JP7420447B2 - Health behavior suggestion device and health behavior suggestion method - Google Patents

Description

The present invention relates to a healthy behavior proposing device and a healthy behavior proposing method that encourage users to change their health behaviors.

Improvements in lifestyle habits are required to prevent lifestyle-related diseases. Health behavior theory is an idea that describes the factors that increase the likelihood that people will engage in healthful behaviors. Health behaviors, which correspond to the implementation of lifestyle improvement measures, are behavioral patterns associated with maintaining, restoring and improving health.

For people who are not very health conscious, it is not easy to review their lifestyle habits. Many people are unable to tackle lifestyle changes because they lack ideas on how to specifically change their lifestyle habits. Even if suggestions such as ``You should exercise'' or ``You should drink less frequently'' are made to guide such people toward healthy behavior, they may find it difficult to follow the suggested behavior. do not have.

In general, people tend to think of things in terms of either or. Proposals like the one above lead people to an either-or way of thinking. That is, a high threshold is set for the person who receives the suggestion to start healthy behavior, making it difficult for the person who receives the suggestion to start healthy behavior (for example, see Non-Patent Document 1).

Patent Document 1 describes a health condition prediction method that uses actual lifestyle data for each individual and test values of preset test items as training data to learn a model that shows the relationship between lifestyle habits and test values. The equipment is described. The health condition prediction device described in Patent Document 1 uses actual data of the user's lifestyle and a model to predict the user's future test values. The health condition prediction device then presents future test values to the user. Further, Patent Document 1 describes that a health condition prediction device presents advice regarding health behavior to a user.

International Publication No. 2017/204233

Koji Takenaka, “Basics of Health Behavior Theory”, Diabetes, Japan Diabetes Society, July 2009, Vol. 52, No. 7, p.507 - P.510

However, specific motivation is more effective in guiding subjects toward healthy behavior (see Non-Patent Document 1). The health condition prediction device described in Patent Document 1 presents advice regarding 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 the advice can lead the user to take health actions.

An object of the present invention is to provide a health behavior proposing device and a health behavior proposing method that increase the possibility that a subject will be guided to healthy behavior.

A health behavior suggestion device according to the present invention is a health behavior suggestion device that proposes health behaviors to a user, and includes a health behavior storage means that stores data that can identify each of a plurality of health behaviors, and a health behavior suggestion device that proposes health behaviors to a user regarding health. an extraction means for extracting from a health behavior memory means a health behavior that contributes to improving a health condition that corresponds to one of a plurality of requirements for characterizing; a presentation means for presenting to a user the health behavior extracted by the extraction means ; test value storage means for storing test values of a plurality of test items in a test related to a plurality of people in correspondence with each of the plurality of people, and the health behavior storage means stores a plurality of hobbies corresponding to the persons having the hobbies. The extracting means includes a measured value prediction means for predicting a future value from the measured value in a test related to the user's health, and the extraction means includes a measured value prediction means for predicting a future value from a measured value in a test related to the user's health, and the extraction means includes a test value in which the future value predicted by the measured value predicting means is worse than the measured value. The item is specified, the person whose test value for the specified test item worsens is extracted from the test value storage means, the hobbies of the extracted person are extracted from the health behavior storage means, and the presentation means is It is characterized by presenting hobbies as actions to users .

A health behavior proposal method according to the present invention is a health behavior proposal method that is executed by a health behavior proposal device that proposes health behaviors to a user, and the health behavior proposal device evaluates a plurality of requirements that characterize the user regarding health. A health behavior that contributes to improvement of the health condition corresponding to any one of the health behaviors is extracted from a health behavior storage means that stores data that can identify each of a plurality of health behaviors , and the health behavior proposal device The health behavior storage means stores a plurality of hobbies corresponding to the person who has the hobby, and the health behavior suggestion device predicts future values from the measured values in the user's health tests. Then, the health behavior proposal device identifies test items whose predicted future values will worsen compared to the measured values, and the health behavior proposal device identifies people whose test values for the identified test items will worsen. The test values of a plurality of test items in a health-related test are extracted from a test value storage means that stores the test values corresponding to each of a plurality of people, and the health behavior proposal device extracts the hobbies of the extracted people from the health behavior storage means. The health behavior proposing device is characterized in that it presents hobbies as health behaviors to the user .

The health behavior suggestion program according to the present invention allows a computer to select health behaviors that contribute to improving health conditions that correspond to any of a plurality of health-related requirements that characterize the user, and data that can identify each of the plurality of health behaviors. This is a health behavior suggestion program for executing an extraction process for extracting from a health behavior memory means that stores a health behavior, and a presentation process for presenting the extracted health behavior to a user, the health behavior memory means having a plurality of hobbies. are memorized in correspondence with people who have hobbies, and through the extraction process, future values are predicted from the measured values in tests related to the user's health, and the predicted future values are test items that are worse than the measured values. and extracting a person whose test value for the identified test item will deteriorate from a test value storage means that stores test values for a plurality of test items in a health-related test corresponding to each of the plurality of people. The present invention is characterized in that the hobbies of the extracted person are extracted from the health behavior storage means, and the hobbies as health behaviors are presented to the user in the presentation process .

According to the present invention, it is possible to increase the possibility that a subject will be guided to healthy behavior.

