Office support system, office support method, and office support program

Abstract

Provided is a technique for making a specific appeal to a user for health management or morale improvement. 【Solution means】 An office support system executed by a computer system for supporting an office where a manager and a subordinate managed by the manager coexist, the system including: a countermeasure information generation step of inputting an image of the subordinate to AI and instructing the AI to generate health countermeasures to be output to the subordinate for health management or morale improvement of the subordinate; and a health countermeasure output step of outputting the health countermeasures generated by the AI to the subordinate.

Description

Technical Field

[0001] The present invention relates to an office support system, an office support method, and an office support program.

Background Art

[0002] Patent Document 1 discloses an information processing apparatus including: an acquisition unit that acquires a machine learning model learned to estimate health information indicating a health state from biological information; a mapping unit that maps the health information of a user to a latent space of the machine learning model; and an estimation unit that estimates ideal biological information, which is biological information corresponding to desired health information indicating a desired health state of the user, based on first health feature information corresponding to the health information of the user mapped to the latent space.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the above technique, the health level of a user is mapped to the latent space of a pre-learned machine learning model M1. Thus, based on first health feature information corresponding to the health level of the user mapped to the latent space, by gradually changing the value of the latent variable in the latent space from the first health feature information, it becomes possible to generate first health feature information corresponding to the health level of the user from the health level of the user. However, since it does not perform a specific action on the user for health management or morale improvement, a practical effect cannot be directly obtained.

[0005] An object of the present invention is to provide a technique for performing a specific action on a user for health management or morale improvement.

Means for Solving the Problem

[0006] This application includes a plurality of means for solving at least a part of the above problems. For example, it is as follows. An office support system according to an aspect of the present invention is an office support system executed by a computer system for supporting an office where an administrator and a subordinate managed by the administrator coexist. For an AI, an image of the subordinate is input, and a countermeasure information generation step of instructing the AI to generate a health measure to be output to the subordinate for health management or morale improvement of the subordinate is performed, and a health measure output step of outputting the health measure generated by the AI to the subordinate is performed.

[0007] Further, the above office support system may further perform a step of acquiring an image of the subordinate from a camera provided in a device for recording attendance and departure.

[0008] Further, in the above office support system, in the countermeasure information generation step, for the AI, the expression of the subordinate is analyzed using an image of the subordinate, the type of expression is specified from a plurality of types of expressions including at least one of stress, fatigue, joy, and sadness, and based on the type of expression, the health state or mental state of the subordinate is judged and a health measure is generated. It may be instructed to do so.

[0009] Further, in the above office support system, a voice acquisition step of acquiring the voice of the subordinate is further performed. In the countermeasure information generation step, for the AI, at least one of the tone, volume, pitch, and speed of the voice is analyzed to evaluate changes in stress and emotion, and the result of the evaluation is used to generate the health measure. It may be instructed to do so.

[0010] Further, in the above-described workplace support system, an expression and voice acquisition step of acquiring the expression and voice of the person to be managed is further performed. In the countermeasure information generation step, a predetermined expression and voice are output so as to be heard and seen by the person to be managed, and the expression and voice as the reaction of the general person to be managed obtained as a result are acquired in the expression and voice acquisition step. For the AI, any one of the expression and voice is analyzed to identify the type of expression from a plurality of types of expressions including at least one of stress, fatigue, joy, sadness, anger, surprise, fear, disgust, contempt, interest / concern, confusion, relief, and expectation, evaluate the change in emotion, and use the result of the evaluation to instruct the generation of the health countermeasure. It may also be such that.

[0011] Further, in the above-described workplace support system, in the countermeasure information generation step, for the AI, using the value of the human body recognition sensor, analyze the walking pattern or posture of the person to be managed, and use the result of the analysis to generate the health countermeasure. It may also be such that it instructs to do so.

[0012] Further, in the above-described workplace support system, in the countermeasure information generation step, for the AI, it may also be such that it instructs the generation of a health countermeasure including the provision of a positive message or a funny joke to the person to be managed.

[0013] Further, in the above-described workplace support system, the past health condition and warning history of the person to be managed are further stored. In the countermeasure information generation step, for the AI, input the past health condition and the history of the health countermeasure of the person to be managed, and for the person to be managed who has been the target of a warning in the past, it may also be such that it instructs to generate a health countermeasure including a message for a detailed greeting.

[0014] Also, in the above-described workplace support system, in the countermeasure information generation step, the AI may be instructed to generate a health countermeasure including information for attempting to implant an expression into the managed person by displaying an image of the managed person with a negative expression changed to a bright expression, outputting a positive message voice, and causing the managed person to stop.

[0015] Also, in the above-described workplace support system, a report creation step may be further implemented, in which the past health status and warning history of the managed person are stored, and the AI is instructed to generate a report indicating the health status of the managed person.

[0016] Also, in the above-described workplace support system, in the countermeasure information generation step, the AI may be instructed to analyze changes in the expressions and postures of employees in response to greetings, predict the possibility of business or financial misconduct, and generate countermeasures.

[0017] Also, a workplace support method according to another aspect of the present invention is a workplace support method executed by a computer system for supporting a workplace where a manager and managed persons managed by the manager coexist. The method includes a countermeasure information generation step of inputting an image of a managed person to an AI and instructing the AI to generate a health countermeasure to be output to the managed person for health management or morale improvement of the managed person, and a health countermeasure output step of outputting the health countermeasure generated by the AI to the managed person.

[0018] Moreover, a workplace support program according to another aspect of the present invention is a workplace support program for operating a computer system for supporting a workplace where an administrator and a subordinate managed by the administrator coexist. The program includes a countermeasure information generation step of inputting an image of the subordinate to AI and instructing the AI to generate health countermeasures to be output to the subordinate for health management or morale improvement of the subordinate, and a health countermeasure output step of outputting the health countermeasures generated by the AI to the subordinate. Here, the subordinates include external contractors (consultants, repair inspections, security, etc.) and temporary employees (seasonal workers, part-time workers, etc.).

