Information processing device, information processing method, and information processing program

Abstract

This disclosure aims to generate guidance information related to health guidance that is appropriate for the personality type of the person receiving health management services through interviews for health guidance. [Solution] The information processing device includes an acquisition unit that acquires response data showing the content of answers to questions provided by a person who is the subject of a health management service for which an interview for health guidance is conducted, in order to estimate the personality type of the subject; and a modification unit that changes the content of the guidance information related to the health guidance of the subject to be output to a medium according to the personality type of the subject estimated based on the response data acquired by the acquisition unit.

Description

Technical Field

[0001] The present disclosure relates to an information processing apparatus, an information processing method, and an information processing program.

Background Art

[0002] Patent Document 1 discloses a technique in which a health guidance support server input with the health examination results of a health guidance target generates a guidance schedule for improving the lifestyle suitable for the situation of the health guidance target.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the technique according to Patent Document 1, a health guidance provider conducts health guidance for a health guidance target according to the guidance schedule generated by the health guidance support server. At this time, if the guidance schedule generated by the health guidance support server does not suit the personality of the health guidance target, there is a possibility that the health guidance target will not practice the guidance content provided by the health guidance provider. Therefore, it is required to adjust the guidance schedule generated by the health guidance support server to suit the personality of the health guidance target. However, in the technique according to Patent Document 1, the information input to the health guidance support server when generating the guidance schedule is not sufficient, and there is room for improvement.

[0005] Therefore, an object of the present disclosure is to provide an information processing apparatus, an information processing method, and an information processing program capable of generating guidance information related to health guidance suitable for the personality type of a target person of a health management service that conducts interviews for health guidance.

Means for Solving the Problems

[0006] The first embodiment of the information processing device includes an acquisition unit that acquires response data indicating the content of answers to questions for estimating the personality type of a person who is the subject of a health management service for which an interview for health guidance is conducted, provided by the subject; and a modification unit that changes the display content of the guidance information related to the health guidance of the subject to be output to a medium according to the personality type of the subject estimated based on the response data acquired by the acquisition unit.

[0007] In the first embodiment of the information processing device, the acquisition unit acquires response data showing the answers to questions provided by the person receiving the health management service, which are used to estimate the person's personality type. The modification unit then modifies the content of the guidance information for the person output to the medium according to the personality type of the person estimated based on the response data acquired by the acquisition unit. As a result, the information processing device can generate guidance information that is appropriate to the personality type of the person receiving the health management service.

[0008] The information processing device of the second embodiment is the information processing device of the first embodiment, wherein the modification unit modifies, as a modification of the display content of the instruction information, at least one of the presence or absence of a graph in the instruction information and the presence or absence of a predetermined phrase that encourages the actions of the subject.

[0009] In the second embodiment of the information processing device, the modification unit modifies at least one of the presence or absence of a graph and the presence or absence of a predetermined phrase in the instructional information as a change to the display content of the instructional information. As a result, according to the information processing device, for example, a graph can be included in instructional information tailored to a person with a personality type that likes numbers, or a predetermined phrase can be included in instructional information tailored to a person with a passionate personality type.

[0010] The third embodiment of the information processing apparatus is an information processing apparatus of the first or second embodiment, wherein the acquisition unit acquires health data showing the content of the subject's answers to a health questionnaire, and the output unit outputs the guidance information generated based on the health data acquired by the acquisition unit, and the accuracy of the guidance content shown in the guidance information derived based on the response rate to the questionnaire shown in the health data, to the medium.

[0011] In the third embodiment of the information processing device, the acquisition unit acquires health data showing the subject's responses to a health questionnaire. The output unit then outputs guidance information generated based on the health data acquired by the acquisition unit, and the accuracy of the guidance content shown in the guidance information, which is derived based on the response rate to the questionnaire shown in the health data, to a medium. As a result, this information processing device allows the interviewer conducting the interview with the subject to understand the accuracy of the guidance content, thereby supporting the interviewer's consideration of the interview content, such as whether to proceed with the interview in accordance with the guidance information.

[0012] The fourth embodiment of the information processing device is an information processing device of the third embodiment, wherein the output unit outputs a guidance plan supervised by the instructor conducting the health guidance interview with the subject to the instructor's terminal as the medium during the interview between the instructor and the subject, and the modification unit modifies the display content of the guidance plan output by the output unit to the terminal according to the subject's condition estimated based on at least one of the content of the conversation during the interview and a facial image taken of the subject's face.

[0013] In the fourth embodiment of the information processing device, the output unit outputs a guidance plan, whose guidance information has been supervised by the instructor, to the instructor's terminal during an interview between the instructor and the subject. The modification unit then modifies the display content of the guidance plan output by the output unit to the instructor's terminal according to the subject's condition, which is estimated based on at least one of the content of the conversation during the interview and the subject's facial image. As a result, the information processing device can support the instructor in providing health guidance that is appropriate to the subject's condition during the interview by changing the display content of the guidance plan according to the subject's condition.

[0014] The fifth embodiment of the information processing device is the same as the fourth embodiment, wherein the modification unit adds action information indicating actions recommended to the instructor as a change to the display content of the instruction plan.

[0015] In the fifth embodiment of the information processing device, the modification unit adds behavioral information indicating recommended actions for the instructor as a change to the displayed content of the instruction plan. This allows the information processing device to help instructors understand the recommended actions, thereby enabling them to take actions appropriate to the subject's condition during the interview.

