JP7690250B2 - Management system, information processing device, management method, and program - Google Patents

Description

This disclosure relates to a management system, an information processing device, a management method, and a program.

In recent years, teleworking has been promoted as a flexible way of working that is not restricted by location or time. Since teleworking is done at a location away from the work manager, such as at home, the work is done outside the direct control of the manager. For this reason, there is a need to be able to check the working status of teleworkers, such as whether they are actually working.

For example, by using the technology disclosed in Patent Document 1, it is possible to identify the working status of teleworkers.

Patent No. 6147967

However, teleworkers belong to a variety of departments within a company. For this reason, even if the technology described in Patent Document 1 is used, if the working status is evaluated uniformly, there may be teleworkers whose working status is appropriately evaluated and teleworkers whose working status is not appropriately evaluated. This poses the problem that the working status of teleworkers cannot be evaluated fairly.

Therefore, the present disclosure aims to provide a management system, information processing device, management method, and program that can fairly evaluate the working status of teleworkers.

The management system according to the present disclosure includes an acquisition unit, a status identification unit, and an evaluation unit, the acquisition unit is configured to acquire detection information that is information related to a user's actions, the status identification unit identifies the user's working status based on the detection information, and the evaluation unit evaluates the user based on the user's working status and the user's performance.

The information processing device according to the present disclosure includes an acquisition unit, a state identification unit, and an evaluation unit, and the acquisition unit is configured to acquire detection information that is information regarding a user's actions, the state identification unit identifies the user's working state based on the detection information, and the evaluation unit evaluates the user based on the user's working state and the user's performance.

In addition, in the management method according to the present disclosure, an acquisition unit acquires detection information, which is information related to the user's actions, a status identification unit identifies the user's working status based on the detection information, and an evaluation unit evaluates the user based on the user's working status and the user's performance.

The program according to the present disclosure also causes a computer to execute a process including an acquisition unit acquiring detection information, which is information relating to a user's actions, a status identification unit identifying the user's work status based on the detection information, and an evaluation unit evaluating the user based on the user's work status and the user's performance.

This disclosure makes it possible to fairly evaluate the working status of teleworkers.

1 is a block diagram showing an overall configuration of a management system 1. 1 is a block diagram showing a functional configuration of an information processing device 10. FIG. FIG. 2 is a block diagram showing the functional configuration of the server 20. FIG. 2 is a diagram showing the data structure of an employee information DB 221. FIG. 2 is a diagram showing the data structure of a registration information DB 222. FIG. 2 is a diagram showing the data structure of a log information DB 224. FIG. 2 is a diagram showing the data structure of personal information DB 225. 4A and 4B are diagrams showing examples of screens displayed by the information processing device 10. FIG. 3 is a diagram showing an example of a user screen 310. 11A and 11B are diagrams illustrating an example of screen transition of a user screen 310. 10 is a flowchart showing an example of a flow of comment processing by the information processing device 10. 13 is an example of a screen showing comments. 10 is a flowchart showing an example of a flow of a proposal process performed by the information processing device 10. 13 is an example of a screen in which recommended tasks that have been set are presented in a selectable manner. 11A and 11B are diagrams illustrating an example of screen transition of a user screen 310. 10 is a flowchart showing an example of a flow of a recommended business setting process performed by the server 20. 10 is a flowchart showing an example of a flow of a progress estimation process performed by a server 20. 10 is a flowchart showing an example of a flow of an evaluation display process performed by the information processing device 10. FIG. 13 is a diagram showing an example of a screen displaying an evaluation result. FIG. 13 is a diagram showing an example in which the evaluation is ABC evaluation. FIG. 13 is a diagram showing an example in which the evaluation is a score. 10 is a flowchart showing an example of a flow of an evaluation process performed by the server 20. 11 is a diagram showing an example of an evaluation management screen presented by a presentation unit 133 of an information processing device 10 operated by an administrator. FIG. 11A and 11B are diagrams illustrating an example of screen transition of a user screen 310. 10 is a flowchart showing an example of a flow of a relearning process performed by the server 20. 2 is a block diagram showing a configuration of a management system 2. FIG. 11 is a flowchart showing an example of a flow of comment processing by the terminal 40. 10 is a flowchart showing an example of a flow of an evaluation process performed by the server 20.

Below, an embodiment of the present disclosure will be described with reference to the drawings. In the following description, the same parts are given the same reference numerals. Their names and functions are also the same. Therefore, detailed descriptions thereof will not be repeated.

First Embodiment
The following describes the management system 1. In this embodiment, an example will be described in which the management system 1 evaluates the working status of a user who is an employee.

<1. Overall configuration of management system 1>
FIG. 1 is a block diagram showing the overall configuration of the management system 1. The management system 1 is a system for acquiring detection information, which is information about a detected user's behavior, judging the user's working state based on the detection information, and evaluating the user based on the user's working state and the user's performance. As shown in FIG. 1, the management system 1 includes an information processing device 10, a server 20, and a network 30. The information processing device 10 and the server 20 are connected to each other via the network 30 so that they can communicate with each other. The network 30 is configured by a wired or wireless network. The information processing device 10 and the server 20 are connected to the network 30 using any wired or wireless communication standard. Here, a collection of each device (for example, the information processing device 10 and the server 20) constituting the management system 1 can be grasped as one "information processing device". In other words, the management system 1 may be realized as a collection of multiple devices, and the allocation of multiple functions for realizing the management system 1 may be appropriately determined based on the processing capacity of the hardware of each device.

The information processing device 10 is a device used by a user. The information processing device 10 is, for example, a smartphone, a tablet terminal, a laptop computer, etc. A user may own multiple information processing devices 10 out of a smartphone, a tablet terminal, and a laptop computer, etc. The information processing device 10 is configured to include a processor 11, a memory 12, a storage 13, a communication IF 14, and an input/output IF 15.

The processor 11 is hardware for executing a set of instructions written in a program, and is composed of an arithmetic unit, registers, peripheral circuits, etc.

Memory 12 is used to temporarily store programs and data processed by the programs, and is a volatile memory such as a DRAM (Dynamic Random Access Memory).

Storage 13 is a storage device for saving data, such as a flash memory, a hard disc drive (HDD), or a solid state drive (SSD).

The communication IF 14 is an interface for inputting and outputting signals so that the information processing device 10 can communicate with external devices.

The input/output IF 15 functions as an interface with an input device (e.g., a pointing device such as a mouse, a keyboard) for receiving input operations from the user, and an output device (a display, a speaker, etc.) for presenting information to the user.

The server 20 includes a processor 11, a memory 12, a storage 13, a communication IF 14, and an input/output IF 15. The memory 12, the storage 13, the communication IF 14, and the input/output IF 15 are similar to the processor 11, the memory 12, the storage 13, the communication IF 14, and the input/output IF 15, respectively, and therefore will not be described.

<1.1. Functional configuration of information processing device 10>
2 is a block diagram showing a functional configuration of the information processing device 10. As shown in FIG. 2, the information processing device 10 includes a communication unit 110 and a control unit 130.

The communication unit 110 performs processing for the information processing device 10 to communicate with external devices.

The control unit 130 performs the functions of the reception control unit 131, the transmission control unit 132, the presentation unit 133, the input unit 134, and the acquisition unit 135 by the processor 11 of the information processing device 10 performing processing according to a program.

The reception control unit 131 controls the process in which the information processing device 10 receives signals from external devices according to a communication protocol.

The transmission control unit 132 controls the process in which the information processing device 10 transmits a signal to an external device according to a communication protocol. For example, the transmission control unit 132 transmits information acquired by the information processing device 10.

The presentation unit 133 controls the process of displaying various screens to the user. Details will be described later.

The input unit 134 controls the process of accepting input of specific data from the user. Details will be described later.

The acquisition unit 135 controls the process of acquiring information from which the actions of a user using the information processing device 10 can be estimated. Hereinafter, information from which the actions of a user can be estimated is referred to as detection information. Details will be described later. For example, the detection information may be an operation log acquired when the user operates the information processing device 10, or a video image captured of the user using the information processing device 10. In this embodiment, a case in which the detection information is an operation log will be described as an example.

