Advice Decision System

Abstract

Advice that can provide reliable advice to users A decision system is provided. The advice decision system 1 presents a plurality of advice candidates to the user. For each of the above, the priority to be presented to the user for each data item of the health checkup data The score of each data item is calculated for each advice candidate. The total score is calculated, and the advice candidate is prioritized based on the total score. and providing the user with advice based on the life log data for each of the plurality of advice candidates. Then, among multiple advice candidates, the system determines which has the highest priority. The advice candidates that are judged to be suitable for the user are used as the advice to be presented to the user. and decide.

Description

[Technical field]

[0001] The present invention relates to an advice decision system that automatically decides advice to present to a user. Regarding. [Background technology]

[0002] Conventionally, recommended information is selected based on the user's daily life activities. A system for selecting a target object has been proposed (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2017-40981 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, in conventional systems, when selecting information to present to a user, The user's health check data is not taken into consideration at all. When trying to select advice to present to users based on data, health check data The number of data items is so large that the advice given to users is often contradictory It is also possible.

[0005] For example, based on the data item "BMI" in the health checkup data, While the advice to "take a break" was selected, the data item "creatine" in the health checkup data was Based on this, the advice "Avoid eating too much protein" may be selected. In such cases, the user is left to decide which advice to follow. The problem is that people are unable to trust advice and are unable to understand it, leading to a lack of trust in advice (reduced credibility of advice). There is.

[0006] The present invention has been made in view of the above problems, and provides a method for providing reliable advice to users. The object of the present invention is to provide an advice decision system capable of presenting a suitable advice. [Means for solving the problem]

[0007] The advice decision system of the present invention is a health checkup data acquisition system for acquiring health checkup data of a user. a life log data acquisition unit for acquiring life log data of the user; For each of a plurality of advice candidates to be presented to the user, For each advice candidate, a priority score is calculated for the user. Calculate a total score by adding up the priority scores of all data items, and a priority order determining unit that determines a priority order of the advice candidates based on the plurality of For each of the advice candidates, a recommendation is presented to the user based on the life log data. a presentation possibility determination unit that determines whether or not the advice candidate should be presented; If the priority order determined by the priority determination unit is high and the presentation possibility determination unit has determined that the information should be presented to the user, determining the determined advice candidate as advice to be presented to the user; A determination unit.

[0008] This structure allows multiple advice candidates (e.g., "Reduce sugar intake" or "Reduce salt intake") to be displayed. For each of the items in the health checkup data (e.g., BMI, A priority score to be presented to the user is calculated for each of the following factors: The total score is calculated by adding up the priority scores of all data items for a single advice candidate. Based on the total score, the advice candidate is prioritized (e.g., priority Priority 1 is "Be careful not to eat too much sugar," Priority 2 is "Eat vegetables," Priority The next three will be "Reduce salt intake" and "Eat protein." For each of the multiple advice candidates, the user’s life log data (e.g., “Meal” "It's high in sugar" or "It's high in vegetables" (For example, the priority 1 "Be careful not to eat too much sugar" should be presented to the user. Priority 2 "Eat your vegetables" does not need to be presented to the user. Then, among the multiple advice candidates, the one with the highest priority and the most suitable for the user is selected. The advice candidates that are judged to be presented are determined as the advice to be presented to the user. This allows the system to provide a personalized service to a user based on the user's health checkup data and life log data. In this way, the user can easily find reliable access. Advice is presented.

[0009] In the advice determination system of the present invention, the questionnaire responses regarding the user's daily activities are a questionnaire response data acquisition unit for acquiring data, For each of the advice candidates, the priority is set for each data item of the questionnaire response data. The priority score is calculated for each advice candidate, and the priority scores for all data items are calculated for each advice candidate. A total score is calculated by adding up the scores of the advice candidates, and the advice candidates are ranked based on the total score. Priority may be determined.

[0010] With this configuration, multiple advice candidates (e.g., "Keep your calorie intake appropriate" "Let's do (high-intensity) sports," etc.) Based on the questionnaire response data (e.g., "My knees and hips hurt a lot when I exercise"), Whether or not to present to the user (for example, "Keep your calories in check" should be presented to the user) "Let's do (high-intensity) sports" should be presented to the user. This allows the system to determine whether the user's survey response data is sufficient to Necessary advice for the user is presented.

