JP2006285521A - Information re-notification system, terminal device, and information re-notification method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To perform renotification of information according to a user's information recognizability. <P>SOLUTION: An information recognizability estimation part 126 manages and estimates an information recognizability showing the degree that the user senses and recognizes the content of notified information by a Bayesian network model. A renotification determination part 124 determines, based on the estimation result of the estimation part 126, whether or not the notified information is renotified. The notified information is renotified according to the determination result of the determination part 124. By determining whether the notified information is renotified based on the estimation result of the user's information recognizability, whether information is received or not can be estimated without necessarily using a clear user's reaction indicating that information has been received. If it is determined that information has not been received, the notified information is renotified, whereby the possibility that the user recognizes information can be increased. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an information re-notification system, a terminal device, and an information re-notification method, and more particularly to an information re-notification system, a terminal device, and an information re-notification method for re-notifying information that has failed to be recognized among information presented to a user.

In general, when various information such as advertisement information is transmitted by Push-type transmission or the like, the user side that has received the information displays the received information on a display screen or outputs it as audio information. In that case, it is impossible for the transmission side of the information to know whether or not the displayed information is recognized by the user.
Among such advertising information, it is desirable to notify information that has a time limit such as a time service before the time zone, and if the user does not recognize it, notify the information again to be recognized. It is desirable. However, as described above, it is impossible for the information transmission side to know whether information or the like has been recognized by the user.

  By the way, various information notification devices such as personal computers (hereinafter abbreviated as PCs), PDAs (Personal Digital Assistance) and portable terminals such as cellular phones, televisions, radios, and car navigation systems are currently used. . Under such circumstances, many methods for controlling information notification based on the type of information, user behavior, surrounding conditions, and the like have been proposed.

For example, a certain information notification device has a means for adding priority to information and a means for determining importance according to the user's interest, and determines the order of displaying information and the detail level of individual information, Information is presented (see, for example, Patent Document 1). This information notification device has means for controlling the timing of collected information from the network.
Another information notification device has means for acquiring user situations from various information sources, adjusting the amount of information, and presenting the information in a timely manner according to the user's behavior. In addition, as a technique for acquiring appropriate information from a large amount of information, a Push type information notification technique that sends information that matches user preferences from the server, or information that matches user preferences is selected from the sent information. There are information filtering technology to be presented, agent technology to collect information from the network according to user's preference, and the like.

On the other hand, in the commercially available e-mail software, the e-mail that is not referred to by the receiving user is devised so that the receiving user can easily identify the e-mail. There is also a control that does not send a read message.
JP-A-9-81099

However, the information notification device according to the above prior art has the following problems. That is, the information notification device according to the above-described conventional technique adaptively controls notification at the time of information notification, and does not consider whether the notified information is recognized by the user.
The mail software is controlled according to explicit user interaction with the software. Therefore, it is assumed that there is an explicit user interaction with the notification device. For example, there is no explicit user interaction with information that is unilaterally displayed on the screen while flowing or switching. Whether the user has received is unknown. Since the information that has not been received is never displayed again, the user will not be able to recognize this information in the future, resulting in a disadvantage for the user or a disadvantage for the information notifier.
The present invention has been made to solve the above-described problems of the prior art, and an object of the present invention is to provide an information re-notification system, a terminal device, and an information It is to provide a notification method.

  The information re-notification system according to claim 1 of the present invention is an information re-notification system for re-notifying notified information which is information notified to a user, and the degree to which the user perceives and recognizes the content of the notified information. Information recognition degree estimation means for estimating information recognition degree indicating the information recognition degree (for example, corresponding to the information recognition degree estimation unit 126 in FIG. 1), and the notified information is notified again based on the estimation result of the information recognition degree estimation means Determining means (for example, corresponding to the re-notification determining unit 124 in FIG. 1), and notifying the notified information again according to the determination result of the determining means. If comprised in this way, re-notification of information will become possible according to a user's information recognition degree.

  An information re-notification system according to claim 2 of the present invention further includes, in claim 1, environmental status acquisition means for acquiring the environmental status of the user (for example, corresponding to the environmental user status management unit 160 in FIG. 1), The information recognition degree estimation means estimates the information recognition degree based on the environmental state of the user acquired by the environmental state acquisition means. If comprised in this way, after notifying a user of information, a user's information recognition degree will be judged based on a user's state at the time of notification, user reaction, etc., and re-notification will be performed based on the result Can do. In particular, information can be reliably transmitted to the user in the push-type information notification not caused by the user request.

  An information re-notification system according to claim 3 of the present invention is the information re-notification system according to claim 1 or 2, further comprising notified information storage means for storing the notified information (for example, corresponding to the notified information storage unit 132 in FIG. 1). In addition, when the determination result of the determination unit is to notify again, the notified information stored in the notified information storage unit is notified again. If configured in this way, once notified information is stored as it is, information can be re-notified easily.

An information re-notification system according to a fourth aspect of the present invention is the information re-notification system according to any one of the first to third aspects, wherein the information re-notification system is estimated based on the estimation result of the information recognition degree estimating means and An expected recognition information amount calculation means (for example, corresponding to the re-notification determination unit 124 in FIG. 1) for calculating an expected recognition information amount that is a recognized amount;
The determination means determines whether to notify the notified information again according to the expected recognition information amount calculated by the expected recognition information amount calculation means. Information can be re-notified more appropriately by determining whether to notify again according to the expected recognition information amount.

An information re-notification system according to claim 5 of the present invention is the information re-notification system according to claim 4, wherein the expected cognitive information amount storage means for storing the expected cognitive information amount calculated by the expected cognitive information amount calculation means (e.g. Corresponding to the information amount accumulating amount storage unit 128),
The determination means determines the notified information according to the expected recognition information amount newly calculated by the expected recognition information amount calculation means and the past expected recognition information amount stored in the expected recognition information amount storage means. It is characterized by determining whether to notify again. By reusing the expected information recognition amount calculated at the time of past re-notification determination, it is possible to add the expected information recognition amount for the same information presented multiple times, so even if each notification amount is small More accurate re-notification determination can be realized on the assumption that information is likely to be recognized.

  The information re-notification system according to claim 6 of the present invention is the information re-notification system according to any one of claims 1 to 5, wherein the determination unit retransmits the notified information according to the importance of the notified information. It is characterized by determining whether to notify. If comprised in this way, according to the importance of information, the possibility of a re-notification can be adjusted, important information can be re-notified reliably, and a user can be recognized.