FIG. 1 is a block diagram illustrating an example of the configuration of a health behavior proposing device according to a first embodiment. FIG. 3 is an explanatory diagram illustrating an example of data and attached information that can identify a health behavior and are stored in a health behavior storage unit. It is an explanatory diagram showing an example of scoring. 3 is a flowchart showing the operation of the health behavior proposing device of the first embodiment. FIG. 2 is an explanatory diagram showing an example of an input screen displayed on a terminal device owned by a user in the first embodiment. FIG. 3 is an explanatory diagram showing an example of a presentation screen displayed on a terminal device owned by a user in the first embodiment. FIG. 2 is a block diagram illustrating an example of the configuration of a health behavior proposing device according to a second embodiment. FIG. 2 is an explanatory diagram for explaining the degree of association between hobbies. It is a flowchart which shows the operation of the health behavior suggestion device of a 2nd embodiment. FIG. 7 is an explanatory diagram showing an example of an input screen displayed on a terminal device owned by a user in the second embodiment. FIG. 7 is an explanatory diagram showing an example of a presentation screen displayed on a terminal device owned by a user in the second embodiment. FIG. 1 is a block diagram illustrating an example of an information processing device having a CPU. FIG. 2 is a block diagram showing the main parts of the health behavior proposing device.

Embodiments of the present invention will be described below with reference to the drawings.

Embodiment 1.
FIG. 1 is a block diagram showing an example of the configuration of a health behavior proposing device according to a first embodiment. The health behavior proposal device 10 shown in FIG. 1 includes a health behavior holding section 100, a requirement input section 101, a comparison section 103, a health behavior selection section 104, and a health behavior presentation section 105.

The health behavior storage unit 100 stores in advance data that can identify a plurality of health behaviors together with attached information (attached data) such as attributes (specifically, data indicating attributes). That is, the health behavior storage unit 100 stores data that can identify a plurality of health behaviors and attached data.

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 . The requirements include user attributes such as "gender," "single/married," "presence of children," and "place of residence," as well as "current hobbies" and "past hobbies." Related to user preferences, user situations such as “how to spend weekends” and “current location”, and issues such as “health issues” and “desiring free health activities/desiring paid health activities” There is information to do. Therefore, the requirements can also be said to be information that characterizes the user regarding health. Below, each requirement may be referred to as an item.

Some or all of the requirements related to health behavior may not be input directly from the user 20, but may be obtained from other media. When the health behavior suggestion device 10 inputs requirements related to the health behavior of the user 20 from a terminal device that the user 20 has and includes at least a display section and an input section, the requirement input section 101 inputs requirements related to the health behavior of the user 20 via a communication line. This includes a receiving function that receives data from a terminal device. Further, when the input of requirements is implemented using a GUI (Graphical User Interface), the requirement input unit 101 includes a transmission function that transmits display data on the input screen to the terminal device. Note that a personal computer, a smartphone, a tablet terminal, etc. can be used as the terminal device.

The comparison unit 103 reads out the attributes associated with the health behavior from the health behavior storage 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 data that can identify the health behavior selected by the health behavior selection unit 104 to the user together with attached information. When the health behavior proposal device 10 presents data that can identify health behavior to the user 20 via a terminal device owned by the user 20, the health behavior presentation unit 105 transmits the data to the terminal device. Contains sending functionality. The transmission function of the health behavior presentation section 105 may also be used as the transmission function of the requirement input section 101 described above.

FIG. 2 is an explanatory diagram showing an example of data and attached information that can identify health behaviors and are stored in the health behavior storage unit 100. FIG. 2 illustrates, as health behaviors, the behaviors themselves and facilities where the behaviors can be performed. Examples of activities include cycling and outdoor activities. An example of the facility is ABC Gym. In the present embodiment, facilities where the behavior can be performed are also included in the health behavior. Note that the health behavior is not limited to the behavior and facilities illustrated in FIG. 2 .

In the example shown in FIG. 2, the health behavior storage unit 100 stores data that can identify a plurality of health behaviors (in the example shown in FIG. 2, names of health behaviors) together with item numbers. Further, the health behavior storage unit 100 stores attached information corresponding to each health behavior.

In the example shown in FIG. 2, the attached information includes attribute, comment, and location information. The attributes include category, accompanying information, and improvement effect. Note that the example shown in FIG. 2 is just an example, and the attributes are not limited thereto. In the example shown in FIG. 2, the attached information further includes a comment and a location. The comment is, for example, a recommendation (catchphrase) by an experienced person who has practiced health behavior. Location indicates where the health behavior is provided. Note that there are some health behaviors that do not include location information. Hereinafter, each attribute (particularly accompanying information and improvement effect) may be referred to as an item. Furthermore, the way the attached information is classified (in this embodiment, it is classified into attributes, comments, and locations) is one example, and other classification methods can be adopted.

The improvement effects and comments in the attached information are created based on, for example, the results of a questionnaire collected from people who have experience in practicing health behaviors. For example, when the percentage of people who answered "I have increased" with respect to "weight" exceeds a predetermined value, data of "Yes" is set for "My weight has increased." Data is similarly set for other items. Further, the improvement effect may be set to content certified by a predetermined authoritative organization regarding health behavior. In addition, the accompanying information in the attached information can be created based on the questionnaire results collected from people with experience in practicing health behaviors, but the administrator of the health behavior suggestion device or the builder of the health behavior suggestion device may need to create it based on common knowledge. The contents of the accompanying information may be set based on the information. The fact that the administrator or constructor 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 storage unit 100, and converts the comparison result into a score.

FIG. 3 is an explanatory diagram showing an example of scoring. In the example shown in FIG. 3, the health behavior is cycling. On the left side of FIG. 3, cycling attribute items are illustrated. On the right side of FIG. 3, items of requirements related to health behavior are illustrated.

