Classification device, determination device, classification method, determination method, program for classification device, program for determination device, classification system, and determination system

Abstract

To provide a classification device, a determination device, methods, and programs that are capable of processing information with high accuracy even with a relatively small number of questions.SOLUTION: A method includes: obtaining an answer score of a target person by scoring each answer of the target person to each question in a second question group having the number of questions less than a first number of questions, including questions in a first question group having the first number of questions (S30); estimating an estimated answer score of the target person for each question in the first question group based on the answer score of the target person in accordance with correlation data between questions in the first question group calculated from answer scores of other person by scoring each answer of persons other than the target person to each question in the first question group (S33); and classifying the target person into one of classes obtained by clustering the other persons according to the answer scores of the other persons, according to the answer score of the target person and the estimated answer score of the target person (S34).SELECTED DRAWING: Figure 20

Description

Technical Field

[0001] The present invention relates to the technical field of classification devices, determination devices, classification methods, determination methods, classification device programs, determination device programs, classification systems, and determination systems for subjects in healthcare.

Background Art

[0002] In the field of healthcare, it has been practiced to ask a subject questions and support their health based on the answers. For example, Patent Document 1 discloses a healthcare information processing device that collects at least one of the subject's vital information, activity information, and environmental information, associates it with a date and time, stores it in a storage means, and when the information meets a predetermined condition based on the subject's information, asks the subject a question and collects an answer to store the answer in the storage means.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the prior art such as Patent Document 1, when the number of questions is large, it is difficult to answer. Also, there was a problem that when the number of questions was reduced, the accuracy of classification and determination decreased.

[0005] Therefore, an example of the problem of the present invention is to provide a device or the like that can perform information processing with high accuracy even with a relatively small number of questions.

Means for Solving the Problems

[0006] In order to solve the above problems, the invention according to claim 1 includes a subject response score acquisition means for acquiring a subject response score obtained by scoring each response of a subject to each question in a second question group having a smaller number of questions than the first number of questions, the second question group including questions in a first question group having the first number of questions; an answer score estimation means for estimating an estimated answer score of the subject for each question in the first question group based on the subject response score according to correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of others other than the subject for each question in the first question group; and a classification means for classifying the subject according to the subject response score and the estimated answer score of the subject into any one of classes obtained by clustering the others according to the other response scores.

[0007] The invention according to claim 6 is the classification apparatus according to claim 1 or claim 2, wherein the subject response score acquisition means acquires the subject response score for each question in the second question group, which is implemented again after a predetermined period, and the classification means classifies the subject into any one of the classes according to the subject response score and the estimated answer score of the subject in the result of the re-implementation.

[0008] In order to solve the above problems, the invention according to claim 7 includes a subject response score acquisition means for acquiring a subject response score obtained by scoring each response of a subject to each question in a second question group having a smaller number of questions than the first number of questions, the second question group including questions in a first question group having the first number of questions; an answer score estimation means for estimating an estimated answer score of the subject for each question in the first question group based on the subject response score according to correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of others other than the subject for each question in the first question group; a classification means for classifying the subject according to the subject response score and the estimated answer score of the subject into any one of classes obtained by clustering the others according to the other response scores; and an intervention determination means for determining the intervention to be presented to the subject according to the classified class by referring to an intervention-class storage means associating an intervention for supporting health with the class.

[0009] The invention according to claim 8 is characterized in that, in the determination device according to claim 7, it further comprises intervention output means for outputting the determined intervention.

[0010] The invention according to claim 9 is characterized in that, in the determination device according to claim 7 or claim 8, the subject response score acquisition means acquires the subject response scores for each question in the second question group that are implemented again after a predetermined period, and the classification means classifies the subject into any one of the classes according to the subject response scores and the estimated response scores of the subject in the results of the re-implementation, and the intervention determination means determines the intervention to be presented to the subject according to the class classified by the results of the re-implementation.

[0011] The invention according to claim 10 comprises subject response score acquisition means for acquiring subject response scores obtained by scoring each response of a subject to each question in a second question group having a smaller number of questions than the first question group, which includes questions in the first question group having a first number of questions; response score estimation means for estimating the estimated response scores of the subject to each question in the first question group according to the subject response scores based on correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of another person other than the subject to each question in the first question group, the first question group including psychological questions related to psychological characteristics; and intervention determination means for determining the intervention to be presented to the subject according to the subject response scores and the estimated response scores of the subject with reference to intervention-psychological question storage means associating interventions for supporting health and the psychological questions.

[0012] The invention according to claim 12 is characterized in that, in the determination device according to claim 10 or claim 11, it further comprises intervention output means for outputting the determined intervention.

[0013] The invention according to claim 13 is characterized in that, in the determination device according to claim 10 or claim 11, the subject response score acquisition means acquires the subject response scores for each question in the second question group that is implemented again after a predetermined period, and the intervention determination means determines the intervention presented to the subject according to the subject response scores and the estimated response scores of the subject in the result of the re-implementation.

[0014] The invention according to claim 14 includes a subject response score acquisition step of acquiring subject response scores obtained by scoring each response of a subject to each question in a second question group having a smaller number of questions than the first question group, the second question group including questions in the first question group having a first number of questions; a response score estimation step of estimating estimated response scores of the subject to each question in the first question group according to the subject response scores and correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of another person other than the subject to each question in the first question group; and a classification step of classifying the subject into one of classes obtained by clustering the other person according to the subject response scores and the other response scores and classifying the subject according to the estimated response scores of the subject. It is characterized by including the above.

[0015] The invention according to claim 15 is characterized in that, in the classification method according to claim 14, in the subject response score acquisition step, the subject response scores for each question in the second question group that is implemented again after a predetermined period are acquired, and in the classification step, the subject is classified into one of the classes according to the subject response scores and the estimated response scores of the subject in the result of the re-implementation.

[0016] The invention according to claim 16 includes: a subject response score acquisition step in which the subject response score acquisition means acquires subject response scores obtained by scoring each response of a subject to each question in a second question group having a smaller number of questions than the first number of questions, the second question group including questions in a first question group having the first number of questions; a response score estimation step in which the response score estimation means estimates the estimated response scores of the subject to each question in the first question group based on the subject response scores, according to correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of others other than the subject to each question in the first question group; a classification step in which the classification means classifies the subject into any one of classes obtained by clustering the others according to the subject response scores and the other response scores, and according to the estimated response scores of the subject; and an intervention determination step in which the intervention determination means determines the intervention to be presented to the subject according to the classified class, by referring to intervention-class storage means associating an intervention for supporting health with the class.

[0017] The invention according to claim 17 is the determination method according to claim 16, wherein in the subject response score acquisition step, the subject response scores to each question in the second question group, which are obtained again after a predetermined period, are acquired; in the classification step, the subject is classified into any one of the classes according to the subject response scores and the estimated response scores of the subject, which are the results of the re-implementation; and in the intervention determination step, the intervention to be presented to the subject is determined according to the class classified by the results of the re-implementation.

[0018] The invention according to claim 18 includes: a subject response score acquisition step in which a subject response score acquisition means obtains a subject response score obtained by scoring each response of a subject to each question in a second question group having a smaller number of questions than the first number of questions, the questions of the second question group including questions of a first question group having the first number of questions; a response score estimation step in which a response score estimation means estimates an estimated response score of the subject to each question in the first question group based on the subject response score, according to correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of another person other than the subject to each question in the first question group, the first question group including psychological questions regarding psychological characteristics; and an intervention determination step in which an intervention determination means refers to an intervention-psychological question storage means associating an intervention for supporting health with the psychological questions, and determines the intervention to be presented to the subject according to the subject response score and the estimated response score of the subject for the psychological questions.

[0019] The invention according to claim 19 is the determination method according to claim 18, wherein in the subject response score acquisition step, the subject response score for each question in the second question group, which is implemented again after a predetermined period, is obtained, and in the intervention determination step, the intervention to be presented to the subject is determined according to the subject response score and the estimated response score of the subject as a result of the re-implementation.

[0020] The invention according to claim 20 causes a computer to function as a subject response score acquisition means for obtaining a subject response score obtained by scoring each response of a subject to each question in a second question group having a smaller number of questions than the first number of questions, the questions of the second question group including questions of a first question group having the first number of questions; a response score estimation means for estimating an estimated response score of the subject to each question in the first question group based on the subject response score, according to correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of another person other than the subject to each question in the first question group; and a classification means for classifying the subject according to the estimated response score of the subject into any of classes obtained by clustering the other person according to the subject response score and the other response score.

[0021] The invention according to claim 21 is the program for a classification device according to claim 20, wherein the subject response score acquisition means acquires the subject response scores for each question in the second question group that is implemented again after a predetermined period, and the classification means classifies the subject into any one of the classes according to the subject response scores and the estimated response scores of the subject in the result of the re-implementation.

[0022] The invention according to claim 22 is to function a computer as an intervention determination means for determining the intervention to be presented to the subject according to the classified class by referring to the intervention-class storage means associating the intervention for supporting health with the class, the subject response score acquisition means for acquiring the subject response scores obtained by scoring each response of the subject to each question in the second question group having a smaller number of questions than the first question group including the questions in the first question group having the first number of questions, the response score estimation means for estimating the estimated response scores of the subject to each question in the first question group from the subject response scores according to the correlation data between the questions in the first question group calculated from the other response scores obtained by scoring each response of others other than the subject to each question in the first question group, and the classification means for classifying the subject according to the estimated response scores of the subject into any one of the classes obtained by clustering the others according to the subject response scores and the other response scores.

[0023] The invention according to claim 23 is the determination device according to claim 22, wherein the subject response score acquisition means acquires the subject response scores for each question in the second question group that is implemented again after a predetermined period, the classification means classifies the subject into any one of the classes according to the subject response scores and the estimated response scores of the subject in the result of the re-implementation, and the intervention determination means determines the intervention to be presented to the subject according to the class classified by the result of the re-implementation.

[0024] The invention according to claim 24 is directed to obtaining subject response scores by scoring each response of a subject to each question in a second question group having a number of questions less than the number of questions in a first question group including the questions in the first question group having a first number of questions, wherein the first question group includes psychological questions regarding psychological characteristics, and estimating estimated response scores of the subject to each question in the first question group based on the subject response scores according to correlation data between the questions in the first question group calculated from other response scores obtained by scoring each response of another person other than the subject to each question in the first question group, and functioning as intervention determination means for determining the intervention to be presented to the subject according to the subject response scores and the estimated response scores of the subject with reference to an intervention-psychological question storage means associating an intervention for supporting health with the psychological questions.

[0025] The invention according to claim 25 is directed to, in the program for the determination device according to claim 24, the subject response score acquisition means obtaining the subject response scores to each question in the second question group that are implemented again after a predetermined period, and the intervention determination means determining the intervention to be presented to the subject according to the subject response scores and the estimated response scores of the subject as a result of the re-implementation.