The terminal device according to claim 7 of the present invention includes means (for example, corresponding to the information presentation management unit 204 in FIG. 1) for outputting information on notified information which is information presented to the user in the own device. And By outputting the information related to the notified information presented to the user from the user terminal, the information can be appropriately re-notified using the information.
The terminal device according to claim 8 of the present invention is the terminal device according to claim 7, which obtains and outputs user status information relating to the status of the user of the device (for example, corresponding to the status information data collection unit 206a in FIG. 1). Is further included. By outputting user status information and using it, the user's information recognition level is determined based on the user's status when the information is notified, user reaction, etc., and re-notification is performed based on the result. be able to.

  The information re-notification method according to claim 9 of the present invention is an information re-notification method for re-notifying notified information which is information notified to the user, and the degree to which the user perceives and recognizes the content of the notified information. An information recognition degree estimation step for estimating the information recognition degree, and a determination step for determining whether to notify the notified information again based on an estimation result obtained by the information recognition degree estimation step. In response, the notified information is notified again. If comprised in this way, re-notification of information will become possible according to a user's information recognition degree.

  The information re-notification method according to claim 10 of the present invention further includes an environmental state acquisition step of acquiring the environmental state of the user according to claim 9, wherein the information recognizing step is acquired in the environmental state acquisition step. The information recognition degree is estimated based on an environmental state of the user. If comprised in this way, after notifying a user of information, a user's information recognition degree will be judged based on a user's state at the time of notification, user reaction, etc., and re-notification will be performed based on the result Can do. In particular, information can be reliably transmitted to the user in the push-type information notification not caused by the user request.

The information re-notification method according to claim 11 of the present invention is the information re-notification method according to claim 9 or 10,
A notification information accumulation step for accumulating the notification information; and when the determination result in the determination step is to notify again, the notification information accumulated in the notification information accumulation step is notified again. It is characterized by doing. If configured in this way, once notified information is stored as it is, information can be re-notified easily.

An information re-notification method according to claim 12 of the present invention is any one of claims 9 to 11,
An expected recognition information amount calculating step of calculating an expected recognition information amount that is an amount estimated based on the estimation result in the information recognition degree estimation step and recognized for the notified information;
In the determination step, it is determined whether to notify the notified information again according to the expected recognition information amount calculated in the expected recognition information amount calculation step. Information can be re-notified more appropriately by determining whether to notify again according to the expected recognition information amount.

An information re-notification method according to claim 13 of the present invention further includes an expected recognition information amount accumulation step of accumulating the expected recognition information amount calculated in the expected recognition information amount calculation step in claim 12,
In the determination step, the notified information is again determined according to the expected recognition information amount newly calculated in the expected recognition information amount calculation step and the past expected recognition information amount accumulated in the expected recognition information amount accumulation step. It is characterized by determining whether to notify. By reusing the expected information recognition amount calculated at the time of past re-notification determination, it is possible to add the expected information recognition amount for the same information presented multiple times, so even if each notification amount is small More accurate re-notification determination can be realized on the assumption that information is likely to be recognized.

  The information re-notification method according to claim 14 of the present invention is the information re-notification method according to any one of claims 9 to 13, wherein in the determination step, the notified information is changed according to the importance of the notified information. It is characterized by determining whether to notify again. If comprised in this way, according to the importance of information, the possibility of a re-notification can be adjusted, important information can be re-notified reliably, and a user can be recognized.

  In short, in the present invention, in performing information re-notification, it is determined whether re-notification is performed in consideration of the user's state of information recognition by the user, and re-notification control is performed. Specifically, for users living in the real world where various information display terminals are scattered, or for users who have information display terminals, the state of receiving information by the user without requiring a clear user reaction It is estimated whether it has been received, and if it is determined that it has not been received, it is notified again. Here, the “information recognition degree” indicates the degree to which the user perceives and recognizes the content of information. This element is a relatively low-level element in the human information processing process, and is less dependent on the information content. As a result, in Proactive Push type information notification that did not occur in the conventional user-driven (request) type information notification, information that has failed to be received due to some state is detected and notified to the user again. Reception loss can be avoided.

  Specifically, the user status when the information is notified, for example, the user gaze status on the information display terminal, the task on the information terminal, the user task proficiency level, the user operation status, the information content (information urgency level, information Amount), information recognition speed, state change after notification, application change, and the like are estimated, and the information reception state by the user is estimated. Moreover, the user terminal which is a terminal device concerning this invention contains the arbitrary information notification apparatuses which can show information, for example, a display type apparatus. For example, a desktop PC, a television, an electronic signboard, an information window, a notebook PC, a PDA, a handheld terminal, a mobile phone, a wristwatch, a future notebook display, and the like are included as the information notification device.

  As described above, the present invention does not necessarily use an explicit user reaction that information has been received by estimating whether the user is aware of information and determining whether to notify the notified information again based on the estimation result. It is possible to increase the possibility of the user recognizing the information by estimating whether or not the information is received and notifying the notified information again when it is determined that the information is not received. There is an effect that lost information can be compensated.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that, in each drawing referred to in the following description, the same reference numerals are used for components having the same function, and repeated description is omitted.
(Configuration of information re-notification system)
FIG. 1 is a block diagram illustrating a configuration example of an information re-notification system according to the present embodiment. In the figure, an information re-notification system 10 according to the present embodiment includes a notification control server 100 for controlling re-notification, a user terminal 200 for receiving and referring to notification information by a user, and an information provider for transmitting notification information to the user. 300.

(Notification control server configuration)
The notification control server 100 estimates whether or not to perform re-notification by estimating a user state related to information re-notification, and is connected to the re-notification control unit 120 that makes a re-notification request according to the determination result, and is connected to the re-notification control unit 120 for notification. A server-side notification control unit 140 that performs control and an environmental user state management unit 160 that is connected to the re-notification control unit 120 and acquires and manages the user state are configured.
The re-notification control unit 120 in the notification control server 100 includes a re-notification determination unit 122 that determines whether to re-notify information by estimating a user state, and a re-notification determination result of the re-notification determination unit 122. It is configured to include a re-notification request unit 130 for transmitting a notification information re-accumulation request S102 for re-notifying the notified information based on the information S101, and a notified information accumulation unit 132 for accumulating the information notification request S103. Yes.

