JP7736365B1 - Information processing device, information processing method, and program - Google Patents

Abstract

[Problem] To provide a technology that can easily record the actions of people involved in an organization. [Solution] An information processing device (10) according to one embodiment includes: a receiving unit (12) that receives input of a log of the actions of people involved in an organization, the log including the designation of one of a plurality of defined types; a writing unit (13) that writes the log to a log database; and a creating unit (17) that creates a document in a predetermined format from the contents of the log recorded in the log database. [Selected Figure] Figure 2

Description

The present invention relates to an information processing device, an information processing method, and a program.

Traditionally, recording problematic behavior by relevant parties within an organization and creating documents based on those records has been done manually. For example, Patent Document 1 discloses an information processing device that efficiently extracts desired information from non-standard documents. Patent Document 2 discloses an inheritance business support system for financial institutions. Patent Document 3 discloses a labor-related document creation system that displays other companies' aggregated information, which is a compilation of collected information from other companies. Patent Document 4 discloses a trade support processing system that obtains service plans based on order information and executes the output process for the service plans.

Japanese Patent Application Laid-Open No. 2022-161196 Patent No. 6571597 Patent No. 6671601 JP 2009-294796 A

None of the technologies described in Patent Documents 1 to 4 were designed to easily record the activities of people involved in an organization.

In response to this, the present invention provides technology that makes it easy to record the actions of people involved in an organization.

One aspect of the present disclosure provides an information processing device having a receiving means for receiving input of a log of the actions of related parties in an organization, the log including the designation of one of a plurality of defined types, a writing means for writing the log to a log database, and a creation means for creating a document in a predetermined format from the contents of the log recorded in the log database.

This information processing device may have a determination means for determining whether a log registered in the log database satisfies the grouping conditions, a registration means for registering the group related to the log in the group database if it is determined that the log satisfies the grouping conditions, and an output means for outputting information related to the group to a registered advisor's terminal upon receiving a request from the terminal.

If it is determined that a case registered in the group database meets the conditions for document creation, the creation means may create the document from the contents of a log related to the group.

The system may also include an output means for, upon receiving a request from a terminal of a registered observer, outputting information about the logs recorded in the log database to that terminal.

The system may also have a suggestion means for suggesting an input template for the log that includes items corresponding to the type of behavior.

The items may include explanations from the parties involved.

The items may include the organization's response.

The item may include a notice from the organization to the relevant party.

The system may also include an access means for accessing the organization's work rules, an extraction means for extracting clauses from the work rules that may conflict with the behavior, and a presentation means for presenting the extracted clauses.

The extraction means may extract potentially problematic parties from the log and the work rules.

The receiving means may receive the log input by voice from the recorder.

The system may also include a text conversion means for converting the audio into text, and an annotation means for adding annotations to the text based on the audio.

The organization may have multiple groups, and may include a counting means for counting problematic behaviors in the log for each group, and a presentation means for presenting information showing the counted results of the problematic behaviors.

The system may also include a measuring means for measuring the amount of time elapsed since the problematic behavior in the log, and a presentation means for presenting information indicating the measured amount of time elapsed.

The system may include a receiving means for receiving input of a log of the actions of related parties in an organization, the log including the designation of one of a plurality of defined types; a writing means for writing the log to a database; a registering means for registering a group related to the log in the database if the log recorded in the database satisfies a grouping condition; and an output means for outputting information about the group registered in the database to the terminal of a registered advisor upon request from the advisor.
may have

Another aspect of the present disclosure provides an information processing device having: a receiving means for receiving input of a log of the actions of related parties in an organization, the log including the designation of one of a plurality of defined types; a writing means for writing the log to a database; a registering means for registering a case related to the log in the database if the log recorded in the database meets the conditions for creating a case; and an output means for outputting information related to the case registered in the database to a terminal of a registered advisor upon request from the advisor.

Another aspect of the present disclosure provides an information processing method including the steps of accepting input of a log of the actions of relevant parties in an organization, the log including the designation of one of a plurality of defined categories, writing the log to a log database, and creating a document in a predetermined format from the contents of the log recorded in the log database.

Another aspect of the present disclosure provides a program for causing a computer to execute the steps of accepting input of a log of the actions of relevant parties in an organization, the log including the designation of one of a plurality of defined types, writing the log to a log database, and creating a document in a predetermined format from the contents of the log recorded in the log database.

This invention makes it possible to record problematic behavior among people involved in an organization.

1 is a diagram showing an overview of an information processing system 1 according to an embodiment. FIG. 1 is a block diagram showing the functional configuration of an information processing system 1. FIG. 1 is a diagram illustrating an example of a hardware configuration of an information processing device 10. FIG. 2 is a diagram illustrating an example of the hardware configuration of a user terminal 20. FIG. 3 is a diagram illustrating an example of the recorded contents of a user database 113. 3 is a sequence chart showing an outline of the operation of the information processing system 1. FIG. 10 is a diagram illustrating an example of an introduction screen. FIG. 10 is a diagram illustrating an example of a log input screen. FIG. 3 is a diagram illustrating an example of the recorded contents of a log database 111. 10 is a sequence chart showing an outline of a process related to viewing an action log. FIG. 10 is a diagram illustrating a list display screen. FIG. 10 is a diagram illustrating a detailed display screen. 10 is a flowchart showing an outline of a process related to the generation of an instance. FIG. 10 is a diagram illustrating an example of a case creation screen. FIG. 2 is a diagram illustrating an example of a case database 112.

1. Configuration FIG. 1 is a diagram illustrating an overview of an information processing system 1 according to one embodiment of the present invention. The information processing system 1 is a system for recording the actions of participants in an organization as a log (hereinafter referred to as an "action log") and providing a service for creating documents based on the action log. This service is hereinafter referred to as a "recording service." The information processing system 1 is a system that assists in recording the actions of participants in an organization and contributes to problem resolution by making the records easily accessible when a problem occurs. The information processing system 1 particularly considers problems in relation to the rules that must be observed within the organization. Behavior that violates these rules is considered problematic behavior and has a negative impact on the organization's environment. The ultimate goal of the information processing system 1 is to reduce such problematic behavior and improve the organization's environment.

