WO2021199520A1 - Health behavior proposal device and health behavior proposal method - Google Patents

Health behavior proposal device and health behavior proposal method Download PDF

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Publication number
WO2021199520A1
WO2021199520A1 PCT/JP2020/047345 JP2020047345W WO2021199520A1 WO 2021199520 A1 WO2021199520 A1 WO 2021199520A1 JP 2020047345 W JP2020047345 W JP 2020047345W WO 2021199520 A1 WO2021199520 A1 WO 2021199520A1
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WIPO (PCT)
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health
behavior
health behavior
user
hobby
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PCT/JP2020/047345
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French (fr)
Japanese (ja)
Inventor
博典 田中
宮崎 徹
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Necソリューションイノベータ株式会社
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Priority to JP2022511527A priority Critical patent/JP7420447B2/en
Publication of WO2021199520A1 publication Critical patent/WO2021199520A1/en

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance

Definitions

  • the present invention relates to a health behavior proposal device and a health behavior proposal method that encourage users to transform into health behavior.
  • Lifestyle improvement is required to prevent lifestyle-related diseases. There is a theory of healthy behavior as a way of thinking that shows what factors increase the possibility that a person behaves in a healthy manner. Health behaviors that correspond to the implementation of life improvement measures are behavioral patterns associated with maintaining, recovering and improving health.
  • Non-Patent Document 1 In general, people tend to think about things as an alternative. Proposals like the one above will lead people to an alternative way of thinking. That is, a high threshold is set for the person who receives the proposal when starting the healthy behavior, and it is difficult for the person who receives the proposal to start the healthy behavior (see, for example, Non-Patent Document 1).
  • Patent Document 1 the actual data of lifestyle-related habits for each individual and the test values of preset test items are used as training data to learn a model showing the relationship between lifestyle-related habits and test values.
  • the device is described.
  • the health condition predictor described in Patent Document 1 predicts the future test value of the user by using the actual data and the model of the lifestyle of the user. Then, the health condition predictor presents the future test value to the user. Further, Patent Document 1 describes that the health condition predictor presents advice on health behavior to the user.
  • Non-Patent Document 1 presents advice on health behavior to the user, but the advice is not related to the user's future test values. Therefore, when the health condition prediction device described in Patent Document 1 is used, it is unclear whether or not the advice can lead the user to health behavior.
  • An object of the present invention is to provide a health behavior proposal device and a health behavior proposal method that increase the possibility that a subject will be guided by a health behavior.
  • the health behavior proposing device is a health behavior storage means for storing data that can identify each of a plurality of health behaviors, and for improving a health condition corresponding to any of a plurality of requirements that characterize a user regarding health. It includes an extraction means for extracting the contributing health behavior from the health behavior memory means and a presentation means for presenting the health behavior extracted by the extraction means to the user.
  • the health behavior proposal method stores data that can identify each of the plurality of health behaviors that contribute to the improvement of the health condition corresponding to any of the plurality of requirements that characterize the user regarding health. It is extracted from the health behavior memory means and the extracted health behavior is presented to the user.
  • the health behavior proposal program provides a computer with data that can identify each of the plurality of health behaviors that contribute to the improvement of the health condition corresponding to any of the plurality of requirements that characterize the user regarding health.
  • the process of extracting from the health behavior memory means for memorizing the above and the process of presenting the extracted health behavior to the user are executed.
  • FIG. 1 is a block diagram showing an example of the configuration of the health behavior proposal device of the first embodiment.
  • the health behavior proposal device 10 shown in FIG. 1 includes a health behavior holding unit 100, a requirement input unit 101, a comparison unit 103, a health behavior selection unit 104, and a health behavior presentation unit 105.
  • the health behavior holding unit 100 data that can identify a plurality of health behaviors is stored in advance together with attached information (attached data) such as attributes (specifically, data indicating the attributes). That is, the health behavior holding unit 100 stores data that can identify a plurality of health behaviors and attached data.
  • attached data such as attributes (specifically, data indicating the attributes).
  • the requirement input unit 101 inputs requirements (specifically, data indicating the requirements) related to the health behavior of the user 20 from the user 20.
  • requirements include user attributes such as “gender”, “single / married”, “presence or absence of children” and “place of residence” that characterize the user, as well as “current hobbies” and “past hobbies”.
  • user status such as “how to spend the weekend” and “current location”, and issues such as “health issues” and "wishing for free health behavior / wishing for paid health behavior”
  • the requirement is information that characterizes the user regarding health.
  • each requirement may be referred to as an item.
  • the requirement input unit 101 uses a communication line. Includes a receiving function to receive data from the terminal device. Further, when the input of the requirement is realized by GUI (Graphical User Interface), the requirement input unit 101 includes a transmission function of transmitting the display data of the input screen to the terminal device.
  • a personal computer, a smartphone, a tablet terminal, or the like can be used as the terminal device.
  • the comparison unit 103 reads the attributes attached to the health behavior from the health behavior holding unit 100, and compares the requirements input by the requirement input unit 101 with the read attributes.
  • the health behavior selection unit 104 selects a health behavior recommended to the user based on the comparison result of the comparison unit 103.
  • the health behavior presentation unit 105 presents to the user data that can identify the health behavior selected by the health behavior selection unit 104 together with attached information.
  • the health behavior presentation unit 105 transmits the data to the terminal device. Includes transmission function.
  • the transmission function of the health behavior presentation unit 105 may also be used as the transmission function of the requirement input unit 101 described above.
  • FIG. 2 is an explanatory diagram showing an example of data and attached information that can identify the health behavior stored in the health behavior holding unit 100.
  • FIG. 2 exemplifies the behavior itself and the facility where the behavior can be executed as a health behavior.
  • Actions include, for example, cycling and outdoor activities.
  • a facility for example, there is an ABC gym.
  • facilities capable of performing actions are also included in health actions.
  • Health behaviors are not limited to behaviors and facilities as illustrated in FIG.
  • the health behavior holding unit 100 stores data that can identify a plurality of health behaviors (in the example shown in FIG. 2, the name of the health behavior) together with the item number. Further, the health behavior holding unit 100 stores attached information corresponding to each health behavior.
  • the attached information includes attribute, comment, and location information. Attributes include categories, incidental information, and improvement effects.
  • the example shown in FIG. 2 is an example, and the attributes are not limited to them.
  • the ancillary information further includes comments and locations.
  • the comment is, for example, a testimonial (catch phrase) by an experienced person who has practiced healthy behavior.
  • the location indicates where health behavior is provided. In addition, some health behaviors do not come with location information.
  • each attribute particularly, incidental information and improvement effect
  • the method of classifying the attached information is an example, and other classification methods can be adopted.
  • the improvement effect and comments in the attached information are created based on the results of the questionnaire collected from those who have practiced healthy behavior. For example, when the percentage of those who answered "gained” with respect to "weight” exceeds a predetermined value, the data of "Yes” is set for "weight gain”. Data is set for other items in the same way.
  • the improvement effect may be set to the content certified for health behavior by a predetermined authoritative institution.
  • the accompanying information in the attached information can also be created based on the results of the questionnaire collected from those who have practiced health behavior, but the manager of the health behavior proposal device or the builder of the health behavior proposal device has general knowledge. The content of the accompanying information may be set based on the above. The fact that the administrator or the builder may set the content of the accompanying information based on common sense also applies to the improvement effect.
  • the comparison unit 103 compares the requirements input by the requirement input unit 101 with the attributes read from the health behavior maintenance unit 100, and scores the comparison result.
  • FIG. 3 is an explanatory diagram showing an example of scoring.
  • the healthy behavior is cycling.
  • the items of cycling attributes are illustrated.
  • the right side of FIG. 3 items of requirements related to health behavior are illustrated.
  • the comparison unit 103 compares each of the requirement items with each of the cycling attribute items.
  • the requirement item and the cycling attribute item are represented by, for example, text data
  • the comparison unit 103 indicates each of the requirement items marked with “Yes” and the cycling attribute marked with “Yes”.
  • “weight” is extracted as a keyword.
  • the comparison unit 103 increases the cycling score by, for example, +1 when there is an item of the cycling attribute from which the keyword matching the keyword extracted from the requirement item is extracted.
  • the comparison unit 103 sets the score at that time as the score of the final health behavior (cycling in this example). And.
  • the health behavior score indicates the degree of relevance to the health status of the user 20. The higher the score, that is, the higher the score value, the higher the relevance.
  • the comparison unit 103 matches “money” and "cost”. It can be determined that it is a keyword.
  • the comparison unit 103 performs a keyword-based comparison as an example.
  • a code is assigned in advance to the item of the attribute that can be input of the health behavior.
  • 001 is assigned to "weight improvement”.
  • the code as an item of the attribute of the health behavior is stored in the health behavior holding unit 100.
  • the comparison unit 103 reads the code of the item of the attribute of the health behavior and compares the code of the item of the requirement with the code of the item of the attribute of the health behavior.
  • the user 20 transmits requirements related to health behavior from his / her own terminal device to the health behavior proposal device 10, and presents health behavior from the health behavior proposal device 10 via a terminal device having at least a display unit and an input unit. Take the case of receiving as an example.
  • the requirement input unit 101 inputs the requirements related to the health behavior of the user 20 from the user 20 (step S401). When inputting requirements related to health behavior via GUI, the requirement input unit 101 transmits, for example, display data for displaying a screen for input (input screen) to the terminal device of the user 20. do.
  • the terminal device of the user 20 displays an input screen as illustrated in FIG.
  • the screen displays each item of health behavior-related requirements and an input field or radio button corresponding to the item.
  • the user 20 inputs data about the user himself / herself in the input field, or selects the corresponding radio button.
  • the input field is preferably configured in a pull-down menu format.
  • the data input in the input field and the selection result by the radio button are transmitted to the health behavior proposal device 10.
  • the requirement input unit 101 inputs the requirement by receiving the data input to the terminal device and the selection result in the process of step S401.
  • the method of inputting the requirements via the GUI is an example, and another method, for example, a text or text or voice on the terminal device in response to an image or voice question from the user via the terminal device from the health behavior proposal device 10. You can also use a method such as entering the answer by voice.
  • the comparison unit 103 reads out the attributes attached to the health behavior from the health behavior holding unit 100 (step S402). Then, the comparison unit 103 compares the requirement obtained through the requirement input unit 101 with the read attribute, and calculates a health behavior score (step S403).
  • the method of comparison is as already explained. In addition, the method of calculating the score of health behavior is as already explained as the scoring of the comparison result.
  • step S405 step S404. If not, the process returns to step S402. Then, in step S402, the processes of steps S402 and S403 are executed for the next health behavior stored in the health behavior holding unit 100.
  • step S405 the health behavior selection unit 104 selects one or a plurality of health behaviors in descending order of score among all the health behaviors.
  • the health behavior presentation unit 105 reads out the attached information (for example, comment) of the health behavior selected by the health behavior selection unit 104 from the health behavior holding unit 100.
  • the health behavior presentation unit 105 presents data that can identify the health behavior to the user together with the attached information (step S406).
  • the health behavior presentation unit 105 transmits data that can identify the health behavior to the terminal device of the user 20 together with the attached information.
  • data that can identify health behavior is displayed on the screen together with attached information.
  • the screen displayed on the terminal device is referred to as a presentation screen.
  • FIG. 6 is an explanatory diagram showing an example of a presentation screen displayed on the terminal device of the user 20.
  • icons corresponding to each of the three health behaviors are displayed. That is, in this example, the health behavior selection unit 104 selects three health behaviors in descending order of score. Further, in the example shown in FIG. 6, a comment, that is, a recommendation sentence is displayed together with an icon corresponding to the health behavior.
  • the comparison unit 103 calculates the score for all the health behaviors stored in the health behavior holding unit 100, but the comparison unit 103 may calculate the score for some health behaviors. .. As an example, when the comparison unit 103 includes gender in the item of the requirement related to the health behavior of the user 20, the comparison unit 103 calculates the score for the health behavior including the corresponding gender as an attribute.
  • the health behavior suggestion device 10 may reflect the location information of the attached information of the health behavior in the calculation of the score. For example, it is assumed that the health behavior suggestion device 10 can obtain the position information of the terminal device, or that the information about the location (for example, the data of the place of residence illustrated in FIG. 5) is input to the terminal device. In that case, when the comparison unit 103 calculates the score, the content (that is, the position) of the place in the health behavior accompanied by the attached information of the "place" is the information from the terminal device (the position information or the information about the place). Check if it matches the indicated position or if the information from the terminal device is close to the indicated position. If both locations match or are in close proximity, the comparison unit 103 increases the health behavior score.
  • the health behavior proposal device 10 transmits GUI display data or the like to the terminal device of the user 20, but the terminal device has GUI framework data, presentation screen framework data, or the like. You may do it.
  • the health behavior proposal device 10 includes data of the GUI framework (GUI in the state where no data is input) and data in the framework of the presentation screen (presentation screen in which the text or icon is not displayed), and is downloaded by the terminal device.
  • Provide a possible application program (health behavior proposal application program).
  • the terminal device downloads the application program in advance.
  • the application program functions so that the input screen as illustrated in FIG. 5 is displayed on the display unit of the terminal device.
  • the application program displays the data and radio input in the input field.
  • the selection result by the button is transmitted to the health behavior proposal device 10.
  • the health behavior proposal device 10 executes the above-mentioned process.
  • the health behavior proposal device 10 can easily position the terminal device via the application program. Information is available.
  • the health behavior proposal device 10 presents to the user 20 a health behavior that matches the attributes of the user 20, the issues recognized by the user 20, and the like. It is possible to increase the possibility that the person 20 will be guided by the presented health behavior.
  • a comment as a recommendation sentence by an experienced person who has practiced a healthy behavior is also presented to the user 20, so that the possibility that the user 20 is guided by the presented healthy behavior is further increased.
  • Embodiment 2 the hobby is focused on as a healthy behavior.
  • the value (measured value, that is, actually measured value) of each test item in a health-related test such as a health check is used.
  • the inspection items of health-related inspections such as health examinations are simply referred to as inspection items.
  • FIG. 7 is a block diagram showing an example of the configuration of the health behavior proposal device of the second embodiment.
  • the health behavior proposal device 11 shown in FIG. 7 includes a hobby holding unit 110, an actually measured value input unit 111, a predicted value calculation unit 112, a comparison unit 113, a hobby selection unit 114, and a hobby presentation unit 115.
  • the health behavior proposal device 11 further includes a test value holding unit 121 and a hobby-related degree holding unit 122.
  • the hobby holding unit 110 data that can identify each of a plurality of hobbies is stored in advance corresponding to a person having that hobby. That is, the hobby holding unit 110 stores data that can identify a plurality of hobbies corresponding to a person having the hobby.
  • Hobbies are preferably behaviors related to maintaining, recovering and improving health.
  • data that can identify a hobby may be simply referred to as a hobby.
  • the hobbies stored in the hobby holding unit 110 are, for example, hobbies collected from users of the health behavior proposal device 11, but even if the hobbies are provided from an external database of the health behavior proposal device 11. good.
  • the inspection value holding unit 121 stores in advance the values (inspection values) of each inspection item of a large number of people. That is, the test value holding unit 121 stores the test values of a plurality of test items in the health-related test corresponding to each of a large number of people.
  • the test values are actual values collected from users of the health behavior proposal device 11 and actual values provided from an external database of the health behavior proposal device 11.