[0026] The invention according to claim 26 is a classification system including a terminal device of a person to be answered to questions, and a classification device that classifies the person based on the answer transmitted from the terminal device, wherein the classification device includes: a subject answer score acquisition means for acquiring a subject answer score obtained by scoring each answer of the subject to each question in a second question group having a number of questions less than the first number of questions, including questions in a first question group having the first number of questions; an answer score estimation means for estimating an estimated answer score of the subject to each question in the first question group based on the subject answer score according to correlation data between questions in the first question group calculated from other answer scores obtained by scoring each answer of others other than the subject to each question in the first question group; and a classification means for classifying the subject according to the estimated answer score of the subject into any one of the classes obtained by clustering the others according to the subject answer score and the other answer scores.

[0027] The invention according to claim 27 is the classification system according to claim 26, wherein the subject answer score acquisition means acquires the subject answer score to each question in the second question group, which is implemented again after a predetermined period, and the classification means classifies the subject into any one of the classes according to the subject answer score and the estimated answer score of the subject as a result of the re-implementation.

[0028] The invention according to claim 28 is a determination system comprising a terminal device of a subject who answers questions to receive an intervention for health support, and a determination device that determines the intervention to be presented to the subject based on the answer transmitted from the terminal device. In the determination system, the determination device has: a subject answer score acquisition means for acquiring a subject answer score obtained by scoring each answer of the subject to each question of a second question group having a question number smaller than the first question number, the second question group including questions of a first question group having a first question number; an answer score estimation means for estimating an estimated answer score of the subject to each question of the first question group based on the subject answer score according to correlation data between questions of the first question group calculated from other answer scores obtained by scoring each answer of others other than the subject to each question of the first question group; a classification means for classifying the subject into any of the classes obtained by clustering the others according to the subject answer score and the other answer score, and classifying the subject according to the estimated answer score of the subject; and an intervention determination means for determining the intervention to be presented to the subject according to the classified class by referring to an intervention-class storage means associating the intervention with the class.

[0029] The invention according to claim 29 is the determination system according to claim 28, wherein the subject answer score acquisition means acquires the subject answer score to each question of the second question group, which is implemented again after a predetermined period, and the classification means classifies the subject into any of the classes according to the subject answer score and the estimated answer score of the subject as a result of the implementation again, and the intervention determination means determines the intervention to be presented to the subject according to the class classified as a result of the implementation again.

[0030] The invention according to claim 30 is a determination system comprising a terminal device of a subject who answers questions to receive an intervention for supporting health, and a determination device that determines the intervention to be presented to the subject based on the answer transmitted from the terminal device. In the determination system, the determination device includes: a subject answer score acquisition means for acquiring a subject answer score obtained by scoring each answer of the subject to each question in a second question group having a smaller number of questions than the first number of questions, including the questions in the first question group having the first number of questions; an answer score estimation means for estimating an estimated answer score of the subject to each question in the first question group based on the subject answer score according to correlation data between the questions in the first question group, which is calculated from other answer scores obtained by scoring each answer of a person other than the subject to each question in the first question group, the first question group including psychological questions related to psychological characteristics; and an intervention determination means for determining the intervention to be presented to the subject according to the subject answer score and the estimated answer score of the subject with reference to an intervention-psychological question storage means associating the intervention with the psychological questions.

[0031] The invention according to claim 31 is the determination system according to claim 30, wherein the subject answer score acquisition means acquires the subject answer score to each question in the second question group, which is implemented again after a predetermined period, and the intervention determination means determines the intervention to be presented to the subject according to the subject answer score and the estimated answer score of the subject as a result of the re-implementation.

Effects of the Invention

[0032] According to the present invention, by obtaining the subject response scores obtained by scoring each response of the subject to each question in the second question group having a smaller number of questions than the first number of questions, and according to the correlation data between the questions in the first question group calculated from the other response scores obtained by scoring each response of others other than the subject to each question in the first question group, estimating the estimated response scores of the subject to each question in the first question group based on the subject response scores, and performing information processing such as classifying the subject according to the subject response scores and the estimated response scores of the subject into any of the classes obtained by clustering others according to the other response scores, in addition to the subject response scores for questions with a relatively small number of questions, the estimated response scores for questions not answered are also used, so that the accuracy of information processing such as classification of the subject based on the responses can be improved.

Brief Description of the Drawings

[0033]

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Embodiments for Carrying Out the Invention

[0034] Hereinafter, embodiments of the present invention will be described with reference to the drawings. The embodiments described below are embodiments when the present invention is applied to an information processing system.

[0035] [1. Configuration and Functional Outline of Information Processing System] First, the configuration of the information processing system 1 according to the present embodiment will be described with reference to FIG. 1. FIG. 1 is a diagram showing an example of the schematic configuration of the information processing system 1 according to the present embodiment. The figure is a schematic diagram showing an example of the classification of the types of questions.

[0036] As shown in FIG. 1, the information processing system 1 includes an information processing server device 10 (an example of a classification device and a determination device) that classifies the target user T (an example of a target person) in response to the answer of the target user T to the healthcare question and determines an intervention for supporting health, a mobile terminal device 20 that transmits the answer of the target user T and the like to the information processing server device 10, a wearable terminal device 30 worn by the target user T, and a supporter terminal device 40 used by the support user S who gives health advice to the target user T. The information processing system 1 is an example of a classification system. Further, the information processing system 1 is an example of a determination system.

[0037] As shown in FIG. 2, the healthcare questions are roughly classified into, for example, questions about user personal attributes, questions about user environmental factors, questions about user psychological characteristics, and questions about user physical and mental states. The questions about personal attributes are further classified into questions about age, gender, height, weight, place of residence, occupation, presence or absence of children, spouse, etc. The questions about environmental factors are classified into questions about social support, questions about the exercise environment (physical environment for exercise, environment of places where exercise can be done near home, etc.), questions about the family environment such as family understanding of exercise, etc. The questions about psychological characteristics are classified into questions about personality, questions about service preferences, questions about values, questions about cognitive function, etc. The questions about physical and mental states are classified into questions about exercise volume, questions about the stage of behavior change, motivation for exercise, questions about health status, questions about lifestyle habits, questions about medical history, etc. Each sub-classified question has one or more specific question contents. Note that questions about food preferences and questions about the way of eating such as chewing and eating speed may be included in the questions about physical and mental states.

[0038] Here, "intervention" refers to digitally influencing through an app or the like, or influencing by a person such as an expert, with the intention of causing changes in actions and lifestyle habits related to health. For example, digital influence includes the display of the number of steps and weight on a smartphone or web app, support for setting goals, formulating exercise plans, and evaluating the degree of achievement. Support for setting goals includes having the user determine the daily achievement steps on the app. Formulating an exercise plan includes having the user input a plan such as "walk more on weekends". Evaluation of the degree of achievement displays a review of the week on the display unit of the mobile terminal device 20 or the like. Influence by a person includes, for example, health guidance during a medical examination, personal training at a gym, and health support workshops in companies and local governments. Examples of workshops include prevention of frailty and healthy diet lectures.

[0039] These influences cause changes in the actions and lifestyle habits of the target user T. Changes in actions and lifestyle habits are observed by measuring the outcome, that is, the variable that is intended to be changed by the intervention. Outcome variables are variables such as physical activity level, nutritional status level, physical condition level, sleep quality, and mental state level. More specifically, in the case of physical activity level, it is the number of steps, the number of stair climbs; in the case of nutritional status level, it is the number of calories, the number of meals, meal times, chewing times; in the case of physical condition level, it is the weight value, heart rate, blood pressure value; in the case of sleep quality, it is the level indicating the depth of sleep and the time thereof; in the case of mental state level, it is the stress level, etc.

[0040] Interventions are planned to cause a certain specific action to appear or decrease. Due to the change in that action, a numerical change occurs in the outcome.

[0041] The information processing server device 10, the mobile terminal device 20, the supporter terminal device 40, etc. can transmit and receive data to and from each other via the network N, for example, using a communication protocol such as TCP / IP. The network N is constructed by, for example, the Internet.

[0042] Note that the network N may be constructed by a dedicated communication line, a mobile communication network, a gateway, or the like. Further, the network N may have an access point Ap. The mobile terminal device 20, the wearable terminal device 30, etc. may be connected to the network N via the access point Ap.

[0043] The information processing server device 10 has the functions of a computer. The information processing server device 10 acquires the target person's response scores obtained by scoring each response of the target user T to each question, classifies the target user T, and determines the intervention to be presented to the target user T. The information processing server device 10 is an example of a classification device that classifies a target person based on the responses transmitted from the terminal device. Further, the information processing server device 10 is an example of a determination device that determines the intervention to be presented to the target person based on the responses transmitted from the terminal device.

[0044] The initial database of the information processing server device 10 is constructed based on basic data and the like obtained from the results of a questionnaire survey for a plurality of users P (an example of others other than the target person). The questionnaire survey includes all the questions shown in FIG. 2.

[0045] Here, the basic data is data digitized from the responses to the questions shown in FIG. 2. Depending on the questionnaire items, the responses to the questions are set to be answered on a 5-point scale, a 7-point scale, etc. so that they can be scored.

[0046] The mobile terminal device 20 has the functions of a computer. The mobile terminal device 20 is, for example, a smartphone or a tablet terminal. The target user T uses the mobile terminal device 20 to input responses to questionnaire questions and the like. The mobile terminal device 20 transmits the data measured by the wearable terminal device 30 and the data input by the target user T to the information processing server device 10.

[0047] The wearable terminal device 30 has the functions of a computer. The wearable terminal device 30 is, for example, a wristband-type wearable computer. The wearable terminal device 30 has various sensors and measures the number of steps, heart rate, body temperature, etc. The portable terminal device 20 and the wearable terminal device 30 can communicate via wireless communication.

[0048] The supporter terminal device 40 has the functions of a computer. The supporter terminal device 40 is, for example, a personal computer, a laptop computer, a tablet terminal, etc. The supporting user S uses the supporter terminal device 40 to input data such as the basic data of the target user T and the results of the medical interview with the target user T. For example, the supporting user S is a nurse, a health counselor (in a health insurance association, etc.), or a gym trainer. Note that if the target user T inputs or attempts to change behavior alone without the support of the supporting user S, the information processing system 1 may not include the supporter terminal device 40.

[0049] The portable terminal device 20, the wearable terminal device 30, and the supporter terminal device 40 are examples of the terminal devices of the person who answers the questionnaire. Also, the portable terminal device 20, the wearable terminal device 30, and the supporter terminal device 40 are examples of the terminal devices of the person who answers the questionnaire in order to receive an intervention to support health.

[0050] [2. Configuration and Functions of the Information Processing Server Device and Each Terminal Device] (2.1 Configuration and Functions of the Information Processing Server Device 10) Next, the configuration and functions of the information processing server device 10 will be described with reference to FIGS. 2 to 7.

[0051] FIG. 3 is a block diagram showing an example of the schematic configuration of the information processing server device 10. FIG. 4 is a diagram showing an example of the data stored in the question database of FIG. 3. FIG. 5 is a diagram showing an example of the data stored in the outcome database of FIG. 3. FIG. 6 is a diagram showing an example of the data stored in the intervention information database of FIG. 3. FIG. 7 is a schematic diagram showing an example of the classification of the types of intervention. FIG. 8 is a diagram showing an example of the data stored in the answer database of FIG. 3. FIG. 9 is a diagram showing an example of the data stored in the correlation database of FIG. 3. FIG. 10 is a schematic diagram showing an example of the correlation between questions. FIG. 11 is a diagram showing an example of the data stored in the class information database of FIG. 3.