In one example, the rules targeted by information processing system 1 are at least one of the following: rules established by the organization, such as work regulations; laws, such as the Power Harassment Prevention Act or the Civil Code; or unwritten rules, such as common sense. Problematic behavior refers to behavior that may conflict with these rules. Examples of problematic behavior include being late, absent from work (without permission), leaving work without permission, power harassment, and sexual harassment.

The parties involved in the information processing system 1 in a broad sense, i.e., users, are divided into the observed person Ut, the observer Us, and the advisor Ua. The observed person Ut is the person who performed the behavior recorded in the behavior log, i.e., the subject of the behavior log. The observer Us is the person who records the behavior log of the observed person, i.e., the recorder or inputter of the behavior log. The advisor Ua is the person who provides advice to the organization by referring to the behavior log and other information. In one example, the organization is a company, the parties involved in the organization are the employees and executives of the company, and the behavior recorded is the problematic behavior of the employees. The observed person Ut is an employee, the observer Us is the employee's supervisor, and the advisor Ua is an expert such as a lawyer, a social insurance labor consultant, or an industrial counselor.

The information processing system 1 includes an information processing device 10 and a user terminal 20. The information processing device 10 is a server in a recording service. The user terminal 20 is a client in the recording service. The information processing device 10 and the user terminal 20 are communicatively connected via a network 30. The network 30 is, for example, a computer network such as the Internet, a LAN, or a VPN.

Figure 2 is a block diagram showing the functional configuration of the information processing system 1. The information processing system 1 includes a storage unit 11, a receiving unit 12, a writing unit 13, a determining unit 14, a registering unit 15, an output unit 16, a creating unit 17, and a control unit 19. In this example, these elements are implemented in the information processing device 10.

The storage means 11 stores various data and programs. In this example, the storage means 11 stores a log database 111, a case database 112, a user database 113, and a rule database 114 (databases are abbreviated as DB in the diagram). The log database 111 is a database that records action logs. The case database 112 is a database that records cases. The user database 113 is a database that records user attributes. The rule database 114 is a database that records rules that an organization must comply with. Details of these databases will be provided below.

The receiving means 12 receives input of a behavior log sent from the user terminal 20. The behavior log includes behavior logs of related parties. In this example, the behavior is particularly problematic behavior. In one example, the behavior log includes the type of problematic behavior, the date and time of the problematic behavior, the content of the problematic behavior, the names of related parties, etc. The writing means 13 writes the behavior log received by the receiving means 12 into the log database 111.

The judgment means 14 determines whether the action log satisfies the conditions for creating a case. When the behavior of a related party exceeds a certain level, the organization may need to take some kind of action against that related party. In this document, this state in which the related party's behavior exceeds a certain level is referred to as "creating a case," and the event related to that response is referred to as a "case." In one example, creating a case means grouping one or more action logs and managing the grouped action logs separately from other action logs. Although the term "grouping" is used here, examples of grouping also include assigning labels, tags, or flags for separate management to one or more action logs. In other words, whether there is one action log or multiple action logs, both can be grouped. Separate management refers to managing action logs separately from normal action logs, such as granting access rights to different users than those who use the action log, recording training history, or recording personnel and labor responses. Note that action logs and information other than action logs may be managed together in a single group. For example, the information processing system 1 may record action logs and training history separately and manage them as groups. The registration means 15 registers events that are determined by the determination means 14 to meet the conditions for creating a case as cases in the case database 112. The case database 112 is an example of a group database that records information about grouped action logs. In this example, a separate case database 112 is prepared for each case, and case information is recorded there.

The output means 16 outputs (or provides) information recorded in the log database 111 or the case database 112 to the user terminal 20 in response to access from a related party using the user terminal 20. It can also be said that the output means 16 controls access to the log database 111 or the case database 112.

The creation means 17 creates documents in a predetermined format from the contents of the behavior log recorded in the log database 111. These documents may be, for example, observation histories, instruction histories, reports, notices, or warnings. The control means 19 executes various processes.

3 is a diagram illustrating an example of the hardware configuration of the information processing device 10. The information processing device 10 is a computer device including a CPU (Central Processing Unit) 101, a memory 102, a storage device 103, and a communication device 104. These components are connected to each other via a bus 107.

The CPU 101 is an arithmetic processing unit that controls the overall operation of the information processing device 10 by reading and executing programs stored in the storage device 103. The memory 102 is, for example, a volatile memory such as RAM (Random Access Memory) that temporarily stores programs and data executed by the CPU 101. The storage device 103 is, for example, a non-volatile memory such as a hard disk drive (HDD) or solid state drive (SSD) that permanently stores programs, an OS (Operating System), and various data. The communication device 104 is, for example, a NIC (Network Interface Card) that communicates with other devices via the network 30.

In this example, the programs stored in storage device 103 include a program (hereinafter referred to as the "server program") for causing the computer to function as a server in information processing system 1. When CPU 101 is executing the server program, CPU 101 is an example of receiving means 12, writing means 13, determining means 14, registering means 15, output means 16, creating means 17, and control means 19, and at least one of memory 102 and storage device 103 is an example of storage means 11.

Figure 4 is a diagram illustrating an example of the hardware configuration of the user terminal 20. The user terminal 20 can be configured using a general-purpose computer. The user terminal 20 is a computer, such as a personal computer, smartphone, or tablet terminal, that includes a CPU 201, memory 202, storage device 203, communication device 204, input device 205, and output device 206. These components are connected to each other via a bus 207.

The CPU 201 is an arithmetic processing unit that controls the overall operation of the user terminal 20 by reading and executing programs stored in the storage device 203. The memory 202 is, for example, a volatile memory such as RAM, and temporarily stores programs and data executed by the CPU 201. The storage device 203 is, for example, a non-volatile memory such as an HDD or SSD, and permanently stores programs, the OS, and various data. The communication device 204 is, for example, a NIC or wireless LAN module, and communicates with the information processing device 10 via the network 30. The input device 205 is a device that accepts instructions or information input from the user, and includes, for example, at least one of a keyboard, mouse, touch sensor, and microphone. The output device 206 is a device that outputs information to the user, and includes, for example, at least one of a display, speaker, and printer.

In this example, the programs stored in the storage device 203 include a program (hereinafter referred to as a "client program") that causes the computer to function as a client in the information processing system 1.