(Re-notification determination unit)
The re-notification determination unit 122 includes a re-notification determination unit 124 that determines whether or not to perform re-notification, an information recognition degree estimation unit 126 that estimates a user's state, and expected information that accumulates expected information recognition amount. The recognition amount storage unit 128 is included.
(Re-notification determination unit)
The re-notification determination unit 124 in the re-notification determination unit 122 outputs an information recognition degree estimation request S105 to the information recognition degree estimation unit 126 according to the presentation control information S104 input from the user terminal 200. Here, the presentation control information S104 is an identifier of notification information (that is, notified information) transmitted from the notification control server 100 and presented to the user, time information indicating the time when the notified information is notified to the user, and the like. It is composed of Further, the information recognition degree estimation request S105 includes an identifier of notified information, time (ie, presentation time) information when the notified information is notified to the user, and the like. Then, the re-notification determination unit 124 calculates the expected information recognition amount based on the information recognition level information S106 returned from the information recognition level estimation unit 126. The expected information recognition amount is an information amount estimated that the notified information is recognized by the user. This expected information recognition amount will be described later.

  Further, the re-notification determination unit 124 outputs a notified information length acquisition request S107 to the notified information storage unit 132, and acquires a response S108 including the information length of information corresponding to the identifier of the notified information and related meta information. To do. Further, the re-notification determination unit 124 obtains the expected information recognition amount for obtaining the expected information recognition amount (hereinafter referred to as the previous expected information recognition amount) when the expected information recognition amount storage unit 128 has notified the past. The request S109 is output, and the previous expected information recognition amount of information corresponding to the identifier of the notified information included in the previous expected information recognition amount acquisition request response S110 is acquired.

  The re-notification determination unit 124 then calculates the expected information recognition amount calculated in advance, the expected information recognition amount in consideration of the previous previous expected information recognition amount, the information length of the notified information, and the meta information of the notified information (important Degree information). By comparing these, the re-notification determination unit 124 determines whether or not to perform re-notification, and outputs re-notification determination result information S101 to the re-notification request unit 130. The re-notification determination result information S101 includes determination information for determining re-notification indicating “1” when notifying again and “0” when not re-notifying, and an identifier of notified information. Details will be described later.

  Further, the re-notification determination unit 124 outputs the expected information recognition amount accumulation deletion request S111 to the expected information recognition amount accumulation unit 128 after the above determination. In the case of re-notification, the expected information recognition amount accumulation / deletion request S111 includes a newly calculated expected information recognition amount and an identifier of notified information. On the other hand, when not notified again, the identifier of the notified information and the expected information recognition amount having a value of “0” are included in the expected information recognition amount accumulation deletion request S111.

(Information recognition estimation unit)
The information recognition level estimation unit 126 in the re-notification determination unit 122 performs management by a Bayesian network including information recognition level information S106 and a plurality of observable element information related to the information recognition level information S106. A Bayesian network is a model in which qualitative dependency relationships between a plurality of random variables are expressed by a graph structure, and a quantitative relationship between individual variables is expressed by a conditional probability. The Bayesian network and the observable element information constituting it will be described later.

  The information recognition level estimation unit 126 estimates information recognition level information in response to the information recognition level estimation request input from the re-notification determination unit 124, and returns the information recognition level to the re-notification determination unit 124. In estimating the information recognition degree, the information recognition degree estimation unit 126 outputs the environmental user state information acquisition request S119 to the environmental user state management unit 160. The environmental user state information acquisition request S119 includes the identifier of the observable element information to be acquired and the presentation time information at which the notified information is presented. On the other hand, as the return value of the environmental user status information acquisition request S119, the environmental user status information S120 is input from the environmental user status management unit 160 to the information recognition level estimation unit 126, and the information recognition level information is obtained by the Bayesian network estimation method. presume.

(Expectation information recognition amount accumulation part)
The expected information recognition amount accumulation unit 128 in the re-notification determination unit 122 receives the previous expected information recognition amount acquisition request from the re-notification determination unit 124, and the expected information recognition amount corresponding to the identifier of the notified information included in the request. To find out if is stored inside. If the information is accumulated, the expected information recognition amount information is returned to the previous expected information recognition amount information re-notification determining unit 124, and if not, “0” is returned.

  On the other hand, after the re-notification determination by the re-notification determination unit 124, the expected information recognition amount accumulation unit 128 receives an expected information recognition amount accumulation deletion request S111. As described above, in the case of re-notification, the expected information recognition amount accumulation / deletion request S111 includes the expected information recognition amount calculated for the determination together with the identifier of the notified information. Accumulate in the accumulation unit 128. If not notified again, the expected information recognition amount accumulation / deletion request S111 includes the identifier of the notified information and the expected information recognition amount of “0”, and has already been expected based on the identifier of the notified information. Whether the information recognition amount information is stored in the expected information recognition amount storage unit 128 is searched. If the expected information recognition amount storage unit 128 stores the expected information recognition amount information, the expected information recognition amount information is deleted.

  When the re-notification determination result information input from the re-notification determination unit 124 is “1”, the re-notification request unit 130 outputs the notified information acquisition / deletion request S 112 to the notified information accumulation unit 132. The notified information acquisition / deletion request S112 includes flag information (“1” in this case) indicating acquisition or deletion and an identifier of notified information. When the notified information S113 corresponding to the identifier of the notified information is input from the notified information storage unit 132 to the re-notification request unit 130, the re-notification request unit 130 notifies the server-side notification control unit 140 of the notification information. The accumulation request S102 is output. The notification information re-accumulation request S102 includes notified information. On the other hand, when the re-notification determination result information input from the re-notification determination unit 124 is “0”, the notified information acquisition / deletion request is similarly output to the notified information storage unit 132. The notified information erasure request information includes flag information (“0” in this case) indicating acquisition or deletion and an identifier of notified information that is not notified again.

  When the server-side notification execution unit 144 in the server-side notification control unit 140 outputs the information notification request S103 to the user terminal 200, the notified information storage request S114 is input from the server-side notification execution unit 144 to the notified information storage unit 132. The The notified information accumulation request S114 input to the notified information storage unit 132 includes notified information, its identifier, and the information length of the notified information. When the notified information storage request S114 is input, the notified information storage unit 132 stores and manages the notified information, the identifier of the notified information, the information length of the notified information, and the meta information thereof. On the other hand, the notified information storage unit 132 receives the notified information length acquisition request S107 from the re-notification determining unit 124, and returns the information length of the notified information and its meta information as a response S108.

  In addition, the notified information storage unit 132 receives the notified information acquisition / deletion request S112 from the re-notification request unit 130. When the flag information indicating acquisition or deletion included in the notified information acquisition / deletion request S112 is “1”, the notified information storage unit 132 responds to the identifier of the notified information included in the request S112. The notified information S113 to be returned is returned. On the other hand, when the flag information indicating acquisition or deletion is “0”, the notified information corresponding to the notified information identifier included in the request S112 is deleted from the inside.