[0052] As shown in FIG. 3, the information processing server device 10 includes a communication unit 11, a storage unit 12, an output unit 13, an input unit 14, an input / output interface unit 15, and a control unit 16. The control unit 16 and the input / output interface unit 15 are electrically connected via a system bus 17. Also, the information processing server device 10 has a clock function.

[0053] The communication unit 11 is electrically or electromagnetically connected to the network N to control the communication state with the mobile terminal device 20 and the like.

[0054] The storage unit 12 is configured by, for example, a hard disk drive, a solid state drive, or the like. The storage unit 12 stores data related to questions, answer data for questions, classification of interventions, data related to the content of outcomes which are variables to be changed by the interventions, and the like. Also, the storage unit 12 stores various programs such as an operating system and server programs, and various files. Note that the various programs and the like may be acquired from another server device or the like via the network N, or may be recorded on a recording medium and read via a drive device.

[0055] In addition, in the storage unit 12, a question database 12a (hereinafter referred to as "question DB 12a"), an outcome database 12b (hereinafter referred to as "outcome DB 12b"), an intervention information database 12c (hereinafter referred to as "intervention information DB 12c"), an answer database 12d (hereinafter referred to as "answer DB 12d"), a correlation information database 12e (hereinafter referred to as "correlation information DB 12e"), a class information database 12f (hereinafter referred to as "class information DB 12f"), a user information database 12g (hereinafter referred to as "user information DB 12g"), etc. are constructed.

[0056] As shown in FIG. 4, the question DB 12a stores, in association with a question ID indicating each question, a question type ID indicating the major classification and minor classification of the question, the question content, etc. As the question content, for example, questions about personality, which is a psychological characteristic, are questions regarding extroversion, openness, honesty, agreeableness, neurotic tendency, etc. Questions about preferences for services, which are psychological characteristics, are questions regarding recording of health condition data, questions regarding recording of implemented exercises, questions regarding goal setting such as things to be achieved and exercises to be done, questions regarding approval from the surroundings for exercises, questions regarding likability for exercises such as being able to enjoy the exercise itself, questions regarding efficiency such as being able to exercise while commuting or doing housework, questions regarding relationship with others such as being able to exercise while competing with others, questions regarding rewards such as being able to get points or send messages when exercising, etc. For each question, there are also questions with specific examples or questions exemplified for easy answering. These questions are an example of the questions in the first question group. The number of these questions is about 200, which is an example of the number of the first questions in the first question group. Note that the question DB 12a may have questions in a second question group with a number of questions less than the number of the first questions.

[0057] As shown in FIG. 5, the outcome DB 12a stores an outcome type ID, the content of the outcome, etc. in association with an outcome ID indicating each outcome variable. When the outcome ID of the outcome variable indicates "number of steps", the type of the outcome is "physical activity level", and the content of the outcome is "number of steps". When the outcome ID of the outcome variable indicates "body weight", the type of the outcome is "physical activity level", and the content of the outcome is "number of steps". The outcome type ID may be placed in the upper digits of the outcome ID of the outcome variable.

[0058] The intervention information DB 12c stores information related to the classification of interventions. For example, as shown in FIG. 6, the intervention information DB 12c stores an outcome type ID, an intervention classification ID, the content of the intervention, a question ID of a question related to the intervention, etc. in association with an intervention ID indicating each intervention. As shown in FIG. 7, the interventions are divided into a plurality of hierarchies such as a major classification and a minor classification. The major classification of the intervention is, for example, "self-monitoring" in which the target user T monitors the outcome by himself / herself, "goal setting" in which the target of the outcome of the target user T is set, "reward and threat" in which an incentive or a penalty is given to the target user T according to the outcome, etc. Other examples of the major classification of the intervention include an intervention of "game nature" incorporating competitiveness into the intervention, an intervention of "efficiency" using idle time, etc., an intervention of "social nature" related to others, and an intervention of "outcome prediction" providing future health status, etc.

[0059] Furthermore, the "self-monitoring" in major category A is classified into "monitoring of actions" that monitors the outcomes that appear when the target user T is acting, "monitoring of results" that monitors the outcomes that appear as a result of the actions of the target user T, etc. The "goal setting" in major category B is classified into "deciding goals" that sets outcome goals for the target user T, "action plan" that sets a plan for achieving the outcome goals for the target user T, etc. The "rewards and threats" in major category C is classified into "physical rewards" that give points, etc. when the outcome goals are achieved, "social rewards" that send messages, etc. when the outcome goals are achieved, etc. Note that for the intervention classification ID, the part indicating the major category may be at the upper level and the part indicating the minor category may be at the lower level. Also, they may be separate like the major category ID and the minor category ID.

[0060] Furthermore, at a higher hierarchical level of this classification, there are types of outcomes, which are indicated by the outcome type ID. Note that since the classification system of the intervention is independent of the type of outcome, for each type of outcome, as major categories of the intervention, they are classified into A, B, C, etc., and furthermore, major category A is subdivided into A1, A2, ···, major category B is subdivided into B1, B2, ···, etc.

[0061] More specifically, when the type of outcome is "physical activity level", examples of the intervention content of "monitoring of actions" in A1 include "recording the number of steps taken daily" and "recording the number of stairs climbed". Examples of the intervention content of "monitoring of results" in A2 include "recording weight (as the result of exercise)", examples of the intervention content of "deciding goals" in B1 include "achieving 10,000 steps", examples of the intervention content of "action plan" in B2 include "making a training plan", examples of the intervention content of "physical rewards" in C1 include "reducing points for every 1,000 steps walked", and examples of the intervention content of "social rewards" in C2 include "congratulatory message when the step goal is achieved", etc.

[0062] When the type of outcome is "nutritional status", examples of the intervention content for subcategory A1 include "having the daily diet recorded", for subcategory A2 "recording skin condition (results of diet improvement)", for subcategory B1 "achieving a low-carb diet for one week", for subcategory B2 "deciding the daily menu", for subcategory C1 "point reduction each time a diet record is entered", and for subcategory C2 "congratulatory message each time lipids are reduced", etc.

[0063] Each intervention is associated, in particular, with questions about preferences for services, which are psychological characteristics. For example, the "self-monitoring" intervention corresponds to questions about recording health status data and questions about recording the exercise or diet carried out. The "goal setting" intervention corresponds to questions about goal setting. The "reward and threat" intervention corresponds to questions about rewards. The "gamification" intervention corresponds to questions about the preference for exercise or diet. The "efficiency" intervention corresponds to questions about efficiency. The "sociality" intervention corresponds to questions about approval from those around regarding exercise or diet, questions about relationships with others, etc. The relationship between the intervention and the questions may be an association at the level of major categories of interventions such as "self-monitoring", "goal setting", "reward and threat", "gamification", "efficiency", "sociality", etc., rather than the content of individual specific interventions. That is, the relationship between the intervention and the questions may include the relationship between the type of intervention and the questions. Note that the relationship between the questions and the intervention may be common or may have different associations for each type of outcome such as "physical activity level" and "nutritional status". As questions related to the intervention, questions other than questions about preferences for services may also be used. For example, for the question "Is there no time for exercise at work?" among lifestyle questions, an "efficiency" intervention may be associated, and for the question "Do you have a spouse?", a "sociality" intervention may be associated.

[0064] In this way, the intervention information DB12c is an example of an intervention-psychological question memory means that associates interventions for supporting health with psychological questions.

[0065] As shown in FIG. 8, the response DB 12d stores, in association with the user ID of user P, the question ID, response content, response score, etc. The response score is calculated from the responses to each question in the questionnaire, i.e., the values selected on a 5-point scale, 7-point scale, etc. These response scores indicate basic data such as an individual's attributes (an example of human attributes), the user's environmental factors, the user's psychological characteristics, and the user's physical and mental state. Regarding environmental factors, psychological characteristics, and physical and mental state, the total score calculated from each item may be stored in the response DB 12d. The total score for environmental factors is calculated from the response scores for each question regarding "social support", the response scores for each question regarding "physical environment for exercise implementation", etc. Note that basic data regarding the target user T is also added to the response DB 12d. When added in this way, this target user T also becomes an example of others other than the target person for other target users T.

[0066] As shown in FIG. 9, the correlation information DB 12e stores correlation information in association with two question IDs indicating between questions. The correlation information is a correlation coefficient (an example of correlation data between questions in the first question group) calculated from the response scores for the two questions indicated by the two question IDs for all users P. As shown in FIG. 10, when each node is associated with each question, the strength of the correlation can be schematically shown by the thickness of the arc connecting each node. As shown in FIG. 10, each question forms a network structure of each question through the correlation information. Note that the color of the question node indicates, for example, the category of the question.

[0067] As shown in FIG. 11, the class information DB12f stores intervention IDs of a plurality of interventions related to a class in association with a class perspective ID and a class ID. A class is a group clustered from a certain perspective based on the number of response points. As a certain perspective, in the case of personality as a psychological characteristic, the class perspective ID indicates "personality", and the class ID indicates "extroversion", "openness", "honesty", "harmony", or "neurotic tendency". Also, when a certain perspective is the exercise environment as an environmental factor, Class 1: "Living in the suburbs, there are no exercise facilities such as gyms in the vicinity, but there is an outdoor exercise environment for jogging and walking", Class 2: "Living in the suburbs, there are abundant exercise facilities such as gyms and an outdoor exercise environment", Class 3: "Living in the city center, there are abundant exercise facilities such as gyms, while the outdoor exercise environment is not well - equipped", Class 4: "Living in the city center, neither exercise facilities such as gyms nor the outdoor exercise environment is well - equipped", etc. can be cited. When a certain perspective is the motivation for exercise in terms of physical and mental state, Class 1: "Exercising because exercising itself is fun", Class 2: "Exercising because people around (family, friends, doctors, etc.) are satisfied by exercising", Class 3: "Exercising because physical and mental health is improved by exercising", Class 4: "Exercising because one looks better and more attractive by exercising", etc. can be cited. Also, as a class perspective, it may be a class perspective that crosses human attributes, psychological characteristics, environmental factors, and physical and mental states, such as personality × exercise environment, environment × attribute, etc. For example, in the case of personality × environmental factor, classes can be created by combinations such as Class 1: High extroversion and a well - equipped exercise environment, Class 2: High extroversion and an ill - equipped exercise environment. Note that the intervention IDs of a plurality of interventions related to a class may also be intervention classification IDs.

[0068] Thus, the class information DB12f is an example of intervention - class storage means that associates interventions for supporting health with classes.

[0069] As shown in FIG. 12, the user information DB 12g stores, in association with the user ID of the target user T, the question ID of the questions in the second question group, the response content, the response score, the class ID of the classified class, the intervention ID of the determined intervention, the date and time when the response was made, and the like. The user information DB 12g may store outcome information due to the intervention received by the target user T.

[0070] When the output unit 13 outputs video, for example, it has a liquid crystal display element or an EL (Electro Luminescence) element, etc. When the output unit 13 outputs sound, it has a speaker.

[0071] The input unit 14 has, for example, a keyboard and a mouse, etc.

[0072] The input / output interface unit 15 is configured to perform interface processing between the communication unit 11, the storage unit 12, etc. and the control unit 16.