  • the hobby relevance holding unit 122 stores the relevance between hobbies stored in the hobby holding unit 110 in advance. That is, the hobby relevance holding unit 122 stores the relevance between hobbies.
  • the relevance stored in the hobby relevance holding unit 122 is a relevance determined in advance based on the hobbies collected from the users of the health behavior proposal device 11, but is from an external database of the health behavior proposal device 11. It may be a predetermined degree of relevance based on the hobby provided. It should be noted that, of course, the hobby-related degree holding unit 122 is substantially set with data capable of identifying a person having a hobby in which the degree of relevance to the hobby stored in the hobby-holding unit 110 is stored.
  • the degree of relevance is the degree of how many people have multiple types of hobbies in common. For example, the ratio of the number of people who have another hobby (for example, "cycling") to the number of people who have one hobby (for example, “driving”) is divided into one hobby and another hobby. Can be the degree of relevance. As an example, the number of people (sample size) who have one hobby (for example, "drive”) is 1000, of which they have other hobbies (eg, "cycling"). Assuming that the number of people is 100, the degree of association between one hobby and another hobby is 0.1.
  • the degree of relevance is considered to be high.
  • FIG. 8 is an explanatory diagram for simply explaining the degree of relevance between hobbies.
  • person B has a hobby of "driving” and "cycling”.
  • Person C has hobbies of “futsal”, “driving” and “cycling”.
  • Person D has hobbies of "driving” and "outdoor activities”.
  • the degree of relevance to other hobbies is calculated for hobbies with a large sample size (for example, 100 or more), and hobbies with a small sample size are excluded from the calculation of the degree of relevance.
  • the hobby-related degree holding unit 122 corresponds to each of a plurality of hobbies (“driving”, “cycling”, “futsal” and “outdoor activity” in the example shown in FIG. 8), and other hobbies (for example, “outdoor activities”).
  • the degree of relevance of "cycling", “futsal” and “outdoor activities") to "drive” is set.
  • the actual measurement value input unit 111 inputs the actual measurement value of each inspection item of the user 20 from the user 20. Some or all of the measured values of each inspection item may be obtained from other media instead of being directly input from the user 20.
  • the health behavior proposal device 11 inputs the measured value of the inspection item of the user 20 from the terminal device owned by the user 20 and having at least the display unit and the input unit
  • the measured value input unit 111 uses the communication line. Includes a receiving function to receive data from the terminal device. Further, when the input of the measured value of the inspection item is realized by GUI (Graphical User Interface), the measured value input unit 111 includes a transmission function of transmitting the display data of the input screen to the terminal device.
  • the predicted value calculation unit 112 predicts the future value of each inspection item. That is, the predicted value calculation unit 112 calculates the predicted value of each inspection item.
  • the comparison unit 113 determines whether or not the predicted value calculated by the predicted value calculation unit 112 is worse than the measured value. Further, the comparison unit 113 predicts the future value of the inspection value stored in the inspection value holding unit 121 for the same inspection item as the inspection item determined that the predicted value has deteriorated. That is, the comparison unit 113 calculates the predicted inspection value. Further, the comparison unit 113 determines whether or not the predicted inspection value is worse than the inspection value. The comparison unit 113 selects a person corresponding to the inspection item determined to have deteriorated in the predicted inspection value (specifically, data representing the person corresponding to the inspection item stored in the inspection value holding unit 121). Identify. That is, the comparison unit 113 identifies a person whose inspection value is expected to deteriorate.
  • the hobby selection unit 114 reads out the hobby of the person specified by the comparison unit 113 from the hobby holding unit 110.
  • the hobby selection unit 114 outputs the read hobby to the hobby presentation unit 115.
  • the hobby presentation unit 115 refers to the relevance degree stored in the hobby relevance degree holding unit 122, and reads out the hobby related to the hobby input from the hobby selection unit 114 from the hobby holding unit 110. It is also possible for the hobby presenting unit 115 to recognize the related hobby from the data stored in the hobby-related degree holding unit 122. Then, the hobby presentation unit 115 presents to the user 20 data that can specify the hobby input from the hobby selection unit 114 and data that can specify the hobby related to the hobby. When the health behavior proposal device 11 presents the user 20 with data that can identify the hobby via the terminal device possessed by the user 20, the hobby presentation unit 115 has a transmission function of transmitting the data to the terminal device. include. The transmission function of the hobby presentation unit 115 may also be used as the transmission function of the measured value input unit 111 described above.
  • the hobbies possessed by the person specified by the comparison unit 113 and the hobbies related to the hobbies are referred to as related hobbies. That is, the related hobbies include hobbies possessed by the person specified by the comparison unit 113 and hobbies related to the hobbies.
  • a hobby related to one hobby means a hobby that is highly related to one hobby.
  • the user 20 transmits the measured values of each inspection item from his / her own terminal device to the health behavior suggestion device 11, and receives a hobby from the health behavior suggestion device 11 via a terminal device having at least a display unit and an input unit. Take the case as an example.
  • the actual measurement value input unit 111 inputs the actual measurement value of each inspection item of the user 20 from the user 20 (step S501).
  • the actual measurement value input unit 111 transmits the display data for displaying the screen for input (input screen) to the terminal device of the user 20.
  • the terminal device of the user 20 displays an input screen as illustrated in FIG. On the screen, input fields corresponding to the measured values of each inspection item are displayed. The user 20 inputs data about the user himself / herself in the input field.
  • FIG. 10 is an explanatory diagram showing an example of an input screen displayed on the terminal device of the user in the second embodiment.
  • the test items are fasting blood glucose, HbA1c, systolic blood pressure, diastolic blood pressure, triglyceride, HDL (High Density Lipoprotein) cholesterol, and LDL (Low Density Lipoprotein), which are related to lifestyle-related diseases. Cholesterol, and abdominal circumference are exemplified.
  • the measured value of triglyceride is 100 [mg / dl] in a medical examination or the like
  • the user 20 inputs 100 in the triglyceride entry field.
  • FIG. 10 illustrates test items related to lifestyle-related diseases, test items that are not directly related to lifestyle-related diseases may be included.
  • the data entered in the input field on the input screen is transmitted to the health behavior proposal device 11.
  • the actual measurement value input unit 111 inputs the actual measurement value by receiving the data input to the terminal device in the process of step S501.
  • the predicted value calculation unit 112 calculates the predicted value from the actually measured value input to the actually measured value input unit 111 (step S502).
  • the predicted value is, for example, a value predicted one year after the actual measurement value of the user 20 is obtained, or a value predicted three years later.
  • the predicted value calculation unit 112 calculates the predicted value using, for example, one prediction formula obtained in advance.
  • a formula obtained by using AI may be used.
  • the prediction value calculation unit 112 may select and use the optimum prediction formula from the plurality of prediction formulas obtained by the heterogeneous mixture learning.
  • the predicted value calculation unit 112 compares the measured value with the predicted value for each inspection item. Then, the predicted value calculation unit 112 extracts an inspection item whose predicted value is worse than the measured value (step S503). For example, for an inspection item that deteriorates as the value increases, whether or not it deteriorates is determined by whether or not the rate of increase or the value of increase exceeds a predetermined rate or value that is predetermined. Will be done. For inspection items that are deteriorated when the value decreases, whether or not they are deteriorated is determined by whether or not the decrease rate or decrease value exceeds a predetermined rate or value that is predetermined. .. The predicted value calculation unit 112 outputs the extracted inspection items to the comparison unit 113.
  • the comparison unit 113 reads out the inspection value of the inspection item of the person (another person with respect to the user 20) for which the inspection item extracted by the prediction value calculation unit 112 is set from the inspection value holding unit 121 (step S504).
  • the comparison unit 113 calculates a predicted value (predicted inspection value) of the read inspection value of another person (step S505).
  • the calculation method may be the same as or different from the calculation method performed by the predicted value calculation unit 112.
  • the comparison unit 113 compares the inspection value with the predicted inspection value. Then, the predicted value calculation unit 112 determines whether or not the predicted inspection value is worse than the inspection value. That is, the other person whose predicted test value is worse than the test value is identified (step S506). If it is determined that the test value has not deteriorated, the information about the other person corresponding to the test value is not used in the subsequent processing.
  • the method of determining whether or not the predicted inspection value is worse than the inspection value is the same as the method of determining the actually measured value and the predicted value of the predicted value calculation unit 112.
  • the comparison unit 113 outputs data indicating the specified other person to the hobby selection unit 114.
  • the comparison unit 113 may output data indicating all the others to the hobby selection unit 114, but the degree of deterioration is the degree of deterioration of the user 20.
  • Data indicating one or a plurality of others close to may be output to the hobby selection unit 114.
  • the hobby selection unit 114 extracts the hobbies of others indicated by the data input from the comparison unit 113 from the hobby holding unit 110 (step S507). Further, the hobby selection unit 114 extracts a hobby related to the hobby extracted from the hobby holding unit 110 from the hobby-related degree holding unit 122 (step S508). The hobby selection unit 114 outputs the hobby extracted from the hobby holding unit 110 and the hobby related to the hobby to the hobby presentation unit 115 as a related hobby. The hobby selection unit 114 also outputs the degree of relevance of each related hobby to the hobby presentation unit 115.
  • the hobby selection unit 114 may select one or a plurality of related hobbies having a high degree of relevance and output them to the hobby presentation unit 115.
  • the relevance of the hobbies extracted from the hobby holding unit 110 is considered to be the highest at 1.0.
  • the comparison unit 113 When the comparison unit 113 is configured to output data indicating all others to the hobby selection unit 114, the comparison unit 113 outputs data indicating a plurality of others to the hobby selection unit 114. Occasionally, the hobby selection unit 114 extracts the hobbies of a plurality of others from the hobby holding unit 110. Then, the hobby selection unit 114 outputs, among the extracted hobbies, the hobby that most others have in common and the hobby related to the hobby to the hobby presentation unit 115 as a related hobby. People with similar health are likely to have the same desire to be healthy, so the hobby most others have in common may be that they are doing it to improve their health. It is high and is considered to be more appropriate as a hobby that the user 20 should have for improving health.
  • the hobby selection unit 114 presents all the extracted hobbies as hobbies. It may be output to unit 115.
  • the hobby presentation unit 115 presents data that can identify related hobbies to the user (step S509). Specifically, the hobby presentation unit 115 transmits data that can identify the related hobby to the terminal device of the user 20 together with the degree of relevance. In the terminal device, data that can identify related hobbies are displayed on the screen in descending order of relevance.
  • the screen displayed on the terminal device is referred to as a presentation screen.
  • the hobby selection unit 114 may output only the hobbies extracted from the hobby holding unit 110 to the hobby presentation unit 115.
  • the hobby presenting unit 115 transmits only the hobbies extracted from the hobby holding unit 110 to the terminal device owned by the user 20.
  • FIG. 11 is an explanatory diagram showing an example of a presentation screen displayed on the terminal device of the user 20.
  • icons corresponding to each of the three hobbies are displayed. That is, in this example, the hobby selection unit 114 selects three related hobbies in descending order of relevance as the actually presented related hobbies.
  • a comment that is, a testimonial is displayed together with an icon corresponding to the hobby, but in the present embodiment, the testimonial may not be displayed.
  • the health behavior proposal device 11 presents the hobbies extracted from the hobby holding unit 110 and the hobbies having a high degree of relevance to the hobbies to the user 20, that is, in descending order of relevance.
  • the hobbies are presented to the user 20 in the above, the hobbies may be presented to the user 20 in descending order of the effect of improving the health condition.
  • the hobby selection unit 114 uses a prediction formula obtained by using AI in which the hobbies are also included in the learning data. , Calculate the predicted value of the inspection value of the inspection item of the person who has a related hobby. The hobby selection unit 114 determines whether or not the predicted value is improved with respect to the inspection value. For example, for inspection items that are improved when the value decreases, whether or not they are improved is determined by whether or not the decrease rate or decrease value exceeds a predetermined rate or value that is predetermined. Will be done.
  • the hobby selection unit 114 determines that the inspection value is improved, the hobby selection unit 114 outputs the related hobby to the hobby presentation unit 115, and outputs the degree of improvement (decrease rate or magnitude of the reduction value) to the hobby presentation unit 115. Output.
  • the method for determining whether or not the improvement is as described above is an example, and another method capable of calculating the degree of improvement may be used.
  • the hobby presentation unit 115 transmits data that can identify related hobbies to the terminal device of the user 20 together with the degree of improvement.
  • the data that can identify the related hobby is displayed on the screen in descending order of the degree of improvement.
  • the health behavior proposal device 11 transmits GUI display data or the like to the terminal device of the user 20, but the terminal device has GUI framework data, presentation screen framework data, or the like. You may do it.
  • the health behavior proposal device 11 provides an application program that includes data of the GUI framework and data of the presentation screen framework and can be downloaded by the terminal device.
  • the terminal device downloads the application program in advance.
  • the application program functions so that the input screen as illustrated in FIG. 10 is displayed on the display unit of the terminal device.
  • the application program inputs the data input in the input field to the health behavior proposal device. Send to 11.
  • the health behavior proposal device 11 executes the above-mentioned process.
  • the hobby presentation unit 115 creates display data such that a comment (corresponding to a recommendation sentence) that is sung as a hobby for health behavior is also displayed on the presentation screen as illustrated in FIG. And may be transmitted to the terminal device. In that case, the user 20 can more easily recognize that the presented hobby leads to health improvement.
  • the health behavior proposal device 11 is a user who, like the user 20, has a hobby possessed by another person whose inspection item value is predicted to deteriorate and a hobby related to the hobby. Since it is presented to 20, it is possible to increase the possibility that the user 20 will be guided by the presented hobby. As with the user 20, it is probable that the other person whose test item value is expected to deteriorate is practicing his hobby as a healthy behavior. In addition, hobbies related to hobbies possessed by others, whose values of inspection items are expected to deteriorate, are also considered to lead to improvement of the health of the user 20 to some extent.
  • the health behavior suggestion device 11 is effective for health as well as in line with the desire to improve the health condition of the user 20 by presenting the hobbies of others whose health condition is close to the health condition of the user 20. Can propose hobbies. It is considered that the person who uses the health behavior proposal device 11 has a desire to improve the health condition.
  • Each function (each processing) in each of the above embodiments can be realized by a computer having a processor such as a CPU (Central Processing Unit) or a memory.
  • a health behavior proposal program for carrying out the method (processing) in the above embodiment is stored in a storage device (storage medium), and each function is executed by the CPU in the health behavior proposal program stored in the storage device. It may be realized by.
  • FIG. 12 is a block diagram showing an example of an information processing device (computer) having a CPU.
  • the CPU 700 realizes each function in each of the above embodiments by executing the process according to the health behavior proposal program stored in the storage device 701. That is, the computer has the requirement input unit 101, the comparison unit 103, the health behavior selection unit 104, the health behavior presentation unit 105, the measured value input unit 111, the predicted value calculation unit 112, and the comparison unit 113 shown in FIGS. , The functions of the hobby selection unit 114 and the hobby presentation unit 115 are realized.
  • the storage device 701 is, for example, a non-transitory computer readable medium.
  • Non-temporary computer-readable media include various types of tangible storage media (tangible storage medium). Specific examples of non-temporary computer-readable media include magnetic recording media (for example, hard disks), optical magnetic recording media (for example, optical magnetic disks), CD-ROMs (Compact Disc-Read Only Memory), and CD-Rs (Compact). Disc-Recordable), CD-R / W (Compact Disc-ReWritable), semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM).