2. Operation The operation of the information processing system 1 will be described below. The operation of the information processing system 1 can be broadly divided into recording an action log, viewing the action log, and managing cases. In this example, the organization is a company, and the relevant parties include employees of the company as observed parties Ut, and the problematic behaviors of the employees are recorded. All employees and executives are assigned the role of at least one of the observer Us and the observed party Ut. If the company has a hierarchical organization, a single employee may be assigned the roles of both the observer Us and the observed party Ut. For example, a section manager is the observer Us to the section staff in charge, i.e., the employees who are subordinates, and the observed party Ut to the department manager to which the section belongs, i.e., the employee who is the superior. The relevant parties are registered as users in advance in the information processing system 1, and their attributes are recorded in the user database 113 (not shown). The correspondence between the observer Us and the observed party Ut is also defined in the user database 113. The advisor Ua is also registered as a user in the user database 113.

Figure 5 is a diagram illustrating the contents of the user database 113. The user database 113 has multiple records. Each record corresponds to the attributes of one user, i.e., a related person. Figure 5 shows only one record. Each record includes multiple attribute items, in this example, user ID, role, name, affiliation, job title, supervisor, date of birth, and gender. The user ID is identification information that uniquely identifies the related person. The role indicates the role of the related person in the recording service. In this example, there are three roles: observer, observed, and advisor. One person may hold multiple roles. Name, job title, supervisor, date of birth, and gender are examples of general user attributes. This information is provided by the organization when using the information processing system 1.

Each related party accesses the information processing device 10 from their own user terminal 20. Access rights are defined for each related party according to their role. The access rights are recorded, for example, in the log database 111 or the case database 112. Each related party can access information recorded in the information processing system 1 to the extent appropriate to their role. There are multiple categories of access rights, such as "view only" and "editable."

6 is a sequence chart showing an overview of the operation of recording an action log in the information processing system 1. Note that, hereinafter, hardware such as the information processing device 10 will be described as the subject of processing. This means that a hardware element such as the CPU 101 executes processing in cooperation with other hardware elements such as the memory 102 in accordance with software such as a server program.

In step S101, the user terminal 20 accesses the information processing device 10 and requests a log input screen from the information processing device 10. The information processing device 10 transmits data for displaying the log input screen to the user terminal 20 that sent the request (step S102).

Figure 7A is a diagram illustrating an example of an introduction screen that is displayed when the information processing device 10 is accessed for the first time. This introduction screen has an area 601, a button 602, and a button 603. Area 601 is an area that displays a message prompting the user to enter a record. Button 602 is a UI object for displaying a screen for entering a new log. Button 603 is a UI object for displaying a screen for reviewing or editing a log that was previously entered.

FIG. 7B is a diagram illustrating an example of a log input screen. This input screen has input fields 611, 612, 613, 614, 615, an area 616, a check box 617, and a button 618. The input field 611 is a UI object for inputting the type of problematic behavior to be recorded. The types of problematic behavior are categorized into five types, for example, lateness/absence, harassment, compliance violation, lack of ability/poor performance, and others. The input field 612 is a UI object for inputting the identification information of the observer (in this example, name). The input field 613 is a UI object for inputting the identification information of the perpetrator, i.e., the person who committed the problematic behavior (observed person Ut). The input fields 611 to 613 are used to input information in the form of, for example, a drop-down list. The input field 614 is a UI object for inputting the date and time when the problematic behavior occurred. The input field 615 is a UI object for inputting the details of the problematic behavior. The details of the problematic behavior are freely entered. Area 616 is a UI object for uploading files. Here, files such as images or audio related to problematic behavior can be uploaded. Checkbox 617 is a UI object for inputting whether or not to make the log public to other related parties, in this example, human resources personnel. When checkbox 617 is turned on (i.e., checked), the log is made public to human resources personnel. Button 618 is a UI object for inputting an instruction to record the log.

Referring again to FIG. 6, the observer Us inputs the behavior log of the observed person Ut on the input screen of FIG. 7B. When the observer Us presses button 618, the user terminal 20 transmits the input behavior log to the information processing device 10 (step S103). The information processing device 10 writes the behavior log transmitted from the user terminal 20 into the log database 111 (step S104). The observer Us can input the behavior log at any timing. In the course of daily work, the log database 111 accumulates behavior logs of multiple observed people Ut.

FIG. 8 is a diagram illustrating an example of the recorded contents of the log database 111. The log database 111 includes multiple records. Each record corresponds to one behavior log input at a certain timing. Each record includes information on multiple items, specifically, a log ID, the date and time of occurrence, the subject, the type, the content, the updater, and the status. The log ID is identification information for uniquely identifying one behavior log. The date and time of occurrence indicates the date and time of occurrence of the problem behavior. The subject is identification information of the observed person Ut. The type indicates the type of problem behavior. The content indicates the content of the problem behavior. The updater is identification information of the person who last updated the behavior log. The status indicates whether the behavior log is made public.

2-2. Viewing an Action Log FIG. 9 is a sequence chart showing an overview of the process for viewing an action log. When a related party instructs the user to view an action log, the user terminal 20 transmits a request to view the action log to the information processing device 10 (step S201). This request includes the user ID of the related party. The information processing device 10 receives the request from the user terminal 20 (step S202). Upon receiving the request, the information processing device 10 extracts from the log database 111 the action logs corresponding to the user ID included in the request and entered by the related party (step S203). The information processing device 10 transmits data for displaying a screen displaying a list of the extracted action logs (hereinafter referred to as the "list display screen") to the user terminal 20, which is the sender of the request (step S204). The user terminal 20 displays the list display screen (step S205).

Figure 10 is a diagram illustrating an example of a list display screen. This list display screen has areas 91 and 92. Area 91 is an area that displays a UI object that specifies the information to be displayed. In this example, the displayed screens include three types: "My Records," "View Records," and "Case Management." "My Records" is a screen that displays a list of action logs entered by the relevant person. "View Records" is a screen that displays a list of action logs to which the relevant person has access rights. Action logs entered by people other than the relevant person are also included in the list, as long as they have access rights. "Case Management" is a screen that displays a list of cases. Because various information can be viewed by specifying the information to view in area 91, this list display screen can be considered a type of dashboard screen.

The list display screen may be provided to a participant who is the observed. In this case, "My Records" is a screen that displays a list of action logs in which the participant is recorded as the actor.
For a person involved who has two roles, that is, observer and observed, the list display screen may provide a list relating to the role as observer and a list relating to the role as observed on separate screens, or may provide a list relating to the role as observed on a single screen.

