Lifestyle improvement system and control method

Abstract

This lifestyle habit improvement system (10) is equipped with: an acquisition unit (101) for acquiring a plurality of first behavior modification stages obtained as a result of evaluating the behavior modification stage of each of a plurality of first users; a classification unit (104) for classifying the plurality of first users into a plurality of groups according to the plurality of first behavior modification stages in a manner such that users evaluated to be at similar behavior modification stages belong to the same group; an extraction unit (105) for acquiring one or more first behaviors of one or more second users who belong to a first group among the plurality of groups, and extracting a second behavior, which yields the effect of transitioning to a higher behavior modification stage, from among the one or more acquired first behaviors; and a reporting unit (103) for reporting the second behavior to one or more third users, who currently belong to the first group and are some of the one or more second users.

Description

[Technical field]

[0001] The present disclosure relates to a lifestyle improvement system, a mobile terminal, and a control method. [Background technology]

[0002] Patent Document 1 discloses a dietary advice support device that estimates a behavior change phase (behavior change stage) of a subject of dietary advice based on a behavior change model, and supports dietary advice to the subject according to the behavior change phase. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2016-091184 A Summary of the Invention [Problem to be solved by the invention]

[0004] The present disclosure provides a lifestyle habit improvement system and the like that can effectively raise the behavior change stage of a first user who receives support for lifestyle habit improvement and a second user who supports the lifestyle habit improvement. [Means for solving the problem]

[0005] A lifestyle habit improvement system according to one embodiment of the present disclosure includes an acquisition unit that acquires a plurality of first behavior change stages obtained by evaluating the behavior change stages of a plurality of first users, a classification unit that classifies the plurality of first users into a plurality of groups according to the plurality of first behavior change stages so that users evaluated at similar behavior change stages belong to the same group, an extraction unit that acquires one or more first behaviors of one or more second users belonging to a first group of the plurality of groups and extracts a second behavior from the acquired one or more first behaviors that influences a transition to a higher behavior change stage, and a notification unit that notifies one or more third users among the one or more second users who currently belong to the first group of behavior information indicating the second behavior.

[0006] Moreover, a mobile terminal according to one embodiment of the present disclosure is a mobile terminal connected to a server via a network, the server including an acquisition unit that acquires a plurality of first behavioral change stages obtained by evaluating the behavioral change stages of a plurality of first users, a classification unit that classifies the plurality of first users into a plurality of groups according to the plurality of first behavioral change stages so that users evaluated at similar behavioral change stages belong to the same group, an extraction unit that acquires one or more first behaviors of one or more second users belonging to a first group of the plurality of groups and extracts a second behavior that influences a transition to a higher behavioral change stage from the acquired one or more first behaviors, and a notification unit that notifies one or more third users among the one or more second users who currently belong to the first group of behavioral information indicating the second behavior, and the mobile terminal includes a receiving unit that receives the behavioral information and a presentation unit that presents the second behavior based on the received behavioral information.

[0007] Furthermore, a control method according to one embodiment of the present disclosure is a control method for a lifestyle improvement system having one or more processors and a presentation unit, in which the one or more processors obtain a plurality of first behavior change stages obtained by evaluating the behavior change stages of a plurality of first users, respectively, obtain one or more first behaviors of one or more second users belonging to a first group among a plurality of groups into which the plurality of first users are classified so that users evaluated at similar behavior change stages belong to the same group according to the plurality of first behavior change stages, and notify one or more third users among the one or more second users who currently belong to the first group of the one or more second users of behavior information indicating a second behavior that influences a transition to a higher behavior change stage among the one or more obtained first behaviors.

[0008] In addition, these general or specific aspects may be realized by an apparatus, an integrated circuit, a computer program, or a non-transitory recording medium such as a computer-readable CD-ROM, or may be realized by any combination of an apparatus, an integrated circuit, a computer program, and a non-transitory recording medium. Effect of the Invention

[0009] The lifestyle habit improvement system and the like disclosed herein can effectively raise the behavior change stage of users who receive support for lifestyle habit improvement and users who are supported in improving their lifestyle habits. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a graph illustrating changes in disease structure. [Diagram 2] Figure 2 is a graph showing the breakdown of medical expenses for lifestyle-related diseases by lifestyle-related disease. [Diagram 3] FIG. 3 is a graph showing the relationship between blood pressure categories and the incidence of stroke. [Figure 4] FIG. 4 is a diagram for explaining factors that reduce blood pressure. [Diagram 5]FIG. 5 is a diagram for explaining factors that prevent lifestyle improvements from being continued. [Figure 6] FIG. 6 is a diagram showing a behavior change stage model. [Figure 7] FIG. 7 is a diagram illustrating an example of a functional block diagram of the lifestyle habit improvement system according to the embodiment. [Figure 8] FIG. 8 is a diagram for explaining a specific configuration of the mobile terminal. [Figure 9] FIG. 9 is a sequence diagram showing a first example of the operation of the lifestyle habit improvement system for notifying support information. [Figure 10] FIG. 10 is a sequence diagram showing a second example of the operation of the lifestyle habit improvement system for notifying support information. [Figure 11] FIG. 11 is a flowchart showing an example of an operation related to input of an eating history in the lifestyle habit improvement system. [Figure 12] FIG. 12 is a flowchart showing a first example of an eating history input process. [Figure 13] FIG. 13 is a flowchart showing a second example of the eating history input process. [Figure 14] FIG. 14 is a flowchart showing a third example of the eating history input process. [Figure 15] FIG. 15 is a flowchart showing a fourth example of the eating history input process. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] [background] The background of the invention will now be described.

[0012] FIG. 1 is a graph illustrating changes in disease structure.

[0013] As shown in Figure 1, with the improvement of sanitary conditions after the war, the structure of diseases suffered by the Japanese people has shifted from infectious diseases to lifestyle-related diseases. For example, while the death rate caused by infectious diseases such as tuberculosis and pneumonia has decreased over time, the death rate caused by lifestyle-related diseases such as heart disease has been on the rise. Lifestyle-related diseases are difficult to cure, and therefore have the problem of continuous medical costs. In addition, with lifestyle-related diseases, the intensity of subjective symptoms does not match the need for medical intervention.

[0014] Figure 2 is a graph showing the ratio of medical expenses for lifestyle-related diseases to those classified by lifestyle-related disease. Figure 3 is a graph showing the relationship between blood pressure classification and stroke incidence.

[0015] As shown in Figure 2, medical expenses for lifestyle-related diseases caused primarily by high blood pressure (cerebrovascular disease, ischemic heart disease, and hypertension) account for approximately 75% of the total. Furthermore, multiple studies have shown that the higher the blood pressure, the higher the risk of disease. For example, as shown in Figure 3, the higher the blood pressure, the more likely one is to develop a stroke.

[0016] Figure 4 is a diagram for explaining factors that reduce blood pressure. Figure 4 is a diagram based on the Hypertension Treatment Guidelines 2019.

[0017] As shown in Figure 4, four measures are considered important for reducing blood pressure: (1) nutrition and diet, (2) physical activity and exercise, (3) alcohol consumption, and (4) antihypertensive drug use rates. Of these, (1) nutrition and diet, (2) physical activity and exercise, and (3) alcohol consumption are not medical measures, but measures related to improving daily life. In other words, it is clear that improving daily life is important for reducing lifestyle-related diseases.

[0018] FIG. 5 is a diagram for explaining factors that prevent lifestyle improvements from being continued.

[0019] In order to improve lifestyle habits, it is necessary to help patients with lifestyle-related diseases make healthy behavior a habit. If healthy behavior can be made a habit, it will lead to the promotion and maintenance of a person's health.

[0020] However, it is difficult to continue lifestyle improvement actions without following the advice to improve lifestyle habits (e.g., diet). The following four points are considered as factors for this. The four factors are, for example, (1) daily measurement is bothersome, (2) daily cooking is bothersome, (3) it is unclear whether it is reliable, and (4) there are no subjective symptoms. By improving each of the four factors, it is possible to make lifestyle improvement actions (behavioral change) a habit. An improvement for (1) is, for example, to realize measurements that reduce stress and burden. An improvement for (2) is, for example, to realize meal suggestions to reduce the burden of cooking and cooking support using home appliances. An improvement for (3) is, for example, to realize intervention that combines evidence-based reliability and expert knowledge. An improvement for (4) is, for example, to realize information provision and suggestions for improvement actions that match the individual's condition and constitution.

[0021] FIG. 6 is a diagram showing a behavior change stage model.

[0022] Human behavior generally passes through stages little by little, and as shown in Figure 6, it is thought that there are five stages: indifference, interest, preparation, action, and maintenance. This is called the behavior change stage model, and research and practice are being conducted on various health-related behaviors. In order to advance one behavior change stage, it is necessary to understand which stage the person is in and to work on each stage. The behavior change stages are evaluated in order of increasing indifference, interest, preparation, action, and maintenance. In other words, the indifference, interest, preparation, action, and maintenance stages are arranged in order of decreasing behavior change stage, and the behavior change stages are evaluated as follows: interest is higher than indifference, preparation is higher than interest, action is higher than preparation, and maintenance is higher than action. In this way, the behavior change stage can be said to be an index that indicates the strength of a person's will to change their daily behavior in order to transition from the first state to a second state that is improved from the first state.

[0023] For example, the Ministry of Health, Labour and Welfare's website (https: / / www.e-healthnet.mhlw.go.jp / information / exercise / s-07-001.html) discloses a behavior change stage model and approaches tailored to each stage, as shown below.

[0024] Examples of ways to stimulate the apathetic stage include "raising awareness," "learning the benefits of physical activity," "emotional experiences," "feeling that things are not going well if things continue the way they are," "reevaluating the environment," and "thinking about the impact on those around you."

[0025] Examples of approaches to the concern stage include "self-reevaluation" and "imagining yourself negatively as someone who is not doing enough physical activity and positively as someone who is doing physical activity."

[0026] Examples of interventions for the preparatory stage include "self-liberation" and "having confidence that you can perform physical activity well and declaring to those around you that you are going to start physical activity."

[0027] Examples of interventions during the implementation and maintenance stages include "behavior substitution," "replacing unhealthy behaviors with healthy behaviors (e.g., dealing with stress through physical activity instead of alcohol)," "supportive relationships," "using support from others to continue physical activity," "reinforcement management," "providing rewards for continuing physical activity," "stimulus control," and "creating an environment that makes it easy to engage in physical activity."