Advantages of the Invention

[0019] According to the present invention, it is possible to provide a technology for taking specific actions on users for health management or morale improvement.

[0020] Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

Brief Description of the Drawings

[0021]

Figure 1A

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Embodiments for Carrying Out the Invention

[0022] Hereinafter, a workplace support system 1 to which an embodiment according to an aspect of the present invention is applied will be described with reference to the drawings. In the following embodiments, when necessary for convenience, it will be divided and described in a plurality of sections or embodiments. However, unless otherwise specified, they are not unrelated to each other, and one is related to a modification example, details, supplementary explanation, etc. of a part or all of the other.

[0023] Also, in the following embodiments, when referring to the number of elements, etc. (including the number, numerical value, quantity, range, etc.), unless otherwise specified and unless it is clearly limited to a specific number in principle, it is not limited to that specific number, and it may be more than or less than the specific number.

[0024] Furthermore, in the following embodiments, it goes without saying that the constituent elements (including element steps, etc.) are not necessarily essential unless otherwise specified and unless it is clearly considered essential in principle.

[0025] Similarly, in the following embodiments, when referring to the shape, positional relationship, etc. of the constituent elements, etc., unless otherwise specified and unless it is clearly considered otherwise in principle, it includes those substantially approximate or similar to the shape, etc. This also applies to the above numerical values and ranges.

[0026] In all the drawings for explaining the embodiments, the same members are generally denoted by the same reference numerals, and repeated explanations thereof are omitted.

[0027] FIG. 1A is a configuration diagram of an office support system according to this embodiment. The office support system 1 is a system that supports an office where an administrator and subordinates managed by the administrator coexist. For example, the administrator is a person in a position to manage employees, such as the director or management of the office. Subordinates are, for example, employees, part-time workers, and sometimes employees or contractors of business partners or subcontractors. The office support system 1 includes a server device 100, a commuting record device 200, and a generative AI service 300. Subordinates such as employees use the commuting record device 200 to perform actions for work time management, such as clocking in and out, when commuting. The server device 100 communicates with the commuting record device 200 and controls the operation of the commuting record device 200.

[0028] The generative AI service 300 is a service that provides the functions of so-called generative AI, such as GPT and Gemini, via an API (Application Programming Interface) or the like. The generative AI service 300 gives a command (prompt) in natural language to the generative AI to generate and obtain text, images, audio, videos, etc. of the desired results. The generative AI service 300 may utilize known services such as ChatGPT that expose services on the Internet. Also, the generative AI service 300 may be AGI (Artificial General Intelligence), ASI (Artificial Superintelligence), or the like.

[0029] In this embodiment, when the generative AI service 300 receives an instruction via, for example, an API, it causes the generative AI to generate information and sends the result to the instruction source as the return value of the API. At this time, the generative AI receives various detection information of the person to be managed detected by the commuting record device 200 (mainly image information such as videos and still images, and voice information such as speech), and outputs health countermeasure information (for example, health countermeasures including providing positive messages or funny jokes to the person to be managed) that should be output to the person to be managed for health management or morale improvement according to an instruction from the instruction source. Alternatively, regardless of the instruction from the instruction source, the generative AI outputs health countermeasure information according to a predetermined setting. The generative AI has been trained by deep learning or machine learning to output health countermeasure information that should be output to the person to be managed for health management or morale improvement using various detection information of the person to be managed detected by the commuting record device 200 as input information.

[0030] In addition, when the generative AI service 300 receives an instruction for report creation together with the past health status and warning history, it generates a report indicating the health status of the person to be managed. The generative AI has been trained by deep learning or machine learning to output a report indicating the health status of the person to be managed using various health statuses and warning histories of the person to be managed detected by the commuting record device 200 as input information. Also, not limited to this, the generative AI service 300 may obtain health countermeasure information by searching from other devices via the Internet or the like during execution.

[0031] The server device 100 responds to various requests according to the data transmission protocol from the commuting record device 200. For example, when the server device 100 receives a request to record commuting times from the commuting record device 200, it identifies the person subject to commuting and stores information in the attendance record information 122. Also, the server device 100 receives imaging data and sound collection data from the commuting record device 200, identifies the subject person, and stores the information in the detection information 123. Further, after storing the detection information 123, the server device 100 delivers the past detection information of the corresponding managed person to the generating AI and instructs the creation of countermeasure information. Then, the countermeasure information created by the commuting record device 200 is displayed. Also, FIG. 1B shows another example of the configuration of the workplace support system according to the present embodiment. The workplace support system 1A includes a server device 100A, a commuting record device 200A, a generating AI service 300A, and a user terminal 400A. Managed persons such as employees use the commuting record device 200A to perform, for example, clock-in and access control for work time management when commuting. The server device 100A communicates with the commuting record device 200A and controls the operation of the commuting record device 200A. The commuting record device 200A communicates directly or via communication with each device such as an imaging unit 210A, a sound collection unit 220A, a human body recognition unit 230A, and a clock-in unit 240A, and exchanges respective information. Also, in case the communication of the commuting record device 200A with other devices cannot be connected via the data communication network 50, for example, the processing unit 110A and the storage unit 120A of the server device 100A may be provided as a backup system so that simple operations can be performed. Also, the user terminal 400A communicates with other devices via the data communication network 50, and even when the communication with other devices via the data communication network 50 cannot be connected, it can be appropriately connected to the commuting record device 200A. Thereby, emergency response in case of an emergency such as a system failure can be implemented from the user terminal 400A. Also, it is possible to provide a health countermeasure output unit 260A to the user terminal 400A. Furthermore, the generating AI service 300A may include the functions and configurations of the server device 100, may also include the commuting record device 200A, or may control the processes executed in each processing unit of the commuting record device 200A.In addition, the commuting record device 200A may be equipped with an AI processing circuit equivalent to the generation AI service 300A inside. Furthermore, the commuting record device 200A can also be connected to an expert AI (e.g., legal consultation AI, etc.) or other business AIs (e.g., employee health management AI, etc.) via the data communication network 50. Alternatively, the generation AI service 300 may be included inside the commuting record device 200A. Also, the user terminal 400A and the commuting record device 200A may be communicably connected without going through a data communication network 50 such as the Internet. The data communication network 50 may be configured as an in-house LAN. And even in case of troubles such as Internet line errors, the workplace support system 1A may be made operable. Also, it is possible to operate only with the AI of the in-house system without using an external generation AI service and ignore or exclude other expert AIs.

