Information processing system, information processing method, and program

Abstract

To provide a technique for assisting in improving effectiveness of lifestyle improvement actions.SOLUTION: An information processing system comprising one or more processors is provided, the one or more processors being configured to present one or more action categories with high priority based on information on lifestyle of a target user, and present the target user with one or more actions to be implemented by the target user in the presented one or more actions categories.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present disclosure relates to an information processing system, an information processing method, and a program. [Background technology]

[0002] Currently, U.S. companies are showing increasing interest in digital therapeutics (DTx), which uses digital technology to assist in the prevention, diagnosis, and treatment of diseases, in an effort to reduce the incidence of chronic diseases. Summary of the Invention [Problem to be solved by the invention]

[0003] As companies become more interested in DTx, the demand for clinical evidence is growing.

[0004] One embodiment of the present disclosure provides a technology for supporting improvement of the effectiveness of lifestyle improvement actions. [Means for solving the problem]

[0005] As another aspect of the present disclosure, there is provided an information processing system having one or more processors, the one or more processors presenting one or more high priority behavioral categories based on information regarding the lifestyle habits of a target user, and presenting to the target user one or more behavioral actions that the target user should practice for the presented behavioral categories.

[0006] As another aspect of the present disclosure, an information processing method is provided in which a computer executes a process of presenting one or more behavioral categories with high priority based on information regarding the lifestyle habits of a target user, and a process of presenting to the target user one or more behavioral actions that the target user should engage in for the presented behavioral categories.

[0007] As another embodiment of the present disclosure, a program is provided for enabling a computer to realize a function of presenting one or more behavioral categories with high priority based on information regarding the lifestyle habits of a target user, and a function of presenting to the target user one or more behaviors that the target user should practice for the presented behavioral categories. Effect of the Invention

[0008] According to one embodiment of the present disclosure, it is possible to support improvement in the effectiveness of actions to improve lifestyle habits. [Brief description of the drawings]

[0009] [Figure 1] FIG. 2 is a diagram illustrating an example of the configuration of an information processing system assumed in the first embodiment. [Diagram 2] FIG. 2 is a diagram illustrating a hardware configuration of the support system. [Diagram 3] FIG. 2 is a sequence diagram for explaining an outline of a support service assumed in the first embodiment. [Figure 4] FIG. 13 is a diagram illustrating an example of display of questions regarding lifestyle habits. [Diagram 5] FIG. 13 is a diagram showing an example of a screen showing the results of analyzing the lifestyle habits of a target user by behavior category. [Figure 6] 13 is a diagram showing an example of a table used for rank evaluation of scores calculated for each behavior category. [Figure 7] 11 is a diagram showing an example of a table used for selecting a focus category. [Figure 8] FIG. 13 is a diagram showing an example of a selection screen for candidates of actions effective for improving lifestyle habits in the attention category. [Figure 9] FIG. 11 is a sequence diagram for explaining an outline of a support service assumed in the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. <Embodiment 1>

[0011] <System configuration> FIG. 1 is a diagram illustrating an example of the configuration of an information processing system 1 assumed in the first embodiment. The information processing system 1 shown in FIG. 1 is composed of a lifestyle habit improvement support system (hereinafter referred to as the "support system") 10 that provides a lifestyle habit improvement support service (hereinafter referred to as the "support service"), a user terminal 20 operated by a user who uses the support service, and a network N that connects these terminals. The support system 10 is an example of an information processing system in the narrow sense.

[0012] The support system 10 in this embodiment is a system that distributes an application that supports improvement of lifestyle habits (hereinafter referred to as an “support application”), stores user data input through the support application, and provides information that supports improvement of lifestyle habits. The support system 10 in this embodiment is operated by a company, organization, etc., where the user works. However, the support system 10 may be operated by a business entity, etc., that is entrusted by the company, organization, etc., where the user works.

[0013] The assistance application in this embodiment is installed in the user terminal 20 and used to record the user's daily life. The record of daily life includes, for example, blood pressure value, weight, pulse rate, behavior history, and feelings and moods. The user terminal 20 is a computer terminal in which a support application is installed. The user terminal 20 in this embodiment is configured, for example, by a smartphone, a tablet computer, a notebook computer, or a desktop computer.