[0028] (Blood Pressure Monitor) In recent years, wearable cuffless blood pressure monitors that can automatically measure blood pressure at regular intervals by wearing them at all times have become known. Cuffless blood pressure monitors are approved as medical devices in some countries or regions.

[0029] A cuffless blood pressure monitor differs from conventional blood pressure monitors in that it is a device that is permanently worn, for example on the wrist or upper arm, and that automatically and frequently measures blood pressure at specified times, such as every 30 minutes, or when specified conditions are met (for example, when the user is at rest with little movement).

[0030] Until now, frequent blood pressure measurements (for example, hourly blood pressure measurements) have been obtained using a cuff-equipped blood pressure monitor known as ABPM (Ambulatory Blood Pressure Monitoring), but the periodic tightening of the cuff places a strain on the subject's body. For this reason, frequent blood pressure measurements are rarely taken unless truly necessary via a medical institution.

[0031] However, cuffless sphygmomanometers do not have a cuff, and instead obtain blood pressure measurements by estimating blood pressure based on pulse waves obtained from an optical sensor, and there is almost no tightening around the measurement points on the body (wrist, upper arm, etc.). Therefore, there is no strain on the body as with ABPM, and blood pressure can be measured frequently.

[0032] (A smartphone app that supports improvement actions) In recent years, health management apps have become known that record the user's eating history (daily meal content), exercise history (daily exercise content), weight, and other physical conditions of the user for the purpose of dieting, etc., and visualize the user's health condition. In such health management apps, for example, data such as the eating history, exercise history, and physical condition recorded daily is checked by a nutritionist, and advice from the nutritionist is provided according to the user's diet goal. This allows the user to improve their eating and exercise habits in accordance with the nutritionist's advice. In the app, the user can view a large number of cooking recipes and cook using the cooking recipes in accordance with the nutritionist's advice.

[0033] In addition, the meal contents can be input into this app not only by the user's manual input, but also by quoting a cooking recipe in the app, or by taking a photo of the meal and having the AI ​​in the app predict the meal contents from the photo, and the prediction result can be used. Also, the meal contents can be input into the app by searching for the store name or product name if the store is affiliated with the app, and by selecting the store name or product name. In this way, mechanisms are known that encourage continued use of the app by reducing the effort and complexity of inputting meal contents.

[0034] (Challenge 1) When the supported user, who receives support for improving lifestyle habits, and the supporting user who supports the supported user in improving the lifestyle habits work together to improve the lifestyle habits (e.g., eating habits) of the supported user in order to improve a disease such as hypertension, there are problems as follows. Here, the supported user and the supporting user are partners, for example, a married couple. For example, if there is a discrepancy in the behavioral change stage between the supported user and the supporting user, trouble may occur between the supported user and the supporting user, and the supported user's efforts to improve the lifestyle habits may not progress well, and the supported user may not take any action to improve the lifestyle habits. The supported user is a user (patient) who has a disease such as hypertension and needs to improve his / her lifestyle habits in order to improve the disease. The supporting user is a user who supports the supported user in improving the lifestyle habits, for example, a user who supports the supported user by cooking meals for the supported user.

[0035] The inventors have discovered that this task is based on the magnitude relationship of the stages of behavioral change, for example, as shown below.

[0036] (1) When the behavioral change stage of the supporting user is higher than that of the supported user The supported user has no intention of improving his / her lifestyle, and the support user does not listen to the support user's recommendation of a low-salt menu, making it difficult for the two to discuss improvement actions. For this reason, the support user loses motivation to support the supported user in improving his / her lifestyle.

[0037] Even if the support user cooks and serves a meal with a low-salt menu, the supported user has a preconceived notion that the low-salt menu looks unappetizing before even eating it, and refuses to eat it. Because the supported user refuses to eat the low-salt menu even if the support user cooks the meal, the support user loses motivation to support the supported user in improving the lifestyle habits.

[0038] Even if the support user cooks a low-salt meal, the supported user complains that the low-salt meal is not tasty and does not eat much. If the supported user does not try to improve their lifestyle habits, the support user will gradually lose motivation.

[0039] Even if the support user cooks a low-salt meal, the supported user is not satisfied and eats a strongly seasoned meal when the support user is not watching (for example, eating out). When the support user realizes that the supported user is eating whatever he or she wants in secret, he or she loses motivation to support the supported user.

[0040] (2) When the behavioral change stage of the supporting user is lower than that of the supported user Since the supporting user does not have the awareness to prepare low-salt meals for the supported user, the supported user takes the improvement action by himself / herself.

[0041] The support user has a preconceived notion that low-salt menus are not tasty and does not cook low-salt meals. As a result, the support user has no choice but to improve the food they eat outside the home, which reduces the number of ways to improve the food they eat.

[0042] The support user tried to cook a low-salt meal, but the low-salt menu consisted of many fish dishes, which required the support user to have high cooking skills, so the support user lost confidence in his or her cooking ability and found it difficult to cook a low-salt meal.

[0043] Even if the support user cooks a low-salt meal, the support user will not want to continue to eat it, and will stop cooking low-salt meals. As a result, the supported user will have no choice but to improve the content of their meals outside the home, and the options for improvement will be reduced.

[0044] (3) When the behavioral change stage of the supported user and the supporting user is the same and low Both the supported user and the supporting user have a preconceived notion that low-salt meals will not taste good before they even eat them, and so they are reluctant to eat them. As a result, the supported user's behavioral change stage does not progress, and health improvement does not progress.

[0045] Both the supported user and the supporting user complain that the low-salt menu is not tasty even if it is cooked, and they do not eat much. As a result, the supported user and the supporting user cook low-salt menus less frequently, and their health improvement does not progress.

[0046] (Task 2) There is a problem that even if a assisted user or a supporting user attempts to improve lifestyle habits alone, the improvement is not sustainable for long.

[0047] It is known that lifestyle changes for the treatment of lifestyle-related diseases are difficult to continue on one's own. On the other hand, it is known that creating a community of members with the same health status and goals and supporting each other within the community can increase motivation and enable people to continue improving their lifestyle habits more than if they were doing it alone. However, there is an issue in that no consideration has been given to effectively raising a person's stage of behavioral change.

[0048] In order to solve the above problem 2, the inventors have discovered a lifestyle habit improvement system that can effectively raise the behavioral change stage of at least the lower of a first user receiving support for improving their lifestyle habits and a second user supporting the improvement of their lifestyle habits.

[0049] A lifestyle habit improvement system according to a first aspect of the present disclosure includes an acquisition unit that acquires a plurality of first behavior change stages obtained by evaluating the behavior change stages of a plurality of first users, a classification unit that classifies the plurality of first users into a plurality of groups according to the plurality of first behavior change stages so that users evaluated at similar behavior change stages belong to the same group, an extraction unit that acquires one or more first behaviors of one or more second users belonging to a first group of the plurality of groups and extracts a second behavior from the acquired one or more first behaviors that influences a transition to a higher behavior change stage, and a notification unit that notifies one or more third users among the one or more second users who currently belong to the first group of behavior information indicating the second behavior.

[0050] According to this, a second behavior that influences a transition to a higher behavioral change stage among one or more first behaviors of each of one or more second users belonging to the first group is notified to one or more third users currently belonging to the first group, which may raise the one or more third users to a higher behavioral change stage.

[0051] A lifestyle habit improvement system according to a second aspect of the present disclosure is the lifestyle habit improvement system according to the first aspect, wherein the one or more first actions are actions performed by the one or more third users.

[0052] According to this, since the second behavior is extracted from the behaviors performed by one or more third users who currently belong to the first group, it is possible to notify the one or more third users of behavior information indicating the behavior of users who are classified into the same group as the one or more third users to be notified. Therefore, it is possible to more effectively raise the one or more third users to a higher behavior change stage.

[0053] A lifestyle habit improvement system according to a third aspect of the present disclosure is the lifestyle habit improvement system according to the first aspect, wherein the one or more first behaviors are behaviors of one or more fourth users who currently belong to a second group having a behavioral change stage evaluated higher than that of the first group that have influenced a transition from the first group to the second group.

[0054] According to this, the behavior performed by one or more fourth users who belonged to the first group and influenced the transition from the first group to the second group is extracted as the second behavior, so that the behavior that has a proven track record of influencing the group transition can be extracted as the second behavior. In other words, there is a possibility that one or more third users can be more effectively elevated to a higher behavior change stage.

[0055] A lifestyle habit improvement system according to a fourth aspect of the present disclosure is a lifestyle habit improvement system according to any one of the first to third aspects, wherein the multiple first users include multiple supported users who receive support in improving their lifestyle habits, and multiple supporting users who each support the multiple supported users in improving their lifestyle habits.

[0056] A lifestyle habit improvement system according to a fifth aspect of the present disclosure is a lifestyle habit improvement system according to the first aspect, wherein the first behavioral change stage of the assisted user is determined for each predetermined period according to at least one of a record of the assisted user's daily living activities, a browsing history of an app that manages the assisted user's health condition on a first terminal owned by the assisted user, biometric information of the assisted user, and the amount of exercise of the assisted user, and the first behavioral change stage of the assisting user is determined for each predetermined period according to a browsing history of an app that manages the assisted user's health condition on a second terminal owned by the assisting user, and the assistance skill of the assisting user.

[0057] According to this, an appropriate first behavioral change stage is determined according to the behavior and state of the supported user, and an appropriate second behavioral change stage is determined according to the behavior and state of the supporting user, so that the second behavior that can effectively raise the behavioral change stage of the low-rated user can be provided to one or more users currently belonging to the first group.

[0058] A lifestyle habit improvement system according to a sixth aspect of the present disclosure is a lifestyle habit improvement system according to any one of the first to fifth aspects, wherein the behavior change stage is an index representing the strength of a person's intention to change their daily behavior in order to transition from a first state to a second state that is improved from the first state.

[0059] This makes it possible to determine a behavior change stage according to the strength of the user's intention to change his or her daily behavior.