[0032] Figure 2 is a diagram showing a configuration example of a server device. The server device 100 includes a processing unit 110, a storage unit 120, and a communication unit 130. The storage unit 120 includes user information 121, attendance record information 122, detection information 123, countermeasure information 124, and report information 125. The processing unit 110 includes a countermeasure information generation unit 111, an output generation unit 112, a commuting record unit 113, and a report creation unit 114.

[0033] Figure 3 is a diagram showing a data structure example of user information. The user information 121 includes a user ID 121a and identification feature information 121b. The user ID 121a is information for identifying the user (e.g., an employee, etc.) to be managed from other users to be managed. The identification feature information 121b is a feature for distinguishing the user to be managed from other users to be managed when identifying. For example, it is various information such as a face image, appearance, voice, etc. Note that the user ID 121a may be information encoded like a QR code (registered trademark) or a URL.

[0034] FIG. 4 is a diagram showing an example of the data structure of attendance record information. The attendance record information 122 includes a user ID 122a, an attendance date and time 122b, and a leaving date and time 122c. The user ID 122a is information for identifying a managed person (such as an employee) who is a user from other managed persons. The attendance date and time 122b is information for specifying the date and time when the managed person attended work. The leaving date and time 122c is information for specifying the date and time when the managed person left work. Although not shown in this example, multiple attendance records may be recorded on the same day, such as for business trips during working hours from start to end.

[0035] FIG. 5 is a diagram showing an example of the data structure of detection information. The detection information 123 includes a user ID 123a, a date and time 123b, and detection information 123c. The user ID 123a is information for identifying a managed person (such as an employee) who is a user from other managed persons. The date and time 123b is information for specifying the date and time when the managed person was detected. The detection information 123c is various detection information of the managed person (mainly image information such as videos and still images, and audio information such as speech) obtained when the managed person was detected. Although not shown in this example, multiple detections may be recorded on the same day.

[0036] FIG. 6 is a diagram showing an example of the data structure of countermeasure information. The countermeasure information 124 includes a user ID 124a, a date and time 124b, and countermeasure information 124c. The user ID 124a is information for identifying a managed person (such as an employee) who is a user from other managed persons. The date and time 124b is information for specifying the date and time when the server device 100 obtained the health countermeasure information of the managed person from the generation AI service 300. The countermeasure information 124c is the health countermeasure information of the managed person obtained by the server device 100 from the generation AI service 300. Although not shown here, multiple outputs of countermeasure information may be recorded on the same day.

[0037] FIG. 7 is a diagram showing an example of the data structure of report information. The report information 125 includes a user ID 125a, an analysis period 125b, and report data 125c. The user ID 125a is information for identifying a managed person (such as an employee) who is a user from other managed persons. The analysis period 125b is information for specifying a period to be analyzed in a report for analyzing the health information of the managed person. The report data 125c is report data regarding the health of the managed person obtained by the server device 100 from the generated AI service 300.

[0038] The countermeasure information generation unit 111 is a processing unit that instructs the generated AI service 300 to input an image of the managed person (especially the face, walking style, body behavior, expression, etc.) and generate health countermeasures to be output to the managed person for health management or morale improvement of the managed person. The countermeasure information generation unit 111 obtains an image of the managed person from a camera provided in the attendance and departure recording device 200. Although not shown here, it may be configured to generate countermeasure information multiple times on the same day.

[0039] In addition, the countermeasure information generation unit 111 analyzes the expression of the managed person using the image of the managed person captured, identifies the type of expression from a plurality of expression types including any of stress, fatigue, joy, and sadness, determines the health state or mental state of the managed person based on the type of expression, and instructs the generated AI service 300 to generate health countermeasures. Also, for other emotions such as anger, surprise, fear, disgust, contempt, interest / concern, confusion, relief, and expectation, if ethical issues are resolved, they may be added to the health countermeasures.

[0040] In this embodiment, the emotion and expression types shall adopt the emotion circular model (also referred to as Russell's circular model). The emotion circular model is a model in which various emotions are arranged on a dimension representing emotions with two independent axes (Arousal: arousal level and Valence: emotional valence (pleasant / unpleasant)). On the circle of the emotion circular model, various emotions such as happy, excited, tense, stressed, sad, calm, and relaxed are arranged. Therefore, in this embodiment, the generation AI service 300 shall identify the types of emotions and expressions based on the above-mentioned Russell's circular model. However, it is not limited to this, and other types of emotions and expressions may be adopted.

[0041] In addition, the countermeasure information generation unit 111 analyzes at least one of the voice tone, volume, pitch, and speed of the voice spoken by the managed person (for example, greetings or self-introduction) to the generation AI service 300, evaluates the changes in stress and emotions, and uses the results of the evaluation to instruct the generation of health countermeasures. The countermeasure information generation unit 111 obtains the spoken voice of the managed person from the microphone provided in the commuting record device 200. Furthermore, the countermeasure information generation unit 111 may instruct the generation AI service 300 to determine faults such as the managed person hurting their waist or knees based on the way of walking and behavior up to the imaging device in the image of the managed person, for example, the movement of the left and right feet. Not limited to physical faults, the countermeasure information generation unit 111 may also instruct the generation AI service 300 to determine that there is psychological stress such as worry when, for example, the person is moving their eyes around restlessly. For this purpose, for example, preferably, a space may be provided so that the person walks a certain distance or more (for example, 5 meters, preferably about 8 meters) in front of the camera. Furthermore, it is more desirable to image the managed person from the side, diagonally in front, and from behind as well.