[0014] The user terminal 20 is capable of communicating with the support system 10 through the network N. The user terminal 20 uploads user data input through a support application to the support system 10, and receives support services from the support system 10. The network N is, for example, a LAN (Local area network), the Internet, or a mobile communication system (4G, 5G).

[0015] <Hardware configuration> 2 is a diagram illustrating a hardware configuration of the support system 10. The support system 10 is composed of, for example, one or more servers. The support system 10 has a processor 101, a ROM (=Read Only Memory) 102 in which a BIOS (=Basic Input Output System) and the like are stored, a RAM (=Random Access Memory) 103 used as a work area for the processor 101, an auxiliary storage device 104, and a communication interface 105. Each device is connected via a bus and other signal lines 106.

[0016] The processor 101 is a device that realizes various functions through the execution of programs. In this embodiment, the support application and the OS (=Operating System) are collectively called programs. The processor 101, the ROM 102, and the RAM 103 function as a computer. The auxiliary storage device 104 is configured, for example, by a hard disk device or semiconductor storage. The communication interface 105 is an interface for communicating with other servers and the user terminal 20 (see FIG. 1) through the network N. The communication interface 105 supports Ethernet (registered trademark), Wi-Fi (registered trademark), mobile communication systems, and other communication standards.

[0017] <Data stored in the auxiliary storage device> The auxiliary storage device 104 stores the assistance application as well as user data collected through the assistance application. Incidentally, the support app collects user data through communication with a wearable device worn by the user as well as through user operation input. For example, blood pressure, heart rate, exercise, sleep time, etc. are sequentially uploaded from the linked wearable device to the support app. In addition, meal contents and alcohol intake may be collected through image analysis.

[0018] The user data includes, for example, the user's attributes (gender, date of birth, age, height, weight), blood pressure value, activity records, mood records, physical condition records, medical examination history, operation history of the support app, biological characteristics, psychological characteristics, social characteristics, habits, goal achievement status, attention categories presented by the support service, actions recommended for attention categories, content encouraging the practice of actions (including information identifying the content), information motivating the continuous practice of actions, records of proficiency with the content, etc. However, the user data does not need to be all of this information and may be only a part of it.

[0019] The blood pressure values ​​are, for example, systolic blood pressure (i.e., the highest blood pressure value) and diastolic blood pressure (i.e., the lowest blood pressure value). The activity record is, for example, a history of using the assistance app, a medication record, a food record, a smoking record, a drinking record, and an exercise record. The activity record is an example of information about the activity. The record of taking medicine is, for example, the type and number of medicines taken, and the time when the medicine was taken. The record of taking medicine is an example of information related to taking medicine. The food record is, for example, the contents of the food eaten and the amount of salt ingested. The food record is an example of information related to food.

[0020] The smoking record is, for example, whether or not a person smoked, the date and time of smoking, and the number of cigarettes smoked. The smoking record is an example of information related to smoking. The drinking record is, for example, the date and time of drinking, the amount of alcohol consumed, and the type of alcohol. The drinking record is an example of information related to drinking. The exercise record includes, for example, records related to sports, as well as records of daily activities such as walking, shopping, cleaning, etc. The exercise record is an example of information related to exercise. The mood record is, for example, a subjective mood. The mood record is an example of information related to mood.

[0021] The record of physical condition is, for example, a subjective physical condition or symptoms. The record of physical condition is an example of information related to physical condition. The medical examination history is, for example, the start date of treatment, the date of examination, the content of treatment, and advice from doctors and other medical personnel. The medical examination history is an example of information related to medical examinations.

[0022] The operation history of the support application is, for example, a history of operations related to starting the application, inputting blood pressure values ​​and reviews, answering questions presented by the support service, and selecting an action to be taken. Biological characteristics include, for example, the presence or absence of other diseases, the presence or absence of injuries undergoing treatment, the presence or absence of knee or foot pain, the presence or absence of experience of treatment for hypertension, the number of years since hypertension was diagnosed, the strength of seasonings used in home cooking, and the amount of food eaten. Psychological characteristics include, for example, expectations for support apps, willingness to acquire knowledge and information that will contribute to improving lifestyle habits, whether reducing salt intake is difficult or whether one believes one's sense of taste cannot be changed, and psychological resistance to leaving food on one's plate.