[0016] The sixth aspect of the information processing method involves a computer performing a process to acquire response data showing the answers to questions for estimating the personality type of a person who is the subject of a health management service for which an interview for health guidance is conducted, and then changing the display content of the guidance information related to the health guidance of the person to be output to a medium according to the personality type of the person estimated based on the acquired response data.

[0017] In the sixth aspect of the information processing method, a computer performs a process to acquire response data showing the answers to questions provided by the person receiving the health management service, which are used to estimate the person's personality type. Then, in this information processing method, the computer performs a process to change the content of the guidance information for the person output to the medium according to the personality type of the person estimated based on the acquired response data. As a result, this information processing method makes it possible to generate guidance information that is appropriate to the personality type of the person receiving the health management service.

[0018] The information processing program of the seventh embodiment obtains response data showing the answers to questions for estimating the personality type of a person who is the subject of a health management service for which an interview for health guidance is conducted, provided by the subject, and causes a computer to perform a process that changes the display content of the guidance information related to the health guidance of the subject to be output to a medium according to the personality type of the subject estimated based on the obtained response data.

[0019] In the seventh aspect of the information processing program, the computer is instructed to perform a process to acquire response data, which represents the answers to questions provided by the person receiving the health management service, for estimating the person's personality type. The information processing program then instructs the computer to perform a process to change the content of the guidance information for the person output to the medium, according to the personality type of the person estimated based on the acquired response data. As a result, the information processing program can generate guidance information that is appropriate to the personality type of the person receiving the health management service. [Effects of the Invention]

[0020] As described above, the information processing device, information processing method, and information processing program related to this disclosure can generate guidance information for health guidance that is suitable for the personality type of the person who is the target of a health management service for which a health guidance interview is conducted. [Brief explanation of the drawing]

[0021] [Figure 1] It is a diagram showing an example of the schematic configuration of an information processing system. [Figure 2] It is a block diagram showing the hardware configurations of a server, an instructor terminal, a target person terminal, an administrator terminal, and an organization terminal. [Figure 3] It is a block diagram showing the configuration of the storage of the server. [Figure 4] It is a block diagram showing an example of the functional configuration of the server. [Figure 5] It is a sequence diagram showing the flow in which an initial guidance plan is generated. [Figure 6] It is a first display example displayed on the display unit of the instructor terminal. [Figure 7] It is a sequence diagram showing the flow of processing executed during an interview. [Figure 8] It is a second display example displayed on the display unit of the instructor terminal. [Figure 9] It is a sequence diagram showing the flow in which a continuous guidance plan is generated. [Figure 10] It is a third display example displayed on the display unit of the instructor terminal.

Mode for Carrying Out the Invention

[0022] Hereinafter, the information processing system 10 according to the present embodiment will be described. FIG. 1 is a diagram showing the schematic configuration of the information processing system 10.

[0023] As shown in Figure 1, the information processing system 10 includes a server 20, an instructor terminal 40, a user terminal 60, an administrator terminal 80, and an organizational terminal 100. The server 20, instructor terminal 40, user terminal 60, and administrator terminal 80 are connected via network N1. The administrator terminal 80 and organizational terminal 100 are connected via network N2. Networks N1 and N2 can be, for example, the Internet, a LAN (Local Area Network), or a WAN (Wide Area Network). In Figure 1, networks N1 and N2 are separate networks. Therefore, for example, the organizational terminal 100 cannot access the server 20. However, the information processing system 10 is not limited to this configuration, and all terminals may be connected via a single network that allows access between them.

[0024] Server 20 is a server computer that performs various processing related to the information processing system 10. Server 20 is an example of the "information processing device" and "computer" in this disclosure.

[0025] The instructor terminal 40 is a terminal owned by an instructor who conducts interviews for health guidance for a target person. The instructor terminal 40 is an example of the "instructor's terminal" and "medium" in this disclosure. Although only one instructor terminal 40 is shown in Figure 1, in the information processing system 10, there are multiple instructor terminals 40 depending on the number of instructors.

[0026] The target terminal 60 is a terminal owned by the person who is the target of the health management service, during which the above-mentioned interview is conducted by the instructor. Although only one target terminal 60 is shown in Figure 1, in the information processing system 10, there are multiple target terminals 60 depending on the number of target persons.

[0027] The administrator terminal 80 is a terminal owned by an administrator who has been granted specific access rights to the server 20. For example, the administrator has full control access rights to various data stored on the server 20.

[0028] Organizational terminal 100 is a terminal owned by a user in a specific department of the organization to which the above-mentioned target person belongs. Organizations include companies, medical corporations, school corporations, social welfare corporations, religious corporations, independent administrative agencies, general incorporated foundations, public interest incorporated foundations, general incorporated associations, public interest incorporated associations, NPO corporations, local governments, agricultural cooperatives, and fisheries cooperatives, etc. In this embodiment, the organization is defined as a company, and "Company A" will be used as an example. In this case, the specific department mentioned above would be, for example, the department that handles the labor management of users belonging to Company A. Furthermore, among the users belonging to Company A, the users who are eligible to receive the above-mentioned health management service are the target persons.

[0029] In this process, the information processing system 10, specifically the server 20, generates guidance information related to the health guidance of the subject based on organizational data related to the subject's health provided by Company A and subject-provided data provided by the subject. The information processing system 10 then presents the guidance information generated by the server 20 to the instructor via the instructor terminal 40.

[0030] Next, we will describe the hardware configuration of the server 20, instructor terminal 40, participant terminal 60, administrator terminal 80, and organizational terminal 100.