While Figure 10 shows a list of "My Records," the screen layout is the same for "View Records." In other words, on this screen, participants can view the activity logs in which they are involved. Parties who act as observers (Us) can check, for example, whether there are any participants who wish to be interviewed. Based on this confirmation, participants can record richer information about the activity log, such as taking further actions (such as interviews) on the activity log and entering information on the results of those actions.

Whether it is "My Records" or "View Records," a list of action logs is displayed in area 92. At least part of the attribute information for each action log is displayed in area 92. The relevant person can input an instruction to view an individual action log by, for example, clicking or tapping on the location of an action log in area 92. Upon receiving this instruction, the information processing device 10 transmits data to the user terminal 20 for displaying a screen displaying details of each action log (hereinafter referred to as the "details display screen").

Figure 11 is a diagram illustrating a details display screen. On the details display screen, details of the specified behavior log are displayed in area 92. The details of the behavior log include, for example, the full text of the content and playback of attached files. The configuration of this screen and the actions that can be accepted vary depending on the scope of access rights granted to the relevant person for that behavior log. For example, a screen that allows only viewing of the details is provided to a relevant person who has only been granted viewing rights. A screen that includes a UI object that accepts instructions to edit the details is provided to a relevant person who has been granted editing rights. From this screen, the relevant person can check the details of each behavior log and, as necessary, write or edit additional information. Additional information, for example, may include the contents of interviews with the relevant person after the problematic behavior occurred.

The detailed display screen displayed on the user terminal 20 of the person involved who is being observed may include a UI object for inputting an explanation for the behavior log. By allowing the observed person to input an explanation, it becomes possible to understand the circumstances from multiple perspectives, rather than just making a one-sided evaluation of the observed person from the observer.

12 is a flowchart showing an outline of the process for generating a case. This flow is repeatedly executed at regular intervals while the information processing device 10 is in operation.

In step S301, the information processing device 10 determines whether the conditions for creating a case have been met. The conditions for creating a case are defined in advance. In one example, the condition for creating a case is that a related party with the authority to create a case has explicitly instructed a certain action log to be created as a case. If the conditions for creating a case have been met, the information processing device 10 proceeds to step S302. If the conditions for creating a case have not been met, the information processing device 10 ends the flow in FIG. 12.

In step S302, the information processing device 10 creates a case record. The case record includes the log ID of at least one corresponding action log. In one example, the "View Record" screen includes a UI object (e.g., a button) for instructing the creation of a case. This UI object is associated with a UI object (e.g., a check box) that specifies the corresponding action log. In other words, when a related party instructs the creation of a case, the related party specifies the corresponding action log on the case creation screen or the list display screen.

Figure 13 is a diagram illustrating an example of a case creation screen. The case creation screen has an area 93. Area 93 is an area where UI objects for entering case attributes or related information are displayed. In this example, case attributes include the last update date and time, disciplinary action content, occurrence date and time, target, secondary target, and content details. The last update date indicates the date and time the case record was last updated. The occurrence date indicates the date and time the case occurred. The target is the person who is the target of the disciplinary action. The secondary target is the person who is related to the case. Multiple people may be specified as secondary targets. The disciplinary action content indicates the content of the disciplinary action. In one example, the content of the disciplinary action is determined from predetermined options based on the content of the behavior log. The options include, for example, at least one of disciplinary action, warning, caution, deduction in personnel evaluation, transfer, suspension, recommendation to resign, and dismissal. The information processing device 10 may automatically input at least some of this information as initial values by referring to the behavior log recorded in the log database 111. Content details indicate the details of the disciplinary action content. The content details are entered, for example, by the observer Us.

In this example, the related information for a case includes logs, files, and disclosure ranges. The logs include a list of action logs corresponding to the case. The UI objects related to the logs include objects for adding or deleting action logs corresponding to the case. When an instruction to add an action log is input via a UI object for adding an action log (e.g., an add button), a list of candidate action logs is displayed. The observer U selects an action log to add from this list.

Files indicate attached files related to the case. Attached files are data in a specific file format, such as documents, images, audio, and video. UI objects related to files include objects for adding or deleting files related to this case. The viewer Us specifies the file to add from this UI object.

The disclosure range indicates the disclosure range of the case. In one example, the disclosure range includes free-entry text. The party creating the case can enter the disclosure range of the case in text. The disclosure range may include a link to an email. In this case, the email sender, email destination, and email text are recorded as the disclosure range. The disclosure range may also include identification information of the party with viewing or editing rights. For example, by including identification information of the party who is an advisor Ua, case information can be shared with the advisor Ua.

The information processing device 10 inputs the data entered via the case creation screen into the case database 112.

Figure 14 is a diagram illustrating the case database 112. The case database 112 contains multiple records. Each record corresponds to one case. Each record contains multiple items of information, in this example, the case ID, date of occurrence, subject, secondary subject, disposition content, content details, log list, attachments, and disclosure scope. The case ID is identification information that uniquely identifies the case. The rest is as explained on the case input screen.

The information processing device 10 outputs data for displaying a list display screen of cases to the advisor Ua who has accessed the information processing device 10 using the user terminal 20. The list display screen of cases has a configuration similar to that of the list display screen of action logs (FIG. 10), for example. Furthermore, when the advisor Ua selects a case from the list of cases, details of that case are displayed. The detail display screen of the case is similar to the case input screen (FIG. 13). The advisor Ua can view or edit cases according to his/her access authority.

Referring again to FIG. 12, in step S303, the information processing device 10 determines whether the conditions for creating a document have been met. The conditions for creating a document are predefined, and are, for example, a condition that an authorized party has given explicit instructions to create a document. If it is determined that the conditions for creating a document have been met, the information processing device 10 proceeds to step S304. If it is determined that the conditions for creating a document have not been met, the information processing device 10 ends the flow in FIG. 12.

In step S304, the information processing device 10 creates a document. The format of the document to be created for each disposition is defined in advance. In one example, the documents created here include an observation history and a training history. The observation history is a history of observations of the target person's problematic behavior. The training history is a history of training given to the target person. Format templates are defined for the observation history and training history. The format template defines the areas on the document and the type of information to be entered into those areas. The information processing device 10 creates the observation history and training history by entering information from the corresponding behavior log into the template. The information processing device 10 stores the created file. The information processing device 10 writes information indicating the location of this file to the case database 112. In the case database 112, this file is displayed, for example, as an attachment.

