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WO2019065688A1 - Système interactif de promotion de santé, système interactif de promotion d'apprentissage et système interactif de promotion d'achat - Google Patents

Système interactif de promotion de santé, système interactif de promotion d'apprentissage et système interactif de promotion d'achat Download PDF

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Publication number
WO2019065688A1
WO2019065688A1 PCT/JP2018/035585 JP2018035585W WO2019065688A1 WO 2019065688 A1 WO2019065688 A1 WO 2019065688A1 JP 2018035585 W JP2018035585 W JP 2018035585W WO 2019065688 A1 WO2019065688 A1 WO 2019065688A1
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WO
WIPO (PCT)
Prior art keywords
information
user
learning
dialogue
purchase
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2018/035585
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English (en)
Japanese (ja)
Inventor
浩 松平
英良 篠原
慶明 杉村
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Travoss Inc
Dentsu Group Inc
Original Assignee
Travoss Inc
Dentsu Inc
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Priority to JP2019545538A priority Critical patent/JPWO2019065688A1/ja
Publication of WO2019065688A1 publication Critical patent/WO2019065688A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention is an invention relating to a system that promotes the health, learning, and purchasing of a system user through a dialog that makes use of the system and feels as if in contact with a single person who is thinking about himself.
  • the information or data that the system judges to be optimal in order to avoid following the advice for health promotion from the system or to avoid troublesome health promotion advice from the system It was supposed to be input to the system. Therefore, we can perform a warm dialogue as if we were talking to human beings, in order to continuously hold emotions that are essential for human beings to repeat and continue their efforts through interaction with the system. It was required to provide an interactive system.
  • the present invention provides the following interactive health promotion system and the like. That is, as a first invention, a user identification information holding unit that holds user identification information that identifies a user who uses SNS, and user related information that includes an utterance of a SNS user who uses the user in association with the user identification information.
  • An SNS user related information acquisition unit that acquires certain SNS user related information as external information, and an analysis that is a rule for acquiring health condition information by analyzing external information from the viewpoint of grasping health conditions in association with user identification information
  • Health condition information analysis acquisition unit that acquires health condition information based on an analysis rule holding unit that holds rules and an analysis rule that is associated with the same user identification information as the acquired external information that is associated with the user identification information
  • dialogue information storing dialogue information to be transmitted according to the health status information acquired in association with the user identification information
  • a user-by-user dialog information selection rule holding unit which holds a user-by-user dialog information selection rule which is a rule associated with user identification information for selecting the dialogue information accumulated based on the acquired health condition information
  • a dialog information selection unit for selecting from the dialog information storage unit dialog information in a dialog format according to the characteristics of each user based on the acquired health condition information and the user-specific dialog information selection rule held
  • a dialog information output unit for outputting dialog information to the user identified by the user identification information via the S
  • a browser search history user related information acquiring unit which acquires browser search history user related information which is search history information of a browser searched by a user in association with user identification information as external information
  • the interactive health promotion system according to the first invention or the second invention further including a news user related information acquiring unit for acquiring news information as external information in association with user identification information. provide.
  • the first invention further includes a life log user related information acquiring unit for acquiring life log user related information which is a life log recorded in the user's terminal in association with user identification information as external information
  • a life log user related information acquiring unit for acquiring life log user related information which is a life log recorded in the user's terminal in association with user identification information as external information
  • the interactive health promotion system according to any one of the first invention to the fourth invention, further comprising a response dialogue information acquisition unit for acquiring response dialogue information to the outputted dialogue information.
  • a response dialogue information acquisition unit for acquiring response dialogue information to the outputted dialogue information.
  • a validity judgment rule holding unit for holding a validity judgment rule which is a rule for judging whether the response dialogue information acquired with respect to the outputted dialogue information is valid or not.
  • a fifth invention described in the fifth invention further comprising a dialogue information validity judgment unit which judges the validity of the dialogue information based on the dialogue information, the response dialogue information acquired for the dialogue information, and the validity judgment rule.
  • the dialogue information validity judging unit is a rule for performing statistical processing of the validity of dialogue information of a plurality of users for each common user attribute with respect to a population with respect to a population Effectiveness statistical processing rule holding means for holding statistical processing rules; Based on the interaction information of a plurality of users and the held effectiveness statistical processing rules, the effectiveness of the interaction information is determined statistically at least for the population, and a statistical determination is made for each common user attribute.
  • the interactive health promotion system according to the sixth aspect of the present invention is provided.
  • the user-by-user dialog information selection rule updating unit updating the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit based on the validity determination result
  • the interactive health promotion system according to the sixth invention or the seventh invention is provided.
  • a user identification information holding unit that holds user identification information for identifying a user who uses SNS, and external information in relation to user identification information to analyze health information in view of health status
  • An analysis rule holding unit that holds an analysis rule that is a rule for acquiring status information
  • a dialog information storage unit that stores dialog information to be sent out according to the health status information acquired in association with user identification information
  • Interactive health information holding rule for each user that holds dialog information selection rules for each user, which is a rule associated with user identification information for selecting the dialog information accumulated based on the selected health status information
  • An operation method of a promotion system which is user related information including an utterance of a user of an SNS used by the user in association with the user identification information.
  • the health condition information is obtained based on the SNS user related information acquisition step of acquiring the NS user related information as the external information, and the analysis rule associated with the same user identification information as the acquired external information associated with the user identification information.
  • the dialogue information of dialog type Based on the health condition information analysis acquisition step to be acquired, and the acquired health condition information and the user-specific dialog information selection rule held, the dialogue information of dialog type according to the characteristics of each user from the dialogue information storage unit
  • a method of operating an interactive health promotion system comprising: a dialog information selection step to select; and a dialog information output step to output the selected dialog information to the user identified by the user identification information via the SNS. provide.
  • a user identification information holding unit that holds user identification information for identifying a user who uses SNS, and user identification information in association with external information is analyzed from the viewpoint of grasping the health situation
  • An analysis rule holding unit that holds an analysis rule that is a rule for acquiring health condition information, and a dialogue information storage unit that stores dialogue information to be transmitted according to the health condition information acquired in association with the user identification information
  • Interactive information selection rule holding unit for each user holding a user-specific dialog information selection rule which is a rule associated with the user identification information for selecting the accumulated dialogue information based on the acquired health condition information
  • An operation method program of a health promotion system comprising: a user relationship of the SNS used by the user in association with the user identification information; SNS user related information acquisition step of acquiring SNS user related information which is information as external information, and health based on the analysis rule associated with the same user identification information as the acquired external information associated with the user identification information
  • the dialogue information of the dialogue type according to the characteristics of each user based on the health condition information analysis acquisition step of
  • a first learning user identification information holding unit that holds user identification information identifying a user who uses an SNS and a learning system, and an SNS user who uses the SNS in association with the user identification information
  • the first learning SNS user related information acquisition unit that acquires SNS user related information that is user related information that includes the remarks of the user as external information, and the learning system that the user uses in association with the user identification information
  • the first learning history information acquisition unit that acquires learning history information that is information indicating the history of learning, and information that indicates the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information.
  • a first learning effect information acquisition unit for acquiring certain learning effect information, external information in association with user identification information, and learning history information
  • a learning analysis rule holding unit which is a rule for acquiring learning situation information by analyzing learning effect information in view of grasping the learning situation, and is associated with user identification information
  • Learning status information analysis acquisition unit that acquires learning status information based on acquired external information, learning history information, learning effect information, and analysis rules associated with the same user identification information, and user identification information
  • the first learning dialogue information storage unit storing dialogue information to be transmitted according to the learning situation information acquired in association with the user identification information associated with the user identification information for selecting the dialogue information accumulated based on the acquired learning situation information
  • the first learning user classified dialogue information selection rule holding unit that holds the classified dialogue information selection rule by user, and the acquired learning status information
  • a first learning dialogue information selecting unit for selecting dialogue information in a dialogue format according to the user-specific dialogue information selection rule from the first learning dialogue information storage unit based on the user-by-user dialogue information selection rule;
  • An interactive learning promotion system comprising
  • a second learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, and an SNS user who uses the SNS in association with the user identification information
  • the second learning SNS user related information acquisition unit that acquires SNS user related information that is user related information that includes the remarks as external information, and the learning system that is performed by the user from the learning system that the user uses in association with the user identification information
  • the second learning history information acquisition unit that acquires learning history information that is information indicating the history of learning, and information that indicates the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information
  • the second learning effect information acquisition unit for acquiring certain learning effect information, and the learning system used by the user in association with the user identification information
  • a second learning curriculum information acquisition unit for acquiring curriculum information performed in the learning system from the learning system, external information, learning history information, learning effect information, and curriculum information in association with user identification information;
  • a second learning analysis rule holding unit that holds learning analysis rules that are rules for analyzing
  • a third learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, and an SNS user who uses the SNS in association with the user identification information
  • a third learning SNS user related information acquisition unit that acquires SNS user related information, which is user related information including the remarks of the person concerned with the learning system (including the remarks generated by the computer), as external information
  • the third learning history information acquisition unit that acquires learning history information that is information indicating the history of learning performed in the learning system that is used by the user from the learning system that is used by the user in association with the Third, acquiring learning effect information, which is information indicating an effect of learning performed in the learning system, from the learning system Learning that is a rule for acquiring learning situation information by analyzing learning effect information acquiring unit, external information in association with user identification information, learning history information, and learning effect information from the viewpoint of grasping the learning situation
  • a third learning analysis rule holding unit that holds analysis rules, acquired external information associated with user identification information, learning history information, learning effect information, and
  • a learning effectiveness judgment that holds a learning effectiveness judgment rule which is a rule to judge whether the dialogue information is effective based on the learning effect information acquired for the outputted dialogue information
  • a rule holding unit a learning dialogue information validity judgment unit for judging the validity of the dialogue information based on the outputted dialogue information, the learning effect information acquired for the dialogue information, and the learning validity judgment rule;
  • the interactive learning promotion system according to any one of the twelfth invention to the fourteenth invention.
  • a learning history valid holding rule for learning history validity judging which is a rule to judge whether the dialog information is valid based on the learning history information acquired with respect to the outputted dialog information
  • the learning history dialogue information validity which judges the validity of the dialogue information based on the sex judgment rule holding unit, the outputted dialogue information, the learning history information acquired for the dialogue information, and the learning history validity judgment rule
  • the learning dialogue information validity judging unit or / and the learning history dialogue information validity judging unit is a part of the validity of the dialogue information of a plurality of users with respect to the population.
  • Learning effectiveness statistical processing rule holding means for holding learning effectiveness statistical processing rules which are rules for performing statistical processing for each common user attribute, dialogue information of a plurality of users, and learning effectiveness statistical processing rules held Learning statistical dialogue information effectiveness information obtained by statistically judging the effectiveness of dialogue information at least partially for each common user attribute with respect to the population learning statistical dialogue information validity information acquisition
  • the interactive learning promotion system according to an eighteenth invention or an eighteenth invention according to the seventeenth invention, further comprising a learning statistical user-specific dialogue information selection rule updating unit updating the dialogue information selection rule.
  • a learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, external information in association with the user identification information, and learning history information
  • a learning analysis rule holding unit which holds learning analysis rules which are rules for analyzing learning effect information and acquiring learning situation information from the viewpoint of grasping the learning situation;
  • a learning dialogue information storage unit storing dialogue information to be transmitted according to learning situation information acquired in association with user identification information, and user identification information for selecting dialogue information accumulated based on the acquired learning situation information
  • An operation method of an interactive health promotion system comprising: a learning user classified dialogue information selection rule holding unit holding a user classified dialogue information selection rule which is an associated rule, which is used by a user in association with user identification information
  • the SNS user related information acquisition step of acquiring SNS user related information that is user related information including the speech of the SNS user as external information, and the learning system performed from the learning system used by the user in association with the user identification information
  • a learning history information acquisition step of acquiring learning history information which is information
  • a learning user identification information holding unit for holding user identification information for identifying a user who uses an SNS and a learning system, external information in association with user identification information, and learning history information Learning effect information and the learning analysis rule holding unit that holds learning analysis rules that are rules for analyzing learning status information from the viewpoint of grasping the learning status, and learning acquired in association with user identification information
  • a dialog for each user which is a rule associated with the learning dialog information storage unit storing the dialog information to be transmitted according to the status information, and the user identification information for selecting the dialog information stored based on the acquired learning status information
  • An operation program of an interactive health promotion system comprising: a learning user-by-learning user dialogue information selection rule holding unit holding an information selection rule, the user being a user
  • a learning SNS user related information acquisition step for acquiring SNS user related information that is user related information including the speech of the SNS user used by the user in association with the separate information as external information, and the user uses it in association with the user identification information
  • a first purchasing user identification information holding unit that holds user identification information identifying a user who has a purchase history of a specific product using an SNS, and a user in association with the user identification information
  • the first purchasing SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remarks of the SNS user that the user uses as the external information, and the user's purchase history of the specific item
  • the first purchase history information acquisition unit that acquires purchase history information that is information indicating the advertisement information, and the advertisement transmission history information that is the transmission history of the advertisement of the particular product that the user may have touched in association with the user identification information
  • the first purchase advertisement advertisement transmission history information acquiring unit for acquiring the external information, the purchase history information and the advertisement advertisement transmission history information in association with the user identification information
  • a first purchase analysis rule holding unit that holds a first purchase analysis rule that is a rule for acquiring purchase status information by analyzing the purchase status of the specific product from the viewpoint of grasping the purchase status, and is associated with user identification information
  • a second purchasing user identification information holding unit that holds user identification information identifying a user having a purchase history of a specific product using an SNS, and a user in association with the user identification information
  • a second purchasing SNS user related information acquiring unit that acquires SNS user related information that is user related information including a statement of the user of the SNS used by the user as the external information, and a purchase history of the specific product of the user
  • a second purchase history information acquisition unit that acquires purchase history information that is information indicating the advertisement information, and advertisement advertisement transmission history information that is a transmission history of advertisement of the particular product that may be in contact with the user identification information
  • a second purchase advertising advertisement transmission history information acquiring unit for acquiring the information, and information indicating user behavior or / and a life log in association with user identification information
  • the second purchasing behavior / life log information acquisition unit for acquiring motion / life log information, external information in association with user identification information, purchasing history information, advertising / advertising dispatch history information, behavior / life log information
  • a second purchase analysis rule holding unit that
  • a second purchase user-by-purchase dialog information selection rule holding unit that holds a user-by-user dialog information selection rule that is a rule associated with user identification information that selects interaction information accumulated based on the purchased purchase status information;
  • a second purchase dialogue information selection unit which selects dialogue-type dialogue information conforming to the characteristics of each user based on the purchase situation information and the user dialogue information selection rule held, from the second purchase dialogue information storage unit
  • a second purchase interaction information output unit for outputting the selected interaction information to the user identified by the user identification information through the SNS.
  • purchase validity holding rule is a rule for judging whether the dialogue information is valid based on the purchase situation information acquired for the outputted dialogue information.
  • Purchase dialogue information validity judgment unit that judges the validity of the dialogue information based on the judgment rule holding unit, the outputted dialogue information, the purchase status information acquired for the dialogue information, and the purchase validity judgment rule And the interactive purchase promotion system according to the twenty-second invention or the twenty-third invention.
  • the purchase dialogue information validity judgment unit is a rule for performing statistical processing on the validity of dialogue information of a plurality of users for each common user attribute with respect to a population.
  • purchase effectiveness statistical processing rule holding means for holding a certain purchase effectiveness statistical processing rule, interaction information of a plurality of users, and the held purchase effectiveness statistical processing rules, the interaction information is statistically effective
  • Purchasing statistical dialogue information validity information acquiring means for acquiring purchasing statistical dialogue information validity information determined at least in part with respect to a population for each common user attribute; Provide an interactive purchase promotion system as described in
  • the user-by-purchasing user interaction information selection rule holding unit (based on the judgment result of the purchase interaction information validity judgment unit (first or second) may be used)
  • the user-specific dialogue is purchased based on the acquired purchase statistical dialogue information validity information (may be first or second) and held in the user-specific dialogue information selection rule holding unit
  • the interactive purchase promotion system according to the twenty-sixth invention subordinate to claim 25 or claim 25 is provided, further comprising a purchase statistical user-based dialogue information selection rule updater for updating the information selection rule.
  • a purchasing user identification information holding unit that holds user identification information that identifies a user having a purchase history of a specific product using an SNS, and the user identification information in association with the user identification information
  • the purchase SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remark of the SNS user who is SNS user as external information, external information in association with user identification information, purchase history information, advertisement advertisement dispatch
  • Purchase analysis rule holding unit that holds purchase analysis rules that are rules for acquiring history information by analyzing history information from the viewpoint of grasping the purchase status of the specific product, and acquiring it in association with user identification information It is accumulated based on the purchase dialogue information accumulation unit which accumulated dialogue information to be transmitted according to the purchased purchase situation information, and the acquired purchase situation information
  • An operating method of the interactive purchase promotion system including a purchase user-by-purchase dialog information selection rule holding unit that holds a purchase user-by-purchase dialog information selection rule which is a rule associated with user identification information for selecting story information;
  • a purchasing user identification information holding unit that holds user identification information that identifies a user who has a purchase history of a specific product using an SNS, and the user identification information in association with the user identification information
  • the purchase SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remark of the SNS user who is SNS user as external information, external information in association with user identification information, purchase history information, advertisement advertisement dispatch
  • Purchase analysis rule holding unit that holds purchase analysis rules that are rules for acquiring history information by analyzing history information from the viewpoint of grasping the purchase status of the specific product, and acquiring it in association with user identification information
  • a purchase dialogue information storage unit storing dialogue information to be transmitted according to the purchased purchase situation information, and a pair stored based on the acquired purchase situation information
  • An operating program for an interactive purchase promotion system comprising: a purchase user-by-purchase dialog information selection rule holding unit holding a purchase user-by-purchase dialog information selection rule which is a rule associated with user identification information for selecting information;
  • a learning response dialogue information acquiring unit for acquiring response dialogue information for the outputted dialogue information, and whether the acquired response dialogue information for the outputted dialogue information is valid A learning response validity determination rule holding unit that holds a learning response validity determination rule, which is a rule, the output dialogue information, the response dialogue information acquired for the dialogue information, the learning response validity determination rule,
  • An interactive learning promotion system according to any of the twelfth invention through the sixteenth invention, further comprising: a learning response dialogue information validity judging unit which judges the effectiveness of the dialogue information based on the above.
  • a learning response dialogue information acquiring unit for acquiring response dialogue information for the outputted dialogue information, and determining whether the response dialogue information acquired for the outputted dialogue information is valid
  • a learning response validity determination rule holding unit that holds a learning response validity determination rule, which is a rule, the output dialogue information, the response dialogue information acquired for the dialogue information, the learning response validity determination rule, And a learning response dialogue information validity judgment unit that judges the validity of the dialogue information based on
  • the learning response dialogue information validity judging unit holds learning response validity statistical processing rules, which are rules for performing statistical processing of the effectiveness of dialogue information of a plurality of users for each common user attribute with respect to a population Based on the learning response effectiveness statistical processing rule holding means, interaction information of a plurality of users, and the held learning response effective statistical processing rules, the effectiveness of the interactive information is statistically applied to at least the population.
  • a learning response statistical dialogue information validity information acquiring means for acquiring learning response statistical dialogue information validity information determined in part for each common user attribute; An interactive learning promotion system according to the invention is provided.
  • the interactive learning promotion system according to the thirty-first invention or the thirty-second invention, further comprising a learning response per-user dialogue information selection rule updating unit for updating the per-user dialogue information selection rule.
  • a thirty-fourth invention based on the acquired learning response statistical dialogue information validity information (which may be any of the first to third) is held in a learning user classified dialogue information selection rule holding unit Dialog according to the thirty-second invention or the thirty-third invention according to the thirty-second invention, further comprising a learning response statistical user-specific dialog information selection rule updating unit for updating the user-specific dialog information selection rule Expression learning promotion system.
  • a purchase response validity judgment rule holding unit that holds purchase response validity judgment rules, which are rules to be output, interaction information output, response interaction information acquired for the interaction information, purchase response validity judgment rules,
  • the interactive purchase promotion system according to the twenty-second invention to the twenty-fourth invention further comprising a purchase response dialogue information validity judgment unit which judges the validity of the dialogue information based on the above.
  • a purchase response dialogue information acquisition unit for acquiring response dialogue information for the outputted dialogue information and whether the response dialogue information acquired for the outputted dialogue information is valid
  • a purchase response validity judgment rule holding unit that holds purchase response validity judgment rules, which are rules to be output, interaction information output, response interaction information acquired for the interaction information, purchase response validity judgment rules,
  • the purchase response dialogue information validity judgment unit determines the effectiveness of the dialogue information based on the above, and the purchase response dialogue information validity judgment unit determines the validity of the dialogue information of a plurality of users with respect to the population.
  • Purchase response validity statistical processing rule holding means for holding purchase response effectiveness statistical processing rules, which are rules for performing statistical processing partially for each common user attribute, Based on the interaction information of a plurality of users and the purchase response effectiveness statistical processing rules held, the effectiveness of the interaction information is judged statistically at least partially for each population, for each common user attribute.
  • An interactive purchase promotion system according to the twenty-second invention to the twenty-fourth invention, further comprising: purchase response statistical interaction information availability information acquiring means for acquiring purchase response statistical interaction information validity information; provide.
  • the user held by the purchase user classified dialogue information selection rule holding unit (first or second may be used) based on the judgment result of the purchase response dialogue information validity judgment unit.
  • the interactive purchase promotion system according to the thirty-fifth invention or the third invention of the invention further has a purchase response user-specific dialogue information selection rule updating unit for updating the separate dialogue information selection rule.
  • the user-by-purchasing user interaction information selection rule holding unit (based on the acquired purchase response statistical interaction information validity information (first or second) may be used)
  • the interactive purchase according to the thirty-sixth invention or the thirty-seventh invention according to the thirty-sixth invention further having a purchase response statistical user-specific dialogue information selection rule updating unit updating the dialogue information selection rule Provide a promotion system.
  • a 39th invention instead of a user having a purchase history of a specific product, the user is described in the 35th invention to the 38th invention as a user having an advertisement transmission history of a specific product. Provide an interactive purchase promotion system.
  • a warm dialog as if talking with human beings to continuously hold emotions that are essential for human beings to repeat and continue their efforts through interaction with the system.
  • FIG. 1 shows the structure of the interactive health promotion system of Embodiment 1 Hardware configuration of interactive health promotion system according to the first embodiment Illustration showing the flow of processing of the interactive health promotion system of Embodiment 1
  • FIG which shows the structure of the interactive health promotion system of Embodiment 2 Hardware configuration of interactive health promotion system according to the second embodiment Illustration showing the flow of processing of the interactive health promotion system of Embodiment 2
  • the figure which shows the structure of the interactive health promotion system of Embodiment 3 Hardware configuration example of the interactive health promotion system of the third embodiment Illustration showing the flow of processing of the interactive health promotion system of the third embodiment
  • the figure which shows the structure of the interactive health promotion system of Embodiment 4 Hardware configuration of interactive health promotion system according to the fourth embodiment Diagram showing the process flow of the interactive health promotion system of the fourth embodiment Example showing the individuality of the interactive health promotion system of Embodiment 5 Hardware configuration example of the interactive health promotion system of the fifth embodiment
  • the figure which shows the flow of the interactive health promotion system of the fourth embodiment Example showing the individuality of the interactive health promotion system of Em
  • FIG. 17 The figure which shows the structure of the interactive learning promotion system of Embodiment 18
  • FIG. 18 The simplified conceptual diagram of the function of AI of the interactive health promotion system of Embodiment 18
  • Hardware configuration example diagram of the interactive learning promotion system according to the eighteenth embodiment A figure showing a flow of processing of an interactive learning promotion system of Embodiment 18
  • FIG. 19 The figure which shows the structure of the interactive learning promotion system of Embodiment 19.
  • FIG. 19 Hardware configuration example diagram of the interactive learning promotion system according to the nineteenth embodiment
  • FIG. 19 Conceptual diagram showing the state of using this interactive purchase promotion system
  • Hardware configuration of the interactive purchase promotion system according to the twenty-second embodiment The figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 22
  • the figure which shows the structure of the interactive purchase promotion system of the implementation body 23 Hardware configuration of the interactive purchase promotion system according to the twenty-third embodiment A figure showing the flow of processing of interactive purchase promotion system of Embodiment 23
  • the figure which shows the structure of the interactive purchase promotion system of Embodiment 24 Hardware configuration example diagram of the interactive purchase promotion system according to the twenty-fourth embodiment A figure showing the flow of processing of an interactive purchase promotion system of Embodiment 24
  • FIG. 25 A figure showing the flow of processing of interactive purchase promotion system of Embodiment 25
  • the figure which shows the structure of the interactive purchase promotion system of Embodiment 26 The simplified conceptual diagram of the function of AI of the interactive health promotion system of Embodiment 26
  • a diagram of a hardware configuration of the interactive purchase promotion system according to the twenty-sixth embodiment The figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 27
  • the figure which shows the structure of the interactive purchase promotion system of Embodiment 27 Hardware configuration of the interactive purchase promotion system according to the twenty-seventh embodiment
  • the figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 27 A figure showing an example of composition of Embodiments 20 and 21.
  • Embodiment N corresponds to claim N.
  • N is 1 to 39.
  • the present invention should not be limited to these embodiments at all, and can be implemented in various modes without departing from the scope of the invention.
  • FIG. 1 is an image conceptual diagram showing the relationship between an interactive health promotion system, various SNS services, and users.
  • a (0102 a), B (0102 b), C (0102 c), D (0102 d) and E (0102 e) using SNS are SNS systems such as SNS 1 (0103), SNS 2 (0104), SNS 3 (0105) We use and interact.
  • FIG. 2 is an image conceptual diagram when giving health promotion advice to a user who has an interactive health promotion system.
  • Conversational health promotion system (0201) conversation information ("Good morning”"Today is still sleepy") that the user (0202) registered in the interactive health promotion system sends out using SNS etc.
  • the interactive health promotion system determines the background purpose and determines appropriate dialogue information for achieving the purpose from the acquired current health status of the user. For example, if you decide that you want the user to do aerobic exercise as a background purpose, as good dialogue information for achieving the purpose, "Good morning. A little tired. Today's recommendation is “Ueno Park.” It is not a systematic expression, “ ⁇ ⁇ ( ⁇ ⁇ ⁇ ) good morning ⁇ I'm getting tired today? Today's recommendation is Ueno Park !! Art museum or super cute baby panda can be seen ( ⁇ _-)- ⁇ ", etc., health promotion advice with the tone suitable for the user using SNS (0207) is output to the portable terminal (0208) that receives the interaction with the interactive health promotion system owned by the user.
  • the interactive health promotion system uses, as a first feature, external information such as the user's speech on the SNS.
  • external information such as the user's speech on the SNS.
  • the acquired external information is analyzed as data, and the user's "feeling" is analyzed from the information rather than merely acquiring numerical physical health condition information, and physically
  • mental health status information is also acquired, and "current health status” taking into consideration both physical health and mental health is analyzed and acquired.
  • the content of the optimal advice is selected from the "current health condition” analyzed and acquired, and the advice content selected using the optimal tone according to the tone that the user usually uses Output
  • FIG. 3 is a diagram showing an example of the configuration of the interactive health promotion system of the first embodiment.
  • the interactive health promotion system of the first embodiment includes a user identification information storage unit (0301), an SNS user related information acquisition unit (0302), an analysis rule storage unit (0303), and health condition information analysis acquisition. It consists of a part (0304), a dialogue information storage part (0305), a dialogue information selection rule holding part for each user (0306), a dialogue information selection part (0307), and a dialogue information output part (0308). Note that this system does not have to contain all the functional parts in one case, and is not limited to one configured by only one computer or server.
  • the present system may be configured to be housed in a plurality of cases and function as a whole, or may be configured to function in cooperation with a plurality of computers and servers. Furthermore, in the case where the system is configured of multiple cases, multiple computers, and servers, it does not prevent the system from being installed across borders. This is common not only to this system but also to an idea equivalent to this system as an operation method and an operation program as an operation program. This concept of a system applies throughout the present specification (all of the embodiments 1 to 39).
  • Embodiment 1 User Identification Information Holding Unit
  • the “user identification information holding unit” holds user identification information that identifies a user who uses the SNS.
  • the user identification information held by the user identification information holding unit is user identification information in the interactive health promotion system of the user using the interactive health promotion system.
  • the user identification information is information that can uniquely identify the user without the present system, and for example, a telephone number, an e-mail address, an ID specially set by the user, fingerprint authentication information, voice print authentication information, iris authentication information Information for vein authentication, individual identification code such as communicable portable terminal where user uses SNS, Mac address of communicable portable terminal where user uses SNS, etc.
  • the information that is stored in association with the user identification information is information that the user who is the user registers as user information at the time of use (for example, a telephone number, an e-mail address, an ID that the user specially sets, a name, a date of birth Address, occupation, age, gender, height, weight, average body temperature, pulse rate, respiratory rate, heart rate, exercise volume (hours, quality, form etc), commuting time, commuting distance, commuting method , Presence or absence of alcohol consumption, presence or absence of gym visits, family structure, etc., information for specifying the SNS service used by the user, and an ID used by the user for the SNS service.
  • a life log indicating the physical condition of the user heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like. These are acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function.
  • the portable memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • the portable memory can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
  • the user attribute information held in association with the user identification information is configured to be registered by the user at the start of using the interactive health promotion system. With this registration, the interactive health promotion system can be configured to be available.
  • the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data of a hospital or the like having a usage history, data held by a facility such as an electronic medical chart system used by a user, a training gym used by a user, a training application used by a user, etc. can be used.
  • SNS user related information acquisition unit acquires, as external information, SNS user related information which is user related information including the speech of the user of the SNS used by the user in association with the user identification information.