The operation log includes a log of a user operating an input device (hardware) connected to the input/output IF 15 of the information processing device 10, a log of an application operation, or a log of an OS operation, etc.

The hardware operation log includes, for example, information indicating which key was entered on the keyboard, the number of times a key was entered, etc. The hardware operation log also includes position information detected by a pointing device such as a mouse, touchpad, or touch panel, and information on the user's operation determined based on the position information (e.g., drag, swipe, flick, long tap, etc.). Specifically, the hardware operation log can include information indicating which position information was clicked by a pointing device such as a mouse, trackball, or touch-sensitive device, the number of clicks, audio information input by a microphone, the number of utterances, information on flick operations on a touch panel, the number of flick operations, etc.

The application operation log can include a log of operations input by the user when using the application. For example, if the application is presentation material creation software, the log includes various information such as the application name, file name, item names within the file, information indicating which function was used, input character information, error information, information on the operation to add a new slide, etc. If the application is email software, the log includes header information of emails sent and received, setting information, etc. If the application is for creating documents, the log of the application operation can include the number of characters entered, the number of times characters were converted, the number of pages created, the content entered (entering characters, modifying characters, inserting images or videos, etc.), etc.

The OS operation log may include information on which applications have become active, information on changes to OS settings, information on putting the information processing device 10 to sleep, information on waking it up from a sleep state, and information on the usage status of hardware resources (e.g., CPU usage, memory usage, network usage, etc.).

<1.2. Functional configuration of server 20>
3 is a block diagram showing the functional configuration of the server 20. As shown in FIG. 3, the server 20 includes a communication unit 210, a storage unit 220, and a control unit 230.

The communication unit 210 performs processing for the information processing device 10 to communicate with external devices.

The memory unit 220 stores data and programs used by the information processing device 10. The memory unit 220 stores an employee information DB 221, a registration information DB 222, a learning model DB 223, a log information DB 224, a personal information DB 225, etc.

Employee information DB221 is a database that holds data related to employee information. Details will be described later.

The registration information DB222 is a database that holds registration data for terminals used by employees for telework. Details will be described later.

The learning model DB223 is a database for holding data on various models used in the management system 1. The learning model DB223 holds models such as evaluation models, specific models, setting models, and comment models, and their parameters. Each model is, for example, a trained model, and may employ a regression model or a neural network. If the model is trained, it holds parameters that have been trained in advance by the learning unit 238 described below.

Log information DB224 is a database for storing data on operation logs of users operating terminals. Details will be described later.

Personal information DB225 is a database for storing users' track records. Details will be described later.

The control unit 230 performs the functions of a reception control unit 231, a transmission control unit 232, an information identification unit 233, a state identification unit 234, a progress estimation unit 235, an evaluation unit 236, a setting unit 237, and a learning unit 238 by the processor 11 of the information processing device 10 performing processing according to a program.

The reception control unit 231 controls the process in which the information processing device 10 receives signals from external devices according to a communication protocol.

The transmission control unit 232 controls the process in which the information processing device 10 transmits signals to external devices according to a communication protocol.

The information identification unit 233 controls a process for identifying desired information from the detection information transmitted from the information processing device 10. The desired information is, for example, information used to identify the user's work status. Hereinafter, the information used to identify the user's work status is referred to as first information. The work status represents a state that the user can be in when working using the information processing device 10. For example, the work status includes states such as break, out, at desk, away from desk, working, meeting, and conference. The work status also includes specific tasks that the user performs by operating an application, such as creating presentation materials, creating document materials, or conducting research. Details will be described later.

The status identification unit 234 controls the process of identifying the user's work status based on the identified first information.

The progress estimation unit 235 estimates the progress of the current task based on the identified working state and the operation log. The progress indicates the progress of the task performed by the user. The progress can be indicated by the ratio of the time spent on the task to the average task time corresponding to the task, the degree of completion of the current task, the completion rate of items that should be entered in the file, etc. Details will be described later.

The evaluation unit 236 controls the process of evaluating a user based on the user's working status and the user's performance. The evaluation is an evaluation of the user's work. Any evaluation method can be used, such as ABC evaluation or point evaluation. The evaluation unit 236 evaluates each task performed in a day, for example. The evaluation unit 236 also evaluates the tasks performed by the user over any period, such as a week, a month, or a year. Details will be described later.

The setting unit 237 controls the process of setting recommended tasks based on previously acquired task content and operation logs. Recommended tasks are tasks that are estimated to be currently performed by the user of the information processing device 10. Details of setting recommended tasks will be described later.

The learning unit 238 controls the process of learning or relearning the parameters of various learning models. Details will be described later.

2. Data Structure
Fig. 4 is a diagram showing the data structure of the employee information DB 221. As shown in Fig. 4, each record of the employee information DB 221 includes an item "user ID", an item "user name", an item "attributes", and the like.

The "User ID" item is an ID for identifying users who are employees. Each user is assigned a different ID. This is the same for other databases. In other words, the user ID is used as a primary key for linking information between other databases. Note that the primary key is not limited to the user ID, and other information may be prepared as the primary key.

The "User name" item is the user's name.

The "attribute" item is a user's attribute. There are various variations in attributes. For this reason, the "attribute" item includes sub-items such as the "department", "job title", "project", and "work style". The "department" item represents the group to which the user belongs, for example, a department. The "job title" item represents the user's position in the organization to which the user belongs, for example, a job title. If there are multiple job titles, multiple job titles are registered. The "project" item represents the collective work to which the user is assigned, for example, information on a project. If there are multiple projects, multiple projects are registered. The "work style" item represents the work style set for the user.

The "Work Style" item includes proposed work, where employees work at fixed hours, flextime, where employees work at different times, and discretionary work, where working hours are left to the discretion of the user. Further subitems (e.g., year of joining the company, employment type, etc.) can be added to the "Attributes" item as necessary.

Figure 5 is a diagram showing the data structure of the registration information DB 222. As shown in Figure 5, each record in the registration information DB 222 includes an item "user ID", an item "registered terminal", etc.

The "Registered Device" item is information about a registered device. There are many variations in the device that can be registered. For this reason, the "Registered Device" item includes sub-items such as the "Provided PC", "Provided Smartphone", and "Other". The "Provided PC" item is information about an information processing device for work, such as a PC, that the company has provided to the user. The "Provided Smartphone" item is information about an information processing device for communication, such as a smartphone, that the company has provided to the user. The "Other" item is information about personal devices that the company has authorized the user to use when performing business. Information about registered devices includes, for example, a unique number for the terminal, such as a management number within the company.

Figure 6 is a diagram showing the data structure of log information DB224. As shown in Figure 6, each record in log information DB224 includes an item "user ID", an item "date", an item "operation log", etc.

The "Date" item is the date the operation log was obtained.

The "operation log" item is information about the operation log. The "operation log" item includes sub-items such as the "time" item, the "terminal ID" item, and the "log" item as information about the operation log.

The "Time" item is the time (timestamp) of the operation log. The "Time" item is the time when the operation log is sent from the information processing device 10, the time when the application used by the information processing device 10 is switched, or the time after a predetermined time has elapsed since the operation log from the information processing device 10 was no longer received. In the example of FIG. 6, the "Time" item describes the time when the application was switched by operating the OS, but the description of the "Time" item is not limited to this. For example, the "Time" item may also describe the time for the log of the hardware operation and the log of the application operation.

The "Terminal ID" item is the ID of the terminal that acquired the operation log. It includes an ID that corresponds to the "Registered Terminal" in the registration information DB222.

The "Log" item indicates the contents of the operation log. If "None" is entered, it indicates that there is no log between them. In the example of FIG. 6, the "Log" item describes the application that was switched by the OS operation, but the contents described in the "Log" item are not limited to this. For logs of hardware operations and logs of application operations, the "Log" item describes a log according to the contents of the operation. For example, as described above, if the operation log is a log of hardware operations, the "Log" item describes information indicating which key was entered. If the operation log is a log of an application operation, the "Log" item describes information such as the file name used in the application, the item name in the file, or the function name used.

Figure 7 is a diagram showing the data structure of personal information DB225. As shown in Figure 7, each record in personal information DB225 includes an item "user ID", an item "date", an item "evaluation", an item "work status", an item "time", an item "grade", etc.