[0023] Social characteristics include, for example, wake-up time, bedtime, type of work (e.g., shift work, day shift, night shift), days of the week worked, start time of work, time home from work, regular days off, and whether or not there is heating in the changing room. Examples of habits include exercise habits, weighing oneself, checking the calorie count on food labels, choosing low-fat foods, not consuming caffeine after 4 p.m., eating and drinking after 10 p.m., skipping breakfast, snacking, taking a bath one hour before going to bed, stretching or massaging before going to bed, and sleeping more than six hours. The goal achievement status is, for example, the relationship between the user's status and a goal set for each user by a doctor or the like. The above-mentioned information can be classified into subjective information and objective information.

[0024] The attention category presented by the support service is, for example, a behavior category of food, exercise, weight loss, sleep, stress, and alcohol that is more likely to contribute to improving the lifestyle habits of the target user than others. In other words, the attention category is an example of a high-priority behavior category. The attention category is determined based on, for example, answers to questions about the target user's lifestyle habits and preferences, or medical evaluation criteria, and is notified to the target user by the support service. The attention category is reviewed periodically (for example, once a month) according to the progress of improvements in lifestyle habits.

[0025] The behavior recommended for the attention category (hereinafter also referred to as "recommended behavior") is an behavior selected from a group of candidate behaviors related to the attention category. For example, when the attention category is "exercise," the candidate behaviors include walking (total distance, total time, etc.), jogging (distance, total time, etc.), housework (content, time length by content, total time, etc.), cycling (total distance, total time, etc.), swimming (total distance, total time, etc.), ball games (type, total time, etc.), and dancing (total time, etc.).

[0026] Candidates for recommended actions are determined based on, for example, the history of actions taken by the target user and records of improvements after taking action. In this embodiment, the target user selects the recommended actions. The recommended actions to be taken are reviewed at shorter intervals (for example, once a week) than the review of the focus categories. Content that encourages the practice of a behavior (including information that identifies the content) refers to learning content that explains, for example, how to perform a recommended behavior or the effects that are expected from practicing the recommended behavior. The information that motivates the continued practice of the behavior may be, for example, points or other rewards that are awarded as the target user continues to practice. Examples of this type of information include an increase in accumulated points, the progress, growth, or evolution of an object, etc.

[0027] The degree of mastery of the content is the degree of understanding of the target user evaluated based on the target user's answers and performance. The degree of mastery is evaluated in the lifestyle habit improvement support service and notified to the target user. Furthermore, the user data includes user data collected from the target user in connection with the currently operating support service as well as user data collected from the target user in connection with other support services.

[0028] <Processing sequence executed in the information processing system> <Summary of support services> FIG. 3 is a sequence diagram for explaining an outline of the support service assumed in the first embodiment. The processing sequence shown in Fig. 3 is realized through the execution of a program by the processor 101 (see Fig. 2) constituting the support system 10 or a processor (not shown) constituting the user terminal 20. Note that the symbol S shown in the figure represents a step.

[0029] [Step 1] In the case of Fig. 3, the user terminal 20 transmits registration information of the user to the support system 10. For example, the measured values ​​of blood pressure and pulse rate, information on medicines taken, etc. are transmitted as the registration information. In the case of this embodiment, the input and transmission of the registration information is realized through the support app.

[0030] [Step 2] The support system 10 transmits learning contents, questions about lifestyle habits, and the like to the user terminal 20. The learning content includes knowledge and information that contributes to improving lifestyle habits. The learning content is prepared, for example, for each disease. In the present embodiment, the disease is assumed to be hypertension. The learning content may be text-based, still image-based, moving image-based, or audio-based.

[0031] The questions about lifestyle habits are questions about the lifestyle habits and preferences of each user. In this embodiment, questions are prepared for six behavior categories, for example, diet, exercise, weight loss, sleep, stress, and alcohol. The questions about lifestyle habits are divided into categories of behavior. In this embodiment, the total number of questions is, for example, 50.