  • SNS user related information is one of “external information”, and various information described later may be included in the external information.
  • the SNS user related information is, for example, the user's speech information in the SNS, the user's reaction information to the other person's speech in the SNS, the information on the other person who is set to check the speech in the SNS, the user in the SNS Information on other people who have specified special relationships such as friends, information on the other person's comments that the user is browsing in the SNS, Speak to the other person's user who is in a friend relationship in the SNS, then via the SNS So-called check-in information that sends out whereabouts of the user, photos such as videos uploaded to the SNS, information such as moving pictures, recording information (voice memo) stored in the SNS, call content information performed via the SNS, user within the SNS Purchase related information, location information obtained from SNS, game related information used in SNS (game usage frequency, game win / loss information, game Progress information, game-related friend information, etc., the time zone when the user is active in SNS, the user's behavior when the user is active in SNS (for example, often
  • the SNS user related information includes not only information displayed as characters through the network but also data input and output as voice, images, moving pictures, and the like. Therefore, conversations and silences exchanged over the phone (including smartphones, mobile phones, fixed phones, tablet devices, portable computers, desktop computers, etc.), laughter, loneliness, screams, screams, screams, voice colors etc. are also external information. It may be acquired (it is the same as external information throughout the present specification).
  • “SNS” means, in a broad sense, a service or a website that can construct a social network (person-to-person connection).
  • social networking services are "community-based registration services” that promote and support human-to-human connections, and to promote or streamline communication between individuals. Used for In some cases, it is a system that can not participate without an invitation from existing participants, with an emphasis on close connections. Examples of SNS include "Facebook (registered trademark)", “LINE (registered trademark)", “Twitter (registered trademark)”, “Youtube (registered trademark)”, “Instagram (registered trademark)”, etc. it can.
  • the analysis rule does not have to be a rule for acquiring only the states of “being healthy”, “being ill”, “being cold” as health condition information, Healthy, “relatively healthy”, “very poor physical condition”, “a little disorientation”, “the heat is blowing", “the throat is out”, etc. It may be a rule that can obtain health status information including information indicating the degree and symptoms.
  • Mental health status information can be obtained by feeling that can be obtained from conversation etc. Examples of the feeling are: happy, happy, happy, feeling good, refreshing, satisfied, refreshing, touching, touching, calming, healing, calming An expression that expresses a positive mood, such as excitement, excitement, excitement, nostalgia, love, love, love, fall in love, respect, etc. is in a state of good mental health or in a good specific situation, It can be judged.
  • the mental situation is good, not only bad, but also peace of mind, anxiety, appreciation, astonishment, excitement, curiosity, sexual curiosity, calmness, irritability, wonder (embarrassment), good luck, relaxation, tension, honor , Responsibility, respect, intimacy (intimacy), ashamed (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, dissatisfaction, remorse, hate, shame, scorn, guilt, murder, hope
  • the analysis rule may be configured to grasp mental situations such as sense of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, licking, despair, hate, emptiness as health condition information.
  • Rorschach test is used to analyze what you imagine from what you see through vision, but in this system, not only what you see (feel) through vision, but also abstract in conversation Includes all understandable objects. For example, it may be words such as "park bench”, "crosswalk” and the like. Basically, this method is used using AI or the like to improve the accuracy of correlation estimation between the conversations of many users and estimated health condition information while learning.
  • the analysis rule is preferably a rule for acquiring not only physical health condition information but also health condition information combining physical health condition information and mental health condition information.
  • Physical health information includes physical fatigue, drowsiness, nausea, fatigue, fever, headache, abdominal pain, sore throat, back pain, muscle aches, hangovers, dizziness, high blood pressure, high pulse, shallow blood pressure, blood sugar It is health status information that is judged from the presence or absence of dialogues and videos that complain of pathological symptoms such as high value, obesity, or a disease being treated. According to the physical health condition information, it is judged to be unhealthy if there is no dialogue or video etc. which complains of a pathological symptom, and if there is a dialogue or video etc. which complains about a pathological symptom.
  • health condition information includes exercise amount, respiration amount, walking amount, calorie intake, food intake, food intake, alcohol consumption, water intake, weight, height, body temperature, blood pressure, BMI value, abdominal circumference, Visceral fat, body fat percentage, visual acuity, intraocular pressure, lung function, urine test value, stool test value, blood biochemistry test value, etc. may be used.
  • physical health status information means, according to the definition of WHO, the health status is "Dynamic status of physical, mental, spiritual and social welfare”. “It is not simply the absence of a disease or illness.” Physical health means, among them, “a complete physical, Dynamic (normally active) state,” and only a disease or illness.
  • Physical health status refers to a condition that is not a complete physical, dynamic (normally active) condition, not simply the absence of a disease or illness. Point to something that indicates the situation. Therefore, in the case of being healthy, not being healthy, or in any case, it is information indicating the situation.
  • Mental health status information is mentally good, feeling uplifting, motivated, feeling that you want to challenge something, pleasant, happy, happy, etc. positive mental status And health condition information judged by which of two mental states of negative mental state such as depressed, troubled, sad, anger, aversion, irritability, hunger, etc. is there. According to the mental health condition information, it is judged to be healthy if it is positive, and unhealthy if it is negative.
  • mental health status information is mental health, “Dynamic (normally active) state of complete mental (spirit), spiritual and social (social) welfare, only mental It is not the absence of any major illness or mental illness. ”It is a Dynamic (normally operational) state or spirit of complete mental (spiritual), spiritual and social welfare. Indicate a condition related to the absence of a major or mental illness.
  • the health status information includes "information on the condition about pain", “information on the condition about stress”, “information on the condition about habituation”, “information on the condition about labor productivity”, “so-called population”
  • This may include information on the situation about the mental distance between the robot, robot intelligence such as intelligence, conversational computer, artificial intelligence speaker, and the like.
  • physical condition information and mental health condition information are combined to obtain health condition information. If you are in a mental state, you can not spend the day actively, and you often feel that you are feeling unwell as the physical and mental health of the person, so information that indicates that you are unhealthy as health status information Will be acquired. Alternatively, if physically ill symptoms are observed but the person is in a mentally positive mental state, it is determined to be unhealthy because it is important to be aware of the physical condition and to be treated.
  • the analysis rule also includes a rule for performing analysis from the viewpoint of whether the health status has been improved or the good health status has been maintained from the mid- and long-term perspective. Is preferred. Therefore, it is also necessary to analyze daily variations in health status, but it is judged whether health status has improved, or has been stepped on or deteriorated in the medium term. You need a rule.
  • the “health condition information analysis acquisition unit” acquires health condition information based on the acquired external information associated with the user identification information and the analysis rule associated with the same user identification information. Among the many utterances of the user in the SNS user related information, it is common that a plurality of utterances are mixed from the utterance judged to be healthy by the analysis rule to the utterance judged to be unhealthy.
  • the health condition information analysis acquisition unit acquires the user's health condition information by comprehensively analyzing the plurality of health and unhealthy health condition information acquired by the analysis rules. For example, a method may be considered in which the health condition information obtained by the analysis rule is compared with the number of unhealthy condition information to adopt the larger health condition.
  • the health condition information analysis Analysis in line with the individuality of Therefore, even if the conversation log is similar, if the user is different, the health condition information obtained by analyzing the health condition information may be different. Accumulation of external information such as user's SNS conversations increases the accuracy of analysis, and it is possible that the user's feeling changes with the age, so similar external information of the same user Even when health condition information analysis is acquired, different results may be acquired.
  • Embodiment 1 Dialogue Information Storage Unit stores dialogue information to be transmitted according to the health condition information acquired in association with the user identification information.
  • the dialogue information is stored in a database as any and every conversation that may be spoken in the general society.
  • the example sentence of the conversation which is the basis for giving advice to the user on health promotion or the establishment of health practices, is held particularly deeply.
  • Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, the foundation is built on the basis of language dictionary database, conversation dictionary database, etc. Furthermore, SNS, information provision site, corporate advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably).
  • the dialogue information constituting the health promotion advice and the like is a specialized medical term, or using a specific food name, a specific store name, or a coined word. Since technical terms and specific store names and coined words can not always be acquired reliably from the Internet, it is configured so that a special language group can be input by a person directly inputting in the storage unit. Is preferred.
  • the user reflects on the individuality of each user and selects and outputs the dialog information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that the dialogue information be stored so that the form of the conversation can be selected as well as the selection of the conversation content, such as whether it will be lost or not.
  • the dialogue information storage unit may store dialogue information as a dialogue having the same meaning depending on differences in formation of the dialogue.
  • the dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the dialogue information output unit described later sets the basic dialogue information selected from the dialogue information storage unit to the individuality of the user. I can think of a way to convert it into an interactive form.
  • a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule.
  • “thank you.” “Thank you” “Thank you” “Okini” “Thank you” “Thank you” “Thank you” “Thank you” etc. are all expressions that express gratitude. Only "Thank you” will be saved.
  • the dialog information stored in the dialog information storage unit may be configured to be able to be displayed on the interface monitor.
  • a dialog information storage unit has a dialog information storage unit management means so that management actions such as addition, change and deletion of dialog information can be manually performed from the interface screen on which the stored dialog information is displayed.
  • the dialogue information storage unit management unit is provided as a new configuration.
  • the management action of the dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive health promotion system.
  • the “user-by-user dialog information selection rule holding unit” holds a user-by-user dialog information selection rule which is a rule associated with user identification information for selecting the dialogue information accumulated based on the acquired health condition information.
  • the user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is concerned about himself. It is a rule for selecting dialogue information so as to be a natural conversation. The form of conversation according to the form of the user's dialogue from the external information, user outgoing information etc.
  • SNS information about the speech by speech, speech by speech, reading record, other SNS users who are registered, etc.
  • the user-specific dialogue information selection rule is configured to be selected according to the health status information based on the external information that may also include the user's response dialogue information, but the goal is to become healthy and maintain health.
  • the goal to be achieved is accumulated in hierarchical structure, judgment based on health condition information, appropriate utterance according to where inferred health condition is located in this hierarchical structure (dialogue information) May be configured to be selected. That is, when the health goal to be achieved is determined, the dialogue information may be selected in association with the health state in the hierarchical structure so that the dialogue information is selected accordingly.
  • the intake status of sugar that is the cause of diabetes can be judged and estimated based on health status information, and sugar intake can be reduced by about 5% compared to the current level As such, dialogue information is selected.
  • dialogue information is selected for users suffering from severe diabetes, as well as selecting dialogue information so as to reduce sugar intake by about 20%, so as to select dialogue information that makes it a habit to take insulin. Configure. That is, even the same diabetes user can be configured such that the dialogue information selected according to the hierarchical position viewed from the final goal of health becomes appropriate.
  • General dialogues that are registered in advance are formally registered, such as polite language, spoken language, gal language, Osaka dialect, Kyoto dialect, Hakata dialect, Nagoya dialect, Hokkaido dialect, Hokkaido dialect, etc.
  • What can recognize the interactive health promotion system as if the user is more familiar and living is the method of assembling an interactive form that can more strongly reflect the user's individuality.
  • the amount of external information accumulated to analyze the user's individuality is small.
  • a default format is automatically selected.
  • the user can select and register an interactive form and start it in the interactive form of the user's preference.
  • it may be configured to automatically select an appropriate interaction type according to the user's attribute.
  • the attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, entertainer, historical person, announcer, character) and the like.
  • the user In analyzing the format of the dialogue information from the conversation information of the user's SNS, the user is not merely confined by the user's speech format, but by analyzing the conversation format of friends and family whom the user frequently interacts with, the user It is conceivable to assemble another dialogue information selection rule. By analyzing and reflecting the manner in which the conversation partner actually talks everyday, the user can give a sense of security as if speaking to a friend or family member.
  • the dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
  • the response may be a rule for selecting the response by the dialog information selection unit. Conceivable. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
  • Embodiment 1 Dialogue Information Selection Unit selects, from the dialogue information storage unit, dialogue-type dialogue information conforming to the characteristics of each user based on the acquired health condition information and the user-specific dialogue information selection rule held. .
  • the dialog information is stored in the dialog information storage unit for each difference in the dialog format, the dialog information matching the dialog format and the dialog content selected by the user-specific dialog information selection rule is selected.
  • the dialog information storage unit when the dialog information is not stored for each difference in the dialog format and the dialog information is stored for each meaning of the content of the dialog regardless of the dialog format, the user-by-user vs.
  • the basic dialogue information selection rule selects the basic dialogue information from the dialogue information storage unit in accordance with the dialogue content specified by the user, and convert the selected dialogue information into the dialogue form matching the dialogue form specified in the user-by-user dialogue information selection rule.
  • the basic dialogue information may indicate not a word itself but a group of words.
  • identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”.
  • the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule It is converted to the interactive form that conforms to.
  • the above work is the selection of dialogue information. This selection is configured to be made instantaneously by the computer. Specifically, when an input from a user is accepted through the SNS, the response is displayed on the screen without giving a margin for the user to close the screen of the SNS. As an example, it is about 1 second or less on average.
  • Embodiment 1 Dialogue Information Output Unit The "dialogue information output unit" outputs the selected dialogue information to the user identified by the user identification information via the SNS.
  • the speed at which the dialogue information output unit outputs the dialogue information is the speed at which the user's input is promptly responded to if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard.
  • the output is a portable terminal of the user.
  • the SNS to be output may be an application dedicated to the interactive health promotion system or an SNS service managed and provided by another system that is not dedicated to the interactive health promotion system that the user routinely uses. It is also good.
  • the format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures. In order to make you feel as if you are talking to a real person, it is better to use the SNS service that you use on a daily basis with real people, rather than using dedicated applications. It is effective that the dialogue information output from the interactive health promotion system will be displayed naturally mixedly.
  • the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become.
  • the output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable.
  • the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
  • the output format is not always the same method, but characters, illustrations, sounds, images, moving images, vibrations (The above includes SNS messages, emails, AV devices, etc.), robot operation and sound.
  • an animated character in a display (which may simulate a human being close to the real thing, and the human being may be a teacher, a lecturer, a friend, a relative, or a celebrity or a celebrity employed in an advertisement or campaign)
  • the combination of multiple output methods such as motion / voice / expression of the character, motion / voice / expression of the character of the projection video, room temperature, lighting, etc. may be similar to interaction with a real human, (This example relating to the output format is applied throughout the present specification (embodiments 1 to 39).
  • voice information of the dialogue information to the guest user via the voice interactive health promotion system by generating and holding the person and making the person recognized as a guest user in the interactive health promotion system to receive the voice call. It is also possible to make it the following composition.
  • the guest user is only performing user registration to the interactive health promotion system at a remote location through a voice call.
  • the user terminal is defined as a guest user to distinguish it from the case where the interactive health promotion system is activated, the user is called the calling phone number, voice, name, member at the time of the first voice call.
  • the guest user's attribute information preferences, how to talk, how to make sense, hobbies, etc.
  • the guest user's attribute information accumulated in the past voice calls in the next and subsequent voice calls. It is possible to output dialogue information in which thinking etc. is reflected.
  • the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
  • the dialogue information output as health promotion advice is dialogue information that encourages exercise based on health therapy, dialogue information that encourages habituation of exercise, or regular intake of supplements and medicines Such as a notice that the time for intake has come and dialogue information that encourages intake, and dialogue information that encourages the purchase of exercise products, supplements, drugs, etc., in order to further promote the user's health, etc. This includes all the advice that leads to health promotion.
  • the output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible.
  • the name may be freely set at the time of initial user registration.
  • an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system. Furthermore, it is not necessary that one friend is a system, and a plurality of friends may be designed to talk to one user.
  • the conversation between the user and the friend who is the system may be performed as the selected conversation.
  • the user is made to obtain health maintenance, promotion motivation, etc. from conversations between friends etc.
  • the speech of a friend or the like who is the system may be switched according to the position information.
  • a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time. For example, it is a conversation such as "It has been very fat since we first met.”
  • it may be effective to set a friend or the like which is a common system among a plurality of users. For example, “After you worked with you last time, Mr. Tanaka lost 3 kilos, but you're like a comparison?" Or "If Mr.
  • a friend etc. do not necessarily need to be avatars as a person, and may set various things, such as a mammal, a fish, an insect, and a thing. Further, the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc. In addition, you may send information such as equipment, supplements, etc., to promote use.
  • the friends who are the system may give a sense of presence, warmth and civilization by using an avatar schedule in which events are set according to the passage of time, such as going up the stairs of life, to be experienced as an accident. For example, having a cold, having entered a school, having graduated from a school, having a lover, being lover-in-law, getting married, getting divorced, getting licked, fat, skinny, surgery, being late, Mistakes, oversleeping, over-drinking, over-eating, children were born, promoted, changed jobs, retired, grandchildren, etc.
  • FIG. 4 is a diagram showing a hardware configuration of the first embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the "user identification information holding program” holds user identification information as a program constituting the hardware of the first embodiment.
  • the "SNS user related information acquisition program” acquires SNS user related information. This is done via an interface program with the SNS.
  • the "analysis rule holding program” holds analysis rules.
  • the “health condition information analysis acquisition program” acquires health condition information based on analysis based on analysis rules.
  • the “dialog information storage program” stores dialogue information.
  • the “user-by-user dialog information selection rule holding program” holds a dialog information selection rule for each user.
  • the “dialogue information selection program” selects appropriate dialogue information from among the dialogue information accumulated based on the acquired health condition information and the held user dialogue information selection rule.
  • the “dialog information output program” outputs the selected dialogue information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • non-volatile memory As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), analysis rule, health status information, dialogue information, dialogue information selection rule by user, selection
  • the dialogue information various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
  • non-volatile memory, main memory, CPU, and interface are connected to a bus line so as to be able to communicate with each other.
  • FIG. 5 is a diagram showing the process flow of the most basic configuration of the first embodiment.
  • a user identification information holding step (0501) for holding identification information of one or more SNSs used by the user, SNS user related information for acquiring SNS related information of the user as external information Acquisition step (0502), analysis rule holding step (0503) for holding analysis rule which is a rule for analyzing the user's health condition from external information, and for acquiring user's health condition information from external information and analysis rule Health condition information analysis acquisition step (0504), dialogue information accumulation step (0505) for accumulating information on countless languages and conversations used on the Internet etc., reflecting the individuality of the user acquired from external information User-specific dialogue information to select health promotion advice according to the user's health status information User-specific dialog information selection rule holding step (0506) for holding the rule, and the user-specific dialog information selection rule held by the user-specific dialog information selection rule holding unit Dialog information selection step (0507) for selecting dialog information suitable for the health condition and personality
  • the interactive health promotion system can acquire information on the browser search history of the user as external information.
  • Embodiment 2 Configuration of the Invention As an example of the configuration of the interactive health promotion system of the second embodiment, as shown in FIG. 6, a user identification information holding unit (0601), an SNS user related information acquisition unit (0602), a browser search history user related information acquisition unit ( 0603), analysis rule holding unit (0604), health condition information analysis acquiring unit (0605), dialogue information storage unit (0606), user-by-user dialogue information selection rule holding unit (0607), dialogue information selection unit (0608), dialogue And an information output unit (0609).
  • the description of the configuration common to the first embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • the “browser search history user related information acquisition unit” uses a communication terminal such as a mobile phone, a smartphone, a tablet terminal, a personal computer, etc., in which the user uses the interactive health promotion system, in association with the user identification information. Acquire the browser search history made by the user as external information. “Browser search history user related information” includes information of a product purchased by the user via the Internet, information of a product browsed even if not purchased, site information searched, search word searched, Information on all the activities performed by the user using the communication terminal, such as information on places searched and information on events, is included.
  • Browser search history By acquiring user related information and analyzing it as health condition information, for example, when the user's shopping volume is increasing, it is possible to obtain health condition information that stress tends to be accumulated. it can. For example, according to the browser search history of the user, when the information of food of the season limited fair is searched frequently, the calorie intake amount tends to be excessive, and thus the health condition that it is obese tendency Information can be obtained. For example, when the user is acquiring information searching for information sites such as back pain and stiff shoulders, the user is in a state of feeling pain in his or her hip or shoulder, or he feels discomfort in his or her hip or shoulder.
  • the restaurant visited on the search site (for example, a restaurant with a tag of "I went" instead of "I want to go") is booked from the internet Obtain information from the restaurant) and use it to predict food intake.
  • the ingested food component is used, for example, by analyzing a picture of the food posted on the search site and a menu for prediction. Therefore, means such as image analysis is used for this analysis.
  • it detects the actual application analyzes the course of the travel to which the application has been made, analyzes the calories consumed, calories consumed, food ingredients consumed, and acquires health status information To help.
  • the energy consumed by the elevation difference is predicted using map information.
  • the calorie intake and the food component ingested are predicted from the menu.
  • a search site for public transportation trains, buses, planes, travel plans from the departure place to the destination on foot
  • it consumes for the movement of the determined search route It is used to predict the calories consumed etc. and to obtain health status information.
  • the intake calorie information and the intake food ingredient information from the information of the food which will be consumed in a predetermined period by the purchase history of the online supermarket. It is also conceivable to predict the average energy consumption per day based on the information of exercise related tools purchased on the net (tool for training abs, tools for making muscles, tools for dieting, etc.). In addition to the browser search history, it is also conceivable to obtain the typing amount of the keyboard to predict the calorie consumption.
  • FIG. 7 is a diagram showing a hardware configuration of the second embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the second embodiment shown in this figure the program having the same function as that of the first embodiment has already been described, and hence the description thereof is omitted.
  • the “browser search history user related information acquisition program” newly added in the present embodiment acquires a browser search history as user related information.
  • FIG. 8 is a diagram showing the flow of processing of the most basic configuration of the second embodiment.
  • user identification information holding step (0801) SNS user related information acquisition step (0802), browser search history user related information acquisition step for acquiring the user's browser search history as external information (0803) , Analysis rule holding step (0804), health condition information analysis acquiring step (0805), dialogue information accumulation step (0806), user-by-user dialogue information selection rule holding step (0807), dialogue information selection step (0808), dialogue information output And step (0809).
  • Embodiment 3 ⁇ Embodiment 3 Outline>
  • the invention in this embodiment in addition to the configuration of the first embodiment or the second embodiment, acquires news information related to a user.
  • the description of the configuration common to the first embodiment or the second embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • the "news user related information acquisition unit” acquires news information as external information in association with user identification information.
  • News user related information includes news about events in which the user is interested, obtained from SNS user related information, and news about events in the vicinity of the district that is the base of activities such as near the user's residence or near the company, The news of the information providing site registered by the user, the weather news (including the weather forecast) of the area where the user is located, etc. may be considered.
  • the news user related information is not directly related to the type of dialogue or health status information, but is information that plays an important role in multidimensional analysis of the user's health status.
  • the news user related information is not directly related to the health condition information, but it is also effective to reflect it on the content of the health promotion advice.
  • the health promotion advice is associated with an event or related event related to the area in which the user is interested, the possibility of the user performing the health promotion action according to the advice increases. Also, if there are events such as festivals, flea markets, and fireworks events near the user's residence, there will be traffic restrictions on regular running routes, and there will be a lot of traffic There is a possibility that you can not run, so it is possible to suggest running on another route, or advise that you do stretching or muscle training indoors without running on that day.
  • the user may go on a walk by taking a walk on the way to see the new product. It is possible to advise you to have lunch at a store that sells health food in a nearby area.
  • the interaction is not interesting, and the user can not feel civilization from the interactive health promotion system, and can not continue using the health promotion system for the same exchange at all times.
  • it is configured to be able to suggest a model for how to spend holidays and health promotion advice related to recommended outing spots etc. by linking it to familiar events and things that users are interested in, It is possible for the user to enjoy the health promotion behavior, and to make the user recognize as if it is human-like interaction rather than mechanical interaction.
  • weather information of the area where the user is located is acquired as news user related information
  • information such as the temperature of the day, sunny, rain, strong wind, etc. is used for analysis of health condition information.
  • the weather information is "fine weather today, the maximum temperature is 35 degrees Celsius, the humidity is high", as an example of the health status information obtained based on the analysis rule, “heatstroke occurs during daytime outings” "There is a risk.”, "There is a risk that the body will run out of water when going out in the daytime.”
  • healthy information obtained based on the analysis rule in the case of “cloudy today, maximum temperature is 5 degrees Celsius and humidity is low", “There is a risk of hypothermia.” There is a risk of further worsening, "There is a risk of damaging the throat.”
  • Today's weather has strong winds due to typhoons and heavy rains.”, “There is a risk of injury due to splashes.” Or “There is a risk of being covered by river flooding.”
  • weather information is information that plays an important role in multidimensional analysis of the user's health status.
  • FIG. 10 is a diagram showing a hardware configuration of the third embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the third embodiment shown in this figure the programs having the same function as the first embodiment or the second embodiment have already been described, and hence the description thereof is omitted.
  • the "news user related information acquisition program" newly added in the present embodiment acquires news information as user related information.
  • FIG. 11 is a diagram showing the flow of processing of the most basic configuration of the third embodiment.
  • user identification information holding step (1101) SNS user related information acquisition step (1102), news user related information acquisition step (1103) for acquiring news information related to the user as external information
  • Analysis rule holding step (1104) health condition information analysis acquisition step (1105), dialogue information accumulation step (1106), user-by-user dialogue information selection rule holding step (1107), dialogue information selection step (1108), dialogue information output step And (1109).
  • Embodiment Embodiment 4 Outline The invention of this embodiment can obtain the user's life log in addition to the configuration of any one of the first to third embodiments.
  • an exemplary configuration of the interactive health promotion system includes a user identification information holding unit (1201), an SNS user related information acquisition unit (1202), and a life log user related information acquisition unit (1203).
  • the description of the configuration common to any one of the first to third embodiments is omitted, and a configuration characteristic to the present embodiment will be described.
  • the “life log user related information acquisition unit” acquires, as external information, life log user related information which is a life log recorded in the terminal of the user in association with the user identification information.
  • a life log is information that can be acquired by a portable terminal or the like, or information acquired by another external device, such as the number of steps, moving distance, blood pressure, heart rate, blood sugar level, water content, body fat percentage, weight , Height, muscle mass balance, bone density, respiratory rate, vital capacity, blood test results, MRS test results, urine test, blood alcohol concentration, body temperature, muscle contraction / relaxation degree, brain wave, blood flow velocity, blood Medium oxygen concentration, degree of allergic reaction, degree of accumulation of fatigue substance, etc.
  • These can be acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function.
  • the portable memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • the portable memory can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
  • the user attribute information held in association with the user identification information can be configured to be registered by the user at the start of using the interactive health promotion system. With this registration, the interactive health promotion system can be configured to be available.
  • the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data of a hospital or the like having a usage history, data held by a facility such as an electronic medical chart system used by a user, a training gym used by a user, a training application used by a user, etc. can be used.
  • the prior art numerically analyzes the numerical information acquired from the life log to promote the health situation. Therefore, the process of acquiring the numerical information and the peculiarity of the contents of the acquired numerical information have become problems.
  • the interactive health promotion system does not analyze the information acquired from the life log numerically, but analyzes the health of the user's "feeling" in such behavior or state.
  • the interactive health promotion system obtains health status information from physical health and mental health. This physical health is numerical health, and mental health is mental health. For example, when mentally unstable, the pulse may be fast, arrhythmia may occur, the breathing may be shallow and the respiratory rate may be increased, the heart rate may be accelerated, or the temperature may increase rapidly.
  • FIG. 13 is a diagram showing the hardware configuration of the fourth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the fourth embodiment shown in this figure the programs having the same function as any one of the first to third embodiments have already been described, and thus the description thereof is omitted.
  • the “life log user related information acquisition program” newly added in the present embodiment acquires the user's life log as user related information.
  • Acquisition of life log is not limited to acquisition from a terminal using SNS.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information, life log user related information
  • analysis rules including SNS user related information, life log user related information
  • health status information including SNS user related information, life log user related information
  • dialogue information classified by user
  • a dialogue information selection rule selected dialogue information, various setting information such as communication not shown, etc.
  • FIG. 14 is a diagram showing the flow of processing of the basic configuration of the fourth embodiment.
  • the hardware configuration of the fourth embodiment also has the user identification information holding step (1401), the SNS user related information acquisition step (1402), and the life log information related to the user as external information in the nonvolatile memory.
  • the invention in this embodiment can obtain a response from the user in addition to the configurations described in the first to fourth embodiments.
  • a user identification information holding unit (1501), an SNS user related information acquisition unit (1502), an analysis rule holding unit (1503), health Situation information analysis acquisition unit (1504), dialogue information storage unit (1505), dialogue information selection rule holding unit for each user (1506), dialogue information selection unit (1507), dialogue information output unit (1508), response dialogue information acquisition unit And (1509).
  • a user identification information holding unit (1501)
  • an SNS user related information acquisition unit (1502)
  • an analysis rule holding unit (1503
  • health Situation information analysis acquisition unit (1504
  • dialogue information storage unit (1505
  • dialogue information selection rule holding unit for each user (1506
  • dialogue information selection unit (1507
  • dialogue information output unit (1508
  • response dialogue information acquisition unit And (1509
  • the “response dialogue information acquisition unit” further includes a response dialogue information acquisition unit that acquires response dialogue information for the outputted dialogue information.
  • Response dialogue information refers to the user's response to the health promotion advice output from the interactive health promotion system, sending to SNS, response directly input to the interactive health promotion system, health promotion The life log on the action taken by the user after the advice, etc. corresponds to the response dialogue. Therefore, the response dialogue information is not limited to the verbal information, but also includes behavioral information and numerical information such as blood pressure and blood glucose level.
  • FIG. 16 is a diagram showing a hardware configuration of the fifth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the fifth embodiment shown in this figure the programs having the same function as any one of the first to fourth embodiments have already been described, and hence the description thereof is omitted.