[0073] The control unit 16 has a CPU (Central Processing Unit) 16a, a ROM (Read Only Memory) 16b, a RAM (Random Access Memory) 16c, etc. Then, the control unit 16 calculates the predicted response curve of each target user T by the CPU 16a reading and executing the codes of various programs stored in the ROM 16b and the storage unit 12.

[0074] (2.2 Configuration and Functions of the Portable Terminal Device 20) Next, the configuration and functions of the portable terminal device 20 will be described with reference to FIG. 13.

[0075] FIG. 13 is a block diagram showing an example of the schematic configuration of the portable terminal device 20.

[0076] As shown in FIG. 13, the mobile terminal device 20 includes an output unit 21, a storage unit 22, a communication unit 23, an input unit 24, a sensor unit 25, an input / output interface unit 26, and a control unit 27. The control unit 27 and the input / output interface unit 26 are electrically connected via a system bus 28. Also, each mobile terminal device 20 is assigned a mobile terminal ID.

[0077] The output unit 21 has, for example, a liquid crystal display element or an EL element as a display function. The output unit 32 has a speaker for outputting sound.

[0078] The storage unit 22 is composed of, for example, a hard disk drive, a solid state drive, etc. The storage unit 22 stores various programs such as an operating system and applications for the mobile terminal device 20. Note that the various programs may be acquired from another server device or the like via the network N, or may be recorded on a recording medium and read via a drive device. Also, the storage unit 22 may have information of a database such as the storage unit 12 of the information processing server device 10.

[0079] The communication unit 23 is electrically or electromagnetically connected to the network N to control the communication state with the information processing server device 10 and the like. Also, the communication unit 23 has a wireless communication function for communicating with the wearable terminal device 30 by radio waves or infrared rays.

[0080] The input unit 24 has, for example, a touch switch type display panel such as a touch panel. The input unit 24 acquires the position information of the output unit 21 where the user's finger touches or approaches. The input unit 24 has a microphone for inputting sound.

[0081] The sensor unit 25 includes various sensors such as a GPS (Global Positioning System) sensor, an azimuth sensor, an acceleration sensor, a gyro sensor, a pressure sensor, a temperature sensor, and a humidity sensor. The sensor unit 25 includes imaging elements such as a CCD (Charge Coupled Device) image sensor or a CMOS (Complementary Metal Oxide Semiconductor) image sensor of a digital camera. The mobile terminal device 20 acquires the current position information of the mobile terminal device 20 by means of the GPS sensor. Note that each sensor is assigned a unique sensor ID.

[0082] The input / output interface unit 26 is configured to perform interface processing between the output unit 21, the storage unit 22, etc. and the control unit 27.

[0083] The control unit 27 is composed of a CPU 27a, a ROM 27b, a RAM 27c, etc. And the control unit 27 causes the CPU 27a to read and execute various programs stored in the ROM 27b and the storage unit 22.

[0084] Note that the configuration and functions of the supporter terminal device 40 have a similar configuration and functions to those of the information processing server device 10 or the mobile terminal device 20.

[0085] When the supporter terminal device 40 is a personal computer, it has a similar configuration and functions to those of the information processing server device 10. When the supporter terminal device 40 is a tablet terminal, it has substantially the same configuration and functions as the mobile terminal device 20. Also, each supporter terminal device 40 is assigned a terminal ID.

[0086] (2.3 Configuration and Functions of Wearable Terminal Device 30) Next, the configuration and functions of the wearable terminal device 30 will be described with reference to FIG. 14.

[0087] FIG. 14 is a block diagram showing an example of the schematic configuration of the wearable terminal device 30.

[0088] As shown in FIG. 14, the wearable terminal device 30 includes an output unit 31, a storage unit 32, a communication unit 33, an input unit 34, a sensor unit 35, an input / output interface unit 36, and a control unit 37. The control unit 37 and the input / output interface unit 36 are electrically connected via a system bus 38. Each wearable terminal device 30 is assigned a terminal ID. The wearable terminal device 30 has a clock function.

[0089] The output unit 31 includes, for example, a liquid crystal display element or an EL element as a display function, and a speaker or the like that outputs sounds such as notifications.

[0090] The storage unit 32 is constituted by, for example, a solid state drive or the like. The storage unit 32 stores various programs such as an operating system and applications for the wearable terminal device 30. Note that the various programs may be acquired from other server devices or the like via the network N through the connected portable terminal device 20, for example.

[0091] The communication unit 33 controls communication with the portable terminal device 20 by wireless communication. The communication unit 33 may be electrically or electromagnetically connected to the network N to control the communication state with the information processing server device 10 or the like.

[0092] The input unit 34 includes, for example, a touch switch type display panel such as a touch panel. The input unit 34 acquires the position information of the output unit 31 where the user's finger touches or approaches. The input unit 34 includes a microphone that inputs sounds.

[0093] The sensor unit 35 includes an acceleration sensor, a gyro sensor, a body temperature (temperature) sensor, a pressure sensor, an ultrasonic sensor, an optical sensor, an electrical sensor, a magnetic sensor, an image sensor, and the like. A unique sensor ID is assigned to each sensor.

[0094] The acceleration sensor measures the acceleration of the wearable terminal device 30. From the measurement data of the acceleration sensor, the movement of the arm of the target user T and the vertical movement of the target user T are measured. The gyro sensor measures the angular acceleration of the wearable terminal device 30. The wearable terminal device 30 measures the number of steps of the target user T, the posture during sleep, the number of turns in bed, etc. by means of the acceleration sensor and the gyro sensor.

[0095] The body temperature sensor measures the temperature of the contacted part. The pressure sensor measures, for example, the pulse wave. The optical sensor detects the response to the irradiation of electromagnetic waves on the skin or the like, that is, at least one of the reflected wave and the transmitted wave. By means of the optical sensor, components of blood such as the blood flow velocity and the oxygen concentration of the blood flow are measured. The ultrasonic sensor detects the response to the irradiation of ultrasonic waves, that is, at least one of the reflected wave and the transmitted wave.

[0096] The electrical sensor measures voltage, current, impedance, etc. The electrical sensor measures the electric field generated by muscle activity, blood flow, nerve excitation, etc. The electrical sensor also functions as a chemical sensor, a pH sensor, etc. by detecting components of sweat, etc. in combination with electrodes.

[0097] The magnetic sensor measures the magnetic field generated by muscle activity, blood flow, nerve excitation, etc.

[0098] The image sensor detects the skin color, surface temperature, surface movement, blood flow, sweating state, etc.

[0099] Also, the sensor unit includes a GPS sensor, an azimuth sensor, a barometric pressure sensor, etc. The wearable terminal device 30 may measure the moving distance, momentum, etc. by means of these sensors.

[0100] Also, the microphone of the input unit may capture the snoring and breathing sounds of the target user T during sleep.

[0101] The input / output interface unit 36 is configured to perform interface processing between the output unit 31, the storage unit 32, etc. and the control unit 37.

[0102] The control unit 37 is composed of a CPU 37a, a ROM 37b, a RAM 37c, etc. Then, in the control unit 37, the CPU 37a reads and executes various programs stored in the ROM 37b and the storage unit 32.

[0103] Note that, as the type of the wearable terminal device 30, in addition to the wristband type, a glasses type, a ring type, a shoe type, a chest type, a jewelry type, a clothing type, etc. may also be used. As the wearable terminal device 30, a combination of a wristband type wearable terminal device and a wearable terminal device other than the wristband type may be worn, or a plurality of the same type of wearable terminal devices may be worn.

[0104] [3. Operation Example of Information Processing System 1] An operation example of the information processing system 1 will be described with reference to FIG. 15.

[0105] (3.1 Operation Example of Correlation Data Calculation) The operation of calculating the correlation data will be described with reference to FIG. 15. FIG. 15 is a flowchart showing an operation example of correlation data calculation.

[0106] First, a questionnaire survey is conducted on a large number of about 20,000 users P for the questions of the first questionnaire group with about 200 questions. For example, the information processing server device 10 transmits an application for answering the questionnaire including each question of the first questionnaire group to the mobile terminal device 20 of each user P. Each user P answers on the mobile terminal device 20. The mobile terminal device 20 transmits the user ID of the user P, each question ID, and the answer data of the answer content corresponding to each question ID to the information processing server device 10. Here, the answer content is, in the case of age, the value of age, in the case of gender, the value obtained by digitizing male or female, and in the case of a 7-level answer, the value of the number selected from 1 to 7, etc.

[0107] As shown in FIG. 15, the information processing system 1 acquires answer data for the first set of questions (step S1). Specifically, the information processing server device 10 receives the answer data from the mobile terminal device 20 of each user P. The information processing server device 10 stores, in the answer DB 12d, the answer content and the answer score corresponding to each question ID in association with the user ID. Note that, in the case of a seven-level answer, the answer score is “−0.5” for level “1”, “−0.166” for level “2”, “−0.333” for level “3”, “0” for level “4”, “0.166” for level “5”, “0.333” for level “6”, and “0.5” for level “7”. In the case of gender, the answer score is “0.5” for male and “−0.5” for female, etc. As such, for each question, the answer score is set to a normalized value with 0 in the middle.

[0108] Next, the information processing system 1 calculates correlation data (step S2). Specifically, the information processing server device 10 calculates the correlation coefficient between two questions from the answer scores of the questions, and stores each correlation coefficient in the correlation information DB 12e in association with the combination of question IDs. More specifically, the information processing server device 10 calculates the multiplication of the answer scores for each combination of all questions, totals them for all users P, and calculates the correlation coefficient.

[0109] Next, the information processing system 1 stores the correlation data (step S4). Specifically, the information processing server device 10 stores the value of each correlation coefficient in the correlation information DB 12e in association with each pair of question IDs.

[0110] (3.2 Operation Example of Clustering) The operation of clustering will be described with reference to FIG. 16. FIG. 16 is a flowchart showing an operation example of clustering.

[0111] As shown in FIG. 16, the information processing system 1 acquires response data for the first question group (step S5). Specifically, the information processing server device 10 acquires response data for the first question group as in step S1.

[0112] Next, the information processing system 1 performs clustering (step S6). Specifically, the information processing server device 10 applies a method such as hierarchical clustering or non-hierarchical clustering to the response data to classify each user P into classes and extract feature quantities. Examples of hierarchical clustering include the group average method and the shortest distance method. Examples of non-hierarchical clustering include the k-means method.

[0113] In the case of the perspective of personality, clustering is performed based on the response data of each user P, using "extroversion", "openness", "honesty", "harmony", or "neurotic tendency" as feature quantities. In particular, each user P is classified based on the response scores for questions regarding personality.

[0114] Next, the information processing system 1 stores class data (step S4). Specifically, the information processing server device 10 stores, in the class information DB12f in association with the class ID, class data necessary for classification, such as feature vectors in the feature space by the questions of the first question group, center vectors of each class in the feature space (an example of the center coordinates of the class), distances from the center, and data indicating the boundaries of the class regions. The center coordinates of the class are the average value, median value, etc. of those belonging to the class. Examples of methods for representing the distance from the center coordinates of the class include the Euclidean distance and the Mahalanobis distance. Also, the class data may be stored in the class information DB12f in association with a class perspective ID indicating differences in the perspectives of personality, exercise environment, and motivation for exercise. Further, after clustering, the class perspective ID and the class ID may be stored in the response DB12d, etc. in association with the user ID of each user P.