The "Date" item is the date on which the user was evaluated.

The "Evaluation" item is information that indicates the evaluation result of the user's work for one day. Note that in the example of FIG. 6, the evaluation is an ABC evaluation, but this is not limited to this. Various variations such as specific scores can be adopted. Also, the ABC evaluation is not limited to the three ranks of A, B, and C, but includes any range of ranks such as A to E. Note that evaluations for any period such as one week, one month, or one year may be added to the "Evaluation" item.

The item "Work status" indicates the specific work content performed by the user on the corresponding day. The item "Work status" is identified by the status identification unit 234 based on the operation log, or is identified based on input from the user.

The "Time" item indicates the time when the work described in the "Work Status" item was performed. As an example, it shows that user ID #0001 held a meeting for 1 hour and 5 minutes on 2020/4/1 (Figure 7). Note that the "Time" item may also contain the actual time, such as "9:00-10:05".

The "Performance" item indicates the evaluation of the work described in the "Work Status" item. The performance can be the degree of progress for the work, the user's track record, or a value relative to the average time spent on the work by users with the same attributes. In this embodiment, the performance is evaluated using an ABC scale, but this is not limited to this.

<3. Operation>
The processing in the management system 1 will be described below with reference to the drawings.

<3.1. Starting and Ending Management System 1>
First, the start and end of the overall processing for a user's work in the management system 1 will be described. In the management system 1, the presentation unit 133 of the information processing device 10 presents a user screen 310 related to the management system 1 to the user. Fig. 8 is a diagram showing an example of a screen displayed by the information processing device 10. As shown in Fig. 8, the user is presented with the user screen 310 within the screen 300. In the example of Fig. 8, the user screen 310 is displayed as a part of a wide screen such as a PC, but when the information processing device 10 is a terminal having a small display such as a smartphone, the user screen 310 may be presented to occupy the entire screen or most of the screen.

Figure 9 is a diagram showing an example of a user screen 310. When starting processing by the management system 1, the presentation unit 133 first presents the user screen 310A shown in Figure 9 to the user. The user screen 310A includes a button for instructing the start of management, for example, a start work button 311. When the start work button 311 is pressed, for example, via mouse operation, the information processing device 10 starts processing in the management system for that user. In addition, when the start work button 311 is pressed, the transmission control unit 132 transmits the user ID and information indicating that work has started to the server 20.

When the server 20 receives the user ID and information indicating that work has started, it starts processing for that user in the management system 1. The server 20 stores in the log information DB 224 that the user has started work.

For regular workers, the presentation unit 133 may present a countdown of the work start time without displaying the work start button 311. For example, the presentation unit 133 may start a countdown a predetermined time before the work start time, and start each process as soon as the countdown value reaches 0. In this case, processing for the presented worker is started without transmitting to the server 20 the user ID and information indicating that work has started.

When a work shift begins, the presentation unit 133 transitions the user screen 310 from user screen 310A to user screen 310B shown in FIG. 10. FIG. 10 is a diagram showing an example of a screen transition of the user screen 310. The user screen 310B displays the user's work status. Specifically, the user screen 310B displays the time elapsed since the start of work, the user's current work status, an icon for the user to input the work status, and the work status history from the start of work.

When the workday begins, the presentation unit 133 displays the time that has elapsed since the start of work at the top of the user screen 310B. In the example of FIG. 10, this corresponds to the part that displays "2 hours and 32 minutes have elapsed since the start of work."

On the user screen 310B, the user's current work status is displayed in the task display section 312. Icons for the user to input their work status are displayed as a break button 313 and an end work button 314. The work status history from the start of work is displayed on a lap time screen 315.

The task display section 312 displays the user's current work status. A button for opening a pull-down menu is located on the right side of the task display section 312. Details of the task display section 312 will be described later.

The break button 313 is an example of an icon that allows the user to input the working status. The break button 313 is a button that accepts break start/break end from the user. By default, the break button 313 displays "Break". When the break button 313 is pressed, the display of the break button 313 changes to "Break End". When the break button 313 is pressed, the acquisition unit 135 stops acquiring the detection information. When the break button 313 is pressed, the transmission control unit 132 transmits information indicating that the break button 313 has been pressed to the server 20. When the break button 313 that displays "Break End" is pressed again, the display of the break button 313 returns to "Break".

The end of work button 314 is an example of an icon that allows the user to input their work status. The end of work button 314 is a button for accepting the end of work from the user. When the end of work button 314 is pressed, the entire processing in the management system 1 for that user ends. Furthermore, when the end of work button 314 is pressed, the transmission control unit 132 sends a notification to the server 20 that the user's work has ended. When the server 20 receives this information, it ends the processing in the management system 1 for that user. The server 20 stores in the log information DB 224 that the user has ended their work. Note that the end of work button 314 does not need to be provided for users whose work status is regular work.

The lap time screen 315 displays the history of the work status from the start of the workday. The lap time screen 315 displays how much time was spent in each work status. This makes it possible to display how much time the user spent on each task. The lap time screen 315 also displays detailed content of the task. The detailed content of the task is determined, for example, based on the operation log. In the example of FIG. 9, the presentation unit 133 displays the work status "Document creation", the task content "Budget 2020", and the lap time "0:37" on the lap time screen 315. Here, the task content is the file name of the target that the user is operating, the item name in the file, the project name, etc. In addition, in the lap time, the actual time may be displayed instead of the time spent, such as "9:00 to 10:05". In addition, the lap time screen 315 can also be hidden.

<3.2. Comment processing in management system 1>
Next, each step of comment processing by the management system 1 in this embodiment will be described with reference to Fig. 11. Fig. 11 is a flowchart showing an example of a flow of comment processing by the information processing device 10. In the comment processing, the information processing device 10 presents a comment based on the progress of a task currently being performed by the user to the user in real time.

In step S111, an operation log of the user's operation of the information processing device 10 is acquired. Specifically, the acquisition unit 135 acquires a log of operation of the hardware of the information processing device 10, a log of operation of an application installed in the information processing device 10, or a log of operation of the OS installed in the information processing device 10. The acquisition unit 135 acquires an operation log, for example, each time an operation occurs.

In step S112, the transmission control unit 132 transmits the acquired operation log to the server 20. The transmission control unit 132 may be configured to transmit the operation log to the server 20 in batches at a predetermined time interval (e.g., any time interval such as 30 milliseconds, 1 second, 5 seconds, 10 seconds, or 1 minute).

The server 20 estimates the progress of the task being performed by the user based on the operation log sent from the information processing device 10. The estimation process will be described in detail later. The server 20 transmits the estimated progress to the information processing device 10.

In step S113, the reception control unit 131 receives the progress sent from the server 20.

In step S114, the presentation unit 133 presents a display based on the received progress. For example, the presentation unit 133 presents a comment based on the received progress.

Specifically, for example, a plurality of comments are stored in advance in the storage 13. The presentation unit 133 selects a comment based on, for example, the degree of progress and the time required for the task. The presentation unit 133 presents the selected comment to the user.

For example, if the progress is faster than expected for the time taken, the presentation unit 133 selects the comment "Good progress" and presents it to the user. Also, if the progress is slower than expected for the time taken, the presentation unit 133 selects the comment "Taking longer than usual" and presents it to the user. If the progress is particularly slow for the time taken, an alert may be issued.

The presentation unit 133 may acquire the comment by using a trained model that has been trained to output a comment in response to the input when the progress level and the time required are input.

Figure 12 shows an example of a screen on which a comment is presented. As shown in Figure 12, the presentation unit 133 presents the comment by transitioning the user screen 310 to user screen 310C. User screen 310C includes a comment section 316. Comments according to the progress level are displayed in the comment section 316.

The information processing device 10 accepts the degree of progress estimated based on the sent operation log. This type of comment processing allows the user to grasp the progress of the work in real time. In addition, the user's motivation can be improved by seeing positive comments or praising comments. The presentation unit 133 may display the received degree of progress as a comment in the comment unit 316.

Note that the server 20 may create a comment according to the estimated degree of progress. In this case, the reception control unit 131 receives the comment created by the server 20, and the presentation unit 133 presents the comment. In this case, it is possible to leave higher load processing to the server 20.