[0060] A mobile terminal according to a seventh aspect of the present disclosure is a mobile terminal connected to a server via a network, wherein the server comprises: an acquisition unit that acquires a plurality of first behavior change stages obtained by evaluating the behavior change stages of a plurality of first users; a classification unit that classifies the plurality of first users into a plurality of groups according to the plurality of first behavior change stages so that users evaluated at similar behavior change stages belong to the same group; an extraction unit that acquires one or more first behaviors of one or more second users belonging to a first group of the plurality of groups and extracts a second behavior that influences a transition to a higher behavior change stage from the acquired one or more first behaviors; and a notification unit that notifies one or more third users among the one or more second users who currently belong to the first group of behavior information indicating the second behavior; and the mobile terminal comprises a receiving unit that receives the behavior information and a presentation unit that presents the second behavior based on the received behavior information.

[0061] According to this, the mobile terminal notifies a third user currently belonging to the first group of a second behavior that influences a transition to a higher behavioral change stage among one or more first behaviors of each of one or more second users belonging to the first group, thereby potentially raising the third user to a higher behavioral change stage.

[0062] A control method according to an eighth aspect of the present disclosure is a control method for a lifestyle improvement system having one or more processors and a presentation unit, wherein the one or more processors obtain a plurality of first behavior change stages obtained by evaluating the behavior change stages of a plurality of first users, respectively, obtain one or more first behaviors of one or more second users belonging to a first group among a plurality of groups into which the plurality of first users are classified so that users evaluated at similar behavior change stages belong to the same group according to the plurality of first behavior change stages, and notify one or more third users among the one or more second users who currently belong to the first group of the one or more second users of behavior information indicating a second behavior that influences a transition to a higher behavior change stage among the one or more obtained first behaviors.

[0063] According to this, a second behavior that influences a transition to a higher behavioral change stage among one or more first behaviors of each of one or more second users belonging to the first group is notified to one or more third users currently belonging to the first group, which may raise the one or more third users to a higher behavioral change stage.

[0064] In addition, these general or specific aspects may be realized by an apparatus, an integrated circuit, a computer program, or a non-transitory recording medium such as a computer-readable CD-ROM, or may be realized by any combination of an apparatus, an integrated circuit, a computer program, and a non-transitory recording medium.

[0065] Hereinafter, the embodiments will be described in detail with reference to the drawings as appropriate. However, more detailed explanation than necessary may be omitted. For example, detailed explanation of already well-known matters or duplicate explanation of substantially the same configuration may be omitted. This is to avoid the following explanation becoming unnecessarily redundant and to facilitate understanding by those skilled in the art.

[0066] The inventor provides the accompanying drawings and the following description so that those skilled in the art can fully understand the present disclosure, and does not intend for them to limit the subject matter described in the claims.

[0067] (Embodiment) [composition] FIG. 7 is a diagram illustrating an example of a functional block diagram of the lifestyle habit improvement system according to the embodiment.

[0068] As shown in FIG. 7, the lifestyle habit improvement system 10 includes a server 100 and mobile terminals 300a and 300b. The server 100 and the mobile terminals 300a and 300b are connected to each other via a network 400 so that they can communicate with each other. The network 400 may be, for example, a general-purpose line such as the Internet, or a dedicated line. The mobile terminal 300a is a terminal carried by a first user. The mobile terminal 300b is a terminal carried by a second user. The first user is a supported user who receives improvement in lifestyle habits. The second user is a supporting user who supports the improvement of the lifestyle habits of the first user. Here, the support is, for example, support for improving the dietary habits of the first user and cooking meals for the first user. In addition, the support is not limited to cooking meals for the first user, but also includes support for improving lifestyle habits in general, not limited to dietary habits, by encouraging the first user to live a regular life or exercise, or working together with the first user.

[0069] (server) The server 100 is a cloud server that provides the first user and the second user with information for supporting the first user in improving their lifestyle habits. The server 100 includes an acquisition unit 101, a comparison unit 102, a notification unit 103, a classification unit 104, an extraction unit 105, and a storage unit 106. The server 100 does not necessarily have to include the classification unit 104 and the extraction unit 105. The server 100 does not necessarily have to include the comparison unit 102. The server 100 includes a processor and a memory. The functions of the server 100 may be realized by the processor executing a program stored in the memory.

[0070] The acquisition unit 101 is a communication IF (Interface) that acquires various information from the mobile terminals 300a and 300b by communicating with the mobile terminals 300a and 300b via the network 400. The acquisition unit 101 may acquire eating information of the first user from the mobile terminal 300a. The eating information is information about eating of the first user generated from information input by the first user via a health management app of the mobile terminal 300a. The health management app is an app that manages the health condition of the first user and runs on the mobile terminals 300a and 300b. The eating information includes the frequency with which the first user takes photos of the meals he or she eats, photos of the meals, frequency of eating out, amount or frequency of snacks, evaluation of the taste of the meals eaten, and the like. The eating information may include a menu of the meals. The acquisition unit 101 may also acquire the menu of the meals as the eating information by estimating the menu of the meals from the photos of the meals. The acquisition unit 101 may acquire the nutritional components of the meals by estimating the nutritional components of the meals from the menu of the meals. The nutritional components include the energy amount of the food, the salt content, etc. The acquiring unit 101 may acquire not only the eating information but also life information indicating the daily living activities of the first user. The life information may include information on the basic behaviors of the first user that are essential for people to live their lives, such as sleep, excretion, etc., in addition to the eating information on the meals of the first user.

[0071] Acquiring unit 101 may also acquire application information related to a health management application of mobile terminal 300a. The application information includes a frequency with which the first user views the health management application of mobile terminal 300a, an amount of viewing of guidance content for the first user of the health management application, and the like.

[0072] The acquisition unit 101 may also acquire biometric information of the first user obtained from a measuring device (not shown). The biometric information may include the weight, blood pressure, pulse, body movement, number of steps, and the like of the first user. The measuring device may be a weight scale, a blood pressure monitor, or an activity meter including a heart rate sensor, a triaxial acceleration sensor, and a triaxial angular velocity sensor. The measuring device may communicate with the mobile terminal 300a to transmit the obtained biometric information to the server 100 via the mobile terminal 300a, or may communicate with the network 400 to transmit the obtained biometric information to the server 100.

[0073] The acquisition unit 101 may evaluate the behavioral change stage of the first user based on the eating information, application information, and biological information acquired from the mobile terminal 300a, and may determine the evaluation result as the first behavioral change stage. The acquisition unit 101 may sequentially acquire the eating information, application information, and biological information from the mobile terminal 300a at predetermined intervals, and may determine the first behavioral change stage at predetermined times according to at least one of the eating information, application information, and biological information acquired sequentially. Specifically, the acquisition unit 101 may determine the first behavioral change stage so that the more frequently a photo of a meal is taken, the higher the first behavioral change stage is, the lower the energy amount and / or salt content of the nutritional components of the meal in the eating information is, the lower the frequency of eating out is, the lower the amount and / or frequency of snacks is, the higher the first behavioral change stage is, the higher the frequency of starting a health management app and / or the amount of browsing of guidance content of the health management app is, and the higher the frequency of measuring at least one of weight and blood pressure is,

[0074] The acquisition unit 101 may also acquire an evaluation of the behavior of the first user by the second user or an evaluation of the behavior of the first user by the first user himself, and may determine the first behavior change stage by further considering these evaluations. For example, the acquisition unit 101 may determine the indifference period as the first behavior change stage based on an evaluation that the user has no intention of eating a meal of a recipe for improving health. For example, the acquisition unit 101 may determine the interest period as the first behavior change stage based on an evaluation that the user knows that a meal of a recipe for improving health is good for health (i.e., is interested in it), but does not understand why it is good for health. For example, the acquisition unit 101 may determine the preparation period as the first behavior change stage based on an evaluation that the user intends to eat a meal of a recipe for improving health, but has not been able to take action (i.e., has not eaten it). For example, the acquisition unit 101 may determine the implementation period as the first behavior change stage based on an evaluation or performance that the user eats a meal of a recipe for improving health, but has not felt a sufficient effect. Also, for example, the acquisition unit 101 may determine the maintenance phase as the first behavioral change stage based on an evaluation or performance that the patient continues to eat meals according to health improvement recipes, snacks less than before, and the daily energy intake and salt intake are below a certain value.

[0075] The acquisition unit 101 may also determine the first behavioral change stage according to the state of registration of eating information and its evaluation. For example, the acquisition unit 101 may determine the indifference stage as the first behavioral change stage when the eating history photo is not registered or the biometric information is not recorded. For example, the acquisition unit 101 may determine the interest stage as the first behavioral change stage based on the evaluation that the user understands that the eating history registration estimates or provides guidance on meal contents, but does not understand why it is necessary for the user. For example, the acquisition unit 101 may determine the preparation stage as the first behavioral change stage based on the evaluation that the user intends to register the eating history but has not been able to take action (i.e., has not been able to register). For example, the acquisition unit 101 may determine the implementation stage as the first behavioral change stage based on the evaluation that the user has registered the eating history but has not felt a sufficient effect. Also, for example, the acquisition unit 101 may continue to register the eating history and determine the maintenance period as the first behavioral change stage based on an evaluation that the meal contents have changed, or that the estimated daily energy intake and salt intake have fallen below a certain value, or that the biometric information has changed.

[0076] The acquisition unit 101 may determine the first behavior change stage according to the registration status of the first user's biometric information and the evaluation thereof. For example, the acquisition unit 101 may determine the indifference stage as the first behavior change stage based on the evaluation that the user has no intention of recording the biometric information. For example, the acquisition unit 101 may determine the interest stage as the first behavior change stage based on the evaluation that the user understands that recording of the biometric information is necessary (has been told by a doctor) but does not understand why it is necessary. For example, the acquisition unit 101 may determine the preparation stage as the first behavior change stage based on the evaluation that the user intends to record the biometric information but has not been able to take action (i.e., has not been able to record). For example, the acquisition unit 101 may determine the implementation stage as the first behavior change stage based on the evaluation that the user records the biometric information but has not felt a sufficient effect. Also, for example, the acquisition unit 101 may determine the maintenance phase as the first behavior change stage based on an evaluation that the user continues to record the biometric information, or that the user has sensed a change in the biometric information, or that the user has understood the relationship between diet and the biometric information (one's own characteristics).