[0115] (3.3 Operation Example of Calculation of the Second Question Group) An operation example of calculating the second question group will be described with reference to FIG. 17. FIG. 17 is a flowchart showing an operation example of calculating the second question group.

[0116] As shown in FIG. 17, the information processing system 1 acquires data of the first question group (step S10). Specifically, the information processing server device 10 refers to the question DB 12a and acquires data of the first question group.

[0117] Next, the information processing system 1 acquires correlation data (step S11). Specifically, the information processing server device 10 refers to the correlation information DB 12e and acquires correlation data.

[0118] Next, the information processing system 1 acquires class data (step S12). Specifically, the information processing server device 10 refers to the class information DB 12f and acquires class data.

[0119] Next, the information processing system 1 extracts the second question group (step S13). Specifically, the information processing server device 10 calculates the second question group based on the correlation data and / or class data. Questions such as gender and age are included as essential questions in the second question group.

[0120] As an example of calculating the second question group based on class data, in the case of the perspective of personality, questions with high relevance are extracted from each class of "extroversion", "openness", "honesty", "harmony", or "neurotic tendency". And as an example of calculating the second question group based on correlation data and class data, when there are multiple questions with high relevance to a class in the information processing server device 10, in order to further narrow down the questions, based on the correlation data, questions having a correlation coefficient of a predetermined value or more in relation to other questions in the first question group may be selected. In FIG. 10, it is a question with a large number of arcs with a predetermined thickness or more. In particular, when there are multiple questions in one class and a part of them is selected, this criterion based on correlation data is used.

[0121] Furthermore, in the chain of arcs of correlation with the thus-extracted questions, questions with weak links may be extracted and added to the second question group. Thereby, a question group that is close to the first question group and has a good balance can be obtained.

[0122] As an example of calculating the second question group based on correlation data, as shown in FIG. 10, the questions in the first question group are divided among the islands Is of nodes that are linked with a correlation coefficient equal to or greater than a predetermined value, and some questions are extracted from each island Is to be the second question group. Also, if the total number of questions in the second question group is less than the number of first questions in the first question group, questions other than those extracted from the first question group may be added. For example, this is the case when, additionally, a question that one wishes to ask the target user T and that is not in the first question group arises.

[0123] Next, the information processing system 1 stores the second question group (step S14). Specifically, the information processing server device 10 stores the class perspective ID and the class ID in the question DB 12a in association with the question IDs of the questions in the second question group. Note that the database of the second question group may be separate from the question DB 12a. A question group ID for the second question group may be assigned. The question IDs of the questions belonging to the second question group are stored in association with the question group ID.

[0124] (3.4 Operation Example of Intervention Decision for Each Class) An operation example of the intervention decision for each class will be described with reference to FIG. 18. FIG. 18 is a flowchart showing an operation example of the intervention decision for each class.

[0125] As shown in FIG. 18, the information processing system 1 acquires answer data for the first question group (step S20). Specifically, the information processing server device 10 acquires answer data for the first question group as in step S1.

[0126] Next, the information processing system 1 acquires class data (step S21). Specifically, the information processing server device 10 acquires class data as in step S12.

[0127] Next, the information processing system 1 totals the scores of the questions about service preferences for each class (step S22). Specifically, the information processing server device 10 divides all users P into classes determined by clustering, and calculates the total score of each question about service preferences for the users P belonging to each class. The information processing server device 10 extracts the top questions for each class. The top questions may be only the top one or multiple ones.

[0128] Next, the information processing system 1 determines the intervention for each class (step S23). Specifically, the information processing server device 10 refers to the intervention information DB12c including the question IDs of the questions related to the intervention, and determines the corresponding intervention from the question IDs of the top questions for each class. Note that instead of the intervention ID, an intervention classification ID may be used. In this case, the type of intervention is determined for each class instead of the content of individual specific interventions.

[0129] Next, the information processing system 1 stores the results (step S24). Specifically, the information processing server device 10 associates the intervention IDs of the interventions corresponding to the top questions for each class with the class perspective ID and the class ID in descending order of the total score, and stores them in the class information DB12f. The first intervention corresponds to the first intervention ID, the second intervention corresponds to the second intervention ID, the third intervention corresponds to the third intervention ID, and so on.

[0130] [4. Operation example of the information processing server device 10 in response to a request from the mobile terminal device 20] (4.1 Operation example of the first embodiment) An operation example of the first embodiment of the information processing server device 10 in response to a request from the mobile terminal device 20 will be described with reference to the drawings. FIG. 19 is a schematic diagram showing an example of a screen displayed on the mobile terminal device 20. FIG. 20 is a flowchart showing an operation example of the first embodiment of the information processing server device 10 in response to a request from the mobile terminal device 20.

[0131] The target user T who answers the questions in the second question group launches the dedicated application. As shown in FIG. 19, the questions in the second question group are sequentially displayed on the display of the output unit 21 of the mobile terminal device 20 of the target user T. The target user T answers according to the questions in the second question group. In addition, the support user S who provides health advice may input the answer of the target user T using the supporter terminal device 40 while asking questions to the target user T. Further, the second question group may be extracted by the information processing server device 10 referring to the question DB 12a based on the class viewpoint or the like and incorporated into the dedicated application in advance, or may communicate with the mobile terminal device 20 to transmit the second question group to the mobile terminal device 20.

[0132] The mobile terminal device 20 transmits the input answer data to the information processing server device 10 together with the question group ID of the second question group and the user ID of the target user T. When the support user S inputs to the supporter terminal device 40, the supporter terminal device 40 transmits the input answer data to the information processing server device 10 together with the user ID of the target user T.

[0133] As shown in FIG. 20, the information processing system 1 acquires the answer data of the target person (step S30). Specifically, the information processing server device 10 acquires the user ID of the target user T, the answer data, and the question group ID of the second question group from the mobile terminal device 20. The information processing server device 10 stores the answer data together with the received user ID of the target user T in the answer DB 12d or the like.

[0134] In this way, the information processing server device 10 functions as an example of a target person answer score acquisition means for acquiring the target person answer scores obtained by scoring each answer of the target person to each question in the second question group having a smaller number of questions than the first question group including the questions in the first question group having the first number of questions.

[0135] Next, the information processing system 1 acquires class data (step S31). Specifically, the information processing server device 10 acquires class data by referring to the class information DB 12f.

[0136] Next, the information processing system 1 acquires correlation data (step S32). Specifically, the information processing server device 10 refers to the correlation information DB 12e and acquires the correlation coefficients between one question not belonging to the second question group and each question belonging to the second question group based on the question IDs of the questions not belonging to the second question group in the first question group and the question IDs of the questions belonging to the second question group. This is repeated for all questions not belonging to the second question group until the correlation coefficients are acquired for all such questions.

[0137] Next, the information processing system 1 estimates the response scores (step S33). Specifically, the information processing server device 10 calculates the estimated response scores of the questions in the first question group from the response scores of each question in the second question group and the correlation coefficients between the questions in the first question group and the questions in the second question group. For example, p = A px1 ×x1 + A px2 ×x2 + A px3 ×x3 + ··· (Equation 1) From this, the information processing server device 10 calculates the estimated response scores of a predetermined question in the first question group. Here, p is the estimated response score of the predetermined question in the first question group to be estimated, x1, x2, x3 ··· are the response scores of each question in the second question group, and A px1 , A px2 , A px3 , ··· are the correlation coefficients between the predetermined question in the first question group and each question in the second question group. The information processing server device 10 calculates the estimated response scores for all questions in the first question group other than the questions in the second question group according to Equation 1. Note that the estimated response scores may be corrected so that the range of the estimated response scores falls within a predetermined range.

[0138] In this way, the information processing server device 10 functions as an example of an answer score estimation means for estimating the estimated answer scores of the subject for each question in the first question group according to the correlation data between the questions in the first question group calculated from the other answer scores obtained by scoring each answer of others other than the subject for each question in the first question group, based on the subject answer scores. The information processing server device 10 functions as an example of an answer score estimation means for calculating the estimated answer scores of the subject for the questions in the first question group to be estimated from the correlation coefficient between the questions in the first question group to be estimated and each question in the second question group, and the subject answer scores.

[0139] Next, the information processing server device 10 stores the estimated answer scores in the user information DB12g in association with the user ID and question ID of the target user T.

[0140] Next, the information processing system 1 classifies according to the estimated answer scores (step S34). Specifically, the information processing server device 10 refers to the class data in the class information DB12f and determines the class to which the target user T belongs from the answer scores and estimated answer scores of each question in the second question group of the target user T based on a predetermined class viewpoint ID. The information processing server device 10 stores the class viewpoint ID and the class ID of the classified class in the user information DB12g together with the date in association with the user ID of the target user T.

[0141] In this way, the information processing server device 10 functions as an example of a classification means for classifying the subject according to any of the classes obtained by clustering the others according to the other answer scores, and according to the subject answer scores and the estimated answer scores of the subject. The information processing server device 10 functions as an example of a classification means for determining the class to which it belongs from the center coordinates of the class, the subject answer scores, and the estimated answer scores of the subject in the feature space defined by the questions in the first question group.

[0142] Next, the information processing system 1 outputs the classification result (step S35). Specifically, the information processing server device 10 transmits the class perspective l and the class information of the classified class to the mobile terminal device 20 of the target user T. The mobile terminal device 20 of the target user T displays the class perspective and the class on the display of the output unit 21 by means of a dedicated application. For example, if the mobile terminal device 20 determines that "the class of your personality is 'openness'", it is displayed on the display of the output unit 21. Note that the information processing server device 10 may transmit health care advice etc. corresponding to the determined class to the mobile terminal device 20 of the target user T.

[0143] As described above, according to the present embodiment, the target user response scores obtained by scoring each response of the target user T to each question in the second question group having a smaller number of questions than the first number of questions are acquired, and the correlation data between the questions in the first question group calculated from the other user response scores obtained by scoring each response of the other user P other than the target user T to each question in the first question group is used. Accordingly, the estimated response scores of the target user T to each question in the first question group are estimated based on the target user response scores, and the target user T is classified into one of the classes obtained by clustering the other user P according to the other user response scores. Thus, in addition to the target user response scores for questions with a relatively small number of questions, the estimated response scores for questions that have not been answered are also used, so that the accuracy of information processing such as the classification of the target person based on the responses can be improved. Also, since each question in the second question group has a smaller number of questions than the first number of questions, the burden on the target user T to answer can be reduced.

[0144] When calculating the estimated response scores of the target user T to the questions in the first question group to be estimated from the correlation coefficients between the questions in the first question group to be estimated and the questions in the second question group and the target user response scores, the estimated response scores for the questions that have not been answered can be accurately calculated from the sum of the products of each target user response score and each correlation coefficient, and the accuracy of information processing such as the classification of the target person based on the responses can be improved.

[0145] In the feature space according to the questions of the first question group, when determining the class to which the center coordinates of the class, the subject's response score, and the estimated response score of the subject belong, in addition to the subject's response score, the distance from the estimated response score to the center coordinates of the class is also calculated to determine the class, so the accuracy is improved.