[0042] In addition, the countermeasure information generation unit 111 instructs the generation AI service 300 to analyze the walking pattern or posture of the person to be managed using the values of the human recognition sensor, and to generate health countermeasures using the results of the analysis. The countermeasure information generation unit 111 acquires the human body information of the person to be managed from the human recognition sensor provided in the commuting record device 200.

[0043] In addition, the countermeasure information generation unit 111 instructs the generation AI service 300 to analyze the posture of the person to be managed using the data from the motion capture system, and to generate health countermeasures including messages for warning against long-term poor postures and making improvement suggestions using the results of the analysis. The countermeasure information generation unit 111 acquires the motion capture data of the person to be managed from the camera provided in the commuting record device 200.

[0044] In addition, the countermeasure information generation unit 111 instructs the generation AI service 300 to generate health countermeasures including the provision of positive messages or fun jokes to the person to be managed.

[0045] In addition, the countermeasure information generation unit 111 inputs the past health status and history of health countermeasures of the person to be managed to the generation AI service 300, and instructs the generation AI service 300 to generate health countermeasures including messages for gentle greetings for the person to be managed who has been the target of warnings in the past.

[0046] In addition, the countermeasure information generation unit 111 instructs the generation AI service 300 to display an image of the person to be managed with a negative expression changed to a bright expression, output positive message voices to stop the person, and generate health countermeasures including information for attempting to implant an expression in the person to be managed.

[0047] In addition, the countermeasure information generation unit 111 instructs the generation AI service 300 to analyze changes in the expressions and postures of employees in response to greetings, predict the possibility of business or financial irregularities, and generate countermeasures.

[0048] The output generation unit 112 is a processing unit that outputs the health measures generated by the generation AI service 300 to the person to be managed.

[0049] When the attendance / leaving work recording unit 113 receives an instruction for an attendance record or a leaving work record from the attendance / leaving work recording device 200, it records the attendance date and time and the leaving work date and time of the person to be managed.

[0050] The report creation unit 114 instructs the generation AI service 300 to generate a report indicating the changes in the health status of the person to be managed over a predetermined period.

[0051] The communication unit 130 communicates with the attendance / leaving work recording device 200 and the generation AI service 300 via a data communication network and other Internet etc.

[0052] Returning to the description of FIG. 1A. The attendance / leaving work recording device 200 includes an imaging unit 210, a sound collection unit 220, a human body recognition unit 230, a time stamping unit 240, a communication unit 250, and a health measure output unit 260. The imaging unit 210 captures a moving image or a still image at a predetermined angle of view. For example, the imaging unit 210 captures the posture so that the expression of the person to be managed who operates the attendance / leaving work recording device 200 is captured. The sound collection unit 220 collects sound within a predetermined range. For example, the sound collection unit 220 collects the speech of the person to be managed who operates the attendance / leaving work recording device 200. The human body recognition unit 230 captures a moving image or a still image at a predetermined angle of view. For example, the human body recognition unit 230 acquires the human body information of the person to be managed using a human body recognition sensor.

[0053] The time stamping unit 240 identifies the date and time when the person to be managed arrives at work and the date and time when the person to be managed leaves work, and requests the server device 100 to record. Also, at the time of arrival at work or leaving work, the time stamping unit 240 detects the information of the person to be managed using the imaging unit 210, the sound collection unit 220, and the human body recognition unit 230.

[0054] The communication unit 250 communicates with the server device 100 via a data communication network and other Internet etc.

[0055] When receiving an instruction from the server device 100, the health countermeasure output unit 260 receives health countermeasures and report data and performs output. If the output content involves voice output (such as greetings or calls), the health countermeasure output unit 260 outputs the voice. If it involves image display, the health countermeasure output unit 260 displays the image (including still images and videos). For example, the health countermeasure output unit 260 performs voice output such as greetings and daily conversations (It's a nice day today, You worked hard until late yesterday) with the person under management. It may not be just simple conversation, but may also inquire about the progress of work, or after holidays, may make a call to ask about the places visited and whether they had a good time. At that time, a robot that talks while walking or a rail-running robot speaker may play the role of outputting the conversation, and the health countermeasure output unit 260 may control its operation.

[0056] Furthermore, instead of the walking passage in front of the camera, it may be equipped with a moving sidewalk, escalator, elevator and other moving devices, and the robot may run parallel and talk at a speed corresponding to the moving speed. Furthermore, in order to make it easier for the person under management to speak as much as possible, out of consideration for privacy, on a moving sidewalk or escalator, guidance to keep a distance in front of and behind the person under management may be provided, or for an elevator, it may be limited to one-person rides. Furthermore, it may be a mechanism to carry the person under management individually on a cart. These moving devices may be equipped with imaging devices and conversation devices, and may also be equipped with a biological information acquisition device that measures body temperature, pulse, blood pressure, blood alcohol concentration, face color measurement, etc. Also, during activities within the company, for example, wearing a wearable terminal that can measure body temperature, pulse, blood pressure, etc. may be encouraged. This is particularly effective at sites such as high-temperature work, high-altitude work, and dangerous work. Also, the measurement results may be collected in a timely manner by the server device 100.

[0057] FIG. 8 is a diagram showing an example of the hardware configuration of the server device 100. The server device 100 includes a hardware configuration realized by a housing of a so-called server device, a workstation, a personal computer, a smartphone, or a tablet terminal. The server device 100 includes a processor 101, a memory 102, a storage 103, a communication device 104, and a bus connecting each device.

[0058] The processor 101 is an arithmetic device such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit).

[0059] The memory 102 is a memory device such as a RAM (Random Access Memory).

[0060] The storage 103 is a non-volatile storage device such as a so-called hard disk drive (HDD), an SSD (Solid State Drive), or a flash memory that can store digital information.

[0061] The communication device 104 is a network interface card (NIC) or the like that communicates with other devices via the data communication network 50.

[0062] The countermeasure information generation unit 111, the output generation unit 112, the attendance and departure record unit 113, and the report creation unit 114 of the server device 100 described above are realized by a program that causes the processor 101 to perform processing. This program is stored in the memory 102, the storage 103, or a ROM device (not shown), loaded onto the memory 102 during execution, and executed by the processor 101.