[0031] Figure 2 is a block diagram showing the hardware configuration of server 20, instructor terminal 40, trainee terminal 60, administrator terminal 80, and organizational terminal 100. As an example, in this embodiment, instructor terminal 40, trainee terminal 60, administrator terminal 80, and organizational terminal 100 are referred to as "PCs (Personal Computers)," and server 20 is referred to as the "server computer." Since server 20, instructor terminal 40, trainee terminal 60, administrator terminal 80, and organizational terminal 100 basically represent a typical computer configuration, server 20 will be described as a representative example.

[0032] As shown in Figure 2, the server 20 comprises a CPU (Central Processing Unit) 21, ROM (Read Only Memory) 22, RAM (Random Access Memory) 23, storage 24, input unit 25, display unit 26, and communication unit 27. Each component is connected to the others via a bus 28 so that they can communicate with each other.

[0033] The CPU 21 is a central processing unit that executes various programs and controls various components. Specifically, the CPU 21 reads programs from the ROM 22 or storage 24 and executes them using the RAM 23 as a working area. The CPU 21 controls the above components and performs various calculations according to the programs stored in the ROM 22 or storage 24.

[0034] ROM22 stores various programs and data. RAM23 temporarily stores programs or data as a working area.

[0035] Storage 24 consists of storage devices such as HDDs (Hard Disk Drives), SSDs (Solid State Drives), or flash memory, and stores various programs and data.

[0036] The input unit 25 includes, for example, a pointing device such as a mouse, various buttons, a keyboard, a microphone, and a camera, and is used for various types of input.

[0037] The display unit 26 is, for example, a liquid crystal display and displays various information. The display unit 26 may also function as an input unit 25 by employing a touch panel system.

[0038] The communication unit 27 is an interface for communicating with other devices. For such communication, a wired communication standard such as Ethernet® or FDDI, or a wireless communication standard such as 4G, 5G, or Wi-Fi® may be used.

[0039] Furthermore, the functions of the CPU 41, ROM 42, RAM 43, storage 44, input unit 45, display unit 46, communication unit 47, and bus 48 of the instructor terminal 40, the CPU 61, ROM 62, RAM 63, storage 64, input unit 65, display unit 66, communication unit 67, and bus 68 of the target terminal 60, the CPU 81, ROM 82, RAM 83, storage 84, input unit 85, display unit 86, communication unit 87, and bus 88 of the administrator terminal 80, and the CPU 101, ROM 102, RAM 103, storage 104, input unit 105, display unit 106, communication unit 107, and bus 108 of the organization terminal 100 are the same as the functions of the CPU 21, ROM 22, RAM 23, storage 24, input unit 25, display unit 26, communication unit 27, and bus 28 of the server 20 described above.

[0040] Next, we will describe the configuration of the storage 24 of server 20. Figure 3 is a block diagram showing the configuration of the storage 24 of server 20.

[0041] As shown in Figure 3, the storage 24 contains the information processing program 24A, the generation model 24B, and the instruction plan database 24C.

[0042] The information processing program 24A is a program that causes the CPU 21 to perform various processes described later. When executing the information processing program 24A, the server 20 uses the hardware resources shown in Figure 2 to perform the processing based on the information processing program 24A. The information processing program 24A is an example of an "information processing program" in this disclosure.

[0043] Generative Model 24B is a form of so-called generative AI (Artificial Intelligence). One example of Generative Model 24B is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ) and Gemini (Internet search <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the above. The generative model 24B is constructed by appropriately combining various known generative AIs as described above. The generative model 24B is obtained by performing deep learning on a neural network. The generative model 24B is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images. The generative model 24B infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data, graph data, tabular data, image data, and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0044] The guidance plan database 24C stores guidance plans generated after guidance information has been reviewed and approved by the instructor. Here, the instructor conducts multiple interviews with the target person for health guidance. For each target person, an initial guidance plan is generated, used during the first interview, and a follow-up guidance plan is generated, used during subsequent follow-up interviews. The guidance plan database 24C stores both the initial guidance plan and the follow-up guidance plan for each follow-up interview, linked to each target person.

[0045] Next, we will describe the functional configuration of server 20. Figure 4 is a block diagram showing an example of the functional configuration of server 20.

[0046] As shown in Figure 4, the CPU 21 of the server 20 has a functional configuration consisting of an acquisition unit 21A, a generation unit 21B, a derivation unit 21C, and an output unit 21D. Each functional configuration is realized by the CPU 21 reading and executing an information processing program 24A stored in the storage 24.

[0047] The acquisition unit 21A acquires various information from the storage 24, the instructor terminal 40, the subject terminal 60, and the administrator terminal 80, etc.

[0048] The generation unit 21B generates guidance information related to health guidance for the target person based on the organization-provided data and target person-provided data acquired by the acquisition unit 21A as various types of information.

[0049] For example, organizational data may include health check data of the target individuals, data showing the results of stress checks, data showing working hours, and data showing the status of leave taken.

[0050] For example, the data provided by participants includes data on the participants' personal attributes such as age and gender, health data showing the participants' responses to health questionnaires, and response data showing the participants' responses to questions used to estimate their personality type. The content of the health questionnaire is not particularly limited, but may include, for example, diet, lifestyle, exercise habits, alcohol consumption, and smoking habits. Similarly, the content of the questions used to estimate personality type is not particularly limited, but for example, the MBTI (Myers-Briggs Type Indicator) diagnostic test to diagnose the INTP (Introverted, Intuitive, Thinking, Perceiving) personality type, or other diagnostic tests to diagnose personality types based on the Big Five theory, can be used.