[0146] When the questions of the first question group include questions regarding human attributes, psychological characteristics, environmental factors, and psychosomatic states, and the class is a class based on the perspectives of human attributes, psychological characteristics, environmental factors, and / or psychosomatic states, in addition to the subject's response scores for a relatively small number of questions, the estimated response scores of the questions not answered are also used, so that the target user T can be classified more accurately into classes related to healthcare.

[0147] When the questions of the second question group include at least questions regarding human attributes and questions regarding psychological characteristics, it is advantageous for information processing such as classifying according to psychological characteristics.

[0148] (4.2 Second Embodiment) Next, an operation example of the second embodiment of the information processing server device 10 in response to a request from the mobile terminal device 20 will be described with reference to FIG. 21. Note that, for the same or corresponding parts as those in the first embodiment, only different configurations and operations will be described using the same reference numerals. The same applies to other embodiments and modifications.

[0149] FIG. 21 is a flowchart showing an operation example of the second embodiment of the information processing server device in response to a request from the mobile terminal device.

[0150] First, similar to the operation example of the first embodiment, the target user T who answers the questions of the second question group starts the dedicated application. The questions of the second question group are sequentially displayed on the display of the output unit 21 of the mobile terminal device 20 of the target user T, and the target user T answers according to the questions of the second question group. The mobile terminal device 20 transmits the input response data to the information processing server device 10 together with the question group ID of the second question group and the user ID of the target user T.

[0151] As shown in FIG. 21, the information processing system 1 acquires the response data of the target person (step S40). Specifically, as in step S30, the information processing server device 10 acquires the user ID of the target user T, the response data, and the questionnaire group ID of the second questionnaire group from the mobile terminal device 20.

[0152] In this way, the information processing server device 10 functions as an example of a target person response score acquisition means for acquiring the target person response scores obtained by scoring each response of the target person to each question in the second questionnaire group having a number of questions less than the first number of questions, including the questions in the first questionnaire group having the first number of questions.

[0153] Next, the information processing system 1 acquires class data (step S41). Specifically, as in step S31, the information processing server device 10 refers to the class information DB 12f and acquires the class data.

[0154] Next, the information processing system 1 acquires correlation data (step S42). Specifically, as in step S32, the information processing server device 10 acquires the correlation data.

[0155] Next, the information processing system 1 estimates the response scores (step S43). Specifically, as in step S33, the information processing server device 10 calculates the response scores for all the questions in the first questionnaire group other than the questions in the second questionnaire group based on the correlation data.

[0156] In this way, the information processing server device 10 functions as an example of an answer score estimation means for estimating the estimated answer scores of the subject for each question in the first question group according to the correlation data between the questions in the first question group calculated from the other answer scores obtained by scoring each answer of others other than the subject for each question in the first question group, based on the subject answer scores. The information processing server device 10 functions as an example of an answer score estimation means for calculating the estimated answer scores of the subject for the questions in the first question group to be estimated, from the correlation coefficient between the questions in the first question group to be estimated and each question in the second question group, and the subject answer scores.

[0157] Next, the information processing system 1 classifies according to the estimated answer scores (step S44). Specifically, the information processing server device 10 determines the class to which the target user T belongs as in step S34. The information processing server device 10 stores the class viewpoint ID and the class ID of the classified class in the user information DB12g in association with the user ID of the target user T.

[0158] In this way, the information processing server device 10 functions as an example of a classification means for classifying the subject according to any one of the classes obtained by clustering the others according to the other answer scores, and according to the subject answer scores and the estimated answer scores of the subject. The information processing server device 10 functions as an example of a classification means for determining the class to which it belongs from the center coordinates of the class, the subject answer scores, and the estimated answer scores of the subject in the feature space defined by the questions in the first question group.

[0159] Next, the information processing system 1 determines the intervention to be presented to the target person according to the classified class (step S45). Specifically, the information processing server device 10 refers to the class information DB12f that stores the intervention for each class determined in step S23, and reads the corresponding intervention ID based on the class perspective ID and the class ID of the classified class, thereby determining the intervention (including the type of intervention) to be presented to the target person. The information processing server device 10 stores the read intervention ID together with the date in the user information DB12g in association with the user ID of the target user T. The intervention to be presented to the target person may be only the intervention corresponding to the first intervention ID, or may be a plurality of upper-level interventions.

[0160] Next, the information processing system 1 outputs the result (step S46). Specifically, The information processing server device 10 refers to the intervention information DB12c and reads the intervention content based on the read intervention ID. The information processing server device 10 transmits the read intervention content to the mobile terminal device 20 of the target user T. The mobile terminal device 20 displays the intervention content on the display of the output unit 21 by means of a dedicated application. Note that the information processing server device 10 may also transmit the class perspective l and the class information of the classified class to the mobile terminal device 20 of the target user T.

[0161] In this way, the information processing server device 10 functions as an example of an intervention output means for outputting the determined intervention.

[0162] Next, according to the display of the dedicated application, the target user T sets the intervention to be received. In particular, when the type of intervention is determined from the classified class, a plurality of interventions belonging to the determined type of intervention are displayed on the dedicated application, and the target user T selects the intervention to be accepted from among them. For example, when aiming to improve health by walking, an intervention of "recording the daily number of steps" is set. The mobile terminal device 20 transmits the intervention ID of the selected intervention to the information processing server device 10 together with the user ID of the target user T.

[0163] Next, the mobile terminal device 20 connects to the wearable terminal device 30 at predetermined intervals and acquires information such as the number of steps and heart rate from the wearable terminal device 30. The mobile terminal device 20 may calculate the number of steps from information such as acceleration from an acceleration sensor or the like of the wearable terminal device 30.

[0164] The target user T receives intervention by looking at the number of steps for one day displayed on the mobile terminal device 20 for one week and inputting the number of steps walked in a day into the application or recording it on a recording sheet. When the intervention is "recording the number of steps every day", a method of consciously making the target user T perform the task is preferable. Note that the mobile terminal device 20 may notify the number of steps for yesterday or the current day at a predetermined time at least once a day. Note that the weight for each day may be input. Note that the intervention is not necessarily once a day, and the current number of steps may be notified or input at predetermined intervals such as every hour, every two hours, every three hours, etc.

[0165] The mobile terminal device 20 transmits outcome information such as the cumulative number of steps and average heart rate for one day, together with the user ID of the target user T, to the information processing server device 10. The information processing server device 10 stores the outcome information such as the number of steps and heart rate, together with the time such as the date, in the user information DB12g together with the received user ID of the target user T.

[0166] As described above, according to the present embodiment, the target user response scores obtained by scoring each response of the target user T to each question in the second question group having a smaller number of questions than the first question group, which includes the questions in the first question group having the first number of questions, are obtained. According to the correlation data between the questions in the first question group calculated from the other user responses of the users P other than the target user T to each question in the first question group, the estimated response scores of the target user T to each question in the first question group are estimated based on the target user response scores. The target user T is classified according to the target user response scores and the estimated response scores of the target user into any of the classes obtained by clustering other users P according to the other user response scores. By referring to the class information DB12f that associates the intervention for supporting health with the class, the intervention to be presented to the target user T is determined according to the classified class. In addition to the target user response scores for questions with a relatively small number of questions, the estimated response scores for questions that have not been answered are also used, so that the accuracy of information processing such as determining the intervention for the target user T based on the responses can be improved. Also, the intervention to be presented can be known from the class to which the target user T belongs. Also, since the intervention can be provided uniformly for each class, the outcome analysis by the intervention can be analyzed for each class. Also, since each question in the second question group has a smaller number of questions than the first question group, the burden on the target user T to answer can be reduced.

[0167] When outputting the determined intervention, it can be transmitted to the mobile terminal device 20 of the target user T to notify the target user T of the intervention. In particular, when the intervention to be presented is of the type of intervention, a plurality of interventions belonging to the same type can be displayed for the target user T to select.

[0168] When calculating the estimated response scores of the target user to the questions in the first question group to be estimated from the correlation coefficients between the questions in the first question group to be estimated and each question in the second question group and the target user response scores, the estimated response scores of the questions that have not been answered can be accurately calculated from the sum of the products of each target user response score and each correlation coefficient, and the accuracy of information processing such as determining the intervention for the target user T based on the responses can be improved.

[0169] In the feature space according to the questions of the first question group, when determining the class to which the center coordinates of the class, the subject's response score, and the estimated response score of the subject belong, in addition to the subject's response score, the distance from the estimated response score to the center coordinates of the class is also calculated to determine the class. Therefore, the accuracy of classification can be improved, and the accuracy of information processing such as the determination of the intervention of the target user T can be improved.

[0170] When the questions of the first question group include questions regarding human attributes, psychological characteristics, environmental factors, and physical and mental states, and the class is a class based on the perspectives of human attributes, psychological characteristics, environmental factors, and / or physical and mental states, in addition to the subject's response score for a relatively small number of questions related to healthcare, the estimated response scores of the unanswered questions are also used, resulting in responses related to healthcare. Therefore, the accuracy of information processing such as the determination of the intervention of the subject based on the responses can be improved.

[0171] When the questions of the second question group include at least questions regarding human attributes and questions regarding psychological characteristics, in particular, when the psychological questions are questions regarding service preferences, the accuracy of information processing such as the determination of the intervention of the subject based on the responses can be improved.

[0172] (4.3 Operation Example of Re-Response) Next, the operation example of re-response will be described with reference to FIG. 22. FIG. 22 is a flowchart showing the operation example of re-response.

[0173] As shown in FIG. 22, the information processing system 1 determines whether it is longer than a predetermined period (step S50). Specifically, the information processing server device 10 refers to the user information DB 12g, and based on the user ID of each target user T, reads out the date and time classified into the class in the previous first embodiment or the date and time when the intervention was determined in the previous second embodiment. The information processing server device 10 determines whether a predetermined period has elapsed since the read date and time. Since personal attributes and environmental factors often change due to factors such as job transfer and marriage after several years, the predetermined period is preferably in years. The predetermined period does not have to be the same for each target user T. For example, the predetermined period may be after the next health check or may be changed according to the access frequency of the healthcare app. When the access frequency of the healthcare app is high, the predetermined time is shortened.

[0174] If it is not longer than the predetermined period (step S50: NO), the information processing system 1 returns to step S50 and periodically repeats the determination of whether it is longer than the predetermined period for each target user T.

[0175] If it is longer than the predetermined period (step S50: YES), the information processing system 1 issues a re-response notification (step S51). Specifically, the information processing server device 10 sends a notification to the mobile terminal device 20 of the target user T for whom the predetermined period has elapsed, prompting a re-response for the re-implementation of the questionnaire. When the target user T responds again, similar to the operation examples of the first embodiment or the second embodiment, the target user T starts the dedicated app. The questions of the second question group are sequentially displayed on the display of the output unit 21 of the mobile terminal device 20 of the target user T, and the target user T answers again according to the questions of the second question group. The mobile terminal device 20 transmits the input answer data to the information processing server device 10 together with the question group ID of the second question group and the user ID of the target user T.