For simplicity of explanation, the acquisition and transmission process in steps S111 and S112 and the reception and presentation process in steps S113 and S114 have been explained in the same flow, but these processes may be performed at independent times. In particular, the acquisition and transmission process in steps S111 and S112 is performed when an operation is performed or at a predetermined time interval.

<3.3. Proposal process in management system 1>
Next, each step of the proposal process by the management system 1 in this embodiment will be described with reference to Fig. 13. Fig. 13 is a flowchart showing an example of a flow of the proposal process by the information processing device 10. In the proposal process, the management system 1 proposes to the user a recommended task that should currently be performed.

The server 20 sets the tasks to be performed by the user of the information processing device 10 based on the user's past work status, operation logs, etc. Details of the setting process will be described later. The server 20 transmits information about the set tasks to the information processing device 10 in advance, for example, at a specified timing.

The reception control unit 131 receives information about the tasks that the user is to perform from the server 20. The reception control unit 131 stores the received information in the storage 13.

When starting work or switching from one work state to the next, the user operates the information processing device 10 to input the work state into the task display section 312 of the user screen 310. Specifically, the user presses the pull-down button 318 located to the right of the task display section 312.

In step S121, the input unit 134 detects that the user has pressed the pull-down button 318.

In step S122, the presentation unit 133 presents the tasks to be performed by the user in a selectable manner based on the information about the recommended tasks stored in the storage 13. FIG. 14 shows an example of a screen on which the set recommended tasks are presented in a selectable manner.

In the example shown in FIG. 14, the presentation unit 133 transitions the user screen to user screen 310D as shown in FIG. 14. That is, the presentation unit 133 opens and displays a pull-down menu 317 below the task display unit 312. The pull-down menu 317 displays selectable tasks recommended to the user, such as "meetings," "document creation," "material creation," and "email." The recommended tasks set are set for each user, so the recommended tasks presented here may not necessarily be the same as those for other users.

In step S123, the input unit 134 accepts a task selection by the user. When one of the displayed recommended tasks is selected, the presentation unit 133 causes the task display unit 312 to display the selected task as the current work status.

The user may directly input the task that the user has selected. For example, the input unit 134 accepts the user's selection of the task display unit 312. When the user selects the task display unit 312, the presentation unit 133 transitions the user screen 310 to, for example, the user screen 310E shown in FIG. 15.

The user screen 310E shown in FIG. 15 includes a task input section 324, an OK button 325, and a Cancel button 326. The task input section 324 is a text box for inputting the task that the user is going to perform. The OK button 325 is a button for accepting the input of text entered in the task input section 324. The Cancel button 326 is a button for canceling the direct input of the task. When the OK button 325 is pressed, the presentation unit 133 causes the input task to be displayed in the task display section 312. When the Cancel button 326 is pressed, the presentation unit 133 causes the user screen 310 to transition to the user screen 310D.

In step S124, the transmission control unit 132 transmits the input or selected task to the server 20 as the task to be currently performed, and ends the process. In this way, according to the suggestion process, the information processing device 10 presents recommended tasks that can be selected, thereby saving the user the trouble of manually inputting the tasks themselves. Furthermore, since the server 20 suggests to the user what task to perform next, the user can proceed with the work efficiently. Furthermore, since the content entered by the user can be standardized, the burden on the server 20 when analyzing the user's work status is reduced. Furthermore, the server 20 can grasp the user's current tasks in real time.

Although an example has been described in which recommended tasks are stored in advance in the information processing device 10, this is not limiting. When the user presses the task display unit 312, a signal requesting the recommended tasks may be sent to the server 20. Upon receiving the request, the server 20 sets the tasks to be performed by the user based on the past work status, operation logs, etc. The server 20 sends information about the set tasks to the information processing device 10.

3.4. Recommended business setting process in management system 1
A recommended business setting process by the management system 1 in this embodiment will be described with reference to Fig. 16. Fig. 16 is a flowchart showing an example of the flow of the recommended business setting process by the server 20. The recommended business setting process is started, for example, at a predetermined time, at predetermined time intervals, or when the user screen 310 becomes active due to a user operation.

In step S211, the setting unit 237 obtains past operation logs for the desired user from the log information DB 224, and obtains past work status for the desired user from the personal information DB 225.

In step S212, the setting unit 237 uses the setting model to set recommended tasks for a desired user based on the user's past working status and operation log. The setting model is, for example, a trained model that has been trained to output recommended tasks when the user's past working status and operation log are input.

The recommended tasks output by the configuration model do not have to be just one. The recommended tasks may be multiple tasks that are highly related to the user's past work status among multiple tasks that the user can perform.

The setting model may learn, as teacher data, not only the user's past working conditions and operation logs, but also past working conditions and operation logs that take into account the user's attributes. That is, the setting model may learn, as teacher data, the past working conditions and operation logs of other people in the group to which the user belongs, other people in the project in which the user is involved, other people with the same working style as the user, or other people who joined the company in the same year as the user. The setting unit 237 uses the setting model learned in this way to set recommended tasks for the desired user.

In step S213, when the transmission control unit 232 sets the recommended business, it refers to the registration information DB 222 and transmits information about the set business to the information processing device 10 owned by the desired user, and ends the process.

The setting unit 237 may assign a priority to the recommended tasks. For example, the setting unit 237 may assign a priority input by an administrator or the like, or may assign a priority according to a deadline.

<3.5. Progress Estimation Process in Management System 1>
A progress estimation process by the management system 1 in this embodiment will be described with reference to Fig. 17. Fig. 17 is a flow chart showing an example of the flow of the progress estimation process by the server 20.

In step S221, the reception control unit 231 receives the user ID and the operation log from the information processing device 10.

In step S222, the information identification unit 233 identifies the first information from the received operation log. Specifically, the information identification unit 233 obtains the first information, for example, by inputting the operation log into a pre-trained information identification model. The information identification model is a trained model that is trained in advance with the operation log as input and the first information as output. The information identification model outputs, as the first information, information used for state identification by the state identification unit 234, such as an application name, a file name, a log of operating hardware, etc. Note that, without being limited to the information identification model, the items of the operation log to be identified as the first information may be set in advance.

In step S223, the state identification unit 234 identifies the current work state based on the identified first information. Specifically, the state identification unit 234 obtains the work state, for example, by inputting the first information into a pre-trained state identification model. The state identification model is a trained model that is trained in advance with the first information as input and the work state as output.

Specifically, the state identification unit 234 inputs, for example, the application name, file name, input key, etc. used by the user as first information to the state identification model. Based on the input first information, the state identification model outputs, for example, the work state "Document creation."

The state identification unit 234 also inputs, for example, the name of an application being used by the user, the analysis results of the voice information, etc., as first information to the state identification model. Based on the input first information, the state identification model outputs, for example, a work state "meeting." Note that the state identification model may also output the meeting time.

The state identification model may learn, as training data, not only the first information of the individual user, but also the first information taking into account the attributes of the user. That is, the state identification model may learn, as training data, the first information of other people in the group to which the user belongs, other people in the project in which the user is involved, other people with the same work style as the user, other people with the same job title as the user, or other people who joined the company in a similar year to the user. The state identification unit 234 uses the state identification model learned in this way to identify the user's current work state.

The storage control unit (not shown) of the server 20 stores the identified work status in the personal information DB 225. If the current work status has been notified from the information processing device 10, the storage control unit stores the work status notified from the information processing device 10 in the personal information DB 225 with priority.

In step S224, when the current working state is identified, the progress estimation unit 235 estimates the progress of the current task based on the operation log. For example, the progress estimation unit 235 determines the percentage of the log of the application corresponding to the current task to the total amount of logs required for the entire task as the progress. The progress estimation unit 235 may calculate the progress based not only on the percentage of the amount of logs, but also on the degree of completion of the file being operated by the user, or the percentage of items that are filled in, etc. In addition, it may also be possible to take into account how much needs to be completed on the day depending on the delivery date. In this case, the progress estimation unit 235 calculates the progress based on the number of days or hours until the delivery date, etc.

For example, the progress estimation unit 235 estimates the progress of work since the current working status was established at a preset interval.