  • the “response dialogue information acquisition program” newly added in the present embodiment acquires response dialogue information corresponding to the outputted dialogue information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule analysis rule
  • health status information e.g., dialogue information selection rule by user, selection
  • the dialogue information, response dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
  • FIG. 17 is a diagram showing the flow of processing of the most basic configuration of the fifth embodiment.
  • user identification information holding step (1701) SNS user related information acquisition step (1702), analysis rule holding step (1703), health condition information analysis acquisition step (1704), dialogue information storage step (1705)
  • Dialog information selection rule by user (1706) dialogue information selection step (1707), dialogue information output step (1708), response dialogue information acquisition step for acquiring user's response dialogue information to the outputted dialogue information And (1709).
  • Embodiment 6 Embodiment 6 Outline In addition to the configuration described in the fifth embodiment, the invention in the present embodiment determines from the user's response to the dialog information whether the dialog information provided from the interactive health promotion system is valid dialog information for the user. It has the function to judge.
  • Embodiment 6 Configuration of the Invention One example of the configuration of the interactive health promotion system of the sixth embodiment is, as shown in FIG. 18, a user identification information holding unit (1801), an SNS user related information acquiring unit (1802), an analysis rule holding unit (1803), health Situation information analysis acquisition unit (1804), dialogue information storage unit (1805), dialogue information selection rule holding unit for each user (1806), dialogue information selection unit (1807), dialogue information output unit (1808), response dialogue information acquisition unit (1809), effectiveness judgment rule holding unit (1810), dialogue information validity judgment unit (1811)
  • the description of the configuration common to the fifth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • the “validity determination rule holding unit” holds a validity determination rule that is a rule to determine whether the response dialogue information acquired for the outputted dialogue information is valid.
  • the effectiveness judgment rule determines that the output dialogue information is valid only when the user is performing a health promotion action that matches the proposed content, specified by the output dialogue information, and promotes health other than that. If the behavior is not taken or the action promoting health is taken, it is determined that the output is not effective.
  • the effectiveness judgment rule has a background purpose of how to improve or maintain the health condition based on the health condition information, and whether there has been positive behavior or thinking to achieve the background purpose, It is a rule to judge from the point of view. Therefore, words, pictures, videos, phrases, and lifelogs (including differences) that should be determined to have a positive effect or no effect, or an adverse effect depending on the background purpose are stored. It is configured to search the content of the response dialogue information (dialogue, picture, video, life log) based on the stored words and the like to determine the validity. Also, not only whether a word is included, but context analysis can be performed to determine whether the background purpose is positive or negative.
  • background purpose is a person who uses or designs this system based on his / her philosophy, but generally refers to information defining a state in which "the human health is”.
  • This definition may be the value or range of values of various physiological information, may be the frequency of occurrence of words that would be emitted by a healthy person, or may be the frequency of occurrence of words, if it is a healthy person. It may be the frequency of occurrence of braille.
  • the upper side of the blood pressure is set to 140 or less as the "blood pressure target value”.
  • BMI value 25 or less
  • Abdominal circumference make 85 centimeters or less for men, 90 centimeters or less for women, visceral fat 100 square centimeters
  • the body fat percentage is 20% or less for men, 28% or less for women, "eyesight” is between 0.7 and 2.0
  • ocular pressure is 10
  • Urine test value (+-) Ketone body (-) Urine protein Sugar (-) occult blood reaction (+-) urobilinogen (+-) urine specific gravity between 1.0101 and 1.025, ph between 4.8 and 7.5, urine recent (-)
  • the mental health situation is good, not only bad, but also relief, anxiety, appreciation, startle, excitement, curiosity, sexual curiosity, calmness, irritability (irritability), wonder (embarrassment), good luck, relaxation, tension, Honor, responsibility, respect, closeness (intimacy), ashamed (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, frustration, remorse, hate, shame, contempt, ashamedy, guilt, murderous intent, expectation
  • There may be a configuration that ranks and holds mental situations such as sense of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, hate, despair, hate, emptiness and the like.
  • the anxiety rank of the mental health status information is B rank or more which is one higher than the middle as a background purpose. It is.
  • These high-level concepts are the high-level purpose of making the body a healthy body by improving the habits of daily life and maintaining it.
  • External information obtained in connection with the user is converted into information that can be evaluated from the point of view of the background purpose.
  • the background purpose and the stored response dialogue information analysis content are configured to be associated in a many-to-many relationship. For example, "well slept" is determined to be positive if it is a normal sleep time zone, and it is determined to be negative if it is an activity during working hours. In the case of analyzing a picture or a picture, a picture analysis program or a picture analysis program is used.
  • N-dimensional is the number of types of feature quantities of the picture or video, and as the number of dimensions is larger, more accurate estimation is possible. Therefore, the meaning of the picture or the picture can be acquired more accurately, and the judgment of the validity judgment rule thereafter becomes more accurate.
  • the validity judgment is performed in the order of obtaining meaning and evaluating the validity of the obtained meaning in relation to the background purpose.
  • the action of the user Since the approximate value of the content of the advice is 100%, it is the highest rating 5 in the five-step rating. If you follow the advice but do something different or if it contradicts the advice that is not included in the advice, the approximation between the user's action and the content of the advice will not be 100%, so 90% It is 80% from the above, and it is 4 which is high in the 5-grade evaluation but not the highest.
  • the approximate value of the user's action / thought and the content of the advice is 50 From 70% to 70%, in a five-point evaluation, the effect of a person who has a certain level of 3 can not be evaluated as exceptionally good. If the user does not follow the advice but does not think of any action that contradicts the special advice (ie, there is no response to the advice or a situation in which the advice is being ignored), The approximate value is from 20% to 40%, and it is 2 that indicates that the expression is worthless in the 5-level evaluation.
  • multiple elements such as advice, questions, and guidance dialogues below may be included in one dialogue information.
  • a synergetic effect or an inhibition effect of the combination may occur. Therefore, a configuration may be considered in which the degree of synergy effect and the rule for calculating the degree of inhibition are also included as the contents of the effectiveness judgment rule.
  • the effectiveness of the dialogue information can be determined also for the guidance dialogue which is not the advice itself but the dialogue used to increase the effectiveness of the advice.
  • a guided dialogue of the type that brings attention to the system that is the speaker a guided dialogue of the type that gives a sense of favor to the system
  • a guided dialogue of the type that brings interest to the system It has a kind of guided dialogue that causes some association based on the dialogue from the system, a kind of guided dialogue that gives some desire to the dialogue from the system, and a feeling that it tries to make some comparison on the dialogue from the system
  • Type of guided dialogue type of guided dialogue that makes you feel certain about the dialogue from the system, and type of guided dialogue that makes you feel to make any decision to the dialogue from the system, etc.
  • the system may not assign all of these types of guidance interaction attributes, and assigning one or more of these types enables effective statistical processing.
  • these types may be stored in the dialog information storage unit in association with the dialog identification information.
  • a configuration may also be considered in which the effectiveness is determined with respect to the timing of the output of the dialogue information and the timing between the dialogues.
  • the method of judging the effectiveness of the guidance dialogue information is also carried out by numerical evaluation similarly to the dialogue information including the advice.
  • the numerical value of the numerical evaluation can not be judged by the proximity of the user's action and the content of the advice because the action corresponding to the dialogue is not decided like the dialogue information including the advice. Elements that can be used for evaluation also become more complex. Since the action of the user including the advice is at the end of linking the dialogue information not including the advice, when the user follows the advice as a result, the flow of the dialogue leading there is effective for the user It can be evaluated.
  • this system is a system that also learns the combination of dialogue information, the flow of dialogue leading up to advice (guided dialogue), and selection, it is possible for the user's non-response and negative attitude Then, it is possible to determine the validity of the selected dialogue information and continue the selective output of the dialogue information effective for the user. For example, in the case where the dialogue information outputted by the user with respect to the dialogue outputted from the system is read but unresponsive, or when the unread time of the outputted dialogue information is long, However, if they do not respond at all, it is considered that the output of timing that is undesirable for the user, the output of undesirable tone, the output from an undesirable avatar, etc.
  • the effectiveness when done is high, it is possible to make an evaluation such as the flow of dialogue that is undesirable for the user, or the selection of dialogue style that is unfavorable for the user. . It is possible to obtain the statistical effectiveness of the dialogue for the negative reaction based on the effectiveness obtained from such negative reaction information of each user.
  • the effectiveness of the dialogue to negative reaction is different from general effectiveness, and the time zone in which the negative reaction is often seen, the timing between dialogues, the tone of dialogue, the avatar used for dialogue ( Attribute of the user, the nature of the user, environmental factors, etc., the effectiveness information for the non-general environment of the user when the dialog information is output in an environment different from the general environment. That is, they often do not respond to meal times, often do not respond to days when they are angry with their boss, often do not respond to days when they quarrel with friends, often do not respond to time to wake up, Etc can be obtained as the effectiveness.
  • the response dialogue information acquisition unit is configured to have negative dialogue information acquisition means.
  • the dialogue information validity judgment unit is configured to have a negative dialogue information validity judgment means. Further, as described above, when judging the effectiveness of the dialogue information, it is also possible to configure so as to judge the effectiveness for each environmental factor. Therefore, the effectiveness of the dialogue information is also obtained for each environmental factor.
  • the user's personality is diagnosed according to various questions for the user, the response information from the user, the utterance not including the question for the user, and the response information from the user for the response, and the character is used as a user attribute It is possible to hold it.
  • character diagnosis rules may be stored in the present system and the character may be diagnosed according to the dialogue information and the response information from the user. It is also possible to use a commonly used personality diagnostic test for this.
  • Questionnaire methods, projection methods and work inspection methods are available as personality diagnostic tests.
  • the questionnaire method is a test method in which the subject answers the question items and diagnoses the character by scoring the answer results.
  • This test includes five major factor personality tests, major five factor personality tests for children and students, YG personality test (Yatabe-Gilford personality test), MMPI (Minnesota multifaceted personality list), MPI (Mozley personality test), egogram and so on.
  • YG personality test Yatabe-Gilford personality test
  • MMPI Minnesota multifaceted personality list
  • MPI Mozley personality test
  • egogram egogram and so on.
  • As a projection method there is a test method that requires a subject to achieve some task using relatively vague stimuli.
  • Rorschach test TAT (subject theme test), Baum test (tree test), SCT (text completion method test), P-F study (picture frustration test), CPT (color pyramid test) and the like.
  • the work test method is a test method which causes a subject to perform a certain work and diagnoses a character from the result. For example, there are the Uchida-Klepelin mental test and the Bourdon extinction
  • ⁇ Type of personality> There are various types of character types. For example, in temperament typology, “Circulating temperament: alternating between sociable and quiet times, divisional temperament: non-sociable, both unnoticeable and unnoticeable, sticky temperament: censorship, doing As the classification such as “It's hard to work” or Jung's classification, "Extroverted temperament: Interest in things in the outside world. Environmental adaptation is quick.
  • Inward temperament that tends to be matched (flowed) with surrounding opinions Internal Focus on subjective factors in the world, thoughtful, strong tendency not to be influenced by surrounding opinions, thinking temperament: strong ability to catch things consistently with intelligence, emotion: strong tendency to catch things, like dislike , Intuition temperament: strong ability to perceive the potential behind things, sensory temperament: perceptual function due to physiological stimulation, or classification as “dirty,” classified as “heroic type, sensual type, meditation type” Do Classification as "Theoreist, business man, essay, power man, religious person, member of society” as Spranger's classification, or "Receptive, Exploitative, Storage, Marketly” as Erich ⁇ Fromm classification Classification as "productive” or as Karen Honai's classification as "dependent, offensive, separable”, or as classification of enneagram, "critician, helper, executor, artist, observation” , Faithful family, passionate people, challengers, mediators, or as classification of Noguchi's Haruki's body classification, "upper and lower
  • character classifications are held as user attributes, and the dialogue information and the response information are statistically analyzed for each of the character classifications, and there is any response information to any dialogue information (including the introduction dialogue), By analyzing whether the effectiveness of the dialogue information is judged, it is judged whether it is effective if the introductory dialogue is held (dialogue selection) even if there is a negative reaction to each attribute. it can. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, which makes the user persistent It is possible to enhance the system of dialogue method of attacking with that kind of hand.
  • Selection of dialogue information based on validity judgment rules according to the character of the user makes it possible to change the selection, the output mode and the output form of the dialogue information to be selected until the user's positive response is elicited. It is possible to output dialog information tenaciously to the user who makes a response and to lead an affirmative response. As a result, it is possible to make the positive response continue, and it is possible to make it possible for the user to naturally make a positive response.
  • the user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule.
  • the user attribute information held in the attribute information holding unit may be updated.
  • a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information.
  • a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained.
  • the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character. Furthermore, it is possible to analyze the place where the user checked in, the photograph in which the user himself or herself is reflected, or the like and diagnose the character.
  • Places to check in include commercial facilities (department stores, supermarkets, convenience stores, electronics stores, fast fashion, beauty salons, beauty salons), entertainment facilities, stadiums, restaurants, museums, parks, stations, ports, airports, national parks, You can analyze the character in public parks etc. For example, whether it is active, shopping enthusiasts, or something like that.
  • photographs it is possible to analyze characters based on whether there are many group photographs, many photographs of one person, many scenery photographs, and many photographs of food.
  • the character analysis rules can be designed according to the design policy. It is also possible to analyze the character of the user according to the character of the friend connected by SNS.
  • Embodiment 6 Dialogue Information Validity Judgment Unit
  • the “dialogue information validity determination unit” determines the validity of the dialogue information based on the output dialogue information, the response dialogue information acquired for the dialogue information, and the validity determination rule. The case where the user's response dialogue information with respect to the outputted dialogue information matches is the most effective, and the closer it is, the less effective is.
  • FIG. 19 is a diagram showing a hardware configuration of the sixth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the program which operates in common with the fifth embodiment has already been described, and hence the description thereof is omitted.
  • the “validity determination rule holding program” newly added in the present embodiment holds the validity determination rule.
  • the "dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the validity judgment rules.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule health status information
  • dialogue information dialogue information selection rule by user
  • selection Dialogue information response dialogue information
  • validity judgment rules validity judgment results
  • various setting information such as communication not shown, etc.
  • FIG. 20 is a diagram showing the flow of processing of the most basic configuration of the sixth embodiment.
  • user identification information holding step (2001) SNS user related information acquisition step (2002), analysis rule holding step (2003), health condition information analysis acquisition step (2004), dialogue information storage step (2005) Dialog information selection rule by user (2006), dialog information selection step (2007), dialog information output step (2008), response dialog information acquisition step (2009), validity judgment rules for holding validity judgment rules And holding step (2010), and a dialog information validity determination step (2011) for determining the validity of the dialog information from the response dialog information.
  • the invention in this embodiment has, in addition to the features of claim 6, a rule for statistically processing the effectiveness of the dialogue information of a plurality of users in the dialogue information validity judgment unit.
  • Embodiment 7 Configuration of the Invention One example of the configuration of the interactive health promotion system according to the seventh embodiment is, as shown in FIG. 21, a user identification information holding unit (2101), an SNS user related information acquisition unit (2102), an analysis rule holding unit (2103), health Situation information analysis acquisition unit (2104), dialogue information storage unit (2105), dialogue information selection rule holding unit for each user (2106), dialogue information selection unit (2107), dialogue information output unit (2108), response dialogue information acquisition unit (2109), validity judgment rule holding unit (2110), dialogue information validity judgment unit (2111), validity statistical processing rule holding means (2112), statistical dialogue information validity information acquiring means (2113) Clearly
  • the description of the configuration common to the sixth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • the “effectiveness statistical processing rule holding means” holds an effective statistical processing rule, which is a rule for statistically processing the effectiveness of interaction information of a plurality of users for each attribute common to at least a population.
  • the effectiveness of the dialog information for that particular user from the response dialog information generally returned in response to the dialog information output to a specific user as processing in the dialog information validity judgment section already described It is conceivable to judge individually. However, although the effectiveness of the dialogue information can be judged in relation to individual individuals, statistical effectiveness can also be judged for a group.
  • the population is, for example, a Japanese national
  • the method of acquiring user attributes is described in the first embodiment, the fourth embodiment, and the sixth embodiment.
  • this system it is premised that some attribute information of the user is held in association with the user identification information. Health status information can also be included in this.
  • the accuracy of the dialogue found from the response information to the dialogue information of the individual is further improved It becomes possible to narrow down (select) valid dialogue information.
  • Dialogue information Statistically processed validity information is acquired for each user attribute. Therefore, by updating the user-specific dialog information selection rule of the user identified by the user identification information having the user attribute, the system can be updated as needed so that the dialog information can be selected according to the user attribute. .
  • the weighting can be used to determine the order of high effectiveness. Since it is considered more effective to weight the judgment results of individuals individually, it is effective, for example, to weight information on dialogue information judged to be effective in individuals, and information on dialogue information judged to be effective by statistical processing. It can be considered to incorporate in the user-by-user dialogue information selection rule a weighting of about 7: 3, 6: 4.
  • the “effectiveness statistical processing rule” is a rule for acquiring statistical effectiveness of a certain dialogue information, and a rule for determining the sameness of dialogue information different for each user arranged in accordance with the user attribute. , Is composed of two. In this system, the format of the dialogue information to be output is converted according to the characteristics of the user, so the same "Please run” message is converted to "Let's run” or "Not run?" Or, it has been converted as "Please return to your home in 5 minutes.” If it is not determined that the output to each of these users with different expression methods has the same identity as "Please run”, aggregate the data group that is the population for performing statistical processing from each user's reaction I can not do it.
  • the conceptual or expressive width of this aggregation can be set based on the operation policy of the system.
  • This width may also be configured to be selectable hierarchically.
  • the highest level is the “intention” for the user of the system, and there is “action” that the user wants to cause to the lower level of the “intention”.
  • There are “speaking (dialogue)” and further, there are various expressions of subordination, polite expression, respected words, equal words, imperative forms in the standard word under it, and further there are various expressions according to dialect under that, further below it.
  • the statistical dialogue information validity judgment information can be configured to be able to judge statistical validity also for the guidance dialogue and the negative reaction of the user.
  • the “statistical dialogue information validity information acquiring means” statistically compares the effectiveness of the dialogue information to at least the population statistically based on the dialogue information of the plurality of users and the validity statistic processing rules held. Some acquire statistical dialogue information validity information judged for each common user attribute. This is because “one part is for each common user attribute” can rarely form a common population for all user attributes. However, depending on the system configuration, statistical processing may be performed on a population that is common to all user attributes. This is because the effectiveness of the dialogue information tends to be determined according to the user attribute, in particular, the character (characteristics) of the user, the gender, the age, and in some cases the residential region or the nationality.
  • the user is classified into each type shown in the "type of character” described above to statistically process the effectiveness of the dialogue information, or the degree of fitting to various characters shown in the "type of character” is quantified.
  • the effectiveness of the dialogue information can be statistically processed. By performing such statistical processing, it is determined what kind of dialogue information is effective for the user belonging to each character. Similar processing can be performed on “sex”, “age”, “residential area”, and “nationality”. Furthermore, statistical processing may be performed for any combination of "character”, “sex”, “age”, “residential area”, and “nationality” to grasp the tendency of the effectiveness of dialogue information.
  • the dialogue information is statistically processed by adding the attributes of the dialogue information (forced strength, tone strength, clearness of intention, timing when the strongest intention is uttered, etc.) to the dialogue information. It is also possible to determine what kind of attribute dialogue information has validity based on the attribute attached to the dialogue information.
  • the meaning of “per part of the user attribute common to the population” means the present embodiment (embodiments 17, 17, 25, 32, 36, and embodiments related thereto).
  • Statistical dialogue information validity information is a result of processing statistically, according to user attributes etc. effectiveness of dialogue (from low effectiveness to high effectiveness) and various dialogue information having each effectiveness It is information that expresses the number of types of as a function, and is generally normally distributed. In other words, the number of dialog information with the effectiveness "medium” is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high” and the effectiveness "low”. Is a data group distributed so as to decrease. By using this data, it can be known what kind of conversation information exerts what degree of effectiveness, and it can be used as a computer.
  • FIG. 22 is one example of statistical dialogue information validity information.
  • the effectiveness is positive as it goes to the right from the origin, and the effectiveness becomes negative as it goes to the left from the origin.
  • the vertical axis indicates the number of types of dialogue information, and the higher the position is from the origin, the larger the number of types.
  • the number of representations (number of types) of the dialogue information to the extent that the validity is recognized for a while is the highest. It will be the top.
  • FIG. 23 is a diagram showing a hardware configuration of the seventh embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the seventh embodiment shown in this figure the program which operates in common with the sixth embodiment has already been described, and hence the description thereof is omitted.
  • the “effectiveness statistical processing rule holding program” newly added in this embodiment holds the effective statistical processing rules.
  • the “statistical dialogue information validity information acquisition program” acquires statistical dialogue information validity information based on the validity statistical processing rules. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule health status information
  • dialogue information dialogue information selection rule by user, selection Dialogue information
  • response dialogue information validity judgment rules, validity judgment results
  • validity statistical processing rules statistical dialogue information validity information, various setting information such as communication not shown, etc.
  • FIG. 24 is a diagram showing a process flow of the most basic configuration of the seventh embodiment.
  • user identification information holding step (2401) SNS user related information acquisition step (2402), analysis rule holding step (2403), health condition information analysis acquisition step (2404), dialogue information accumulation step (2405) Dialog information selection rule by user (2406), dialogue information selection step (2407), dialogue information output step (2408), response dialogue information acquisition step (2409), validity judgment rule retention step (2410), dialogue Information validity judgment step (2411), validity statistics processing rule holding substep (2412) for holding rules for statistically processing validity of dialogue information of a plurality of users in a dialogue information validity judgment unit, a plurality of users Interaction information and the effectiveness statistics processing rules that are retained Zui, a statistically interactive information validity information acquiring substep for acquiring the statistical dialog information validity information determines the validity of statistical interactive information (2413), consisting of.
  • the invention in this embodiment has, in addition to the configuration of the sixth embodiment, a function of using AI to update a rule for selecting health promotion advice from the effectiveness of the outputted health promotion advice.
  • FIG. 25 is a conceptual view showing an outline of the function of the AI in the present embodiment.
  • the present interactive health promotion system holds user-specific dialogue information selection rules reflecting individual characteristics. The personal characteristics of each user reflected here are reflected in both the form of dialogue information such as verbal wording during conversation and the contents of dialogue information which is health promotion advice contents corresponding to health condition information. Become.
  • FIG. 25 is a diagram conceptually showing a process of selecting one piece of interaction information from among a plurality of pieces of interaction information, and changing the rule of selection in accordance with the user's response to the selection.
  • the dialogue information group is taken on the horizontal axis (2501) and the effectiveness of the dialogue information is taken on the vertical axis (2502)
  • the effectiveness of the dialogue information is expressed in a corrugated waveform (2503).
  • the most effective dialogue information is the highest peak (2504) of wave peaks.
  • the dialogue information around the peak of the mountain is synonymous dialogue information, and its effectiveness becomes gradually lower as it goes away from the apex.
  • the dialogue information selection rule first determines which dialogue information of the dialogue information group area (2505) is selected as rough dialogue information, and the most effective one of the selected dialogue information group areas is selected. select. By selecting and outputting the dialogue information, it is possible to acquire the validity of the selected dialogue information by acquiring the user's response dialogue information. As compared with other dialogue information stored in the dialogue information storage unit, the option whose validity has been confirmed from the response dialogue information has higher certainty of the validity of the selection. Therefore, the selection rule is updated so that the top of the mountain is at a higher position (2506). As compared with other dialogue information stored in the dialogue information storage unit, the option confirmed to be invalid from the response dialogue information is less certain in the validity of the selection.
  • the selection rule is updated so that the top of the mountain is at a lower position (2507) before the selection.
  • the dialog information is selected by combining already acquired rules having similar health status information (pseutically Form a pile of dialogue information and validity, and select dialogue information at the top).
  • a new rule corresponding to the response result to the output dialogue information is acquired (the pseudo dialogue information group and the validity group are corrected and reconstructed according to the actual reply dialogue information).
  • the effectiveness may be configured to be held separately for the effectiveness determined based on the health condition information, the effectiveness determined based on other response dialogue information, and the information based thereon. Further, the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue. Further, the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
  • Embodiment 8 Configuration of the Invention One example of the configuration of the interactive health promotion system according to the eighth embodiment is, as shown in FIG. 26, a user identification information holding unit (2601), an SNS user related information acquisition unit (2602), an analysis rule holding unit (2603), health Situation information analysis acquisition unit (2604), dialogue information storage unit (2605), dialogue information selection rule holding unit for each user (2606), dialogue information selection unit (2607), dialogue information output unit (2608), response dialogue information acquisition unit (2609)
  • the description of the configuration common to the sixth embodiment or the seventh embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • FIG. 27 is a conceptual diagram showing an outline of the operation of AI (Artificial Intelligence) that updates the selection rule in the eighth embodiment.
  • AI Artificial Intelligence
  • dialogue information such as wording in conversation, the contents of dialogue information corresponding to health status information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc.
  • the health status information D (2708) that has not been acquired so far is the difference between the specific content of the health status information B and the physical health, the difference between mental health and the difference between 1 and the sleeping time. But there is a match.
  • the physical health is the same as the specific content of the health condition information A, and the other is different.
  • the specific content of the health status information C is the same as the sleep time, and the mental health values are similar, and the rest are different. From the above information, rules 1, 2 and 3 can be mentioned as related rules, but on the basis of rule 2 with the most similarity to the information, "walk to the station ahead one turn for reversion and return Dialog information (2709) is selected and output.
  • response dialogue information acquisition unit acquires response dialogue information (2710) that "I found a bar with a good feeling and drank" in response to the outputted dialogue information, I am changing my mood, but I take a walk. Since the effectiveness is low in relation to prompting calorie consumption, two points (2711) are obtained as a result of the dialog information validity judgment. Based on the result of this dialog information validity judgment, when health status information D is obtained, a new rule is to select the dialog information "Let's go back to the station one step ahead for change of mind. (2712) is acquired, the update user classified dialogue information selection rule is acquired, and the user classified dialogue information selection rule holding unit is held and the user classified dialogue information selection rule is updated.
  • FIG. 28 is a diagram showing a hardware configuration of the eighth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the eighth embodiment shown in this figure the programs which operate in common with the sixth embodiment or the seventh embodiment have already been described, and hence the description thereof is omitted.
  • the "user-by-user dialog information selection rule update program" newly added in the present embodiment updates the user-by-user dialog information selection rule based on the validity determination result.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule health status information
  • dialogue information dialogue information selection rule by user
  • selection The dialog information, response dialog information, validity judgment rule, validity judgment result, update user dialog information selection rule, various setting information such as communication not shown, etc. are held in non-volatile memory and loaded to main memory. Is referred to and used when executing the program of
  • FIG. 29 is a diagram showing a process flow of the most basic configuration of the eighth embodiment.
  • user identification information holding step (2901) SNS user related information acquisition step (2902), analysis rule holding step (2903), health condition information analysis acquisition step (2904), dialogue information storage step (2905) Dialog information selection rule by user (2906), dialogue information selection step (2907), dialogue information output step (2908), response dialogue information acquisition step (2909), validity judgment rule retention step (2910), dialogue The information validity judgment step (2911), and the user-specific dialogue information selection rule updating program (2912) for updating the user-specific dialogue information selection rule based on the acquired dialogue information validity judgment result.
  • the invention according to the present embodiment in addition to the feature described in the seventh embodiment, updates the dialog information selection rule by user based on the acquired statistical dialog information validity information, thereby a dialog according to the individuality of the user It is possible to select information.
  • the description of the configuration common to the seventh embodiment or the eighth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • Statistical user-specific dialogue information selection rule updating unit updates the user-specific dialogue information selection rule held in the user-specific dialogue information selection rule holding unit based on the acquired statistical dialogue information validity information.
  • Statistical dialogue information validity information is used to select dialogue information to be output to the user. Therefore, the statistical interaction information validity information is information to be reflected when the user-specific interaction information selection rule is updated.
  • the user-by-user dialogue information selection rule is updated by statistical dialogue information validity information or / and validity judgment results.
  • the effectiveness of the dialogue information independently acquired for each user and how to reflect the effectiveness of the dialogue information acquired by the statistical processing in the dialogue information selection rule depends on the design concept of the system.
  • the effectiveness is acquired based on the learning effect information, learning history information, and response dialogue information specific to the user
  • the reliability of the effectiveness for example, the P value or the significance level (statistical term) is compared to the reliability. It is conceivable to design the weighting to be reflected according to the size of.
  • the user-specific dialogue information selection rule is statistically updated, the same design can be made throughout the present specification.
  • FIG. 31 is a diagram showing the hardware configuration of the ninth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the ninth embodiment shown in this figure the programs which operate in common with the seventh embodiment or the eighth embodiment have already been described, and hence the description thereof is omitted.
  • the “statistical user-specific dialogue information selection rule update program newly added in this embodiment” updates the user-specific dialogue information selection rule based on the statistical dialogue information validity information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule health status information
  • dialogue information dialogue information selection rule by user
  • selection Dialogue information response dialogue information
  • validity judgment rules validity judgment results
  • validity statistical processing rules statistical dialogue information validity information
  • update user-specific dialogue information selection rules various settings information such as communication not shown It is held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • FIG. 32 is a diagram showing the flow of processing of the most basic configuration of the ninth embodiment.
  • Dialog information selection rule by user (3206), dialogue information selection step (3207), dialogue information output step (3208), response dialogue information acquisition step (3209), validity judgment rule retention step (3210), dialogue Information validity judgment step (3211), validity statistical processing rule holding substep (3212), statistical dialogue information validity information acquisition substep (3213), dialogue by user based on the acquired statistical dialogue information validity information
  • the invention in the present embodiment is an invention in which the first embodiment is described in a method manner, and basically, the category of the invention of the first embodiment is expressed as an operation method of a computer.