[0051] The derivation unit 21C estimates the personality type of the subject based on the response data included in the subject-provided data acquired by the acquisition unit 21A. Specifically, the derivation unit 21C classifies the personality type of the subject according to the diagnostic test using a known diagnostic method based on the response content shown in the response data. Here, the generation unit 21B changes the display content of the subject's guidance information output to the instructor terminal 40 according to the personality type of the subject estimated by the derivation unit 21C. In other words, the generation unit 21B generates guidance information for the subject that has display content suitable for the subject's personality type. For example, the generation unit 21B may include a graph in the guidance information for a subject with a personality type that likes numbers, or include a predetermined phrase that encourages the subject's actions in the guidance information for a subject with a passionate personality type. The generation unit 21B is an example of the "modification unit" in this disclosure.

[0052] Furthermore, the derivation unit 21C derives the accuracy of the guidance content shown in the guidance information generated by the generation unit 21B, based on the response rate of the subject to the medical questionnaire shown in the health data included in the subject-provided data acquired by the acquisition unit 21A. The accuracy of the guidance content is the degree of certainty of the guidance content shown in the guidance information generated by the generation unit 21B. If the response rate of the subject to the medical questionnaire is low, the guidance information is generated without a good understanding of the subject's health condition and lifestyle, etc., so the accuracy will be low. On the other hand, if the response rate of the subject to the medical questionnaire is high, the guidance information is generated with a good understanding of the subject's health condition and lifestyle, etc., so the accuracy will be high. Here, the accuracy may be expressed in ranks such as low, medium, and high, or as a probability such as 30% or 70%. In this embodiment, as an example, the accuracy is expressed in three ranks: low, medium, and high.

[0053] The derivation unit 21C first derives the response rate of the subject to the medical questionnaire based on the health data. Then, the derivation unit 21C derives the accuracy as "low" if the derived response rate is between 0 and 33%, "medium" if it is between 34 and 66%, and "high" if it is between 67 and 100%.

[0054] The output unit 21D outputs various information to the instructor terminal 40. For example, as part of this information, the output unit 21D outputs the instruction information generated by the generation unit 21B to the instructor's terminal 40 before the interview between the instructor and the subject. Also, as part of this information, the output unit 21D outputs the instruction plan, which has been reviewed and edited by the instructor, to the instructor's terminal 40 during the interview between the instructor and the subject.

[0055] Next, we will explain the flow of various processes executed in the information processing system 10. Figure 5 is a sequence diagram showing the flow of generating the initial guidance plan. Below, we will explain an example in which User A, a user belonging to Company A, is the target.

[0056] In step S10 shown in Figure 5, the CPU 81 of the administrator terminal 80 provides the server 20 with organizational data corresponding to user A from the organizational data of users belonging to company A that has been provided in advance from the organizational terminal 100. For example, the CPU 81 provides the server 20 with health check data, data showing the results of stress checks, data showing working hours, and data showing the leave taken status of user A as organizational data corresponding to user A. As a prerequisite for step S10, the administrator terminal 80 has received a request for the provision of organizational data corresponding to user A. Then the process proceeds to step S11.

[0057] In step S11, the CPU 61 of the target terminal 60 owned by user A provides target data to the server 20. For example, the CPU 61 provides the server 20 with data on user A's personal attributes, health data, and response data as target data corresponding to user A. As a prerequisite for step S11, the target terminal 60 has received a request for the provision of target data. Then the process proceeds to step S12.

[0058] In step S12, the CPU 21 of the server 20 generates guidance information for User A's initial interview based on the organization-provided data provided in step S10 and the subject-provided data provided in step S11. First, the CPU 21 estimates User A's personality type based on the response data included in the subject-provided data. In the following description, it is assumed that User A's personality type has a high "passionate" component. Next, the CPU 21 derives User A's response rate to the questionnaire based on the health data included in the subject-provided data. After that, the CPU 21 inputs a first prompt to the generation model 24B for outputting the guidance information. The content of the first prompt is not particularly limited, but as an example, in this embodiment, the CPU 21 generates a prompt as follows.

[0059] "First prompt" Based on the following organizational and individual data, please output the guidance information from User A's initial interview. Organization-provided data → Organization-provided data_UserA.CSV Data provided by participants → Personal attribute data.CSV, Health data.CSV, Response data.CSV Please include the following in your instructional information: (1) Radar chart showing feedback on User A's six lifestyle habits (2) The content of the responses to the questionnaire shown in User A's response data (3) User A's intervention disease (4) Top four behaviors that are high priority for intervention in User A's lifestyle (5) User A's program objectives (6) User A's Goals (7) SOAP (Interview record section, memo section) (8) A set phrase to support User A's actions (9) Accuracy of instruction content: High →(1) The six lifestyle habits should be reduced salt intake, balanced diet, behavioral patterns, moderate alcohol consumption, sleep, and physical activity.

[0060] The CPU 21 inputs the first prompt generated above into the generation model 24B and obtains the guidance information from User A's initial interview, which is the output result. Then, the process proceeds to step S13.

[0061] In step S13, the CPU 21 of the server 20 provides the instruction information generated in step S12 to the instructor terminal 40 held by the instructor in charge of the interview with user A (hereinafter referred to as "instructor A"). Then, the process proceeds to step S14.