[0011] In the advice decision system of the present invention, the attendance data of the user is acquired. an acquisition unit, the priority order determination unit performing the above-mentioned for each of the plurality of advice candidates, The priority score is calculated for each data item of the attendance data, and one advice candidate is Calculate a total score by adding up the priority scores of all data items, and The priority order of the advice candidates may be determined based on the above.

[0012] With this configuration, multiple advice candidates (e.g., "Go to bed early" or "Steps per minute") are displayed. For each of these, the user's attendance data (e.g., "Overtime hours", " Based on the user's schedule, such as "remaining paid vacation days," "start time of work," "end time of work," and "overtime hours worked at night," (For example, "Go to bed early" should be presented to the user. For example, "Let's take more steps" is not necessary to present to the user. This allows the system to provide the necessary advice to users, taking into account their attendance data. is presented.

[0013] In the advice decision system of the present invention, a mentor acquires mental data of the user. a data acquisition unit, the priority order determination unit determining a priority order for each of the plurality of advice candidates, Then, a score of the priority is calculated for each data item of the mental data, and one piece of advice is provided. For each candidate, calculate a total score by adding up the priority scores of all data items. Based on the total score, the advice candidates may be prioritized.

[0014] This configuration allows multiple advice candidates (e.g., "Take a rest" or "Low calories") to be For each of these statements, the user’s mental data (e.g., “Let’s limit our activities”) is "Response judgment (high / medium / low)", "Do you easily feel depressed (yes / no)", "When you have a lot of work (Agree / Somewhat agree / Disagree)" "Do you feel that you have a good working environment? Whether or not to present it to the user (e.g., "How do you feel about it (yes / no)?") "Take a rest" should be presented to the user, "Limit your calories" This determines whether the user's mental health is improved. Taking into account the statistical data, necessary advice is presented to the user.

[0015] In the advice decision system of the present invention, the advice candidates are based on the user's birth date. When the notification is related to a caution action to be avoided in a daily life, the notification possibility determination unit Based on the life log data, the advice candidate is provided for the user's daily life behavior. When it is determined that the indicated caution behavior has not been avoided, the advice candidate is provided to the user. The system may decide that the request should be presented to the user.

[0016] According to this configuration, the advice candidates are related to caution behaviors that should be avoided in the user's daily activities. If the message is related to the user's If the attention behavior is judged not to be avoided based on the life log data of the user, the advice is The candidate devices are then determined as advice to be presented to the user. It gives advice that you should pay close attention to.

[0017] In the advice decision system of the present invention, the advice candidates are based on the user's birth date. In the case where the information is related to a recommended action to be performed in the living behavior, the presentation possibility determination unit Based on the life log data, the advice candidate is provided for the user's daily life behavior. When it is determined that the recommended action indicated by the advice candidate is being performed, the advice candidate is provided to the user. The user may decide that the request should be presented to the

[0018] According to this configuration, the advice candidates are related to recommended actions to be performed in the user's daily activities. Related to the behavior (e.g., "It's good to eat vegetables. Let's keep it up.") For example, if the recommended action is executed, the user's life log data is used to determine whether the action is executed. If the advice candidate is rejected, the advice candidate is determined as the advice to be presented to the user. This allows useful advice to be presented to the user.

[0019] In the advice decision system of the present invention, the priority order decision unit decides whether to prioritize the advice. A candidate device is determined not to be presented to the user based on the medical examination data. If the advice candidate is given the lowest priority, or A taboo process may be performed that does not prioritize chair candidates.

[0020] According to this configuration, a certain advice candidate is provided to the user based on the health checkup data. If it is determined that the advice candidate should not be presented, the advice candidate is taboo (priority The advice candidate is then assigned the lowest rank or no priority is assigned. This allows users to avoid advice that should not be presented to them ( For example, to prevent a user with kidney disease from being presented with a message such as "Eat your vegetables" can be avoided. Effect of the Invention

[0021] According to the present invention, highly reliable advice can be presented to the user. [Brief description of the drawings]

[0022] [Figure 1] 1 is a block diagram showing a configuration of an advice determination system according to an embodiment of the present invention. [Diagram 2] FIG. 11 is a diagram showing an example of determining a priority order in the present embodiment. [Diagram 3] FIG. 4 is a diagram showing an example of life log data in the present embodiment. [Figure 4] FIG. 4 is a flow diagram illustrating the operation of the advice determination system in the present embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0023] Hereinafter, an advice decision system according to an embodiment of the present invention will be described with reference to the drawings. In this embodiment, the present invention relates to an advice decision system used in a health advice system, etc. Let us give an example case.