  • FIG. 33 is a diagram showing the most basic configuration of the operation method of the interactive health promotion system of the tenth embodiment.
  • SNS user related information acquisition step (3301) for acquiring SNS user related information as external information
  • health condition information analysis acquisition step (3302) for acquiring health condition information based on analysis of analysis rules
  • the dialog information selection step (3303) for selecting the dialog information based on the acquired health condition information and the user-specific dialog information selection rule
  • the dialog information output step (3304) for outputting the selected dialog information.
  • Embodiment 11 ⁇ Embodiment 11 Outline>
  • the invention in this embodiment is an invention in which the first embodiment is described in a method, and basically, the category of the invention of the first embodiment is expressed as an operation program of a computer.
  • Embodiment 11 Configuration of the Invention The most basic configuration of the operation program of the interactive health promotion system according to the eleventh embodiment is the SNS user related information acquisition step (3301), the health condition information analysis acquisition step (as shown in FIG. 33) as in the tenth embodiment. 3302), a dialogue information selection step (3303), and a dialogue information output step (3304).
  • the description is omitted because the configuration is common to the embodiment.
  • Embodiment 12 ⁇ Summary of the twelfth embodiment>
  • the present embodiment to the twenty-first embodiment are descriptions of the interactive learning promotion system.
  • the interactive learning promotion system according to the present embodiment is related to learning of the user's learning history, learning effect, etc. acquired by the learning system in addition to external information such as the user's speech information and browsing information in SNS. Also by acquiring information and using it for analysis, it is possible to acquire the user's learning situation (including the user's introverted elements such as learning motivation, learning posture, spontaneity, continuity without simply focusing on the score).
  • the user's learning is promoted by selecting the dialogue information according to the user's current learning situation.
  • FIG. 34 is an image conceptual diagram showing the relationship between an interactive learning promotion system, various SNSs, and a learning system.
  • a user who is communicating on SNS1 (3402a) and SNS2 (3402b) on a daily basis designates SNS2 as SNS using this interactive learning promotion system (3403)
  • the interactive learning promotion system outputs dialogue information through the SNS 2 (3404).
  • the present interactive learning promotion system is installed outside the present interactive learning promotion system in addition to the SNS user related information (3405a) obtainable through the SNS 1 and / or the SNS user related information (3405 b) obtainable through the SNS 2
  • Learning history information, learning effect information, etc. (3408) are acquired from a learning system (3407) or the like used by a certain user.
  • Type 1 is that learning history information etc. is separated from learning materials and held in the learning system server and output to the interactive learning promotion system
  • type 2 is learning history information etc. along with learning materials
  • the learning materials are provided to the user via the Internet etc., the answers are sent back to the learning system server via the Internet etc., and the results scored by the grader are inputted to the learning system server via the Internet.
  • the learning history information is of a type that is output to this interactive learning promotion system
  • Type 3 is basically the same as Type 2 but is that the learning system server itself scores the reply sent back.
  • Type 2 is often applied to the problem of discourse
  • type 3 is often applied to the problem of choice.
  • Type 3 includes foreign languages, arithmetic, science (science: chemistry, physics, biology, geology, astronomy), history, geography, ethics, society, politics, economy, etc., as well as art, music, home economics, health and physical education, etc. Can also be included.
  • the learning system server is provided with an input / output interface, and learning history information and learning effect information are input from a questioner or / and a grader. This input may be performed in association with the user identification information, and further, the scorer identification information or the like may be input and output in association with the learning history information and the learning effect information. It is mainly used for the type of learning that is essential for learning.
  • the type 2 learning system server has common functions with the type 1 learning system server. That is, although learning history information and learning effect information are held, learning teaching materials, answers which are learning results of the user, etc. are also held.
  • the learning history information is generated automatically or semi-automatically based on the transmission history of the learning material to the user and the reception history of the answer from the user.
  • the type 3 learning system server has common functions with the type 1 and 2 learning system servers. That is, learning history information and learning effect information, learning materials, answers that are learning results of the user, and the like are also held. It also has a scoring function for other received responses. Scoring can be performed automatically with regard to alternative questions, and as for the discussion problems, scoring results of the graders may be obtained or may be configured to be scored by artificial intelligence.
  • FIG. 35 is an image conceptual diagram when giving a learning promotion advice to a user who has an interactive learning promotion system.
  • the interactive learning promotion system (3501) is conversation information ("Today is still sleepy” "Good morning") that the user (3502) registered in the interactive learning promotion system sends out using SNS etc. on a daily basis “Recently late to night,” “It is an intermediate test soon,” “I hate math. I hate the current country,” “I want to see that drama today,” etc., and information about the third party's readings User-specific SNS user related information (3503) such as (open campus information is being browsed) is automatically acquired (3504). Furthermore, at least learning history information and learning effect information are acquired from the learning system (3505).
  • Learning situation information is acquired by comprehensively analyzing (3506) the acquired SNS user related information, learning history information, and learning effect information.
  • This interactive learning promotion system is based on the acquired learning situation information, for background purposes (for example, “I like disliked math.”, “Improving my willingness to study”, “Study a part of the time to play a game”, etc. And select appropriate dialogue information to achieve the purpose. For example, if you want the user to study for the test, the appropriate dialogue information for achieving the purpose, "Good morning !! If not hurry you will be late (; ⁇ ;) Lack of sleep? I slept in class (u_u) ..
  • the interactive learning promotion system in addition to information (learning history information and learning effect information, etc.) related to the learning of the user possessed by the learning system, external information such as an utterance in SNS is used. There is.
  • the information related to the acquired learning and the external information are analyzed as data, and mere numerical ability information is not acquired, but the psychological state such as "motivation" of the user from the information In some cases, we analyze and acquire "current learning situation information" in consideration of learning motivation.
  • the content of the optimal ad ice content is selected from the "current learning status information" obtained by analysis, and the optimal tone is matched to the persuasive tone that the user usually feels familiarity Outputs the selected advice content.
  • FIG. 36 is a diagram showing an example of the configuration of the interactive learning promotion system of the twelfth embodiment.
  • the interactive learning promotion system of the twelfth embodiment includes a first learning user identification information holding unit (3601), a first learning SNS user related information acquisition unit (3602), a first learning history information acquisition unit ( 3603), first learning effect information acquisition unit (3604), first learning analysis rule holding unit (3605), first learning status information analysis acquisition unit (3606), first learning dialogue information storage unit (3607), first The learning user classified dialogue information selection rule holding unit (3608), the first learning dialogue information selecting unit (3609), and the first learning dialogue information output unit (3610).
  • Embodiment 12 First Learning User Identification Information Holding Unit
  • the “first learning user identification information holding unit” holds user identification information identifying a user who uses the SNS and the learning system.
  • the user identification information held is the user identification information in the interactive learning promotion system of the user using the interactive learning promotion system. It is common to hold the name, address, phone number, e-mail address, user-specified ID, date of birth, occupation, age, gender etc. in relation to the user identification information, and it is related to health Information (eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.) Such information may be held.
  • health Information eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.
  • this interactive learning promotion system in addition to or in place of the physical information of the user, information related to learning of the user, etc. (graduation school information, school information, school information, affiliation laboratory information, Includes one or more of areas of expertise, examination results, native language, second foreign language, family academic background, travel history, study abroad history, purchase reference book history, average sleep time, average self-study time, learning habits history, etc.) can do. Furthermore, it is configured to include information for specifying a learning system used by the user, an ID used by the user in the learning system, and the like.
  • a life log indicating the physical condition of the user heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like. These are acquired from a wearable terminal that can be worn on the body and capable of measuring the condition of the body, a physical data measurement device that is not worn on the body but has a communication function, and the like.
  • the portable memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • the portable memory can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
  • the user attribute information held in association with the user identification information is configured to be registered by the user at the start of use of the interactive learning promotion system. This registration can be configured to make this interactive learning promotion system available.
  • the user attribute information can be configured to be transferred or acquired from another system already used by the user.
  • first learning SNS user related information acquisition unit acquires, as external information, SNS user related information which is user related information including the utterance of the SNS used by the user in association with the user identification information.
  • SNS user related information and “SNS” have already been described in the first embodiment regarding the interactive health promotion system.
  • "Acquisition" may be acquired by applying a filter. For example, a keyword holding unit that holds a keyword related to learning may be provided in this unit, and only conversations including the keyword may be acquired. Further, the range of acquisition may be not only the utterances made directly by the user, but also the utterances made between the related parties of the user.
  • Embodiment 12 First Learning History Information Acquisition Unit
  • the “first learning history information acquisition unit” is a learning history that is information indicating a learning history performed by the learning system from the learning system used by the user in association with the user identification information and / or independently of the learning system Get information.
  • “learning” generally refers to a sustained change in behavior through experience, or a change in behavior / thinking / knowledge / behavioral ability, an increase in problems that can be solved, or the time taken for solution Is an action that makes it possible to shorten, to increase the ease of acquiring knowledge, and to take new action. Learning using various learning systems linked to schools, schools, and interactive learning promotion systems is supported by teachers, various learning systems, and interactive learning promotion systems based on widely specified educational objectives and objectives. And the learner takes the lead.
  • Those who give learning may include not only various systems linked with the interactive learning promotion system, but also those by actual teachers (including seminar instructors who perform lectures, including lecturers, tutors, etc.) .
  • athletic ability variable sports
  • playing ability creative ability
  • creative ability clothing, cooking, flower arrangement, tea ceremony, architecture, sculpture, painting, calligraphy, etc.
  • competition ability go, shogi, chess, mahjong, video games. It also includes learning for the purpose of acquiring and maintaining card competitions, tag cards, one-hundred-one-piece, Othello, board games), communication skills (presentations, discussions, etc.), etc.
  • learning may mainly refer to the acquisition of knowledge and the maintenance of continuous knowledge. Learning is to read, view, and optionally use logical formulas consisting of sentences, diagrams, pictures, videos, formulas, chemical formulas, equations and logical symbols to give knowledge, and acquire and maintain that knowledge Say what to do. Among them are challenging to solve the problem, understanding the error of the challenged problem, and understanding the correct answer of the challenged problem.
  • Training history information is a history of learning activities.
  • the history of learning activities includes, for example, types of teaching materials to be read or viewed (textbooks, reference books, examples, videos, pictures, voices, reference URLs on a network, etc.), the distribution date and time of the teaching materials, and the learning instruction range of the teaching materials And whether or not to study the study instruction range, study time, study time, study activities (page turning activity, screen scroll activity, video viewing activity, printout activity of teaching materials, drill practice activity, break activity during study time, eg SNS Such as viewing and listening, leaving, singing, useless talk, etc.
  • At least information to be acquired as the learning history is information indicating the time at which learning is being performed (for example, start date and time and end date and time). Because, this interactive learning promotion system which acquired learning history information from the learning system needs to judge the validity of the dialogue information outputted by itself as described later, and in the judgment of the validity, the dialogue information is outputted. It is necessary to at least analyze how much time has passed since learning.
  • the learning system may obtain such learning history information by having the user (student) manually input it, or transmit the teaching material and network information such as browsing / question / answer of the teaching material by the user's terminal. May be acquired from an external learning system to generate learning history information.
  • the browsing by the user terminal can also be obtained by acquiring a page view of the teaching material, using information of page turning, and acquiring reproduction information of a video.
  • page turning information of each user is held at the same time It is configured to compare with certain page turning information (using an average value and a standard deviation, etc.), for example, to record that normal learning has not been performed if it is out of the range of a predetermined variation, or If it is a natural learner, it is configured to record that normal learning was not performed if, for example, the question to be asked is not asked, the utterance from the user is not recorded in pronunciation learning of a foreign language such as English In this case, it is configured to record that the learning was not made normal, or it is detected that the answer of the question has been searched by the net search on the user's terminal, and the learning for the question is performed. It is conceivable to or configured to record and was not successful.
  • Embodiment 12 First Learning Effect Information Acquisition Unit
  • the “first learning effect information acquisition unit” acquires learning effect information that is information indicating the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information.
  • Learning effect information is information on the result of learning performed by the user through an external learning system. Specifically, the learning effect information is acquired in association with a learning history (at least a learning unit, sometimes a learning unit and date or time, or a learning unit and date and time, and a learning time length) specified by the learning history information.
  • Learning unit refers to a group of contents to be learned. For example, when communication of learning materials is performed between the server and the terminal of the user, it may be a group of learning contents continuously transmitted from the server.
  • this time may be a thing divided into a plurality of non-consecutive blocks of time
  • learning curriculum learning plan
  • basic trigonometric values trigonometric values, triangle side length / peak height, trigonometric relationship (1), trigonometric relationship (2), triangles Reciprocity of Ratio (3), Triangular Ratio of Obtuse Angle (90 ° to 180 °), Trigonometric Equation, Trigonometric Inequality, Sine Theorem, Cosine Theorem, sin ⁇ + cos ⁇ ⁇ sin ⁇ cos ⁇ (8), Trigonometric Equation (Second Order), Triangular Inequality (Second order), positive angle / negative angle, general angle representing radius, definition of trigonometric function (second quadrant), (third quadrant), (fourth quadrant), unit of arc degree method: radian, triangle Function value (frequently used angle),
  • the learning history information is information indicating the learning history in the unit of learning, and the learning effect is that the test result is “half-width formula:“ half-width formula: August 20, 17: 43 start, 1 hour ”.
  • Exercise question 3 August 21 "87 points out of 100 points" etc. correspond.
  • the test is different from the learning date, but may be configured to perform the test within the learning time.
  • “learning effect” is information indicating the understanding degree, learning degree, improvement degree, etc. of the learning unit indicated by the learning history, and the score of the test, the population (the same grade, the same class, the same gender, the same wishing school) , The same school, the same prefectures, the same SNS group, by science and engineering, by medical students, by returnees, by the same figure range, by the same rating (stage, grade etc.), by the same school, from the same region, from the same personal attribute, The same family structure, the same number of consecutive years of learning, the same job title (sport assignment, company title, etc.) The same applies to each subject, each theme, each problem, each study unit's exam in the same.
  • Deviation value of points, correctness (may be comparison in a population) of each test problem may be element unit constituting a learning unit), number of problems answered (even in the case of comparison in a population) Yes), not answer Number of questions (sometimes comparison in the population), ratio of the number of questions answered to the number of questions presented (sometimes comparison in the population), type of questions answered (population) In some cases), the type of questions not answered (sometimes in a population comparison), the time taken to answer the questions (eg, the question answer time associated with each question) Evaluation based on which position the normal distribution belongs (may be comparison in the population), intermediate procedures included in the answer or / and leading to the answer (halfway formula, midway chemical formula, midway logic Expansion, thinking times, rewriting etc), questions asked, impressions on learning, memorization accuracy (sometimes compare in a population), content of wrong answers (sometimes compare in a population), mistake Location that caused the answer (may be comparison in the population), same Frequency of repeated incorrect answers to a problem (sometimes compare in the population), change in time taken
  • the learning effect includes, for example, the above-described various elements (problem answering time, learning time, learning unit test score, number of thoughts, number of incorrect answers, number of repeated correct answers, repeated incorrect answers) Elements to be considered for the learning unit in N-dimensional space coordinates, with each of number, sound order in the population, deviation value in the population, evaluation of lecturer etc., accuracy of the creation, etc. as one dimension Indicates the coordinate position of the comparison, and compare the distance from the origin of each of the coordinates of the compared learning effects, and the distance from the origin is greater (or closer depending on the way of setting the coordinates).
  • various elements problem answering time, learning time, learning unit test score, number of thoughts, number of incorrect answers, number of repeated correct answers, repeated incorrect answers
  • Elements to be considered for the learning unit in N-dimensional space coordinates with each of number, sound order in the population, deviation value in the population, evaluation of lecturer etc., accuracy of the creation, etc. as one dimension Indicates the coordinate position of the comparison, and compare the distance from the origin of each
  • a method may be considered in which the magnitude of the numerical value indicated by the coordinates is compared starting from one of the coordinates of the learning effect to be compared, or the volume of the space in which the coordinates of the learning effect to be compared are constituted by the origin and each dimension axis.
  • a rule may be considered in which (areas in the case of two dimensions) are compared.
  • the problem response time and the learning time be reduced, and that the test score for the learning unit be increased, and the number of thinkings (number of logic developments: for example, the number of stages of dialectical thinking steps: this is a statement
  • the number of incorrect answers be reduced, which is preferable because it is not preferable because the thought can not be explained if the number of times is less than a certain number
  • Design is made such that cases (for example, calculation plus in each dimension) and cases not preferable (for example, calculation minus in each dimension) are unified in each dimension. Therefore, the validity of an element is constructed such that values of each dimension are obtained by substituting the measured values into a unique function so that the obtained measured values can be properly distributed in the N-dimensional space.
  • Embodiment 12 First Learning Analysis Rule Holding Unit
  • the “first learning analysis rule holding unit” is for acquiring the learning situation information by analyzing the external information, the learning history information, and the learning effect information in association with the user identification information from the viewpoint of grasping the learning situation.
  • Hold learning analysis rules that are rules. Since the learning analysis rules are associated with the user identification information, they become learning analysis rules that match the characteristics of the user.
  • the ultimate purpose of this interactive learning promotion system is to realize the continuation of spontaneous learning. In order to realize the continuation of spontaneous learning, it is necessary to wear learning habits, to improve the learning motivation to wear this habit, and to maintain the worn habits. It will be necessary to create rhythmicity and patience to maintain the motivation for learning.
  • This interactive learning promotion system is a dialogue system for realizing improvement and maintenance of the learning motivation necessary for habituation and habit maintenance. Therefore, the learning analysis rule is a rule for each user for performing analysis and acquisition of learning situation information for each user, which is necessary to select dialogue information for improving and maintaining learning desire.
  • Training situation information is associated with user identification information and (1) the degree of habitation of spontaneous learning of the user, (2) quality of spontaneous learning, (3) spontaneous learning (4) How much self-judged the progress of their own learning by themselves, (5) How the parties surrounding themselves progressed their own progress of learning (6) to evaluate the user's learning situation quantitatively or qualitatively from the viewpoint of one's or more degree of willingness to learn, etc. It depends on the design intention of the system whether it distributes to what kind of result qualitatively produces. It may be quantitative, qualitative or both. As a design policy, if it is quantitative, the larger the numerical value is, the more positive it is for learning, and the smaller the numerical value, the more negative it is for learning.
  • the learning status information may be acquired in a learning unit (for example, a unit determined by a curriculum prepared by a learning system or a unit determined by a course of study published by the Ministry of Education, Culture, Sports, Science and Technology). It may be acquired for a mass of a plurality of learning units, or may be acquired for a learning subject or even a higher rank. Therefore, the learning situation information can be configured to be acquired in association with learning unit identification information for identifying a learning unit, learning subject identification information, and the like. Further, the learning situation information may be configured to be acquired in association with the dialogue information related to the arrival of such learning situation information. Therefore, the learning situation information may be configured to be acquired in association with the dialogue information identification information identifying the dialogue information and the like. Furthermore, when the dialogue information that has influenced the learning situation information can not be clearly separated from a large number of dialogue information, the degree of influence may be given to the dialogue information identification information based on the temporal distance.
  • a learning unit for example, a unit determined by a curriculum prepared by a learning system
  • the habitation is the rhythm of learning (specifically, the date and time of learning), the duration of learning, external information (user's SNS statement, interactive SNS statement of interactive learning promotion system, etc. Comments of users, various information that can be acquired from SNS (for example, information such as lessons at school, tests, simulation tests outside school, information on population of simulation tests: various preparatory schools, various learning schools, etc. on SNS (Information sent to) can be evaluated periodically and it can be evaluated by how its variation fluctuates. Human life has a periodic rhythm to some extent. For example, it is already known to have a biorhythm.
  • the evaluation cycle may be different for each user.
  • the evaluation period may be calculated and used from the learning history of the user without using a given period.
  • the rhythm of learning may be measured by category of the content to be learned. For example, in the case of general junior high school students and high school students, it is common for the rhythm of learning to be different for each subject because there are subjects that are frequently studied at school and those that are not.
  • the frequency of learning is high with an external learning system linked with an interactive learning promotion system, or a non-linked system (eg not linked in a school, acupuncture, practice ground, classroom etc), or Many curricula are subject to a relatively high frequency of learning to determine whether learning habits have been reached, and conversely, those having a relatively low frequency are determined on the basis of learning habits. It is also possible to evaluate in relation to how often the interactive learning system encourages learning in order to learn, or whether it has led to do so. That is, it is also possible to measure the habituation of learning by the ratio of the number of utterances for guidance or guidance to the number of times of actual learning.
  • the learning effect information can generally be measured by the improvement of the ability to learn.
  • the former is calculated using learning history information
  • the latter is calculated using learning effect information
  • the ratio of both values calculated by learning effect information / value calculated by learning history information
  • An assessment of quality can be made.
  • the quality of evaluation of spontaneous learning is determined by comparing the value of the past ratio and the value of the current ratio on a per-user basis, and determining that the quality of spontaneous learning is improved when the value is larger be able to. Further, the value of the current specific user ratio within a specific population may be calculated as a deviation value instead of the user unit to evaluate the quality of spontaneous learning within the population.
  • “(4) Evaluation of how self-judgement of self-study progress is self-judged” can be judged mainly by analyzing the user's speech on SNS.
  • the user's utterance may be a spontaneous utterance or may be an utterance of an answer corresponding to the utterance selected and emitted by the interactive learning promotion system. It is difficult to evaluate the learning situation information from the information on the outline only with high accuracy because it depends on the user's brain and the skill worn by the user. Therefore, the learning status information is calculated in consideration of the user's own awareness.
  • the analysis of the user's speech is performed by a database covering speech related to learning.
  • the remarks of the related parties of the user may be spontaneous remarks or may be remarks of the answers of the people corresponding to the remarks selected and emitted by the interactive learning promotion system (relationship The person concerned of the user responds to the speech by the interactive learning promotion system in the SNS group including the person). It is difficult to evaluate the learning situation information with high accuracy based on only the information on the external form. Therefore, the learning situation information of the user is calculated in consideration of the evaluation situation of the person concerned of the user.
  • the analysis of the utterances of the participants of the user is also performed by a database covering the utterances related to learning.
  • weighting may be performed according to the relationship between the user and the related party. For example, the weight of the user's parents' speech is reduced (in the case of parents, it is assumed that there is a speech without objectivity), and the speech of the user's friends (the premise is that friends are objectively and kindly) is the same speech Even if, it is possible to make weighting large.
  • the evaluation can be performed mainly by analyzing the user's speech on the SNS, learning history information, and learning effect information.
  • the analysis of the user's speech is performed by a database covering speech related to learning.
  • the remarks are collected into intentions related to typified multiple (many) learning intentions, and each intention is given an evaluation value in terms of how much the learning intention is, and the evaluation value is
  • An evaluation value of the degree of motivation for learning can be calculated using (positive and negative cases may be used).
  • the accurate grasp of the user's current learning intention may be configured to analyze relative to others. Furthermore, it is also effective to analyze the user's current willingness to learn based on relative comparison between past and present.
  • Embodiment 12 First Learning Situation Information Analysis Acquisition Unit
  • the “first learning status information analysis acquisition unit” includes the acquired external information associated with the user identification information, the learning history information, the learning effect information, and the learning analysis rule associated with the same user identification information. Acquire learning situation information based on it.
  • the acquired learning status information may be stored temporally in the first learning status information analysis acquiring unit in association with the user identification information and the output dialogue information, including the past one, It may be stored as part of user attribute information stored as associated information.
  • the degree of motivation for learning It can be configured to be acquired by comprehensively analyzing each of the above evaluations. From the elements of (1) to (6), a negative evaluation value may be obtained because it includes the viewpoint of comparative evaluation.
  • the learning status information may be acquired for each learning unit the user is learning, or may be in units of learning subjects. For example, upper conceptual categories of subjects (for example, science subjects, arts subjects, physical education, etc.) It is also possible to take a course subject, an artistic subject, etc. as a unit. The learning unit may be acquired entirely without specifying it.
  • Representative information includes each learning unit (including the learning unit itself, the learning environment related to the learning unit, the learning system related to the learning unit, and the like. The same applies in the following embodiments 12 to 19). It includes psychological information about the upper concept, the lower concept, and the combination.
  • Typology refers to one or more internal users, such as “interest,” “enjoyment,” “difficulty,” “necessity,” “satisfaction,” “feeling of crisis,” “feeling of crisis,” “motivation,” etc. for each learning unit.
  • the inner surface index which is the index, a value indicating the degree of the user is given, for example, a value from -5 to +5.
  • the inner index is selected based on the design concept of the interactive learning promotion system. For example, if the type item "interest” of a certain user is "minus 2" for "ninety nines of arithmetic", the user indicates that he / she is somewhat less interested at ninety nines of arithmetic.
  • peace of mind anxiety, gratitude, surprise, excitement, excitement, curiosity, calmness, irritability, wonder (embarrassment), good luck, relaxation, tension, honor, responsibility, respect, familiarity (intimacy) ), Jealousy (faithfulness), lust (motivation), fear, courage, pleasure, regret, satisfaction, dissatisfaction, remorse, hate, shame, guilt, expectation, superiority, inferiority, suffering, sadness, intimacy, Mental situations such as anger, licking, hopelessness, hate, emptiness, etc.
  • SNS user related information rated or scored and used for calculation of the inner indicators
  • the emotional indicators may be used separately from the inner indicators It is possible to hold it and use it to calculate learning status information, or to configure these emotion indicators directly in learning status information.
  • the learning situation information may be either one or both of numerical evaluation from the viewpoint of learning habituation and evaluation from the viewpoint of the user's internal posture for qualitative learning.
  • the learning situation information is to be evaluated quantitatively or qualitatively, and to which factor the weight of the numerical value is distributed and what result is qualitatively produced depends on the design intention of the system.
  • a configuration may be considered in which analysis values are acquired by summing up evaluation values of respective elements.
  • a configuration may be considered in which analysis values are acquired with different weightings for each element.
  • a configuration may be considered in which an analysis value is obtained by multiplying the evaluation value (ratio to completeness 100) of each element by assuming that the case of complete habit is 100 and in this case, the evaluation value of each element When acquired as a ratio to the degree of completion 100, the evaluation value of each element does not indicate negative.
  • learning of learning condition information (It does not matter whether this interactive learning promotion system and an operator, a computer, a server, and a case are the same. Moreover, it is the same from Embodiment 12 to Embodiment 19). It is also possible to be configured to be fed back to the learning system for creating and changing the curriculum of the system (whether singular or plural, and the same from the twelfth embodiment to the nineteenth embodiment). is there. Generally, the change of the learning curriculum is changed depending on the test results or the user's request, but it is considered that the learning efficiency of the user can be improved more based on the learning situation information.
  • the learning status information is made up of qualitative information such as learning habits and user's psychological aspect, and is deeper than general information as information regarding user's learning.
  • Curriculum is changed by changing learning units, creating new units, allocating time units of learning units, setting time intervals, adding new learning subjects, deleting learning subjects, changing learning methods (for example, focusing on letters, tables, drawings, pictures, videos, etc.) From mathematical formulas to tables, figures, pictures and videos, from lectures to home study, from books to books, etc.
  • Feedback can be designed so that an external learning system automatically accepts it, and the curriculum etc. is automatically changed according to the learning situation information. It may be configured such that an external learning system administrator performs change of the curriculum etc.
  • Embodiment 12 First Learning Dialogue Information Storage Unit
  • the “first learning dialogue information accumulation unit” accumulates dialogue information to be transmitted according to the learning status information acquired in association with the user identification information.
  • the dialogue information is stored in a database as any and every conversation that may be spoken in the general society.
  • the example sentence of the conversation which is the basis for giving the user advice on learning promotion or learning habits, is held particularly deeply.
  • Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, the foundation is built on the basis of language dictionary database, conversation dictionary database, etc. Furthermore, SNS, information provision site, corporate advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably). Furthermore, the dialogue information constituting the learning promotion advice etc.
  • the dialogue information may include a question, a question, and the like for the system to know the understanding level of the learning unit (including its upper concept and lower concept). This can improve the accuracy of the user's learning situation information.
  • the interactive learning promotion system is as concerned with the user as it is by reflecting on the individuality of each user and selecting and outputting the dialogue information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that dialogue information be stored so that not only the choice of the contents of the conversation, such as whether it will be lost, but also the type of conversation can be selected.
  • the dialogue information storage unit may store dialogue information as a dialogue having the same meaning depending on differences in formation of the dialogue.
  • dialogue information expressing the feeling of gratitude expressions such as "Thank you”, “Thank you”, “Thank you”, “Okini”, “Thank you”, “Thank you”, etc. are all accumulated as different dialogue information.
  • the dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the dialogue information output unit described later sets the basic dialogue information selected from the dialogue information storage unit to the individuality of the user. I can think of a way to convert it into an interactive form.
  • a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule.
  • “thank you.” “Thank you” “Thank you” “Okini” “Thank you” “Thank you” “Thank you” etc. are all expressions that express gratitude. Only "Thank you” will be saved.
  • the dialogue information accumulated in the first learning dialogue information accumulation unit may be configured to be able to be displayed on the interface monitor.
  • the dialogue information storage unit management means is a first learning dialogue information storage unit so that management actions such as addition, change and deletion of dialogue information can be manually performed on the interface screen on which the accumulated dialogue information is displayed. It can be considered that the communication information storage unit management unit is provided as a new configuration.
  • the management action of the first learning dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive learning promotion system of the present invention.
  • the dialogue information storage unit can be configured to hold dialogue information that should not be used as the dialogue information so that such dialogue information is not selected or accumulated so as to be selectable.
  • Dialogue information that should not be used is discriminatory terms and dialogue information related to social cases and difficult to handle. It can also be configured to be defined according to the user's attributes.