[0077] The acquisition unit 101 may determine the first behavior change stage at a predetermined time interval according to at least one of the eating information, the app information, and the biological information, and the timing of acquiring the eating information, the app information, and the biological information is not limited to the above. In this manner, the acquisition unit 101 may acquire the first behavior change stage by determining the first behavior change stage.

[0078] The acquisition unit 101 may also acquire from the mobile terminal 300a the first behavior change stage determined by the mobile terminal 300a at every predetermined time. The acquisition unit 101 may also acquire from an external device, not shown, the first behavior change stage determined by the external device at every predetermined time. The first behavior change stage is determined based on the eating information, app information, and biological information generated in the mobile terminal 300a. The mobile terminal 300a may be a terminal used by the first user, and is not limited to one terminal, and may be two or more terminals.

[0079] The acquisition unit 101 may acquire application information related to the health management app of the mobile terminal 300b. The application information includes the viewing time of the health improvement recipe (e.g., low-salt recipe) of the health management app of the mobile terminal 300b by the second user, the input frequency of information indicating that a meal of the health improvement recipe menu was made on that day, the frequency of viewing the health management app, and the viewing amount of the instruction content for the second user in the health management app. The acquisition unit 101 may also estimate the usage amount and reduction speed of seasonings including salt contained in the recipe of the cooking record based on the input history of information indicating that a meal of the health improvement recipe menu was made in the health management app for a predetermined period. The acquisition unit 101 may also estimate the cooking skill of the second user based on the application information.

[0080] The acquisition unit 101 may also evaluate the behavioral change stage of the second user based on the application information acquired from the mobile terminal 300b, and determine the evaluation result as the second behavioral change stage. The acquisition unit 101 may determine the second behavioral change stage at predetermined time intervals according to the application information from the mobile terminal 300b. Specifically, the acquisition unit 101 may determine the second behavioral change stage so that the second behavioral change stage is higher the longer the viewing time of the health improvement recipe of the health management application, the higher the frequency of inputting information indicating that a meal of the menu of the health improvement recipe was made on that day, the higher the frequency of starting the health management application and / or the viewing amount of the guidance content of the health management application, the lower the amount and reduction rate of seasonings containing salt included in the recipe of the cooking record, and the higher the cooking skill.

[0081] The acquisition unit 101 may also acquire an evaluation of the behavior of the second user by the first user or an evaluation of the behavior of the second user by the second user himself, and may determine the second behavior change stage by further considering these evaluations. For example, the acquisition unit 101 may determine the indifference period as the second behavior change stage based on an evaluation that the user has no intention of cooking a meal of a recipe for improving health. For example, the acquisition unit 101 may determine the interest period as the second behavior change stage based on an evaluation that the user knows that a meal of a recipe for improving health is good for health (i.e., is interested in it), but has a preconceived notion that it is not tasty or takes a lot of time. For example, the acquisition unit 101 may determine the preparation period as the second behavior change stage based on an evaluation that the user intends to cook a meal of a recipe for improving health, but has not been able to take action (i.e., has not cooked it). For example, the acquisition unit 101 may determine the implementation period as the second behavior change stage based on an evaluation or track record that the user cooks a meal of a recipe for improving health, but has not felt a sufficient effect. Also, for example, the acquisition unit 101 may determine the maintenance phase as the second behavioral change stage based on an evaluation or track record that the patient continues to cook meals according to health improvement recipes, or that they do not mind reducing salt in their regular cooking, or that the meals are delicious.

[0082] The acquisition unit 101 may determine the second behavior change stage at every predetermined time according to the application information, and the timing of acquiring the application information is not limited to the above. In this manner, the acquisition unit 101 may acquire the second behavior change stage by determining the second behavior change stage. The acquisition unit 101 may acquire the second behavior change stage determined by the mobile terminal 300b from the mobile terminal 300b. The acquisition unit 101 may acquire the second behavior change stage determined by an external device (not shown) from the external device. The second behavior change stage is determined based on the application information generated in the mobile terminal 300b. The mobile terminal 300b may be a terminal used by the second user, and may be two or more terminals, not limited to one.

[0083] The acquisition unit 101 may also acquire a plurality of first behavioral change stages obtained by evaluating the behavioral change stages of a plurality of first users, respectively. The acquisition unit 101 may also acquire a plurality of second behavioral change stages obtained by evaluating the behavioral change stages of a plurality of second users, respectively. The plurality of first users are a plurality of supported users, and the plurality of second users are a plurality of supporting users. That is, the acquisition unit 101 may acquire a plurality of behavioral change stages obtained by evaluating a plurality of users including a plurality of supported users and a plurality of supporting users, respectively.

[0084] The comparison unit 102 compares the first behavior change stage with the second behavior change stage to identify a difference between the first behavior change stage and the second behavior change stage. For example, the comparison unit 102 may determine that there is a difference between the first behavior change stage and the second behavior change stage if they are different from each other, and may determine that there is no difference between the first behavior change stage and the second behavior change stage if they are the same. If the first behavior change stage and the second behavior change stage are different from each other, the comparison unit 102 may determine how many stages of difference there are between these stages.

[0085] When the comparison unit 102 determines that there is a difference, the notification unit 103 notifies the low-rated user of the behavior change stage of the low-rated user who is rated as having a low behavior change stage of the first user and the second user, and first support information corresponding to the difference. The first support information is information presented to the low-rated user to raise the behavior change stage of the low-rated user. The notification unit 103 determines, from among the multiple pieces of first support information stored in the storage unit 106, the first support information associated with a combination of the first behavior change stage and the second behavior change stage as the first support information to be notified to the low-rated user.

[0086] Furthermore, when the comparison unit 102 determines that there is a difference, the notification unit 103 further notifies the highly rated user of the behavioral change stage of the highly rated user who is rated to have a high behavioral change stage among the first user and the second user, and second support information corresponding to the difference. The second support information is information presented to the highly rated user to maintain or raise the behavioral change stage of the highly rated user. The notification unit 103 determines, among the multiple pieces of second support information stored in the storage unit 106, second support information associated with a combination of the first behavioral change stage and the second behavioral change stage as the second support information to be notified to the highly rated user. For example, the first support information includes at least one of advice, encouragement, and suggestions for raising the behavioral change stage of the low rated user, and behavioral information indicating the improvement behavior of the high rated user. For example, the second support information includes at least one of advice, encouragement, and suggestions for maintaining or raising the behavioral change stage of the highly rated user, and behavioral information indicating the improvement behavior of the low rated user.

[0087] The classification unit 104 classifies the multiple users into multiple groups according to the multiple behavioral change stages obtained by evaluating the multiple users including the multiple supported users and the multiple supporting users, so that users evaluated in similar behavioral change stages belong to the same group. The classification unit 104 may classify the multiple first users into multiple groups so that the first users evaluated in similar behavioral change stages belong to the same group. Also, the classification unit 104 may classify the multiple second users into multiple groups so that the second users evaluated in similar behavioral change stages belong to the same group. The multiple groups may be, for example, five groups, each of which may correspond to five behavioral change stages at which the first user may be evaluated. Also, the multiple groups may be, for example, a number of groups less than five groups, and users classified into two or more behavioral change stages may be classified into one group.

[0088] The extraction unit 105 acquires one or more first behaviors of one or more users belonging to a first group among the multiple groups, and extracts a second behavior that influences a transition to a higher behavior change stage from the acquired one or more first behaviors. Then, the notification unit 103 may notify one or more users currently belonging to the first group of the second behavior.

[0089] Here, the one or more first actions may be actions performed by one or more users currently belonging to the first group. That is, the extraction unit 105 extracts the second action from the one or more first actions performed by the one or more users currently belonging to the first group. In this case, the second action is an action that is estimated to have a high possibility of affecting a transition to a group (e.g., the second group) having a behavioral transformation stage next higher than the first group.

[0090] Furthermore, the one or more first actions may be actions that have influenced the transition from the first group to the second group of one or more users who currently belong to the second group, the second group having a behavioral change stage evaluated higher than that of the first group. In other words, the extraction unit 105 may extract the second action from one or more first actions performed by one or more users who have belonged to the first group in the past and currently belong to the second group having a higher behavioral change stage. In this case, the second action is an action that has influenced the transition to the second group in the past.

[0091] The storage unit 106 stores a plurality of pieces of first support information. The plurality of pieces of first support information are respectively associated with a plurality of combinations of a plurality of stages of a behavioral change stage for which a first user may be evaluated (for example, five stages of an indifferent stage, an interested stage, a preparation stage, an execution stage, and a maintenance stage) and a plurality of stages of a behavioral change stage for which a second user may be evaluated (for example, five stages of an indifferent stage, an interested stage, a preparation stage, an execution stage, and a maintenance stage). The storage unit 106 also stores a plurality of pieces of second support information. The plurality of pieces of second support information are respectively associated with a plurality of combinations of a plurality of stages of a behavioral change stage for which a first user may be evaluated (for example, five stages of an indifferent stage, an interested stage, a preparation stage, an execution stage, and a maintenance stage) and a plurality of stages of a behavioral change stage for which a second user may be evaluated (for example, five stages of an indifferent stage, an interested stage, a preparation stage, an execution stage, and a maintenance stage).

[0092] (Example of the first support information) For example, if the second user's stage of behavioral change is the indifferent stage and the first user's stage of behavioral change is the indifferent stage or above, the first support information may be instructional content that has the effect of improving food literacy and increasing motivation, such as the dangers of ignoring high blood pressure in a health app, the fact that small improvements in lifestyle habits can be effective, and the availability of delivery services such as meal kits and low-salt lunches for low-salt meals.

[0093] Also, for example, if the second user's behavioral change stage is the interest stage and the first user's behavioral change stage is the interest stage or higher, the first support information may be information (message) for suggesting to the second user to eat a meal kit or a low-salt lunch box before eating a low-salt menu. This is expected to dispel the preconception that low-salt meals are not tasty by having the first and second users actually eat the meal kit or low-salt lunch box.

[0094] In this case, the first support information may be instructional content that teaches the second user how to improve cooking skills, such as how to fillet fish.

[0095] Furthermore, in this case, when it is determined that the first user has eaten a healthier meal with a calorie (energy) content and salt content below a certain value compared to what the first user normally eats when eating out, the first support information may be the details of the first user's meal, or a message that the first user is making an effort to improve their eating habits.