  • the storage device 701 can be used as the health behavior holding unit 100, the hobby holding unit 110, the test value holding unit 121, and the hobby-related degree holding unit 122 shown in FIGS. 1 and 7.
  • the health behavior proposal program may be stored in various types of temporary computer-readable media (transitory computer readable medium).
  • the temporary computer-readable medium is supplied with a health behavior proposal program, for example, via a wired or wireless channel, i.e., via an electrical signal, an optical signal, or an electromagnetic wave.
  • the memory 702 is realized by, for example, a RAM (Random Access Memory), and is a storage means for temporarily storing data when the CPU 700 executes a process.
  • a mode in which a health behavior proposal program held by the storage device 701 or a temporary computer-readable medium is transferred to the memory 702 and the CPU 700 executes processing based on the health behavior proposal program in the memory 702 can be assumed.
  • FIG. 13 is a block diagram showing a main part of the health behavior proposal device according to the present invention.
  • the health behavior proposal device 800 (for example, the health behavior proposal devices 10 and 11) is a health behavior storage unit (health behavior storage means) 801 (in the embodiment, a health behavior) that stores data that can identify each of a plurality of health behaviors. It is realized by the holding unit 100 or the hobby holding unit 110) and the health behavior that contributes to the improvement of the health condition corresponding to any of the plurality of requirements that characterize the user regarding health is extracted from the health behavior memory unit 801.
  • Extraction unit (extraction means) 802 (in the embodiment, it is realized by the comparison unit 103 and the health behavior selection unit 104, or the predicted value calculation unit 112, the comparison unit 113, and the hobby selection unit 114), and the extraction unit 802. It is provided with a presentation unit (presentation means) 803 (in the embodiment, realized by the health behavior presentation unit 105 or the hobby presentation unit 115) that presents the health behavior extracted by the user to the user.
  • the health behavior memory unit 801 (in the embodiment, realized by the health behavior holding unit 100) stores a plurality of attributes of each of the plurality of health behaviors corresponding to the health behaviors.
  • the extraction unit 802 (in the embodiment, realized by the comparison unit 103 and the health behavior selection unit 104) of the user by comparing a plurality of requirements with a plurality of attributes of each health behavior. It may be configured to calculate the degree of association between health status and health behavior (eg, score) and extract one or more health behaviors with a high degree of association.
  • a plurality of hobbies are stored in the health behavior memory unit 801 (in the embodiment, the hobby holding unit 110) corresponding to a person having a hobby, and a health-related inspection is performed.
  • the inspection value storage unit in the embodiment, realized by the inspection value holding unit 121) that stores the inspection values of the plurality of inspection items in the above
  • the extraction unit 802 (implementation).
  • the predicted value calculation unit 112, the comparison unit 113, and the hobby selection unit 114) are measured values for predicting future values from the measured values (for example, actually measured values) in the user's health inspection.
  • the inspection item in which the future value predicted by the measurement value prediction unit deteriorates with respect to the measurement value is specified, and the specified inspection item is specified.
  • a person whose test value will deteriorate (specifically, data representing a person) is extracted from the test value storage unit, and the extracted person (specifically, a person represented by the extracted data) has it.
  • the hobby may be extracted from the health behavior memory unit 801 and the presentation unit 803 may be configured to present the hobby as a health behavior to the user.
  • Health behavior proposal device 10
  • User 100
  • Health behavior maintenance unit 101
  • Comparison unit 104
  • Health behavior selection unit 105
  • Health behavior presentation unit 110
  • Hobby retention unit 111
  • Measured value input unit 112
  • Predicted value calculation unit 113
  • Comparison unit 114
  • Hobby selection unit 115
  • Inspection value holding unit 122
  • Hobby relevance holding unit 700
  • CPU 701 Storage device 702 Memory 800
  • Health behavior proposal device 801
  • Health behavior storage unit 802 Extraction unit 803 Presentation unit

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Abstract

A health behavior proposal device 800 includes: a health behavior storage means 801 for storing data which can specify a plurality of health behaviors; an extraction means 802 for extracting, from the health behavior storage means 801, a health behavior that contributes to improvement of the health state corresponding to a plurality of requirements characterizing a user regarding the health; and a presentation means 803 for presenting, to the user, the health behavior extracted by the extraction means 802.

Description

健康行動提案装置および健康行動提案方法Health behavior proposal device and health behavior proposal method
 本発明は、利用者に健康行動への変容を促す健康行動提案装置および健康行動提案方法に関する。 The present invention relates to a health behavior proposal device and a health behavior proposal method that encourage users to transform into health behavior.
 生活習慣病予防のために、生活習慣の改善が求められる。人が健康によい行動を行う可能性を高める要因としてどのようなものがあるかを示す考え方として健康行動理論がある。生活改善策の実施に相当する健康行動は、健康の維持、回復および向上に関連する行動パターンである。 Lifestyle improvement is required to prevent lifestyle-related diseases. There is a theory of healthy behavior as a way of thinking that shows what factors increase the possibility that a person behaves in a healthy manner. Health behaviors that correspond to the implementation of life improvement measures are behavioral patterns associated with maintaining, recovering and improving health.
 健康意識が高くない人にとって、生活習慣を見直すことは容易ではない。具体的にどのように生活習慣を見直すべきかについてのアイデアが欠如しているために、生活習慣の見直しに取り組めないという人も多い。そのような人に対して、健康行動に導くために「あなたは運動したほうがよい」とか「飲酒頻度を減らしたほうがよい」といった提案がなされても、その人は、なかなか提案された行動に従わない。 For people who are not highly conscious of their health, it is not easy to review their lifestyle. Many people are unable to work on lifestyle-related reviews due to lack of specific ideas on how to review lifestyle-related habits. Even if suggestions are made to such a person, such as "you should exercise" or "you should drink less frequently" to lead to healthy behavior, the person will not follow the suggested behavior. No.
 一般に、人は、二者択一で物事を考えがちである。上記のような提案は、人を二者択一の考え方に導くことになる。すなわち、提案を受けた人に対して、健康行動を始める際に高い敷居を設定することになり、提案を受けた人は、健康行動を開始しづらい(例えば、非特許文献1参照)。 In general, people tend to think about things as an alternative. Proposals like the one above will lead people to an alternative way of thinking. That is, a high threshold is set for the person who receives the proposal when starting the healthy behavior, and it is difficult for the person who receives the proposal to start the healthy behavior (see, for example, Non-Patent Document 1).
 特許文献1には、個人毎の生活習慣の実データと、あらかじめ設定された検査項目の検査値とを訓練データとして用いて、生活習慣と検査値との関係を示すモデルを学習する健康状態予測装置が記載されている。特許文献1に記載された健康状態予測装置は、ユーザの生活習慣の実データとモデルとを用いて、ユーザの将来の検査値を予測する。そして、健康状態予測装置は、将来の検査値をユーザに提示する。さらに、特許文献1には、健康状態予測装置が、健康行動に関するアドバイスをユーザに提示することが記載されている。 In Patent Document 1, the actual data of lifestyle-related habits for each individual and the test values of preset test items are used as training data to learn a model showing the relationship between lifestyle-related habits and test values. The device is described. The health condition predictor described in Patent Document 1 predicts the future test value of the user by using the actual data and the model of the lifestyle of the user. Then, the health condition predictor presents the future test value to the user. Further, Patent Document 1 describes that the health condition predictor presents advice on health behavior to the user.
国際公開第2017/204233号International Publication No. 2017/20423
 しかし、対象者を健康行動に導くには、具体的な動機づけがより効果的である(非特許文献1参照)。特許文献1に記載された健康状態予測装置は、健康行動に関するアドバイスをユーザに提示するが、アドバイスは、ユーザの将来の検査値に関連していない。よって、特許文献1に記載された健康状態予測装置が使用される場合、アドバイスによってユーザを健康行動に導けるか否か不明である。 However, specific motivation is more effective in guiding the subject to healthy behavior (see Non-Patent Document 1). The health condition predictor described in Patent Document 1 presents advice on health behavior to the user, but the advice is not related to the user's future test values. Therefore, when the health condition prediction device described in Patent Document 1 is used, it is unclear whether or not the advice can lead the user to health behavior.
 本発明は、対象者が健康行動に導かれる可能性を高める健康行動提案装置および健康行動提案方法を提供することを目的とする。 An object of the present invention is to provide a health behavior proposal device and a health behavior proposal method that increase the possibility that a subject will be guided by a health behavior.
 本発明による健康行動提案装置は、複数の健康行動の各々を特定可能なデータを記憶する健康行動記憶手段と、健康に関して利用者を特徴づける複数の要件のいずれかに対応する健康状態の改善に貢献する健康行動を健康行動記憶手段から抽出する抽出手段と、抽出手段が抽出した健康行動を利用者に提示する提示手段とを含む。 The health behavior proposing device according to the present invention is a health behavior storage means for storing data that can identify each of a plurality of health behaviors, and for improving a health condition corresponding to any of a plurality of requirements that characterize a user regarding health. It includes an extraction means for extracting the contributing health behavior from the health behavior memory means and a presentation means for presenting the health behavior extracted by the extraction means to the user.
 本発明による健康行動提案方法は、健康に関して利用者を特徴づける複数の要件のいずれかに対応する健康状態の改善に貢献する健康行動を、複数の健康行動の各々を特定可能なデータを記憶する健康行動記憶手段から抽出し、抽出された健康行動を利用者に提示する。 The health behavior proposal method according to the present invention stores data that can identify each of the plurality of health behaviors that contribute to the improvement of the health condition corresponding to any of the plurality of requirements that characterize the user regarding health. It is extracted from the health behavior memory means and the extracted health behavior is presented to the user.
 本発明による健康行動提案プログラムは、コンピュータに、健康に関して利用者を特徴づける複数の要件のいずれかに対応する健康状態の改善に貢献する健康行動を、複数の健康行動の各々を特定可能なデータを記憶する健康行動記憶手段から抽出する処理と、抽出された健康行動を利用者に提示する処理とを実行させる。 The health behavior proposal program according to the present invention provides a computer with data that can identify each of the plurality of health behaviors that contribute to the improvement of the health condition corresponding to any of the plurality of requirements that characterize the user regarding health. The process of extracting from the health behavior memory means for memorizing the above and the process of presenting the extracted health behavior to the user are executed.
 本発明によれば、対象者が健康行動に導かれる可能性を高めることができる。 According to the present invention, it is possible to increase the possibility that the subject will be guided by healthy behavior.
第1の実施形態の健康行動提案装置の構成の一例を示すブロック図である。It is a block diagram which shows an example of the structure of the health behavior suggestion apparatus of 1st Embodiment. 健康行動保持部に格納される健康行動を特定可能なデータおよび付属情報の一例を示す説明図である。It is explanatory drawing which shows an example of the data which can identify the health behavior and the attached information stored in the health behavior holding part. スコア化の一例を示す説明図である。It is explanatory drawing which shows an example of scoring. 第1の実施形態の健康行動提案装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the health behavior suggestion apparatus of 1st Embodiment. 第1の実施形態における利用者が有する端末装置に表示される入力画面の一例を示す説明図である。It is explanatory drawing which shows an example of the input screen which is displayed on the terminal apparatus which the user has in 1st Embodiment. 第1の実施形態における利用者が有する端末装置に表示される提示画面の一例を示す説明図である。It is explanatory drawing which shows an example of the presentation screen displayed on the terminal device which the user has in 1st Embodiment. 第2の実施形態の健康行動提案装置の構成の一例を示すブロック図である。It is a block diagram which shows an example of the structure of the health behavior suggestion apparatus of 2nd Embodiment. 趣味間の関連度を説明するための説明図である。It is explanatory drawing for demonstrating the degree of relevance between hobbies. 第2の実施形態の健康行動提案装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the health behavior suggestion apparatus of 2nd Embodiment. 第2の実施形態における利用者が有する端末装置に表示される入力画面の一例を示す説明図である。It is explanatory drawing which shows an example of the input screen which is displayed on the terminal apparatus which the user has in 2nd Embodiment. 第2の実施形態における利用者が有する端末装置に表示される提示画面の一例を示す説明図である。It is explanatory drawing which shows an example of the presentation screen displayed on the terminal device which the user has in 2nd Embodiment. CPUを有する情報処理装置の一例を示すブロック図である。It is a block diagram which shows an example of the information processing apparatus which has a CPU. 健康行動提案装置の主要部を示すブロック図である。It is a block diagram which shows the main part of a health behavior suggestion apparatus.
 以下、本発明の実施形態を、図面を参照して説明する。 Hereinafter, embodiments of the present invention will be described with reference to the drawings.
実施形態1.
 図1は、第1の実施形態の健康行動提案装置の構成の一例を示すブロック図である。図1に示す健康行動提案装置10は、健康行動保持部100、要件入力部101、比較部103、健康行動選択部104および健康行動提示部105を備えている。
Embodiment 1.
FIG. 1 is a block diagram showing an example of the configuration of the health behavior proposal device of the first embodiment. The health behavior proposal device 10 shown in FIG. 1 includes a health behavior holding unit 100, a requirement input unit 101, a comparison unit 103, a health behavior selection unit 104, and a health behavior presentation unit 105.
 健康行動保持部100には、あらかじめ、複数の健康行動を特定可能なデータが、属性(具体的には、属性を示すデータ)などの付属情報(付属データ)とともに格納される。すなわち、健康行動保持部100は、複数の健康行動を特定可能なデータと付属データとを記憶する。 In the health behavior holding unit 100, data that can identify a plurality of health behaviors is stored in advance together with attached information (attached data) such as attributes (specifically, data indicating the attributes). That is, the health behavior holding unit 100 stores data that can identify a plurality of health behaviors and attached data.
 要件入力部101は、利用者20から、利用者20の健康行動に関連する要件(具体的には、要件を示すデータ)を入力する。要件として、利用者を特徴づける、「性別」、「独身/既婚」、「子供の有無」および「居住地」などの利用者の属性や、「現在の趣味」および「過去の趣味」などの利用者の嗜好や、「週末の過ごし方」および「現在地」などの利用者の状況等や、「健康課題」および「無料の健康行動を希望/有料の健康行動を希望」などの課題に関連する情報がある。よって、要件は、健康に関して利用者を特徴づける情報であるということもできる。以下、要件の一つ一つを、項目ということがある。 The requirement input unit 101 inputs requirements (specifically, data indicating the requirements) related to the health behavior of the user 20 from the user 20. Requirements include user attributes such as "gender", "single / married", "presence or absence of children" and "place of residence" that characterize the user, as well as "current hobbies" and "past hobbies". Related to user preferences, user status such as "how to spend the weekend" and "current location", and issues such as "health issues" and "wishing for free health behavior / wishing for paid health behavior" There is information to do. Therefore, it can be said that the requirement is information that characterizes the user regarding health. Hereinafter, each requirement may be referred to as an item.