  • the 12th embodiment dialogue information selection rule holding unit for each first learning user>
  • the “first learning user category dialogue information selection rule holding unit” holds a user category dialogue information selection rule which is a rule associated with user identification information for selecting dialogue information accumulated based on the acquired learning situation information Do.
  • the user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is concerned about himself. It is a rule for selecting dialogue information so as to be a natural conversation. From the external information, SNS user-sent information etc.
  • General dialogues that are registered in advance are formally registered, such as polite language, spoken language, gal language, Osaka dialect, Kyoto dialect, Hakata dialect, Nagoya dialect, Hokkaido dialect, Hokkaido dialect, etc.
  • What can recognize the present interactive learning promotion system as if the user is closer and live is the method of assembling an interactive form that can more strongly reflect the user's individuality.
  • the amount of external information accumulated for analyzing the user's individuality is small.
  • a default format is automatically selected.
  • the user can select and register an interactive form and start it in the interactive form of the user's preference.
  • it may be configured to automatically select the appropriate interactive dialogue information according to the user's attribute.
  • the attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, performer, historical person, announcer, character), hobbies, taste, etc.
  • the dialogue information in a format corresponding to the user's individuality is selected from the first learning dialogue information storage unit
  • Configure per-user dialog information selection rules for This may be updated by artificial intelligence so that appropriate dialogue information is selected on the basis of external information on a daily basis.
  • the user In analyzing the format of the dialogue information from the conversation information of the user's SNS, the user is not merely confined by the user's speech format, but by analyzing the conversation format of friends and family whom the user frequently interacts with, the user It is conceivable to assemble another dialogue information selection rule. By analyzing and reflecting the way of speaking of the other party the user actually talks on a daily basis, it is possible to give a sense of security as if talking with a friend or family member.
  • the dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
  • the response may be a rule for selecting the response by the dialog information selection unit. Conceivable. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
  • Embodiment 12 First Learning Dialogue Information Selection Unit
  • the “first learning dialogue information selection unit” selects dialogue-type dialogue information conforming to the characteristics of each user based on the learning situation information and the held dialogue information selection rule for each user from the dialogue information storage unit Do.
  • the “first learning dialogue information selecting unit” selects the dialogue information from the first learning dialogue information storage unit based on the acquired learning situation information and the held user dialogue information selection rule. In the case where dialogue information is stored in the first learning dialogue information storage unit for each difference in the dialogue form, it is possible to select the dialogue information matching the dialogue form and the dialogue content selected in the user-by-user dialogue information selection rule Become.
  • the basic dialogue information may indicate not a word itself but a group of words.
  • identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”.
  • the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule Processing is performed to convert into an interactive form that conforms to.
  • the above work is the selection of dialogue information.
  • This selection is configured to be made instantaneously by the computer. Specifically, when the input from the user is accepted via the SNS, the user has a speed for displaying a reply on the screen without giving a margin for closing the screen of the SNS. As an example, the average is about 1 to 3 seconds or less. However, in the case of a flow of conversation information that may be a problem for ordinary people, the conversation information may be output with more time left.
  • Embodiment 12 First Learning Dialogue Information Output Unit
  • the “first learning dialogue information output unit” outputs the selected dialogue information to the user identified by the user identification information via the SNS.
  • the speed at which the dialogue information output unit outputs the dialogue information is the speed at which the user's input is promptly responded to if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard.
  • the output is a user's portable terminal, a fixed terminal such as a desktop personal computer, or the like.
  • the SNS to be output may be an application dedicated to the interactive learning promotion system, or an SNS service managed and provided by another system that is not exclusively for the interactive learning promotion system that the user routinely uses. It is also good.
  • the format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures.
  • SNS service that you use on a daily basis with real people, rather than using dedicated applications. It will be effective, as it will naturally display learning promotion advice and learning habits fixing advice from the interactive learning promotion system, naturally. Effective is that the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become.
  • the output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable.
  • the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
  • the guest user can immediately generate and hold user identification information using a telephone number etc., and make the interactive purchase promotion system that recognizes the person as a guest user and recognize the voice call.
  • the user terminal is defined as a guest user to distinguish it from the case where the interactive learning promotion system is activated, but at the time of the first voice call, the user is called an outgoing telephone number, voice, name, member
  • the guest user's attribute information preferences, how to talk, how to make sense, hobbies, etc.
  • the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
  • the output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible.
  • the name may be freely set at the time of initial user registration.
  • an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system.
  • the output of the dialogue information may be configured to output the dialogue information not only by a single character worn by the interactive learning promotion system but also by a plurality of characters.
  • one character may be a cheering player, and the other may be a comforter, so that characters can be divided to effectively affect the user.
  • the setting of the character can also be configured to be selected based on the acquired external information, learning history information, learning effect information, and the like.
  • An appropriate character can be selected according to the content (attribute) of the dialogue information to be output. Therefore, an attribute is added to the dialogue information and stored in the first learning dialogue information storage unit, and a character corresponding to the attribute information is selected in the first learning dialogue information output unit so as to compose an utterance on the SNS. It is good.
  • the selected dialogue information not only the dialogue between the user and the friends who are the plurality of characters that are the system, but also the dialogue between the friends who are the system (characters) may be performed.
  • the user can obtain learning promotion, motivation for establishing learning habits, and the like from dialogue information exchanged between friends and the like.
  • the speech of a friend or the like who is the system may be switched according to the position information. For example, when going out to Osaka, friends of Osaka Ben appear, and when going out to Kyushu, friends of Kyushu Ben appear.
  • a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time.
  • a situation a meeting timing situation
  • the classic test has left me for repair (; ⁇ ;), but we were fine this time, but the last minute? It may be possible to start a comparative conversation such as “It might be dangerous, ⁇ ” or an invited conversation such as “Oda and Tokugawa are going to study at Toyotomi's house.
  • a friend etc. do not necessarily need to be an avatar (character) person, and may set various things, such as a mammal, a fish, an insect, a thing, etc.
  • the present invention is not limited to a still image and may be displayed as a moving image.
  • the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc.
  • you may send information such as equipment, supplements, etc., to promote use.
  • friends who are the system experience the atmosphere, warmth and humanity using the avatar schedule described above, which set events according to the passage of time, such as going up the stairs of life, to be experienced as an accident. Good.
  • FIG. 37 is a diagram showing a hardware configuration of the twelfth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the "first learning user identification information holding program” holds user identification information.
  • the “first learning SNS user related information acquisition program” acquires SNS user related information. This is done via an interface program with the SNS.
  • the “first learning history information acquisition program” acquires learning history information of the user from an external learning system used by the user.
  • the “first learning effect information acquisition program” acquires learning effect information of the user from an external learning system used by the user.
  • the “first learning analysis rule holding program” holds learning analysis rules.
  • the “first learning situation information analysis acquisition program” acquires learning situation information from external information, learning history information, and learning effect information based on analysis based on learning analysis rules.
  • the “first learning dialogue information accumulation program” accumulates dialogue information.
  • the “first learning user-specific dialogue information selection rule holding program” holds dialogue information selection rules for each user.
  • the “first learning dialogue information selection program” selects appropriate dialogue information from among the dialogue information accumulated based on the acquired learning situation information and the held user dialogue information selection rule.
  • the "first learning dialogue information output program” outputs the selected dialogue information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information
  • learning analysis rules learning status information
  • dialogue information The user-by-user dialogue information selection rule, selected dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, referred to and used in executing a series of programs.
  • FIG. 38 is a diagram illustrating an example of a process flow of the twelfth embodiment.
  • the first learning user identification information holding step (3801) for holding user identification information the first learning SNS user related information acquisition step (3802) for acquiring the SNS related information of the user
  • the user uses The first learning history information acquisition step (3803) of acquiring learning history information of the user from the external learning system, and the first learning effect information acquiring step of acquiring learning effect information of the user from the external learning system used by the user (3804)
  • Embodiment 13 ⁇ Summary of the thirteenth embodiment>
  • the interactive learning promotion system according to the present embodiment is related to learning of the user's learning history, learning effect, and curriculum acquired by the learning system in addition to external information such as the user's speech information and browsing information in SNS.
  • user's learning situation information including the user's introverted elements such as learning motivation, learning posture, spontaneity and continuity without simply focusing on the score
  • the user's learning is promoted by giving advice (selection of dialogue information) according to the user's current learning situation.
  • FIG. 39 is a diagram showing an example of the configuration of the interactive learning promotion system of the thirteenth embodiment.
  • the interactive learning promotion system of the embodiment 13 includes a second learning user identification information holding unit (3901), a second learning SNS user related information acquiring unit (3902), and a second learning history information acquiring unit.
  • the “second learning user identification information holding unit” is the first learning user identification information described in the twelfth embodiment
  • the “second learning SNS user related information acquiring unit” is the first learning SNS user association described in the twelfth embodiment.
  • the information acquisition unit and the “second learning history information acquisition unit” are the first learning history information acquisition unit shown in the twelfth embodiment, and the “second learning effect information acquisition unit” is the first learning effect shown in the twelfth embodiment
  • the information acquisition unit, the “second learning analysis rule holding unit” is the first learning analysis rule holding unit described in the twelfth embodiment
  • the “second learning status information analysis acquiring unit” is the first learning described in the twelfth embodiment
  • the status information analysis acquisition unit and the “second learning dialog information storage unit” are the first learning dialog information storage unit shown in the twelfth embodiment, and the “second learning user's dialog information selection rule holding unit” is the twelfth embodiment.
  • the “second learning dialogue information selecting unit” is the first learning dialogue information selecting unit shown in the twelfth embodiment
  • the “second learning dialogue information output unit” is the first learning dialogue information output unit shown in the twelfth embodiment
  • the functions are similar to each other and have already been described.
  • Embodiment 13 Second Learning Curriculum Information Acquisition Unit
  • the “second learning curriculum information acquisition unit” acquires curriculum information performed in the learning system from the learning system used by the user in association with the user identification information.
  • “Curriculum” indicates a plan for learning instruction.
  • curriculum information in addition to the curriculum provided by the administrator of the learning system providing the learning system, the curriculum information of the school to which the user is attending school, the curriculum information of the learning habits attended by the user, etc. It can.
  • the curriculum information being acquired by the interactive learning promotion system, the contents of the learning promotion advice included in the dialogue information output by the interactive learning promotion system are reflected in the dialogue selected based on the curriculum information. Become.
  • the accuracy of the learning effect information and the learning situation information can be further enhanced by comparing the curriculum information with the learning effect information and the learning history information.
  • Curriculum information is preferably configured to be acquired in the form of a collection of learning units. By acquiring learning effect information and learning history information on a learning basis, comparative analysis becomes possible with a 1: 1 relationship.
  • FIG. 40 shows a hardware configuration of the thirteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the thirteenth embodiment as shown in this figure the description of the programs which operate in common with the program of the twelfth embodiment will be omitted.
  • the “second learning curriculum information acquisition program” newly added in this embodiment acquires curriculum information from an external learning system or the like used by the user.
  • the “second learning situation information analysis acquisition program” acquires learning situation information from external information, learning history information, learning effect information, and curriculum information based on analysis based on learning analysis rules. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • learning history information including SNS user related information
  • learning effect information curriculum information
  • learning analysis rules learning situation information
  • Dialog information, user-specific dialog information selection rules, selected dialog information, various setting information such as communication not shown, etc. are stored in non-volatile memory, loaded into main memory, referenced and used in executing a series of programs .
  • FIG. 41 is a diagram illustrating an example of a process flow of the thirteenth embodiment.
  • the description of steps having the same function as in the twelfth embodiment has been omitted, and only the characteristic steps of the present embodiment have been described.
  • the interactive learning promotion system of the embodiment 14 is an independent claim, but in addition to the feature of the embodiment 13, the external information includes the speech of an external learning system participant (a speech generated by a computer is included) It is characterized by including.
  • FIG. 42 is a diagram showing an example of the configuration of the interactive learning promotion system of the fourteenth embodiment.
  • the interactive learning promoting system of the fourteenth embodiment includes a third learning user identification information holding unit (4201), a third learning SNS user related information acquiring unit (4202), and a third learning history information acquiring unit. (4203), third learning effect information acquisition unit (4204), third learning curriculum information acquisition unit (4205), third learning analysis rule holding unit (4206), third learning status information analysis acquisition unit (4207), The third learning dialogue information storage unit (4208), the third learning user classified dialogue information selection rule holding unit (4209), the third learning dialogue information selecting unit (4210), and the third learning dialogue information output unit (4211) .
  • the “third learning user identification information holding unit” is the first learning user identification information shown in the twelfth embodiment, and the “third learning history information acquisition unit” is the first learning history information acquisition unit shown in the twelfth embodiment
  • the “third learning effect information acquiring unit” is the first learning effect information acquiring unit shown in the twelfth embodiment
  • the “third learning curriculum information acquiring unit” is the second learning curriculum information acquiring unit shown in the thirteenth embodiment
  • the “third learning analysis rule holding unit” is the first learning analysis rule holding unit described in the twelfth embodiment
  • the “third learning status information analysis acquiring unit” is the first learning condition information analysis acquiring unit described in the twelfth embodiment
  • the third learning dialogue information storage unit is the first learning dialogue information storage unit described in the twelfth embodiment
  • the third learning user classified dialogue information selection rule holding unit is the first learning user illustrated in
  • the learning dialogue information selecting unit is the first learning dialogue information selecting unit shown in the twelfth embodiment
  • the “third learning dialogue information output unit” is the first learning dialogue information output unit shown in the twelfth embodiment, and functions thereof It is similar and has already been described. Note that the "third learning curriculum information acquisition unit" is not necessarily essential.
  • the “third learning SNS user related information acquisition unit” is user related information including the speech of the user of the SNS used by the user in association with the user identification information and the speech of the person involved in the learning system (including the speech generated by the computer)
  • the operation of the third learning SNS user related information acquisition unit is basically the same as the first learning SNS user related information acquisition unit shown in the twelfth embodiment, and has already been described.
  • the speech (including the speech generated by the computer) of the learning system participant is acquired as SNS user related information.
  • “Speaking of a person involved in the learning system” is advice given to a user by a lecturer, an adviser, a grader, an examiner, etc. through an external learning system or SNS, or a system (computer) of a lecturer role or a lecturer It is a statement. These advices and remarks may be made on the Internet exchanged within an external learning system, may be made by telephone, by voice that is actually made face to face, or may be made by paper. Good (OCR acquisition). Although there is no limitation on which form it is, it is necessary that data processed so that it can be taken into the interactive learning promotion system be stored in the learning system. An utterance of an external learning system participant may be an utterance returned in response to an utterance from the interactive learning promotion system.
  • the lecturer or the like is a group member of the SNS including the user, or an interface capable of interacting between an external learning system and the system of the present embodiment is provided. preferable.
  • FIG. 43 is a diagram showing a hardware configuration of the fourteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the thirteenth embodiment as shown in this figure the description of the programs which operate in common with the program of the twelfth embodiment or the thirteenth embodiment will be omitted.
  • the “third learning SNS user related information acquisition program” newly added in the present embodiment acquires the speech of the learning system related person in addition to the speech of the SNS user as the SNS user related information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information (including a speech of a person involved in the learning system)
  • learning history information learning effect information
  • Curriculum information learning analysis rules, learning status information
  • dialogue information dialogue information selection rules for each user, selected dialogue information, various setting information such as communication not shown, etc.
  • Is referred to and used when executing the program of The third curriculum information acquisition program is not essential.
  • FIG. 44 is a diagram illustrating an example of a process flow of the fourteenth embodiment.
  • the third learning user identification information holding step (4401) the speech of the user of the SNS used by the user in association with the user identification information, the speech of the person concerned with the learning system (including the speech generated by the computer Third SNS user related information acquisition step (4402) for acquiring SNS user related information that is user related information including) as external information, third learning history information acquisition step (4403), third learning effect information acquisition step ( 4404), the third curriculum information acquisition step (4405), the third learning analysis rule holding step (4406), the third learning status information analysis acquisition step (4407), the third learning dialogue information storage step (4408), the third learning User-specific dialogue information selection rule holding step (4409), third learning dialogue information selection A step (4410), third learning interactive information output step (4411), consisting of.
  • the description of steps having the same function as in the twelfth embodiment or the thirteenth embodiment is omitted, and only the characteristic steps of
  • the fifteenth embodiment ⁇ Overview of the fifteenth embodiment>
  • the interactive learning promotion system of the fifteenth embodiment is characterized in that, in addition to the features described in any one of the twelfth to fourteenth embodiments, the effectiveness of the dialogue information outputted based on the learning effect information is judged. Do.
  • FIG. 45 is a diagram showing an example of the configuration of the interactive learning promotion system of the fifteenth embodiment.
  • the interactive learning promoting system of the fifteenth embodiment includes a first learning user identification information holding unit (4501), a first learning SNS user related information acquiring unit (4502), a first learning history information acquiring unit (4503), first learning effect information acquisition unit (4504), first learning analysis rule holding unit (4505), first learning status information analysis acquisition unit (4506), first learning dialogue information storage unit (4507), First learning dialogue information selection rule holding unit for each learning user (4508), first learning dialogue information selecting unit (4509), first learning dialogue information output unit (4510), learning effectiveness judgment rule holding section (4511), learning dialogue information And a validity judgment unit (4512).
  • the description of the configuration common to any one of the twelfth to fourteenth embodiments will be omitted, and only the configuration unique to the present embodiment will be described.
  • the “learning effectiveness determination rule holding unit” holds a learning effectiveness determination rule which is a rule for determining whether the dialogue information is effective based on the learning effect information acquired with respect to the output dialogue information.
  • the effectiveness of the dialogue information is judged by the dialogue information and the learning effect information related to the dialogue information. If it can be judged that the learning effect has been increased by the influence of the dialogue information, it can be judged that the dialogue information is valid, and if it can be judged that the learning information has fallen, the dialogue information is judged to be the opposite effect. Of course, it may be judged that it was neutral and had no influence.
  • the validity of the dialogue information may be determined on each of the A + N day and the A + 2N day.
  • the number of judgments of the effectiveness is not limited to two, and may be configured to judge any plural times. This is because the number of days until the dialogue information gives the user a good influence on the improvement of the learning effect can not be uniquely determined, and can also change depending on the attribute such as the character of the user.
  • the determination of the validity among the plurality of pieces of dialogue information may not be separated. In that case, the effectiveness of the collective block of dialogue information will be evaluated.
  • the influence degree of each dialogue information constituting the plurality of dialogue information is separated to judge the validity. Can.
  • the “learning dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the learning effect information acquired for the dialogue information, and the learning effectiveness judgment rule. Comparing the learning effect of one old learning point of the same learning unit with another new learning point, it is output from the old time point to the new time point if it is recognized that the learning effect at the new time point is improved. It is determined that the dialogue information is valid. If the learning effect at the new time point is diminished, it is determined that the dialogue information output from the old time point to the new time point is not valid. It is also possible to use learning effect information alone to determine whether the dialogue information is valid.
  • the dialogue information and the learning effect information may not necessarily have a 1: 1 relationship. This is because one dialogue may work effectively for a plurality of learning units. On the other hand, a plurality of dialogues may work effectively for one learning unit, and eventually, the dialogue information and the learning effect information may have a many-to-many relationship.
  • the learning dialogue information validity judgment unit it is clear on the basis of the dialogue information selection rule for each user what kind of action the dialogue information outputted from the dialogue information output unit aims to cause the user to aim at, It is clear which dialogue information and which learning unit to compare. That is, since the dialogue information is selected based on the acquired learning situation information and the held dialogue information selection rule for each user, which learning unit specifically targets the acquired learning situation Will be shown.
  • the learning effectiveness judgment rules can also judge the effectiveness of the guidance dialogue, and can also evaluate the negative reaction of the user. It is conceivable to configure as follows.
  • By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, and tenacious, repetitive to the user It is possible to enhance the system of the dialogue method to be performed, and to capture with that hand.
  • FIG. 46 is a diagram showing a hardware configuration of the fifteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the description of the programs having the same operation as any one of the twelfth to fourteenth embodiments will be omitted.
  • the “learning history validity judgment rule holding program” newly added in the present embodiment holds the learning effectiveness judgment rule.
  • the “learning dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the learning validity judgment rule.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information including SNS user related information
  • learning effect information including SNS user related information
  • learning analysis rules learning status information
  • dialogue information Various setting information etc. such as user-specific dialogue information selection rule, selected dialogue information, learning validity judgment rule, learning validity judgment result, communication not shown, etc. are held in non-volatile memory and loaded into main memory, and a series of It is referred to and used in program execution.
  • FIG. 47 is a diagram illustrating an example of a process flow of the fifteenth embodiment.
  • the first learning user identification information holding step (4701) the first learning SNS user related information acquiring step (4702), the first learning history information acquiring step (4703), the first learning effect information acquiring step (4704), first learning analysis rule holding step (4705), first learning situation information analysis acquiring step (4706), first learning dialogue information storing step (4707), first learning user classified dialogue information selecting rule ( 4708), the first learning dialogue information selecting step (4709), the first learning dialogue information outputting step (4710), the learning validity judgment rule holding step (4711) holding the validity judgment rule, based on the learning validity judgment rule And a learning dialogue information validity judging step (4712) for judging the validity of the dialogue information.
  • the sixteenth embodiment ⁇ Summary of the sixteenth embodiment> In addition to the feature described in any one of the twelfth to fifteenth embodiments, the interactive learning promotion system according to the sixteenth embodiment is characterized in that the effectiveness of the dialogue information is judged using learning history information.
  • Embodiment 16 Configuration of the Invention
  • An example of the configuration of the interactive promotion system according to the sixteenth embodiment is based on the configuration of the twelfth embodiment shown in FIG. 36, and additionally has a learning history validity judgment rule and a learning history dialogue information validity judgment unit. It is. The description of the configuration common to any one of the twelfth to fifteenth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
  • the “learning history validity judgment rule holding unit” holds a learning history validity judgment rule which is a rule for judging whether the dialogue information is valid based on the learning history information acquired with respect to the outputted dialogue information.
  • the “learning history validity determination rule” is a rule that determines from the learning history whether the user follows the dialogue information or the dialogue information has taken an intended action, and determines the validity of the outputted dialogue information. It is determined that the interaction information output when the user takes an action that matches or approaches the specified, proposed, or intended content according to the output interaction information is valid. It is acquired as mentioned above regarding which dialogue information aimed at which learning unit etc. Moreover, it can also be configured to limit the action taken within the predetermined time from the output of the dialogue information. Although it depends on the system design concept, it is possible to determine an appropriate time length in relation to the user attribute, depending on how much time is taken. Generally within a few hours to within a week.
  • the learning history validity determination rule is a rule for determining the validity of the dialogue information based on the learning history information.
  • emphasis is placed on stimulating and improving or maintaining the willingness to learn in order to put on learning behavior habitually. Therefore, although the judgment is to some extent external, the information content of the learning history information can be deepened, and by using the deep information as the rule, the judgment can be made closer to the real. For example, when the user starts learning only half a day after the output of the dialog information for simple learning, it can not be said that the user's willingness to learn is immediately stimulated by the dialog information to enhance the learning motivation, and the output It may be judged that the effectiveness of the dialogue information is low.
  • learning history information may be configured to be used as corrected by external information.
  • the learning history validity judgment rule can also judge the effectiveness of the guidance dialogue as well as the effectiveness judgment rule of the interactive health promotion system, and can also evaluate the negative reaction of the user. It is conceivable to configure as follows.
  • By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, and tenacious, repetitive to the user It is possible to enhance the system of the dialogue method to be performed, and to capture with that hand.
  • Embodiment 16 Learning History Dialogue Information Validity Determination Unit judges the validity of the dialogue information based on the outputted dialogue information, the learning history information acquired for the dialogue information, and the learning history validity judgment rule .
  • the evaluation can be designed to be the highest when the learning history of the user matches the intention of the outputted dialogue information, and the lower the proximity, the lower the evaluation.
  • the evaluation of proximity is (1) the length of time from the output of the dialogue information to the start of the intended learning, (2) the deviation value of the time length in the population, and (3) the intended learning The difference between the standard time defined in the unit and the deviation value of the difference within the population, (4) the difference between the scheduled start time of the intended learning and the actual start time, (5) within the population of the difference Deviation value of (6) Difference with standard time difference defined in the learning unit of difference or deviation value within the population of the difference (7) Duration of learning, (8) Within duration of learning Break frequency (measured by time, number of times etc), (9) blank time length between learning and learning, (10) operation information of learning input device such as keyboard, (11) installed near learning terminal Judgment based on one or more of the user's video analysis results from different cameras, (12) evaluation by the user involved in learning, etc.
  • the learning history dialogue information validity judgment unit may be configured to be able to judge the validity of the dialogue information while the user is taking a learning action, or batch processing (for example, the user is in the middle of the night) Judgment of effectiveness based on the past learning history in the time zone (sleep time zone) where the dialog with the system is not normal (sleep time zone), or when the dialog with the user is interrupted for a long time It is also possible to configure it to
  • Embodiment 16 Hardware Configuration
  • the hardware configuration of the sixteenth embodiment is based on the hardware configuration of the twelfth embodiment shown in FIG.
  • the description of a program that performs a common operation with any one of the twelfth to fifteenth embodiments is omitted.
  • the “learning history validity determination rule holding program” newly added in the present embodiment holds a learning history validity determination rule.
  • the “learning history dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the learning history validity judgment rule.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information
  • learning analysis rules learning status information
  • dialogue information Various setting information etc. such as user-specific dialogue information selection rule, selected dialogue information, learning history validity judgment rule, learning history validity judgment result, communication not shown, etc. are held in non-volatile memory and loaded to main memory, It is referred to and used during a series of program execution.
  • the flow of the sixteenth embodiment An example of the process flow of the interactive learning promotion system of the sixteenth embodiment is based on the process flow of the twelfth embodiment shown in FIG. 38, and additionally to the learning history validity step after the first learning dialogue information output step.
  • the learning history validity judgment rule holding step for holding the judgment rule, and the learning history dialogue information validity judgment step for judging the validity of the dialogue information outputted based on the learning history validity judgment rule.
  • the description of the steps for performing the common information processing with any one of the twelfth to fifteenth embodiments is omitted.
  • the interactive learning promotion system according to the seventeenth embodiment is characterized in that, in addition to the feature described in the fifteenth embodiment or the sixteenth embodiment, statistical dialogue information validity judgment is performed by statistical processing of big data.
  • FIG. 48 is a diagram showing an example of the configuration of the interactive learning promotion system of the seventeenth embodiment.
  • the interactive learning promotion system of the seventeenth embodiment includes a first learning user identification information holding unit (4801), a first learning SNS user related information acquisition unit (4802), and a first learning history information acquisition unit.
  • first learning effect information acquisition unit (4804) first learning effect information acquisition unit (4804), first learning analysis rule holding unit (4805), first learning status information analysis acquisition unit (4806), first learning dialogue information storage unit (4807), First learning dialogue information selection rule holding unit for each learning user (4808), first learning dialogue information selecting unit (4809), first learning dialogue information output unit (4810), learning effectiveness judgment rule holding unit (4811), learning dialogue information It comprises an effectiveness judgment unit (4812), learning effectiveness statistical processing rule holding means (4813), and learning statistical dialogue information effectiveness information acquiring means (4814).
  • effectiveness judgment unit 4812
  • learning effectiveness statistical processing rule holding means 4813
  • learning statistical dialogue information effectiveness information acquiring means 4814
  • Learning effectiveness statistical processing rule holding means holds a learning effectiveness statistical processing rule, which is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute with respect to the population Means for the learning dialogue information validity judging unit and / or the learning history dialogue information validity judging unit.
  • the effectiveness of the dialog information from the learning effect information or the learning history information according to the dialog information output to a specific user as the processing in the dialog information validity judging unit already described to the specific user It is conceivable to judge the This is because “for each part of the population with common user attributes for the population” can only compare the effectiveness of the dialogue information unless the user has common user attributes for learning. Specifically, it is possible to determine the effectiveness of the dialogue information by using, as a population, users having user attributes in which the learning unit and its upper concepts (learning items, learning categories, etc.) are common. Although the effectiveness of dialogue information can be judged in relation to individual individuals, statistical effectiveness can also be judged for groups. In this system, it is premised that some attribute information of the user is held in association with the user identification information. It is preferable that the learning status information is also held as attribute information for each user.
  • the weighting can be used to determine the order of high effectiveness. Since it is considered more effective to weight the judgment results of individuals individually, it is effective, for example, to weight information on dialogue information judged to be effective in individuals, and information on dialogue information judged to be effective by statistical processing. It can be considered to incorporate in the user-by-user dialogue information selection rule a weighting of about 7: 3, 6: 4.
  • “Learning effectiveness statistical processing rule” is to determine the sameness of the intention of the dialogue information different for each user arranged to the user attribute and the rule for acquiring the statistical effectiveness of certain dialogue information
  • the rule of is composed of two.
  • dialogue information attribute information is attached to the dialogue information, and processing may be performed so as to determine the identity of the intention.
  • processing may be performed so as to determine the identity of the intention.
  • each user evaluates the numerical value of the numerical evaluation based on learning effect information and learning history information for the advice included in the dialogue information.
  • statistical processing can also be performed statistically using learning effect information or / and learning history information associated with dialogue information accumulated in the past.
  • the acquisition of the effectiveness may be configured to be acquired according to the change in the learning status information before and after the output of the dialogue information. This is the same in statistical processing and in the case of not performing statistical processing.
  • the learning effectiveness statistical processing rule can be configured to be able to judge statistical effectiveness also for the evaluation on introduction dialogue and negative reaction of the user.
  • the introductory dialogue information, the evaluation for negative reaction, and the description of the type of personality have been described in the sixth embodiment of the interactive health promotion system.
  • the user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule.
  • the user attribute information held in the attribute information holding unit may be updated.
  • a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information.
  • a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained.