[0176] Next, the information processing system 1 acquires the response data of the target person (step S52). Specifically, the information processing server device 10 acquires the user ID of the target user T, the response data, and the questionnaire group ID of the second questionnaire group from the mobile terminal device 20 as in step S30 or step S40.

[0177] In this way, the information processing server device 10 functions as an example of a target person response score acquisition means for acquiring the target person response scores obtained by scoring each response of the target person to each question in the second questionnaire group having a smaller number of questions than the first questionnaire group, including the questions in the first questionnaire group having the first number of questions. The information processing server device 10 functions as an example of a target person response score acquisition means for acquiring the target person response scores for each question in the second questionnaire group that is implemented again after a predetermined period.

[0178] Next, the information processing system 1 classifies according to the estimated response score of the target person and / or determines, evaluates, and presents an intervention to the target person. (Step S53). Specifically, the information processing server device 10 acquires class data as in step S31, acquires correlation data as in step S32, estimates the response score as in step S33, and classifies according to the estimated response score as in step S34. Alternatively, the information processing server device 10 acquires class data as in step S41, acquires correlation data as in step S42, estimates the response score as in step S43, classifies according to the estimated response score as in step S44, and determines an intervention to be presented to the target person according to the classified class as in step S45.

[0179] In this way, the information processing server device 10 functions as an example of a classification means for classifying the target person into any of the classes according to the target person response scores and the estimated response scores of the target person in the result of the re-implementation. The information processing server device 10 functions as an example of an intervention determination means for determining the intervention to be presented to the target person according to the target person response scores and the estimated response scores of the target person in the result of the re-implementation.

[0180] Next, the information processing server device 10 refers to the user information DB 12g and evaluates the changes regarding the target user T by comparing whether it is different from the previous class and / or whether it is different from the intervention presented previously. It is good to output a change if it is different from the class and intervention assigned based on the data at the time of the previous input, and no change if it is not different.

[0181] Next, the information processing system 1 outputs the result (step S54). Specifically, the information processing server device 10 outputs the result as in step S35 or step S46.

[0182] As described above, according to the present embodiment, when obtaining the subject response scores for each question in the second question group that was implemented again after a predetermined period, and classifying the target user T into any class according to the subject response scores and the estimated response scores of the target user T in the result of the re-implementation, after several years, due to factors such as job transfer and marriage, personal attributes and environmental factors often change. However, by notifying after a predetermined period, it is possible to capture the change in the class to which the target user T belongs.

[0183] When obtaining the subject response scores for each question in the second question group that was implemented again after a predetermined period, classifying the target user T into any class according to the subject response scores and the estimated response scores of the target user T in the result of the re-implementation, and determining the intervention to be presented to the target user T according to the class classified by the result of the re-implementation, after several years, due to factors such as job transfer and marriage, personal attributes and environmental factors often change. However, by notifying after a predetermined period, it is possible to present an intervention suitable for the target user T at that time.

[0184] (4.4 Variation) Next, a variation of the intervention determination in the second embodiment will be described with reference to FIG. 23. FIG. 23 is a flowchart showing an example of the operation of the information processing server device 10 in response to a request from the mobile terminal device 20.

[0185] Similar to the operation example of the second embodiment, the target user T who answers the questions in the second question group activates the dedicated application. On the display of the output unit 21 of the mobile terminal device 20 of the target user T, the questions in the second question group are sequentially displayed, and the target user T answers according to the questions in the second question group. The mobile terminal device 20 transmits the input answer data to the information processing server device 10 together with the question group ID of the second question group and the user ID of the target user T.

[0186] As shown in FIG. 23, the information processing system 1 acquires the answer data of the target person (step S60). Specifically, the information processing server device 10 acquires the user ID of the target user T, the answer data, and the question group ID of the second question group from the mobile terminal device 20 as in step S40.

[0187] In this way, the information processing server device 10 functions as an example of the target person answer score acquisition means for acquiring the target person answer scores obtained by scoring each answer of the target person to each question in the second question group having a smaller number of questions than the first question group, including the questions in the first question group having the first number of questions.

[0188] Next, the information processing system 1 acquires correlation data (step S61). Specifically, the information processing server device 10 acquires the correlation data as in step S42.

[0189] Next, the information processing system 1 estimates the answer scores (step S62). Specifically, the information processing server device 10 calculates the answer scores for all the questions in the first question group other than the questions in the second question group based on the correlation data as in step S43.

[0190] In this way, the information processing server device 10 functions as an example of an answer score estimation means for estimating the estimated answer scores of the subject for each question in the first question group according to the correlation data between the questions in the first question group calculated from the other answer scores obtained by scoring each answer of others other than the subject for each question in the first question group, based on the subject answer scores. The information processing server device 10 functions as an example of an answer score estimation means for calculating the estimated answer scores of the subject for the questions in the first question group to be estimated, from the correlation coefficient between the questions in the first question group to be estimated and each question in the second question group, and the subject answer scores.

[0191] Next, the information processing system 1 determines the intervention to be presented to the subject (step S63). Specifically, the information processing server device 10 refers to the intervention information DB 12c and determines the intervention (including the type of intervention) in descending order of the answer score or the estimated answer score, based on the question ID of the question corresponding to the intervention. Each intervention is particularly associated with a question about the preference for a service, which is a psychological characteristic, so the intervention corresponding to the question about the preference for the service with a high answer score or estimated answer score is determined. When the intervention is associated with a plurality of questions, the average answer score may be used.

[0192] Next, the information processing system 1 outputs the result (step S64). Specifically, the information processing server device 10 outputs the result as in step S46.

[0193] Note that the operation example of the re-answer may be applied to this modification example. That is, it is determined whether or not a predetermined period has elapsed since the date and time when the result was output in step S64. If the predetermined period has elapsed, the information processing server device 10 notifies the mobile terminal device 20 of the target user T of the re-answer.

[0194] As described above, according to this modification example, target user response scores obtained by scoring each response of target user T to each question in a second question group having a question count less than the first question count, including questions in a first question group having the first question count, are acquired. The first question group includes psychological questions regarding psychological characteristics. Based on correlation data between questions in the first question group calculated from the other user response scores obtained by scoring each response of user P, other than target user T, to each question in the first question group, the estimated response scores of target user T to each question in the first question group are estimated from the target user response scores. By referring to class information DB12f that associates interventions for health support with psychological questions and determining the interventions to be presented to target user T according to the target user response scores and the estimated response scores of target user T for the psychological questions, in addition to the target user response scores for questions with a relatively small number of questions, the estimated response scores for questions not answered are also used, so that the accuracy of information processing such as determining the interventions for target user T based on the responses can be improved. Also, since each question in the second question group having a question count less than the first question count is answered, the burden on target user T for answering can be reduced.

[0195] When the psychological question is a question regarding service preferences, the accuracy of information processing such as determining the intervention for the target person based on the response can be improved.

[0196] When outputting the determined intervention, it can be transmitted to the mobile terminal device 20 of target user T to notify target user T of the intervention. In particular, when the intervention to be presented is of the type of intervention, multiple interventions belonging to the same type can be displayed for target user T to select.

[0197] When calculating the estimated response scores of the target person for the questions in the first question group to be estimated from the correlation coefficients between the questions in the first question group to be estimated and each question in the second question group and the target user response scores, the estimated response scores for the questions not answered can be accurately calculated from the sum of products of each target user response score and each correlation coefficient, and the accuracy of information processing such as determining the intervention for target user T based on the response can be improved.

[0198] When outputting the determined intervention, it can be transmitted to the mobile terminal device 20 of the target user T to notify the target user T of the intervention. In particular, when the presented intervention is of the type of intervention, a plurality of interventions belonging to the same type can be displayed for the target user T to select.

[0199] When obtaining the subject response scores for each question in the second question group that was implemented again after a predetermined period, and determining the intervention to be presented to the target user T according to the subject response scores and the estimated response scores of the target user T in the result of the re-implementation, after several years, due to factors such as job transfer and marriage, personal attributes and environmental factors often change. However, by notifying after a predetermined period, an intervention suitable for the target user T at that time can be presented.

[0200] Furthermore, the present invention is not limited to the above-described embodiments. The above-described embodiments are examples, and those having a configuration substantially the same as the technical idea described in the claims of the present invention and exhibiting the same operational effects are included in the technical scope of the present invention regardless of what they are.

Explanation of Reference Numerals

[0201] 1: Information processing system (classification system, determination system) 10: Information processing server device (classification device, determination device) 12: Storage unit 12c: Intervention information database (intervention / psychological questionnaire storage means) 12f: Class information database (intervention / class storage means) 20: Mobile terminal device (terminal device) 30: Wearable terminal device (terminal device) 40: Supporter terminal device (terminal device) T: Target user (subject) P: Other user (other person)

Claims

1. Subject answer score acquisition means for acquiring subject answer scores obtained by scoring each answer of a subject to each question in a second question group having a number of questions less than the first number of questions, including questions in the first question group having the first number of questions; Answer score estimation means for estimating the estimated answer scores of the subject for each question in the first question group based on the subject answer scores, according to the correlation data between the questions in the first question group calculated from the other answer scores obtained by scoring each answer of others other than the subject to each question in the first question group; Classification means for classifying the subject according to the subject answer scores and the estimated answer scores of the subject into any one of the classes obtained by clustering the others according to the other answer scores; A classification device characterized by comprising the above.

2. In the classification device according to Claim 1, The answer score estimation means calculates the estimated answer scores of the subject for the questions in the first question group to be estimated from the correlation coefficient between the questions in the first question group to be estimated and each question in the second question group and the subject answer scores. A classification device characterized by this.

3. In the classification device according to Claim 1 or Claim 2, The classification means determines the class to which it belongs from the center coordinates of the class, the subject answer scores, and the estimated answer scores of the subject in the feature space defined by the questions in the first question group. A classification device characterized by this.

4. In the classification device according to Claim 1 or Claim 2, The questions in the first question group include questions regarding human attributes, psychological characteristics, environmental factors, and physical and mental states, A classification device characterized in that the class is a class based on the viewpoints of the human attributes, the psychological characteristics, the environmental factors, and / or the physical and mental states.

5. In the classification device according to Claim 4, A classification device characterized in that the questions in the second question group include at least questions regarding the human attributes and questions regarding the psychological characteristics.

6. In the classification device according to Claim 1 or Claim 2, The subject answer score acquisition means acquires the subject answer scores for each question in the second question group, which are implemented again after a predetermined period, A classification device characterized in that the classification means classifies the subject into any one of the classes according to the subject answer scores and the estimated answer scores of the subject in the result of the re-implementation.

7. Subject response score acquisition means for acquiring subject response scores obtained by scoring each response of a subject to each question in a second question group having a number of questions less than the number of questions in a first question group including the questions in the first question group having a first number of questions; Response score estimation means for estimating an estimated response score of the subject for each question in the first question group based on the subject response scores, according to correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of others other than the subject to each question in the first question group; Classification means for classifying the subject according to the subject response scores and the estimated response scores of the subject into any one of classes obtained by clustering the others according to the other response scores; Intervention determination means for determining the intervention to be presented to the subject according to the classified class, with reference to intervention-class storage means associating an intervention for supporting health with the class; A determination device characterized by comprising the above.

8. In the determination device according to claim 7, A determination device characterized by further comprising intervention output means for outputting the determined intervention.