In step S225, the transmission control unit 232 transmits the estimated progress to the information processing device 10 and ends the process.

Note that, in the progress estimation process shown in FIG. 17, a case has been described in which the estimated progress is transmitted to the information processing device 10, but this embodiment is not limited to this. In step S224, the progress estimation unit 235 may create a comment based on the estimated progress. In this case, the progress estimation unit 235 obtains the comment, for example, by inputting the progress into a pre-trained comment model. The comment model is a trained model that is trained to receive the progress as input and output a comment according to the progress.

In the progress estimation process shown in FIG. 17, an example has been described in which the progress estimation unit 235 estimates the progress of the work since the current working state was established at a preset cycle, but this embodiment is not limited to this. When the progress estimation unit 235 detects a change in working state, it may estimate the progress (achievement) of the work in the working state before the change. This allows the user to understand how far the work progressed in the previous working state. In addition, the progress estimation unit 235 may evaluate the work based on the progress. At this time, the progress estimation unit 235 may relatively evaluate the work based on the progress of multiple other users. This allows the progress estimation unit 235 to assign a grade to each performed work.

Note that in FIG. 17, the work status determination process in step S223 and the progress estimation process in step S224 are described as being performed in the same flow, but these processes may be performed at independent times.

<3.6. Evaluation display process in management system 1>
Next, each step of the evaluation display process by the management system 1 in this embodiment will be described with reference to Fig. 18. Fig. 18 is a flowchart showing an example of the flow of the evaluation display process by the information processing device 10. In the evaluation display process, the information processing device 10 presents an objective and fair evaluation result of the user's own work to the user at the end of the user's shift, etc.

When the user presses the end of work button 314, the information processing device 10 starts the evaluation display process.

In step S131, the transmission control unit 132 sends a notification to the server 20 that the user's work has ended.

When the server 20 receives a notification of the end of work from the information processing device 10, it evaluates the user's work for that day. The server 20 transmits the evaluation result to the information processing device 10.

In step S132, the reception control unit 131 receives the evaluation result from the server 20. Any evaluation method can be used as the evaluation method, for example, ABC evaluation, point evaluation, etc.

In step S133, the presentation unit 133 presents the evaluation results to the user and ends the process. FIG. 19 shows an example of a screen that displays the evaluation results. The presentation unit 133 expands and transitions the user screen 310 to a user screen 310F that displays the evaluation results.

The user screen 310F includes a daily button 318A, a weekly button 318B, a monthly button 318C, a yearly button 318D, a title section 319, a graph section 320, a work status display section 321, and an evaluation result section 322.

The daily button 318A is a button for displaying the evaluation results for the current day. Similarly, the weekly button 318B, monthly button 318C, and yearly button 318D are buttons for displaying the evaluation results on a weekly, monthly, and yearly basis.

In FIG. 19, out of the daily button 318A, weekly button 318B, monthly button 318C, and yearly button 318D, only the daily button 318A is a different color. This indicates that the daily button 318A is selected. In other words, when any of the daily button 318A, weekly button 318B, monthly button 318C, and yearly button 318D is pressed, the presentation unit 133 changes the color of the corresponding button and displays the evaluation results for the corresponding period.

The title of the evaluation result screen is displayed in the title section 319. In the example of FIG. 19, it says "Your work today," which is displayed in this way because the daily button 318A is selected. Therefore, when any of the daily button 318A, weekly button 318B, monthly button 318C, and yearly button 318D is pressed, the presentation unit 133 changes the title section 319 to the corresponding notation and displays it.

Graph section 320 displays a graph showing the percentage of tasks performed by the user. The example in FIG. 19 shows a pie chart, but this is not limited to this. Task details can be visualized using various graphs such as histograms and line graphs depending on the purpose.

The work status display section 321 displays the user's work status for the day. In the example of FIG. 19, the work status for the day is displayed along with the time. Note that the display is not limited to the time, and it is also possible to display the aggregated time, the amount of work, the progress rate, etc. The same applies to weekly, monthly, and yearly display.

The evaluation result section 322 displays the user's evaluation results. Figure 20 shows an example of an ABC evaluation, and Figure 21 shows an example of an evaluation using a score.

In the example of FIG. 20, an ABC rating such as "B" is displayed as the evaluation result. At this time, an effect for the rating presented to the user may be displayed at the same time. In the example of FIG. 20, the presentation unit 133 displays an effect of adding text such as "Good" in the evaluation result section 322.

In the example of FIG. 21, a score such as "95 points" is displayed as the evaluation result. At this time, an effect for the evaluation presented to the user may be simultaneously displayed in a location other than the evaluation result section 322. In the example of FIG. 21, the effect is displayed in the evaluation effect section 323.

On user screen 310F, effects are not limited to text and still images. Video and audio may also be used as effects. By adding effects rather than simply displaying the evaluation, it is possible to give the user a greater sense of accomplishment and an opportunity to reassess their own work efficiency.

The presentation unit 133 may also display, on the work status display unit 321, the performance of each task and effects such as comments praising the performance. Such displays may be performed for only one task or for multiple tasks.

The presentation unit 133 may also display the total working hours on the screen that displays the evaluation results.

<3.7. Evaluation process in management system 1>
Next, each step of the evaluation process by the management system 1 in this embodiment will be described with reference to Fig. 22. Fig. 22 is a flow chart showing an example of the flow of the evaluation process by the server 20. In the evaluation process, the user is objectively and fairly evaluated based on the user's working condition at the end of the user's shift, etc. In other words, this is a process for specifically obtaining the evaluation result in the evaluation display process. Note that the following description will be given taking the case of evaluating one day's work as an example.

In step S231, the reception control unit 231 receives a notification of the end of a user's work from the information processing device 10. The end-of-work notification also includes the user ID, so the server 20 can determine which user's work has ended.

In step S232, the evaluation unit 236 evaluates the user's work for the day, for example, based on the user's working status throughout the day and the user's performance. The user's performance represents past evaluation results given to the user by the evaluation unit 236. The user's performance may include past evaluation results given to the user by the user's administrator. In other words, the user's performance may include past evaluation results that were artificially given to the user.

More specifically, the evaluation unit 236 outputs an evaluation of a user, for example, by inputting the user's working conditions for one day into an evaluation model. The evaluation model is, for example, a trained model trained using the user's past working conditions and the user's performance as training data, and inputs the user's working conditions for one day and outputs an evaluation of the working conditions for that day.

If a grade is assigned to each working state in a day, these grades may be taken into consideration. For example, the evaluation unit 236 outputs an evaluation of the user by inputting the user's working state in a day and the grades for each working state into an evaluation model. In this case, the evaluation model is, for example, a trained model trained using the user's past working states, the grades for each working state, and the user's track record as training data.

The evaluation unit 236 may be configured to evaluate the user based not only on the performance of the user, but also on the performance of other users (similar users) who have at least one of the same attributes as the user. Similar users are, for example, other users in a group to which the user belongs, other users in a project in which the user is involved, other users with the same work style as the user, other users with the same job title as the user, or other users who joined the company in a similar year to the user.

In this case, the evaluation model is, for example, a trained model trained using the user's past working conditions, similar users' past working conditions, the user's track record, and the track record of similar users as training data. The evaluation unit 236 outputs an evaluation of the user by inputting, for example, the user's attribute information and information on the user's daily working conditions into the evaluation model.

The evaluation model may be prepared for each attribute, or may be prepared to include multiple attributes. Also, the evaluation model may be prepared for each user, or may be prepared for multiple users.

In this way, by evaluating work status based on not only one's own performance but also the performance of similar users, an objective and fair evaluation can be made. It is also possible to evaluate work status by attributes within a department, within a project, between people in senior positions, etc.

In step S233, the transmission control unit 232 transmits the evaluation result to the information processing device 10 and terminates the process.

The above evaluation process is for daily, but for weekly, monthly, and yearly evaluation can be performed by using an average over multiple days, etc. In this case, each time the daily button 318A, weekly button 318B, monthly button 318C, and yearly button 318D are pressed, the information processing device 10 requests the server 20 to perform evaluation processing.