  • the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character.
  • Information related to learning of user attribute information includes nationality, language used, experience of studying abroad, country of study abroad, school year, class, gender, belonging school, belonging school, belonging communication learning course (learning course in learning system) , Affiliation class, science or culture, subject being studied, learning unit, desired school, course, home school, home school, home club, school, affiliation class (first rank, second grade, etc.), job title, length of study duration for study (time ), Winning experience in competitions, etc., participation experience in competitions etc. The method of acquiring these pieces of information has already been described in the twelfth embodiment.
  • Embodiment 17 Learning Statistical Dialogue Information Validity Information Acquisition Means
  • Learning statistical dialogue information effectiveness information acquisition means makes the effectiveness of the dialogue information statistically at least in the population based on the dialogue information of a plurality of users and the held learning effectiveness statistical processing rules.
  • a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute.
  • some attribute information of the user is held in association with the user identification information, and such attributes constitute a population, and the attributes are common.
  • By collecting the effectiveness information of the dialogue information for each population it is possible to obtain statistical dialogue information validity information for at least a part of the population for each common user attribute.
  • Training statistical dialogue information effectiveness information is a result of processing statistically, according to the user attribute etc. effectiveness of dialogue (from low effectiveness to high effectiveness) and various dialogues having each effectiveness It is information that expresses the number of types of information as a function, and is generally normally distributed.
  • FIG. 22 is one example of learning statistical dialogue information validity information (described in the seventh embodiment).
  • the number of dialog information with the effectiveness "medium” is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high” and the effectiveness "low”.
  • FIG. 49 is a diagram showing a hardware configuration of the seventeenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the seventeenth embodiment as shown in this figure the description of the programs having the common operation with the fifteenth embodiment or the sixteenth embodiment will be omitted.
  • the “learning effectiveness statistical processing rule holding program” newly added in the present embodiment holds the learning effectiveness statistical processing rule.
  • the “learning statistical dialogue information effectiveness information acquiring program” acquires learning statistical dialogue information validity information based on the learning effectiveness statistical processing rule.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information
  • learning analysis rules learning status information
  • dialogue information User-specific dialogue information selection rules, selected dialogue information, learning effectiveness judgment rules, learning effectiveness judgment results, learning effectiveness statistical processing rules, learning statistical dialogue information validity information, various settings such as communication not shown, etc.
  • learn effectiveness statistical processing rules learning statistical dialogue information validity information, various settings such as communication not shown, etc.
  • FIG. 50 is a diagram illustrating an example of a process flow of the seventeenth embodiment.
  • the first learning user identification information holding step (5001) the first learning SNS user related information acquiring step (5002), the first learning history information acquiring step (5003), the first learning effect information acquiring step (5004), first learning analysis rule holding step (5005), first learning situation information analysis acquiring step (5006), first learning dialogue information storing step (5007), first learning user classified dialogue information selecting rule holding step ( 5008), first learning dialogue information selecting step (5009), first learning dialogue information outputting step (5010), learning effectiveness judgment rule holding step (5011), learning dialogue information validity judging step (5012), learning effectiveness Learning effectiveness statistical processing rule holding substep (5013) holding statistical processing rules, learning available
  • the eighteenth embodiment ⁇ Outline of the eighteenth embodiment> The interactive learning promotion system of the eighteenth embodiment is characterized in that, in addition to the feature described in any one of the fifteenth to seventeenth embodiments, the user-specific dialog information selection rule is updated based on the validity judgment result. Do.
  • FIG. 51 is a diagram showing an example of the configuration of the interactive learning promotion system of the eighteenth embodiment.
  • the interactive learning promotion system according to the eighteenth embodiment includes a first learning user identification information holding unit (5101), a first learning SNS user related information acquiring unit (5102), and a first learning history information acquiring unit.
  • the “learning user-specific dialogue information selection rule updating unit” is a learning information-specificity judging unit or / and the learning history dialogue information validity judging unit, and the “interactive information selecting rule holding unit for each user”. Update the per-user dialog information selection rule that is held. To update is to update the validity associated with the interaction information for each user. If there is a change in the user-by-user effectiveness conventionally associated with the dialogue information as a result of the effectiveness determination, processing for associating with the latest effectiveness is performed.
  • FIG. 25 is a diagram showing the function of the user-by-user dialogue information selection rule updating unit, and the outline has been described in the eighth embodiment.
  • This selection is also a process of changing the priority selection order of the dialogue information stored in the dialogue information storage unit (including the first and the second).
  • Validity is held separately for effectiveness judged based on learning effect information, effectiveness judged even based on learning history information, effectiveness judged based on other response dialogue information, and information based on that May be configured.
  • the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue.
  • the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
  • FIG. 52 is a conceptual diagram showing an outline of an operation of AI (Artificial Intelligence) for updating a selection rule in the eighteenth embodiment.
  • AI Artificial Intelligence
  • the present interactive learning promotion system holds user-specific dialogue information selection rules reflecting personal characteristics.
  • the individual characteristics of each user reflected here are the form of dialogue information such as wording in conversation, the contents of dialogue information corresponding to learning status information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc.
  • the learning situation information C and the other numerical values are identical except that the number of consecutive days for learning of a certain subject differs by 12 days, it is selected for the learning situation information C as similar learning situation information. It selects and outputs dialogue information (5209) "Let's study for a while! Which is dialogue information similar to the dialogue information.
  • the learning effect information of “Q3 answer mistake” (5210) is acquired for the outputted dialogue information, the user has learned only one question (learning history information) and is incorrect It is recognized that it is finished.
  • FIG. 53 is a diagram showing the hardware configuration of the eighteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the eighteenth embodiment as shown in this figure the description of the programs having the same operation as any one of the fifteenth to seventeenth embodiments will be omitted.
  • the "learning user classified dialogue information selecting rule update program" newly added in the present embodiment updates the user classified dialogue information selecting rule according to the validity of the dialogue information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • the non-volatile memory holds various setting information, such as user-specific dialogue information selection rules, selected dialogue information, learning validity judgment rules, learning validity judgment results, update user-specific dialogue information selection rules, and communication not shown, It is loaded into the main memory, referred to, and used when executing a series of programs.
  • FIG. 54 is a diagram illustrating an example of a process flow of the eighteenth embodiment.
  • the nineteenth embodiment ⁇ Outline of the nineteenth embodiment> The interactive learning promotion system according to the nineteenth embodiment has the feature of the seventeenth embodiment or the eighteenth embodiment based on statistical dialog information validity information in addition to the features of the eighteenth embodiment based on the seventeenth embodiment or the seventeenth embodiment. It is characterized in that the user-by-user dialogue information selection rule held is updated.
  • FIG. 55 is a diagram showing an example of the configuration of the interactive learning promotion system of the nineteenth embodiment.
  • the interactive learning promoting system of the nineteenth embodiment includes a first learning user identification information holding unit (5501), a first learning SNS user related information acquiring unit (5502), and a first learning history information acquiring unit.
  • first learning effect information acquiring unit (5504) first learning effect information acquiring unit (5504), first learning analysis rule holding unit (5505), first learning status information analysis acquiring unit (5506), first learning dialogue information storage unit (5507), First learning dialogue information selection rule holding unit (5508), first learning dialogue information selecting unit (5509), first learning dialogue information output unit (5510), learning effectiveness judgment rule holding unit (5511), learning dialogue information Validity judgment unit (5512), learning effectiveness statistical processing rule holding means (5513), learning statistical dialogue information effectiveness information acquiring means (5514), learning statistical user-specific dialogue information selection Lumpur updating section (5515), consisting of.
  • the description of the configuration common to the seventeenth embodiment or the eighteenth embodiment is omitted, and only the configuration unique to the present embodiment will be described.
  • ⁇ Embodiment 19 Learning statistical user-specific dialogue information selection rule updating unit>
  • the “learning statistical user-by-user dialogue information selection rule updating unit” updates the by-user dialogue information selection rule held in the by-user dialogue information selection rule holding unit on the basis of the acquired statistical dialogue information validity information.
  • the other points are the same as in the eighteenth embodiment.
  • FIG. 56 is a diagram showing the hardware configuration of the nineteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the nineteenth embodiment as shown in this figure the description of the programs having the same operation as any one of the seventeenth embodiment or the eighteenth embodiment based on the seventeenth embodiment will be omitted. .
  • the “learning statistical user-by-user dialogue information selection rule updating program” newly added in the present embodiment updates the user-by-user dialogue information selection rule based on learning statistical dialogue information validity information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information, learning analysis rules, learning status information
  • dialogue information User-specific dialogue information selection rules, selected dialogue information, learning effectiveness judgment rules, learning effectiveness judgment results, learning effectiveness statistical processing rules, learning statistical dialogue information validity information, update user-specific dialogue information selection rules,
  • setting information and the like such as non-communication are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
  • FIG. 57 is a diagram illustrating an example of a process flow of the nineteenth embodiment.
  • Embodiment 20 ⁇ Outline of the twentieth embodiment>
  • the twentieth embodiment is an invention in which the twelfth embodiment is described in a methodological manner, and basically, the concept of the twelfth embodiment of the present invention is expressed as a computer operation method.
  • the twenty-first embodiment ⁇ Outline of the twenty-first embodiment> is an invention which describes the method of the twelfth embodiment, and basically the category of the invention of the twelfth embodiment is expressed as an operation method of a computer.
  • Embodiment 21 Configuration of the Invention
  • the configuration of the operation program of the interactive learning promotion system shown in the twenty-first embodiment is the same as the configuration shown in FIG. The description of each configuration is omitted since it has been described in the twentieth embodiment.
  • Embodiment 22 ⁇ Embodiment 22 Outline of the Invention>
  • the interactive purchase promotion system uses the purchase history information and the advertisement transmission history information in addition to the user's speech information and browsing information in the SNS, and uses the purchase history to show the increased motivation toward the user's purchase.
  • An object of the present invention is to strengthen the user's purchase motivation by acquiring situation information and outputting to the SNS a dialogue in accordance with the purchase status which is the degree of motivation towards the user's current purchase.
  • FIG. 58 is an image conceptual diagram showing the relationship between an interactive purchase promotion system, various SNS, advertisement and the like.
  • the interactive purchase promotion system outputs dialogue information through the SNS 2 (5804).
  • SNS user related information (5805a) that can be acquired through SNS1 and / or SNS user related information (5805b) that can be acquired through SNS2
  • this interactive purchase promotion system is information (5806) about goods that the user browsed through a personal computer etc.
  • the advertisement advertisement transmission history information (5807) etc. regarding the advertisement provided to the user by the company is acquired.
  • the user may be configured to acquire life log information (5809) or the like at which the user actually visited the store (Embodiment 23).
  • FIG. 59 is an image conceptual diagram when performing purchase promotion advice to a user who has an interactive purchase promotion system.
  • the interactive purchase promotion system (5901) is a conversation information transmitted by the user (5902) registered in the interactive purchase promotion system using SNS etc. on a daily basis ("I want to buy a car soon.” Information on the remarks of the new car (viewing related articles of new cars, car's car, etc.) Confirm the trial calculation of the purchase assessment, automatically acquire (5904) user-specific information (5903) such as DM from multiple automobile companies.
  • the purchase status information (5906) is obtained by analyzing (5905) the obtained information.
  • the interactive purchase promotion system determines the background purpose from the acquired purchase status information and selects appropriate dialogue information for achieving the purpose.
  • the interactive purchase promotion system uses external information such as an utterance on SNS, advertisement advertisement transmission history possessed by a company and purchase history of a user for analyzing the purchase status of the user.
  • external information such as an utterance on SNS, advertisement advertisement transmission history possessed by a company and purchase history of a user for analyzing the purchase status of the user.
  • the acquired external information and the like are analyzed to analyze the "purchase intention" of the user, thereby analyzing and acquiring the "current purchase status information”.
  • the contents of dialogue information such as optimal ad ice are selected from the "current purchase status information" obtained by analysis, and the user is most suitable in accordance with the familiar or persuasive tone
  • the dialogue information which is the content of the advice selected using the tone is output.
  • FIG. 60 is a diagram showing an example of the configuration of the interactive purchase promotion system of the twenty-second embodiment.
  • the interactive purchase promotion system of the twenty-first embodiment includes a first purchase user identification information holding unit (6001), a first purchase SNS user related information acquisition unit (6002), and a first purchase history information acquisition unit. (6003), first purchase advertisement advertisement transmission history information acquisition unit (6004), first purchase analysis rule holding unit (6005), first purchase purchase status information analysis acquisition unit (6006), first purchase dialogue information storage unit (6003) 6007), a first purchase user classified dialogue information selection rule holding unit (6008), a first purchase dialogue information selection unit (6009), and a first purchase dialogue information output unit (6010).
  • Embodiment 22 First Purchasing User Identification Information Holding Unit
  • the “first purchase user identification information holding unit” holds user identification information that identifies a user who has a purchase history of a specific product using the SNS.
  • the "specific product” is a product for which purchase promotion is aimed at in the interactive purchase promotion system, and the "product” in the present specification may be either a product only, a service only, or a product or service.
  • the products include not only marketed products but also non-marketed products such as buildings, real estate, arts and crafts, single point paintings, sculptures, handicrafts, antiques, etc.
  • Other services include movie screenings, theater performances, information provision, consulting, marketing, medical treatment by doctors, medical treatment outside insurance coverage, transportation, transportation, transportation, power generation, power transmission, and various other services.
  • the user identification information is only required to identify the user in the interactive purchase promotion system, but the identification of the user may be configured to be performed for each specific product. It is common to hold the name, address, telephone number, e-mail address, user-specified ID, date of birth, occupation, age, gender, etc. in relation to the user identification information, and it is related to health Information (eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.) One or more of the information may be held.
  • health Information eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.
  • this interactive purchase promotion system in addition to or in place of the physical information of the user, information identifying a specific product for which the user has a purchase history, currently owned information that is information related to the user's purchase If you are using a specific product that you are or are using, the type of product or product that you may substitute, the purchase date of the product you are currently using, your income, the borrowing status, the credit card you are using (including the card number) Stock information, virtual currency (type, amount) held, bank (account number) used, family structure, friendship relationship, work place, length of service, job title at work place, work place industry, school destination , Place of work, place of commuting, commuting route, school route, school from school, previous work place, commuting transportation, commuting transportation, home nearest station, working hours, working hours, holidays, hobbies and preferences (food, drinks, clothes, Music, movies, reading , Perfume, color, clock, car, personal computer maker, brand, play, collection, hairstyle, nail, accessory, cigarette,
  • the life log indicating the physical condition of the user includes heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergic reaction It may be configured to include one or more of the degree, the degree of accumulation of the fatigue material, and the like. These are acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function.
  • the portable memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • USB memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • portable memory which is stored in portable memory without communication but is portable It can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
  • the user attribute information held in association with the user identification information may be configured to be registered by the user at the start of use of the interactive purchase promotion system. With this registration, the interactive purchase promotion system can be configured to be available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data such as a store having a usage history, a department store, a supermarket, a product purchase site on the web, a product purchase system based on an application, household finance software used by a user, tax administrator managed by a user Information obtained from a computer system, a system of electronic money used by a user, information from a system of credit card used by a user, data held by a facility such as a training application can be used.
  • the registration of the user attribute information is (1) the first purchase (or the viewing and receiving of the advertisement) if there is a purchase history (or the advertisement advertisement sending history or the reception history), or the second or later purchase ( Alternatively, the user attribute can be registered at the time of viewing and receiving the advertisement.
  • This registration can be configured to be registered via the Internet if the purchase (or browsing of the advertisement) is via the Internet.
  • the cookie is transmitted to the terminal at the time of the first purchase (or viewing and receiving of the advertisement), and the second and subsequent purchases At the time of registration, it is also possible to configure to record retrospectively access / purchase results recorded via the cookie of the purchase web page of the same terminal as purchase history.
  • the purchased net itself is registered at a place such as a member-oriented shopping mall or web shopping of a credit card company, it is possible to divert the registered user attribute when registered in the shopping mall.
  • user attribute registration items at the time of diversion information and new purchase may be mixed and used as user attributes.
  • the registration can be configured to be web off-line (postcard, letter, e-mail, etc.). In the case of offline registration, it may be configured to be input by a human input operation or by mechanical character reading.
  • the user attribute may be registered from a letter, a web site, etc., at the time of mail order membership registration.
  • the same is true for mail order services made by credit card companies.
  • registration of the user attribute of the user who only accesses the advertisement can be registered from the advertisement registration registration application web screen or registered by mail when registering the push notification of the advertisement. It may be configured.
  • the registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
  • the “first purchase SNS user related information acquisition unit” acquires, as external information, SNS user related information which is user related information including the utterance of the SNS used by the user in association with the user identification information.
  • SNS user related information which is user related information including the utterance of the SNS used by the user in association with the user identification information.
  • SNS user related information and “SNS” have been described in the first embodiment regarding the interactive health promotion system.
  • Embodiment 22 First Purchase History Information Acquisition Unit
  • the “first purchase history information acquisition unit” acquires purchase history information that is information indicating the purchase history of the specific product in association with the user identification information.
  • the purchase history information is output from the interactive purchase promotion system in addition to the purchase point when the user purchased the specific product in the past, the purchase price, the purchase store information, and the purchase assessment price information of the current product.
  • the date and time of purchase when purchasing a specific product, purchase price, and information on the store where the purchase is made are also included. It is conceivable that purchase history information is provided from a shop of a purchaser, that is, a company or the like who practices an approach for purchasing a specific product to the user through the use of the present system.
  • the purchase history information includes information that has been purchased for the Nth time but not yet purchased for the N + 1th time. For example, it is an action of a user performed with a seller or manufacturer of a specific product or the like at the pre-purchase stage.
  • the “first purchase advertisement advertisement transmission history information acquisition unit” acquires advertisement advertisement transmission history information which is a transmission history of advertisement of the specific product which may be touched by the user in association with the user identification information.
  • the “advertising advertisement transmission history information” is a history of information transmitted for the promotion of a specific product. Therefore, for example, TV commercials, newspaper ads, magazine ads, radio CMs, in-car ads, newspaper insert flyers, DM, SNS outgoing news, press releases, company bulletins, company HP, magazine feature articles, TV program features, events etc Various information can be considered.
  • the advertisement advertisement transmission history includes those which are transmitted specifying users and those which are transmitted to unspecified persons.
  • the “first purchase analysis rule holding unit” acquires purchase status information by analyzing external information, purchase history information, advertisement advertisement transmission history information, in association with user identification information, from the viewpoint of grasping the purchase status.
  • the first purchase analysis rule which is the rule for Since the first purchase analysis rule is associated with the user identification information
  • the first purchase analysis rule is a purchase analysis rule that matches the characteristics of the user.
  • the ultimate purpose of the interactive purchase promotion system is to realize the continuation of voluntary purchase of a specific product. In order to realize the continuation of voluntary purchasing, in order to make the habitation of purchasing wear, to improve the buying motivation for wearing this habit, and to maintain the wearing habit It will be necessary to maintain the purchase intention.
  • This interactive purchase promotion system is a dialogue system for realizing improvement and maintenance of the purchase intention. Therefore, the purchase analysis rule is a rule for each user for performing analysis acquisition of purchase status information for each user, which is required to improve and maintain the purchase desire.
  • the “purchase status information” is information indicating a sense of distance between the specific product and the user, to what extent the user is willing to purchase the specific product. For the calculation of sense of distance, as "information acquired from external information", the amount of speech in the SNS to information related to a specific product, the frequency of speech, the change in the volume of speech, the change in speech frequency, the degree of friendship, etc.
  • the usage frequency, usage frequency, and consumption frequency of the specific product inferred from the statement can be mentioned, and “information acquired from purchase history information” is the number of repeat purchases of the specific product within a predetermined period
  • the number of repeat purchases, repeat purchase duration (years, months, weeks, days), change in repeat purchase interval, or any one or more of the following can be cited as "information to be acquired from advertising advertisement transmission history information"
  • the quantification of the sense of distance uses the first purchase analysis rule. This rule is configured to calculate the sense of distance by quantifying and combining external information, purchase history information, and advertisement transmission history information.
  • the mental state of the user is analyzed, and it is calculated that the better the mental state is, the higher the effectiveness, and the worse the mental state, the lower the effectiveness.
  • a mental state creating a situation where words and gestures that are presumed to be in a state of "relief”, “mental stability”, “relax” etc. as external information can be created as external information, maintaining the situation Can be mentioned.
  • the mental health situation is good, not only bad, but also relief, anxiety, appreciation, startle, excitement, curiosity, sexual curiosity, calmness, irritability (irritability), wonder (embarrassment), good luck, relaxation, tension, Honor, responsibility, respect, closeness (intimacy), ashamed (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, frustration, remorse, hate, shame, contempt, ashamedy, guilt, murderous intent, expectation Feeling of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, licking, hopelessness, hate, emptiness, and other mental situations should be rated and configured to be used in the calculation of the degree of friendship You can also.
  • the friendship degree is calculated according to the degree of paying attention to the specific product, the friendship degree is obtained according to the degree of interest in the specific product, or the friendship degree is obtained according to the amount of association regarding the specific product.
  • the friendship degree is obtained according to the degree of interest in the specific product, or the friendship degree is obtained according to the amount of association regarding the specific product.
  • obtain a degree of friendship according to the amount of desire related to a specific product, obtain a degree of friendship based on the large amount of comparison regarding a specific product, or according to the amount of certainty regarding goodness
  • the degree of friendship can be obtained or the degree of friendship can be obtained according to the strength of the purchase decision regarding a specific product.
  • the change of the repeat interval can be quantified so that the sense of distance becomes closer when the repeat interval becomes constant or short, and can be quantified so that the sense of distance becomes distant when the repeat interval becomes long.
  • the interval may be evaluated in accordance with whether the specific product is a mass-consumption product such as beer or a high-end consumer product such as an automobile.
  • the sense of distance becomes closer as the access frequency to the information related to the specific product becomes higher, and the access frequency Quantify the lower the distance so the sense of distance gets farther.
  • the sense of distance is closer as it increases Quantify as you want, and quantify so that the sense of distance gets farther as you decrease.
  • the purchase status information is acquired by integrating these three types of information. How each element is weighted depends on the design concept of the system.
  • the points may be considered that emphasis is placed on purchase history information, secondly on external information, and finally on advertisement advertisement transmission history information.
  • the points For example, if each of the points is 100 points based on three types of information, weighting is changed for each user based on the user's attribute, the past three types of information and the purchase history information, for example, purchase 60% of historical information points, 30% of external information, 10% of advertising advertisement transmission history information, 40% of purchasing history information points, 40% of external information, and 20% of advertising advertisement transmission history information Setting etc. can be considered.
  • the “first purchase purchase condition information analysis acquisition unit” is a first purchase relationship associated with the same user identification information as the acquired external information associated with the user identification information, the purchase history information, the advertising advertisement transmission history information, and the like.
  • Purchase status information is acquired based on purchase analysis rules.
  • the purchase status information may include the user's mental state type and the like as the accompanying information in addition to the quantified value which is a sense of distance to the purchase.
  • the acquired purchase status information may be stored in the first purchase purchase status information analysis acquisition unit in association with the user identification information and the output dialogue information, including the past ones, or the user identification information And may be stored as part of user attribute information stored as information associated with the user.
  • Embodiment 22 First Purchase Dialogue Information Storage Unit
  • the “first purchase dialogue information storage unit” stores dialogue information to be transmitted according to the purchase status information acquired in association with the user identification information.
  • the dialogue information is stored in a database as any and every conversation that may be spoken in the general society.
  • examples of conversation examples, words and still images, videos, robot programs, animations, pictures, avatars, etc. that are the basis for giving advice to users on purchasing or purchasing habits.
  • Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, based on the language dictionary database, conversation dictionary database, etc., the foundation is built in advance, and further SNS, information provision site, company advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be viewed and collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably).
  • the purchase promotion advice is performed using a specific product name, a specific store name, a specific company name, a specific part name, a specific function name, and a coined word. Since it is not always possible to obtain a specific proper noun or coined word surely from the net, it is preferable to configure so that a special language group can be input by a person directly inputting to the storage unit.
  • the interactive purchase promotion system is as concerned with the user as it is by reflecting on the individuality of each user and selecting and outputting the dialogue information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that dialogue information be stored so that not only the choice of the contents of the conversation, such as whether it will be lost, but also the type of conversation can be selected.
  • the first purchase dialogue information storage unit may store dialogue information as being different even if the dialogue has the same meaning for each difference in formation of the dialogue.
  • the first purchase dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the first purchase dialogue information output unit described later selects the basic selected from the first purchase dialogue information storage unit.
  • a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule.
  • the dialogue information accumulated in the first purchase dialogue information accumulation unit may be configured to be able to be displayed on the interface monitor.
  • the dialogue information storage unit management means is the first purchase dialogue information storage unit so that management actions such as addition, change and deletion of dialogue information can be manually performed from the interface screen on which the accumulated dialogue information is displayed. It can be considered that the communication information storage unit management unit is provided as a new configuration.
  • the management action of the first purchase dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive purchase promotion system.
  • the “first purchase user classified dialog information selection rule holding unit” holds the user classified dialog information selection rule which is a rule associated with the user identification information for selecting the accumulated dialogue information based on the acquired purchase status information Do.
  • the user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is concerned about himself. It is a rule for selecting dialogue information so as to be a natural conversation. Select the form of conversation according to the form of the user's dialogue from the SNS user transmission information etc.
  • the attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, entertainer, historical person, announcer, character) and the like.
  • the user-specific dialogue information selection rule is selected such that the format corresponding to the individuality of the user is selected from the first purchase dialogue information storage unit Configure. If the selection rule includes information indicating the user's mental state in the purchase status information, the selected dialogue information may be changed according to the user's mental state.
  • the dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
  • the user since the user always responds from a negative comment, he / she is unwilling to refuse if asked repeatedly, or he / she hates over-emphasis although it is not so disgusting as it is, it is the personality of the user that he hates it for the time being. If it is acquired as information etc., it can not be said that the output dialogue information is not effective only by a few negative responses from the user, and the user can accept the output of the same dialogue information on average If it is recommended that the process be repeated according to the result of statistical analysis with the attribute as the attribute, it is recommended that the dialogue information selection unit select the correspondence until it is repeated until the specified number of times exceeds the required number. Is considered. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
  • a non-yielding rule sub-step, sub-rule
  • Embodiment 22 First Purchase Dialogue Information Selection Unit
  • the “first purchase dialogue information selection unit” selects dialogue information from the first purchase dialogue information storage unit based on the purchase status information and the user-specific dialogue information selection rule held, and selects the characteristic for each user. Convert to the interactive information of the interactive style.
  • the “first purchase dialogue information selection unit” selects dialogue information from the first purchase dialogue information storage unit based on the acquired purchase status information and the held user dialogue information selection rule.
  • dialogue information is stored in the first purchase dialogue information storage unit for each difference in the dialogue form, it is possible to select the dialogue information matching the dialogue form and the dialogue content selected by the user-by-user dialogue information selection rule Become.
  • the basic dialogue information is selected from the first purchase dialogue information storage unit, and the selected dialogue information matches the dialogue style specified in the user-specific dialogue information selection rule Convert.
  • the basic dialogue information may indicate not a word itself but a group of words.
  • identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”.
  • the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule It is converted to the interactive form that conforms to.
  • the above work is the selection of dialogue information. This selection is configured to be made instantaneously by the computer. Specifically, when the input from the user is accepted via the SNS, the user has a speed for displaying a reply on the screen without giving a margin for closing the screen of the SNS. As an example, it is about 1 second or less on average.
  • Embodiment 22 First Purchase Dialogue Information Output Unit
  • the “first purchase dialogue information output unit” outputs the selected dialogue information to the user identified by the user identification information via the SNS.
  • the speed at which the first purchase dialogue information output unit outputs the dialogue information is the speed at which the first purchase dialogue information output unit responds immediately to the user's input if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard.
  • the output is a user's portable terminal, a fixed terminal such as a desktop personal computer, or the like.
  • the SNS to be output may be an application dedicated to the present interactive purchase promotion system, or an SNS service managed and provided by another system that is not exclusively for the interactive purchase promotion system used routinely by the user. It is also good.
  • the format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures.
  • SNS service that you use on a daily basis with real people, rather than using dedicated applications. It will be effective as it will display purchasing promotion advice and purchasing habit establishment advice from the interactive purchase promotion system naturally. Effective is that the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become.
  • the output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable.
  • the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
  • the user terminal is defined as a guest user to distinguish it from the case where the interactive purchase promotion system is activated, the user is called the calling telephone number, voice, name, member at the time of the first voice call.
  • the guest user's attribute information preferences, how to talk, how to make sense, hobbies, etc.
  • the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
  • the output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible.
  • the name may be freely set at the time of initial user registration.
  • an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system.
  • the output of the dialogue information may be configured to output the dialogue information not only by one character worn by the interactive purchase promotion system but also by a plurality of characters.
  • one character may be a cheering player, and the other may be a comforter, so that characters can be divided to effectively affect the user.
  • the setting of the character can also be configured to be selected based on the acquired external information, purchase history information, advertisement transmission history information, and the like.
  • An appropriate character can be selected according to the content (attribute) of the conversation information to be output. Therefore, an attribute is added to the conversation information and stored in the first purchase dialogue information storage unit, and a character corresponding to the attribute information is selected in the first purchase dialogue information output unit so as to compose an utterance on the SNS. It is good.
  • the speech of a friend or the like who is the system may be switched according to the position information. For example, when going out to Osaka, friends of Osaka Ben appear, and when going out to Kyushu, friends of Kyushu Ben appear.
  • a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time.