[0062] In step S14, the CPU 41 of the instructor terminal 40 receives the generation of the initial instruction plan for user A by instructor A. The CPU 41 displays the acquired instruction information on the display unit 46. Here, instructor A reviews the instruction information and makes additions and corrections as necessary. For example, if the instruction information needs to be corrected, instructor A uses the input unit 45 to appropriately correct the instruction information displayed on the display unit 46. Then, the initial instruction plan, with the instruction information reviewed by instructor A, is completed. The process then proceeds to step S15.

[0063] In step S15, the CPU 41 of the instructor terminal 40 provides the server 20 with the initial instruction plan for user A that was generated in step S14. Then, the process proceeds to step S16.

[0064] In step S16, the CPU 21 of the server 20 stores the initial instruction plan provided in step S15 in the instruction plan database 24C, linking it to user A and the personality type of user A estimated above. Then, the process ends.

[0065] Next, we will explain an example of the display shown on the display unit 46 of the instructor terminal 40 held by instructor A during the processing of the sequence diagram shown in Figure 5.

[0066] Figure 6 shows a first example of the display shown on the display unit 46 of the instructor terminal 40. Specifically, Figure 6 shows the instruction information provided by the server 20 for user A during their initial interview. This instruction information consists, as an example, of items 50, 51, 52, 53, 54, 55, and 56, as well as phrase information 57 and accuracy information 58.

[0067] Item 50 displays a radar chart showing feedback on six lifestyle habits of User A. These six lifestyle habits are salt reduction, dietary balance, behavioral patterns, moderate alcohol consumption, sleep, and physical activity, as specified in the first prompt above.

[0068] Item 51 displays User A's responses to the medical questionnaire. Instructor A can move the scroll bar 51A up and down to display User A's responses to the desired questionnaire within Item 51.

[0069] Item 52 displays the intervention condition for user A. For example, the intervention condition is "hypertension," as shown by icon 52A.

[0070] Item 53 displays the top four lifestyle interventions that User A prioritizes, represented by icons 53A, 53B, 53C, and 53D. For example, in item 53, the action shown by icon 53A on the far left has the highest priority, while the action shown by icon 53D on the far right has the lowest priority. Specifically, the priority of lifestyle interventions increases in the following order: "weight loss" (icon 53D), "reducing alcohol consumption" (icon 53C), "exercise" (icon 53B), and "reducing salt intake" (icon 53A).

[0071] Item 54 displays User A's program goals for the program period. For example, the program goals are "blood pressure reduction of 10 mmHg" shown by icon 54A and "weight loss of 1 kg" shown by icon 54B.

[0072] Item 55 displays User A's goals for the program period. For example, these goals are "drink miso soup once a day" (indicated by icon 55A) and "do 5 minutes of stretching" (indicated by icon 55B). Item 56 is the section where instructor A can input interview records and notes during the interview.

[0073] Phrase information 57 indicates a predetermined phrase that encourages the actions of user A specified in the first prompt. For example, phrase information 57 indicates the phrase "I'm sure you can do it, A!". In this way, for user A, who has a passionate personality type, the CPU 21 can include phrase information 57 in user A's guidance information by adding an instruction to the first prompt for the CPU 21 to output the predetermined phrase. Instructor A can make user A aware of the predetermined phrase shown in phrase information 57 by appropriately sharing the screen of the display unit 46 during the interview.

[0074] The accuracy information 58 indicates the accuracy of the instruction content specified in the first prompt above. For example, accuracy information 58 may display "Accuracy of instruction content: High," indicating that the accuracy is high.

[0075] Next, we will explain the process flow during the interview. Figure 7 is a sequence diagram showing the process flow performed during the interview. The following explanation will use the initial interview between instructor A and user A as an example.

[0076] In step S20 shown in Figure 7, the CPU 21 of the server 20 provides the initial instruction plan for user A, which is stored in the instruction plan database 24C, to the instructor terminal 40 owned by instructor A. Then, the process proceeds to step S21.

[0077] In step S21, the CPU 41 of the instructor terminal 40 displays the initial instruction plan for user A, which was provided in step S20, on the display unit 46. Instructor A conducts an interview with user A while confirming the initial instruction plan displayed on the display unit 46. Then, the process proceeds to step S22.

[0078] In step S22, the CPU 61 of the subject terminal 60 owned by user A acquires the interview status of user A during the interview. The interview status includes a facial image of user A taken by a camera (not shown) on the subject terminal 60, and the content of the conversation between instructor A and user A collected by a microphone (not shown) on the subject terminal 60. Then, the process proceeds to step S23.

[0079] In step S23, the CPU 61 of the target terminal 60 provides the server 20 with the interview status of user A, which was obtained in step S22. Then, the process proceeds to step S24.

[0080] In step S24, the CPU 21 of the server 20 updates the display content of User A's initial guidance plan based on the interview status of User A provided in step S23. Here, the CPU 21 inputs a second prompt to the generation model 24B for outputting the updated initial guidance plan. The CPU 21 adds at least an instruction to the second prompt for outputting appropriate actions recommended by instructor A according to the subject's mental state. The subject's mental state is an example of "subject's state" in this disclosure. The content of the second prompt is not particularly limited, but as an example, in this embodiment, the CPU 21 generates a prompt as follows.