(Environmental User Status Management Department)
The environment user state management unit 160 acquires the collection information S115a and S115b from the state information data collection unit 206a provided in the user terminal 200 and the state information data collection unit 206b provided outside the user terminal 200. The collected information S115a and S115b includes sense information, for example, sensor information that is an output of the sensor and interaction information. The environment user state management unit 160 that has received the collected information S115a and S115b generates element information used by the information recognition degree estimation unit 126 by converting or interpreting the information. For example, the environmental user state management unit 160 performs identification processing such as preprocessing, normalization processing, feature extraction processing, and clustering on the received sense information. The environmental user state management unit 160 creates environmental state information by processing sensor information, creates user information by processing interaction information, and creates environmental user state information.

(Server-side notification control unit)
The server-side notification control unit 140 receives the notification information request information from the information provider 300 and stores the notification candidate information storage unit 142 that stores the notification information request information and the notification candidate information that exists in the notification candidate information storage unit 142 in the user terminal 200. The server side notification execution unit 144 that outputs to the side notification execution unit 202 is included.
(Notification candidate information storage unit)
The notification candidate information storage unit 142 receives the notification request S116 from the information provider 300. In addition to the notification information to be notified to the user terminal 200, the notification request S116 is also given meta information such as the information amount, the remaining time until the valid time, and weighting information based on the sender information. The notification candidate information storage unit 142 assigns identifiers to each notification information and stores them. As the storage order of the received notification information, the reception order, the remaining time until the valid time, the weight by the user preference, the weight by the sender information, and the like can be used.

  The reception method of the notification request S116 includes reception by e-mail, electronic news, mail magazine, etc., distribution by a pager service, radio text broadcasting, WWW content, and reception by instant message (IM). The notification information also includes a scheduler, a To-Do list, and the like registered by the user. The types of information include news (eg politics, economy, society, culture, sports, weather), movie information, gourmet information, traffic information, TV programs, stock information, weather, fortune, event information, learning information (English words Memorization service), e-mail from acquaintances, contact from company, emergency contact such as disaster, advertisement, menu service, lost item service, lost item service, health promotion information, last train information.

Upon receiving the notification information re-accumulation request S102 from the re-notification request unit 130, the notification candidate information accumulation unit 142 accumulates the requested information. Further, when receiving the accumulated notification candidate information acquisition request S117 from the server-side notification execution unit 144, the notification candidate information accumulation unit 142 outputs notification candidate information and the like as a response S118.
The notification candidate information storage unit 142 having such a configuration stores and manages the contents of the notification request S116 received from the information provider 300. At the time of storage, a unique identifier is assigned to each notification information included in the notification request, and notification candidate information is stored in the waiting notification information buffer based on the order in which each information is received. Further, the order can be determined and accumulated based on the contents of the notification candidate information, for example, the importance level, the urgency level, and the sender. In addition, the notification candidate information storage unit 142 returns the stored notification candidate information and the number of information in response to the storage notification candidate information acquisition request S117 that is an inquiry from the server side notification execution unit 144.

(Server-side notification execution unit)
The server-side notification execution unit 144 outputs a storage notification candidate information acquisition request S117 to the notification candidate information storage unit 142, and acquires notification candidate information as a response S118. Then, the server-side notification execution unit 144 sends the notification candidate information to the user-side notification execution unit 202 in the user terminal 200 as the information notification request S103. Further, the server-side notification execution unit 144 sends a notified information storage request S114 to the notified information storage unit 132. In addition to the notified information and its identifier, the notified information accumulation request S114 includes meta information such as the information length received from the information provider 300, the remaining time until the valid time, and weighting information based on the sender information. Yes.

The server-side notification execution unit 144 having such a configuration determines whether or not candidate information to be notified exists in the notification candidate information storage unit 142 (stores it), and when notification candidate information exists Notifies the user terminal 200 of this. Here, the server-side notification execution unit 144 includes the notification candidate information in the information notification request S103 based on the order in which the information is registered in the waiting notification information buffer of the notification candidate information storage unit 142, and the user in the user terminal 200 To the side notification execution unit 202.
Further, the server-side notification execution unit 144 includes the notification candidate information included in the information notification request S103 as the notified information in the notified information accumulation request S114, and sends it to the notified information storage unit 132. The notified information accumulation unit 132 accumulates the notified information acquired from the server side notification execution unit 144 inside.

(User terminal)
The user terminal 200 receives the information notification request S103 from the server-side notification execution unit 144, and transmits the notification notification information to the user-side notification execution unit 202 that presents notification candidate information to the user and the information presentation that transmits the presentation control information S104 to the re-notification determination unit 124. The management unit 204 includes a status information data collection unit 206a that collects and transmits information used to create environmental user status information in the environmental user status management unit 160.

  Upon receiving the information notification request S103 from the server-side notification execution unit 144, the user-side notification execution unit 202 presents the notification candidate information included in the information notification request S103 to the information receiver 400 that is the user of the terminal. Therefore, the data is output from the user terminal 200 to the outside. In this case, for example, visual information such as text and image information is presented by a display on the user terminal, auditory information such as audio information is presented by a speaker, and perceptual information is presented by a device having a perceptual interface (for example, a vibrator). .

Then, the user-side notification execution unit 202 outputs the presentation event information S121 to the information presentation management unit 204 simultaneously with presenting the notification candidate information to the information receiver 400. The presentation event information S121 includes an identifier of notification information and presentation time information.
Based on the notification event information from the user side notification execution unit 202, the information presentation management unit 204 outputs the presentation control information to the re-notification determination unit 124 after the notification information is presented or after the presentation is completed. Here, the presentation control information S104 indicates the flag information indicating the presentation start (“1”) or the presentation end (“0”), the identifier of the notified information, and the presentation start or presentation end time of the notified information. Contains time information. Note that the time information is acquired by acquiring it from an OS (Operating System) used in the user terminal 200.

The operation of the user terminal 200 configured as above will be described.
The user side notification execution unit 202 in the user terminal 200 actually presents information to the information terminal external output device using the information notification request received from the server side notification execution unit 144. The user terminal has a user interface capability capable of displaying notification information, and controls the display position / size, text presentation method, and information update frequency (speed). The user interface can adjust the timing and expression method in information notification by the user. Furthermore, the user interface can accept an interaction from an information receiver, that is, a user. For example, the user terminal 200 may display information on the entire screen as shown in FIG. 2 (a), or display information at the bottom of the screen as shown in FIG. 2 (b). Is possible.