  • a friend etc. do not necessarily need to be an avatar (character) person, and may set various things, such as a mammal, a fish, an insect, a thing, etc. Further, the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc. In addition, you may send information such as equipment, supplements, etc., to promote use. Furthermore, the friends who are the system use the avatar schedule as described above, which set events according to the passage of time, such as going up the stairs of life, to be experienced, heated, and human-like. May be
  • FIG. 61 is a diagram showing an example of a hardware configuration of the twenty-second embodiment. As shown in the figure, basically, it can be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. As shown in this figure, as a program constituting the hardware of the twenty-second embodiment, the "first purchase user identification information holding program” holds user identification information. The “first purchase SNS user related information acquisition program” acquires SNS user related information. This is done via an interface program with the SNS.
  • the “first purchase history information acquisition program” acquires purchase history information of the user from an external learning system used by the user.
  • the “first purchase advertisement advertisement dispatch history information acquisition program” acquires a advertisement advertisement dispatch history.
  • the “first purchase analysis rule holding program” holds the first purchase analysis rule.
  • the “first purchase purchase situation information analysis acquisition program” acquires purchase situation information from external information, purchase history information, and advertisement transmission history information based on analysis based on the first purchase analysis rule.
  • the “first purchase dialogue information accumulation program” accumulates dialogue information.
  • the “first purchase user-based dialogue information selection rule holding program” holds dialogue information selection rules for each user.
  • the “first purchase dialogue information selection program” selects appropriate dialogue information from among the dialogue information stored based on the acquired purchase status information and the held user dialogue information selection rule.
  • the "first purchase dialogue information output program” outputs the selected dialogue information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialog information user-specific dialog information selection rules, selected dialog information, various setting information such as communication not shown, etc.
  • FIG. 62 is a diagram illustrating an example of a process flow of the twenty-second embodiment.
  • the first purchase user identification information holding step (6201) for holding user identification information
  • the first purchase SNS user related information acquisition step (6202) for acquiring SNS related information of the user
  • acquisition of purchase history information First purchasing history information acquisition step (6203) acquiring first advertising advertisement transmission history information acquiring step (6204), holding first purchasing analysis rule, and holding first purchasing analysis rule
  • Embodiment 23 ⁇ Embodiment 23 Outline of the Invention>
  • the interactive purchase promotion system according to the twenty-third embodiment is an independent embodiment, but is characterized by having a first purchase behavior / life log information acquisition unit in addition to the functions described in the twenty-second embodiment.
  • FIG. 63 is a view showing an example of the configuration of the interactive purchase promotion system of the twenty-third embodiment.
  • the interactive purchase promotion system of Embodiment 23 includes a second purchase user identification information holding unit (6301), a second purchase SNS user related information acquisition unit (6302), and a second purchase history information acquisition unit. (6303), second purchase advertisement advertisement transmission history information acquisition unit (6304), second purchase behavior / life log information acquisition unit (6305), second purchase analysis rule holding unit (6306), second purchase purchase status information analysis Acquisition unit (6307), second purchase dialogue information storage unit (6308), second purchase user classified dialogue information selection rule holding unit (6309), second purchase dialogue information selection unit (6310), second purchase dialogue information output unit And (6311).
  • the “second purchase user identification information holding unit” is the first purchase user identification information shown in the embodiment 22, and the “second purchase SNS user related information acquisition unit” is the first purchase SNS user related information shown in the twenty-second embodiment
  • the acquisition unit and the “second purchase history information acquisition unit” are the first purchase history information acquisition unit shown in the twenty-second embodiment, and the “second purchase advertisement advertisement transmission history information acquisition unit” is the first embodiment shown in the twenty-second embodiment
  • the purchase advertisement advertisement transmission history information acquisition unit, the "second purchase dialogue information output unit” indicates the first purchase dialogue information output unit described in the twenty-second embodiment, and the "second purchase dialogue information storage unit” indicates the twenty-second embodiment
  • the first purchase dialogue information storage unit and the "second purchase user classified dialogue information selection rule holding unit” are the first purchase user classified dialogue information selection rule holding unit described in the twenty-second embodiment, and the "second purchase dialogue information selection” Part is the first purchase
  • the “second purchase behavior / life log information acquisition unit” acquires behavior / life log information that is information indicating a user behavior or / and a life log in association with the user identification information.
  • “Action / life log information” is GPS information that means information moved by the user, drive recorder information that means information moved using a car, or ETC payment history information Financial statement history information when you went out, payment information to visit a specific store, experience information in a specific store, Internet search ⁇ viewing history, sample request ⁇ distribution information, catalog request ⁇ distribution information, Shopping mall ⁇ shopping mall visit information, shopping mall ⁇ shopping mall movement information (by indoor positioning technology), in-store gaze movement information (gaze detection by in-store camera), product inquiry information by telephone, parking lot usage information, Restaurant use / reservation information, vending machine use information, electronic money payment information, online shopping use information, taxi ) Ride information, home delivery order information, attraction usage information, at-home time information, beauty salon usage information, massage usage information, hospital usage information, movie usage information, beauty treatment usage information, coupon (especially computerized) usage information, Includes one or more of paid content usage information (especially via the Internet), video viewing history, transportation usage history, etc.
  • heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like.
  • the user attribute information held in association with the user identification information can be configured to be registered by the user at the start of use of the interactive purchase promotion system. With this registration, the interactive purchase promotion system can be configured to be available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data such as a store having a usage history, a department store, a supermarket, a product purchase site on the web, a product purchase system based on an application, household finance software used by a user, tax administrator managed by a user Information obtained from a computer system, a system of electronic money used by a user, information from a system of credit card used by a user, data held by a facility such as a training application can be used.
  • the registration of the user attribute information is (1) the first purchase (or the viewing and receiving of the advertisement) if there is a purchase history (or the advertisement advertisement sending history or the reception history), or the second or later purchase ( Alternatively, the user attribute can be registered at the time of viewing and receiving the advertisement.
  • This registration can be configured to be registered via the Internet if the purchase (or browsing of the advertisement) is via the Internet.
  • the cookie is transmitted to the terminal at the time of the first purchase (or viewing and receiving of the advertisement), and the second and subsequent purchases At the time of registration, it is also possible to configure to record retrospectively access / purchase results recorded via the cookie of the purchase web page of the same terminal as purchase history.
  • the purchased net itself is registered at a place such as a member-oriented shopping mall or web shopping of a credit card company, it is possible to divert the registered user attribute when registered in the shopping mall.
  • user attribute registration items at the time of diversion information and new purchase may be mixed and used as user attributes.
  • the registration can be configured to be web off-line (postcard, letter, e-mail, etc.). In the case of offline registration, it may be configured to be input by a human input operation or by mechanical character reading.
  • the user attribute may be registered from a letter, a web site, etc., at the time of mail order membership registration.
  • the same is true for mail order services made by credit card companies.
  • registration of the user attribute of the user who only accesses the advertisement can be registered from the advertisement registration registration application web screen or registered by mail when registering the push notification of the advertisement. It may be configured.
  • the registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
  • Embodiment 23 Second Purchasing Analysis Rule Holding Unit
  • the “second purchase analysis rule holding unit” analyzes external information, purchase history information, advertising / advertisement dispatch history information, and action / life log information in association with user identification information from the viewpoint of grasping the purchase status. Hold a second purchase analysis rule, which is a rule for acquiring purchase status information.
  • the second purchase analysis rule is used to generate information indicating the sense of distance between the specific product and the user, such as how much the user is willing to purchase the specific product with the behavior / life log information.
  • values that can be taken as a general action / life log without specifying the user are generally assigned values in relation to the purchase of a specific product, and stored in a database or the like.
  • Logs can be scored in relation to specific products. For example, when a specific car of company T is a specific product, the action / life log for visiting the car dealer is assigned a high value, and the dealer further raises the test ride of the car. It is the condition that the price is attached. Values need not be assigned to all behavior / lifelogs in relation to a specific product, as long as some values are assigned. Therefore, it is not necessary to design everything that has been acquired as the user's behavior / life log so as to have a meaning in relation to a specific product.
  • the relationship between the behavior / life log of many or one user and the purchase history information of many or one user is calculated by artificial intelligence etc. and added to the behavior / life log stored in the database. It is possible to update the value given in relation to the specific product. The calculation of the relationship may be analyzed for each user attribute.
  • Second purchase status information analysis acquisition unit is the same user identification information as the acquired external information associated with the user identification information, the purchase history information, the advertisement transmission history information, and the action / life log information.
  • the purchase status information is acquired based on the first purchase analysis rule associated with.
  • the function of the second purchase purchase situation information analysis acquisition unit is the same as that of the first purchase purchase situation information analysis acquisition unit shown in the twenty-second embodiment, and has already been described. It should be noted that how much weight the value calculated from the action / life log information is to be contributed to the value of the purchase situation information depends on the design concept of the system.
  • FIG. 64 is a diagram showing a hardware configuration of the twenty-third embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the twenty-third embodiment as shown in this figure the description of the programs which operate in common with the program of the twenty-second embodiment will be omitted.
  • the “second purchasing behavior / life log information acquisition program” newly added in this embodiment acquires behavior / life log information.
  • the “second purchase purchase situation analysis acquisition program” acquires purchase situation information from external information, purchase history information, advertising / advertisement dispatch history information, and action / life log information by analysis based on the second purchase analysis rule.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • action / life log information second Purchase analysis rules
  • Purchase status information, dialogue information, dialogue information selection rules for each user, selected dialogue information, various setting information such as communication not shown, etc. are held in non-volatile memory, loaded to main memory, and a series of programs executed Referenced and used.
  • FIG. 65 is a diagram illustrating an example of a process flow of the twenty-second embodiment.
  • Embodiment 24 ⁇ Embodiment 24 Outline of the Invention>
  • the interactive purchase promotion system of the twenty-fourth embodiment is characterized by having a function of determining the validity of the outputted dialogue information in addition to the feature described in the twenty-second embodiment or the twenty-third embodiment.
  • FIG. 66 is a diagram showing an example of a configuration of an interactive purchase promotion system according to an embodiment 23 subordinate to the embodiment 22.
  • the interactive purchase promotion system according to the twenty-third embodiment includes a first purchase user identification information holding unit (6601), a first purchase SNS user related information acquisition unit (6602), and a first purchase history information acquisition unit.
  • first purchase advertisement advertisement transmission information acquisition unit (6604), first purchase analysis rule holding unit (6605), first purchase purchase status information analysis acquisition unit (6606), first purchase dialogue information storage unit (6607 First purchase user classified dialogue information selection rule holding unit (6608), first purchase dialogue information selection unit (6609), first purchase dialogue information output unit (6610), purchase validity judgment rule holding unit (6611), And a purchase dialogue information validity judgment unit (6612).
  • the “purchase effectiveness determination rule holding unit” holds a purchase effectiveness determination rule which is a rule for determining whether the dialog information is valid based on the acquired purchase status information with respect to the output dialog information.
  • the purchase validity determination rule determines the validity based on the purchase status information of the specific product related to the purchase status information that is the cause of the selection of the output dialogue information. In particular, it is possible to estimate the effectiveness of the outputted dialogue information depending on how the sense of distance to the specific product (the strength of purchase intention of the specific product) based on the purchase status information of the specific product has changed.
  • the purchase history recorded in the purchase history information and the information indicating that the purchase has been completed, which is indicated by the purchase status information become the same information, and in this case only
  • the configuration may be such that the effectiveness of the dialogue information is determined based on this, and this configuration is substantially included in the present embodiment.
  • the “purchase effectiveness judgment rule” has a background purpose of how to improve or maintain the purchase situation based on the purchase situation information, and is dialogue information that has a positive impact to achieve the background purpose. It is a rule that determines the effectiveness of the dialog information in relation to a specific product from the viewpoint of whether it has been. Also in the purchase effectiveness determination rule, as in the interactive health promotion system and the interactive learning promotion system, it is conceivable that the effectiveness can be determined for the guidance dialogue and the evaluation for the negative reaction of the user. The guidance dialogue, the evaluation for the negative reaction of the user, and the description of the character types have already been described in the sixth embodiment.
  • ⁇ Embodiment 24 Purchase dialogue information validity judgment unit> The “purchase dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the purchase status information acquired for the dialogue information, and the purchase dialogue information validity judgment rule. .
  • the validity of the dialogue information is configured as indicated by a value. What is judged to be the most effective is, for example, "when there is a purchase of a specific product", "when there is a continuing purchase contract for a specific product”, etc. It can be rich in variety by arithmetic logic.
  • the expression format as a numerical value may be a numerical value without an upper limit, or the effectiveness may be expressed within a numerical range in which an upper limit and a lower limit are defined.
  • the effectiveness value may be configured not only to be positive but also to be negative. It is a case where the dialogue information becomes counterproductive to the purchase of a specific product. As an example, the value indicated by the purchase status information is lower than that before the output of the dialogue information.
  • the processing for judging the effectiveness of the dialogue information may be performed using the purchase history information instead of or in addition to the purchase status information.
  • FIG. 67 shows a hardware configuration of the twenty-fourth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs that configure the hardware of the twenty-fourth embodiment as shown in this figure the programs that operate in common with the twenty-second embodiment or the twenty-third embodiment have already been described, and the descriptions thereof will be omitted.
  • the “purchase effectiveness determination rule holding program” holds a purchase effectiveness judgment rule.
  • the “purchase dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the purchase validity judgment rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialogue information dialogue information selection rule by user
  • selected dialogue information dialogue information selection rule by user
  • purchase validity judgment rule purchase validity judgment result
  • various setting information such as communication not shown, etc.
  • FIG. 68 is a diagram illustrating an example of a process flow of the twenty-fourth embodiment.
  • the interactive purchase promotion system according to the twenty-fifth embodiment is characterized in that statistical dialogue information validity judgment is performed by statistical processing of big data.
  • FIG. 69 is a diagram showing an example of configuration of the interactive purchase promotion system of the twenty-fifth embodiment.
  • the interactive purchase promotion system of the twenty-fifth embodiment includes a first purchase user identification information holding unit (6901), a first purchase SNS user related information acquisition unit (6902), and a first purchase history information acquisition unit.
  • the "purchase effectiveness statistical processing rule holding means” holds the purchase effectiveness statistical processing rule, which is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute to the population Means that the purchase dialogue information validity judgment unit has. “A part of the population is common to each common user attribute” is a representative example of a user having a common user attribute that wants to promote the purchase of a specific product. This is because the effectiveness of the dialogue information can not be compared if the specific products do not have commonality. However, they do not necessarily have to be identical products, as long as they have a certain degree of commonality.
  • a specific product having a purchase history is common
  • a specific product having an advertisement transmission history is common
  • a user is a population of users having common user attributes. Therefore, the narrowing down may be performed on the condition that not only the specific product is common but also the other user attributes are common, and the population may be divided into smaller pieces.
  • statistics do not necessarily have the same sense of distance to a specific product, that is, they are not necessarily in the same purchase status (indicated by purchase status information).
  • the process is statistically processed including the past purchase status information of the user of the population, the corresponding dialogue information output as well as the change of the purchase status information obtained as a result of outputting the dialogue information.
  • the effectiveness associated with the dialogue information is statistically processed without acquiring the change of the purchase status information. It may be configured. Further, instead of or in addition to the purchase status information, purchase history information may be used to perform statistical processing of the effectiveness of the dialogue information.
  • the “purchase effectiveness statistical processing rule” is a rule for acquiring statistical effectiveness of certain dialogue information, and a rule for determining the sameness of dialogue information different for each user arranged in accordance with the user attribute. And is composed of two. In addition, it is conceivable that the purchase effectiveness statistical processing rule can be configured so as to be able to judge statistical effectiveness also for the introduction dialogue and the evaluation for the negative reaction of the user. The introductory dialogue information, the evaluation for negative reaction, and the description of the type of personality have been described in the sixth embodiment of the interactive health promotion system.
  • the population can be further narrowed according to the user attribute in the population of users who have a purchase history of a specific product. For example, it is a user having an attribute of owning an item that may be replaced with a specific item. It is also possible to perform statistical analysis according to the user's attribute further narrowed down in this way, and even if it is dialogue information which is not recognized as effective individually (even dialogue information whose effect is still unknown) The dialogue information confirmed to be highly effective for the user having the statistical specific attribute enables the system to make a selection of the dialogue information actively or at a timing.
  • the user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule.
  • the user attribute information held in the attribute information holding unit may be updated.
  • a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information.
  • a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained.
  • the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character. Furthermore, it is possible to analyze the place where the user checked in, the photograph in which the user himself or herself is reflected, or the like, and diagnose the character.
  • Places to check in include commercial facilities (department stores, supermarkets, convenience stores, electronics stores, fast fashion, beauty salons, beauty salons), entertainment facilities, stadiums, restaurants, museums, parks, stations, ports, airports, national parks, You can analyze the character in public parks etc. For example, whether it is active, shopping enthusiasts, or no-obsessions.
  • photographs it is possible to analyze characters based on whether there are many group photographs, many photographs of one person, many scenery photographs, and many photographs of food.
  • the character analysis rules can be designed according to the design policy. It is also possible to analyze the character of the user according to the character of the friend connected by SNS.
  • the method of acquiring these user attribute information is the same as the method already described in the twenty-second and twenty-third embodiments.
  • Purchasing statistical dialogue information validity information acquiring means statistically makes the dialogue information valid at least in the population based on the dialogue information of a plurality of users and the held purchasing statistics processing rules.
  • a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute.
  • some attribute information of the user is held in association with the user identification information, and such attributes constitute a population, and the attributes are common.
  • Purchasing statistical dialog information validity information means that the dialog has effectiveness (from low effectiveness to high effectiveness) according to user attributes etc. as a result of processing statistically, and various interactions having each validity It is information that expresses the number of types of information as a function, and is generally normally distributed. In other words, the number of dialog information with the effectiveness "medium” is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high” and the effectiveness "low”. Is a data group distributed so as to decrease. By using this data, it can be known what kind of conversation information exerts what degree of effectiveness, and it can be used as a computer.
  • FIG. 22 is one example of purchase statistical interaction information validity information, which has been described in the seventh embodiment.
  • FIG. 70 shows a hardware configuration of the twenty-fifth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs that configure the hardware of the twenty-fifth embodiment as shown in this figure the programs that operate in common with the twenty-fourth embodiment have already been described, and descriptions thereof will be omitted.
  • the “purchase effectiveness statistical processing rule holding program” holds a purchase effectiveness statistical processing rule.
  • the “purchasing statistical dialogue information validity information acquiring program” acquires purchasing statistical dialogue information validity information based on the purchasing effectiveness statistical processing rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialogue information dialogue information selection rule by user, selected dialogue information
  • purchase validity judgment rule purchase validity judgment result
  • purchase validity statistical processing rule purchase statistical dialogue information validity information, communication not shown, etc.
  • the setting information and the like are stored in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • FIG. 71 is a diagram illustrating an example of a process flow of the twenty-fifth embodiment.
  • the twenty-sixth embodiment ⁇ Embodiment 26 Outline of the Invention>
  • the interactive purchase promotion system according to the twenty-sixth embodiment is characterized in that, in addition to the feature described in the twenty-fourth embodiment or the twenty-fifth embodiment, the per-user dialogue information selection rule is updated based on the purchase effectiveness judgment result.
  • FIG. 72 is a diagram showing an example of a configuration of the interactive purchase promotion system of the twenty-sixth embodiment.
  • the interactive purchase promotion system according to the twenty-sixth embodiment includes a first purchase user identification information holding unit (7201), a first purchase SNS user related information acquisition unit (7202), and a first purchase history information acquisition unit.
  • the description of the common configuration with the twenty-fourth embodiment or the twenty-fifth embodiment will be omitted, and only the configuration unique to the present embodiment will be described.
  • the twenty-sixth user dialogue information selection rule updating unit updates the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit based on the purchase validity determination result. To update is to update the validity associated with the interaction information for each user. If there is a change in the user-by-user effectiveness conventionally associated with the dialogue information as a result of the effectiveness determination, processing for associating with the latest effectiveness is performed.
  • FIG. 25 is a diagram showing the function of the user-by-user dialogue information selection rule updating unit, and the outline has been described in the eighth embodiment. As a result, it becomes possible to select more effective dialogue information than before.
  • This selection is also a process of changing the priority selection order of the dialogue information stored in the dialogue information storage unit (including the first and the second).
  • the validity may be configured to be held separately for the validity determined based on the purchase status information, the validity determined based on other response dialogue information, and the information based thereon. Further, the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue. Further, the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
  • FIG. 73 is a conceptual diagram showing an outline of an operation of AI (Artificial Intelligence) for updating a selection rule in Embodiment 26.
  • AI Artificial Intelligence
  • the present interactive purchase promotion system holds user-specific dialogue information selection rules reflecting personal characteristics.
  • the individual characteristics of each user reflected here are the form of dialogue information such as wording in conversation, the contents of dialogue information corresponding to purchase situation information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc.
  • purchase status information D (7308) which has not been acquired in the past is acquired
  • selection of user-by-user dialogue information is performed by combining rules on purchase status information similar to the purchase status information D. .
  • the dialogue information (7309) “No?” Is selected and output.
  • the effectiveness of the selected dialogue information is considered to be low, and two points are obtained as the purchase dialogue information validity judgment result (7311).
  • a new rule (7312) is selected for dialogue information that "do not look at the promotion video?
  • the updated user-by-user dialog information selection rule is acquired, and the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit is updated.
  • FIG. 74 shows a hardware configuration of the twenty-sixth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs that configure the hardware of the twenty-sixth embodiment as shown in this figure the programs that operate in common with the twenty-fourth embodiment or the twenty-fifth embodiment have already been described and descriptions thereof will be omitted.
  • the "purchased user dialog information selection rule update program” updates the user dialog information selection rule based on the purchase validity determination result.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialogue information, dialogue information selection rule by user, dialogue information selected, purchase validity judgment rule, purchase validity judgment result, dialogue information selection rule by update user, various setting information such as communication not shown, etc. are nonvolatile memory It is stored in the main memory, loaded into the main memory, and referenced and used when executing a series of programs.
  • FIG. 75 is a diagram illustrating an example of a process flow of the twenty-sixth embodiment.
  • Embodiment 27 ⁇ Embodiment 27 Outline of the Invention>
  • the interactive purchase promotion system of the twenty-seventh embodiment adds the feature of the twenty-fifth embodiment or the twenty-fifth embodiment to the basic feature of the twenty-sixth embodiment, based on the statistical dialogue information validity information, in the user-by-user dialogue information selection rule holding unit. It is characterized in that the user-by-user dialogue information selection rule held is updated.
  • Embodiment 27 Configuration of the Invention
  • FIG. 76 is a diagram showing an example of the configuration of the interactive purchase promotion system of the twenty-seventh embodiment.
  • the interactive purchase promotion system of Embodiment 27 includes a first purchase user identification information holding unit (7601), a first purchase SNS user related information acquisition unit (7602), and a first purchase history information acquisition unit.
  • first advertising advertisement transmission history information acquisition unit (7604), first purchase analysis rule holding unit (7605), first purchase purchase status information analysis acquisition unit (7606), first purchase dialogue information storage unit (7607) First purchase user specific dialogue information selection rule holding unit (7608), first purchase dialogue information selection unit (7609), first purchase dialogue information output unit (7610), purchase validity judgment rule holding unit (7611), Purchase dialogue information validity judgment unit (7612), purchase validity statistical processing rule holding means (7613), purchase statistical dialogue information validity information acquisition means (7614), purchase statistical user Story information selection rules update section (7615), consisting of.
  • the description of the configuration common to the twenty-fifth embodiment or the twenty-sixth embodiment based on the twenty-fifth embodiment will be omitted, and only the configuration unique to the present embodiment will be described.
  • ⁇ Embodiment 27 purchase statistical user-specific dialogue information selection rule updating unit>
  • the “Purchasing statistical user-by-user dialogue information selection rule updating unit” updates the user-by-user dialogue information selecting rule held in the user-by-user dialogue information selecting rule holding unit based on the acquired purchasing statistical dialogue information validity information .
  • the modification of the embodiment 26 is basically the same.
  • Embodiment 27 Hardware Configuration FIG. 77 shows a hardware configuration of the twenty-seventh embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the twenty-seventh embodiment as shown in this figure the program operating in common with the twenty-fifth embodiment or the twenty-sixth embodiment is already explained and the explanation thereof is given. I omit it.
  • the “purchasing statistical user-specific dialogue information selection rule update program” updates the user-specific dialogue information selection rule based on the purchasing statistical dialogue information validity information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialogue information dialogue information selection rule by user, selected dialogue information, purchase validity judgment rule, purchase validity judgment result
  • purchase validity statistical processing rule purchase statistical dialogue information validity information
  • update user dialogue information Various setting information and the like such as selection rules and communications (not shown) are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • FIG. 78 is a diagram illustrating an example of a process flow of the twenty-seventh embodiment.
  • Embodiment 28 ⁇ Embodiment 28> Outline of the Invention>
  • the twenty-eighth embodiment is an invention which describes the method of the twenty-second embodiment in a method, and basically the category of the invention of the twenty-second embodiment is expressed as a computer operation method.
  • Embodiment 28 Configuration of the Invention
  • a purchasing SNS user related information acquiring step (8001) for acquiring SNS related information of a user and a purchasing history information acquiring step (8002) for acquiring purchasing history information.
  • Purchase advertisement advertisement transmission history information acquiring step (8003), purchase condition information is stored using purchase analysis rules, external information, purchase history information and advertisement advertisement transmission history information held
  • Purchase purchase situation information analysis acquisition step (8004) purchase dialogue information selection step (8005) for selecting dialogue information to be output based on purchase user classified dialogue information selection rule, purchase dialogue information output for outputting selected dialogue information And step (8006).
  • the twenty-ninth embodiment ⁇ Outline of the invention according to the twenty-ninth embodiment> is an invention which describes the method of the twenty-second embodiment in a method, and basically, the category of the invention of the twenty-second embodiment is expressed as an operation program of a computer.
  • Embodiment 29 Configuration of the Invention
  • the configuration of the operation program of the interactive purchase promotion system shown in the twenty-ninth embodiment is the same as the configuration shown in FIG. The description of each configuration is omitted since it has been described in the twenty-eighth embodiment.
  • Embodiment 30 The interactive purchase promotion system shown in the embodiment 30 is a user having advertisement advertisement transmission history information of a specific product in place of the user having the purchase history of the specific product in addition to the features described in the embodiment 22 to the embodiment 27. It is an interactive purchase promotion system
  • Embodiment 30 ⁇ Embodiment 30> Outline of the Invention>
  • the interactive purchase promotion system uses the purchase history information (including the case where there is no purchase history) and advertisement advertisement transmission history information in addition to the user's utterance information and browsing information in the SNS, and uses the user's purchase Acquire purchase status information that indicates the increased motivation toward the target, and strengthen the user's purchase motivation by outputting to the SNS the dialogue that was in the purchase status that is the degree of the user's current purchase.
  • the attributes of the user are preferably stored in the system, and registration of the user attribute of the user who has just accessed the advertisement is registered from the advertisement registration registration web screen when registering the push notification of the advertisement. Or, it may be configured to register by mail.
  • a cookie to a computer that browses an advertisement, thereby acquiring various information performed on the computer and acquiring a user attribute stored in the computer.
  • the registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
  • Embodiment 30 Configuration 1 of the Invention
  • the configuration 1 of the invention of the interactive purchase promotion system of the embodiment 30 is basically such that the second in the embodiment 22 in FIG. 60 is replaced with a third.
  • the interactive purchase promotion system of the embodiment 30 includes a third purchase user identification information holding unit, a third purchase SNS user related information acquisition unit, a third purchase history information acquisition unit, a third purchase advertisement advertisement transmission history information acquisition unit, a third Third purchase analysis rule holding unit, third purchase purchase status information analysis acquisition unit, third purchase dialogue information storage unit, third purchase user classified dialogue information selection rule holding unit, third purchase dialogue information selection unit, third purchase dialogue information And an output unit.
  • the configuration 2 of the invention of the interactive purchase promotion system of the embodiment 30 is basically such that the second of the embodiment 23, FIG. 63 is replaced by a fourth.
  • the interactive purchase promotion system according to configuration 2 of the invention of the embodiment 30 includes a fourth purchase user identification information holding unit, a fourth purchase SNS user related information acquisition unit, a fourth purchase history information acquisition unit, and a fourth purchase advertisement advertisement dispatch history.
  • Embodiment 30 Configuration of the Invention and Others
  • the embodiment described above In addition to the configuration 1 of the invention and the configuration 2 of the invention, the additional configuration to the embodiment 22 and the embodiment 23 described in the embodiment 24, the embodiment 25, the embodiment 26 and the embodiment 27 in the same manner.
  • the configuration may be added.
  • Embodiment 30 Third Purchasing User Identification Information Holding Unit Fourth Purchasing User Identification Information Holding Unit
  • the “third purchase user identification information holding unit, the fourth purchase user identification information holding unit” holds user identification information that identifies a user having advertisement advertisement transmission history information of a specific product using an SNS.
  • the other points are the same as the description described in the first and second purchase user identification information holding units.
  • Embodiment 30 Other Configuration In the embodiment 30, the other configuration is basically the same as the invention described in any one of the embodiment 22 to the embodiment 27.
  • the thirty-first embodiment ⁇ Embodiment 31> Outline of the Invention> is an invention related to an interactive learning promotion system.
  • the invention of the present embodiment acquires the validity of the outputted dialogue information from the user's response dialogue information to the outputted dialogue information. It is characterized by
  • Embodiment 31 Configuration of the Invention
  • One example of the configuration of the interactive learning promotion system of the embodiment 31 is the configuration of the embodiment 12 shown in FIG. 36, the configuration of the embodiment 13 shown in FIG. 39 or the embodiment 14 shown in FIG. Based on this, the learning response dialogue information acquiring unit, the learning response validity judgment rule holding unit, and the learning response dialogue information validity judging unit are newly added.