 健康行動に関連する要件の一部または全ては、利用者20から直接に入力されるのではなく、他の媒体から取得されてもよい。健康行動提案装置10が、利用者20が有し、少なくとも表示部および入力部を備える端末装置から利用者20の健康行動に関連する要件を入力する場合、要件入力部101は、通信回線を介して端末装置からデータを受信する受信機能を含む。また、要件の入力がGUI(Graphical User Interface)で実現される場合には、要件入力部101は、入力画面の表示データを端末装置に送信する送信機能を含む。なお、端末装置として、パーソナルコンピュータ、スマートフォン、タブレット端末などが使用可能である。 Some or all of the requirements related to health behavior may be obtained from other media rather than being entered directly by user 20. When the health behavior proposal device 10 inputs requirements related to the health behavior of the user 20 from a terminal device owned by the user 20 and having at least a display unit and an input unit, the requirement input unit 101 uses a communication line. Includes a receiving function to receive data from the terminal device. Further, when the input of the requirement is realized by GUI (Graphical User Interface), the requirement input unit 101 includes a transmission function of transmitting the display data of the input screen to the terminal device. As the terminal device, a personal computer, a smartphone, a tablet terminal, or the like can be used.
 比較部103は、健康行動保持部100から健康行動に付属する属性を読み出し、要件入力部101が入力した要件と読み出した属性とを比較する。健康行動選択部104は、比較部103の比較結果に基づいて、利用者に推奨する健康行動を選択する。 The comparison unit 103 reads the attributes attached to the health behavior from the health behavior holding unit 100, and compares the requirements input by the requirement input unit 101 with the read attributes. The health behavior selection unit 104 selects a health behavior recommended to the user based on the comparison result of the comparison unit 103.
 健康行動提示部105は、健康行動選択部104が選択した健康行動を特定可能なデータを付属情報とともに利用者に提示する。健康行動提案装置10が、利用者20が有する端末装置を介して健康行動を特定可能なデータ等を利用者20に提示する場合には、健康行動提示部105は、データを端末装置に送信する送信機能を含む。健康行動提示部105の送信機能は、上述した要件入力部101の送信機能と兼用されてもよい。 The health behavior presentation unit 105 presents to the user data that can identify the health behavior selected by the health behavior selection unit 104 together with attached information. When the health behavior proposal device 10 presents data or the like capable of identifying the health behavior to the user 20 via the terminal device possessed by the user 20, the health behavior presentation unit 105 transmits the data to the terminal device. Includes transmission function. The transmission function of the health behavior presentation unit 105 may also be used as the transmission function of the requirement input unit 101 described above.
 図2は、健康行動保持部100に格納される健康行動を特定可能なデータおよび付属情報の一例を示す説明図である。図2には、健康行動として、行動そのものと行動を実行可能な施設とが例示されている。行動として、例えば、サイクリングやアウトドア活動がある。施設として、例えば、ABCジムがある。本実施形態では、行動を実行可能な施設も、健康行動に含められる。なお、健康行動は、図2に例示されたような行動および施設に限られない。 FIG. 2 is an explanatory diagram showing an example of data and attached information that can identify the health behavior stored in the health behavior holding unit 100. FIG. 2 exemplifies the behavior itself and the facility where the behavior can be executed as a health behavior. Actions include, for example, cycling and outdoor activities. As a facility, for example, there is an ABC gym. In this embodiment, facilities capable of performing actions are also included in health actions. Health behaviors are not limited to behaviors and facilities as illustrated in FIG.
 図2に示す例では、健康行動保持部100には、複数の健康行動を特定可能なデータ(図2に示す例では、健康行動の名称)が項番とともに格納される。さらに、健康行動保持部100には、各々の健康行動に対応する付属情報が格納される。 In the example shown in FIG. 2, the health behavior holding unit 100 stores data that can identify a plurality of health behaviors (in the example shown in FIG. 2, the name of the health behavior) together with the item number. Further, the health behavior holding unit 100 stores attached information corresponding to each health behavior.
 図2に示す例では、付属情報には、属性、コメントおよび場所の情報が含まれる。属性として、カテゴリ、付随情報および改善効果がある。なお、図2に示す例は一例であって、属性は、それらに限られない。図2に示す例では、付属情報に、さらに、コメントおよび場所が含まれる。コメントは、例えば、健康行動を実践した経験者による推薦文(キャッチフレーズ)である。場所は、健康行動が提供される場所を示す。なお、場所の情報が付属しない健康行動もある。以下、属性(特に、付随情報および改善効果)の一つ一つを、項目ということがある。また、付属情報の分類の仕方(本実施形態では、属性、コメントおよび場所に分類)は一例であって、他の分類の仕方を採用可能である。 In the example shown in FIG. 2, the attached information includes attribute, comment, and location information. Attributes include categories, incidental information, and improvement effects. The example shown in FIG. 2 is an example, and the attributes are not limited to them. In the example shown in FIG. 2, the ancillary information further includes comments and locations. The comment is, for example, a testimonial (catch phrase) by an experienced person who has practiced healthy behavior. The location indicates where health behavior is provided. In addition, some health behaviors do not come with location information. Hereinafter, each attribute (particularly, incidental information and improvement effect) may be referred to as an item. Further, the method of classifying the attached information (in this embodiment, classifying into attributes, comments, and places) is an example, and other classification methods can be adopted.
 付属情報における改善効果およびコメントは、一例として、健康行動を実践した経験者から収集したアンケート結果に基づいて作成される。例えば、「体重」に関して、「増加した」と回答した者の割合が所定値を越えている場合に、「体重が増加」に対して、「Yes」のデータが設定される。他の項目についても同様にデータが設定される。また、改善効果には、権威ある所定の機関が健康行動に対して認定した内容が設定されてもよい。また、付属情報における付随情報も、健康行動を実践した経験者から収集したアンケート結果に基づいて作成可能であるが、健康行動提案装置の管理者または健康行動提案装置の構築者が、一般常識に基づいて付随情報の内容を設定してもよい。管理者または構築者が一般常識に基づいて付随情報の内容を設定してもよいことは、改善効果に対してもあてはまる。 As an example, the improvement effect and comments in the attached information are created based on the results of the questionnaire collected from those who have practiced healthy behavior. For example, when the percentage of those who answered "gained" with respect to "weight" exceeds a predetermined value, the data of "Yes" is set for "weight gain". Data is set for other items in the same way. In addition, the improvement effect may be set to the content certified for health behavior by a predetermined authoritative institution. In addition, the accompanying information in the attached information can also be created based on the results of the questionnaire collected from those who have practiced health behavior, but the manager of the health behavior proposal device or the builder of the health behavior proposal device has general knowledge. The content of the accompanying information may be set based on the above. The fact that the administrator or the builder may set the content of the accompanying information based on common sense also applies to the improvement effect.
 比較部103は、要件入力部101が入力した要件と健康行動保持部100から読み出した属性とを比較し、比較結果をスコア化する。 The comparison unit 103 compares the requirements input by the requirement input unit 101 with the attributes read from the health behavior maintenance unit 100, and scores the comparison result.
 図3は、スコア化の一例を示す説明図である。図3に示す例では、健康行動は、サイクリングである。図3における左側には、サイクリングの属性の項目が例示されている。図3における右側には、健康行動に関連する要件の項目が例示されている。 FIG. 3 is an explanatory diagram showing an example of scoring. In the example shown in FIG. 3, the healthy behavior is cycling. On the left side of FIG. 3, the items of cycling attributes are illustrated. On the right side of FIG. 3, items of requirements related to health behavior are illustrated.
 比較部103は、要件の項目の各々とサイクリングの属性の項目の各々とを比較する。要件の項目およびサイクリングの属性の項目が例えばテキストデータで表されている場合には、比較部103は、“Yes” とされている要件の項目の各々と“Yes” とされているサイクリングの属性の項目の各々からキーワードを抽出する。図3に示された「体重が課題」を例にすると、「体重」がキーワードとして抽出される。また、「体重が改善」を例にすると、「体重」がキーワードとして抽出される。比較部103は、要件の項目から抽出されたキーワードと一致するキーワードが抽出されたサイクリングの属性の項目が存在した場合、サイクリングのスコアを例えば+1する。比較部103は、“Yes” とされている全ての要件の項目について、上述したようなキーワードの比較が終了したら、そのときのスコアを、最終的な健康行動(この例では、サイクリング)のスコアとする。 The comparison unit 103 compares each of the requirement items with each of the cycling attribute items. When the requirement item and the cycling attribute item are represented by, for example, text data, the comparison unit 103 indicates each of the requirement items marked with “Yes” and the cycling attribute marked with “Yes”. Extract keywords from each of the items in. Taking "weight is an issue" shown in FIG. 3 as an example, "weight" is extracted as a keyword. In addition, taking "weight improvement" as an example, "weight" is extracted as a keyword. The comparison unit 103 increases the cycling score by, for example, +1 when there is an item of the cycling attribute from which the keyword matching the keyword extracted from the requirement item is extracted. When the comparison of the keywords as described above is completed for all the requirement items marked as “Yes”, the comparison unit 103 sets the score at that time as the score of the final health behavior (cycling in this example). And.
 なお、健康行動のスコアは、利用者20の健康状態との関連性の程度を示す。スコアが高いすなわちスコア値が多いほど、関連性が高い。 The health behavior score indicates the degree of relevance to the health status of the user 20. The higher the score, that is, the higher the score value, the higher the relevance.
 なお、要件の項目である「お金を払ってでも」とサイクリングの属性の項目である「コストがかかる」とはキーワードが一致すると判定されるべきである。例えば、比較部103に、例えば「お金」と「コスト」とは一致するキーワードであることが設定された類義語辞書を設けることによって、比較部103は、「お金」と「コスト」とは一致するキーワードであると判定できる。 In addition, it should be judged that the keywords match the requirement item "even if you pay" and the cycling attribute item "costly". For example, by providing the comparison unit 103 with a synonym dictionary in which "money" and "cost" are set to be matching keywords, the comparison unit 103 matches "money" and "cost". It can be determined that it is a keyword.
 なお、比較部103がキーワードの基づく比較を行うことは一例である。例えば、入力可能な項目があらかじめコード化され(一例として、「体重が課題」=001)、要件入力部101が、実際に“Yes” と入力された項目に対応するコードを比較部103に出力するようにしてもよい。その場合には、健康行動の入力可能な属性の項目にあらかじめコードが割り当てられる。例えば、「体重改善」に対して001が割り当てられる。そして、健康行動保持部100に、健康行動の属性の項目としてのコードが格納される。比較部103は、健康行動の属性の項目のコードを読み出し、要件の項目のコードと健康行動の属性の項目のコードとを比較する。 It should be noted that the comparison unit 103 performs a keyword-based comparison as an example. For example, the items that can be input are pre-coded (for example, "weight is an issue" = 001), and the requirement input unit 101 outputs a code corresponding to the item actually input as "Yes" to the comparison unit 103. You may try to do it. In that case, a code is assigned in advance to the item of the attribute that can be input of the health behavior. For example, 001 is assigned to "weight improvement". Then, the code as an item of the attribute of the health behavior is stored in the health behavior holding unit 100. The comparison unit 103 reads the code of the item of the attribute of the health behavior and compares the code of the item of the requirement with the code of the item of the attribute of the health behavior.
 次に、図4のフローチャートを参照して健康行動提案装置10の動作を説明する。利用者20が、自身の端末装置から健康行動提案装置10に健康行動に関連する要件を送信し、少なくとも表示部および入力部を備える端末装置を介して健康行動提案装置10から健康行動の提示を受ける場合を例にする。 Next, the operation of the health behavior proposal device 10 will be described with reference to the flowchart of FIG. The user 20 transmits requirements related to health behavior from his / her own terminal device to the health behavior proposal device 10, and presents health behavior from the health behavior proposal device 10 via a terminal device having at least a display unit and an input unit. Take the case of receiving as an example.
 要件入力部101は、利用者20から、利用者20の健康行動に関連する要件を入力する(ステップS401)。要件入力部101は、GUIを介して健康行動に関連する要件を入力する場合には、例えば、入力のための画面(入力画面)を表示するための表示データを利用者20の端末装置に送信する。 The requirement input unit 101 inputs the requirements related to the health behavior of the user 20 from the user 20 (step S401). When inputting requirements related to health behavior via GUI, the requirement input unit 101 transmits, for example, display data for displaying a screen for input (input screen) to the terminal device of the user 20. do.
 利用者20の端末装置には、図5に例示するような入力画面が表示される。画面には、健康行動に関連する要件の各々の項目と、項目に対応する入力欄またはラジオボタンが表示される。利用者20は、入力欄に、利用者自身に関するデータを入力するか、または、該当するラジオボタンを選択する。なお、入力欄は、プルダウンメニュー形式で構成されていることが好ましい。入力欄に入力されたデータおよびラジオボタンによる選択結果は、健康行動提案装置10に送信される。図5に例示されたような入力画面を使用する場合には、要件入力部101は、ステップS401の処理で、端末装置に入力されたデータおよび選択結果を受信することによって要件を入力する。 The terminal device of the user 20 displays an input screen as illustrated in FIG. The screen displays each item of health behavior-related requirements and an input field or radio button corresponding to the item. The user 20 inputs data about the user himself / herself in the input field, or selects the corresponding radio button. The input field is preferably configured in a pull-down menu format. The data input in the input field and the selection result by the radio button are transmitted to the health behavior proposal device 10. When using the input screen as illustrated in FIG. 5, the requirement input unit 101 inputs the requirement by receiving the data input to the terminal device and the selection result in the process of step S401.
 なお、GUIを介して要件を入力する方法は一例であって、他の方法、例えば、利用者が健康行動提案装置10からの端末装置を介する画像または音声による問いかけに応じて端末装置にテキストまたは音声で回答を入力するような方法も使用可能である。 The method of inputting the requirements via the GUI is an example, and another method, for example, a text or text or voice on the terminal device in response to an image or voice question from the user via the terminal device from the health behavior proposal device 10. You can also use a method such as entering the answer by voice.
 比較部103は、健康行動保持部100から健康行動に付属する属性を読み出す(ステップS402)。そして、比較部103は、要件入力部101を介して得られた要件と読み出した属性とを比較し、健康行動のスコアを算出する(ステップS403)。比較の仕方は、既に説明したとおりである。また、健康行動のスコアの算出の仕方は、比較結果のスコア化として既に説明したとおりである。 The comparison unit 103 reads out the attributes attached to the health behavior from the health behavior holding unit 100 (step S402). Then, the comparison unit 103 compares the requirement obtained through the requirement input unit 101 with the read attribute, and calculates a health behavior score (step S403). The method of comparison is as already explained. In addition, the method of calculating the score of health behavior is as already explained as the scoring of the comparison result.
 健康行動保持部100に格納されている全ての健康行動についてステップS402,S403の処理が実行されたら、ステップS405に移行する(ステップS404)。そうでない場合には、ステップS402に戻る。そして、ステップS402で、健康行動保持部100に格納されている次の健康行動についてステップS402,S403の処理が実行される。 When the processes of steps S402 and S403 are executed for all the health behaviors stored in the health behavior holding unit 100, the process proceeds to step S405 (step S404). If not, the process returns to step S402. Then, in step S402, the processes of steps S402 and S403 are executed for the next health behavior stored in the health behavior holding unit 100.
 ステップS405において、健康行動選択部104は、全ての健康行動のうち、スコアが高い順に1つまたは複数の健康行動を選択する。 In step S405, the health behavior selection unit 104 selects one or a plurality of health behaviors in descending order of score among all the health behaviors.