The user terminal 200 is provided with buttons that can change the display position and size, such as scrolling up and down, left and right, buttons that can change the display update frequency (speed), buttons that stop the display itself, and the like. The display according to the user's preference is possible. It is also possible to access link information by clicking and specifying the information itself.
The state information data collection units 206a and 206b acquire and output information indicating the state of the user and the environment, such as various sensors such as acceleration sensors, vibration sensors, microphones, and cameras, and terminals such as computers and mobile phones. It refers to everything that has a function. Further, in addition to the display speed adjustment operation and the display size adjustment operation on the information presentation management unit 204, the primary task execution speed is also included, and this task execution speed is measured. At the same time, it measures the speed of button operations until the start of various applications, the speed of character input when editing emails, the speed of browsing when browsing the Web, etc. Change of task speed on the information display terminal.

(Data collection unit for status information)
The status information data collection unit 206a provided in the user terminal 200 collects information used by the environmental user status management unit 160 to create environmental user status information periodically or according to an event. The data is output to the environmental user state management unit 160 as S115a. Each collection information S115a is given time information.
Further, the status information data collection unit 206b is provided in addition to the user terminal 200. For example, a sensor worn by the information receiver 400 as a user separately from the user terminal 200 or a sensor provided on a wall around the place where the user is located corresponds to the state information data collection unit 206b.

  That is, the collected information S115a by the status information data collection unit 206a and the collected information S115b by the status information data collection unit 206b are output from all devices such as an information display terminal used by the user and a device embedded in the environment. Information is included. For example, the collection information S115a and S115b include interaction information on the user's information display terminal, sense information of an acceleration sensor attached to the user terminal 200, and the like.

(Operation of re-notification control system)
Next, the operation of the re-notification control system according to the present embodiment will be described with reference to FIG. FIG. 3 is a sequence diagram showing a procedure for performing re-notification in the information re-notification system 10 in FIG.
In the figure, interaction information, application state information, and OS information that can be collected by the user terminal 200 by the information receiver 400 are always collected periodically by the state information data collection unit 206a. This periodically collected information is notified to the environmental user state management unit 160 together with time information as collected information S115a. Similarly, information from a sensor attached to the user terminal is collected by a state information data collection unit 206b (not shown), and notified to the environmental user state management unit 160 together with time information as collection information S115b.

First, the information provider 300 sends a notification request S116 to the notification candidate information storage unit 142 in the server-side notification control unit 140. Here, the notification request S116 includes the content of the notification information (that is, the notification information content). Further, the notification request S116 may include meta information related to the notification information, for example, information length, importance, and valid time.
When the notification candidate information storage unit 142 receives this notification request S116, it assigns a unique identifier to the notification information included in the notification request S116 and stores it as notification candidate information. Thereafter, when the accumulated notification candidate information acquisition request S117 is input from the server side notification execution unit 144 to the notification candidate information storage unit 142, the notification candidate information is input to the server side notification execution unit 144 as a response S118.

The server-side notification execution unit 144 in the server-side notification control unit 140 uses the notification candidate information in the notification candidate information storage unit 142 in the server-side notification control unit 140 as information notification request S103, and notifies the user-side notification in the user terminal 200. The execution unit 202 is notified.
Further, the server-side notification execution unit 144 sends a notified information storage request S114 to the notified information storage unit 132 in the re-notification control unit 120. Here, the notified information accumulation request S114 includes notification candidate information and its identifier.
Upon receiving the information notification request S103, the user-side notification execution unit 202 outputs the notification candidate information included therein to the information receiver 400. Further, the user-side notification execution unit 202 sends the presentation event information S121 to the information presentation management unit 204.
The above is the notification control operation.

Next, operations related to re-notification control will be described.
After the information is presented, the information presentation management unit 204 uses the flag information (= 1) indicating the presentation start, the identifier of the notified information, and the presentation time information regarding the presented time as the presentation control information S104, and the re-notification control unit 120. The re-notification determination unit 124 is notified.
When the re-notification determining unit 124 receives the presentation control information S104, when the flag information indicating the start or end of the presentation is “1” in the presentation control information, the information recognition degree estimation request S105 is recognized based on the information. It is sent to the degree estimation unit 126. Here, the information recognition degree estimation request S105 includes presentation time information indicating the time when the notified information is presented on the user terminal 200.

When the information recognition degree estimation unit 126 receives the information recognition degree estimation request, it transmits an environmental user state information acquisition request S119 to the environmental user state management unit 160. Here, the environmental user state information acquisition request S119 includes the presentation time information received from the re-notification determination unit 124 and a plurality of identifiers of observable element information of the Bayesian network managed internally.
When the information recognition degree estimation unit 126 receives the environmental user state information S120 from the environmental user state management unit 160, the information recognition degree is calculated by probability inference calculation based on the information, and the calculation result is used as the information recognition degree information S106. Return to the re-notification determination unit 124.

On the other hand, the re-notification determination unit 124 sends a notified information length acquisition request S107 to the notified information storage unit 132. Here, the notified information length acquisition request S107 includes the identifier of the notified information included in the presented event information.
When the notified information storage unit 132 receives the notified information length acquisition request S107, the re-notification determining unit 124 generates a response S108 including the notified information, the information length, and related meta information based on the identifier of the notified information. Reply to

  Further, the re-notification determination unit 124 sends a previous expected information recognition amount acquisition request S109 to the expected information recognition amount storage unit 128. Here, the previous expected information recognition amount acquisition request S109 includes an identifier of notified information. When the expected information recognition amount accumulating unit 128 receives the previous expected information recognition amount acquisition request S109, based on the notified information identifier, a search is performed to determine whether the expected information recognition amount has already been accumulated. The previous expected information recognition amount is returned to the re-notification determining unit 124 as the previous expected information recognition amount acquisition request response S110. On the other hand, if it is not accumulated as a result of the search, the previous expected information recognition amount is returned as “0” as the previous expected information recognition amount acquisition request response S110.

  The re-notification determining unit 124 receives the information recognition level information S106 from the information recognition level estimation unit 126, the response length S108 including the information length of the notified information and its meta information from the notified information storage unit 132, and the expected information recognition amount storage unit. If the previous expected information recognition amount is received as the previous expected information recognition amount acquisition request response S110 including the previous expected information recognition amount from 128, the information recognition amount calculated from the information recognition degree, the information length of the notified information, and its meta By comparing with information, it is determined whether or not re-notification is performed, and a re-notification determination result is created. The generated re-notification determination result is sent to the re-notification request unit 130 as re-notification determination result information S101. Here, the re-notification determination result information S101 includes an identifier of notified information and a flag indicating whether or not to perform re-notification. In this flag, “1” is described when re-notification is performed, and “0” is described when it is not performed.