The comparison unit 103 compares each requirement item with each cycling attribute item. When the requirement items and the cycling attribute items are represented by text data, for example, the comparison unit 103 compares each requirement item that is “Yes” with the cycling attribute that is “Yes”. Extract keywords from each item. Taking "weight as an issue" shown in FIG. 3 as an example, "weight" is extracted as a keyword. Furthermore, in the case of "Improved weight" as an example, "weight" is extracted as a keyword. If there is a cycling attribute item from which a keyword matching the keyword extracted from the requirement item is extracted, the comparison unit 103 increases the cycling score by, for example, +1. When the comparison unit 103 completes the keyword comparison as described above for all the requirement items that are marked “Yes”, the comparison unit 103 converts the scores at that time into the final health behavior (in this example, cycling) score. shall be.

Note that the health behavior score indicates the degree of association with the health condition of the user 20. The higher the score, that is, the more score values, the higher the relevance.

It should be noted that it should be determined that the keywords of the requirement item "Even if you pay money" and the cycling attribute item "It costs money" match. For example, by providing the comparison unit 103 with a thesaurus dictionary in which “money” and “cost” are set as matching keywords, the comparison unit 103 can determine that “money” and “cost” are matching keywords. It can be determined that it is a keyword.

Note that the comparison unit 103 performing comparison based on keywords is an example. For example, items that can be input are coded in advance (for example, “weight is an issue” = 001), and the requirement input unit 101 outputs codes corresponding to items for which “Yes” was actually input to the comparison unit 103. You may also do so. In that case, a code is assigned in advance to the inputtable attribute item of health behavior. For example, 001 is assigned to "weight improvement". Then, the code as an item of the health behavior attribute is stored in the health behavior storage unit 100. The comparison unit 103 reads the code of the health behavior attribute item and compares the code of the requirement item with the code of the health behavior attribute item.

Next, the operation of the health behavior proposing device 10 will be explained with reference to the flowchart of FIG. The user 20 transmits requirements related to health behavior to the health behavior proposal device 10 from his/her own terminal device, and causes the health behavior proposal device 10 to present the health behavior via the terminal device including at least a display section and an input section. Let us take as an example the case of receiving.

The requirement input unit 101 inputs requirements related to the health behavior of the user 20 from the user 20 (step S401). When inputting requirements related to health behavior via the GUI, the requirement input unit 101 transmits display data for displaying a screen for input (input screen) to the terminal device of the user 20, for example. do.

An input screen as illustrated in FIG. 5 is displayed on the terminal device of the user 20. The screen displays each item of requirements related to health behavior and the input field or radio button corresponding to the item. The user 20 inputs data about himself or herself into the input field or selects a corresponding radio button. Note that the input field is preferably configured in a pull-down menu format. The data entered in the input field and the selection results from the radio buttons are transmitted to the health behavior proposing device 10. When using the input screen as illustrated in FIG. 5, the requirement input unit 101 inputs the requirements by receiving the data input to the terminal device and the selection result in the process of step S401.

Note that the method of inputting the requirements via the GUI is just one example, and other methods may be used, for example, when the user inputs text or text to the terminal device in response to an image or voice question from the health behavior proposal device 10 via the terminal device. It is also possible to use a method of inputting answers by voice.

The comparison unit 103 reads out attributes associated with the health behavior from the health behavior storage unit 100 (step S402). The comparison unit 103 then compares the requirements obtained through the requirement input unit 101 with the read attributes, and calculates a health behavior score (step S403). The method of comparison is as already explained. Furthermore, the method of calculating the health behavior score is as already explained in the scoring of the comparison results.

Once the processes of steps S402 and S403 have been executed for all the health behaviors stored in the health behavior storage unit 100, the process moves 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 storage unit 100.

In step S405, the health behavior selection unit 104 selects one or more health behaviors from among all the health behaviors in order of highest score.

Then, the health behavior presentation unit 105 reads the attached information (for example, a comment) of the health behavior selected by the health behavior selection unit 104 from the health behavior storage unit 100. The health behavior presentation unit 105 presents data that can identify health behavior to the user together with attached information (step S406). Specifically, the health behavior presentation unit 105 transmits data that can identify the health behavior together with attached information to the terminal device possessed by the user 20. 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 will be referred to as the presentation screen.

FIG. 6 is an explanatory diagram showing an example of a presentation screen displayed on a terminal device owned by the user 20. In the example shown in FIG. 6, icons corresponding to each of three health behaviors are displayed. That is, in this example, three health behaviors are selected by the health behavior selection unit 104 in descending order of their scores. Further, in the example shown in FIG. 6, a comment, that is, a recommendation sentence is also displayed together with the icon corresponding to the health behavior.

In the present embodiment, the comparison unit 103 calculates the score for all the health behaviors stored in the health behavior storage unit 100, but the score may be calculated for some health behaviors. . As an example, if gender is included in the requirements related to health behavior of the user 20, the comparison unit 103 calculates a score for the health behavior that includes the corresponding gender as an attribute.

Further, the health behavior proposing device 10 may reflect information on the location of the supplementary information of the health behavior in calculating the score. For example, assume that the health behavior proposing device 10 is able to obtain location information of a terminal device, or that information regarding a location (for example, data on the place of residence illustrated in FIG. 5) is input to the terminal device. In that case, when calculating the score, the comparing unit 103 determines that the content of the place (i.e., location) in the health behavior with the attached information of "location" is different from the information from the terminal device (location information or information about the location). Check whether the location matches the indicated location or is close to the location indicated by the information from the terminal device. If both locations match or are close to each other, the comparison unit 103 increases the health behavior score.