[0063] Also, the storage unit 120, the user information 121, the attendance record information 122, the detection information 123, the countermeasure information 124, and the report information 125 of the server device 100 are realized by the memory 102 and the storage 103. The above is an example of the hardware configuration of the server device 100.

[0064] The configuration of the server device 100 can be further classified into more components according to the processing content. Also, one component can be classified to execute more processes.

[0065] In addition, each processing unit (countermeasure information generation unit 111, output generation unit 112, attendance record unit 113, report creation unit 114) may be constructed by dedicated hardware (such as ASIC, GPU, etc.) that realizes its respective function. Also, the processing of each processing unit may be executed by one piece of hardware, or may be executed by a plurality of pieces of hardware. Note that the information processing device that realizes the generation AI service 300 assumes a cloud service, but is not limited to this, and may have a hardware configuration basically the same as that of the server device 100.

[0066] FIG. 9 is a diagram showing a hardware configuration example of the attendance record device. The attendance record device 200 also has a hardware configuration basically the same as that of the server device 100. The attendance record device 200 includes a processor 101, a memory 102, a storage 103, a communication device 104, an input / output device 205, a camera 206, a microphone 207, and a bus that connects each device.

[0067] The input / output device 205 is a device that combines a display device such as a liquid crystal display or an organic EL display, and various input devices such as a touch panel, hardware buttons, a keyboard, and a mouse. The punching unit 240 and the health countermeasure output unit 260 are realized by the input / output device 205, the processor 101, the memory 102, the storage 103, and the communication device 104.

[0068] The camera 206 captures a moving image or a still image at a predetermined angle of view. The imaging unit 210 is realized by the camera 206, the processor 101, the memory 102, the storage 103, and the communication device 104. The human body recognition unit 230 is realized by the camera 206, the processor 101, the memory 102, the storage 103, and the communication device 104.

[0069] The microphone 207 performs sound collection within a predetermined range. The sound collection unit 220 is realized by the microphone 207, the processor 101, the memory 102, the storage 103, and the communication device 104.

[0070] Note that the processing of each component of the commuting record device 200 may be executed by one piece of hardware or by a plurality of pieces of hardware. Also, the processing of each component of the commuting record device 200 may be realized by one program or by a plurality of programs.

[0071] The above is an example of the hardware configuration of the commuting record device 200.

[0072] Each configuration of the commuting record device 200 can be further classified into more components according to the processing content. Also, one component can be classified so as to execute more processing.

[0073] Also, each processing unit (imaging unit 210, sound collection unit 220, human body recognition unit 230, stamping unit 240, communication unit 250, health countermeasure output unit 260) may be constructed by dedicated hardware (such as an ASIC, GPU, etc.) that realizes each function. Also, the processing of each processing unit may be executed by one piece of hardware or by a plurality of pieces of hardware.

[0074] Next, the operation of the office support system 1 in the present embodiment will be described.

[0075] FIG. 10 is a diagram showing an example of the flow of the stamping process. When the commuting record device 200 operates, the stamping process enters a standby state and starts when there is an operation from the person to be managed to the commuting record device 200.

[0076] First, the stamping unit 240 of the attendance and departure recording device 200 receives information on the user ID read from an ID card of the person to be managed, such as a magnetic card or an IC card, and the attendance / departure classification indicating whether the person to be managed is making an attendance or departure record (step S001).

[0077] Then, the attendance and departure recording device 200 performs imaging and sound collection (step S002). Specifically, the imaging unit 210, the sound collection unit 220, and the human body recognition unit 230 acquire moving images or still images including expressions, voice data of speech, and human body information of the person to be managed. Note that this is not limited thereto, and the imaging unit 210 and the human body recognition unit 230 may treat the walking posture and standing posture of the person to be managed when approaching the attendance and departure recording device 200 as human body information by photographing them in advance.

[0078] Then, the stamping unit 240 of the attendance and departure recording device 200 transmits the attendance and departure record to the server device 100 (step S003). Specifically, the stamping unit 240 transmits the user ID and the attendance / departure classification to the server device 100.

[0079] The attendance and departure recording unit 113 of the server device 100 authenticates and stores it in the attendance record (step S004). Specifically, when receiving the user ID, the attendance and departure recording unit 113 authenticates it and stores the attendance date and time or the departure date and time in the attendance record information 122 according to the attendance / departure classification.

[0080] Then, the stamping unit 240 of the attendance and departure recording device 200 transmits the detection information to the server device 100 (step S005). Specifically, the stamping unit 240 transmits the user ID and the detection information detected in step S002 to the server device 100.

[0081] The attendance and departure recording unit 113 of the server device 100 authenticates and stores the detection information in the detection information 123 (step S006). Specifically, when receiving the user ID, the attendance and departure recording unit 113 authenticates it and stores the detection information in the detection information 123 for each person to be managed.

[0082] Then, the countermeasure information generation unit 111 instructs the generation of the countermeasure information to be displayed (step S007). Specifically, the countermeasure information generation unit 111 extracts the detection information of the target person in the past predetermined period (for example, the most recent one month) from the detection information 123, and transmits the detection information of the target person and the past detection information of the target person to the generation AI service 300, and instructs the generation of the countermeasure information to be displayed. Note that the instruction for generating the countermeasure information is based on the instruction for creating the health countermeasure information to be output to the target person. In addition, it can also specify the type of expression from a plurality of types of expressions including any one of stress, fatigue, joy, and sadness, and instruct to judge the health state or mental state of the target person based on the type of expression and generate a health countermeasure.