 そして、健康行動提示部105は、健康行動選択部104が選択した健康行動の付属情報(例えば、コメント)を健康行動保持部100から読み出す。健康行動提示部105は、健康行動を特定可能なデータを付属情報とともに利用者に提示する(ステップS406)。具体的には、健康行動提示部105は、健康行動を特定可能なデータを付属情報とともに利用者20が有する端末装置に送信する。端末装置において、健康行動を特定可能なデータが付属情報とともに画面表示される。以下、端末装置において表示される画面を提示画面という。 Then, the health behavior presentation unit 105 reads out the attached information (for example, comment) of the health behavior selected by the health behavior selection unit 104 from the health behavior holding unit 100. The health behavior presentation unit 105 presents data that can identify the health behavior to the user together with the attached information (step S406). Specifically, the health behavior presentation unit 105 transmits data that can identify the health behavior to the terminal device of the user 20 together with the attached information. On the terminal device, data that can identify health behavior is displayed on the screen together with attached information. Hereinafter, the screen displayed on the terminal device is referred to as a presentation screen.
 図6は、利用者20が有する端末装置において表示される提示画面の一例を示す説明図である。図6に示す例では、3つの健康行動のそれぞれに対応するアイコンが表示される。すなわち、この例では、健康行動選択部104によって、スコアが高い順に3つの健康行動が選択される。また、図6に示す例では、健康行動に対応するアイコンとともに、コメントすなわち推薦文も表示される。 FIG. 6 is an explanatory diagram showing an example of a presentation screen displayed on the terminal device of the user 20. In the example shown in FIG. 6, icons corresponding to each of the three health behaviors are displayed. That is, in this example, the health behavior selection unit 104 selects three health behaviors in descending order of score. Further, in the example shown in FIG. 6, a comment, that is, a recommendation sentence is displayed together with an icon corresponding to the health behavior.
 なお、本実施形態では、比較部103は、健康行動保持部100に格納されている全ての健康行動を対象としてスコアを算出したが、一部の健康行動を対象としてスコアを算出してもよい。一例として、比較部103は、利用者20の健康行動に関連する要件の項目に性別が含まれていた場合、該当する性別を属性として含む健康行動を対象としてスコアを算出する。 In the present embodiment, the comparison unit 103 calculates the score for all the health behaviors stored in the health behavior holding unit 100, but the comparison unit 103 may calculate the score for some health behaviors. .. As an example, when the comparison unit 103 includes gender in the item of the requirement related to the health behavior of the user 20, the comparison unit 103 calculates the score for the health behavior including the corresponding gender as an attribute.
 また、健康行動提案装置10は、健康行動の付属情報の場所の情報をスコアの算出に反映してもよい。例えば、健康行動提案装置10が端末装置の位置情報を入手可能な場合、または、端末装置に場所に関する情報(例えば、図5に例示された居住地のデータ)が入力された場合を想定する。その場合、比較部103は、スコアを算出するときに、「場所」の付属情報を伴う健康行動における場所の内容(すなわち、位置)が、端末装置からの情報(位置情報または場所に関する情報)が示す位置と一致するか、または、端末装置からの情報が示す位置と近接するか否か確認する。双方の場所が一致するか、または、近接している場合には、比較部103は、健康行動のスコアを高くする。 Further, the health behavior suggestion device 10 may reflect the location information of the attached information of the health behavior in the calculation of the score. For example, it is assumed that the health behavior suggestion device 10 can obtain the position information of the terminal device, or that the information about the location (for example, the data of the place of residence illustrated in FIG. 5) is input to the terminal device. In that case, when the comparison unit 103 calculates the score, the content (that is, the position) of the place in the health behavior accompanied by the attached information of the "place" is the information from the terminal device (the position information or the information about the place). Check if it matches the indicated position or if the information from the terminal device is close to the indicated position. If both locations match or are in close proximity, the comparison unit 103 increases the health behavior score.
 また、本実施形態では、健康行動提案装置10が、利用者20が有する端末装置にGUIの表示データ等を送信したが、端末装置が、GUIの枠組みデータや提示画面の枠組みデータ等を有するようにしてもよい。 Further, in the present embodiment, the health behavior proposal device 10 transmits GUI display data or the like to the terminal device of the user 20, but the terminal device has GUI framework data, presentation screen framework data, or the like. You may do it.
 例えば、健康行動提案装置10は、GUIの枠組み(データ未入力の状態のGUI)のデータや提示画面の枠組み(テキストやアイコンが未表示の状態の提示画面)のデータを含み、端末装置がダウンロード可能なアプリケーションプログラム(健康行動提案アプリケーションプログラム)を提供する。端末装置は、あらかじめ、アプリケーションプログラムをダウンロードする。そして、端末装置においてアプリケーションプログラムが起動されると、アプリケーションプログラムは、図5に例示されたような入力画面を端末装置の表示部に表示されるように機能する。利用者20が入力欄にデータを入力しラジオボタンによる選択を行った後、表示部に表示される所定の送信ボタンまたは完了ボタンを押下すると、アプリケーションプログラムは、入力欄に入力されたデータおよびラジオボタンによる選択結果を健康行動提案装置10に送信する。その後、健康行動提案装置10は、上述した処理を実行する。 For example, the health behavior proposal device 10 includes data of the GUI framework (GUI in the state where no data is input) and data in the framework of the presentation screen (presentation screen in which the text or icon is not displayed), and is downloaded by the terminal device. Provide a possible application program (health behavior proposal application program). The terminal device downloads the application program in advance. Then, when the application program is started in the terminal device, the application program functions so that the input screen as illustrated in FIG. 5 is displayed on the display unit of the terminal device. After the user 20 inputs data in the input field and makes a selection using the radio button, when the predetermined send button or finish button displayed on the display unit is pressed, the application program displays the data and radio input in the input field. The selection result by the button is transmitted to the health behavior proposal device 10. After that, the health behavior proposal device 10 executes the above-mentioned process.
 なお、他者が端末装置の位置情報を取得できるように利用者20が端末装置を設定している場合には、健康行動提案装置10は、アプリケーションプログラムを介して、容易に、端末装置の位置情報を入手できる。 When the user 20 sets the terminal device so that another person can acquire the position information of the terminal device, the health behavior proposal device 10 can easily position the terminal device via the application program. Information is available.
 以上に説明したように、本実施形態では、健康行動提案装置10は、利用者20の属性や利用者20が認識している課題等に適合する健康行動を利用者20に提示するので、利用者20が提示された健康行動に導かれる可能性を高めることができる。 As described above, in the present embodiment, the health behavior proposal device 10 presents to the user 20 a health behavior that matches the attributes of the user 20, the issues recognized by the user 20, and the like. It is possible to increase the possibility that the person 20 will be guided by the presented health behavior.
 さらに、本実施形態では、例えば健康行動を実践した経験者による推薦文としてのコメントも利用者20に提示されるので、利用者20が提示された健康行動に導かれる可能性がより高められる。 Further, in the present embodiment, for example, a comment as a recommendation sentence by an experienced person who has practiced a healthy behavior is also presented to the user 20, so that the possibility that the user 20 is guided by the presented healthy behavior is further increased.
実施形態2.
 第2の実施形態では、健康行動として趣味が着目される。また、健康に関して利用者を特徴づける情報すなわち要件として、健康診断等の健康に関する検査における各検査項目の値(測定値、すなわち実測値)が使用される。以下、健康診断等の健康に関する検査の検査項目を、単に、検査項目という。
Embodiment 2.
In the second embodiment, the hobby is focused on as a healthy behavior. In addition, as information that characterizes the user regarding health, that is, a requirement, the value (measured value, that is, actually measured value) of each test item in a health-related test such as a health check is used. Hereinafter, the inspection items of health-related inspections such as health examinations are simply referred to as inspection items.
 図7は、第2の実施形態の健康行動提案装置の構成の一例を示すブロック図である。図7に示す健康行動提案装置11は、趣味保持部110、実測値入力部111、予測値算出部112、比較部113、趣味選択部114および趣味提示部115を備えている。健康行動提案装置11は、さらに、検査値保持部121および趣味関連度保持部122を備えている。 FIG. 7 is a block diagram showing an example of the configuration of the health behavior proposal device of the second embodiment. The health behavior proposal device 11 shown in FIG. 7 includes a hobby holding unit 110, an actually measured value input unit 111, a predicted value calculation unit 112, a comparison unit 113, a hobby selection unit 114, and a hobby presentation unit 115. The health behavior proposal device 11 further includes a test value holding unit 121 and a hobby-related degree holding unit 122.
 趣味保持部110には、あらかじめ、複数の趣味の各々を特定可能なデータが、その趣味を持つ人に対応して格納される。すなわち、趣味保持部110は、複数の趣味を特定可能なデータを、その趣味を持つ人に対応して記憶する。趣味は、健康の維持、回復および向上に関連する行動であることが好ましい。以下、趣味を特定可能なデータを、単に、趣味ということがある。また、趣味保持部110に格納される趣味は、たとえば、健康行動提案装置11の利用者から収集された趣味であるが、健康行動提案装置11の外部のデータベースから提供された趣味であってもよい。 In the hobby holding unit 110, data that can identify each of a plurality of hobbies is stored in advance corresponding to a person having that hobby. That is, the hobby holding unit 110 stores data that can identify a plurality of hobbies corresponding to a person having the hobby. Hobbies are preferably behaviors related to maintaining, recovering and improving health. Hereinafter, data that can identify a hobby may be simply referred to as a hobby. Further, the hobbies stored in the hobby holding unit 110 are, for example, hobbies collected from users of the health behavior proposal device 11, but even if the hobbies are provided from an external database of the health behavior proposal device 11. good.
 検査値保持部121には、あらかじめ、多数の人の各々の各検査項目の値(検査値)が格納される。すなわち、検査値保持部121は、健康に関する検査における複数の検査項目の検査値を、多数の人の各々に対応して記憶する。検査値は、健康行動提案装置11の利用者から収集された実績値や、健康行動提案装置11の外部のデータベースから提供された実績値である。 The inspection value holding unit 121 stores in advance the values (inspection values) of each inspection item of a large number of people. That is, the test value holding unit 121 stores the test values of a plurality of test items in the health-related test corresponding to each of a large number of people. The test values are actual values collected from users of the health behavior proposal device 11 and actual values provided from an external database of the health behavior proposal device 11.
 趣味関連度保持部122には、あらかじめ、趣味保持部110に格納されている趣味の間の関連度が格納される。すなわち、趣味関連度保持部122は、趣味間の関連度を記憶する。趣味関連度保持部122に格納される関連度は、健康行動提案装置11の利用者から収集された趣味に基づいてあらかじめ決定された関連度であるが、健康行動提案装置11の外部のデータベースから提供された趣味に基づいてあらかじめ決定された関連度であってもよい。なお、趣味関連度保持部122には、当然、趣味保持部110に格納されている趣味との関連度が格納されている趣味を持つ人を特定可能なデータも実質的に設定されている。 The hobby relevance holding unit 122 stores the relevance between hobbies stored in the hobby holding unit 110 in advance. That is, the hobby relevance holding unit 122 stores the relevance between hobbies. The relevance stored in the hobby relevance holding unit 122 is a relevance determined in advance based on the hobbies collected from the users of the health behavior proposal device 11, but is from an external database of the health behavior proposal device 11. It may be a predetermined degree of relevance based on the hobby provided. It should be noted that, of course, the hobby-related degree holding unit 122 is substantially set with data capable of identifying a person having a hobby in which the degree of relevance to the hobby stored in the hobby-holding unit 110 is stored.
 関連度は、複数種類の趣味をどれだけの人が共通して持っているかの程度である。例えば、一の趣味(例えば、「ドライブ」)を持っている人の数に対する、他の趣味(例えば、「サイクリング」)を持っている人の数の割合を、一の趣味と他の趣味との関連度とすることができる。一例として、一の趣味(一例として、「ドライブ」)を持っている人の数(サンプルサイズとする。)が1000人であり、そのうちの他の趣味(例えば、「サイクリング」)を持っている人の数が100人であるとすると、一の趣味と他の趣味との関連度は、0.1である。 The degree of relevance is the degree of how many people have multiple types of hobbies in common. For example, the ratio of the number of people who have another hobby (for example, "cycling") to the number of people who have one hobby (for example, "driving") is divided into one hobby and another hobby. Can be the degree of relevance. As an example, the number of people (sample size) who have one hobby (for example, "drive") is 1000, of which they have other hobbies (eg, "cycling"). Assuming that the number of people is 100, the degree of association between one hobby and another hobby is 0.1.
 そして、関連度があらかじめ定められている所定値以上である場合に、関連度が高いとされる。 And, when the degree of relevance is equal to or higher than a predetermined value, the degree of relevance is considered to be high.
 図8は、趣味間の関連度を簡略的に説明するための説明図である。図8に示す例では、人B、人C、人Dの3人のうち、人Bは、「ドライブ」および「サイクリング」の趣味を持つ。人Cは、「フットサル」、「ドライブ」および「サイクリング」の趣味を持つ。人Dは、「ドライブ」および「アウトドア活動」の趣味を持つ。 FIG. 8 is an explanatory diagram for simply explaining the degree of relevance between hobbies. In the example shown in FIG. 8, of the three persons B, C, and D, person B has a hobby of "driving" and "cycling". Person C has hobbies of "futsal", "driving" and "cycling". Person D has hobbies of "driving" and "outdoor activities".
 「ドライブ」の趣味を持つ人の数は3人である。そのうち「サイクリング」の趣味を持つ人の数は2人である。よって、「ドライブ」と「サイクリング」との関連度は、2/3=0.67である。3人のうちで「フットサル」の趣味または「アウトドア活動」の趣味を持つ人は1名である。よって、「ドライブ」と「フットサル」との関連度は、1/3=0.33である。「ドライブ」と「アウトドア活動」との関連度は、1/3=0.33である。 The number of people who have a hobby of "driving" is three. Two of them have a hobby of "cycling". Therefore, the degree of association between "drive" and "cycling" is 2/3 = 0.67. Of the three, one has a hobby of "futsal" or "outdoor activities". Therefore, the degree of association between "drive" and "futsal" is 1/3 = 0.33. The degree of relevance between "drive" and "outdoor activities" is 1/3 = 0.33.
 例えば、関連度が高いか否か判定するための所定値として0.5が用いられる場合には、「ドライブ」と「サイクリング」との関連度は高いといえる。所定値として0.3が用いられる場合には、「ドライブ」と「フットサル」との関連度も高く、「ドライブ」と「アウトドア活動」との関連度も高いといえる。 For example, when 0.5 is used as a predetermined value for determining whether or not the degree of relevance is high, it can be said that the degree of relevance between "drive" and "cycling" is high. When 0.3 is used as the predetermined value, it can be said that the degree of relevance between "drive" and "futsal" is high, and the degree of relevance between "drive" and "outdoor activity" is also high.
 なお、サンプルサイズが大きい(一例として、100以上)趣味を対象として他の趣味との関連度が算出され、サンプルサイズが小さい趣味は関連度の算出の対象から除外されることが好ましい。 It is preferable that the degree of relevance to other hobbies is calculated for hobbies with a large sample size (for example, 100 or more), and hobbies with a small sample size are excluded from the calculation of the degree of relevance.