When the related person who is the advisor Ua accesses the information processing device 10 from his/her own user terminal 20, he/she can view the list of cases. The advisor Ua is a professional such as a lawyer, a certified social insurance labor consultant, or an industrial counselor, and can view or download the guidance resume and guidance history, and provide advice or preparation for taking disciplinary action or legal action in the organization.

As explained above, the information processing system 1 allows an organization to record behavior that may become problematic in the future, creating an environment that provides necessary information in an emergency. Furthermore, when a situation arises where specific disciplinary action or legal action is required, information can be easily and quickly shared with the advisor Ua, contributing to the early resolution of the problem. By creating an environment conducive to problem solving in this way, the organization's environment can be improved overall.

3. Modifications The present invention is not limited to the above-described embodiment, and various modifications are possible. Some modifications will be described below. Two or more of the following features may be applied in combination.

3-1. Input of Behavior Log The input method and input items of the behavior log are not limited to those exemplified in the embodiment. For example, at least a portion of the behavior log may be input using voice input technology. In this case, the user terminal 20 has a voice input means (not shown) that accepts voice input. The voice input means is, for example, a microphone mounted on the user terminal 20. The user can input the details of the problematic behavior by voice into the user terminal 20. The user terminal 20 transmits the input voice to the information processing device 10 as a stream of voice data. The information processing device 10 converts this voice data into text data using a voice recognition engine. The voice recognition engine may be an internal system of the information processing device 10 or an external system. The information processing device 10 writes the text data obtained in this manner to the log database 111 as a behavior log.

In this case, the information processing device 10 may have an annotation means for adding annotations to the text data. An annotation refers to additional information added to part or all of the text data, and is information including, for example, at least one of the emotions of the observer Us when they input the behavior log, the importance of the behavior log, and keywords in the behavior log.

If emotions are to be added as annotations, the information processing device 10 uses an emotion analysis engine that analyzes emotions from voice data to assign emotions to the action log. This emotion analysis engine includes, for example, a machine learning model. This machine learning model is a model that performs machine learning by providing, for example, a set of voice data and the emotions at that time as training data, with the voice data provided to the input layer and the emotions provided to the output layer. This training data does not have to be specialized for action logs, or it may be specialized for action logs. Alternatively, the importance analysis engine may include an LLM (Large Language Model). Emotions can be obtained by inputting an instruction to this LLM to output emotions from the text data of the action log.

If importance is assigned as an annotation, the information processing device 10 assigns importance to the behavior log using an importance analysis engine that analyzes the importance of the behavior log from text data. This importance analysis engine includes, for example, a machine learning model. This machine learning model is, for example, a model that performs machine learning by providing a set of behavior logs and their importance (importance assigned by humans) as training data, with the behavior log as the input layer and the importance as the output layer. Alternatively, the importance analysis engine may include an LLM. The importance can be obtained by inputting an instruction to the LLM to output the importance from the behavior log. In one example, the following factors may affect the importance: (a) the type of problematic behavior, (b) the frequency of occurrence of the problematic behavior, (c) the content of the problematic behavior, (d) the attributes of the person involved (e.g., position, age, past experience, etc.), and (e) the relevance to work rules. The information processing device 10 may analyze the importance by taking into account at least some of these factors.

If keywords are to be added as annotations, the information processing device 10 extracts keywords from the action log using a keyword extraction engine that extracts keywords from the action log from text data. This keyword extraction engine includes, for example, a machine learning model. This machine learning model is, for example, a model that performs machine learning on a set of action logs and their keywords (keywords extracted by humans), with the action log provided as training data to the input layer and the keywords provided as training data to the output layer. Alternatively, the importance analysis engine may include an LLM. Keywords can be obtained by inputting an instruction to this LLM to output keywords from the action log.

The sentiment analysis engine, importance analysis engine, and keyword extraction engine may be internal systems of the information processing device 10 or external systems. Annotations added to the action log are recorded in the log database 111.

When these annotations are added, the information processing device 10 may display the contents of the annotations on the list display screen or detailed display screen of the action logs. Alternatively, when selecting corresponding action logs to create a case, the information processing device 10 may select the action logs by referring to the annotations added to each action log. In one example, the information processing device 10 refers to annotations in such a way that it selects action logs containing specific keywords for a specific type of case, and selects action logs with a specific importance for another specific type of case.

In other words, this example of using annotations is one in which the information processing device 10 has a text conversion means that converts speech into text, and an annotation means that adds annotations to the text based on the speech.

Instead of or in addition to the examples described in the embodiments, the input items for the behavior log may include at least one of the following: the organization's action and a warning to the observed person. The organization's action indicates the action taken by the organization regarding the behavior. The warning to the observed person indicates the fact that the observer or other related parties have warned the observed person, or the content of that warning. By including this information, it is possible to record a wider variety of information.

3-2. Presentation of Related Information When or after inputting an action log, the information processing device 10 may present related information for the action log. Related information refers to information related to the action log that is pre-registered in the rule database 114 (not shown). The rule database 114 records at least one of the organization's relevant laws and regulations and the organization's own rules. The organization's own rules include, for example, company rules such as work rules. If the rule database 114 includes work rules, the information processing device 10 extracts clauses from the work rules that may be in conflict with the action log. The information processing device 10 presents the extracted information to the relevant person. For example, the information processing device 10 provides information such as, "This action may be in conflict with Article 3, Paragraph 2 of the work rules" to the relevant person.

To extract related information, for example, a machine learning model is used. For example, if the related information is work rules, this machine learning model performs machine learning on a set of a behavior log and the clauses of the work rules that the behavior log conflicts with, with the behavior log as training data in the input layer and the clauses as training data in the output layer. Alternatively, the related information may be extracted using an LLM. Extracted related information can be obtained by inputting an instruction to the LLM to extract (extract) the relevant portion of the related information from the behavior log and the relevant information. When presenting the extracted related information to relevant parties, the information processing device 10 may display the entire text of the related information while highlighting the extracted portion (by underlining, bolding, changing the color, or other decorative features), or it may display only the extracted portion without displaying the entire text of the related information. The extracted related information may be presented to either the observer Us or the observed Ut. In this way, the information processing device 10 extracts and highlights relevant information (e.g., the clauses of the work rules) from the input behavior log, allowing the user to easily understand the relationship between the problematic behavior and the work rules. This allows those involved to take appropriate action to address problematic behavior.