The evaluation unit 236 may also perform evaluations based on evaluations given by people such as administrators and evaluators. In this case, the evaluations given by people may be subjective or objective. Since there are factors such as the degree of contribution to the company that do not appear in the operation log, a fairer evaluation can be performed by taking this into account in the evaluation.

<3.8. Evaluation management process in management system 1>
Next, the evaluation management process by the management system 1 in this embodiment will be described with reference to Fig. 23. Fig. 23 is a diagram showing an example of an evaluation management screen presented by the presentation unit 133 of the information processing device 10 operated by an administrator with viewing authority. In the evaluation management process, the information processing device 10 collectively presents the evaluations of multiple users that it manages to the administrator.

The evaluation management process is started when an administrator or the like inputs a request to view the evaluation management screen into the information processing device 10. The evaluation management process is carried out regardless of whether the user is at work or not. In other words, when there is a request to view, the information processing device 10 starts the process regardless of whether the work start button 311 or the work end button 314 is pressed. The necessary data is read from various databases in the server 20.

The presentation unit 133 presents a management screen 400 as shown in FIG. 23. The management screen 400 includes a daily button 401A, a monthly button 401B, a yearly button 401C, a period button 401D, a group button 401E, a label button 401F, an add label button 401G, an overall status section 402, a work content section 403, an alert section 404, a live status section 405, a long work hours ranking button 406A, a short work hours ranking 406B, and an add ranking button 406C.

The daily button 401A is a button for displaying the evaluation results for the current day. Note that a configuration in which a deadline can be specified may also be used. Similarly, the monthly button 401B, the yearly button 401C, and the period button 401D are buttons for displaying the evaluation results by week, month, and year.

The group button 401E is a button for displaying the evaluation results for the specified group. The right part of the group button 401E is a button for opening a pull-down menu. When the group button 401E is pressed, a pull-down menu is opened and displayed. The pull-down menu is displayed so that a group according to attributes or a specified period group (quarterly, etc.) can be selected.

The label button 401F is a button for displaying the evaluation results for a preset label. A label is a group that meets any condition set by the administrator in advance. The label button 401F is a button for displaying the evaluation results for the label. The right part of the label button 401F is a button for opening a pull-down menu. When the label button 401F is pressed, the pull-down menu is opened and displayed. The pull-down menu displays selectable labels for groups that have been set in advance by the administrator, etc.

In FIG. 23, out of the daily button 401A, monthly button 401B, yearly button 401C, period button 401D, group button 401E, and label button 401F, only the daily button 401A is a different color. This indicates that the daily button 401A is selected. In other words, when any of the daily button 401A, monthly button 401B, yearly button 401C, period button 401D, group button 401E, and label button 401F is pressed, the presentation unit 133 changes the color of the corresponding button and displays the evaluation results for the corresponding period or group. Below, a case where the daily button 401A is pressed is described, but the corresponding processing is also performed for the monthly button, etc.

The add label button 401G is a button for adding a label. When the add label button 401G is pressed, an add label screen is displayed. The add label screen is not shown.

The overall status section 402 displays a graph showing the current status ratios of all users. Statuses include working, off (including on break), unknown, etc. The example in FIG. 23 shows a pie chart, but this is not limiting. The overall status can be visualized using various graphs such as histograms and line graphs depending on the purpose. The overall status section 402 can be calculated based on the operation log for each user, for example.

The work content section 403 displays a graph showing the percentage of work performed by all users on that day. The example in FIG. 23 shows a pie chart, but this is not limited to this. Work content can be visualized using various graphs such as histograms and line graphs depending on the purpose.

The alert section 404 displays an alert to the administrator. For example, an alert may occur when the user's operation log cannot be acquired, when there is an abnormality in the server 20, when there is an abnormality in the DB, etc. The alert may be acquired by any method. For example, an application for monitoring the server 20 may be implemented in the server 20 or the information processing device 10, or an external monitoring device may be used.

The live status section 405 displays the current status of each user in real time. The status of each user is, for example, the user name and current task. The presentation section 133 displays each user's operation log together with the analyzed current task (step S213 above) based on the most recent operation log received by the server 20 (step S211 above). In other words, this data is received periodically from the server 20.

The long work hours ranking button 406A is a button for displaying a ranking of users who work the longest hours. When the long work hours ranking button 406A is pressed, a long work hours ranking for that day (that month, that year) is created and displayed based on the user's past working conditions. The long work hours ranking is created by the information processing device 10 or the server 20.

Short-time work ranking 406B is a button for displaying a ranking of users with short working hours. When short-time work ranking 406B is pressed, a short-time work ranking for that day (that month, that year) is created and displayed based on the user's past working status. The long-time work ranking is created by the information processing device 10 or the server 20.

The Add Ranking button 406C is a button for generating a button for creating and displaying any ranking. When the Add Ranking button 406C is pressed, a specific ranking is presented for selection, and a button for the selected ranking is added to the management screen 400.

By presenting such a management screen 400 to the administrator, the administrator can check the status of all users in telework in a comprehensive and easy-to-read manner. In addition, because the descriptions of the work contents can be standardized depending on the work analyzed, it is easy to perform an overall analysis.

3.9. Other Processing
The learning unit 238 re-learns each of the above models when a predetermined number or period of user performance and operation logs are accumulated in the DB. For the set model, re-learning is performed using the tasks selected or input by the user. Any learning method according to the model can be adopted as the learning method for each model. The learning process is performed at a time when the user is not working and the processing load of the server 20 is low, such as late at night on a weekly Sunday. In this way, re-learning can further improve accuracy.

The user screen 310 may further include a task content input section 327 shown in FIG. 24. FIG. 24 is a diagram showing an example of a user screen 310G on which the task content input section 327 is displayed. The user screen 310G is configured to further include a task content input section 327 in addition to the configuration of the user screen 310B. The task content input section 327 is input by the user as the content of the task the user is currently performing. The transmission control section 132 transmits information related to the input task content to the server 20. The learning section 238 re-learns the setting model or state identification model based on the input information related to the task content.

The re-learning process by the management system 1 in this embodiment will be described with reference to FIG. 25. FIG. 25 is a flowchart showing an example of the flow of performing the re-learning process.

In step S241, the reception control unit 231 receives, for example, information about the business content input to the business content input unit 327 from the information processing device 10. The storage control unit stores the received information in the learning model DB 223 of the storage unit 220.

The learning unit 238 executes step S242 at a preset timing, such as late at night or a specified time on a holiday. In step S242, the learning unit 238 re-learns the setting model or the state identification model using the stored information on the business content as correct answer data. More specifically, the learning unit 238 updates the parameters of the setting model stored in the learning model DB 223 through re-learning. The learning unit 238 updates the parameters of the state identification model stored in the learning model DB 223 through re-learning.

In this way, by re-learning the configuration model using the work content entered in "What are you doing now?", it is possible to improve the accuracy of the recommended work presented to the user. In addition, by re-learning the state identification model using the work content entered in "What are you doing now?", it is possible to improve the accuracy of the work state estimated from the detection information.

The acquisition unit 135 or the information identification unit 233 may also calculate the user's concentration level by analyzing image data obtained by the camera. The storage control unit of the server 20 stores the calculated concentration level, for example, in the personal information DB 225. The evaluation unit 236 may evaluate the working state based on the concentration level. The presentation unit 133 may also present an index value related to the concentration level to the user as the evaluation result. The concentration level may also be displayed on the evaluation management screen as an index value representing the quality of work.

As described above, the management system 1 according to the first embodiment can evaluate the working status of a user while taking into account the user's performance. Therefore, the working status of a teleworker can be evaluated fairly.

Second Embodiment
Next, a second embodiment of the present disclosure will be described. The same functions and configurations as those in the first embodiment are given the same reference numerals, and the description will be omitted. In the second embodiment, an example will be described in which the management system 2 evaluates the learning state of users who are participants (including students and pupils) in online classes. In online classes, participants receive lectures using their own terminals (PCs, smartphones, tablets, etc.). In this way, in online classes, participants are located in a different place from the lecturer, so the lecturer cannot directly check the posture and attitude of the participants. For this reason, it is difficult to grasp the students' level of understanding and progress, and the lecturer cannot properly evaluate the participants. In the second embodiment, the lecturer is able to properly evaluate the participants.