9. In the determination device according to claim 7 or claim 8, The subject response score acquisition means acquires the subject response scores for each question in the second question group, which are implemented again after a predetermined period, The classification means classifies the subject into any one of the classes according to the subject response scores and the estimated response scores of the subject in the result of the re-implementation, The intervention determination means determines the intervention to be presented to the subject according to the class classified by the result of the re-implementation. A determination device characterized by this.

10. Subject response score acquisition means for acquiring subject response scores obtained by scoring each response of a subject to each question in a second question group having a number of questions less than the number of questions in a first question group including the questions in the first question group having a first number of questions; The first question group includes psychological questions regarding psychological characteristics, and based on the correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of others other than the subject to each question in the first question group, response score estimation means for estimating an estimated response score of the subject for each question in the first question group based on the subject response scores; Referring to the intervention-psychological questionnaire memory means that associates the intervention for supporting health with the psychological questionnaire, intervention determination means for determining the intervention to be presented to the subject according to the subject's response score and the estimated response score of the subject for the psychological questionnaire; A determination device characterized by comprising the above.

11. In the determination device according to claim 10, The determination device, wherein the psychological questionnaire is a questionnaire regarding service preferences.

12. In the determination device according to claim 10 or claim 11, The determination device, further comprising intervention output means for outputting the determined intervention.

13. In the determination device according to claim 10 or claim 11, The subject response score acquisition means acquires the subject response score for each question of the second question group that is implemented again after a predetermined period, The intervention determination means determines the intervention to be presented to the subject according to the subject response score and the estimated response score of the subject for the result of the re-implementation. The determination device is characterized by this.

14. A subject response score acquisition step of acquiring a subject response score obtained by scoring each response of the subject to each question of a second question group having a smaller number of questions than the first question group, the second question group including questions of a first question group having a first number of questions; A response score estimation step of estimating the estimated response score of the subject for each question of the first question group based on the subject response score according to the correlation data between the questions of the first question group calculated from the other response scores obtained by scoring each response of others other than the subject for each question of the first question group by the response score estimation means; A classification step of classifying the subject into any one of the classes obtained by clustering the others according to the subject response score and the other response score by the classification means according to the estimated response score of the subject; A classification method characterized by including the above.

15. In the classification method according to claim 14, In the subject response score acquisition step, the subject response score for each question of the second question group that is implemented again after a predetermined period is acquired, In the classification step, the subject is classified into any one of the classes according to the subject response score and the estimated response score of the subject for the result of the re-implementation. The classification method is characterized by this.

16. A subject response score acquisition step in which a subject response score acquisition means acquires a subject response score obtained by scoring each response of a subject to each question in a second question group having a number of questions less than the number of questions in a first question group including questions in the first question group having a first number of questions; A response score estimation step in which a response score estimation means estimates an estimated response score of the subject to each question in the first question group based on the subject response score according to correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of others other than the subject to each question in the first question group; A classification step in which a classification means classifies the subject according to the estimated response score of the subject into any one of classes obtained by clustering the others according to the subject response score and the other response score; An intervention determination step in which an intervention determination means refers to an intervention / class storage means associating an intervention for supporting health with the class, and determines the intervention to be presented to the subject according to the classified class; A determination method characterized by including the above.

17. In the determination method according to claim 16, In the subject response score acquisition step, the subject response score for each question in the second question group, which is performed again after a predetermined period, is acquired, In the classification step, the subject is classified into any one of the classes according to the subject response score and the estimated response score of the subject as a result of the re-execution, In the intervention determination step, the intervention to be presented to the subject is determined according to the class classified as a result of the re-execution. A determination method characterized by this.

18. A subject response score acquisition step in which a subject response score acquisition means acquires a subject response score obtained by scoring each response of a subject to each question in a second question group having a number of questions less than the number of questions in a first question group including questions in the first question group having a first number of questions; A response score estimation step in which a response score estimation means estimates an estimated response score of the subject to each question in the first question group based on the subject response score according to correlation data between questions in the first question group calculated from other response scores obtained by scoring each response of others other than the subject to each question in the first question group, wherein the first question group includes psychological questions regarding psychological characteristics; An intervention determination step in which the intervention determination means refers to an intervention / psychological questionnaire storage means associating an intervention for supporting health with the psychological questionnaire, and determines the intervention to be presented to the subject according to the subject response score and the estimated response score of the subject for the psychological questionnaire; A determination method characterized by including the above.

19. In the determination method according to claim 18, In the subject response score acquisition step, the subject response scores for each question of the second question group, which are implemented again after a predetermined period, are acquired, In the intervention determination step, the intervention to be presented to the subject is determined according to the subject response score and the estimated response score of the subject as a result of the re-implementation. A determination method characterized by this.

20. A computer, Subject response score acquisition means for acquiring subject response scores obtained by scoring each response of a subject to each question of a second question group having a smaller number of questions than the first question group, including questions of a first question group having a first number of questions; Response score estimation means for estimating the estimated response score of the subject for each question of the first question group based on the subject response score according to the correlation data between questions of the first question group calculated from the other response scores obtained by scoring each response of another person other than the subject for each question of the first question group; and A program for a classification device, which functions as classification means for classifying the subject according to the estimated response score of the subject into any one of the classes obtained by clustering the other person according to the subject response score and the other response score.

21. In the program for a classification device according to claim 20, The subject response score acquisition means acquires the subject response scores for each question of the second question group, which are implemented again after a predetermined period, The classification means classifies the subject into any one of the classes according to the subject response score and the estimated response score of the subject as a result of the re-implementation. A program for a classification device characterized by this.

22. A computer, Subject response score acquisition means for acquiring subject response scores obtained by scoring each response of a subject to each question of a second question group having a smaller number of questions than the first question group, including questions of a first question group having a first number of questions; Answer score estimation means for estimating the estimated answer scores of the subject for each question in the first question group according to the subject answer scores, based on the correlation data between the questions in the first question group calculated from the other answer scores obtained by scoring the answers of others other than the subject for each question in the first question group. Classification means for classifying the subject according to the estimated answer scores of the subject, into any one of the classes obtained by clustering the others according to the subject answer scores and the other answer scores. A program for a determination device, characterized in that it functions as intervention determination means for determining the intervention to be presented to the subject according to the classified class, by referring to intervention-class storage means associating an intervention for supporting health with the class.

23. In the determination device according to claim 22, The subject answer score acquisition means acquires the subject answer scores for each question in the second question group, which are implemented again after a predetermined period, The classification means classifies the subject into any one of the classes according to the subject answer scores and the estimated answer scores of the subject in the result of the re-implementation, A program for a determination device, characterized in that the intervention determination means determines the intervention to be presented to the subject according to the class classified by the result of the re-implementation.

24. Subject answer score acquisition means for acquiring subject answer scores obtained by scoring each answer of the subject for each question in a second question group having a smaller number of questions than the first question group, including the questions in the first question group having a first number of questions, The first question group includes psychological questions regarding psychological characteristics, and answer score estimation means for estimating the estimated answer scores of the subject for each question in the first question group according to the subject answer scores, based on the correlation data between the questions in the first question group calculated from the other answer scores obtained by scoring the answers of others other than the subject for each question in the first question group, and A program for a determination device, characterized in that it functions as intervention determination means for determining the intervention to be presented to the subject according to the subject answer scores and the estimated answer scores of the subject for the psychological questions, by referring to intervention-psychological question storage means associating an intervention for supporting health with the psychological questions.

25. In the program for a determination device according to claim 24, The subject response score acquisition means acquires the subject response scores for each question in the second question group that was implemented again after a predetermined period, A program for a determination device, characterized in that the intervention determination means determines the intervention to be presented to the subject according to the subject response score and the estimated response score of the subject in the result of the re-implementation.

26. In a classification system including a terminal device of a subject who answers questions and a classification device that classifies the subject based on the answer transmitted from the terminal device, The classification device, Subject response score acquisition means for acquiring subject response scores obtained by scoring each answer of the subject to each question in a second question group having a smaller number of questions than the first number of questions, including the questions in the first question group having the first number of questions, Answer score estimation means for estimating the estimated answer scores of the subject for each question in the first question group based on the subject response scores, according to the correlation data between the questions in the first question group calculated from the other person response scores obtained by scoring each answer of a person other than the subject to each question in the first question group, Classification means for classifying the subject according to the estimated answer score of the subject into any one of the classes obtained by clustering the other persons according to the subject response scores and the other person response scores, A classification system, characterized by comprising the above.

27. In the classification system according to claim 26, The subject response score acquisition means acquires the subject response scores for each question in the second question group that was implemented again after a predetermined period, A classification system, characterized in that the classification means classifies the subject into any one of the classes according to the subject response scores and the estimated answer scores of the subject in the result of the re-implementation.

28. In a determination system including a terminal device of a subject who answers questions to receive an intervention for supporting health and a determination device that determines the intervention to be presented to the subject based on the answer transmitted from the terminal device, The determination device, Subject response score acquisition means for acquiring subject response scores obtained by scoring each answer of a subject to each question in a second question group having a smaller number of questions than the first number of questions, including the questions in the first question group having the first number of questions, Answer point estimation means for estimating the estimated answer points of the subject for each question in the first question group according to the subject answer points, based on the correlation data between the questions in the first question group calculated from the other - person answer points obtained by scoring each answer of others other than the subject for each question in the first question group; Classification means for classifying the subject according to the estimated answer points of the subject into any one of the classes obtained by clustering the others according to the subject answer points and the other - person answer points; Intervention determination means for determining the intervention to be presented to the subject according to the classified class, with reference to the intervention - class storage means associating the intervention with the class; A determination system characterized by comprising the above.

29. In the determination system according to claim 28, The subject answer point acquisition means acquires the subject answer points for each question in the second question group, which are implemented again after a predetermined period; The classification means classifies the subject into any one of the classes according to the subject answer points and the estimated answer points of the subject in the result of the re - implementation; The intervention determination means determines the intervention to be presented to the subject according to the class classified by the result of the re - implementation. A determination system characterized by this.

30. In a determination system comprising a terminal device of a subject who answers questions to receive an intervention for supporting health, and a determination device for determining the intervention to be presented to the subject based on the answer transmitted from the terminal device, The determination device Subject answer point acquisition means for acquiring subject answer points obtained by scoring each answer of the subject for each question in a second question group having a smaller number of questions than the first question group, including questions in the first question group having a first number of questions; Answer point estimation means for estimating the estimated answer points of the subject for each question in the first question group according to the subject answer points, based on the correlation data between the questions in the first question group calculated from the other - person answer points obtained by scoring each answer of others other than the subject for each question in the first question group, wherein the first question group includes psychological questions regarding psychological characteristics; Intervention determination means for determining the intervention to be presented to the subject according to the subject answer points and the estimated answer points of the subject for the psychological questions, with reference to the intervention - psychological question storage means associating the intervention with the psychological questions; A determination system characterized by comprising the above.

31. In the determination system according to claim 30, the subject response score acquisition means acquires the subject response scores for each question in the second question group that are implemented again after a predetermined period, and the intervention determination means determines the intervention presented to the subject according to the subject response scores and the estimated response scores of the subject in the result of the re-implementation. A determination system characterized by this.

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