The re-notification determination unit 124 sends an expected information recognition amount accumulation deletion request S111 to the expected information recognition amount accumulation unit 128 after the above processing. Here, the expected information recognition amount accumulation deletion request S111 includes an expected information recognition amount having a positive value when re-notification is performed, and an expectation having a value of “0” when re-notification is not performed. The amount of information recognition is included.
When the expected information recognition amount storage unit 128 receives the expected information recognition amount storage deletion request S111, if the expected information recognition amount is positive, it stores the expected information recognition amount together with the identifier of the notified information. Deletes information corresponding to the identifier of the notified information.

Next, when the re-notification request unit 130 receives the re-notification determination result S <b> 101, it sends a notified information acquisition / deletion request S <b> 112 to the notified information storage unit 132. Here, the notified information acquisition / deletion request S112 includes an identifier of the notified information and a flag indicating whether or not to perform the previous re-notification.
When the notified information storage unit 132 receives the notified information acquisition / deletion request S112, if the flag indicating whether or not to perform re-notification is 1, the identifier of the notified information included in the notified information acquisition / deletion request S112 is set. The corresponding notified information is returned to the re-notification requesting unit 130, and if not, the accumulated information corresponding to the identifier of the notified information is deleted.
When performing the re-notification, when the re-notification request unit 130 receives the notified information S113 as a response to the notified information acquisition / deletion request S112, the re-notification request unit 130 notifies the notification candidate information storage unit 142 of the notification information re-accumulation request S102. Here, the notification information re-accumulation request S102 includes notified information and its identifier.
Thereafter, the above process is repeated.

(Bayesian network)
Next, the Bayesian network and the observable element information constituting it in the information recognition degree estimation unit 126 described above will be described.
The Bayesian network can be reflected in the model structure as an order relationship between random variables using prior knowledge about each problem area, as well as ease of visualization by model representation. In this way, by using a Bayesian network suitable for each problem area, it is possible to predict the probability of other variables when some variables are observed and the state where the target random variable is maximized However, it can be said that it is a big difference from the conventional graphical modeling. The Bayesian network is described in the document “A tutorial on learning with Bayesian networks” by Heckerman, D., [1995], Microsoft Research MSR-TR-95-06, Revised June 1996.

A Bayesian network composed of a plurality of observable element information related to information recognition level in the information recognition level estimation unit 126 includes an “information recognition level” element that is a human internal state element at the time of notification, and a state information data collection unit. 206a, 206b can be obtained (interpreted) by the environmental user state management unit 160, and has a causal relationship with the recognition element of the previous information, such as “user characteristics”, “user state”, “task state”, etc. Manages the relationship between the observable state element information and the "information expression" element information that determines how information is displayed at the time of notification, and the "reaction state" element information that is the element that can be observed after notification, using conditional probability expressions To do. Specifically, as a cause element of the non-observed user state element, that is, the “information recognition” information, at least one of “user characteristic” element information, “user state” element information, and “task state” element information; It consists of "information representation" element information. Furthermore, the “reaction state” element information becomes a causal network that becomes a result element of “information recognition degree”.
An example of a Bayesian network is shown in FIG. The links indicated by arrows between the elements in the figure indicate the probability of transition from element to element. However, the links between the elements in the figure are merely examples, and are dynamically changed according to the strength of the causal relationship.

Next, elements constituting the Bayesian network will be described.
“User characteristic” element information is element information that is static to some extent, unlike a “user state” that changes every moment. For example, “use proficiency of terminal or application” has discrete variable values such as “high proficiency”, “medium proficiency”, “low proficiency”, etc. These information includes average task processing, For example, it can be acquired from the average character input speed of a plurality of users and the character input speed ratio of the target user.

  The “user state” element information is element information indicating the state of the user, and is, for example, operation information or a state of gazing on the screen. The former has discrete variable values such as “still,” “walking,” “running,” “up the stairs,” “down the stairs,” and the like. As a method for acquiring these states, a method based on image recognition using an external camera, a method of analyzing information from a wearable sensor, and the like can be applied. On the other hand, the latter has discrete variable values such as “looking at the screen” and “not looking at the screen”. However, “I am viewing the information display terminal but not doing anything” cannot be acquired from the OS or application status information on the information display terminal. For this reason, whether or not the user's line of sight exists on the information display terminal, that is, the gaze state, is a method based on image recognition using an external camera, a method where a user mounts a head mounted display (HMD), etc. A method of analyzing information from the sensor that has been used can be applied.

  The “task state” element information is element information indicating the user's work state on the information display terminal. For example, “I do nothing”, “I am watching the information display terminal but do nothing”, “Web browsing”, “Editing E-Mail”, “Dictionary search”, “Image reference”, “Terminal settings” Discrete variable values such as “streaming appreciation” and “document reference” are included. These can be acquired from the OS or application status information on the information display terminal.

The “information expression” element information is element information indicating an information expression / display method on the information display terminal. For example, media types such as visual media such as text, animation, and video, audio media, and vibration media are shown. As for text media, there is a distinction between display position / size, text presentation method, and information update frequency (speed).
As shown in FIG. 2, the display position / size includes, for example, display on the entire screen and display on the lower part of the screen and the horizontal part of the screen. Scroll display and switching type. Also, in scrolling and switching, there are high-speed display and low-speed display as the frequency (speed). These are controlled by a user-side notification execution unit 202 described later.

On the other hand, “reaction information” element information is element information indicating information obtained after notification. Not only explicit interaction by the user (button presses for referring to notification information, mailer reference history, etc.), but also the processing speed ratio of the main task when compared with the time when notification is not performed, operation error in the main task , Etc.
When the “user characteristic”, “user state”, “task state”, and “reaction information” elements as the observable state elements as described above are obtained, the information recognition degree estimation unit 126 determines whether these observable state elements , Probability calculation is performed based on a Bayesian network composed of “information recognition” element information.

  Here, learning by model parameter estimation for creating these structural models requires offline learning in advance. It is also possible to learn online. Off-line learning is realized by creating a situation in which all combinations of discrete variable values that can be taken by the elements constituting the model occur and observing objective information. The model structure is determined using, for example, AIC (Akaike's information criterion), MDL (Minimum description length), and BIC (Bayesian information criterion).