[0096] Also, for example, if the second user's behavior change stage is the preparation stage and the first user's behavior change stage is the preparation stage or higher, the first support information may be information (message) for suggesting eating a meal kit or a low-salt lunch box before eating a low-salt menu. This is expected to dispel the preconception that low-salt meals are not tasty by having the first and second users actually eat the meal kit or low-salt lunch box.

[0097] In this case, the first support information may be instructional content for improving cooking skills, such as how to fillet fish.

[0098] Furthermore, in this case, when it is determined that the first user has eaten a healthier meal with a calorie (energy) content and salt content below a certain value compared to what the first user normally eats when eating out, the first support information may be the details of the first user's meal, or a message that the first user is making an effort to improve their eating habits.

[0099] In this case, for example, when the second user has tried a low-salt menu once and judged it to be unpleasant, the first support information may be information (message) suggesting to the first and second users that they eat a meal kit or a low-salt lunch box.

[0100] In this case, for example, when the second user has tried a low-salt menu once and judged it to be unpleasant, the first support information may be information (message) suggesting to the first and second users to choose a low-salt side dish rather than a main dish.

[0101] (An example of the relationship between the difference and support information) The first example is a case where the first user's behavioral change stage is the interest stage and the second user's behavioral change stage is the preparation stage. The first user is aware of a health issue but does not know how to solve it, so the behavioral change stage is evaluated as the interest stage. The second user is aware of the solution but has not taken any healthy action, so the behavioral change stage is evaluated as the preparation stage.

[0102] In the first example, since the behavioral change stage of the first user is lower than that of the second user, the notification target of the first support information is the first user, and since the second user has not yet taken concrete action (although partial action may have been started), support is provided with correct knowledge and information tailored to the first user. For example, the first support information includes a message for informing the first user of the health risks of leaving high blood pressure untreated. For example, the first support information includes a message for informing the first user that the recommended salt intake is 6g per day. For example, the first support information includes a message for informing the first user of problems with the diet based on the eating history information of the first user and improvements that the first user can make.

[0103] The second example is when the first user's behavioral change stage is the interest stage and the second user's behavioral change stage is the action stage. The first user is aware of a health issue but does not know how to solve it, so the behavioral change stage is evaluated as the interest stage. The second user is taking healthy actions in line with the solution, but may stop taking the action, so the behavioral change stage is evaluated as the action stage.

[0104] In the second example, since the behavioral change stage of the first user is lower than that of the second user, the notification target of the first support information is the first user, and since the second user has reached the implementation stage, in addition to providing support with correct knowledge and information tailored to the first user, the second user's implementation behavior (efforts) is conveyed to the first user. In addition, it is possible to provide learning opportunities (advice) by doing things together, such as shopping, so that the first user can gain correct knowledge and can be expected to be motivated to improve lifestyle habits by trying to repay the second user's ingenuity and effort (gratitude). For example, the first support information may include the following information in addition to messages similar to those in the first example. For example, the first support information includes information for sharing with the first user menu or recipe information that the second user is working on. For example, the first support information includes information for prompting the first user to input an impression of the menu or recipe. In addition, for example, the second support information is information provided to the second user and includes information for sharing with the second user the impression input by the first user. For example, the first support information includes information for sharing the menu or recipe shopping information with the first user, or information for requesting the second user to share the menu or recipe shopping information with the first user. For example, the first support information includes a message to the first user proposing to cook together with the second user.

[0105] The third example is when the first user's behavioral change stage is the preparation stage and the second user's behavioral change stage is the interest stage. The first user knows the solution but has not taken any healthy actions, so the behavioral change stage is evaluated as the preparation stage. The second user is aware of the health issue but does not know the solution, so the behavioral change stage is evaluated as the interest stage.

[0106] In a third example, since the second user is at a lower stage of behavioral change than the first user, the notification target of the first support information is the second user, and since the first user has not yet taken concrete action (although partial action may have been started), support is provided with correct knowledge and information tailored to the second user. For example, the first support information includes a message to inform the second user of the health risks of leaving high blood pressure untreated. Also, for example, the first support information includes a message to inform the second user that simply changing seasonings to low-salt ones can be effective (even a small change is fine).

[0107] The fourth example is a case where the first user's behavioral change stage is the action stage and the second user's behavioral change stage is the interest stage. The first user is taking healthy actions in line with the solution, but there is a possibility that the actions will stop, so the behavioral change stage is evaluated as the action stage. The second user is aware of the health issue but does not know how to solve it, so the behavioral change stage is evaluated as the interest stage.

[0108] In the fourth example, since the behavioral change stage of the second user is lower than that of the first user, the notification target of the first support information is the second user, and since the first user has reached the implementation stage, in addition to providing correct knowledge and information tailored to the second user, the first user's implementation behavior (efforts) is communicated to the second user. In addition, by sharing the changes of the first user with the second user, it is expected that this will lead to motivation of the second user, as a cook, to support the improvement of the lifestyle habits of the first user. For example, the first support information may include the following information in addition to messages similar to those in the third example. For example, the first support information includes information for sharing the changes in the eating history (salt intake) of the first user, and changes in blood pressure and weight with the second user.

[0109] (Mobile devices) The mobile terminals 300a and 300b are smartphones, tablet terminals, and the like, owned by the users.

[0110] The mobile terminal 300a includes a communication unit 301a, a reception unit 302a, a control unit 303a, and a display unit 304a. The mobile terminal 300b includes a communication unit 301b, a reception unit 302b, a control unit 303b, and a display unit 304b. The communication unit 301a, the reception unit 302a, the control unit 303a, and the display unit 304a included in the mobile terminal 300a are the same as the communication unit 301b, the reception unit 302b, the control unit 303b, and the display unit 304b included in the mobile terminal 300b, respectively. Therefore, the configuration of the mobile terminal 300a will be described. The mobile terminals 300a and 300b include a processor and a memory. The functions of the mobile terminals 300a and 300b may be realized by the processor executing a program stored in the memory. In the following description, the mobile terminals 300a and 300b may be referred to as mobile terminal 300.

[0111] The communication unit 301a transmits and receives information to and from the server 100 via the network 400. The communication unit 301a receives various support information (for example, first support information, second support information, etc.) from the server 100. The communication unit 301a may also receive performance information from the server 100. The communication unit 301a may also transmit eating information indicating the eating contents of the user input by the user to the server 100. The communication unit 301a may also transmit a request for one or more first eating histories and receive eating history information indicating one or more first eating histories. The one or more first eating histories are stored in the storage unit 106 of the server 100. The one or more first eating histories are composed of one or more pieces of eating information periodically transmitted from the mobile terminal 300a. The one or more first eating histories are associated with a user ID and managed for each user.

[0112] The reception unit 302a is an input IF (Interface) that receives input from the first user. The reception unit 302 may receive a selection of a meal menu that has been eaten (or will be eaten) from among a plurality of meal menu candidates. The selection may be made based on, for example, an input from the first user to a touch panel of the mobile terminal 300a of one of the one or more menu candidates included in the UI displayed on the display unit 304a.

[0113] When the communication unit 301a receives various types of support information or action information, the control unit 303a displays presentation information based on the received various types of support information or action information on the display unit 304a.

[0114] The display unit 304a is a display that displays images and UI. The display unit 304a displays images and UI generated by the control unit 303a. The display unit 304a is an example of a presentation unit that displays presentation information.

[0115] (Example of a mobile device) Fig. 8 is a diagram for explaining a specific configuration of a mobile terminal, and is a schematic block diagram of a smartphone as a mobile terminal.

[0116] As shown in FIG. 8, the mobile terminal 300 includes a speaker 311, a communication unit 312, a touch panel 313, a fingerprint sensor 314, a face authentication sensor 315, a battery 316, a power supply unit 317, a display unit 318, a control unit 319, a memory unit 320, a GPS 321, a three-axis acceleration sensor 322, a three-axis angular velocity sensor 323, a proximity sensor 324, a magnetic sensor 325, an ambient light sensor 326, a microphone 327, and a camera 328.

[0117] The control unit 319 can comprehensively control the mobile terminal 300, and includes a CPU (Central Processing Unit) and a storage element (e.g., SRAM, etc.) not shown. The display unit 318 is a display that displays text, graphics, etc. based on information received from the control unit 319. The storage unit 320 stores an OS (Operating System) that is read and executed by the control unit 319, various application programs (generally called smartphone apps), and various data used by the various programs. The storage unit 320 has a non-volatile storage area.

[0118] The communication unit 312 realizes a wireless communication function such as LTE (Long Term Evolution) or 5G, is wirelessly connected to a base station of a mobile phone communication network (not shown), and communicatively connects to the Internet via the base station. The communication unit 312 may realize a wireless communication function using Bluetooth or wireless LAN (e.g., Wi-Fi). The communication unit 312 may be communicatively connected to the Internet via another communication device using Bluetooth (registered trademark) or wireless LAN (e.g., Wi-Fi (registered trademark)).

[0119] The touch panel 313 receives input from the user to the UI displayed on the display unit 318, and transmits a signal based on the input (e.g., which part of the screen is being touched and how much pressure is being applied) to the control unit 319. The GPS 321 measures the position of the mobile terminal 300 on the earth. The three-axis acceleration sensor 322 sets X / Y / Z axes for the mobile terminal 300 and measures the acceleration of each axis. The three-axis angular velocity sensor 323 measures the angular velocity in the rotation direction for each axis. The proximity sensor 324 detects something approaching (e.g., a face approaching the smartphone). The magnetic sensor 325 detects geomagnetism and indicates the direction. The ambient light sensor 326 detects the brightness around the mobile terminal 300. The microphone 327 collects surrounding sounds and voices. The camera 328 captures the front side of the mobile terminal 300 on which the display unit 318 is located, or the opposite rear side. The speaker 311 emits sound based on an audio signal generated by the control unit 319. The fingerprint sensor 314 is used for user authentication and detects a person's fingerprint. The face authentication sensor 315 authenticates a person's face. The face authentication sensor 315 may be realized by combining an infrared camera, a flood illuminator, a dot projector, or the like with a group of sensors (a proximity sensor, a camera, and an ambient light sensor).

[0120] Power supply unit 317 receives power from an external power supply. Battery 316 stores the external power received by power supply unit 317 and supplies the stored power as power for operating mobile terminal 300.