[0083] In addition, the instruction for generating the countermeasure information can further analyze at least one of the tone, volume, pitch, and speed of the voice of the target person's spoken voice to evaluate the changes in stress and emotions, and use the result of the evaluation to instruct the generation of a health countermeasure. Furthermore, the instruction for generating the countermeasure information can also throw the expressions and voices generated by images or videos at the target person, analyze the result of obtaining either the expression of the target person corresponding thereto or the expression of the response voice, and specify the type of expression from a plurality of types of expressions including any one of stress, fatigue, joy, sadness, anger, surprise, fear, disgust, contempt, interest / concern, confusion, relief, and expectation, evaluate the change in emotions, and use the result of the evaluation to instruct the generation of the above-mentioned health countermeasure. Originally, facial expressions, walking styles, body movements, and ways of speaking are easily affected by personality, regional differences, culture, etc., so it may not be possible to judge based on the same criteria as others. Therefore, collecting information on a per-target-person basis from the beginning, collecting and analyzing the emotional expressions of each target person will result in improved accuracy. For this purpose, it is desirable for the countermeasure information generation unit 111 to analyze and accumulate the emotional movements as data. It is also possible to have the generation AI service 300 perform the analysis and accumulation of the data.

[0084] Further, the instruction to create countermeasure information may further use the values of the human recognition sensor to analyze the walking pattern or posture of the person to be managed, and use the results of the analysis to instruct the generation of health countermeasures.

[0085] Further, the instruction to create countermeasure information may further use data from the motion capture system to analyze the posture of the person to be managed, and use the results of the analysis to generate health countermeasures including messages for warning against long-term poor posture and providing improvement suggestions.

[0086] Further, the instruction to create countermeasure information may further instruct the generation of health countermeasures including the provision of positive messages or fun jokes to the person to be managed.

[0087] Further, the instruction to create countermeasure information may further use the past health status and history of health countermeasures of the person to be managed to generate health countermeasures including messages for gentle communication for those who have been the target of warnings in the past.

[0088] Further, the instruction to create countermeasure information may further include information for attempting to implant an expression in the person to be managed by displaying an image of the person to be managed with a negative expression changed to a bright expression, outputting a positive message voice, talking to the person to be managed, or making the person stop.

[0089] Further, the instruction to create countermeasure information may further analyze changes in the expressions and postures of employees in response to communication, predict the possibility of workplace or financial irregularities, and instruct the generation of countermeasures.

[0090] The generation AI service 300 creates countermeasure information according to the generation instruction and transmits the countermeasure information to the server device 100 (step S008).

[0091] Then, the countermeasure information generation unit 111 stores the countermeasure information transmitted from the generation AI service 300 in the countermeasure information 124 (step S009).

[0092] Then, the output generation unit 112 transmits the countermeasure information to the attendance / leaving work recording device 200 (step S010).

[0093] The health countermeasure output unit 260 displays the countermeasure information (step S011).

[0094] The above is an example of the flow of the stamping process. According to the stamping process, it is possible to display the health countermeasures to be output to the person to be managed for health management or morale improvement and perform specific actions.

[0095] FIG. 11 is a diagram showing an example of the flow of the report creation process. The report creation process is started when the server device 100 receives an operation from an administrator (such as the director or management of the workplace, a person in a position to manage employees).

[0096] First, the report creation unit 114 receives the designation of the report target period and the target person (step S401). Then, the report creation unit 114 acquires the attendance / leaving work records, detection information, and countermeasure information for the report target period for each target person (step S402). Specifically, the report creation unit 114 extracts the attendance / leaving work records for the report target period from the attendance record information 122 in the storage unit 120, the detection information from the detection information 123 in the storage unit 120, and the countermeasure information from the countermeasure information 124 in the storage unit 120 as RAG information, respectively.

[0097] Then, the report creation unit 114 instructs the generation AI service 300 to create a report by means of a prompt (step S403). Specifically, for each target person, the report creation unit 114 analyzes the attendance records, detection information, and countermeasure information during the report target period extracted as RAG information, creates a prompt for instructing the generation AI service 300 to create a report using the analysis results, and transfers it to the generation AI service 300. Then, the report creation unit 114 receives the report data from the generation AI service 300 (step S404). And the report creation unit 114 stores it in the report information 125 (step S405).

[0098] The above is an example of the flow of the report creation process. According to the report creation process, for the managed person, the health status and mental state can be objectively analyzed based on the monitoring data for a predetermined period.

[0099] FIG. 12 is a diagram showing an example of a countermeasure information display screen. The countermeasure information display screen 700 is a screen on which the countermeasure information is displayed in step S011 of the clock-in process. On the countermeasure information display screen 700, an image 701 of the managed person whose negative expression in the captured image of the managed person has been changed to a bright expression is displayed. Also, on the countermeasure information display screen 700, a positive message 702 for the managed person is displayed.

[0100] FIG. 13 is a diagram showing an example of a report information display screen. The report information display screen 800 is an example of a screen for displaying the report information stored in step S405 of the report creation process.

[0101] The report information display screen 800 includes a user ID display area 801, an image 802 of the person being managed, an analysis graph 810, and a message display 820. The analysis graph 810 has the horizontal axis 811 representing time and the vertical axis 812 representing the measured quantity. For example, an index 813 of mental health, the number of abnormal operations 814, an index 815 of emotional information, and the number of poor posture occurrences 816 are plotted, and the trend of changes is visualized. In the message display 820, warning information and analysis results of the health trend are described in natural language.

[0102] The above is the workplace support system 1. As in the above embodiments, according to the workplace support system 1, specific initiatives can be taken for users for health management or morale improvement. However, it is important to ensure transparency and consent regarding the means, timing, and content of obtaining information of the person being managed, protect privacy, conduct regular health check-ups (implement regular health check-ups), set up a mental health support (create an environment where employees can consult when they have stress or mental problems) window, formulate ethical guidelines (implement while maintaining transparency for employees), etc. Also, it is considered important to improve awareness across the organization by implementing education and training (education and training on ethics and compliance for employees) in combination. In view of such points, it is desirable to adopt programs, support systems, and operation methods combined with these functions. Also, at that time, it may be connected to other expert AIs, etc. for information exchange.