  • the description of the configuration common to any one of the twelfth to sixteenth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
  • the “learning response dialogue information acquisition unit” acquires response dialogue information for the outputted dialogue information.
  • the response dialogue information is information indicating the reaction of the user to the dialogue information.
  • response dialogue information as character information output by the user through SNS, learning behavior of the user appearing in learning history information and learning effect information, response dialogue information by voice uttered by the user, life log information such as user's heart rate and brain waves
  • the response dialogue information obtained as (1), the response dialogue information on the user's action that can be incorporated into the system from GPS or other external information devices, etc. can be considered.
  • the present interactive learning promotion system can also be configured to issue a question to confirm which utterance (interaction information) of the present interactive learning promotion system is the response dialogue information of the user.
  • interaction information utterance
  • the response dialogue information can be included in the learning SNS user related information itself or can be included in the dialogue information stored in the dialogue information storage unit. Furthermore, since the user's individuality and interaction style are directly expressed in the response dialogue information, it is possible to use it for analysis of user attributes or to store it as user attribute information.
  • the present system is structured such that when the system outputs the dialogue information, the user freely responds to the dialogue information.
  • the user's response dialogue information to the outputted dialogue information does not have to be acquired at the timing close in time, and it is also conceivable that the user outputs the response dialogue information to the output several days ago.
  • the user's response dialogue information to the outputted dialogue information does not have to be in a one-to-one relationship, and any configuration of one-to-many, many-to-one, and many-to-many can be considered.
  • it is considered to associate the output dialogue information with the response dialogue information sent by the user until the next dialogue information is outputted.
  • the system can output dialogue information of an advice that recommends the user to perform an action through an introduction dialogue toward one background goal.
  • the user's preferred language, expression method, and conversation method can be considered as a part of the interactive mode. For example, “starting with the weather, talk about today's mood and the schedule after tomorrow, It is conceivable that the user is made aware of what action it takes today to be rational or effective, and advice is given to proceed with the action.
  • a series of user response dialogues which are recognized as one story, recognized in a unit of an output dialogue block, and acquired in the process, starting from the story of the weather and giving advice to proceed with the action It is conceivable to associate with information.
  • Embodiment 31 Learning Response Validity Determination Rule Holding Unit is a rule that determines whether the dialog information output based on the response dialog information acquired with respect to the output dialog information is valid or not. Hold.
  • Learning response validity judgment rule is a rule that judges the effectiveness of the output dialogue information by judging from the dialogue information including the utterance of the question whether the user has taken action / thought according to the dialogue information. is there. This is a system for judging the validity of the outputted dialogue information depending on whether the user's response dialogue information to the outputted dialogue information is a positive reaction or a negative reaction.
  • types of expressions that can be judged as positive reactions for example, speech indicating intention, speech accepted, speech agreeing, speech actively making suggestions Set goals, say etc. and types of expressions that can be judged as negative reactions (expressions of rejection, unwilling expressions, excuses, negative utterances, late utterances, unresponsiveness (unread case and read) In some cases, etc., etc.), and in some cases, it is conceivable to classify the expression into one or more validity judgment types of neutral expression types (for example, greeting of the weather, talks, talks, etc.). The number of types and the number of divisions of this classification can be set based on the operation policy of the system.
  • the step of classifying the acquired response dialogue information into each type may be performed at the stage of acquisition of the learning response dialogue information acquisition unit, or the learning response validity judgment rules possessed by the learning response validity judgment rule holding unit It may be content. In any configuration, it is necessary to determine the sameness between the response dialogue information and the validity judgment type in order to distribute the response dialogue information as shown below to the validity judgment type. It will have. In the following, it is assumed that the learning response validity judgment rule holding unit classifies the acquired dialogue information into each type.
  • the learning response dialogue information validity determination rule is composed of at least a rule for determining the meaning content of the response dialogue information and a rule for judging the validity of the outputted dialogue information. Furthermore, when the rule for classifying the semantic content of the response dialogue information into the validity judgment type is independently provided, the rule for classifying the semantic content of the response dialogue information into the validity judgment type is the meaning of the response dialogue information It may be considered to be configured to be included in either the rule for determining the content or the rule for determining the validity of the output interaction information.
  • the user's response dialogue information is issued by the user and can not be managed and controlled by the system. Therefore, what word is used, what expression is made, and what kind of interactive manner is sent out I have not decided. For example, as a message to convey the fact that "I do not want to study”, various expressions such as “Don't study”, “I hate it”, “I don't say domestic”, “I refuse”, “I do not do it”, “I am harmless” It is possible to use Rules for specifying that these expressions are all "negative expressions” become rules for determining the semantic content of the response dialogue information.
  • the manner and width of the category of meaning contents can be set based on the system operation policy. This width may also be configured to be selectable hierarchically.
  • the highest level is the semantic content of the user's response dialogue, and there is an expression in the case of direct expression under it, and further, various subordinate expressions in polite language, polite expression, respect It is conceivable that there are expressions of words, equal words, and imperative forms, and further, there are various expressions by dialects and the like below them, and various indirect expressions (folds, metaphors etc.) below them. For example, using the above example, "does not do” will be acquired as various indirect expressions, and it will fall under the standard word “does not do” because it is not specially processed as an expression method such as dialect etc.
  • an evaluation value of the degree of the strength of the response on the validity determination type with respect to the dialog information of the user is calculated for each element of the validity determination type
  • As a method of measuring the strength of the reaction on the effectiveness judgment type it is conceivable to calculate the method by comprehensively judging the score while giving a score in advance to options of various stages selected in the identity confirmation .
  • it may be considered that the weighting of various stages in calculating the strength of the reaction on the effectiveness judgment type is made to differ for each user.
  • the numerical value of the strength of the response on the validity judgment type acquired in this manner is the validity judgment result. If the information corresponds to a neutral expression type, the information for judging the effectiveness may be insufficient, and the judgment result may be that the effectiveness can not be judged.
  • one response dialogue information may contain expressions to be classified into a plurality of types
  • the effectiveness judgment result is calculated from the evaluation value of the degree of the response strength on the plurality of acquired effectiveness judgment types.
  • check points such as the use of conjunctions such as “but”, “but” and “yappari”, the composition of the entire statement such as the first and second sentences, the composition of the sentence such as the beginning of the sentence and the end of the sentence, etc.
  • weighting may be made different at the time of calculating the effectiveness judgment result.
  • the difference in weighting by rank can be a common value by the system, or can be set to be different for each user according to the user attribute.
  • the expressions in the above example are expressions that are used other than when you do not want to study. For example, if a user who is studying for two hours always outputs dialogue information that recommends that they stop studying and sleep because they seem to be ill, "do not be evident” “don't fool” "notice” "fuzzing" For some of the above expression examples such as, it is an expression representing "the intention to continue studying.” In this case, judging as a negative expression as an effectiveness judgment type in the sense that it does not follow the response dialogue information can be considered as a simple judgment. However, in relation to the background purpose of this interactive learning promotion system that makes learning habitual, it is also possible to judge that regular learning habits are attached.
  • an evaluation rule of effectiveness evaluation in relation to the background purpose is provided. It is also possible.
  • objectively matching to the background purpose means to formally promote regular study behavior.
  • the fact that it does not conform to the background purpose means that it does not formally promote regular study behavior.
  • the evaluation value of the degree of response strength in positive and negative background purpose validity judgment similar to the effectiveness judgment type of the meaning contents of the response dialogue information Will be obtained.
  • the response type of the meaning contents of the response dialogue information is a positive / negative inverted reaction on the background purpose validity judgment. An evaluation value of the degree of strength will be obtained.
  • the weightings of these two elements may be different in the determination.
  • the difference in weighting may be commonly set in the system, or may be different depending on the user attribute.
  • the evaluation value of the degree of the response strength on the effectiveness judgment type the strength of the reaction on the background purpose effectiveness judgment It is considered that the evaluation value of the degree of is set to 2 to 3.
  • the response on the effectiveness judgment typology is strong Value of the degree of response strength on effectiveness judgment typology, with emphasis on importance: Background purpose It can be considered that the evaluation value of the degree of reaction strength on effectiveness judgment is 3 to 2 .
  • This judgment can be made by comparing the evaluation value of the degree of the response strength on the effectiveness judgment type of the response dialogue information.
  • the learning effectiveness judgment rule or / and the learning history effectiveness described above A method of calculating using a value calculated by the same rule as the determination rule can be considered.
  • Learning response dialogue information validity judgment unit judges the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the learning response validity judgment rule . It is conceivable that the user and the interactive learning promotion system perform the output of the dialogue information and the acquisition of the response dialogue information multiple times until the user executes the certain learning action. The effectiveness of the output dialogue may be performed on a series of dialogue chunks for executing a certain action for a plurality of times of dialogue information, or may be performed in a one-to-one correspondence for each dialogue. It may be judged by both parties.
  • the present interactive learning promotion system defines a purpose of causing a certain action to be performed, and repeats a plurality of approaches as part of an interactive form according to the user's attributes until it is realized. It is possible to be configured as having the above-mentioned rule not to give up or / and the rule not to give up. If it is a user who needs to be persuaded, it may be possible to repeat the same thing over and over again, or to output dialogue information that explains the rationality of the action, and even if it is a type of user who refuses to ask again and again For example, it will output dialogue information asking you to act with that hand. Therefore, the system can recognize a certain purpose, start a conversation, and finally obtain a result of realization of the objective realization as a series of phrases.
  • Embodiment 31 Hardware Configuration
  • the hardware configuration of the embodiment 31 is the configuration of the embodiment 12 shown in FIG. 37, the configuration of the embodiment 13 shown in FIG. 40 or the embodiment 14 shown in FIG. 43 (however, the third learning curriculum information acquisition unit is not an essential configuration). Based on). The description of the program which performs the common operation with any one of the twelfth to sixteenth embodiments is omitted.
  • the “learning response dialogue information acquisition program” newly added in the present embodiment acquires the user's response dialogue information corresponding to the outputted dialogue information.
  • the “learning response validity determination rule holding program” holds a learning response validity determination rule.
  • the “learning response dialogue information validity judgment program” judges the validity of the outputted dialogue information based on the learning response validity judgment rule.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • Non-volatile memory holds various setting information etc., such as user-specific dialogue information selection rule, selected dialogue information, selected dialogue information, response dialogue information, learning response validity judgment rule, learning response validity judgment result, communication not shown, etc. , And referenced and used during a series of program execution.
  • a response dialog information acquisition step of acquiring response dialog information to the output dialog information, a learning response validity judgment rule holding step of holding a learning response validity judgment rule, and a learning response validity as steps newly added in the present embodiment A learning response dialogue information validity judgment step of judging the validity of the outputted dialogue information based on the sex judgment rule.
  • Embodiment 32 ⁇ Embodiment 32 Outline of the Invention>
  • the present embodiment is an invention related to an interactive learning promotion system.
  • the invention of the present embodiment statistically processes the validity of the output dialogue information acquired based on the response dialogue information.
  • learning response effective processing rule holding means and learning response statistical interaction information effectiveness information obtaining means for obtaining learning response statistical interaction information validity.
  • ⁇ Embodiment 32 Configuration of the Invention>
  • One example of the configuration of the interactive learning promotion system of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 36, the configuration of the embodiment 13 shown in FIG. 39 or the embodiment 14 shown in FIG. It is not a required configuration.
  • the description of the configuration common to any one of the twelfth to sixteenth embodiments is omitted.
  • the configurations newly added in this embodiment are a learning response effectiveness statistical processing rule holding means, and a learning response statistical dialogue information effectiveness information acquiring means.
  • Training response effectiveness statistical processing rule holding means is a means possessed by the learning response dialogue information validity judgment unit, and the effectiveness of dialogue information of a plurality of users is partially shared by the user with respect to the population Holds the learning response effectiveness statistical processing rule, which is the rule to perform statistical processing every time.
  • the statistical processing described in the seventeenth embodiment described above is used to determine the effectiveness using response dialogue information, and the learning effect information and the learning history information are replaced by response dialogue information. The rest is common.
  • Embodiment 32 Learning Response Statistical Dialogue Information Validity Information Acquisition Means
  • the “learning response statistical dialogue information validity information acquiring means” statistically generates at least the effectiveness of the dialogue information on the basis of the dialogue information of a plurality of users and the learning response validity statistical processing rules held.
  • a part of the group is a means included in the learning response dialogue information validity determining unit for acquiring learning response statistical dialogue information validity information determined for each common user attribute.
  • Embodiment 32 Hardware Configuration
  • the hardware configuration of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 37, the configuration of the embodiment 13 shown in FIG. 40 or the embodiment 14 shown in FIG. 43 (however, the third learning curriculum information acquisition unit is not an essential configuration). Based on).
  • the description of the program which performs the common operation with any one of the twelfth to sixteenth embodiments is omitted.
  • the program that is newly added in the present embodiment, "the learning response statistical processing rule holding program” holds the learning response statistical processing rule.
  • the “learning response statistical dialogue information validity information acquiring program” acquires learning response statistical dialogue information validity information based on a learning response statistical processing rule.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information, learning analysis rules, learning status information, dialogue information .
  • User-specific dialogue information selection rule selected dialogue information, response dialogue information, learning response validity judgment rule, learning response validity judgment result, learning response statistical processing rule, learning response statistical dialogue information validity information, communication not shown Etc.
  • One example of the process flow of the interactive learning promotion system of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 38, the configuration of the embodiment 13 shown in FIG. 41 or the embodiment 14 shown in FIG. Part is not an essential part of the process)).
  • the description of the steps for performing the common information processing with any one of the twelfth to sixteenth embodiments is omitted.
  • a learning response validity statistical processing rule holding sub step holding learning response validity statistical processing rules, and learning response statistical dialogue information validity based on the learning response validity statistical processing rules Learning response statistical dialogue information validity information acquiring substep for acquiring information.
  • the thirty-third embodiment Outline of the Invention Embodiment 33 is an invention related to an interactive learning promotion system.
  • the user-by-user dialogue information selection rule is changed based on the learning response dialogue information validity judgment result.
  • Embodiment 33 Configuration of the Invention> An example of a structure of the interactive promotion system of Embodiment 33 is based on the structure of Embodiment 31 or Embodiment 32. The description of the common structure with Embodiment 31 or Embodiment 32 is omitted. The configuration newly added in the present embodiment is the learning response user-by-user dialogue information selection rule updating unit.
  • the “learning response user-by-user dialogue information selection rule updating unit” is a user-by-user dialogue information selecting rule holding unit based on the determination result of the learning response dialogue information validity determining unit described in the thirty-second embodiment. Update the dialogue information selection rule.
  • the dialog information whose effectiveness is relatively low is less likely to be selected, and the situation to be selected decreases (if the dialog information is associated with the hierarchical structure of the acquired learning status information, the association is When the effectiveness is relatively high, the reverse process is performed. Basically, the same process as in Embodiment 18 is performed except that the response dialogue information is used.
  • the hardware configuration of the thirty-third embodiment is based on the hardware configuration of the thirty-first or thirty-second embodiment.
  • the description of the program that performs the same operation as in the thirty-first embodiment or the thirty-second embodiment will be omitted.
  • a new program to be added in the present embodiment "learning response user-specific dialog information selection rule update program" updates the user-specific dialog information selection rule based on the validity determination result.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • An example of the process flow of the interactive learning promotion system of the embodiment 33 is based on the process flow of the embodiment 31 or the embodiment 32.
  • the description of the steps for performing the information processing in common with Embodiment 31 or Embodiment 32 will be omitted.
  • a learning response-by-user dialog information selection rule updating step of updating the user-by-user dialog information selection rule based on the validity determination result.
  • Embodiment 34 is an invention related to an interactive learning promotion system.
  • the learning response statistical interaction information by user for updating the user interaction information selection rule based on the learning response statistical interaction information validity judgment information
  • a selection rule updating unit is provided.
  • ⁇ Embodiment 34 Configuration of the Invention>
  • An exemplary configuration of the interactive learning promotion system according to the thirty-fourth embodiment is based on the thirty-second embodiment or the thirty-third embodiment based on the thirty-second embodiment.
  • the description of the common structure with Embodiment 32 based on Embodiment 32 or Embodiment 32 is omitted.
  • the configuration newly added in the present embodiment is a learning response statistical user-specific dialogue information selection rule updating unit.
  • ⁇ Embodiment 34 Learning response statistical user-specific dialogue information selection rule updating unit>
  • the function of the “learning response statistical user-specific dialogue information selection rule updating unit” updates the user-specific dialogue information selection rule based on the learning response statistical dialogue information validity information of the embodiment 32.
  • the same process as described above is performed for the update.
  • the process is basically the same as that of the nineteenth embodiment except that the response dialogue information is used.
  • the hardware configuration of the thirty-fourth embodiment is based on the hardware configuration of the thirty-second embodiment or the thirty-third embodiment.
  • the description of a program which performs the same operation as in Embodiment 32 or Embodiment 33 subordinate to Embodiment 32 will be omitted.
  • the program newly added in the present embodiment “Learning Response Statistical User-specific Dialogue Information Selection Rule Update Program,” updates the user-specific dialogue information selection rule based on learning response statistical dialogue information validity information.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information, learning analysis rules, learning status information
  • dialogue information Individual user dialogue information selection rule Selected dialogue information Response dialogue information Learning response validity judgment rule Learning response validity judgment result Learning response statistical processing rule Learning response statistical dialogue information validity information
  • various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • Embodiment 35 is an invention related to an interactive purchase promotion system.
  • a purchase response dialogue information acquisition unit and a purchase response validity determination rule for determining the validity of dialogue information output based on the user's response dialogue information A holding unit and a purchase response dialogue information validity judging unit are characterized.
  • ⁇ Embodiment 35 Configuration of the Invention>
  • An example of the configuration of the interactive purchase promotion system according to the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 60 or the configuration of the twenty-third embodiment shown in FIG. It is the structure which newly has a rule holding
  • the description of the common configuration with any one of the twenty-second to twenty-fourth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
  • Embodiment 35 Purchase Response Dialogue Information Acquisition Unit
  • the “purchase response dialogue information acquisition unit” acquires response dialogue information for the outputted dialogue information.
  • the response dialogue information is information indicating the reaction of the user to the dialogue information.
  • Information on the user's behavior that can be incorporated into the present system, etc. can be considered.
  • the user's individuality and interaction style are directly expressed in the response dialogue information, it is possible to use it for analysis of user attributes or to store it as user attribute information.
  • the present system is structured such that when the system outputs the dialogue information, the user freely responds to the dialogue information. This point is the same as that described in the thirty-first embodiment.
  • the “learning response validity determination rule holding unit” holds a purchase response validity determination rule which is a rule for determining whether the dialog information is valid based on the response dialog information acquired for the output dialog information.
  • the “purchase response validity determination rule” determines the validity of the output dialogue information by judging from the dialogue information whether the user has taken the intended action by the dialogue information or whether the intended concept has been formed for the user It is a rule.
  • the dialogue information output for the purchase of the specific product It is a system that determines the effectiveness.
  • types of expressions that can be judged as positive reactions in relation to the specific product for example, a statement showing motivation
  • Type of expression that can be judged as a negative reaction in relation to a specific product speech to accept, speech to agree, speech to make a proposal actively, speech to set a goal, etc.
  • This method can be considered by classifying it into one or more validity judgment types. The number of types and the number of divisions of this classification can be set based on the operation policy of the system.
  • the step of classifying the acquired response dialogue information into each type may be performed at the stage of acquisition of the purchase response dialogue information acquisition unit, or the purchase response validity judgment rule possessed by the purchase response validity judgment rule holding unit It may be content. In any configuration, it is necessary to determine the sameness between the response dialogue information and the validity judgment type in order to distribute the response dialogue information as shown below to the validity judgment type. It will have. In the following, it is assumed that the purchase response validity judgment rule holding unit classifies the acquired dialogue information into each type.
  • the purchase response dialogue information validity judgment rule is constituted by at least a rule for determining the meaning content of the response dialogue information, and a rule for judging the validity of the dialogue information outputted for the purchase of a specific product. Be done. Furthermore, in the case where a rule for classifying the semantic content of the response dialogue information into the validity judgment type is independently provided in relation to the specific product, and the meaning content of the response dialogue information in the relationship with the specific product is the effectiveness judgment type It is conceivable that the rule to be classified into is included in either the rule for determining the semantic content of the response dialogue information or the rule for judging the validity of the outputted dialogue information. The details of the validity determination rule are the same as those described in the thirty-first embodiment and the like.
  • the “purchase response dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the purchase response validity judgment rule.
  • the specific content is the same as that of the thirty-first embodiment.
  • Embodiment 35 Hardware Configuration
  • the hardware configuration of the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 61 or the configuration of the twenty-third embodiment shown in FIG.
  • the description of the program which performs the common operation with any one of the twenty-second embodiment to the twenty-fourth embodiment will be omitted.
  • the "purchase response dialogue information acquisition program” newly added in the present embodiment acquires the user's response dialogue information corresponding to the outputted dialogue information.
  • the “purchase response validity determination rule holding program” holds purchase response validity determination rules.
  • the “purchase response dialogue information validity judgment program” judges the validity of the outputted dialogue information based on the purchase response validity judgment rule.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • purchase analysis rule purchase status information
  • Dialog information user-specific dialog information selection rules, selected dialog information, response dialog information, purchase response validity determination rules, purchase response validity determination results, various setting information such as communication not shown, etc.
  • Dialog information user-specific dialog information selection rules, selected dialog information, response dialog information, purchase response validity determination rules, purchase response validity determination results, various setting information such as communication not shown, etc.
  • An example of the process flow of the interactive purchase promotion system of the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 62 or the configuration of the twenty-third embodiment shown in FIG. The description of the steps for performing the information processing in common with the twenty-second embodiment to the twenty-fourth embodiment will be omitted.
  • the thirty-sixth embodiment ⁇ Embodiment 36 Outline of the Invention>
  • the present embodiment is an invention related to an interactive purchase promotion system.
  • the invention of this embodiment statistically processes the validity of the dialogue information outputted based on the response dialogue information. It is characterized by comprising purchase response effective processing rule holding means and purchase response statistical dialogue information validity information acquisition means for acquiring purchase response statistical interaction information validity information.
  • ⁇ Embodiment 36 Configuration of the Invention> An example of the configuration of the interactive purchase promotion system of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 60 or the configuration of the twenty-third embodiment shown in FIG. The description of the configuration common to any one of the twenty-second to twenty-fourth embodiments is omitted.
  • the configurations newly added in the present embodiment are purchase response effectiveness statistical processing rule holding means and purchase response statistical dialogue information validity information acquisition means.
  • Purchase response effectiveness statistical processing rule holding means is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute with respect to the population, and is a purchase response effectiveness statistical processing rule Is a means possessed by the purchase response dialogue information validity judgment unit which holds the The details are the same as those described in the twenty-fifth embodiment except that response dialogue information is used.
  • Purchasing statistical dialogue information validity information acquiring means statistically makes the dialogue information valid at least in the population based on the dialogue information of a plurality of users and the held purchasing statistics processing rules.
  • a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute.
  • Embodiment 25 is the same as Embodiment 25 except that response dialogue information is used.
  • Embodiment 36 Hardware Configuration
  • the hardware configuration of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 61 or the configuration of the twenty-third embodiment shown in FIG.
  • the description of the program which performs the common operation with any one of the twenty-second embodiment to the twenty-fourth embodiment will be omitted.
  • the program newly added in the present embodiment the “purchase response statistical processing rule holding program” holds the purchase response statistical processing rule.
  • the “purchase response statistical interaction information validity information acquisition program” acquires purchase response statistical interaction information validity information based on the purchase response statistical processing rules.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information purchase effect information
  • purchase analysis rule purchase analysis rule
  • purchase status information dialogue information
  • User-specific dialogue information selection rule selected dialogue information
  • response dialogue information purchase response validity judgment rule
  • purchase response validity judgment result purchase response statistical processing rule
  • purchase response statistical dialogue information validity information communication not shown Etc.
  • the flow of the thirty-sixth embodiment of the processing An example of the process flow of the interactive purchase promotion system of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 62 or the configuration of the twenty-third embodiment shown in FIG. The description of the steps for performing the common information processing in the twelfth to sixteenth embodiments is omitted.
  • a purchase response effectiveness statistical processing rule holding sub step which holds purchase response effectiveness statistical processing rules, and purchase response statistical interaction information effectiveness based on the purchase response effective statistical processing rules Purchase response statistical dialogue information validity information acquisition substep for acquiring information.
  • Embodiment 37 is an invention related to an interactive purchase promotion system.
  • the invention is characterized in that the user-specific dialogue information selection rule is changed based on the purchase response dialogue information validity judgment result.
  • ⁇ Embodiment 37 Configuration of the Invention>
  • the configuration of the interactive promotion system of the thirty-seventh embodiment is based on the thirty-fifth embodiment or the thirty-sixth embodiment, and further includes a purchase response user classified dialogue information selection rule updating unit.
  • the description of the common structure with Embodiment 35 or Embodiment 36 is omitted.
  • the characteristic configuration in the present embodiment is the purchase response user-based dialogue information selection rule updating unit.
  • this part updates the purchase response user-by-user interaction information selection rule using the validity of the response interaction information by user.
  • the purchase corresponding user-by-user pair information selection rule is updated based on the purchase response statistical interaction information validity information.
  • the basic process is the same as that of the twenty-sixth embodiment except that the response dialogue information is used.
  • Embodiment 37 Hardware Configuration
  • the hardware configuration of Embodiment 37 is based on Embodiment 35 or Embodiment 36.
  • the description of the program that performs the same operation as in the thirty-fifth embodiment or the thirty-sixth embodiment will be omitted.
  • the program newly added in the present embodiment “purchase response user by dialog user information update rule” updates the user dialog information selection rule based on the validity information.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • Embodiment 38 ⁇ Embodiment 38> Outline of the Invention Embodiment 38 is an invention related to an interactive purchase promotion system.
  • the purchase response statistical user-specific interaction information updating the user-specific interaction information selection rule based on the purchase response statistical interaction information validity judgment information
  • a selection rule updating unit is provided.
  • ⁇ Embodiment 38 Configuration of the Invention>
  • An exemplary configuration of the interactive purchase promotion system according to the thirty-eighth embodiment is based on the thirty-sixth embodiment or the thirty-seventh embodiment based on the thirty-sixth embodiment.
  • the description of the configuration common to any one of Embodiment 36 or Embodiment 37 based on Embodiment 36 will be omitted.
  • the configuration newly added in the present embodiment is a purchase response statistical user-specific dialogue information selection rule updating unit.
  • the “purchasing response statistical user-specific dialogue information selection rule updating unit” is an interaction by user based on the purchasing response statistical dialogue information validity information acquired by the purchasing response statistical dialogue information validity information acquiring unit of the thirty-sixth embodiment Update information selection rules.
  • Embodiment 37 is the same as Embodiment 37 except that response dialogue information is used.
  • Embodiment 38 Hardware Configuration
  • the hardware configuration of the thirty-eighth embodiment is based on the hardware configuration of the thirty-sixth embodiment or the thirty-seventh embodiment.
  • the description of a program which performs the same operation as in the thirty-sixth embodiment based on the thirty-sixth embodiment or the thirty-sixth embodiment will be omitted.
  • the program newly added in the present embodiment “purchase response statistical user-specific dialogue information selection rule update program” updates the user-specific dialogue information selection rule based on the purchase response statistical dialogue information validity information.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information purchase effect information
  • purchase analysis rule purchase status information
  • dialogue information User-specific dialogue information selection rule, selected dialogue information, response dialogue information, purchase response validity judgment rule, purchase response validity judgment result, purchase response statistical processing rule, purchase response statistical dialogue information validity information, update user classified A dialogue information selection rule, various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • Embodiment 39 ⁇ Embodiment 39> Outline of the Invention>
  • This system is intended to interactively promote purchase of a specific product for a user who has an advertisement transmission history of a specific product instead of a user having a purchase history of a specific product. Basically, it is the same as in Embodiments 35 to 38.
  • Embodiment 39 Configuration of the Invention
  • the configuration is basically the same as the invention described in the thirty-fifth through thirty-eighth embodiments, and the description will be omitted.
  • Interactive communication can indicate the directionality of the user's action, and can indicate effective actions in all human activities that depend on personal activities.
  • a health management application e.g., a learning promotion application, a sales promotion system, a care robot, a watching system, employment management, a configuration program in a welfare facility, a driving skill promotion program, a mental stability program for users of long distance transportation means such as airplane and It is possible to use for mental care system of the disaster victim at the time of disaster, management of the communication environment through the Internet, etc.

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Abstract

Le problème décrit par la présente invention est que, dans un système interactif qui est actuellement utilisé, il est possible de collecter simplement des informations d'utilisateur ou de produire un dialogue à partir du système uniquement par dialogue mécanique avec le système à l'aide d'une application dédiée, et un utilisateur ne peut pas éprouver les sentiments chaleureux ressentis lorsqu'il s'adresse à des êtres humains, par exemple. Il est difficile pour un utilisateur d'être influencé psychologiquement par une communication interpersonnelle, par exemple lorsqu'il est encouragé par quelqu'un, est pris en charge par quelqu'un, se fait du souci pour quelqu'un, est conseillé par quelqu'un, ou reçoit l'accord de quelqu'un. La solution selon l'invention porte sur un système interactif qui est apte à avoir un dialogue avec un utilisateur du système ayant des sentiments chaleureux comme si l'utilisateur s'était adressé à une personne, par l'analyse d'informations relatives à SNS sur un utilisateur, etc, par l'utilisation des informations analysées pour permettre l'analyse de l'état métallique de l'utilisateur, et par la dispensation de conseils à l'utilisateur par l'intermédiaire d'un SNS.
PCT/JP2018/035585 2017-09-28 2018-09-26 Système interactif de promotion de santé, système interactif de promotion d'apprentissage et système interactif de promotion d'achat Ceased WO2019065688A1 (fr)

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