Furthermore, in the present embodiment, the health behavior proposal device 10 transmits the GUI display data etc. to the terminal device owned by the user 20, but it is assumed that the terminal device has GUI framework data, presentation screen framework data, etc. You can also do this.

For example, the health behavior proposal device 10 includes data on a GUI framework (GUI in a state where no data is input) and data on a presentation screen framework (a presentation screen in a state where text and icons are not displayed), which the terminal device downloads. Provide a possible application program (health behavior suggestion application program). The terminal device downloads the application program in advance. Then, when the application program is started on the terminal device, the application program functions to display an input screen as illustrated in FIG. 5 on the display section of the terminal device. After the user 20 enters data in the input field and makes a selection using the radio buttons, when the user 20 presses a predetermined send button or completion button displayed on the display section, the application program displays the data entered in the input field and the radio button. The button selection results are transmitted to the health behavior proposing device 10. After that, the health behavior proposing device 10 executes the above-described process.

Note that if the user 20 has set the terminal device so that another person can obtain the location information of the terminal device, the health behavior proposal device 10 can easily obtain the location information of the terminal device via the application program. Information can be obtained.

As explained above, in the present embodiment, the health behavior proposing device 10 presents the user 20 with health behaviors that are compatible with the attributes of the user 20, the issues recognized by the user 20, etc. The possibility that the person 20 will be guided to the presented health behavior can be increased.

Furthermore, in this embodiment, comments as recommendations by, for example, people who have practiced the health behavior are also presented to the user 20, thereby increasing the possibility that the user 20 will be guided to the presented health behavior.

Embodiment 2.
In the second embodiment, hobbies are focused on as a health behavior. Further, as information or requirements characterizing the user regarding health, the values (measured values, ie, actual values) of each test item in a health-related examination such as a medical checkup are used. Hereinafter, the test items of health-related tests such as medical checkups will be simply referred to as test items.

FIG. 7 is a block diagram illustrating an example of the configuration of a health behavior proposing device according to the second embodiment. The health behavior proposal device 11 shown in FIG. 7 includes a hobby holding section 110, an actual value input section 111, a predicted value calculation section 112, a comparison section 113, a hobby selection section 114, and a hobby presentation section 115. The health behavior proposing device 11 further includes a test value holding section 121 and a hobby relevance degree holding section 122.

The hobby storage unit 110 stores in advance data that can identify each of a plurality of hobbies, corresponding to the person who has the hobby. That is, the hobby storage unit 110 stores data that allows identification of a plurality of hobbies, corresponding to a person who has the hobbies. Hobbies are preferably activities related to maintaining, restoring 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 may also be hobbies provided from a database external to the health behavior proposal device 11. good.

The test value holding unit 121 stores in advance the values of each test item (test values) of a large number of people. That is, the test value holding unit 121 stores test values of a plurality of test items in a health-related test, corresponding to each of a large number of people. The test value is a performance value collected from a user of the health behavior proposal device 11 or a performance value provided from a database external to the health behavior proposal device 11.

The degree of association between hobbies stored in the hobby holding section 110 is stored in advance in the hobby association degree holding section 122. That is, the hobby relevance storage unit 122 stores the relevance between hobbies. The degree of association stored in the hobby association degree holding unit 122 is a degree of association determined in advance based on the hobbies collected from the users of the health behavior suggestion device 11, but the degree of association stored in the hobby association degree storage unit 122 is a degree of association determined in advance based on the hobbies collected from the users of the health behavior suggestion device 11. The degree of association may be determined in advance based on the provided hobby. It should be noted that the hobby association degree storage section 122 is, of course, also substantially set with data that can identify a person who has a hobby in which the degree of association with the hobby stored in the hobby storage section 110 is stored.

The degree of association is the degree to which people have multiple types of hobbies in common. For example, we can calculate 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''). The degree of relevance can be determined as follows. As an example, the number of people (sample size) who have one hobby (for example, "driving") is 1000, and among them, there are 1000 people who have another hobby (for example, "cycling"). Assuming that the number of people is 100, the degree of association between one hobby and another hobby is 0.1.

When the degree of association is equal to or greater than a predetermined value, the degree of association is determined to be high.

FIG. 8 is an explanatory diagram for briefly explaining the degree of association between hobbies. In the example shown in FIG. 8, among three people, Person B, Person C, and Person D, Person B has hobbies of "driving" and "cycling." Person C has hobbies of "futsal," "driving," and "cycling." Person D has hobbies of "driving" and "outdoor activities."

The number of people who have the hobby of "driving" is three. Two of them have a hobby of cycling. Therefore, the degree of association between "driving" and "cycling" is 2/3=0.67. Among the three people, only one person 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 association between "driving" and "outdoor activities" is 1/3 = 0.33.

For example, if 0.5 is used as the predetermined value for determining whether the degree of association is high, it can be said that the degree of association between "driving" and "cycling" is high. When 0.3 is used as the predetermined value, it can be said that the degree of association between "driving" and "futsal" is high, and the degree of association between "driving" and "outdoor activities" is also high.

Note that it is preferable that the degree of association with 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 objects of the calculation of the degree of association.