[0081] "Second prompt" Based on the audio and video data showing User A's interview situation, please estimate User A's mental state. Then, based on the estimated mental state, output the appropriate actions recommended for Instructor A. Audio data → Audio data_A.wav Video data → Video data_A.mp4

[0082] CPU21 inputs the second prompt generated above into generation model 24B and obtains the updated initial instruction plan for user A, which is its output. Then, the process proceeds to step S25.

[0083] In step S25, the CPU 21 of the server 20 provides the instructor terminal 40 with the initial instruction plan for user A, whose display content was updated in step S24. Then, the process proceeds to step S26.

[0084] In step S26, the CPU 41 of the instructor terminal 40 displays the updated initial instruction plan for user A, provided in step S25, on the display unit 46. Instructor A conducts the interview with user A until the interview time ends, while confirming the initial instruction plan displayed on the display unit 46. Then, the process ends. Note that Figure 7 illustrates a case where the content of the instruction plan is updated only once during the interview, but the content of the instruction plan may be updated multiple times during the interview. If the content of the instruction plan is updated multiple times during the interview, the process from step S22 to step S26 should be looped and executed until the interview time ends. In addition, although the flow of the sequence diagram shown in Figure 7 was explained using the initial interview as an example, the process proceeds similarly in the sequence diagram shown in Figure 7 during a follow-up interview.

[0085] Figure 8 shows a second example of the display shown on the display unit 46 of the instructor terminal 40. Specifically, Figure 8 shows the initial instruction plan for user A, as displayed on the display unit 46 during the initial interview. Note that the display content in Figure 8 is the same as that in Figure 6, except that the accuracy information 58 is not displayed and the behavioral information 59, which will be described later, is displayed, so the explanation of the common parts will be omitted.

[0086] Behavioral information 59 indicates the appropriate actions recommended by instructor A based on the mental state of user A estimated by generative model 24B. As an example, let's assume that user A's mental state is estimated to be "tense."

[0087] Here, the behavioral information 59 is displayed at the forefront in the display example shown in Figure 9, and is highlighted compared to other information. The behavioral information 59 shows text information 59A, which contains the message, "The subject seems a little nervous. I recommend starting with an icebreaker," indicating the recommended action for instructor A. After instructor A confirms the text shown in text information 59A, they can close the behavioral information 59, that is, erase it from the display unit 46, by operating the confirmation button 59B.

[0088] Next, we will explain the process for generating a continuing guidance plan. Figure 9 is a sequence diagram showing the process for generating a continuing guidance plan. Below, we will explain an example where User B, a user belonging to Company A, is the target user.

[0089] In step S30 shown in Figure 9, the CPU 61 of the subject terminal 60 held by user B receives input of progress information from user B. The progress information includes, for example, physical records showing measurement results such as blood pressure and weight, and the progress of achieving goals proposed by the instructor in charge of the interview with user B (hereinafter referred to as "instructor B"). Then the process proceeds to step S31.

[0090] In step S31, the CPU 61 of the subject terminal 60 provides the server 20 with the progress information of user B obtained in step S30. Here, user B periodically inputs progress information into the subject terminal 60 between the previous interview (e.g., initial interview) and the next interview (e.g., follow-up interview). The CPU 61 provides the input progress information to the server 20 each time user B inputs progress information. Then, the process proceeds to step S32.

[0091] In step S32, the CPU 21 of the server 20 generates guidance information for user B during a follow-up consultation. First, the CPU 21 retrieves user B's initial guidance plan from the guidance plan database 24C. Here, it is explained that user B's personality type associated with the initial guidance plan has a high degree of "liking numbers." Subsequently, the CPU 21 inputs a third prompt to the generation model 24B for outputting the guidance information, based on the initial guidance plan and the progress information of user B provided in step S31. The content of the third prompt is not particularly limited, but as an example, in this embodiment, the CPU 21 generates a prompt as follows.

[0092] "Third prompt" Based on the initial coaching plan and progress information for User B below, please output the coaching information for User B's follow-up consultation. Initial coaching plan → Initial coaching plan_B.CSV Progress Information → Progress Information_B.CSV Please include the following in your instructional information: (1) The top four behaviors, program objectives, and action goals for interventions related to the disease and lifestyle indicated in the initial guidance plan. (2) SOAP (Interview record section, memo section) (3) Graph showing changes in user B's blood pressure and weight (4) A table showing the changes in blood pressure, target value, and decrease in User B at each interview, the changes in weight, target value, and decrease in weight at each interview, and the recommended action goals at each interview.

[0093] The CPU 21 inputs the third prompt generated above into the generation model 24B and obtains the guidance information for user B during the follow-up interview, which is the output result. Then, the process proceeds to step S33.

[0094] In step S33, the CPU 21 of the server 20 provides the instruction information generated in step S32 to the instructor terminal 40 owned by instructor B. Then, the process proceeds to step S34.

[0095] In step S34, the CPU 41 of the instructor terminal 40 receives the generation of a continuing instruction plan for user B by instructor B. The CPU 41 displays the acquired instruction information on the display unit 46. Here, instructor B reviews the instruction information and makes additions and corrections as necessary. For example, if the instruction information needs to be corrected, instructor B uses the input unit 45 to appropriately correct the instruction information displayed on the display unit 46. Then, the continuing instruction plan, with the instruction information reviewed by instructor B, is completed. The process then proceeds to step S35.

[0096] In step S35, the CPU 41 of the instructor terminal 40 provides the server 20 with the continuation instruction plan for user B that was generated in step S34. Then, the process proceeds to step S36.