On the other hand, “information recognition degree” is obtained by probabilistic inference based on observable state elements. As an algorithm, an inference algorithm such as a Polytree algorithm can be used for a network without a loop, a Junction Tree algorithm can be used for a network with a loop, and a Loopy Belief Propagation algorithm can be used for an approximate calculation.
As described above, if the information recognition degree is managed by the Bayesian network model and the probability of the information recognition degree is estimated, it is possible to estimate the human information recognition degree that cannot be directly observed. Since it is determined whether or not to re-notify based on the estimation result, re-notification of information can be appropriately performed.

(Calculation of expected information recognition amount)
Next, a calculation method and a determination method of the expected information recognition amount calculated by the re-notification determination unit 124 described above will be described.
The re-notification determination unit 124 determines whether or not to re-notify from the posterior probability P (IA (m, k)) of the information recognition level included in the information recognition level estimation request response. In the determination, a function for determining the information recognition amount corresponding to the discrete state value IA (m, k) of the information recognition degree is given as Ψ (IA (m, k)), and the notification that is currently determined When the presentation time of the information m is calculated as T (m), an expected information recognition amount EAI (Expected Awareness Information) is obtained. Here, Ψ (IA (m, k)) is regarded as a cognitive information processing speed per unit time. For example, the unit is [bytes / sec], and the unit of EAI (m) is [bytes]. Specifically, the information recognition amount in each discrete state k is derived by multiplying the probability of becoming the state k and summing all k (K). From the above, it is expressed by the following formula (1).
EAI (m) = Σp (IA (m, k)) × Ψ (IA (m, k)) × T (m) (1)
Note that “Σ” in the equation (1) is a total from k = 1 to k = K.

The re-notification determination unit 124 compares the EAI value obtained by the above equation with the information length L (m) of the notified information m included in the notified information length acquisition request response. If EAI <α × L (m), it is determined that re-notification is performed, and otherwise, it is determined that re-notification is not performed. Here, α is a parameter for controlling the threshold value.
Specifically: The discrete state K is “3”, and three types of high probability (hereinafter, high probability), low probability (hereinafter, low probability), and intermediate probability (hereinafter, medium probability) are defined. For example, the high probability is 0.8, the medium probability is 0.15, and the low probability is 0.05. In addition, regarding the cognitive information processing speed Ψ (IA (m, k)) per unit time, it is assumed that the high probability is 20 characters / second, the medium probability is 10 characters / second, and the low probability is 5 characters / second. In such a case, when the notified information m is presented for 1 second (T (m) = 1), when these are multiplied according to the equation (1), 0.8 × 20 + 0.15 × 10 + 0.05 × 5 = 17 .75 characters is the expected information recognition amount.

Here, according to the importance information included in the meta information of the notified information included in the notified information length acquisition request response, the value of α is increased when the importance is high, and is decreased otherwise. Thus, important information can be easily notified again. In addition, optimal control can be performed by inputting the setting policy on the user side in advance.
Furthermore, EAI can be calculated in consideration of the expected information recognition amount when notified in the past. Specifically, the expected information recognition amount (that is, the previous expected information recognition amount) when notified in the past is acquired from the previous expected information recognition amount included in the previous expected information recognition amount acquisition request response S110. EAIprev is calculated as follows.
EAI (m) = Σp (IA (m, k))
× Ψ (IA (m, k)) × T (m) + EAIprev (m) (2)
Note that “Σ” in the equation (2) is a total from k = 1 to k = K.

By adopting the above equation (1) and determining whether to notify the notified information again according to the newly calculated expected recognition information amount, the possibility that the notified information is recognized by the user can be increased. . However, on the other hand, there is a high possibility that the information already recognized by the user will be notified again, and the user may feel troublesome.
On the other hand, if formula (2) is adopted and it is determined whether to notify the notified information again according to the previous expected information recognition amount which is the past expected recognition information amount in addition to the newly calculated expected recognition information amount. The entire process of re-notifying information can be completed at an early stage, and the user is unlikely to feel bothered. However, on the other hand, the possibility of being recognized by the user may be low.

(Summary)
Then, the effect | action and effect of the re-notification control system concerning this embodiment are demonstrated. In the information re-notification system 10 according to the present embodiment, the re-notification determination unit 124 requests the information recognition degree estimation unit 126 to calculate the information recognition degree using the presentation event presented on the user terminal as a trigger, and the result Estimate whether this information was recognized by the user by using the calculated expected information recognition amount and the previous expected information recognition amount when notified in the past and comparing it with the information length of the notified information. However, when it is determined that it is not completely recognized, notification is performed again. In particular, according to this example, after notifying the information, the situation at the time of the notification is grasped, the reaction by the notification is considered, and whether the user has recognized the notification information is estimated / determined and recognized. If not, re-notification can be performed to avoid a user's disadvantage due to information loss. This realizes effective notification control not only for general users who are information receivers but also for information providers who want to notify information reliably or efficiently. In realization, by introducing an observable element that has an influence on human internal state elements that cannot be observed directly, such as information recognition, and dynamically maintaining and managing the relational structure between these multiple elements The state management at the time of information notification and after the notification becomes possible, and appropriate information re-notification determination can be made based on the state.

(Modification)
Subsequently, a modification of the information re-notification system 10 according to the present embodiment will be described. An example of the deformation is shown in FIG. That is, in FIG. 1, the entire notification control server 100 is connected to the user terminal 200 via a network, whereas in FIG. 5, the function of the notification control server 100 is located in the user terminal 200. . By adopting such a configuration, it is not necessary to prepare a notification control server on the network.

Yet another variation is shown in FIG. That is, in addition to the configuration of FIG. 5, the status information data collection unit 206b is connected to the environmental user status management unit 160 in the user terminal 200 via the network. By adopting such a configuration, it is not necessary to prepare a notification control server on the network, and information from sensors provided on the walls around the user's location is also collected, and the information is recognized by the user. Can be estimated.
In the case of FIG. 1, the status information data collection unit 206a and the status information data collection unit 206b are provided in either case, but only one of these status information data collection units may be provided. good.

(Information re-notification method)
By the way, in the information re-notification system described above, the following information re-notification method is realized. That is, it is an information re-notification method for re-notifying notified information that is information notified to the user, and information recognizing estimation for estimating the degree of information recognizing that the user perceives and recognizes the content of the notified information. Information for re-notifying the notified information according to the determination result of the determination step, and a determination step of determining whether to notify the notified information again based on the estimation result of the information recognition degree estimation step A re-notification method is realized. If it does in this way, it becomes possible to re-notify of information according to a user's information recognition degree.