The hobby association degree holding unit 122 stores other hobbies (for example, "driving", "cycling", "futsal", and "outdoor activities" in the example shown in FIG. 8) corresponding to each of the plurality of hobbies (in the example shown in FIG. 8, "driving", "cycling", "futsal", and "outdoor activities"). The degrees of association of "cycling," "futsal," and "outdoor activities" with respect to "driving" are set.

The actual measurement value input unit 111 inputs the actual measurement values of each test item of the user 20 from the user 20 . A part or all of the actual measurement values for each inspection item may not be directly input by the user 20, but may be obtained from another medium. When the health behavior suggestion device 11 inputs actual measured values of test items of the user 20 from a terminal device that the user 20 has and includes at least a display section and an input section, the actual measured value input section 111 inputs actual measured values of test items of the user 20 through a communication line. This includes a receiving function that receives data from a terminal device. Further, when inputting actual measured values of inspection items is realized using a GUI (Graphical User Interface), the actual measured value input unit 111 includes a transmission function that transmits display data on the input screen to the terminal device.

The predicted value calculation unit 112 predicts the future value of each test item. That is, the predicted value calculation unit 112 calculates the predicted value of each inspection item.

The comparison unit 113 determines whether the predicted value calculated by the predicted value calculation unit 112 is worse than the actual measured value. Furthermore, the comparing unit 113 predicts the future value of the test value stored in the test value holding unit 121 for the same test item as the test item for which it has been determined that the predicted value has deteriorated. That is, the comparison unit 113 calculates a predicted test value. Further, the comparison unit 113 determines whether the predicted test value is worse than the test value. The comparison unit 113 compares the person corresponding to the test item for which the predicted test value has been determined to have worsened (specifically, the data representing the person corresponding to the test item stored in the test value storage unit 121). Identify. That is, the comparison unit 113 identifies people whose test values are predicted to deteriorate.

The hobby selection unit 114 reads out the hobbies of the person identified by the comparison unit 113 from the hobby storage unit 110. The hobby selection unit 114 outputs the read hobby to the hobby presentation unit 115.

The hobby presenting unit 115 refers to the degree of association stored in the hobby degree holding unit 122 and reads out hobbies related to the hobby input from the hobby selection unit 114 from the hobby holding unit 110. Note that it is also possible for the hobby presentation unit 115 to recognize related hobbies from data stored in the hobby relevance degree storage unit 122. Then, the hobby presentation unit 115 presents the user 20 with data that allows identification of the hobby input from the hobby selection unit 114 and data that allows identification of a hobby related to the hobby. When the health behavior proposal device 11 presents data that can identify hobbies to the user 20 via a terminal device owned by the user 20, the hobby presentation unit 115 has a transmission function to transmit the data to the terminal device. include. The transmission function of the hobby presentation section 115 may also be used as the transmission function of the actual measured value input section 111 described above.

Hereinafter, the hobbies possessed by the person identified by the comparison unit 113 and the hobbies related to the hobbies will be referred to as related hobbies. That is, the related hobbies include hobbies possessed by the person identified by the comparison unit 113 and hobbies related to the hobbies. Note that the hobby related to the first hobby means a hobby that is highly related to the first hobby.

Next, the operation of the health behavior proposing device 11 will be explained with reference to the flowchart of FIG. The user 20 transmits the measured values of each test item from his/her own terminal device to the health behavior suggestion device 11, and receives presentation of hobbies from the health behavior suggestion device 11 via the terminal device including at least a display section and an input section. Let's take a case as an example.

The actual measurement value input unit 111 inputs the actual measurement values of each inspection item of the user 20 from the user 20 (step S501). When inputting a measured value via the GUI, the measured value input unit 111 transmits display data for displaying a screen for input (input screen) to the terminal device of the user 20, for example.

An input screen as illustrated in FIG. 10 is displayed on the terminal device of the user 20. On the screen, input fields corresponding to the actual measured values of each inspection item are displayed. The user 20 inputs data regarding himself or herself into the input field.

FIG. 10 is an explanatory diagram showing an example of an input screen displayed on a terminal device owned by a user in the second embodiment. In the example shown in Figure 10, the test items are fasting blood sugar, HbA1c, systolic blood pressure, diastolic blood pressure, triglycerides, HDL (High Density Lipoprotein) cholesterol, and LDL (Low Density Lipoprotein), which are related to lifestyle-related diseases. Cholesterol and waist circumference are illustrated. For example, if the neutral fat value measured during a health checkup is 100 [mg/dl], the user 20 enters 100 in the neutral fat entry field. Note that although FIG. 10 illustrates test items related to lifestyle-related diseases, test items that are not directly linked to lifestyle-related diseases may also be included.

The data entered in the input field on the input screen is transmitted to the health behavior proposing device 11. When using the input screen illustrated in FIG. 10, the actual value input unit 111 inputs the actual value by receiving data input to the terminal device in the process of step S501.

The predicted value calculation unit 112 calculates a predicted value from the actual measured value input to the actual 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 a predicted value using, for example, one prediction formula obtained in advance. As the prediction formula, a formula obtained using AI (Artificial Intelligence) may be used. Further, the predicted value calculation unit 112 may select and use the optimal prediction formula from among the plurality of prediction formulas obtained by heterogeneous mixture learning.

The predicted value calculation unit 112 compares the actual measured value and the predicted value for each inspection item. Then, the predicted value calculation unit 112 extracts test items whose predicted values are worse than the actual measured values (step S503). For example, for a test item that indicates deterioration if the value increases, whether or not it has deteriorated is determined by whether the increase rate or increase value exceeds a predetermined rate or value. be done. For test items where a decrease in value indicates deterioration, whether or not the test item has deteriorated is determined by whether the rate of decrease or decrease value exceeds a predetermined rate or value. . The predicted value calculation unit 112 outputs the extracted test items to the comparison unit 113.