[0097] In step S36, the CPU 21 of the server 20 associates the continuation instruction plan provided in step S35 with user B and saves it to the instruction plan database 24C. Then, the process ends.

[0098] Figure 10 shows a third example of the display shown on the display unit 46 of the instructor terminal 40. Specifically, Figure 10 shows the instruction information provided by the server 20 during a follow-up interview with user B. This instruction information includes, as an example, items 70, 71, and 72.

[0099] Item 70 displays the intervention disease, the top four behaviors with the highest priority for lifestyle intervention, the program goals, and the action goals outlined in User B's initial guidance plan, as well as a section where Instructor B can input interview records and notes during the interview.

[0100] Item 71 displays a graph showing the changes in User B's blood pressure and weight from the first interview to the current (second) interview. As shown in the graph, at the first interview, the systolic blood pressure was "150 mmHg", the diastolic blood pressure was "110 mmHg", and the weight was "88.0 kg". Also, as shown in the graph, at the current interview, the systolic blood pressure was "142 mmHg", the diastolic blood pressure was "102 mmHg", and the weight was "87.2 kg". Thus, for User B, who has a personality type that likes numbers, Item 71 can be included in User B's guidance information by adding an instruction to the third prompt that the CPU 21 outputs the graph. Instructor B can make User B aware of the graph shown in Item 71 by appropriately sharing the screen of the display unit 46 during the interview.

[0101] Item 72 displays a table showing the changes in User B's blood pressure, target value, and decrease from the initial consultation to the current (second) consultation, as well as the changes in weight, target value, and decrease, and recommended action goals. The systolic blood pressure, diastolic blood pressure, and weight shown in this table for the initial and current consultations are the same as the values ​​shown in the graph in Item 71, so no explanation is provided.

[0102] As shown in the table for item 72, the target values ​​and reduction targets for systolic blood pressure, diastolic blood pressure, and weight at the time of the initial consultation are not entered. Also, as shown in the table, the recommended goal at the time of the initial consultation is "salt reduction."

[0103] Furthermore, as shown in the table in item 72, the target systolic blood pressure at the second consultation is "145 mmHg," with a reduction of "-8 mmHg." The target diastolic blood pressure at the second consultation is "105 mmHg," with a reduction of "-8 mmHg." The target weight at the second consultation is "87.5 kg," with a reduction of "-0.8 kg." The recommended goal at the second consultation is "salt reduction."

[0104] Furthermore, as shown in the table in item 72, target values ​​for systolic blood pressure, diastolic blood pressure, and weight for the next follow-up interview, i.e., the third interview, are set during the second interview. These target values ​​are calculated by the CPU 21 of server 20 based on the progress of the work.

[0105] As explained above, the CPU 21 of the server 20 acquires response data showing the answers to questions provided by the person receiving the health management service, which are used to estimate the person's personality type. Then, the CPU 21 changes the content of the guidance information for the person output to the instructor terminal 40 according to the personality type of the person estimated based on the acquired response data. In this way, the server 20 can generate guidance information that is appropriate to the personality type of the person receiving the health management service.

[0106] Furthermore, the CPU 21 of the server 20 modifies the display content of the instructional information by changing whether or not graphs are included in the instructional information and whether or not predetermined phrases are included. As a result, the server 20 can, for example, include graphs in instructional information tailored to individuals with a personality type that likes numbers, or include predetermined phrases in instructional information tailored to individuals with a passionate personality type.

[0107] Furthermore, the CPU 21 of the server 20 acquires health data showing the subject's responses to a health questionnaire. The CPU 21 then outputs guidance information generated based on the acquired health data, and the accuracy of the guidance content shown in the guidance information, which is derived based on the response rate to the questionnaire shown in the health data, to the instructor terminal 40. In this way, the server 20 allows instructors to understand the accuracy of the guidance content, thereby supporting their work in considering the content of the interview, such as whether to proceed with the interview in accordance with the guidance information.

[0108] Furthermore, the CPU 21 of the server 20 outputs a guidance plan, whose guidance information has been supervised by the instructor, to the instructor terminal 40 during the interview between the instructor and the subject. The CPU 21 then changes the content of the guidance plan displayed on the instructor terminal 40 according to the subject's mental state, which is estimated based on the content of the conversation during the interview and the subject's facial image. As a result, according to the server 20, the content of the guidance plan is changed according to the subject's mental state, thereby supporting the instructor in providing health guidance that is appropriate to the subject's mental state during the interview.

[0109] Furthermore, the CPU 21 of server 20 adds behavioral information 59, which indicates recommended actions for the instructor, as a change to the displayed content of the instruction plan. According to server 20, this allows the instructor to understand the recommended actions, thereby supporting the instructor in taking actions appropriate to the mental state of the subject during the interview.

[0110] (others) While embodiments of the present disclosure have been described in detail above with reference to the attached drawings, the technical scope of the present disclosure is not limited to these examples. It is clear that a person with ordinary skill in the art of the present disclosure may conceive of various modifications or alterations within the scope of the technical idea set forth in the claims, and these modifications or alterations are also understood to fall within the technical scope of the present disclosure.

[0111] Furthermore, the effects described in the above embodiments are descriptive or illustrative, and are not limited to those described in the above embodiments. In other words, the technology relating to this disclosure may produce other effects that would be obvious to a person of ordinary skill in the art of this disclosure from the descriptions in the above embodiments, in addition to or in lieu of the effects described in the above embodiments.

[0112] The processing described in the above embodiment can also be implemented using dedicated hardware circuits. In this case, it may be executed on one piece of hardware or on multiple pieces of hardware.