  Further, the method further includes an environmental state acquisition step of acquiring the environmental state of the user, and the information recognition degree is estimated based on the environmental state of the user acquired in the environmental state acquisition step in the information recognition degree estimation step. Is desirable. In this way, after notifying the user of the information, it is possible to determine the information recognition level of the user based on the state of the user at the time of notification, the user reaction, etc., and perform the re-notification based on the result. it can. In particular, information can be reliably transmitted to the user in the push-type information notification not caused by the user request.

In addition, the method further includes a notified information storage step for storing the notified information, and if the determination result in the determining step is to be notified again, the notified information stored in the notified information storage step is It is desirable to notify again. In this way, once notified information is stored as it is, information can be easily re-notified.
In addition, the method further includes an expected recognition information amount calculating step of calculating an expected recognition information amount that is an amount recognized based on the estimation result in the information recognition degree estimation step and recognized for the notified information. It is desirable to determine whether to notify the notified information again according to the expected recognition information amount calculated in the expected recognition information amount calculation step. Information can be re-notified more appropriately by determining whether to notify again according to the expected recognition information amount.

Furthermore, it further includes an expected recognition information amount accumulation step for accumulating the expected recognition information amount calculated in the expected recognition information amount calculation step, and in the determination step, the expectation newly calculated in the expected recognition information amount calculation step It is desirable to determine whether to notify the notified information again according to the amount of recognition information and the past expected recognition information amount accumulated in the expected recognition information amount accumulation step. By reusing the expected information recognition amount calculated at the time of past re-notification determination, it is possible to add the expected information recognition amount for the same information presented multiple times, so even if each notification amount is small More accurate re-notification determination can be realized on the assumption that information is likely to be recognized.
In the determination step, it is desirable to determine whether to notify the notified information again according to the importance of the notified information. If comprised in this way, according to the importance of information, the possibility of a re-notification can be adjusted, important information can be re-notified reliably, and a user can be recognized.

  The present invention can be used when notifying a user of information for recognition.

It is a block diagram which shows the structure of the modification of the information re-notification system concerning embodiment of this invention. It is a figure which shows the information presentation interface concerning embodiment of this invention. It is a flowchart which shows operation | movement of the information re-notification system concerning embodiment of this invention. It is a figure which shows the example of the Bayesian network concerning embodiment of this invention. It is a block diagram which shows the structure of the modification of the information re-notification system by embodiment of this invention. It is a block diagram which shows the structure of the other modification of the information re-notification system by embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Information re-notification system 100 Notification control server 120 Re-notification control part 122 Re-notification determination part 124 Re-notification determination part 126 Information recognition degree estimation part 128 Expected information recognition amount accumulation part 130 Re-notification request part 132 Notified information accumulation part 140 Server Notification control unit 142 Notification candidate information storage unit 144 Server-side notification execution unit 160 Environmental user state management unit 200 User terminal 202 User-side notification execution unit 204 Information presentation management unit 206a, 206b Status information data collection unit 300 Information provider 400 Information recipient

Claims (14)

  An information re-notification system for re-notifying notified information that is information notified to a user, wherein information recognizing means for estimating information recognizing degree indicating a degree by which the user perceives and recognizes the contents of the notified information. And determining means for determining whether to notify the notified information again based on the estimation result of the information recognition degree estimating means, and notifying the notified information again according to the determination result of the determining means. Feature information re-notification system.   It further includes an environmental state acquisition unit that acquires the environmental state of the user, wherein the information recognition degree estimation unit estimates the information recognition degree based on the environmental state of the user acquired by the environmental state acquisition unit. The information re-notification system according to claim 1.   If the notification information storage means for storing the notified information is further included, and the determination result of the determination means is to be notified again, the notification information stored in the notification information storage means is The information re-notification system according to claim 1 or 2, wherein notification is performed. An expected recognition information amount means that calculates an expected recognition information amount that is estimated based on an estimation result of the information recognition degree estimation means and that is recognized for the notified information;
4. The method according to claim 1, wherein the determination unit determines whether to notify the notified information again according to the expected recognition information amount calculated by the expected recognition information amount unit. Information re-notification system described in the section. An expected recognition information amount storage means for storing the expected recognition information amount calculated by the expected recognition information amount means;
The determination means again determines the notified information according to the expected recognition information amount newly calculated by the expected recognition information amount means and the past expected recognition information amount stored in the expected recognition information amount storage means. 5. The information re-notification system according to claim 4, wherein it is determined whether to notify.   6. The information replay according to claim 1, wherein the determination unit determines whether to notify the notified information again according to the importance of the notified information. Notification system.   A terminal device comprising means for outputting information relating to notified information which is information presented to a user in the device itself.   8. The terminal device according to claim 7, further comprising means for acquiring and outputting user status information relating to a user status of the device itself.   An information re-notification method for re-notifying notified information which is information notified to a user, wherein an information recognition degree estimating step for estimating an information recognition degree indicating a degree by which the user perceives and recognizes the content of the notified information. And a determination step of determining whether to notify the notified information again based on an estimation result of the information recognition degree estimation step, and notifying the notification information again according to a determination result of the determination step. Characteristic information re-notification method.   The method further includes an environmental state acquisition step of acquiring an environmental state of the user, and the information recognition degree is estimated based on the environmental state of the user acquired in the environmental state acquisition step in the information recognition degree estimation step. The information re-notification method according to claim 9.   A notification information accumulation step for accumulating the notification information; and when the determination result in the determination step is to notify again, the notification information accumulated in the notification information accumulation step is notified again. The information re-notification method according to claim 9 or 10, wherein: An expected recognition information amount calculating step of calculating an expected recognition information amount that is an amount estimated based on the estimation result in the information recognition degree estimation step and recognized for the notified information;
12. The method according to claim 9, wherein, in the determination step, it is determined whether to notify the notified information again according to the expected recognition information amount calculated in the expected recognition information amount calculation step. The information re-notification method according to claim 1. An expected recognition information amount accumulation step for accumulating the expected recognition information amount calculated in the expected recognition information amount calculation step;
In the determination step, the notified information is again determined according to the expected recognition information amount newly calculated in the expected recognition information amount calculation step and the past expected recognition information amount accumulated in the expected recognition information amount accumulation step. 13. The information re-notification method according to claim 12, wherein it is determined whether to notify.   The information according to any one of claims 9 to 13, wherein, in the determination step, it is determined whether to notify the notified information again according to the importance of the notified information. Re-notification method.

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