[0121] [Operation] Next, a first example of the operation of notifying support information of the lifestyle habit improvement system 10 will be described.

[0122] FIG. 9 is a sequence diagram showing a first example of the operation of the lifestyle habit improvement system for notifying support information.

[0123] The mobile terminal 300a transmits various information to the server 100 via the network 400 (S101). The various information includes the eating information of the first user and application information generated by the first user operating the mobile terminal 300a. The various information may include biological information of the first user.

[0124] The mobile terminal 300b transmits various information to the server 100 via the network 400 (S102). The various information includes application information generated by the second user operating the mobile terminal 300b.

[0125] Through steps S101 and S102, the server 100 receives various information from the mobile terminals 300a and 300b, and stores the various information in the storage unit 106. The order of steps S101 and S102 may be reversed.

[0126] Next, the server 100 determines the behavioral change stage of the supported user (S103). The server 100 evaluates the behavioral change stage of the first user based on the eating information, the application information, and the biological information acquired from the mobile terminal 300a, and determines the evaluation result as the first behavioral change stage.

[0127] Next, the server 100 determines the behavior change stage of the assistance user (S104). The server 100 evaluates the behavior change stage of the second user based on the application information acquired from the mobile terminal 300b, and determines the evaluation result as the second behavior change stage.

[0128] The order of steps S103 and S104 may be reversed. Furthermore, steps S103 and S104 may be performed by mobile terminal 300a and mobile terminal 300b, respectively. In this case, mobile terminal 300a transmits the determined first behavior change stage to server 100, and mobile terminal 300b transmits the determined second behavior change stage to server 100. In this way, server 100 may acquire the first behavior change stage and the second behavior change stage from mobile terminals 300a and 300b.

[0129] Next, the server 100 compares the first behavior change stage with the second behavior change stage to identify a difference between the first behavior change stage and the second behavior change stage (S105).

[0130] Next, the server 100 detects the peculiar behavior of the supported user (S106). The peculiar behavior is the behavior of the supported user that influences the behavioral change stage of the supported user to transition to a higher stage. The influence of transitioning to a higher stage may be specified according to a method of determining the behavioral change stage.

[0131] Next, when the comparison unit 102 determines that there is a difference, the server 100 notifies the low-rated user of the behavior change stage of the low-rated user who is rated as having a low behavior change stage of the first user and the second user, and first support information according to the difference (S107). When the second behavior change stage is lower than the first behavior change stage, the server 100 notifies the mobile terminal 300b of the second user of the first support information, as shown in Fig. 9. Conversely, when the first behavior change stage is lower than the second behavior change stage, the server 100 notifies the mobile terminal 300a of the first user of the first support information.

[0132] The mobile terminal 300b receives the first support information and presents the first presentation information based on the received first support information (S108). When the mobile terminal 300a receives the first support information, the mobile terminal 300a presents the first presentation information based on the received first support information.

[0133] Next, when it is determined that there is a difference, the server 100 notifies the highly rated user of the behavior change stage of the highly rated user who is rated as having a high behavior change stage of the first user and the second user, and second support information according to the difference (S109). When the second behavior change stage is lower than the first behavior change stage, the server 100 notifies the mobile terminal 300a of the first user of the second support information, as shown in Fig. 9. Conversely, when the first behavior change stage is lower than the second behavior change stage, the server 100 notifies the mobile terminal 300b of the second user of the second support information.

[0134] The mobile terminal 300a receives the second support information and presents second presentation information based on the received second support information (S110). When the mobile terminal 300b receives the second support information, the mobile terminal 300b presents presentation information based on the received second support information.

[0135] 10 is a sequence diagram showing a second example of the operation of notifying support information of the lifestyle habit improvement system. In this sequence diagram, steps S101 to S104 are the same as in FIG. 9, so different steps S111 to S115 will be mainly described.

[0136] Following step S104, the server 100 classifies the users into a plurality of groups according to a plurality of behavioral change stages obtained by evaluating the plurality of users including the plurality of supported users and the plurality of supporting users, such that users evaluated into similar behavioral change stages belong to the same group (S111). The groups may be classified for each supported user or each supporting user. The groups may be further classified for each attribute of the supported user. The attributes of the supported user may be classification based on the type of illness of the supported user, the biological information of the supported user, or basic information of the supported user (age, sex, height, weight). The groups may be further classified for each attribute of the supporting user. The attributes of the supporting user may be classification based on the type of illness of the supported user supported by the supporting user, the biological information of the supported user supported by the supporting user, or the supporting skill of the supporting user (for example, cooking skill).

[0137] Next, the server 100 checks changes in behavioral change from the eating information, app information, and biometric information that are the subject of the evaluation of the behavioral change stage of the first user and the second user, and determines (searches) whether or not there is a behavioral change (S112). Changes in behavioral change based on eating information include, for example, changes in eating contents (changes in estimated energy intake amount and salt intake amount), changes in meal times (regularity of meal times), changes in contents and frequency of eating out and ready-made meals, changes in amount and frequency of snacks, etc. Changes in behavioral change based on app information include, for example, changes in frequency of opening a health management app, changes in time spent browsing the contents of the health management app, changes in time spent browsing a recipe, changes in cooking results of a recipe, changes in frequency of use of external services (food delivery, inquiries to experts by chat, etc.), etc. Changes in behavioral change based on biometric information include, for example, changes in the number of times biometric information (blood pressure, weight, etc.) is recorded and viewed, and changes in the number of times exercise information is recorded and viewed (number of steps, etc.).

[0138] Next, the server 100 extracts characteristic behaviors (S113). The server 100 extracts characteristic behaviors that are triggers of behaviors that lead to behavioral changes of the first or second user, and behaviors that have been effective in changing the behavior. A characteristic behavior based on eating information is, for example, continued photo registration and manual input of meal contents. This makes it possible to infer that the user is aware of changes in meal contents (changes in the amount of ingested energy or salt intake estimated from the photos). A characteristic behavior based on eating information is a change in the contents and frequency of eating out and eating out, and is a behavior in which it can be inferred that a change has occurred in the first user's biological information as a result. A characteristic behavior based on eating information is a change in the amount of snacks (a decrease in the amount), a change in the contents of snacks (e.g., from snacks to fruit), and a change in the frequency of snacks (a decrease in frequency). A characteristic behavior based on eating information is a change in the frequency of use of reduced-salt meal kits, reduced-salt lunches, and reduced-salt recipe cooking (an increase in frequency). Furthermore, characteristic behaviors based on app information include changes in the frequency of launching a health management app (increase in frequency) and changes in the time spent browsing the app (increase in time). Further, characteristic behaviors based on app information include changes in the time spent browsing a recipe (increase in time) and changes in cooking performance (increase in number of times cooking). Further, characteristic behaviors based on app information include changes in the frequency of use of external services (increase in frequency). Further, characteristic behaviors based on biometric information include changes in the number of times biometric information is recorded (increase in number of times), changes in the number of times exercise information is recorded (increase in number of times), and continuation of regular recording.

[0139] Next, the server 100 may notify the behavior information indicating the extracted characteristic behavior to one or more users who currently belong to the same group as the group to which the user belonged when the characteristic behavior was performed (S114).

[0140] Next, the server 100 stores the behavior information indicating the extracted characteristic behavior in the storage unit 106 for each group to which the user belonged when the characteristic behavior was performed (S115).

[0141] One or more mobile terminals 300a owned by one or more users who belong to the group to which the notification is directed receive the behavior information, and present presentation information (behavior) based on the received behavior information (S116).

[0142] [Eating history entry operations] Next, an example of the operation of the lifestyle habit improvement system 10 regarding the input of an eating history will be described.

[0143] FIG. 11 is a flowchart showing an example of an operation related to input of an eating history in the lifestyle habit improvement system.

[0144] The mobile terminal 300 accepts input of an eating history (S151). A specific example of step S151 will be described later.

[0145] Next, the mobile terminal 300 generates eating history information based on the received input, and stores the generated eating history information (S152). Note that the eating history information may be transmitted to the server 100 and stored therein.

[0146] (First example) FIG. 12 is a flowchart showing a first example of an eating history input process.

[0147] When a user inputs an eating history using an app on the mobile terminal 300, the mobile terminal 300 acquires a current location using a GPS or the like, and compares the acquired current location with location information of the user's home to determine whether the current location is at home or outside the home (S161).

[0148] When the mobile terminal 300 determines that the current location is the home ("Home" in S161), it presumes that the meal the user is about to input was cooked at home, and presents the user with a menu list stored in the app or in the server 100 connected via the Internet (S162). In the following step S166, the mobile terminal 300 receives a selection of the menu eaten (or the menu to be eaten) from the user, thereby inputting the eating history. Other methods of inputting the eating history include inputting by taking a photo, inputting from the browsing history of cooking recipes, etc.

[0149] When the mobile terminal 300 determines that the current location is outside the home ("outside the home" in S161), it presumes that the meal the user is about to input is eating out, and searches for food-providing facilities such as restaurants around the current location based on the location information. The mobile terminal 300 then presents the user with a list of potential eating out locations (S163). When presenting this list of food-providing facilities, the mobile terminal 300 may highlight facilities that the user has used in the past, allowing the user to easily select from the list.

[0150] Next, the mobile terminal 300 receives a selection of a food providing facility from the user (S164).

[0151] Next, the mobile terminal 300 searches for menus provided by the selected food service facility, and if the menus are disclosed, presents the menu list to the user (S165). Then, in the following step S166, the mobile terminal 300 receives a selection of the menu eaten (or the menu to be eaten) from the user, thereby inputting the eating history. Here, if the food service facility also discloses nutritional information such as salt content in association with the menu information, the mobile terminal 300 may obtain the nutritional information.

[0152] This means that when eating out, the dining establishment where the meal was eaten and the menu of the food served there can be easily identified, reducing the effort of inputting eating history, and at the same time, if nutritional information is disclosed, it is expected to improve the accuracy of data such as salt intake.

[0153] It is also known that when eating out, the salt content tends to be higher than when the food is cooked at home, even if the menu is the same. This is because a lot of salt tends to be used to make the food taste better and to improve the shelf life of the food. For example, it is known that meat and potatoes eaten at a restaurant have a higher salt content than meat and potatoes cooked at home.