In other words, this example is one in which the information processing device 10 has an access means for accessing the organization's work regulations, an extraction means for extracting clauses from the work regulations that may conflict with the action log, and a presentation means for presenting the extracted clauses.

3-3. Assistance for Entering Behavior Logs In the above-described embodiment, an example was described in which a fixed screen (i.e., a fixed set of input items) is used as the input screen for the behavior log. However, the information processing device 10 may have multiple templates for the input screen and suggest to the person involved that they use a template appropriate for the situation. In one example, each template corresponds to one of multiple types of problematic behavior. For example, a dedicated input screen for lateness/absence is provided for tardiness/absence, and a dedicated input screen for harassment is provided for harassment.

The information processing device 10 may take into consideration the behavior log of the observed person Ut up to that point and suggest to the observer Us to input the behavior log on the input screen of a template according to the history up to that point. In one example, this "situation" or "history" may be
This includes the transition or context of the behavior log in the context of the problematic behavior. This can also be said to suggest that problematic behaviors have certain patterns (or frames or stories), and that the observer Us should record a behavior log that follows that pattern. For example, past experience may indicate that a certain type of problematic behavior (e.g., lateness) occurs with a frequency above a threshold, followed by a high probability of a specific type of problematic behavior (e.g., absenteeism). This corresponds to predicting the future behavior log of a certain participant based on the past behavior log transitions of multiple (preferably many) participants. Furthermore, at this time, the observer may have accumulated knowledge that, "If it was known that a certain type of problematic behavior (e.g., absenteeism) would occur in the future, I should have recorded this information even before the problematic behavior actually occurred." For example, when a triggering condition is met, such as when a certain type of problematic behavior occurs with a frequency above a threshold, the information processing device 10 may suggest to the observer Us, based on this knowledge, to enter a behavior log using an input screen that includes input items corresponding to a specific type of problematic behavior.

That is, in this example, the information processing device 10 has a suggestion unit that proposes a log input template including items according to the type of activity. In this example, the relationship between the transition or context of the activity log and the template may be defined on a rule basis, or may be identified by a machine learning model or an AI (Artificial Intelligence) technology such as LLM.

Instead of or in addition to proposing an input template, the information processing device 10 may provide information to assist in entering an action log. The information to assist in input is, for example, an example sentence to be entered into a specific item (e.g., "content") of the action log when entering that item. The example sentence may be registered in a database, or may be generated by referring to past action logs using AI technology such as LLM.

3-4. Behavioral Advice The information processing device 10 may provide behavioral advice to the person involved. As explained in the section "Suggesting an Input Template," it is possible to predict problematic behavior that the observed person Ut is likely to exhibit in the future based on the behavior log of the observed person Ut up to that point. The information processing device 10 may generate advice for the person involved based on this prediction. The advice for the person involved is generated taking into consideration, for example, at least one of the following factors: (a) the attributes of the person involved (e.g., age, gender, position, personality, work experience, etc.), (b) the type of problematic behavior, (c) the circumstances under which the problematic behavior occurred (e.g., frequency, time of day, location, surrounding circumstances, etc.), (d) the explanation or reflection of the person involved recorded in the log, (e) the content of rules such as work regulations and guidelines for behavior, and (f) effective advice based on similar past cases.

The person concerned to whom the advice is provided may be the observed person Ut, the observer Us, or any other person concerned (for example, a colleague belonging to the same group).
It can also be considered a preventive measure against the occurrence of problems. Advice provided to the observed person Ut includes guidelines for suppressing problematic behavior, such as "take a vacation" or "relieve stress." Advice provided to someone other than the observed person Ut includes guidelines for changing the observed person Ut's environment, such as "limit overtime" or "transfer." In particular, if it is possible to identify related parties who are likely to be affected by the observed person Ut's problematic behavior from the pattern of the behavior log, the information processing device 10 may provide advice to the identified related parties.

The information processing device 10 generates advice for the person concerned using an advice engine that generates advice from the history of the action log. This advice engine includes, for example, a machine learning model. This machine learning model is, for example, a model that performs machine learning by providing a set of past action log transitions (a set of multiple action logs for the same person concerned) and advice for the person concerned (e.g., advice provided by an expert) as training data, with the action log transitions provided to an input layer and the advice provided to an output layer. Alternatively, the importance analysis engine may include an LLM. The importance can be obtained by inputting an instruction to this LLM to output advice based on the action log transitions.

By providing such advice, more effective guidance and advice can be given to the relevant parties, preventing problems from becoming more serious. It also allows the relevant parties to reflect on their own actions and encourage improvements. The information processing device 10 may provide more personalized advice through interactive exchanges with the relevant parties. For example, the advice engine may pose questions to the relevant parties and adjust the content of the advice depending on the answers.

3-5. Case Determination The case determination method and conditions are not limited to those exemplified in the embodiment. For example, the case determination may be made automatically or semi-automatically using AI technology. In one example, the case determination is made using an LLM. In this case, the information processing device 10 inputs an instruction to the LLLM to output the necessity of case determination or the degree to which the requirements for case determination are met from the transition of the behavior log of a certain observer Us. If the necessity of case determination or the degree to which the requirements for case determination are met output from the LLM exceeds a threshold, the information processing device 10 determines that the behavior log of that observer Us should be cased. In this case,
The information processing device 10 may input information used to determine whether to treat a case into the LLM using RAG technology. In one example, this RAG system has a database that records the history of behavior logs that have been treated as cases in the past in the organization. When the behavior log to be determined is identified, the information processing device 10 searches the database for past cases similar to the behavior log. Similar cases are cases with similar attributes related to the behavior log. The attributes related to the behavior log are the attributes (e.g., age, gender,
The information processing device 10 instructs the LLM to attach similar cases extracted from the database and the transition of the target action log, and to output the degree of necessity of turning the transition of the target action log into a case. Note that the database in the RAG system may include not only data on transitions of action logs that have been turned into cases in the past, but also data on transitions of action logs that have not been turned into cases. In this case, the information processing device 10 instructs the LLM to attach similar cases extracted from the database, whether the similar cases have been turned into cases, and the transition of the target action log, and to output the degree of necessity of turning the transition of the target action log into a case.