The comparison unit 113 reads the test value of the test item extracted by the predicted value calculation unit 112 for the person (another person relative to the user 20) for the test item from the test value holding unit 121 (step S504). The comparison unit 113 calculates a predicted value (predicted test value) of the read test value of the other person (step S505). The method of calculation may be the same as the method of calculation performed by the predicted value calculation unit 112, or may be different.

Further, the comparison unit 113 compares the test value and the predicted test value. Then, the predicted value calculation unit 112 determines whether the predicted test value is worse than the test 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 patient has not deteriorated, information regarding the other person corresponding to the test value will not be used in subsequent processing. Note that the method for determining whether or not the predicted test value is worse than the test value is the same as the method for determining whether the predicted value calculation unit 112 determines the actual value and the predicted value.

The comparison unit 113 outputs data indicating the specified other person to the hobby selection unit 114. Note that if 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 may be determined by the degree of deterioration of the user 20. Data indicating one or more other people close to the person 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, from the hobby relevance degree holding unit 122, hobbies related to the hobby extracted from the hobby holding unit 110 (step S508). The hobby selection unit 114 outputs the hobby extracted from the hobby storage unit 110 and hobbies related to the hobby to the hobby presentation unit 115 as related hobbies. The hobby selection unit 114 also outputs the degree of association of each related hobby to the hobby presentation unit 115.

Note that if there are a large number of related hobbies, the hobby selection section 114 may select one or more related hobbies with a high degree of association and output them to the hobby presentation section 115. The degree of association of the hobbies extracted from the hobby holding unit 110 is considered to be the highest at 1.0.

Note that 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. Sometimes, the hobby selection unit 114 extracts hobbies of a plurality of other people from the hobby holding unit 110. Then, among the extracted hobbies, the hobby selection unit 114 outputs a hobby that the most other people have in common and a hobby related to the hobby as related hobbies to the hobby presentation unit 115. People with similar health conditions are thought to have the same level of desire to be healthy, so the hobbies that most others have in common are likely to be things that those people are doing to improve their health. This is considered to be a more appropriate hobby for the user 20 to have in order to improve his or her health.

Further, when data indicating a plurality of other people is input from the comparison section 113 and a plurality of hobbies are extracted from the hobby holding section 110, the hobby selection section 114 displays all the extracted hobbies as a hobby. It may also be output to section 115.

The hobby presentation unit 115 presents the user with data that allows identification of related hobbies (step S509). Specifically, the hobby presentation unit 115 transmits data that allows identification of related hobbies along with the degree of association to a terminal device owned by the user 20. On the terminal device, data with which related hobbies can be identified are displayed on the screen in descending order of relevance. Hereinafter, the screen displayed on the terminal device will be referred to as the presentation screen.

Note that the hobby selecting section 114 may output only the hobbies extracted from the hobby holding section 110 to the hobby presenting section 115. In that case, the hobby presenting unit 115 transmits only the hobby 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 a terminal device owned by the user 20. In the example shown in FIG. 11, icons corresponding to each of three hobbies are displayed. That is, in this example, the hobby selection unit 114 selects three related hobbies in descending order of relevance as related hobbies that are actually presented.

Note that in the example shown in FIG. 11, a comment, that is, a recommendation sentence is also displayed together with the icon corresponding to the hobby, but in this embodiment, the recommendation sentence does not need to be displayed.

Furthermore, in the present embodiment, the health behavior proposing device 11 presents the hobbies extracted from the hobby holding unit 110 and the hobbies that are highly related to the hobbies to the user 20. Although the hobbies are presented to the user 20 in the above, the hobbies may be presented to the user 20 in order of their effectiveness in improving the health condition.

When presenting hobbies to the user 20 in order of their effectiveness in improving health status, for example, the hobby selection unit 114 uses a prediction formula obtained using AI in which the hobbies are also included in the learning data. , calculate predicted test values for test items for people with related hobbies. The hobby selection unit 114 determines whether the predicted value is improved with respect to the test value. For example, for test items that are improved when the value decreases, whether or not they have improved is determined by whether the rate of decrease or decrease value exceeds a predetermined rate or value. be done. Further, if the hobby selection unit 114 determines that the test value improves, it outputs the related hobby to the hobby presentation unit 115 and also indicates the degree of improvement (reduction rate or magnitude of reduction value) to the hobby presentation unit 115. Output. Note that the method for determining whether or not there is improvement as described above is an example, and other methods capable of calculating the degree of improvement may be used.

The hobby presentation unit 115 transmits data that allows identification of related hobbies and the degree of improvement to the terminal device possessed by the user 20. On the terminal device, data that allows identification of related hobbies is displayed on the screen in descending order of degree of improvement.

In the present embodiment, the health behavior proposal device 11 transmits the GUI display data etc. to the terminal device owned by the user 20, but it is possible that the terminal device has GUI framework data, presentation screen framework data, etc. You can also do this.

For example, the health behavior proposing device 11 provides an application program that includes GUI framework data and presentation screen framework data and can be downloaded by a terminal device. The terminal device downloads the application program in advance. Then, when the application program is started on the terminal device, the application program functions to display an input screen as illustrated in FIG. 10 on the display section of the terminal device. After the user 20 inputs data (actual measured values) into the input field, when the user 20 presses a predetermined send button or completion button displayed on the display, the application program transfers the data input into the input field to the health behavior suggestion device. Send to 11. Thereafter, the health behavior proposing device 11 executes the above-described process.