[0154] Therefore, when it is estimated that a meal was eaten out as described above, the estimated salt intake corresponding to the input eating history may be calculated to be higher than usual (when cooked at home). This allows for the salt intake that is higher than expected when eating out to be taken into account, and prevents deviation from the target salt intake.

[0155] (Second example) FIG. 13 is a flowchart showing a second example of the eating history input process.

[0156] The application for managing the eating history of the mobile terminal 300 may have a function for searching for cooking recipes.

[0157] When the user inputs an eating history using an application of the mobile terminal 300, the mobile terminal 300 determines whether or not there is a history of browsing a cooking recipe (S171).

[0158] When the mobile terminal 300 determines that there is no history of browsing cooking recipes (No in S171), it presents to the user a menu list stored in the app or in the server 100 connected via the Internet (S172). In the following step S175, the mobile terminal 300 receives a selection of a menu item eaten (or a menu item to be eaten) from the user, thereby inputting an eating history. Other methods of inputting an eating history include inputting by taking a photograph.

[0159] When the mobile terminal 300 determines that there is a browsing history of the cooking recipe (Yes in S171), it rearranges the menu list stored in the app or in the server 100 connected via the Internet according to the browsing history (S173). Specifically, the mobile terminal 300 rearranges the menu list so that the meal menu corresponding to the cooking recipe included in the browsing history is at the top of the list. Note that when a cooking recipe is browsed, the mobile terminal 300 may present to the user the meal menu of the cooking recipe itself in the browsing history in the menu list.

[0160] Then, the mobile terminal 300 presents the rearranged menu list to the user (S174). In the following step S175, the mobile terminal 300 receives a selection of the menu item eaten (or the menu item to be eaten) from the user, thereby inputting an eating history. Other methods of inputting an eating history include inputting the menu item by taking a photograph.

[0161] This allows menu items that are more likely to have been cooked to be displayed at the top of the list, making it easier for the user to select a menu item that has been eaten.

[0162] (Third example) FIG. 14 is a flowchart showing a third example of the eating history input process.

[0163] The application for managing the eating history of the mobile terminal 300 may have a function for storing or searching the purchasing history of ingredients at stores or the like.

[0164] When a user inputs an eating history using an application of the mobile terminal 300, the mobile terminal 300 determines whether or not there is a purchasing history of an ingredient (S181).

[0165] If the mobile terminal 300 determines that there is no purchasing history of ingredients (No in S181), it presents to the user a menu list stored in the app or in the server 100 connected via the Internet (S182). In the following step S186, the mobile terminal 300 receives a selection of a menu item eaten (or a menu item to be eaten) from the user, thereby inputting an eating history. Other methods of inputting an eating history include inputting by taking a photo, inputting from a cooking recipe browsing history, etc.

[0166] When the mobile terminal 300 determines that there is a purchasing history of the ingredients (Yes in S181), it estimates a menu that can be cooked from the purchasing history of the ingredients (S183).

[0167] Next, the mobile terminal 300 rearranges the menu list held within the app or in the server 100 connected via the Internet according to the estimation result (S184). Specifically, the mobile terminal 300 rearranges the menu list so that the menu of the estimation result is at the top of the list.

[0168] Then, the mobile terminal 300 presents the rearranged menu list to the user (S185). In the following step S186, the mobile terminal 300 receives a selection of the menu eaten (or the menu to be eaten) from the user, thereby inputting the eating history. Other methods of inputting the eating history include inputting by taking a photo, inputting from the browsing history of cooking recipes, etc.

[0169] This allows menu items that are more likely to have been cooked to be displayed at the top of the list, making it easier for the user to select a menu item that has been eaten.

[0170] (Example 4) FIG. 15 is a flowchart showing a fourth example of the eating history input process.

[0171] When the user inputs an eating history using the application of the mobile terminal 300, the mobile terminal 300 judges whether the user has had a snack (S191). Specifically, if there is no eating history input after the input of the lunch eating history during the dinner time slot (e.g., 17:00 to 22:00), the mobile terminal 300 presents a UI that asks the user whether they have eaten sweets or the like (i.e., a snack) between lunch and dinner. If an input indicating that a snack has been eaten is made, the mobile terminal 300 judges that a snack has been eaten, and if an input indicating that a snack has not been eaten is made, the mobile terminal 300 judges that a snack has not been eaten.

[0172] When the mobile terminal 300 determines that a snack is to be consumed (Yes in S191), the mobile terminal 300 prompts the user to input whether or not the user has consumed a snack (S192).

[0173] When it is determined that there is no snack (No in S191), or after step S192, the mobile terminal 300 accepts an input of eating dinner (S193).

[0174] In this way, when the user has a snack before dinner, the mobile terminal 300 can receive an eating input of the snack together with an eating input of the dinner.

[0175] Note that the mobile terminal 300 may similarly confirm with the user whether or not there was a snack after dinner on the previous day when inputting the eating history for breakfast, and whether or not there was a snack after breakfast when inputting the eating history for lunch.

[0176] Furthermore, for an after-dinner snack, the mobile terminal 300 may detect before going to bed and confirm with the user whether or not there is a snack after dinner.

[0177] Furthermore, the mobile terminal 300 may check with the user before going to bed whether or not there are any omissions in the input of the eating history for three meals (breakfast / lunch / dinner).

[0178] In addition, when the mobile terminal 300 accepts input of a user's dinner eating history into an app that manages eating history, if there is a usage history of a meal delivery service in another app, it may obtain the usage history from that smartphone app and display it as an option for eating history input.

[0179] As a result of the above, it is possible to prevent forgetting to enter snack eating history, which is something that is easily forgotten or can be a burden, and to reduce the effort required for entering eating history.

[0180] [Effects, etc.] The lifestyle habit improvement system 10 according to the present embodiment includes an acquisition unit 101, a comparison unit 102, and a notification unit 103. The acquisition unit 101 acquires a first behavior change stage of a first user who receives support for lifestyle habit improvement and a second behavior change stage of a second user who supports the lifestyle habit improvement of the first user. The comparison unit 102 compares the first behavior change stage with the second behavior change stage to identify a difference between the first behavior change stage and the second behavior change stage. When there is a difference, the notification unit 103 notifies the low-rated user of the behavior change stage of a low-rated user who is evaluated to have a low behavior change stage of the first user and the second user, and first support information according to the difference, the first support information being for raising the behavior change stage of the low-rated user.

[0181] According to this, when the first behavior change stage is compared with the second behavior change stage and there is a difference between the two behavior change stages, the low-rated user is notified of first support information corresponding to the lower behavior change stage and the difference, thereby effectively raising the behavior change stage of the low-rated user.

[0182] Moreover, the lifestyle habit improving system 10 according to the present embodiment further includes a storage unit 106. The storage unit 106 stores a plurality of pieces of first support information. Each of the plurality of pieces of first support information is associated with a plurality of combinations of a plurality of stages of the behavior change stage for which a first user can be evaluated and a plurality of stages of the behavior change stage for which a second user can be evaluated. The notification unit 103 determines, among the plurality of pieces of first support information, a piece of first support information associated with a combination of the first behavior change stage and the second behavior change stage as the first support information to be notified to the low-rated user, and notifies the low-rated user of the determined first support information.

[0183] Therefore, it is possible to determine appropriate first support information for low-rated users according to the lower behavior change stage and the difference.

[0184] Furthermore, in the lifestyle habit improvement system 10 according to this embodiment, when there is a difference, the notification unit 103 further notifies the highly rated user of the behavior change stage of the highly rated user who is rated as having a high behavior change stage among the first user and the second user, and second support information corresponding to the difference, the second support information being for maintaining or raising the behavior change stage of the highly rated user.

[0185] According to this, when the first behavior change stage is compared with the second behavior change stage and there is a difference between the two behavior change stages, second support information corresponding to the higher behavior change stage and the difference is further notified to the highly rated user, thereby effectively raising the behavior change stage of the highly rated user.

[0186] The lifestyle habit improving system 10 according to the present embodiment further includes a storage unit 106. The storage unit 106 stores a plurality of pieces of first support information and a plurality of pieces of second support information. The plurality of pieces of first support information are respectively associated with a plurality of combinations of a plurality of stages of a behavior change stage for which a first user may be evaluated and a plurality of stages of a behavior change stage for which a second user may be evaluated. The plurality of pieces of second support information are respectively associated with a plurality of combinations of a plurality of stages of a behavior change stage for which a first user may be evaluated and a plurality of stages of a behavior change stage for which a second user may be evaluated. The notification unit 103 determines, among the plurality of pieces of first support information, the first support information associated with a combination of the first behavior change stage and the second behavior change stage as the first support information for notifying the low-rated user, and notifies the low-rated user of the determined first support information. In addition, the notification unit 103 determines, among the multiple pieces of second support information, the second support information that corresponds to a combination of the first behavior change stage and the second behavior change stage as the second support information to be notified to the highly rated user, and notifies the highly rated user of the determined second support information.

[0187] Therefore, it is possible to determine appropriate first support information for low-rated users based on the lower behavior change stage and the difference, and appropriate second support information for high-rated users based on the higher behavior change stage and the difference.

[0188] In the lifestyle habit improving system 10 according to the present embodiment, the first behavior change stage is determined at a predetermined time interval according to at least one of a record of the first user's daily living activities, a browsing history of an app for managing the first user's health condition on a first terminal (mobile terminal 300a) owned by the first user, the first user's biological information, and the amount of exercise of the first user. The second behavior change stage is determined at a predetermined time interval according to a browsing history of an app for managing the first user's health condition on a second terminal (mobile terminal 300b) owned by the second user, and the cooking skill of the second user.

[0189] According to this, an appropriate first behavior change stage is determined according to the behavior and state of the first user, and an appropriate second behavior change stage is determined according to the behavior and state of the second user, so that first support information can be determined that can effectively raise the behavior change stage of low-rated users.

[0190] In addition, in the lifestyle habit improvement system 10 of this embodiment, the behavior change stage is an index that represents the strength of a person's intention to change their daily behavior in order to transition from a first state to a second state that is improved from the first state.

[0191] This makes it possible to determine a behavior change stage according to the strength of the user's intention to change his or her daily behavior.