[0024] The configuration of an advice decision system according to an embodiment of the present invention will be described with reference to the drawings. Reference numeral 1 denotes a block diagram showing the configuration of an advice decision system according to the present embodiment. In this way, the advice determination system 1 is connected to a user terminal 3, a health checkup It is connected to a medical data server 4, a work attendance data server 5, and a mental data server 6.

[0025] The user terminal 3 is a terminal device operated by a user, and is, for example, a smartphone. The user terminal 3 has a function of recording the user's life log data. The user terminal 3 also has a function of recording questionnaire response data regarding the user's daily activities. It is equipped with:

[0026] The health checkup server is a server device operated by a health checkup business operator, etc., and provides users with The health checkup data is recorded on the attendance server, which is operated by an attendance management company. The mental data server 6 is a server device that stores user attendance data. is a server device operated by a mental health care provider, etc., and The data is recorded.

[0027] As shown in FIG. 1, the advice determination system 1 includes a health check data acquisition unit 10, a life Log data acquisition unit 11, questionnaire response acquisition unit 12, attendance data acquisition unit 13, mental data A data acquisition unit 14, a priority order determination unit 15, a presentation possibility determination unit 16, an advice determination unit 17, It is equipped with a device transmission unit 18 and a storage unit 19.

[0028] The medical examination data acquisition unit 10 acquires the medical examination data of the user from the medical examination data server 4. The health checkup data includes, for example, "BMI," "waist circumference," and "blood sugar level." (See FIG. 2.) In addition, if the user terminal 3 has a function for recording medical examination data, If the user terminal 3 is connected to the health checkup data acquisition unit 10, the health checkup data acquisition unit 10 acquires the user's health checkup data from the user terminal 3. The data may be obtained.

[0029] The life log data acquisition unit 11 acquires the user's life log data from the user terminal 3. Life log data includes, for example, "meals," "steps," "sleep," and "exercise." This includes log data such as "body" (see Figure 3).

[0030] The questionnaire response data acquisition unit acquires questionnaires about the user's daily activities from the user terminal 3. The survey response data includes, for example, "I exercise." "When I do this, my knees and hips hurt a lot."

[0031] The attendance data acquisition unit 13 has a function of acquiring the attendance data of the user from the attendance data server 5. The attendance data includes, for example, "overtime hours." When the user's work attendance data acquisition unit 13 has a function for recording work attendance data, the user's work attendance data acquisition unit 13 The user's attendance data may be acquired from the terminal 3.

[0032] The mental data acquisition unit 14 acquires the user's mental data from the mental data server 6. The mental data includes, for example, "stress assessment (high / medium / low)" In addition, if the user terminal 3 has a function for recording mental data, In this case, the mental data acquisition unit 14 acquires the user's mental data from the user terminal 3. You may do so.

[0033] The storage unit 19 stores a plurality of advice candidates to be presented to the user. The candidate tasks suggest various tasks to the user, for example, "Reduce sugar intake." "Reduce salt intake," "Maintain an appropriate calorie intake," "(High-intensity exercise) ) Play sports. Go to bed early. Increase your steps. Get plenty of rest. "Let's eat less," "Let's limit our calories," "Let's eat vegetables," "Let's take in protein," "Let's do it." and others.

[0034] In this case, possible advice would be, for example, "Be careful not to eat too much sugar." This includes cautionary behaviors that should be avoided in the user's daily activities. For example, the chair candidates were told, "It's good to eat vegetables. Let's keep it up." These include recommended actions that the user should take in their daily life, such as:

[0035] In addition, the memory unit 19 stores life log data acquired from the user terminal 3, questionnaire results, and Response data etc. are also recorded.

[0036] The priority order determination unit 15 determines the priority order for each of the plurality of advice candidates stored in the storage unit 19. For each data item in the health checkup data, a priority score is presented to the user. For example, in the example in Figure 2, for the advice candidate "Task A", The priority score for the data "BMI" is "0", the priority score for waist circumference is "+10", The priority score for "Blood Glucose Level" is required to be "0".

[0037] Here, the priority score of the health checkup data can be calculated based on a predetermined criterion. For example, the score for the priority of "BMI" is: if the "BMI" value is less than 23, then the priority is If the BMI is between 23 and 25, the priority score is If the BMI is 25 or greater, the priority score is +10. The same can be said for "waist circumference" and "blood glucose level." The amount can be determined based on certain criteria.