[0032] FIG. 4 is a diagram for explaining a display example of questions regarding lifestyle habits. The questions shown in Fig. 4 are displayed on the display of the user terminal 20. As described above, the total number of questions in this embodiment is 50. Therefore, only a portion of the questions is displayed in Fig. 4. The question screen shown in Fig. 4 is arranged with a progress status display column 211, a title column 212, question columns 213, 214, 215, and a "next" button 216. Needless to say, the layout shown in Fig. 4 is just one example, and the number of questions displayed, etc. will change depending on the screen size, font size, etc. of the display.

[0033] The progress display field 211 is used to display the current progress against the total number of questions. In Fig. 4, the progress is represented by the length of the bar graph and text (e.g., 1 of 7 completed). The length of the colored portion of the bar graph represents the progress. In Fig. 4, the length of the colored portion of the bar graph is approximately 1 / 7 of the total length.

[0034] The title field 212 is used to display the name of the behavior category to which the question is related. The behavior category assumed in Fig. 4 is "Diet". Therefore, "Let's talk about diet" is displayed in the title field 212. Question field 213 is a question about the frequency of butter intake, and three answer options are provided as corresponding answers to the question. The same is true for the other questions. The three options are in the form of radio buttons. Therefore, only one of the three options can be selected. The same applies to the other questions described below.

[0035] Question field 214 asks about the frequency of hard cheese intake, and three answer options are provided for the question. Question field 215 is a question about the frequency of cottage cheese intake, and three answer options are displayed for the question. In the case of FIG. 4, when the "next" button 216 is operated, the screen switches to the next page.

[0036] [Step 3] Returning to the explanation of Figure 3. The user terminal 20 transmits the user's answer to the question to the assistance system 10. In the case of this embodiment, the answer is input by the user through selection of an option. [Step 4] The support system 10 diagnoses the lifestyle habits of the target user based on the received answers. In the case of this embodiment, for example, a score is calculated for each of the six behavior categories described above. In this embodiment, the score is calculated as the sum of the points given to the user's answers (options) to each question. For example, the best habit option among the three is given 1 point, the second best habit option among the three is given 2 points, and the worst habit option among the three is given 3 points. The support system 10 in this embodiment calculates a score for each behavior category.

[0037] [Step 5] The support system 10 presents to the user terminal 20 the scores for each behavior category as the analysis results of the lifestyle habits of the target user. In this embodiment, the lifestyle analysis results are presented in the form of a bar graph, with the scores Sn (n=1, 2, 3, 4, 5, 6) calculated for each of the six behavioral categories. The score S1 corresponds to "diet", the score S2 corresponds to "exercise", the score S3 corresponds to "weight loss", the score S4 corresponds to "sleep", the score S5 corresponds to "stress", and the score S6 corresponds to "alcohol".

[0038] In this case, the length Ln (where n=1, 2, 3, 4, 5, 6) of the bar graph corresponding to the score Sn is calculated based on the following formula. Ln[%]=150-{(50 / (number of questions))*Sn} For example, if the weight loss score S3 is "15" and the number of questions regarding weight loss is "10," the length L3 of the bar graph representing the analysis results of lifestyle habits related to weight loss is calculated as 75% (=150-{(50 / 10)*15}).

[0039] Incidentally, if the weight loss score S3 is "10" (if each answer to all 10 questions is 1 point), the length L3 of the bar graph is calculated as 100% (=150-{(50 / 10)*10}), if the weight loss score S3 is "20", the length L3 of the bar graph is calculated as 50% (=150-{(50 / 10)*20}), and if the weight loss score S3 is "30" (if each answer to all 10 questions is 3 points), the length L3 of the bar graph is calculated as 0% (=150-{(50 / 10)*30}).

[0040] In this embodiment, the smaller the score Sn, the better the lifestyle analysis result, and the larger the score Sn, the worse the lifestyle analysis result. Thus, a behavioral category with a bar length of 100% represents a good lifestyle, and a behavioral category with a bar length of 0% represents a bad lifestyle. FIG. 5 is a diagram showing an example of a screen showing the results of analyzing the lifestyle habits of a target user by behavior category. The screen shown in FIG. 5 is displayed on the display of the user terminal 20. Arranged on the screen shown in Fig. 5 are a title 221, an explanation column 222 for the analysis result, and an analysis result display column 223. Needless to say, the arrangement shown in Fig. 5 is just one example.