Note that by assigning an application name such as "recommended hobbies for healthy behavior" to the application program, the user 20 can recognize that there is a probability that the presented hobbies will lead to improved health. Further, the hobby presentation unit 115 creates display data such that a comment (corresponding to a recommendation sentence) stating that the hobby is for healthy behavior is also displayed on the presentation screen as illustrated in FIG. 11. It may also be transmitted to the terminal device. In that case, the user 20 can more easily recognize that the presented hobby leads to improved health.

As described above, in the present embodiment, the health behavior proposing device 11 recommends hobbies held by other people whose test item values are predicted to deteriorate like the user 20 and hobbies related to the hobbies. 20, it is possible to increase the possibility that the user 20 will be guided by the presented hobby. It should be noted that there is a possibility that other people whose test item values are predicted to deteriorate similarly to the user 20 are practicing hobbies as a health activity. In addition, hobbies related to hobbies held by others whose test item values are predicted to deteriorate are also considered to lead to some improvement in the health of the user 20.

In addition, the health behavior proposing device 11 presents hobbies of other people whose health condition is close to that of the user 20, thereby meeting the user's 20's desire to improve his or her health condition and which is effective for health. You can suggest hobbies. It is assumed that those who use the health behavior proposing device 11 have a desire to improve their health condition.

Each function (each process) in each of the above embodiments can be realized by a computer having a processor such as a CPU (Central Processing Unit), a memory, and the like. For example, a health behavior proposal program for implementing the method (processing) in the above embodiment is stored in a storage device (storage medium), and each function is executed by a CPU of the health behavior proposal program stored in the storage device. This can be achieved by

FIG. 12 is a block diagram showing an example of an information processing device (computer) having a CPU. The CPU 700 implements each function in each of the embodiments described above by executing processing according to the health behavior suggestion program stored in the storage device 701. That is, the computer includes a requirement input section 101, a comparison section 103, a health behavior selection section 104, a health behavior presentation section 105, an actual value input section 111, a predicted value calculation section 112, and a comparison section 113 shown in FIGS. , realizes the functions of the hobby selection section 114 and the hobby presentation section 115.

Storage device 701 is, for example, a non-transitory computer readable medium. Non-transitory computer-readable media includes various types of tangible storage media. Specific examples of non-transitory computer-readable media include magnetic recording media (e.g., hard disks), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Compact Disc-Read Only Memory), and CD-Rs (Compact Disc-Recordable), CD-R/W (Compact Disc-ReWritable), and semiconductor memories (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), and 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 relevance holding unit 122 shown in FIGS. 1 and 7.

Additionally, the health behavior suggestion program may be stored on various types of transitory computer readable media. The temporary computer-readable medium is supplied with the health behavior suggestion program, for example, via a wired or wireless communication channel, ie, 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 that temporarily stores data when the CPU 700 executes processing. It is also conceivable that a health behavior suggestion program held in 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 suggestion program in the memory 702.

Next, an overview of the present invention will be explained. FIG. 13 is a block diagram showing the main parts of the health behavior proposing device according to the present invention. The health behavior proposing device 800 (for example, the health behavior proposing devices 10 and 11) has a health behavior storage unit (health behavior storage means) 801 (in the embodiment, a health behavior (realized in the storage unit 100 or the hobby storage unit 110), and extracts from the health behavior storage unit 801 a health behavior that contributes to improving the health condition that corresponds to any one of a plurality of requirements that characterize the user regarding health. An extraction unit (extraction means) 802 (in the embodiment, 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 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 extracted health behavior to the user.

In addition, the health behavior proposing device 800 stores a plurality of attributes of each of a plurality of health behaviors in a health behavior storage unit 801 (in the embodiment, implemented by a health behavior storage unit 100) in correspondence with the health behavior. The extraction unit 802 (in the embodiment, implemented by the comparison unit 103 and the health behavior selection unit 104) compares the multiple requirements with the multiple attributes of each health behavior, thereby determining the user's It may be configured to calculate the degree of association (for example, score) between a health condition and a health behavior, and extract one or more health behaviors with a high degree of association.

In addition, the health behavior proposing device 800 stores a plurality of hobbies in a health behavior storage unit 801 (in the embodiment, implemented by the hobby storage unit 110) in correspondence with people who have the hobbies, and performs health-related tests. The extraction unit 802 (implemented) includes a test value storage unit (in the embodiment, implemented by the test value storage unit 121) that stores test values of a plurality of test items corresponding to each of a plurality of people. In this embodiment, the predicted value calculation unit 112, the comparison unit 113, and the hobby selection unit 114 are implemented. includes a prediction unit (in the embodiment, realized by the predicted value calculation unit 112), identifies an inspection item whose future value predicted by the measurement value prediction unit is worse than the measured value, and calculates the identified inspection item. A person (specifically, data representing the person) whose test value will deteriorate is extracted from the test value storage unit, and the extracted person (specifically, the person represented by the extracted data) has The hobbies may be extracted from the health behavior storage unit 801, and the presentation unit 803 may be configured to present the hobbies as health behaviors to the user.

Although the present invention has been described above with reference to the present embodiments and examples, the present invention is not limited to the above embodiments and examples. The configuration and details of the present invention can be modified in various ways that can be understood by those skilled in the art within the scope of the present invention.

This application claims priority based on Japanese Patent Application No. 2020-067402 filed on April 3, 2020, and the entire disclosure thereof is incorporated herein.