[0038] In addition, the priority order determination unit 15 determines the priority order of each of the plurality of advice candidates stored in the storage unit 19. For each item in the questionnaire response data, a priority score is calculated. For example, In the example of Figure 2, for the advice candidate "Task A", the questionnaire response data The priority score of "Survey A" is "+3", and the priority score of "Survey B" is "0" It is required that:

[0039] Here, the priority score of the questionnaire response data is calculated based on a predetermined criterion. For example, the priority score of survey response data can be calculated based on the survey content and the task If there is a relationship between the content of the article and the article, the value is "+3", and if there is no relationship, the value is "0". It can be calculated based on criteria such as:

[0040] Furthermore, the priority order determination unit 15 determines the priority order of the plurality of advice candidates recorded in the storage unit 19. For each of these, we calculate the priority score for each data item in the attendance data. For example, in Figure 2 In this example, for the advice candidate "Task C", the priority of "overtime hours" in the attendance data The required degree score is +3.

[0041] Here, the priority score of the attendance data can be obtained based on a predetermined criterion. For example, the priority score for "Overtime" is: Priority is given if the value of "Overtime" is less than 5 hours per week. If the time spent is more than 5 hours per week, the priority score is +3. It can be calculated based on criteria such as:

[0042] In addition, the priority order determination unit 15 determines the priority order of each of the plurality of advice candidates stored in the storage unit 19. For each item of mental data, a priority score is calculated. For example, Figure 2 In the example, for the advice candidate "Task D", the "stress judgment" of the mental data is The priority score for "Definition" is required to be "+5".

[0043] Here, the priority score of the mental data can be calculated based on a predetermined criterion. For example, the priority score for "Stress Assessment" is "Low" if the result of "Stress Assessment" is "Low". If it is, the priority score is "0", if it is "medium", the priority score is "+3". If it is "high", the priority score is "+5". can.

[0044] Furthermore, the priority order determination unit 15 determines whether a certain advice candidate is appropriate for a user based on the health checkup data. If it is determined that the advice should not be presented to the user, the priority of the advice candidate is Put it at the bottom, or perform taboo processing to not prioritize the advice candidate. Example For example, the advice "eat vegetables" should not be presented to a user with kidney disease. It shouldn't be.

[0045] Here, the taboo processing can be performed in various ways. For example, in the example of FIG. By multiplying the total score by a "coefficient", the advice candidate is given the lowest priority. Specifically, the coefficient of advice candidates that are subject to taboo processing is set to "0". This gives the advice candidate the lowest priority. For example, the "coefficient" may be a negative value. There is no priority given to supplementary materials.

[0046] Then, the priority order determination unit 15 determines the priority order of all data items for one advice candidate. The priority scores are summed to calculate a total score, and advice is given based on the total score. Determine the priority of candidates.

[0047] For example, in the example in Figure 2, the total score of Task A is "+13" and the total score of Task B is "+13". The core is +18, the total score of Task C is +11, and the total score of Task D is +17. The core is "0". In this case, the priority of task A is "2", the priority of task B is " The priority of Task A is determined to be "1", the priority of Task B is determined to be "3", and the priority of Task D is determined to be "- (no priority)". can be.

[0048] The presentation possibility determination unit 16 determines whether or not the advice candidate is presented. The system has a function to determine whether or not to present the information to the user based on life log data. There are.

[0049] For example, the advice candidates may be related to actions that should be avoided in the user's daily activities. (For example, "Be careful not to eat too much sugar"), the display decision section 16 is a service that calculates the user's daily carbohydrate intake based on life log data (carbohydrate intake: 350g or more per day). The caution behavior presented in the advice candidate is not avoided in daily life behavior (sugar If it is determined that the number of advice candidates is large, it is determined that the advice candidate should be presented to the user.

[0050] In addition, the advice candidates are related to recommended actions to be taken in the user's daily activities. (For example, "It's good to eat vegetables. Let's keep it up.") In this case, the presentation possibility determination unit 16 uses the life log data (daily vegetable intake: 350 g or more) ) based on which the recommended actions presented in the advice candidates are implemented in the user's daily activities. If it is determined that the person is taking in enough vegetables, the advice candidate is presented to the user. The court decides that the information should be presented to the user.