 趣味関連度保持部122には、複数の趣味(図8に示す例では、「ドライブ」、「サイクリング」、「フットサル」および「アウトドア活動」)のそれぞれに対応して、他の趣味(例えば、「ドライブ」に対する「サイクリング」、「フットサル」および「アウトドア活動」)の各々の関連度が設定される。 The hobby-related degree holding unit 122 corresponds to each of a plurality of hobbies (“driving”, “cycling”, “futsal” and “outdoor activity” in the example shown in FIG. 8), and other hobbies (for example, “outdoor activities”). The degree of relevance of "cycling", "futsal" and "outdoor activities") to "drive" is set.
 実測値入力部111は、利用者20から、利用者20の各検査項目の実測値を入力する。各検査項目の実測値の一部または全ては、利用者20から直接に入力されるのではなく、他の媒体から取得されてもよい。健康行動提案装置11が、利用者20が有し、少なくとも表示部および入力部を備える端末装置から利用者20の検査項目の実測値を入力する場合、実測値入力部111は、通信回線を介して端末装置からデータを受信する受信機能を含む。また、検査項目の実測値の入力がGUI(Graphical User Interface)で実現される場合には、実測値入力部111は、入力画面の表示データを端末装置に送信する送信機能を含む。 The actual measurement value input unit 111 inputs the actual measurement value of each inspection item of the user 20 from the user 20. Some or all of the measured values of each inspection item may be obtained from other media instead of being directly input from the user 20. When the health behavior proposal device 11 inputs the measured value of the inspection item of the user 20 from the terminal device owned by the user 20 and having at least the display unit and the input unit, the measured value input unit 111 uses the communication line. Includes a receiving function to receive data from the terminal device. Further, when the input of the measured value of the inspection item is realized by GUI (Graphical User Interface), the measured value input unit 111 includes a transmission function of transmitting the display data of the input screen to the terminal device.
 予測値算出部112は、各検査項目の将来の値を予測する。すなわち、予測値算出部112は、各検査項目の予測値を算出する。 The predicted value calculation unit 112 predicts the future value of each inspection item. That is, the predicted value calculation unit 112 calculates the predicted value of each inspection item.
 比較部113は、予測値算出部112が算出した予測値が実測値に対して悪化しているか否か判定する。また、比較部113は、予測値が悪化していると判定した検査項目と同じ検査項目について、検査値保持部121に格納されている検査値の将来の値を予測する。すなわち、比較部113は、予測検査値を算出する。さらに、比較部113は、予測検査値が検査値に対して悪化しているか否か判定する。比較部113は、予測検査値が悪化していると判定した検査項目に対応する人(具体的には、検査値保持部121に格納されている当該検査項目に対応する人を表すデータ)を特定する。すなわち、比較部113は、検査値が悪化すると予測される人を特定する。 The comparison unit 113 determines whether or not the predicted value calculated by the predicted value calculation unit 112 is worse than the measured value. Further, the comparison unit 113 predicts the future value of the inspection value stored in the inspection value holding unit 121 for the same inspection item as the inspection item determined that the predicted value has deteriorated. That is, the comparison unit 113 calculates the predicted inspection value. Further, the comparison unit 113 determines whether or not the predicted inspection value is worse than the inspection value. The comparison unit 113 selects a person corresponding to the inspection item determined to have deteriorated in the predicted inspection value (specifically, data representing the person corresponding to the inspection item stored in the inspection value holding unit 121). Identify. That is, the comparison unit 113 identifies a person whose inspection value is expected to deteriorate.
 趣味選択部114は、比較部113が特定した人が持つ趣味を、趣味保持部110から読み出す。趣味選択部114は、読み出した趣味を趣味提示部115に出力する。 The hobby selection unit 114 reads out the hobby of the person specified by the comparison unit 113 from the hobby holding unit 110. The hobby selection unit 114 outputs the read hobby to the hobby presentation unit 115.
 趣味提示部115は、趣味関連度保持部122に格納されている関連度を参照して、趣味選択部114から入力した趣味に関連する趣味を、趣味保持部110から読み出す。なお、趣味提示部115が、趣味関連度保持部122に格納されているデータから、関連する趣味を認識することも可能である。そして、趣味提示部115は、趣味選択部114から入力した趣味を特定可能なデータとその趣味に関連する趣味を特定可能なデータとを利用者20に提示する。健康行動提案装置11が、利用者20が有する端末装置を介して趣味を特定可能なデータを利用者20に提示する場合には、趣味提示部115は、データを端末装置に送信する送信機能を含む。趣味提示部115の送信機能は、上述した実測値入力部111の送信機能と兼用されてもよい。 The hobby presentation unit 115 refers to the relevance degree stored in the hobby relevance degree holding unit 122, and reads out the hobby related to the hobby input from the hobby selection unit 114 from the hobby holding unit 110. It is also possible for the hobby presenting unit 115 to recognize the related hobby from the data stored in the hobby-related degree holding unit 122. Then, the hobby presentation unit 115 presents to the user 20 data that can specify the hobby input from the hobby selection unit 114 and data that can specify the hobby related to the hobby. When the health behavior proposal device 11 presents the user 20 with data that can identify the hobby via the terminal device possessed by the user 20, the hobby presentation unit 115 has a transmission function of transmitting the data to the terminal device. include. The transmission function of the hobby presentation unit 115 may also be used as the transmission function of the measured value input unit 111 described above.
 以下、比較部113が特定した人が持つ趣味とその趣味に関連する趣味とを関連趣味という。すなわち、関連趣味には、比較部113が特定した人が持つ趣味とその趣味に関連する趣味とが含まれる。なお、一の趣味に関連する趣味は、一の趣味との関連度が高い趣味を意味する。 Hereinafter, the hobbies possessed by the person specified by the comparison unit 113 and the hobbies related to the hobbies are referred to as related hobbies. That is, the related hobbies include hobbies possessed by the person specified by the comparison unit 113 and hobbies related to the hobbies. A hobby related to one hobby means a hobby that is highly related to one hobby.
 次に、図9のフローチャートを参照して健康行動提案装置11の動作を説明する。利用者20が、自身の端末装置から健康行動提案装置11に各検査項目の実測値を送信し、少なくとも表示部および入力部を備える端末装置を介して健康行動提案装置11から趣味の提示を受ける場合を例にする。 Next, the operation of the health behavior proposal device 11 will be described with reference to the flowchart of FIG. The user 20 transmits the measured values of each inspection item from his / her own terminal device to the health behavior suggestion device 11, and receives a hobby from the health behavior suggestion device 11 via a terminal device having at least a display unit and an input unit. Take the case as an example.
 実測値入力部111は、利用者20から、利用者20の各検査項目の実測値を入力する(ステップS501)。実測値入力部111は、GUIを介して実測値を入力する場合には、例えば、入力のための画面(入力画面)を表示するための表示データを利用者20の端末装置に送信する。 The actual measurement value input unit 111 inputs the actual measurement value of each inspection item of the user 20 from the user 20 (step S501). When the actual measurement value input unit 111 inputs the actual measurement value via the GUI, for example, the actual measurement value input unit 111 transmits the display data for displaying the screen for input (input screen) to the terminal device of the user 20.
 利用者20の端末装置には、図10に例示するような入力画面が表示される。画面には、各検査項目の実測値に対応する入力欄が表示される。利用者20は、入力欄に、利用者自身に関するデータを入力する。 The terminal device of the user 20 displays an input screen as illustrated in FIG. On the screen, input fields corresponding to the measured values of each inspection item are displayed. The user 20 inputs data about the user himself / herself in the input field.
 図10は、第2の実施形態における利用者が有する端末装置に表示される入力画面の一例を示す説明図である。図10に示す例では、検査項目として、生活習慣病に関連する、空腹時血糖、HbA1c 、収縮期血圧、拡張期血圧、中性脂肪、HDL(High Density Lipoprotein)コレステロール、LDL(Low Density Lipoprotein )コレステロール、および腹囲が例示されている。例えば、健康診断などで中性脂肪の測定値が100[mg/dl]であった場合、利用者20は、中性脂肪の記入欄に100を入力する。なお、図10には、生活習慣病に関連する検査項目が例示されているが、生活習慣病に直結しない検査項目が含まれていてもよい。 FIG. 10 is an explanatory diagram showing an example of an input screen displayed on the terminal device of the user in the second embodiment. In the example shown in FIG. 10, the test items are fasting blood glucose, HbA1c, systolic blood pressure, diastolic blood pressure, triglyceride, HDL (High Density Lipoprotein) cholesterol, and LDL (Low Density Lipoprotein), which are related to lifestyle-related diseases. Cholesterol, and abdominal circumference are exemplified. For example, when the measured value of triglyceride is 100 [mg / dl] in a medical examination or the like, the user 20 inputs 100 in the triglyceride entry field. Although FIG. 10 illustrates test items related to lifestyle-related diseases, test items that are not directly related to lifestyle-related diseases may be included.
 入力画面における入力欄に入力されたデータは、健康行動提案装置11に送信される。図10に例示されたような入力画面を使用する場合には、実測値入力部111は、ステップS501の処理で、端末装置に入力されたデータを受信することによって実測値を入力する。 The data entered in the input field on the input screen is transmitted to the health behavior proposal device 11. When using the input screen as illustrated in FIG. 10, the actual measurement value input unit 111 inputs the actual measurement value by receiving the data input to the terminal device in the process of step S501.
 予測値算出部112は、実測値入力部111に入力された実測値から予測値を算出する(ステップS502)。予測値は、例えば、利用者20の実測値が得られたときから1年後の予測される値や、3年後の予測される値である。予測値算出部112は、例えば、あらかじめ得られている1つの予測式を用いて予測値を算出する。予測式として、AI(Artificial Intelligence )を利用して得られた式が利用されてもよい。また、予測値算出部112は、異種混合学習で得られた複数の予測式のうちの最適な予測式を選択して使用してもよい。 The predicted value calculation unit 112 calculates the predicted value from the actually measured value input to the actually measured value input unit 111 (step S502). The predicted value is, for example, a value predicted one year after the actual measurement value of the user 20 is obtained, or a value predicted three years later. The predicted value calculation unit 112 calculates the predicted value using, for example, one prediction formula obtained in advance. As the prediction formula, a formula obtained by using AI (Artificial Intelligence) may be used. Further, the prediction value calculation unit 112 may select and use the optimum prediction formula from the plurality of prediction formulas obtained by the heterogeneous mixture learning.
 予測値算出部112は、各検査項目に関して、実測値と予測値とを比較する。そして、予測値算出部112は、実測値に対して予測値が悪化している検査項目を抽出する(ステップS503)。例えば、値が増加すると悪化していることになる検査項目については、悪化しているか否かは、増加率または増加値があらかじめ決められている所定の率または値を越えているか否かによって判定される。値が減少すると悪化していることになる検査項目については、悪化しているか否かは、減少率または減少値があらかじめ決められている所定の率または値を越えているか否かによって判定される。予測値算出部112は、抽出した検査項目を比較部113に出力する。 The predicted value calculation unit 112 compares the measured value with the predicted value for each inspection item. Then, the predicted value calculation unit 112 extracts an inspection item whose predicted value is worse than the measured value (step S503). For example, for an inspection item that deteriorates as the value increases, whether or not it deteriorates is determined by whether or not the rate of increase or the value of increase exceeds a predetermined rate or value that is predetermined. Will be done. For inspection items that are deteriorated when the value decreases, whether or not they are deteriorated is determined by whether or not the decrease rate or decrease value exceeds a predetermined rate or value that is predetermined. .. The predicted value calculation unit 112 outputs the extracted inspection items to the comparison unit 113.
 比較部113は、予測値算出部112が抽出した検査項目が設定されている人(利用者20に対する他者)の当該検査項目の検査値を検査値保持部121から読み出す(ステップS504)。比較部113は、読み出した他者の検査値の予測値(予測検査値)を算出する(ステップS505)。算出の仕方は、予測値算出部112が行う算出の仕方と同じであってもよいし、異なっていてもよい。 The comparison unit 113 reads out the inspection value of the inspection item of the person (another person with respect to the user 20) for which the inspection item extracted by the prediction value calculation unit 112 is set from the inspection value holding unit 121 (step S504). The comparison unit 113 calculates a predicted value (predicted inspection value) of the read inspection value of another person (step S505). The calculation method may be the same as or different from the calculation method performed by the predicted value calculation unit 112.
 さらに、比較部113は、検査値と予測検査値とを比較する。そして、予測値算出部112は、検査値に対して予測検査値が悪化しているか否か判定する。すなわち、検査値に対して予測検査値が悪化していることになる他者を特定する(ステップS506)。悪化していないと判定した場合には、当該検査値に対応する他者に関する情報は、以降の処理において使用されない。なお、検査値に対して予測検査値が悪化しているか否かの判定の仕方は、予測値算出部112の実測値と予測値とに関する判定の仕方と同じである。 Further, the comparison unit 113 compares the inspection value with the predicted inspection value. Then, the predicted value calculation unit 112 determines whether or not the predicted inspection value is worse than the inspection value. That is, the other person whose predicted test value is worse than the test value is identified (step S506). If it is determined that the test value has not deteriorated, the information about the other person corresponding to the test value is not used in the subsequent processing. The method of determining whether or not the predicted inspection value is worse than the inspection value is the same as the method of determining the actually measured value and the predicted value of the predicted value calculation unit 112.
 比較部113は、特定した他者を示すデータを趣味選択部114に出力する。なお、複数の他者が特定された場合には、比較部113は、全ての他者を示すデータを趣味選択部114に出力してもよいが、悪化の程度が利用者20の悪化の程度に近い1人または複数人の他者を示すデータを趣味選択部114に出力してもよい。 The comparison unit 113 outputs data indicating the specified other person to the hobby selection unit 114. When a plurality of others are specified, the comparison unit 113 may output data indicating all the others to the hobby selection unit 114, but the degree of deterioration is the degree of deterioration of the user 20. Data indicating one or a plurality of others close to may be output to the hobby selection unit 114.
 趣味選択部114は、比較部113から入力したデータが示す他者の趣味を、趣味保持部110から抽出する(ステップS507)。また、趣味選択部114は、趣味関連度保持部122から、趣味保持部110から抽出した趣味と関連する趣味を抽出する(ステップS508)。趣味選択部114は、趣味保持部110から抽出した趣味と当該趣味と関連する趣味とを、関連趣味として趣味提示部115に出力する。趣味選択部114は、各々の関連趣味の関連度も趣味提示部115に出力する。 The hobby selection unit 114 extracts the hobbies of others indicated by the data input from the comparison unit 113 from the hobby holding unit 110 (step S507). Further, the hobby selection unit 114 extracts a hobby related to the hobby extracted from the hobby holding unit 110 from the hobby-related degree holding unit 122 (step S508). The hobby selection unit 114 outputs the hobby extracted from the hobby holding unit 110 and the hobby related to the hobby to the hobby presentation unit 115 as a related hobby. The hobby selection unit 114 also outputs the degree of relevance of each related hobby to the hobby presentation unit 115.
 なお、関連趣味の数が多い場合には、趣味選択部114は、関連度が高い1つまたは複数の関連趣味を選択して趣味提示部115に出力してもよい。趣味保持部110から抽出された趣味の関連度は、1.0で最も高いと見なされる。 When the number of related hobbies is large, the hobby selection unit 114 may select one or a plurality of related hobbies having a high degree of relevance and output them to the hobby presentation unit 115. The relevance of the hobbies extracted from the hobby holding unit 110 is considered to be the highest at 1.0.