In another example, the decision to turn a case into a case is made using a machine learning model. This machine learning model is a model that performs machine learning using a set of data for past cases, including behavior log transitions, attributes related to the behavior logs, and whether the case was turned into a case, as training data, with the behavior log transitions and attributes related to the behavior logs provided to the input layer and the output layer providing whether the case was turned into a case.

"Doing it automatically using AI technology" means that the information processing device 10 uses the above-mentioned AI technology to decide whether to make it a case without relying on instructions from the relevant parties. "Doing it semi-automatically using AI technology" means that the information processing device 10 uses the above-mentioned AI technology to output the need for making it a case or the degree to which the requirements for making it a case are met based on the transitions in the action log, and the relevant parties refer to this information to give instructions to make it a case.

Alternatively, the decision to issue a case may be made automatically or semi-automatically using rule-based technology instead of AI technology. In this case, the conditions for issue creation are defined with respect to the transition of the behavior log. For example, the conditions for issue creation may be "if someone is late four or more times within two weeks, it will be an issue."

In these examples, the necessity for case development or the degree to which the requirements for case development are met is output from the information processing system 1, making it possible to make an objective judgment without relying on the subjective judgment of the parties involved.

The decision to turn a case into a case may be omitted in the information processing system 1. That is, the behavior logs may be grouped according to predetermined criteria (for example, by observed person), and for each group, it may be determined whether the conditions for creating a written document are met (step S303), and if the conditions are met, a written document may be automatically created (step S304).

3-6. Creation of Documents The conditions for creating documents are not limited to those exemplified in the embodiments. For example, conditions such as a predetermined time having passed since an action log that meets a specific condition was recorded, or a predetermined amount of action logs that meet a specific condition have been accumulated, may be adopted as conditions for creating documents. Furthermore, the documents to be created are not limited to those exemplified in the embodiments. Any document may be created as long as it contributes to solving problems in the organization that employs the information processing system 1.

3-7. Collaboration with the advisor Ua Collaboration with the advisor Ua, particularly with the external expert, is not limited to the example of the embodiment. For example, when a new case is created, the information processing device 10 notifies the advisor Ua that a new case has been created.
The notification may be sent by push to the advisor Ua. "Notification by push" refers to the information being sent from the information processing device 10 to the advisor Ua voluntarily, for example, by sending information by email or outputting a notification from a dedicated app. In this case, the advisor Ua to be notified is defined in the user database 113. The advisor Ua to be notified may be defined for each type of case.

The push notification from the information processing device 10 to the advisor Ua may include at least one of the following information: (a) a link to display a case details screen for the case, (b) a list of action logs for the case, (c) a link to an input screen for inputting advice regarding the case, and (d) a link to hold a video conference regarding the case.

Instead of or in addition to the push notification to the advisor Ua, the information processing device 10 may provide a UI object for chatting (i.e., exchanging messages), video calling, or reserving a meeting date and time with the advisor Ua on the case list display screen or the details display screen. According to this example, the relationship between the group and the advisor Ua can be more closely communicated with.

3-8. List Display Screen The list display screen (or dashboard screen) of cases or action logs is not limited to the example of the embodiment. For example, the list display screen of action logs may include the aggregation results of problematic behaviors. The aggregation results of problematic behaviors are the results of aggregating the action logs recorded in the log database 111. The aggregation is performed according to a predetermined aggregation unit. The aggregation unit is, for example, a group (specifically, a department or section) in an organization. The information processing device 10 aggregates problematic behaviors for each group. The aggregation results are displayed in a graph such as a bar graph. Alternatively, the aggregation results are displayed by highlighting action logs whose aggregate values meet a condition (e.g., those whose occurrence frequency exceeds a reference value) more than other action logs. The highlighting may include, for example, decorations such as adding an icon or badge, flashing, bolding, underlining, or changing the color. Alternatively, the aggregation of problematic behaviors may be performed for each observed person Ut. That is, in this example, the information processing device 10 includes an aggregation unit that aggregates problematic behaviors in logs for each group (when the organization has multiple groups) and a presentation unit that presents information indicating the aggregation results of problematic behaviors.

In another example, the list display screen includes the elapsed time of the problematic behavior. The elapsed time of the problematic behavior refers to the time elapsed since the time the behavior log was entered (or the time the behavior related to that behavior log occurred). The elapsed time is indicated, for example, by a numerical value (e.g., "10 hours," "2 days," etc.). Alternatively, the elapsed time is indicated by highlighting behavior logs whose elapsed time meets a condition (e.g., whose elapsed time exceeds a threshold) more than other behavior logs. In other words, this example is one in which the information processing device 10 has a measurement means for measuring the elapsed time since the problematic behavior in the log, and a presentation means for presenting information indicating the measured elapsed time.

By adding this information to the list display screen, relevant parties can easily understand the occurrence of problematic behavior and the amount of time that has passed since it occurred. For example, by looking at the list display screen, relevant parties can see which groups have a high incidence of problematic behavior and how much time has passed since the occurrence of each problematic behavior.

3-9. Obtaining an Action Log In the embodiment, an example has been described in which the observer Us inputs an action log, but the method of recording an action log is not limited to this. The information processing device 10 may record information acquired from other systems as the action log of the observer Us. The other systems include, for example, at least one of an attendance management system, an IT security system, and a personnel evaluation system. In one example, the information processing device 10 is set up to link with these systems. For example, when the observer Us inputs an action log related to "lateness/absence" for a certain observed person Ut, the information processing device 10 obtains the record of the observed person Ut's arrival time from the attendance management system,
The action log is recorded in the log database 111. For example, when the observer Us inputs an action log related to "poor performance" for a certain observed person Ut, the information processing device 10 acquires the PC operation log of the observed person Ut from the IT security system and records it as an action log in the log database 111. For example, when the observer Us inputs an action log related to "lack of ability" for a certain observed person Ut, the information processing device 10 acquires the record of the personnel evaluation of the observed person Ut from the personnel evaluation system and records it as an action log in the log database 111. According to this example, it is possible to reduce the effort required for the observer Us to input information.

3-10. Analysis of Behavior Logs In the embodiment, an example has been described in which a document in a predetermined format is created from the behavior log, but the method of using the behavior log is not limited to this example. For example, instead of or in addition to creating a document, the information processing device 10 may display the results of analyzing the contents of the behavior log on the user terminal 20. The analysis results include, for example, the number of occurrences of problematic behavior, the number of occurrences by type of problematic behavior, and the occurrence trend of problematic behavior.