[0103] Note that emotions, states, and expressions at that time can be associated as follows. Therefore, the countermeasure information generation unit 111 can instruct the generation AI service 300 to identify emotions from the expressions included in the captured images according to the following correspondence. Joy: Expressing happiness and satisfaction: smiling face, shining eyes Sadness: Indicating disappointment and a sense of loss: downturned corners of the mouth, moist eyes Anger: Expressing irritation and hostility: wrinkles between the eyebrows, pursed lips Surprise: Reaction to an unexpected event: Opening the eyes wide and opening the mouth Fear: Reaction to danger or threat: Opening the eyes wide and raising the eyebrows Disgust: Expressing discomfort or rejection: wrinkling the nose and distorting the mouth Contempt: Expressing the feeling of looking down on others: raising one corner of the mouth Interest / Concern: Indicating that attention is being paid: Opening the eyes wide and raising the eyebrows slightly Confusion: Reaction to an incomprehensible situation: Frowning the eyebrows and opening the mouth slightly Relief: Representing a state where tension is relieved: The facial muscles are relaxed and the expression is calm Expectation: Representing a state of looking forward to something good: Shining eyes and a smile at the corners of the mouth Fatigue: Representing a tired state: The eyes are half - open and the corners of the mouth are downturned Suspicion: Indicating that one doubts something: Raising one eyebrow and narrowing the mouth Satisfaction: Expressing a satisfied feeling: A slight smile and a relaxed look in the eyes Tension: Representing a state of feeling stress or pressure: The facial muscles are rigid and the eyes are sharp

[0104] Also, emotions and voices are associated as follows. Therefore, the countermeasure information generation unit 111 can instruct the generation AI service 300 to identify emotions from the acquired voice according to the following correspondence. Emotion: Characteristics of voice Joy: Bright and high - pitched tone, rhythmic way of speaking Sadness: Low and slow tone, weakening of voice strength Anger: Loud voice, fast way of speaking, voice may tremble Surprise: Suddenly high voice, words may break off Fear: Trembling voice, fast way of speaking Tension: Hardening of voice, words getting stuck, irregular speaking speed Excitement: High tone, fast way of speaking, increasing volume Boredom: Monotonous tone, slow way of speaking, little intonation Confidence: Clear pronunciation, stable tone and rhythm Anxiety: Voice trembles, speech is often interrupted, and speaks quickly Contempt: Tone with sarcasm, cold-sounding voice

[0105] Also, emotions and walking styles are associated as follows. Therefore, the countermeasure information generation unit 111 can instruct the generation AI service 300 to identify emotions from the obtained walking style according to the following correspondence. Joy: Light and rhythmic walking style, skipping movements, wide stride Sadness: Slow walking style, shoulders are slumped. Heavy impression, eyes looking down Anger: Strong and fast walking style, loud footsteps, waving arms widely Surprise: Walking stops momentarily, movements are irregular, suddenly stops Fear: Small stride, walking while being vigilant about the surroundings, cautious movements, sometimes looking back Tension: Awkward walking style, movements are stiff, shoulders are raised, little arm waving Excitement: Fast walking style, active movements, energetic, wide stride Boredom: Slow walking style, lack of vitality in movements, eyes not fixed, looking around Confidence: Straight back, firm walking style, stable stride, eyes looking forward Anxiety: Irregular walking style, movements are restless, frequently stops, looking around Contempt: Slow walking style, movements of looking down on the surroundings, sometimes stopping to look down around

[0106] Also, emotions and "ways of moving the body" are associated as follows. Therefore, the countermeasure information generation unit 111 can instruct the generation AI service 300 to identify emotions from the "ways of moving the body" of the person under management identified from the obtained image according to the following correspondence. Joy: Smiling face, jumping, clapping hands. Light and bright movements, energetic impression Sadness: Bending forward, shoulders slumped. Heavy and sinking impression, slow movements Anger: Waving hands strongly, frowning. Intense movements, impression with a sense of tension Surprise: Eyes widen, mouth opens. Sudden movement, instantaneous reaction Fear: Body shrinks, guards the surroundings. Defensive posture, cautious movement Tension: Rub hands together, sway feet. Clumsy movement, unstable impression Excitement: Wave hands widely, move quickly. Active and energetic movement Boredom: Cross legs, avert gaze. Indifferent impression, monotonous movement Confidence: Straighten the back, walk firmly. Imposing impression, stable movement Anxiety: Frequently look around, rub hands together. Restless movement, vigilant impression Contempt: Narrow eyes, raise one eyebrow. Cold impression, slow movement

[0107] Also, "physical state" and "characteristics" are associated as follows. Therefore, the countermeasure information generation unit 111 can instruct the generation AI service 300 to identify the physical state from the "characteristics" of the person to be managed according to the following correspondence. Physical state: Characteristics Fatigue: Expression = blank face = eyes half - open Posture = back rounds, shoulders drop Movement = movement slows down, stride becomes narrow Tone of voice = weak voice, increased sighing Energy = vitality decreases, easily fatigued High stress: Expression = frown between eyebrows, narrow eyes Posture = shoulders rise, clench jaw Movement = sway feet, click fingers Tone of voice = shallow and rapid breathing, increased sighing Energy = restless movement, vigilant impression Joy: Expression = smiling face, eyes shining Posture = back straightens, relaxed posture Movement = light and rhythmic movement, active movement Tone of voice = bright, clear voice, many laughs Energy = Vitality and proactiveness Sadness: facial expression = drooping corners of the mouth, watery eyes Posture: slouching, slumped shoulders Movement = slow movement, decreased activity Tone of voice: Weak, low voice, speaking less frequently Energy = decreased vitality and fatigue

[0108] The present invention is not limited to the above-described embodiment. The above-described embodiment can be modified in various ways within the scope of the technical concept of the present invention. For example, the functions of the server device 100 may be realized by a system configured with one or more computers.

[0109] Furthermore, the technical elements of the above-described embodiments may be applied independently, or may be divided into a plurality of parts, such as program parts and hardware parts, and then applied.