In the second embodiment, the operation status of the device held by the student is used to measure the student's level of concentration on the lecture by using the results of analysis of images of the student, and an evaluation of the student (level of understanding, etc.) is derived.

<1. Overall configuration of management system 1>
FIG. 26 is a block diagram showing the overall configuration of the management system 2. The management system 2 is a system for acquiring detection information, which is information related to a detected user's behavior, identifying the user's learning state based on the detection information, and evaluating the user based on the user's learning state and the user's achievements. As shown in FIG. 26, the management system 2 includes an information processing device 10, a server 20, a network 30, a terminal 40, and a camera 50. The information processing device 10, the server 20, and the terminal 40 are connected to each other via the network 30 so as to be able to communicate with each other. The information processing device 10, the server 20, and the terminal 40 are connected to the network 30 using any wired or wireless communication standard.

The terminal 40 includes a processor 11, a memory 12, a storage 13, a communication IF 14, and an input/output IF 15. The terminal 40 is also connected to a camera 50.

Camera 50 is a device that photographs the participants in response to instructions from terminal 40, and is composed of, for example, a digital camera equipped with an imaging device such as a CCD (Charge Coupled Device) image sensor and an A/D conversion device that converts the photographed image into image data consisting of a digital signal. Camera 50 may be configured to change the photographing direction under the control of terminal 40, and may be configured to be able to move the photographing direction as appropriate to enable photographing of a wide range.

The camera 50 captures video of the participants or still images at a predetermined time interval, and converts the video or still images into image data. In the second embodiment, the case of still images will be described as an example. Furthermore, the camera 50 is not limited to being a standalone device, and may be configured, for example, by a camera function provided in a mobile terminal such as a smartphone or tablet compatible with a mobile communication system.

<1.1. Functional configuration of information processing device 10>
The functional configuration of the terminal 40 is similar to that of the information processing device 10, except for the following points.

The acquisition unit 135 of the terminal 40 acquires an operation log and image data from the camera 50. The operation log is information indicating the content of operations performed on a video of a lecture, for example. The image data is image data of a user. The image data may be an image of the entire user to grasp the user's actions, or an image of the user's eyes to grasp the user's line of sight. In this embodiment, an example will be described in which an image of the user's eyes is captured.

2. Data Structure
The data structure is basically the same as in the first embodiment. Here, in the second embodiment, the "job" in the first embodiment is replaced with "subject", the "work style" with "attendance system", etc., appropriate for online classes. In the second embodiment, the attributes include age (grade), course, attendance system, etc. In the case of a school, the course is general liberal arts, general science, special advancement course, etc., and in the case of a job-hunting school or a qualification exam prep school, the course is industry, qualification exam, etc.

<3. Operation>
The following describes the processing in the management system 2 with reference to the drawings. Note that a description of the same processing as in the first embodiment will be omitted.

<3.1. Starting and Ending Management System 2>
First, the start and end of overall processing for a user in the management system 2 will be described. In the management system 2, unlike the management system 1, overall processing for a user is started when the user presses the start work button 311 presented by the presentation unit 133 of the information processing device 10 or the terminal 40. When the start work button 311 is pressed, a lecture video is displayed on the terminal on which it was pressed. When the lecture video ends, the end work button 314 is pressed, and overall processing for the user ends. The lecture video may be online video or pre-recorded video. Furthermore, the lecture video may be audio only or text only.

3.2. Acquisition process in the terminal 40 of the management system 2
Next, each step of the acquisition process by the management system 2 in the second embodiment will be described with reference to Fig. 27. Fig. 27 is a flowchart showing an example of a flow of the acquisition process by the terminal 40. In the acquisition process, an operation log and image data are acquired and transmitted to the server 20.

In step S311, an operation log of the user's operation of the information processing device 10 is obtained, and image data is also obtained from the camera 50. The operation log may be an operation log for a lecture video, in addition to the operations described in the first embodiment. A playback point is set in the lecture video, for example, at predetermined time intervals, and the progress level can be estimated based on whether or not the playback point has been passed.

In step S312, the transmission control unit 132 transmits the acquired operation log and image data to the server 20.

<3.3. Evaluation process in management system 2>
Next, each step of the evaluation process by the management system 2 in the second embodiment will be described with reference to Fig. 28. Fig. 28 is a flowchart showing an example of the flow of the evaluation process by the server 20. In the evaluation process, the user is objectively and fairly evaluated based on the user's attendance status when the user finishes attending a class, etc. In other words, this is a process for specifically obtaining the evaluation result in the evaluation presentation process. Note that the following description will be given taking an example of evaluating one day's learning.

In step S251, the reception control unit 231 receives a notification from the information processing device 10 that the user has completed the course. The notification also includes the user ID, so the server 20 can determine which user has completed the course.

In step S252, the information identification unit 233 identifies the first information from the received operation log or image data. Here, the first information is, for example, information indicating the degree of concentration on the lecture. Specifically, the information identification unit 233 obtains the degree of concentration by inputting the operation log or image data into a specific model that has been trained in advance. In the case of image data, image features indicating the degree of concentration, etc., can be adopted. In other words, the information identification unit 233 obtains the degree of concentration by analyzing the image data. The degree of concentration on the lecture is considered to be low, for example, when there is an operation log for the lecture video or when there is an operation log for another application. This allows characterization in relation to the operation log.

When the specific model receives image data as input, the specific model is used to analyze the image data. Here, when the user is not watching a lecture, it is considered that the user is not concentrating. Therefore, the degree of concentration can be, for example, the proportion of the gaze directed toward the terminal 40 within a specified time. In this embodiment, the camera 50 periodically photographs the user's eyes, so the degree of concentration can be identified by analyzing the image data. Such an image analysis model can be adopted as the specific model. In order to identify such image features, for example, a CNN (Convolution Neural Network) can be adopted as the specific model. Note that when the specific model is a CNN, the learning unit 238 learns the parameters of the specific model using, for example, a backpropagation method.

In step S253, the evaluation unit 236 evaluates the user's attendance for a day, for example, based on the user's concentration level for that day. For example, the evaluation unit 236 evaluates the user's attendance based on the average concentration level for that day.

In step S254, the transmission control unit 232 transmits the evaluation result to the information processing device 10 and terminates the process.

In the second embodiment, for example, when most of the students are taking a lecture on the information processing device 10, but some of them are taking the lecture on the terminal 40, it is possible to evaluate the attendance status by focusing on the users taking the lecture on the terminal 40. In other words, when the students are taking the lecture on the information processing device 10, they are in a classroom, and when the students are taking the lecture on the terminal 40 online, it is possible to appropriately evaluate the users taking the lecture on the terminal 40.

The evaluation can also include whether or not a specific school or school lectures were attended. This makes it possible to evaluate whether someone who took an online lecture at a job-hunting school, for example, received the lecture appropriately.

<Modification>
The acquisition unit 135 may acquire detection information from each of a plurality of terminals on which the user is registered, and the status identification unit 234 may identify the working status of the user based on each piece of detection information.

Although the disclosed embodiments have been described above, they can be embodied in various other forms and can be implemented with various omissions, substitutions, and modifications. These embodiments and variations, as well as omissions, substitutions, and modifications, are included in the technical scope of the claims and their equivalents.

For example, in the above embodiment, the layout of the screen examples is not limited to the positional relationships shown in each drawing. Each screen example is merely an example and can be modified as appropriate without changing the gist of this disclosure.

Furthermore, each processing function of the server 20 in the above-mentioned management systems 1 and 2 may be configured in the information processing device 10 or the terminal 40. In other words, it is possible to construct the management systems as a single device. Also, some of the functions of the server 20 may be configured in the information processing device 10 or the terminal 40. Also, the management system 1 may be configured to use a camera 50 connected to the information processing device 10.

<Additional Notes>
The matters described in the above embodiments will be supplemented below.

(Appendix 1) A management system including an acquisition unit, a status identification unit, and an evaluation unit, in which the acquisition unit acquires detection information that is information related to a user's actions, the status identification unit identifies the user's working status based on the detection information, and the evaluation unit evaluates the user based on the user's working status and the user's performance.