When analyzing the behavior log, the information processing device 10 may extract potentially problematic parties from the behavior log and the contents of the rules database 114. The extraction of potentially problematic parties is performed using, for example, AI technology. AI technology includes an LLM or a machine learning model. When an LLM is used, the information processing device 10 inputs instructions to the LLM to extract potentially problematic parties from the behavior log and work rules. When a machine learning model is used, the machine learning model is trained by providing data indicating past behavior logs and the presence or absence of problematic behavior (or disciplinary action) to the input layer and the presence or absence of problematic behavior (or disciplinary action) to the output device as training data. In other words, this example is one in which the information processing device 10 has extraction means for extracting potentially problematic parties from the log and work rules.

3-11. Other Organizations that use the recording service are not limited to businesses. This recording service may be used by any organization, including non-business organizations such as government agencies, local governments, and non-profit organizations, educational institutions such as schools and cram schools, medical and nursing care facilities such as hospitals and nursing homes, and sports facilities such as baseball stadiums and soccer fields.

The behaviors recorded in the recording service are not limited to problematic behaviors. Behaviors that should be well-received within the organization or behaviors that are recommended may also be recorded.

The user classification is not limited to the example embodiment. Other classifications may be used instead of or in addition to observer, observed, and advisor.

The UI and data described in the embodiments are merely examples. Some or all of these may be replaced with other forms of UI or data. Furthermore, the databases described as multiple databases in the embodiments may be partially combined and operated as a single database.

The functional configuration and hardware configuration of the information processing system 1 described in the embodiments are merely examples. Some of the functional elements or hardware elements described in the embodiments may be omitted, or new functional elements or hardware elements may be added. Furthermore, the correspondence between the functional elements and hardware elements described in the embodiments is also merely examples. Each functional element may be implemented in any hardware as long as it can implement the functions required of the information processing system 1. For example, at least some of the functions described in the embodiments as being possessed by the information processing device 10 may be implemented in the user terminal 20. Note that the information processing device 10 may be a physical server or a virtual server (including so-called cloud).

Programs executed by processing devices such as CPU 101 may be distributed in a form recorded on a computer-readable non-transitory recording medium (e.g., DVD-ROM), or may be provided in a form that can be downloaded from a server on a network.

1...information processing system, 10...information processing device, 11...storage means, 12...receiving means, 13...writing means, 14...determination means, 15...registration means, 16...output means, 17...creation means, 19...control means, 20...user terminal, 30...network, 91...area, 92...area, 93...area, 101...CPU, 102...memory, 103...storage device, 104...communication device, 107...bus, 111...log database, 112...case database, 113 ...User database, 114...Rule database, 201...CPU, 202...Memory, 203...Storage device, 204...Communication device, 205...Input device, 206...Output device, 207...Bus, 601...Area, 602...Button, 603...Button, 611...Input field, 612...Input field, 613...Input field, 614...Input field, 615...Input field, 616...Area, 617...Checkbox, 618...Button, Ua...Advisor, Us...Observer, Ut...Observed

Claims (14)

a receiving means for receiving an input of a log of actions of a person involved in an organization, the log including a designation of one of a plurality of defined types;
a write means for writing the log into a log database;
a determination means for determining whether the logs registered in the log database satisfy a grouping condition;
a registration means for registering a group related to the log in a group database when the log is determined to satisfy the grouping condition;
a creation means for creating a document in a predetermined format from the contents of logs related to the group among the logs recorded in the log database when it is determined that the case registered in the group database satisfies the conditions for document creation ;
an output means for outputting information about the group to a terminal of a registered advisor when the request is received from the terminal of the advisor;
An information processing device having the above. The information processing apparatus according to claim 1 , further comprising: an output unit configured to, upon receiving a request from a terminal of a registered observer, output information relating to the logs recorded in the log database to the terminal. The information processing apparatus according to claim 1 , further comprising: a suggestion unit that suggests an input template for the log including items according to the type of the action. The information processing device according to claim 3 , wherein the items include explanations from the parties involved. The information processing device according to claim 3 , wherein the items include a response of the organization. The information processing device according to claim 3 , wherein the items include a notice from the organization to the person concerned. an access means for accessing the organization's work rules;
The information processing apparatus according to claim 1 , further comprising: an extracting unit that extracts clauses from the work rules that may conflict with the behavior; and a presenting unit that presents the extracted clauses. The information processing device according to claim 7 , wherein the extraction means extracts people who are likely to potentially cause problems from the log and the work regulations. The information processing apparatus according to claim 1 , wherein the accepting unit accepts input of the log by voice of a recorder. a text conversion means for converting the speech into text;
The information processing apparatus according to claim 9 , further comprising: annotation means for adding annotations to the text based on the voice. the organization has a plurality of groups,
aggregating means for aggregating problematic behaviors in the log for each group;
The information processing device according to claim 1 , further comprising: a presentation unit that presents information indicating the result of the problem behavior aggregation. a measuring means for measuring the elapsed time from the problematic behavior in the log;
The information processing apparatus according to claim 1 , further comprising: a presentation unit that presents information indicating the measured elapsed time. receiving an input of a log of actions of a person involved in an organization, the log including a designation of one of a plurality of defined types;
writing the log to a log database;
a step of determining whether the logs registered in the log database satisfy a grouping condition;
If it is determined that the log satisfies the grouping condition, registering the group related to the log in a group database;
a step of creating a document in a predetermined format from the contents of logs related to the group among the logs recorded in the log database when it is determined that the case registered in the group database satisfies the conditions for creating a document ;
receiving a request from a terminal of a registered advisor, outputting information about the group to the terminal;
An information processing method comprising: On the computer,
receiving an input of a log of actions of a person involved in an organization, the log including a designation of one of a plurality of defined types;
writing the log to a log database;
a step of determining whether the logs registered in the log database satisfy a grouping condition;
If it is determined that the log satisfies the grouping condition, registering the group related to the log in a group database;
a step of creating a document in a predetermined format from the contents of logs related to the group among the logs recorded in the log database when it is determined that the case registered in the group database satisfies the conditions for creating a document ;
When a request is received from a terminal of a registered advisor, outputting information about the group to the terminal;
A program to execute.