[0051] The advice determination unit 17 selects, from among a plurality of advice candidates stored in the storage unit 19, The priority order determined by the priority order determination unit 15 is high and the presentation possibility determination unit 16 is not to present the The advice candidate that is judged to be necessary is determined as the advice to be presented to the user. Therefore, even if the advice candidate has a high priority as determined by the priority determination unit 15, However, the advice candidate that is determined not to be presented to the user by the presentation possibility determination unit 16 is It is never presented to the user.

[0052] The advice sending unit 18 sends the advice to be presented to the user by the advice determination unit 17. The advice determining unit 100 has a function of transmitting the determined advice to the user terminal 3.

[0053] Regarding the advice decision system 1 configured as above, referring to the flow chart of FIG. The operation will be explained below.

[0054] As shown in FIG. 4, the advice determination system 1 of this embodiment first receives health checkup data. The user's health checkup data is acquired from the data server 4 (S1), and the user's log is input from the user terminal 3. Life log data is acquired (S2). Note that the life log data acquired in advance from the user terminal 3 is The data can be acquired from the storage unit 19. In addition, the advice determination system 1 The questionnaire response data on the user's daily activities is acquired from the user terminal 3 (S3), and the attendance The attendance data of the user is acquired from the data server 5 (S4). The system 1 acquires the user's mental data from the mental data server 6 (S5).

[0055] Next, the advice decision system 1 determines each of the plurality of advice candidates as shown in FIG. For each advice candidate, a priority score is calculated based on the priority of the advice to be presented to the user. The priority scores of all data items are added together to calculate a total score, which is then added to the total score. Based on the result, the priority of the advice candidates is determined (S6). For each candidate, it is determined whether it should be presented to the user based on the life log data. (S7).

[0056] The advice decision system 1 then determines the priority order of the multiple advice candidates. The priority order determined by the display / non-display determination unit 16 is high and the display / non-display determination unit 17 determines that the display should be presented to the user. The advice candidates thus obtained are determined as advice to be presented to the user (S8), and the user terminal Send to 3 (S9).

[0057] According to the advice decision system 1 of this embodiment, a plurality of advice candidates (For example, "Reduce sugar intake" or "Reduce salt intake") Present each health diagnostic data item (e.g., BMI, waist circumference, blood glucose level, etc.) to the user Then, for one advice candidate, all the data is The priority scores of the items are summed to calculate a total score, and the item is ranked based on the total score. Priority of potential advice (for example, priority 1 is "Be careful not to eat too much sugar" Priority 2 is "Eat vegetables," and priority 3 is "Reduce salt intake" and "Eat protein." The decision was made to "take the time to improve the quality of the project."

[0058] In addition, for each of the multiple advice candidates, the user's life log data (e.g., "I eat a lot of carbohydrates (I consume more than 350g of carbohydrates per day)" "I eat a lot of vegetables (I consume more than 350g of carbohydrates per day)" Based on the information, the user can decide whether to present the information to the user (e.g., "Vegetable intake: 350g or more"). Priority 1, "Be careful not to eat too much sugar," needs to be presented to the user. , and "Eat your vegetables" with priority 2 does not need to be presented to the user. can be.

[0059] Then, among the multiple advice candidates, it is determined that the advice candidate with the highest priority should be presented to the user. The advice candidates thus obtained are then determined as the advice to be presented to the user. Considering the user's health check data and life log data, In this way, reliable advice is presented to the user. can be.

[0060] In addition, in this embodiment, multiple advice candidates (for example, "Keep your calorie intake appropriate" For each of the items (e.g., "Let's do sports with high intensity"), Based on survey response data (e.g., "My knees and hips hurt a lot when I exercise") Whether or not to present the message to the user (for example, "Keep your calories in check" is not recommended to the user) "Let's do (high-intensity) sports" is a message that needs to be presented to the user. This allows the system to determine whether the user's questionnaire response data is necessary. Then, the necessary advice for that user is presented.

[0061] In addition, in this embodiment, multiple advice candidates (for example, "Go to bed early" For each of the tasks (e.g., "Try to increase your steps"), the user's attendance data (e.g., "Working overtime" Whether or not to present it to the user (for example, "Go to bed early" is "Let's take more steps" needs to be presented to the user. This allows the system to determine whether a user is eligible to work, taking into account their attendance data. Necessary advice is provided.