 なお、比較部113は、全ての他者を示すデータを趣味選択部114に出力するように構成されている場合に、比較部113が複数の他者を示すデータを趣味選択部114に出力したときに、趣味選択部114は、趣味保持部110から複数の他者の趣味を抽出する。そして、趣味選択部114は、抽出した趣味のうち、最も多くの他者が共通して持つ趣味と当該趣味と関連する趣味とを、関連趣味として趣味提示部115に出力する。健康状態が近い人は同程度で健康になりたいという願望を持つと考えられるので、最も多くの他者が共通して持つ趣味は、それらの人々が健康改善のために実行している可能性が高く、利用者20が健康改善のために持つべき趣味としてより適切であると考えられる。 When the comparison unit 113 is configured to output data indicating all others to the hobby selection unit 114, the comparison unit 113 outputs data indicating a plurality of others to the hobby selection unit 114. Occasionally, the hobby selection unit 114 extracts the hobbies of a plurality of others from the hobby holding unit 110. Then, the hobby selection unit 114 outputs, among the extracted hobbies, the hobby that most others have in common and the hobby related to the hobby to the hobby presentation unit 115 as a related hobby. People with similar health are likely to have the same desire to be healthy, so the hobby most others have in common may be that they are doing it to improve their health. It is high and is considered to be more appropriate as a hobby that the user 20 should have for improving health.
 また、比較部113から複数の他者を示すデータが入力されたときに、趣味保持部110から複数の趣味が抽出された場合に、趣味選択部114は、抽出されたすべての趣味を趣味提示部115に出力してもよい。 Further, when a plurality of hobbies are extracted from the hobby holding unit 110 when data indicating a plurality of others is input from the comparison unit 113, the hobby selection unit 114 presents all the extracted hobbies as hobbies. It may be output to unit 115.
 趣味提示部115は、関連趣味を特定可能なデータを利用者に提示する(ステップS509)。具体的には、趣味提示部115は、関連趣味を特定可能なデータを関連度とともに利用者20が有する端末装置に送信する。端末装置において、関連趣味を特定可能なデータが、関連度が高い順で画面表示される。以下、端末装置において表示される画面を提示画面という。 The hobby presentation unit 115 presents data that can identify related hobbies to the user (step S509). Specifically, the hobby presentation unit 115 transmits data that can identify the related hobby to the terminal device of the user 20 together with the degree of relevance. In the terminal device, data that can identify related hobbies are displayed on the screen in descending order of relevance. Hereinafter, the screen displayed on the terminal device is referred to as a presentation screen.
 なお、趣味選択部114は、趣味保持部110から抽出した趣味のみを趣味提示部115に出力してもよい。その場合には、趣味提示部115は、趣味保持部110から抽出した趣味のみを利用者20が有する端末装置に送信する。 Note that the hobby selection unit 114 may output only the hobbies extracted from the hobby holding unit 110 to the hobby presentation unit 115. In that case, the hobby presenting unit 115 transmits only the hobbies extracted from the hobby holding unit 110 to the terminal device owned by the user 20.
 図11は、利用者20が有する端末装置において表示される提示画面の一例を示す説明図である。図11に示す例では、3つの趣味のそれぞれに対応するアイコンが表示される。すなわち、この例では、趣味選択部114によって、関連度が高い順に3つの関連趣味が、実際に提示される関連趣味として選択されている。 FIG. 11 is an explanatory diagram showing an example of a presentation screen displayed on the terminal device of the user 20. In the example shown in FIG. 11, icons corresponding to each of the three hobbies are displayed. That is, in this example, the hobby selection unit 114 selects three related hobbies in descending order of relevance as the actually presented related hobbies.
 なお、図11に示す例では、趣味に対応するアイコンとともに、コメントすなわち推薦文も表示されるが、本実施形態では、推薦文は表示されなくてもよい。 In the example shown in FIG. 11, a comment, that is, a testimonial is displayed together with an icon corresponding to the hobby, but in the present embodiment, the testimonial may not be displayed.
 また、本実施形態では、健康行動提案装置11は、趣味保持部110から抽出された趣味と、その趣味と関連度が高い趣味とを利用者20に提示したが、すなわち、関連度が高い順で趣味を利用者20に提示したが、健康状態が改善する効果が高い順で趣味を利用者20に提示してもよい。 Further, in the present embodiment, the health behavior proposal device 11 presents the hobbies extracted from the hobby holding unit 110 and the hobbies having a high degree of relevance to the hobbies to the user 20, that is, in descending order of relevance. Although the hobbies are presented to the user 20 in the above, the hobbies may be presented to the user 20 in descending order of the effect of improving the health condition.
 健康状態が改善する効果が高い順で趣味を利用者20に提示する場合、例えば、趣味選択部114は、趣味も学習データに含められたAIを利用して得られた予測式を使用して、関連趣味を持つ人の検査項目の検査値の予測値を算出する。趣味選択部114は、予測値が検査値に対して改善しているか否か判定する。例えば、値が減少すると改善していることになる検査項目については、改善しているか否かは、減少率または減少値があらかじめ決められている所定の率または値を越えているか否かによって判定される。さらに、趣味選択部114は、検査値が改善すると判定した場合には、関連趣味を趣味提示部115に出力するとともに、改善の程度(減少率または減少値の大きさ)を趣味提示部115に出力する。なお、上記のような改善しているか否かの判定方法は一例であって、改善の程度を算出可能な他の方法が用いられてもよい。 When presenting hobbies to the user 20 in descending order of the effect of improving the health condition, for example, the hobby selection unit 114 uses a prediction formula obtained by using AI in which the hobbies are also included in the learning data. , Calculate the predicted value of the inspection value of the inspection item of the person who has a related hobby. The hobby selection unit 114 determines whether or not the predicted value is improved with respect to the inspection value. For example, for inspection items that are improved when the value decreases, whether or not they are improved is determined by whether or not the decrease rate or decrease value exceeds a predetermined rate or value that is predetermined. Will be done. Further, when the hobby selection unit 114 determines that the inspection value is improved, the hobby selection unit 114 outputs the related hobby to the hobby presentation unit 115, and outputs the degree of improvement (decrease rate or magnitude of the reduction value) to the hobby presentation unit 115. Output. The method for determining whether or not the improvement is as described above is an example, and another method capable of calculating the degree of improvement may be used.
 趣味提示部115は、関連趣味を特定可能なデータを改善の程度とともに利用者20が有する端末装置に送信する。端末装置において、関連趣味を特定可能なデータが、改善の程度が高い順で画面表示される。 The hobby presentation unit 115 transmits data that can identify related hobbies to the terminal device of the user 20 together with the degree of improvement. In the terminal device, the data that can identify the related hobby is displayed on the screen in descending order of the degree of improvement.
 なお、本実施形態では、健康行動提案装置11が、利用者20が有する端末装置にGUIの表示データ等を送信したが、端末装置が、GUIの枠組みデータや提示画面の枠組みデータ等を有するようにしてもよい。 In the present embodiment, the health behavior proposal device 11 transmits GUI display data or the like to the terminal device of the user 20, but the terminal device has GUI framework data, presentation screen framework data, or the like. You may do it.
 例えば、健康行動提案装置11は、GUIの枠組みのデータや提示画面の枠組みのデータを含み、端末装置がダウンロード可能なアプリケーションプログラムを提供する。端末装置は、あらかじめ、アプリケーションプログラムをダウンロードする。そして、端末装置においてアプリケーションプログラムが起動されると、アプリケーションプログラムは、図10に例示されたような入力画面を端末装置の表示部に表示されるように機能する。利用者20が入力欄にデータ(実測値)を入力した後、表示部に表示される所定の送信ボタンまたは完了ボタンを押下すると、アプリケーションプログラムは、入力欄に入力されたデータを健康行動提案装置11に送信する。その後、健康行動提案装置11は、上述した処理を実行する。 For example, the health behavior proposal device 11 provides an application program that includes data of the GUI framework and data of the presentation screen framework and can be downloaded by the terminal device. The terminal device downloads the application program in advance. Then, when the application program is started in the terminal device, the application program functions so that the input screen as illustrated in FIG. 10 is displayed on the display unit of the terminal device. After the user 20 inputs the data (actual measurement value) in the input field, when the predetermined send button or the completion button displayed on the display unit is pressed, the application program inputs the data input in the input field to the health behavior proposal device. Send to 11. After that, the health behavior proposal device 11 executes the above-mentioned process.
 なお、アプリケーションプログラムに、例えば「健康行動のためのお薦め趣味」といったアプリケーション名が付されることによって、利用者20は、提示される趣味が健康改善につながる蓋然性があることを認識できる。また、趣味提示部115は、図11に例示されたような提示画面において健康行動のための趣味であることが謡われたコメント(推薦文に相当)も表示されるような表示データを作成して、端末装置に送信してもよい。その場合には、利用者20は、提示された趣味が健康改善につながることをより容易に認識できる。 By adding an application name such as "recommended hobby for health behavior" to the application program, the user 20 can recognize that the presented hobby is likely to lead to health improvement. In addition, the hobby presentation unit 115 creates display data such that a comment (corresponding to a recommendation sentence) that is sung as a hobby for health behavior is also displayed on the presentation screen as illustrated in FIG. And may be transmitted to the terminal device. In that case, the user 20 can more easily recognize that the presented hobby leads to health improvement.
 以上に説明したように、本実施形態では、健康行動提案装置11は、利用者20と同様に検査項目の値が悪化すると予測される他者が持つ趣味およびその趣味に関連する趣味を利用者20に提示するので、利用者20が提示された趣味に導かれる可能性を高めることができる。なお、利用者20と同様に検査項目の値が悪化すると予測される他者は、健康行動として趣味を実践している蓋然性があると考えられる。また、検査項目の値が悪化すると予測される他者が持つ趣味に関連する趣味も、ある程度利用者20の健康改善につながると考えられる。 As described above, in the present embodiment, the health behavior proposal device 11 is a user who, like the user 20, has a hobby possessed by another person whose inspection item value is predicted to deteriorate and a hobby related to the hobby. Since it is presented to 20, it is possible to increase the possibility that the user 20 will be guided by the presented hobby. As with the user 20, it is probable that the other person whose test item value is expected to deteriorate is practicing his hobby as a healthy behavior. In addition, hobbies related to hobbies possessed by others, whose values of inspection items are expected to deteriorate, are also considered to lead to improvement of the health of the user 20 to some extent.
 また、健康行動提案装置11は、健康状態が利用者20の健康状態に近い他者の趣味を提示することによって、利用者20の健康状態を改善する願望に沿い、かつ、健康に効果のある趣味を提案することができる。なお、健康行動提案装置11を利用する者は、健康状態を改善する願望を有していると考えられる。 In addition, the health behavior suggestion device 11 is effective for health as well as in line with the desire to improve the health condition of the user 20 by presenting the hobbies of others whose health condition is close to the health condition of the user 20. Can propose hobbies. It is considered that the person who uses the health behavior proposal device 11 has a desire to improve the health condition.
 上記の各実施形態における各機能(各処理)を、CPU(Central Processing Unit )等のプロセッサやメモリ等を有するコンピュータで実現可能である。例えば、記憶装置(記憶媒体)に上記の実施形態における方法(処理)を実施するための健康行動提案プログラムを格納し、各機能を、記憶装置に格納された健康行動提案プログラムをCPUで実行することによって実現してもよい。 Each function (each processing) in each of the above embodiments can be realized by a computer having a processor such as a CPU (Central Processing Unit) or a memory. For example, a health behavior proposal program for carrying out the method (processing) in the above embodiment is stored in a storage device (storage medium), and each function is executed by the CPU in the health behavior proposal program stored in the storage device. It may be realized by.
 図12は、CPUを有する情報処理装置(コンピュータ)の一例を示すブロック図である。CPU700は、記憶装置701に格納された健康行動提案プログラムに従って処理を実行することによって、上記の各実施形態における各機能を実現する。すなわち、コンピュータは、図1,図7に示された要件入力部101、比較部103、健康行動選択部104、健康行動提示部105、実測値入力部111、予測値算出部112、比較部113、趣味選択部114および趣味提示部115の機能を実現する。 FIG. 12 is a block diagram showing an example of an information processing device (computer) having a CPU. The CPU 700 realizes each function in each of the above embodiments by executing the process according to the health behavior proposal program stored in the storage device 701. That is, the computer has the requirement input unit 101, the comparison unit 103, the health behavior selection unit 104, the health behavior presentation unit 105, the measured value input unit 111, the predicted value calculation unit 112, and the comparison unit 113 shown in FIGS. , The functions of the hobby selection unit 114 and the hobby presentation unit 115 are realized.
 記憶装置701は、例えば、非一時的なコンピュータ可読媒体(non-transitory computer readable medium )である。非一時的なコンピュータ可読媒体は、様々なタイプの実体のある記録媒体(tangible storage medium )を含む。非一時的なコンピュータ可読媒体の具体例として、磁気記録媒体(例えば、ハードディスク)、光磁気記録媒体(例えば、光磁気ディスク)、CD-ROM(Compact Disc-Read Only Memory )、CD-R(Compact Disc-Recordable )、CD-R/W(Compact Disc-ReWritable )、半導体メモリ(例えば、マスクROM、PROM(Programmable ROM)、EPROM(Erasable PROM )、フラッシュROM)がある。 The storage device 701 is, for example, a non-transitory computer readable medium. Non-temporary computer-readable media include various types of tangible storage media (tangible storage medium). Specific examples of non-temporary computer-readable media include magnetic recording media (for example, hard disks), optical magnetic recording media (for example, optical magnetic disks), CD-ROMs (Compact Disc-Read Only Memory), and CD-Rs (Compact). Disc-Recordable), CD-R / W (Compact Disc-ReWritable), semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM).
 記憶装置701は、図1,図7に示された健康行動保持部100、趣味保持部110、検査値保持部121および趣味関連度保持部122として利用可能である。 The storage device 701 can be used as the health behavior holding unit 100, the hobby holding unit 110, the test value holding unit 121, and the hobby-related degree holding unit 122 shown in FIGS. 1 and 7.
 また、健康行動提案プログラムは、様々なタイプの一時的なコンピュータ可読媒体(transitory computer readable medium )に格納されてもよい。一時的なコンピュータ可読媒体には、例えば、有線通信路または無線通信路を介して、すなわち、電気信号、光信号または電磁波を介して、健康行動提案プログラムが供給される。 In addition, the health behavior proposal program may be stored in various types of temporary computer-readable media (transitory computer readable medium). The temporary computer-readable medium is supplied with a health behavior proposal program, for example, via a wired or wireless channel, i.e., via an electrical signal, an optical signal, or an electromagnetic wave.
 メモリ702は、例えばRAM(Random Access Memory)で実現され、CPU700が処理を実行するときに一時的にデータを格納する記憶手段である。メモリ702に、記憶装置701または一時的なコンピュータ可読媒体が保持する健康行動提案プログラムが転送され、CPU700がメモリ702内の健康行動提案プログラムに基づいて処理を実行するような形態も想定しうる。 The memory 702 is realized by, for example, a RAM (Random Access Memory), and is a storage means for temporarily storing data when the CPU 700 executes a process. A mode in which a health behavior proposal program held by the storage device 701 or a temporary computer-readable medium is transferred to the memory 702 and the CPU 700 executes processing based on the health behavior proposal program in the memory 702 can be assumed.