[0113] In the above embodiment, the instructor terminal 40, the trainee terminal 60, the administrator terminal 80, and the organization terminal 100 were referred to as "PCs," but these terminals are not limited to "PCs." For example, each terminal may be a mobile device such as a smartphone or tablet. Furthermore, "PCs" and "mobile devices" may be combined as appropriate, such as designating some terminals as "PCs" and the rest as "mobile devices."

[0114] In the above embodiment, the employee's affiliation was used as an example of "affiliated user attributes," but the examples of "affiliated user attributes" are not limited to this. For example, an example of "affiliated user attributes" may be at least one of the following: the employee's date of employment, job title, job duties, work history, and skills.

[0115] In the above embodiment, an instructor was given as an example of an interviewer who conducts interviews with individuals receiving health management services, but the interviewer is not limited to this. For example, the interviewer may be a doctor.

[0116] In the above embodiment, the instructor terminal 40 was used as an example of the “medium” of this disclosure, but the “medium” is not limited to electronic media and may be paper media. In other words, the information processing system 10 also includes a mode in which the instruction information generated by the server 20 is output to paper media, and the interviewer uses the printed paper media to conduct an interview with the subject.

[0117] In the above embodiment, the CPU 21 of the server 20 estimated the subject's mental state based on the content of the conversation during the interview and the subject's facial image. However, the subject's mental state may be estimated based on the content of the conversation alone or the subject's facial image alone.

[0118] In the above embodiment, the data provided by the organization included health check data of the subject, data showing the results of stress checks, data showing working hours, and data showing the status of leave taken, but the data included in the data provided by the organization is not limited to these. For example, the data provided by the organization may include organizational information such as the organization's intentions regarding the health of users belonging to the organization, and organizational information regarding organizational attributes such as job type and work style.

[0119] In addition, the various processes that the CPU 21 reads and executes in the above embodiment may be executed by various processors other than the CPU. Examples of such processors include PLDs (Programmable Logic Devices) such as FPGAs (Field-Programmable Gate Arrays) whose circuit configuration can be changed after manufacturing, and dedicated electrical circuits that are processors with circuit configurations specifically designed to execute specific processes, such as ASICs (Application Specific Integrated Circuits). Furthermore, the various processes may be executed by one of these various processors, or by a combination of two or more processors of the same or different types (for example, multiple FPGAs, and a combination of a CPU and an FPGA). More specifically, the hardware structure of these various processors is an electrical circuit that combines circuit elements such as semiconductor elements.

[0120] Furthermore, although the above embodiment describes an embodiment in which the information processing program 24A is pre-stored (installed) in the storage 24, the invention is not limited thereto. The information processing program 24A may be provided in the form of a recording medium such as a CD-ROM (Compact Disk Read Only Memory), DVD-ROM (Digital Versatile Disk Read Only Memory), and USB (Universal Serial Bus) memory. Alternatively, the information processing program 24A may be provided in the form of a download from an external device via a network. The technology disclosed herein can also be applied to programs and program products.

[0121] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. [Explanation of Symbols]

[0122] 20. Servers (information processing equipment and computers) 21A Acquisition Department 21B Generation section (modification section) 21D Output Section 24A Information Processing Program 40. Instructor terminals (media and the instructor's terminal) 59. Activity Information< / url:>

Claims

1. An acquisition unit that acquires response data showing the content of answers to questions provided by individuals who are subjects of a health management service for which interviews are conducted for health guidance, in order to estimate the personality type of the subject. A modification unit that changes the content of the guidance information related to health guidance for the subject to be output to a medium, according to the personality type of the subject estimated based on the response data acquired by the acquisition unit, Equipped with, Information processing device.

2. The modification unit modifies, as a change to the display content of the instruction information, at least one of the presence or absence of a graph in the instruction information and the presence or absence of a predetermined phrase that encourages the actions of the subject. The information processing apparatus according to claim 1.

3. The acquisition unit acquires health data showing the content of the subject's responses to a health questionnaire. The system includes an output unit that outputs to a medium the guidance information generated based on the health data acquired by the acquisition unit, and the accuracy of the guidance content shown in the guidance information, which is derived based on the response rate to the medical questionnaire shown in the health data. The information processing apparatus according to claim 1 or 2.

4. The output unit outputs the instruction plan, which has been supervised by the instructor conducting the health guidance interview with the subject, to the instructor's terminal, which serves as the medium, during the interview between the instructor and the subject. The modification unit modifies the content of the instruction plan displayed by the output unit to the terminal, according to the state of the subject estimated based on at least one of the content of the conversation during the interview and the facial image of the subject taken. The information processing apparatus according to claim 3.

5. The aforementioned modification includes adding behavioral information indicating recommended actions for the instructor, as a change to the display content of the instruction plan. The information processing apparatus according to claim 4.

6. We obtain response data showing the content of answers to questions provided by individuals receiving health management services for health guidance interviews, in order to estimate the personality type of the said individuals. Based on the personality type of the subject estimated from the acquired response data, the content of the guidance information related to health guidance for the subject output to the medium is changed. An information processing method in which a computer performs the processing.

7. We obtain response data showing the content of answers to questions provided by individuals receiving health management services for health guidance interviews, in order to estimate the personality type of the said individuals. Based on the personality type of the subject estimated from the acquired response data, the content of the guidance information related to health guidance for the subject output to the medium is changed. An information processing program that causes a computer to perform a task.

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