[0062] In addition, in this embodiment, multiple advice candidates (for example, "Take a rest" For each of these, the user's mental data (e.g., Based on the user's "stress assessment," the system determines whether to present the message to the user (for example, "Take a rest"). "Let's limit your calories" should be presented to the user, and "Let's limit your calories" should be presented to the user. This allows the system to determine whether the user's mental data is needed. Taking into consideration the user's needs, necessary advice is presented.

[0063] In the present embodiment, the advice candidates are warnings that the user should avoid in his / her daily activities. If it is behavioral (for example, "Be careful not to eat too much sugar"), Based on the user's life log data (carbohydrate intake per day: 350g or more), their attention behavior is If it is determined that the food is not avoided (high in sugar), the advice candidate is presented to the user. This determines which advice the user should be careful about. A chair is presented.

[0064] In the present embodiment, the advice candidates are recommendations to be performed in the user's daily activities. Behavioral (e.g., "It's good to eat vegetables. Please keep doing it.") If the user's life log data (daily vegetable intake: 350g or more) is ) and it is judged that the recommended behavior is being followed (vegetables are being consumed adequately), The advice candidate is decided as the advice to be presented to the user. Useful advice for users is presented.

[0065] In this embodiment, a certain advice candidate is provided to the user based on the health checkup data. If it is determined that the advice candidate should not be presented to the user, the advice candidate is taboo-handled. (The priority is lowered or not prioritized) and the advertisement is This prevents users from seeing advice that should not be presented to them. For example, a user with kidney disease is presented with a message like "Eat your vegetables." This can be avoided.

[0066] Although the embodiments of the present invention have been described above by way of example, the scope of the present invention is not limited to these. The present invention is not intended to be limited to the scope of the present invention, and may be modified or altered according to the purpose within the scope of the claims. It is possible. [Industrial Applicability]

[0067] As described above, the advice decision system according to the present invention is highly reliable for users. This has the effect of being able to provide useful advice, and is suitable for health advice systems, etc. It is widely used and useful. [Explanation of symbols]

[0068] 1 Advice decision system 2 Network 3. User terminal 4. Health checkup data server 5. Attendance data server 6. Mental Data Server 10. Health Check Data Acquisition Department 11 Life log data acquisition section 12. Survey Response Collection Department 13. Attendance Data Acquisition Department 14 Mental Data Acquisition Department 15 Priority Determination Section 16 Presentability determination unit 17 Advice Decision Section 18 Advice sending section 19 Memory section

Claims

1. an examination data acquisition unit that acquires examination data of a user; A data acquisition unit that acquires data of the user; a priority order determination unit that obtains a priority score to be presented to the user for each data item of the test data for each of a plurality of advice candidates to be presented to the user, calculates a total score by adding up the priority scores of all data items for one advice candidate, and determines a priority order for the advice candidate based on the total score; a presentation possibility determination unit that determines whether each of the plurality of advice candidates should be presented to the user based on data of the user; an advice determination unit that determines, among the plurality of advice candidates, an advice candidate that has a high priority as determined by the priority determination unit and that is determined by the presentation advisability determination unit to be presented to the user, as advice to be presented to the user; An advice decision system comprising:

2. a questionnaire response data acquisition unit for acquiring questionnaire response data regarding the user's daily life behavior, 2. The advice decision system according to claim 1, wherein the priority determination unit determines the priority score for each data item of the questionnaire response data for each of the plurality of advice candidates, calculates a total score by adding up the priority scores of all data items for one advice candidate, and determines the priority of the advice candidate based on the total score.

3. An attendance data acquisition unit for acquiring attendance data of the user, 3. The advice decision system according to claim 1, wherein the priority determination unit obtains the priority score for each data item of the attendance data for each of the plurality of advice candidates, calculates a total score by adding up the priority scores of all data items for one advice candidate, and determines the priority of the advice candidate based on the total score.

4. A mental data acquisition unit for acquiring mental data of the user, The advice decision system according to any one of claims 1 to 3, wherein the priority determination unit determines the priority score for each data item of the mental data for each of the plurality of advice candidates, calculates a total score by adding up the priority scores of all data items for one advice candidate, and determines the priority of the advice candidate based on the total score.

5. The priority order determination unit An advice decision system as described in any one of claims 1 to 4, wherein, when it is determined that one of the advice candidates should not be presented to the user based on the test data, the advice candidate is given the lowest priority, or a taboo processing is performed in which the advice candidate is not given a priority.

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