[0110] The present invention has been described above mainly with reference to the embodiment. [Explanation of symbols]

[0111] 1···Business support system, 50···Data communication network, 100···Server device, 110···Processing unit, 111···Countermeasure information generation unit, 112···Output generation unit, 113···Attendance recording unit, 114···Report creation unit, 120···Memory unit, 121···User information, 122···Attendance record information, 123···Detection information, 124···Countermeasure information, 125···Report information, 130···Communication unit, 200···Attendance recording device, 210···Imaging unit, 220···Sound collection unit, 230···Human body recognition unit, 240···Time stamp unit, 250···Communication unit, 260···Health measure output unit, 300···Generating AI service.

Claims

1. A business establishment support system executed by a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management is carried out, and further, The computer system comprises: A facial expression and voice acquisition step is performed to acquire the facial expression and voice of the person to be managed, In the countermeasure information generating step, In the facial expression and voice acquisition step, a facial expression or voice is acquired as a reaction of the managed person as a result of outputting a predetermined facial expression or voice to be seen and heard by the managed person, and one of the facial expressions or voices is analyzed to identify a type of emotion from a plurality of types of emotions including any one of stress, fatigue, joy, sadness, anger, surprise, fear, disgust, contempt, interest / concern, confusion, relief, and expectation, and an instruction is given to generate appropriate health measures for the managed person using the AI ​​based on the type of emotion. Business support system.

2. A business establishment support system executed by a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management is carried out, and further, The computer system comprises: A storage unit for storing the past health conditions and warning history of the managed person, In the countermeasure information generating step, The past health conditions and health measure history of the managed person are input, and for the managed person who has been the target of a warning in the past, a message including a proposal for a specific health measure meal menu or the like according to the managed person's condition is generated by the AI ​​based on the managed person's past health conditions and warning history. Business support system.

3. A business establishment support system executed by a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management is carried out, and further, The computer system comprises: storing the past health conditions, health measures, and warning history of the person under management; In the countermeasure information generating step, The past health conditions of the managed person, the history of the health measures, and the history of the warnings are input, and for the managed person who has been the target of a warning in the past, a health measure including a thoughtful voice is generated by the AI. Office support system.

4. A business establishment support system executed by a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management is carried out, and further, The computer system comprises: In the countermeasure information generating step, To the person in charge who has a negative expression, (1) generating an image in which the facial expression of the person being managed is converted to a bright facial expression by image processing; (2) Display the generated image of a bright expression Instruct the AI ​​to Business support system.

5. A business establishment support system executed by a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management is carried out, and further, The computer system comprises: In the countermeasure information generating step, a change in a facial expression or posture of the person under management in response to a call is analyzed, and a possibility of a fraudulent act is predicted in any of the following cases based on the analysis result: (1) When the person being managed shows an unnatural change in facial expression in response to the call (2) If the person in question exhibits an unnatural posture in response to the call Instruct the AI ​​to generate a health measure including a warning message for the person under management or a notification to the manager based on the prediction result; Business support system.

6. A business establishment support method executed by a computer system for supporting a business establishment where a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management; A facial expression and voice acquisition step is performed to acquire the facial expression and voice of the person to be managed, In the countermeasure information generating step, A business support method, comprising: acquiring, in the facial expression and voice acquisition step, facial expressions and voices obtained as a reaction of the managed person as a result of outputting predetermined facial expressions and voices to be seen and heard by the managed person; instructing the AI ​​to analyze any of the facial expressions or voices to identify a type of emotion from a plurality of types of emotions including any of stress, fatigue, joy, sadness, anger, surprise, fear, disgust, contempt, interest, confusion, relief, and expectation; and generating appropriate health measures for the managed person based on the type of emotion using the AI.

7. A business establishment support method executed by a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management is carried out, and further, The computer system comprises: A storage unit for storing the past health conditions and warning history of the managed person, In the countermeasure information generating step, The past health conditions and health measure history of the managed person are input, and for the managed person who has been the target of a warning in the past, a message including a proposal for a specific health measure meal menu or the like according to the managed person's condition is generated by the AI ​​based on the managed person's past health conditions and warning history. Business support methods.

8. A business establishment support system executed by a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management is carried out, and further, The computer system comprises: storing the past health conditions, health measures, and warning history of the person under management; In the countermeasure information generating step, Input the past health condition of the managed person, the history of the health measures, and the history of the warnings For the managed person who has been the target of a warning in the past, instruct the AI ​​to generate health measures including a thoughtful voice, Office support system.

9. A business establishment support program that operates a computer system for supporting a business establishment where a manager and a person managed by the manager coexist, The computer system includes: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management; A facial expression and voice acquisition step is performed to acquire the facial expression and voice of the person to be managed, In the countermeasure information generating step, A business support program in which a facial expression and voice acquisition step acquires facial expressions and voice as a reaction of the managed person obtained as a result of outputting a predetermined facial expression and voice to be seen and heard by the managed person, and instructs the AI ​​to analyze any of the facial expressions or voices to identify a type of emotion from a plurality of types of emotions including any of stress, fatigue, joy, sadness, anger, surprise, fear, disgust, contempt, interest, confusion, relief, and expectation, and to generate appropriate health measures for the managed person based on the type of emotion using the AI.

10. A business establishment support program for operating a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system includes: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management, and further The computer system, Operate the device as a storage unit for storing the past health conditions and warning history of the managed person; In the countermeasure information generating step, The past health conditions and health measure history of the managed person are input, and for the managed person who has been the target of a warning in the past, a message including a proposal for a specific health measure meal menu or the like according to the managed person's condition is generated by the AI ​​based on the managed person's past health conditions and warning history. Business support program.

11. A business establishment support program for operating a computer system for supporting a business establishment in which a manager and a person managed by the manager coexist, comprising: The computer system comprises: A countermeasure information generation step of inputting an image of the person under management and instructing AI to generate health countermeasures to be output to the person under management for health management or morale improvement; A health measure output step of outputting the health measure generated by the AI ​​to the person under management is carried out, and further, The computer system, Operate the device as a storage unit for storing the past health conditions, health measures, and warning history of the person under management; In the countermeasure information generating step, The past health conditions of the managed person, the history of the health measures, and the history of the warnings are input, and for the managed person who has been the target of a warning in the past, a health measure including a thoughtful voice is generated by the AI. Office support programs.

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