[0192] In addition, in the lifestyle habit improvement system 10 according to this embodiment, the first support information includes at least one of advice, encouragement, and behavioral information indicating the improving behavior of the highly rated user, for raising the behavioral change stage of the low rated user.

[0193] This makes it possible to effectively raise the behavioral change stage of low-rated users.

[0194] The lifestyle habit improvement system 10 according to the present embodiment includes an acquisition unit 101, a classification unit 104, an extraction unit 105, and a notification unit 103. The acquisition unit 101 acquires a plurality of behavioral change stages obtained by evaluating the behavioral change stages of a plurality of users. The classification unit 104 classifies the plurality of users into a plurality of groups according to the plurality of behavioral change stages so that users evaluated to similar behavioral change stages belong to the same group. The extraction unit 105 acquires one or more first behaviors of one or more users belonging to a first group among the plurality of groups, and extracts a second behavior that affects a transition to a higher behavioral change stage from the acquired one or more first behaviors. The notification unit 103 notifies one or more users currently belonging to the first group of the one or more users of the second behavior.

[0195] According to this, a second behavior that influences a transition to a higher behavioral change stage among one or more first behaviors of each of one or more second users belonging to the first group is notified to one or more third users currently belonging to the first group, which may raise the one or more third users to a higher behavioral change stage.

[0196] In addition, in the lifestyle habit improving system 10 according to this embodiment, the one or more first actions are actions performed by one or more third users.

[0197] According to this, since the second behavior is extracted from the behaviors performed by one or more third users who currently belong to the first group, it is possible to notify the one or more third users of behavior information indicating the behavior of users who are classified into the same group as the one or more third users to be notified. Therefore, it is possible to more effectively raise the one or more third users to a higher behavior change stage.

[0198] In addition, in the lifestyle habit improvement system 10 according to this embodiment, the one or more first actions are actions that have influenced the transition from the first group to the second group by one or more fourth users who currently belong to a second group whose behavior change stage is evaluated to be higher than that of the first group.

[0199] According to this, the behavior performed by one or more fourth users who belonged to the first group and influenced the transition from the first group to the second group is extracted as the second behavior, so that the behavior that has a proven track record of influencing the group transition can be extracted as the second behavior. In other words, there is a possibility that one or more third users can be more effectively elevated to a higher behavior change stage.

[0200] In addition, in the lifestyle habit improvement system 10 according to this embodiment, the multiple first users include multiple supported users who receive support for improving their lifestyle habits, and multiple supporting users who each support the multiple supported users in improving their lifestyle habits.

[0201] In the lifestyle habit improving system 10 according to the present embodiment, the behavioral change stage of the assisted user is determined for each predetermined period according to at least one of the records of the assisted user's daily living activities, the browsing history of the application managing the assisted user's health condition on a first terminal (mobile terminal 300a) owned by the assisted user, the biological information of the assisted user, and the amount of exercise of the assisted user. The behavioral change stage of the assisting user is determined for each predetermined period according to the browsing history of the application managing the assisted user's health condition on a second terminal (mobile terminal 300b) owned by the assisting user, and the assisting skill of the assisting user.

[0202] According to this, an appropriate first behavioral change stage is determined according to the behavior and state of the supported user, and an appropriate second behavioral change stage is determined according to the behavior and state of the supporting user, so that the second behavior that can effectively raise the behavioral change stage of the low-rated user can be provided to one or more users currently belonging to the first group.

[0203] In addition, in the lifestyle habit improvement system 10 of this embodiment, the behavior change stage is an index that represents the strength of a person's intention to change their daily behavior in order to transition from a first state to a second state that is improved from the first state.

[0204] This makes it possible to determine a behavior change stage according to the strength of the user's intention to change his or her daily behavior.

[0205] [Variations] In the lifestyle habit improvement system 10 according to the above embodiment, at least one of the mobile terminal 300a and the mobile terminal 300b may have all or a part of the functions of the acquisition unit 101, the comparison unit 102, the notification unit 103, the classification unit 104, the extraction unit 105, and the storage unit 106 included in the server 100. In addition, in the lifestyle habit improvement system 10, the server 100 may have all or a part of the functions of the control unit 303a included in the mobile terminal 300a and the control unit 303b included in the mobile terminal 300b.

[0206] [others] In the above embodiment and its modified examples, each component may be configured with dedicated hardware, or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

[0207] As described above, the embodiments have been described as examples of the technology in the present disclosure, and the accompanying drawings and detailed description have been provided for this purpose.

[0208] Therefore, among the components described in the attached drawings and the detailed description, not only are there components essential for solving the problem, but there may also be components that are not essential for solving the problem in order to illustrate the above technology. Therefore, the fact that such non-essential components are described in the attached drawings or the detailed description should not be interpreted as immediately indicating that such non-essential components are essential.

[0209] Furthermore, since the above-described embodiments are intended to illustrate the technology of the present disclosure, various modifications, substitutions, additions, omissions, and the like can be made within the scope of the claims or their equivalents. [Industrial Applicability]

[0210] The present disclosure is applicable to a lifestyle habit improvement system that can effectively raise the behavior change stage of a user who receives support for improving a lifestyle habit and a user who is supported in improving a lifestyle habit. [Explanation of symbols]

[0211] 10 Lifestyle Improvement System 100 Servers 101 Acquisition Department 102 Comparison section 103 Notification Department 104 Classification Department 105 Extraction part 106 Storage section 300 Mobile Devices 301 Communications Department 302 Reception 303 Control Unit 304 Display section 311 Speaker 312 Communications Department 313 Touch Panel 314 Fingerprint Sensor 315 Face Recognition Sensor 316 Battery 317 Power supply section 318 Display section 319 Control Unit 320 Storage section 321 GPS 322 Three-axis acceleration sensor 323 Three-axis angular rate sensor 324 Proximity Sensor 325 Magnetic Sensor 326 Ambient Light Sensor 327 Mike 328 Camera 400 Network

Claims

1. an acquisition unit that acquires a plurality of first behavior change stages that are obtained by periodically evaluating the behavior change stages of a plurality of users; A classification unit that classifies the plurality of users into a plurality of groups according to the plurality of first behavior change stages such that users evaluated to have similar behavior change stages belong to the same group; an extraction unit that acquires one or more first behaviors of one or more users belonging to a first group among the plurality of groups, and extracts a second behavior that influences a transition to a higher behavior change stage from the acquired one or more first behaviors; a notification unit that notifies the one or more users belonging to the first group of behavior information indicating the second behavior, The extraction unit is The one or more first behaviors are acquired based on eating information regarding eating of each user, application information regarding browsing of a health management application, and biological information obtained from one or more mobile devices of the one or more users; The second behavior is extracted as at least one of the following: (i) continuing to register photos of meal contents and manually input them for a predetermined period of time; (ii) improving the contents of eating out and take-out meals or reducing the frequency; (iii) reducing the amount of snacks, improving the contents of snacks, or reducing the frequency of snacking; (iv) increasing the frequency of using reduced-salt meal kits, increasing the frequency of using reduced-salt lunches, or increasing the frequency of cooking reduced-salt recipes; (v) increasing the frequency of launching a health management app or increasing the time spent looking at the app; (vi) increasing the time spent looking at recipes or increasing the number of times cooking is done; (vii) increasing the frequency of using food delivery services; and (viii) increasing the number of times biometric information is recorded, increasing the number of times exercise information is recorded, or continuing regular recording for a predetermined period of time. Lifestyle improvement system.

2. The one or more first actions are actions taken by the one or more users who belong to the first group. The lifestyle improvement system according to claim 1 .

3. The one or more first behaviors are behaviors that have influenced the transition of one or more users currently belonging to a second group, the second group having a behavioral change stage evaluated higher than that of the first group, from the first group to the second group. The lifestyle improvement system according to claim 1 .

4. The plurality of users includes a plurality of supported users who receive support for improving lifestyle habits, and a plurality of assisting users who each assist the plurality of supported users in improving their lifestyle habits. The lifestyle improvement system according to claim 1 .

5. the first behavioral change stage of the assisted user is determined at a predetermined time interval according to at least one of a record of the assisted user's daily living activities, a browsing history of an application for managing the assisted user's health condition on a first terminal owned by the assisted user, biological information of the assisted user, and an amount of exercise of the assisted user; The first behavioral change stage of the assistant user is determined for each predetermined period of time according to a browsing history of an application for managing the health condition of the assistant user on a second terminal owned by the assistant user and the assistance skill of the assistant user. The lifestyle improvement system according to claim 4.

6. The behavior change stage is an index that indicates the strength of a person's intention to change his or her daily behavior in order to transition from a first state to a second state that is an improvement over the first state. The lifestyle improvement system according to any one of claims 1 to 4.

7. A control method for a lifestyle habit improvement system having one or more processors and a presentation unit, comprising: the one or more processors acquire a plurality of first behavior change stages obtained by periodically evaluating the behavior change stages of a plurality of users, respectively; acquire one or more first behaviors of each of one or more users belonging to a first group among a plurality of groups into which the plurality of users are classified such that users evaluated to have similar behavior change stages belong to the same group according to the plurality of first behavior change stages; notifying one or more users belonging to the first group of behavior information indicating a second behavior that influences a transition to a higher behavior change stage among the one or more first behaviors acquired; In acquiring the one or more first behaviors, the one or more first behaviors are acquired based on eating information regarding eating of each user, application information regarding browsing of a health management application, and biological information obtained from one or more mobile devices of the one or more users; In the notification, at least one of the following is extracted as the second behavior: (i) continuing to register and manually input photos of meal contents for a predetermined period of time; (ii) improving the contents of eating out and take-out meals or reducing the frequency; (iii) reducing the amount of snacks, improving the contents of snacks, or reducing the frequency of snacking; (iv) increasing the frequency of using reduced-salt meal kits, increasing the frequency of using reduced-salt lunches, or increasing the frequency of cooking reduced-salt recipes; (v) increasing the frequency of launching a health management app or increasing the time spent looking at the app; (vi) increasing the time spent looking at recipes or increasing the number of times cooking is done; (vii) increasing the frequency of using food delivery services; and (viii) increasing the number of times biometric information is recorded, increasing the number of times exercise information is recorded, or continuing regular recording for a predetermined period of time. Control methods.

8. A program for causing a computer to execute the lifestyle habit improving method according to claim 7.

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