 次に、本発明の概要を説明する。図13は、本発明による健康行動提案装置の主要部を示すブロック図である。健康行動提案装置800(例えば、健康行動提案装置10,11)は、複数の健康行動の各々を特定可能なデータを記憶する健康行動記憶部(健康行動記憶手段)801(実施形態では、健康行動保持部100または趣味保持部110で実現される。)と、健康に関して利用者を特徴づける複数の要件のいずれかに対応する健康状態の改善に貢献する健康行動を健康行動記憶部801から抽出する抽出部(抽出手段)802(実施形態では、比較部103と健康行動選択部104、または、予測値算出部112と比較部113と趣味選択部114とで実現される。)と、抽出部802が抽出した健康行動を利用者に提示する提示部(提示手段)803(実施形態では、健康行動提示部105または趣味提示部115で実現される。)とを備えている。 Next, the outline of the present invention will be described. FIG. 13 is a block diagram showing a main part of the health behavior proposal device according to the present invention. The health behavior proposal device 800 (for example, the health behavior proposal devices 10 and 11) is a health behavior storage unit (health behavior storage means) 801 (in the embodiment, a health behavior) that stores data that can identify each of a plurality of health behaviors. It is realized by the holding unit 100 or the hobby holding unit 110) and the health behavior that contributes to the improvement of the health condition corresponding to any of the plurality of requirements that characterize the user regarding health is extracted from the health behavior memory unit 801. Extraction unit (extraction means) 802 (in the embodiment, it is realized by the comparison unit 103 and the health behavior selection unit 104, or the predicted value calculation unit 112, the comparison unit 113, and the hobby selection unit 114), and the extraction unit 802. It is provided with a presentation unit (presentation means) 803 (in the embodiment, realized by the health behavior presentation unit 105 or the hobby presentation unit 115) that presents the health behavior extracted by the user to the user.
 また、健康行動提案装置800は、健康行動記憶部801(実施形態では、健康行動保持部100で実現される。)に、複数の健康行動の各々の複数の属性が健康行動に対応して記憶され、抽出部802(実施形態では、比較部103と健康行動選択部104とで実現される。)が、複数の要件と各々の健康行動の複数の属性とを比較することによって、利用者の健康状態と健康行動との関連性の程度(例えば、スコア)を算出し、関連性の程度が高い1つまたは複数の健康行動を抽出するように構成されていてもよい。 Further, in the health behavior suggestion device 800, the health behavior memory unit 801 (in the embodiment, realized by the health behavior holding unit 100) stores a plurality of attributes of each of the plurality of health behaviors corresponding to the health behaviors. Then, the extraction unit 802 (in the embodiment, realized by the comparison unit 103 and the health behavior selection unit 104) of the user by comparing a plurality of requirements with a plurality of attributes of each health behavior. It may be configured to calculate the degree of association between health status and health behavior (eg, score) and extract one or more health behaviors with a high degree of association.
 また、健康行動提案装置800は、健康行動記憶部801(実施形態では、趣味保持部110で実現される。)に、複数の趣味が、趣味を持つ人に対応して記憶され、健康に関する検査における複数の検査項目の検査値を、複数の人の各々に対応して記憶する検査値記憶部(実施形態では、検査値保持部121で実現される。)とを含み、抽出部802(実施形態では、予測値算出部112と比較部113と趣味選択部114とで実現される。)が、利用者の健康に関する検査における測定値(例えば、実測値)から将来の値を予測する測定値予測部(実施形態では、予測値算出部112で実現される。)を含み、測定値予測部が予測した将来の値が測定値に対して悪化する検査項目を特定し、特定された検査項目の検査値が悪化することになる人(具体的には、人を表すデータ)を検査値記憶部から抽出し、抽出された人(具体的には、抽出されたデータが表す人)が持つ趣味を健康行動記憶部801から抽出し、提示部803が、健康行動としての趣味を利用者に提示するように構成されていてもよい。 Further, in the health behavior suggestion device 800, a plurality of hobbies are stored in the health behavior memory unit 801 (in the embodiment, the hobby holding unit 110) corresponding to a person having a hobby, and a health-related inspection is performed. Including the inspection value storage unit (in the embodiment, realized by the inspection value holding unit 121) that stores the inspection values of the plurality of inspection items in the above, the extraction unit 802 (implementation). In the form, the predicted value calculation unit 112, the comparison unit 113, and the hobby selection unit 114) are measured values for predicting future values from the measured values (for example, actually measured values) in the user's health inspection. Including the prediction unit (in the embodiment, it is realized by the prediction value calculation unit 112), the inspection item in which the future value predicted by the measurement value prediction unit deteriorates with respect to the measurement value is specified, and the specified inspection item is specified. A person whose test value will deteriorate (specifically, data representing a person) is extracted from the test value storage unit, and the extracted person (specifically, a person represented by the extracted data) has it. The hobby may be extracted from the health behavior memory unit 801 and the presentation unit 803 may be configured to present the hobby as a health behavior to the user.
 以上、本実施形態および実施例を参照して本願発明を説明したが、本願発明は上記実施形態および実施例に限定されるものではない。本願発明の構成や詳細には、本願発明のスコープ内で当業者が理解し得る様々な変更をすることができる。 Although the present invention has been described above with reference to the present embodiment and examples, the present invention is not limited to the above embodiments and examples. Various changes that can be understood by those skilled in the art can be made within the scope of the present invention in terms of the structure and details of the present invention.
 この出願は、2020年4月3日に出願された日本特許出願2020-067402を基礎とする優先権を主張し、その開示の全てをここに取り込む。 This application claims priority based on Japanese patent application 2020-067402 filed on April 3, 2020, and incorporates all of its disclosures herein.
 10,11 健康行動提案装置
 20  利用者
 100 健康行動保持部
 101 要件入力部
 103 比較部
 104 健康行動選択部
 105 健康行動提示部
 110 趣味保持部
 111 実測値入力部
 112 予測値算出部
 113 比較部
 114 趣味選択部
 115 趣味提示部
 121 検査値保持部
 122 趣味関連度保持部
 700 CPU
 701 記憶装置
 702 メモリ
 800 健康行動提案装置
 801 健康行動記憶部
 802 抽出部
 803 提示部
10, 11 Health behavior proposal device 20 User 100 Health behavior maintenance unit 101 Requirement input unit 103 Comparison unit 104 Health behavior selection unit 105 Health behavior presentation unit 110 Hobby retention unit 111 Measured value input unit 112 Predicted value calculation unit 113 Comparison unit 114 Hobby selection unit 115 Hobby presentation unit 121 Inspection value holding unit 122 Hobby relevance holding unit 700 CPU
701 Storage device 702 Memory 800 Health behavior proposal device 801 Health behavior storage unit 802 Extraction unit 803 Presentation unit

Claims (10)

  1.  利用者に健康行動を提案する健康行動提案装置であって、
     複数の健康行動の各々を特定可能なデータを記憶する健康行動記憶手段と、
     健康に関して前記利用者を特徴づける複数の要件のいずれかに対応する健康状態の改善に貢献する健康行動を前記健康行動記憶手段から抽出する抽出手段と、
     前記抽出手段が抽出した健康行動を前記利用者に提示する提示手段と
     を備えた健康行動提案装置。
    It is a health behavior proposal device that proposes health behavior to users.
    A health behavior memory means that stores data that can identify each of multiple health behaviors,
    An extraction means for extracting from the health behavior memory means a health behavior that contributes to the improvement of the health condition corresponding to any of the plurality of requirements that characterize the user regarding health, and an extraction means.
    A health behavior proposal device including a presentation means for presenting the health behavior extracted by the extraction means to the user.
  2.  前記健康行動記憶手段には、複数の健康行動の各々の複数の属性が健康行動に対応して記憶され、
     前記抽出手段は、前記複数の要件と各々の前記健康行動の前記複数の属性とを比較することによって、前記利用者の健康状態と前記健康行動との関連性の程度を算出し、前記関連性の程度が高い1つまたは複数の健康行動を抽出する
     請求項1記載の健康行動提案装置。
    In the health behavior memory means, a plurality of attributes of each of the plurality of health behaviors are stored corresponding to the health behaviors.
    The extraction means calculates the degree of relevance between the user's health condition and the health behavior by comparing the plurality of requirements with the plurality of attributes of each of the health behaviors, and the relevance. The health behavior proposal device according to claim 1, wherein one or a plurality of health behaviors having a high degree of
  3.  前記提示手段は、前記抽出手段が抽出した健康行動に関する推薦文を前記利用者に提示する
     請求項1または請求項2記載の健康行動提案装置。
    The health behavior proposal device according to claim 1 or 2, wherein the presentation means presents a recommendation sentence regarding the health behavior extracted by the extraction means to the user.
  4.  前記健康行動記憶手段には、複数の趣味が、趣味を持つ人に対応して記憶され、
     健康に関する検査における複数の検査項目の検査値を、複数の人の各々に対応して記憶する検査値記憶手段を含み、
     前記抽出手段は、
     前記利用者の健康に関する検査における測定値から将来の値を予測する測定値予測手段を含み、
     前記測定値予測手段が予測した将来の値が前記測定値に対して悪化する検査項目を特定し、特定された検査項目の検査値が悪化することになる人を前記検査値記憶手段から抽出し、
     抽出された人が持つ趣味を前記健康行動記憶手段から抽出し、
     前記提示手段は、健康行動としての趣味を前記利用者に提示する
     請求項1記載の健康行動提案装置。
    In the health behavior memory means, a plurality of hobbies are memorized corresponding to a person having a hobby.
    Including a test value storage means for storing test values of a plurality of test items in a health-related test corresponding to each of a plurality of people.
    The extraction means
    Including a measured value predicting means for predicting a future value from a measured value in the user's health test.
    An inspection item in which the future value predicted by the measured value predicting means deteriorates with respect to the measured value is specified, and a person whose inspection value of the specified inspection item deteriorates is extracted from the inspection value storage means. ,
    The hobbies of the extracted person are extracted from the above-mentioned health behavior memory means, and
    The health behavior proposal device according to claim 1, wherein the presentation means presents a hobby as a health behavior to the user.
  5.  前記健康行動記憶手段に記憶されている趣味の間の関連度を記憶する関連度記憶手段をさらに備え、
     前記抽出手段は、前記健康行動記憶手段から抽出された趣味に対して関連度が高い趣味を前記関連度記憶手段から抽出し、
     前記提示手段は、前記関連度記憶手段から抽出された趣味も提示する
     請求項4記載の健康行動提案装置。
    Further provided with a relevance memory means for storing the relevance between hobbies stored in the health behavior memory means.
    The extraction means extracts hobbies having a high degree of relevance to the hobbies extracted from the health behavior memory means from the relevance memory means.
    The health behavior proposing device according to claim 4, wherein the presenting means also presents a hobby extracted from the relevance storage means.
  6.  利用者に健康行動を提案する健康行動提案方法であって、
     健康に関して前記利用者を特徴づける複数の要件のいずれかの要件に対応する健康状態の改善に貢献する健康行動を、複数の健康行動の各々を特定可能なデータを記憶する健康行動記憶手段から抽出し、
     抽出された健康行動を前記利用者に提示する
     健康行動提案方法。
    It is a health behavior proposal method that proposes health behavior to users.
    Health behaviors that contribute to the improvement of health status corresponding to any of the requirements that characterize the user regarding health are extracted from the health behavior memory means that stores data that can identify each of the plurality of health behaviors. death,
    A health behavior proposal method for presenting the extracted health behavior to the user.
  7.  前記健康行動記憶手段には、複数の健康行動の各々の複数の属性が健康行動に対応して記憶され、
     前記複数の要件と各々の前記健康行動の前記複数の属性とを比較することによって、前記利用者の健康状態と前記健康行動との関連性の程度を算出し、前記関連性の程度が高い1つまたは複数の健康行動を抽出する
     請求項6記載の健康行動提案方法。
    In the health behavior memory means, a plurality of attributes of each of the plurality of health behaviors are stored corresponding to the health behaviors.
    By comparing the plurality of requirements with the plurality of attributes of each of the health behaviors, the degree of association between the user's health condition and the health behavior is calculated, and the degree of association is high 1. The health behavior proposal method according to claim 6, wherein one or a plurality of health behaviors are extracted.
  8.  抽出された健康行動に関する推薦文を前記利用者に提示する
     請求項6または請求項7記載の健康行動提案方法。
    The health behavior proposal method according to claim 6 or 7, wherein the extracted recommendation text regarding the health behavior is presented to the user.
  9.  前記健康行動記憶手段には、複数の趣味が、趣味を持つ人に対応して記憶され、
     前記利用者の健康に関する検査における測定値から将来の値を予測し、
     前記測定値予測手段が予測した将来の値が前記測定値に対して悪化する検査項目を特定し、特定された検査項目の検査値が悪化することになる人を、健康に関する検査における複数の検査項目の検査値を複数の人の各々に対応して記憶する検査値記憶手段から抽出し、
     抽出された人が持つ趣味を前記健康行動記憶手段から抽出し、
     前記提示手段は、健康行動としての趣味を前記利用者に提示する
     請求項6記載の健康行動提案方法。
    In the health behavior memory means, a plurality of hobbies are memorized corresponding to a person having a hobby.
    Predict future values from the measured values in the user's health test,
    A plurality of tests in a health test identify a person whose future value predicted by the measured value predicting means deteriorates with respect to the measured value, and a person whose test value of the specified test item deteriorates. Extract the inspection value of the item from the inspection value storage means that stores it corresponding to each of a plurality of people,
    The hobbies of the extracted person are extracted from the above-mentioned health behavior memory means, and
    The health behavior proposal method according to claim 6, wherein the presentation means presents a hobby as a health behavior to the user.
  10.  コンピュータで実行されるときに、
     健康に関して利用者を特徴づける複数の要件のいずれかの要件に対応する健康状態の改善に貢献する健康行動を、複数の健康行動の各々を特定可能なデータを記憶する健康行動記憶手段から抽出する処理と、
     抽出された健康行動を前記利用者に提示する処理と
     を実行させる
     健康行動提案プログラム
     を記録したコンピュータ読み取り可能な記録媒体。
    When running on a computer
    Extract health behaviors that contribute to improving health status that correspond to one of the multiple requirements that characterize users with respect to health from health behavior memory means that store identifiable data for each of the multiple health behaviors. Processing and
    A computer-readable recording medium that records a health behavior proposal program that executes the process of presenting the extracted health behavior to the user.
PCT/JP2020/047345 2020-04-03 2020-12-18 Health behavior proposal device and health behavior proposal method WO2021199520A1 (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007172060A (en) * 2005-12-19 2007-07-05 Oki Electric Ind Co Ltd Electronic commerce system
WO2017204233A1 (en) * 2016-05-23 2017-11-30 Necソリューションイノベータ株式会社 Health condition prediction device, health condition prediction method, and computer-readable recording medium
JP6376628B1 (en) * 2017-09-29 2018-08-22 コージーベース株式会社 Stress reduction plan proposal system, stress reduction plan proposal method, and program

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007172060A (en) * 2005-12-19 2007-07-05 Oki Electric Ind Co Ltd Electronic commerce system
WO2017204233A1 (en) * 2016-05-23 2017-11-30 Necソリューションイノベータ株式会社 Health condition prediction device, health condition prediction method, and computer-readable recording medium
JP6376628B1 (en) * 2017-09-29 2018-08-22 コージーベース株式会社 Stress reduction plan proposal system, stress reduction plan proposal method, and program

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