10, 11 Health behavior proposal device 20 User 100 Health behavior storage unit 101 Requirement input unit 103 Comparison unit 104 Health behavior selection unit 105 Health behavior presentation unit 110 Hobby storage unit 111 Actual value input unit 112 Predicted value calculation unit 113 Comparison unit 114 Hobby selection section 115 Hobby presentation section 121 Test value holding section 122 Hobby relevance degree holding section 700 CPU
701 Storage device 702 Memory 800 Health behavior suggestion device 801 Health behavior storage unit 802 Extraction unit 803 Presentation unit

Claims (10)

A health behavior suggestion device that suggests health behavior to a user,
health behavior storage means for storing data that can identify each of a plurality of health behaviors;
Extracting means for extracting from the health behavior storage means a health behavior that contributes to improvement of health condition corresponding to any of a plurality of requirements characterizing the user regarding health;
presentation means for presenting the health behaviors extracted by the extraction means to the user ;
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 health behavior memory means includes:
Multiple hobbies are stored corresponding to the person who has the hobbies,
The extraction means is
including a measured value prediction means for predicting future values from measured values in tests related to the user's health,
identifying an inspection item whose future value predicted by the measurement value prediction means is worse than the measurement value;
extracting from the test value storage means a person whose test value for the identified test item will deteriorate;
extracting hobbies of the extracted person from the health behavior memory means;
The presentation means is
Presenting hobbies as health behaviors to the user
A health behavior suggestion device characterized by : The health behavior storage means stores a plurality of attributes of each of a plurality of health behaviors in correspondence with the health behavior,
The extraction means calculates the degree of association between the user's health condition and the health behavior by comparing the plurality of requirements and the plurality of attributes of each of the health behaviors, and calculates the degree of association between the user's health condition and the health behavior, and The health behavior proposing device according to claim 1, wherein one or more health behaviors with a high degree of . The health behavior proposing device according to claim 1 or 2, wherein the presentation means presents to the user the recommendation sentence regarding health behavior extracted by the extraction means. further comprising association degree storage means for storing the degree of association between the hobbies stored in the health behavior storage means,
The extraction means extracts from the association storage means hobbies that have a high degree of relevance to the hobby extracted from the health behavior storage means,
The health behavior proposing device according to claim 1 , wherein the presenting means also presents hobbies extracted from the association storage means. A health behavior proposal method executed by a health behavior proposal device that proposes health behavior to a user, the method comprising:
The health behavior proposing device stores data that allows each of a plurality of health behaviors to be identified as a health behavior that contributes to improving a health condition that corresponds to one of a plurality of requirements characterizing the user regarding health. Extracted from behavioral memory means,
the health behavior suggestion device presents the extracted health behavior to the user ;
The health behavior storage means stores a plurality of hobbies corresponding to people who have hobbies,
The health behavior proposing device predicts future values from the measured values in the health-related examination of the user,
the health behavior proposal device identifies a test item whose predicted future value is worse than the measured value;
A test value storage in which the health behavior proposal device stores test values of a plurality of test items in a health-related test in correspondence with each of a plurality of people, in which the test values of the identified test items will deteriorate. Extracted from the means,
the health behavior suggestion device extracts hobbies of the extracted person from the health behavior storage means;
The health behavior suggestion device presents hobbies as health behaviors to the user.
A method for proposing healthy behavior characterized by the following. The health behavior storage means stores a plurality of attributes of each of a plurality of health behaviors in correspondence with the health behavior,
The health behavior proposing device calculates the degree of association between the user's health condition and the health behavior by comparing the plurality of requirements and the plurality of attributes of each of the health behaviors, and 6. The health behavior suggestion method according to claim 5 , wherein one or more health behaviors with a high degree of relevance are extracted. The health behavior proposal method according to claim 5 or 6 , wherein the health behavior proposal device presents the user with the extracted recommendation sentence regarding the health behavior. The health behavior proposing device stores hobbies that have a high degree of relevance to the hobbies extracted from the health behavior storage means, and a degree of association storage means for storing the degree of association between the hobbies stored in the health behavior storage means. extracted from
The health behavior proposing device also presents hobbies extracted from the association storage means.
The method for proposing healthy behavior according to claim 5. to the computer,
Extraction processing that extracts health behaviors that contribute to improving health conditions that correspond to any of multiple requirements that characterize a user regarding health from a health behavior storage means that stores data that can identify each of the multiple health behaviors. , and a health behavior suggestion program for causing a presentation process to present the extracted health behavior to the user ,
The health behavior memory means includes:
Multiple hobbies are stored corresponding to the person who has the hobbies,
In the extraction process,
Predicting future values from the measured values in tests related to the user's health,
identifying test items whose predicted future values are worse than the measured values;
extracting a person whose test value for the identified test item will deteriorate from a test value storage means that stores test values for a plurality of test items in a health-related test corresponding to each of the plurality of people;
extracting hobbies of the extracted person from the health behavior memory means;
In the presentation process,
Allow the user to present hobbies as health behaviors
Health behavior suggestion program. The health behavior storage means stores a plurality of attributes of each of a plurality of health behaviors in correspondence with the health behavior,
to the computer;
In the extraction process, the degree of association between the user's health condition and the health behavior is calculated by comparing the plurality of requirements and the plurality of attributes of each of the health behaviors, and the degree of association between the user's health condition and the health behavior is calculated. extract one or more health behaviors with a high degree of
The health behavior suggestion program according to claim 9.

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