(Appendix 2) The management system described in (Appendix 1) in which the evaluation unit performs the evaluation based on the identified working status of the user and an evaluation of the user's past working status as the user's track record.

(Appendix 3) The management system described in (Appendix 1) or (Appendix 2) in which the evaluation unit performs the evaluation based on the identified working status of the user and an artificial evaluation of the user as the user's performance.

(Appendix 4) The management system described in any one of (Appendix 1) to (Appendix 3) in which the evaluation unit outputs an evaluation of the user by inputting the identified working status of the user into an evaluation model trained using the user's performance as training data.

(Appendix 5) The management system described in (Appendix 4) includes a learning unit that re-learns the evaluation model using the evaluation results by the evaluation unit.

(Appendix 6) A management system according to any one of (Appendix 1) to (Appendix 3), in which the evaluation unit evaluates the user based on the identified user's working status, the user's performance, and the performance of other users who have at least one of the attributes identical to that of the user.

(Appendix 7) The management system described in (Appendix 6) in which the evaluation unit outputs an evaluation of the user by inputting the identified working status of the user into an evaluation model trained using the performance of the user and the performance of other users who have at least one of the attributes identical to that of the user as training data.

(Appendix 8) The management system described in (Appendix 7) includes a learning unit that re-learns the evaluation model using the evaluation results of the user by the evaluation unit and the evaluation results of the other users.

(Appendix 9) The acquisition unit acquires the detection information from each of a plurality of terminals on which the user is registered, and the status identification unit identifies the working status of the user based on each of the detection information. (Appendix 1) to (Appendix 6) A management system as described in any one of the above.

(Appendix 10) The management system described in any one of (Appendix 1) to (Appendix 7), wherein the detection information includes an operation log of an information processing device used by the user.

(Appendix 11) A management system according to any one of (Appendix 1) to (Appendix 10), further comprising an information identification unit, which identifies the concentration level of the user from the detection information, and the evaluation unit evaluates the working state of the user based on the concentration level.

(Appendix 12) The management system described in any one of (Appendix 1) to (Appendix 11) in which the working status includes working or resting.

(Appendix 13) An information processing device including an acquisition unit, a status identification unit, and an evaluation unit, wherein the acquisition unit acquires detection information which is information regarding a user's actions, the status identification unit identifies the user's work status based on the detection information, and the evaluation unit evaluates the user based on the user's work status and the user's performance.

(Appendix 14) A management method in which an acquisition unit acquires detection information, which is information regarding a user's actions, a status identification unit identifies the user's work status based on the detection information, and an evaluation unit evaluates the user based on the user's work status and the user's performance.

(Appendix 15) A program for causing a computer to execute a process including an acquisition unit acquiring detection information, which is information relating to a user's actions, a status identification unit identifying the user's working status based on the detection information, and an evaluation unit evaluating the user based on the user's working status and the user's performance.

1 Management system 1, 2 Management system 2, 10 Information processing device 10, 11 Processor 11, 12 Memory 12, 13 Storage 13, 14 Communication IF 14, 15 Input/output IF 15, 20 Server 20, 30 Network 30, 40 Terminal 40, 50 Camera 50, 110 Communication unit 110, 130 Control unit 130, 131 Reception control unit 131, 132 Transmission control unit 132, 133 Presentation unit 133, 134 Input unit 134, 135 Acquisition unit 135, 210 Communication unit 210, 220 Memory unit 220, 221 Employee information DB 221, 222 Registration information DB 222, 223 Learning model DB 223, 224 Log information DB 224, 225 Personal information DB 225, 230 Control unit 230, 231 Reception control unit 231, 232 Transmission control unit 232, 233 Information identification unit 233, 234 Status identification unit 234, 235 Progress estimation unit 235, 236 Evaluation unit 236, 237 Setting unit 237, 238 Learning unit 238, 300 Screen 300, 310 User screen 310, 310A User screen 310A, 310B User screen 310B, 310C User screen 310C, 310D User screen 310D, 310E User screen 310E, 310F User screen 310F, 311 Work start button 311, 312 Task display unit 312, 313 Break button 313, 314 Work end button 314, 315 Lap time screen 315, 316 Comment screen 316, 317 Pull-down 317, 318A Daily button 318A, 318B Weekly button 318B, 318C Monthly button 318C, 318D Yearly button 318D, 319 Title section 319, 320 Graph section 320, 321 Work status display section 321, 322 Evaluation result section 322, 323 Evaluation effect section 323, 324 Task input section 324, 325 OK button 325, 326 Cancel button 326, 327 Second information input section 327, 400 Management screen 400, 401A Daily button 401A, 401B Monthly button 401B, 401C Yearly button 401C, 401D Period button 401D, 401E Group button 401E, 401F Label button 401F, 401G Add label button 401G, 402 Overall status section 402, 403 Work content section 403, 404 Alert section 404, 405 Live status section 405, 406A Long work hours ranking button 406A, 406B Short work hours ranking 406B, 406C Add ranking button 406C

Claims (8)

an acquisition unit that acquires an operation log of a user's operation of an information processing device used by the user;
an information identification unit that identifies first information for identifying a working status of the user based on the operation log;
A status identification unit that identifies a work status of the user based on the first information;
an evaluation unit that evaluates the user from the specified working state based on past achievements of similar users who have a background similar to that of the user and past working states of the similar users;
The past performance of the similar user includes an evaluation result regarding the work of the similar user during any period in the past ;
The evaluation unit is
evaluating the user by estimating a current progress of the work from the identified work state and the operation log;
A management system that inputs the estimated progress into a trained model that has been trained to output a comment according to the progress, thereby outputting the comment from the trained model in real time . The management system according to claim 1 , wherein the evaluation unit outputs an evaluation of the user by inputting the work status of the identified user into an evaluation model trained using the performance of the similar users as training data. The management system according to claim 2 , further comprising a learning unit that re-learns the evaluation model using an evaluation result by the evaluation unit. The acquisition unit acquires the operation log from each of a plurality of terminals in which the user is registered,
The management system according to claim 1 , wherein the status identifying unit identifies the working status of the user based on each of the operation logs. The management system according to claim 1 , wherein the past performance of the similar user includes a graded evaluation result regarding the work of the similar user during an arbitrary period in the past. an acquisition unit that acquires an operation log of a user's operation of an information processing device used by the user;
an information identification unit that identifies first information for identifying a working status of the user based on the operation log;
A status identification unit that identifies a work status of the user based on the first information;
an evaluation unit that evaluates the user from the specified working state based on past achievements of similar users who have a background similar to that of the user and past working states of the similar users;
The past performance of the similar user includes an evaluation result regarding the work of the similar user during any period in the past ;
The evaluation unit is
evaluating the user by estimating a current progress of the work from the identified work state and the operation log;
An information processing device that inputs the estimated progress into a trained model that has been trained to output a comment according to the progress, thereby outputting the comment from the trained model in real time . 1. A computer-implemented method comprising a processor and a memory, the processor comprising:
acquiring an operation log of a user's operation of an information processing device used by the user;
Identifying first information for identifying a working status of the user based on the operation log;
Identifying a working status of the user based on the first information;
evaluating the user from the identified working status based on past achievements of similar users having a background similar to that of the user and past working statuses of the similar users;
The past performance of the similar user includes an evaluation result regarding the work of the similar user during any period in the past ;
In the step of evaluating,
evaluating the user by estimating a current progress of the work from the identified work state and the operation log;
A method for outputting the comment in real time from a trained model by inputting the estimated progress into a trained model that has been trained to output a comment according to the progress . A program for causing a computer having a processor and a memory to execute the program, the program causing the processor to:
acquiring an operation log of a user's operation of an information processing device used by the user;
Identifying first information for identifying a working status of the user based on the operation log;
Identifying a working status of the user based on the first information;
evaluating the user from the identified working status based on past achievements of similar users having a background similar to that of the user and past working statuses of the similar users;
The past performance of the similar user includes an evaluation result regarding the work of the similar user during any period in the past ;
In the step of evaluating,
evaluating the user by estimating a current progress of the work from the identified work state and the operation log;
A program that inputs the estimated degree of progress into a trained model that has been trained to output a comment according to the degree of progress, thereby outputting the comment from the trained model in real time .