[0041] In FIG. 5, the title 221 reads "Your lifestyle assessment results." In the case of Fig. 5, the explanation column 222 states that the analysis result was calculated based on the user's answers, and that the lifestyle habits will be analyzed every few months to check for improvements in the lifestyle habits. Of course, the wording is merely an example. In this embodiment, the lifestyle habits of the target user are reevaluated every month. 5, the analysis results for five of the six behavior categories are represented by the length Ln of a bar graph in the analysis result display field 223. The analysis results for the remaining behavior category (i.e., alcohol) can be confirmed by scrolling the screen.

[0042] In the case of Figure 5, the bar graph is expressed by the length in the left-right direction. As mentioned above, the shorter the bar graph, the worse the analysis result, and the longer the bar graph, the better the analysis result. For this reason, the right end of the bar graph is labeled with a description of a good state, and the left end of the bar graph is labeled with a description of a bad state. For example, for diet, the right end of the bar graph is labeled "Excellent diet," and the left end of the bar graph is labeled "Poor diet." Target users can check the status of their own lifestyle habits by behavior category by observing the length of the bar graph corresponding to each behavior category.

[0043] That is, the target user can see at a glance which behavior categories his / her lifestyle habits are good and which behavior categories are not good. In other words, you can get an overview of the analysis results of your lifestyle habits across six behavioral categories. As a result, the target user can become aware of the behavioral categories that he or she should focus on in order to improve his or her lifestyle habits.

[0044] [STEP 6] Returning to the explanation of Figure 3. The support system 10 presents to the user terminal 20 candidate attention categories and behaviors to be practiced as analysis results of the lifestyle habits of the target user. The assistance system 10 determines the attention category based on the evaluation result of the score Sn calculated in step 5 and medical evaluation criteria. First, the support system 10 classifies the calculated score Sn into one of "A rank (good)", "B rank (Intermediate)" and "C rank (Bad)" based on evaluation criteria prepared for each behavior category.

[0045] FIG. 6 is a diagram showing an example of a table used for ranking the scores calculated for each behavior category. In Figure 6, the six behavioral categories are assigned to the leftmost column, the first column from left to right is assigned the range of scores that will be classified as A rank, the second column from left to right is assigned the range of scores that will be classified as B rank, and the rightmost column is assigned the range of scores that will be classified as C rank.

[0046] As shown in Figure 6, the range of scores assigned to ranks A, B, and C varies depending on the behavioral category. For example, in the case of diet, a score S1 of 14 or less is classified as rank A, a score S1 of 15 to 24 is classified as rank B, and a score S1 of 25 or more is classified as rank C.

[0047] In the case of exercise, a score S2 of 6 or less is classified as rank A, a score S2 between 7 and 10 is classified as rank B, and a score S2 of 15 or more is classified as rank C. As shown in Figure 6, the range of scores assigned to each rank varies across behavioral categories, in part due to the different number of questions for each behavioral category. For example, there is only one question about alcohol. Therefore, the rank A, B, or C is determined by which of the three options you select.

[0048] After the ranks for each behavior category are determined, the support system 10 selects a focus category from among the six behavior categories. In the present embodiment, there are three focus categories. Fig. 7 is a diagram showing an example of a table used for selecting a category of interest. The example table shown in Fig. 7 gives a priority relationship to a combination of a behavior category and a rank based on a medical evaluation criterion. In this respect, the example table shown in Fig. 7 is also an example of performance data of users other than the target user.

[0049] In the case of FIG. 7, the behavioral categories are arranged in the leftmost column, the rank information is arranged in the center column, and the conditions required for selecting a category as the focus category are arranged in the rightmost column. In the chart shown in Figure 7, the order in which attention categories should be selected is determined by the combination of behavior category and rank. The higher the rank, the higher the priority.

[0050] First, the support system 10 checks whether the score S3 calculated for the weight loss of the target user is C rank, based on the chart shown in FIG. If the score S3 corresponding to the weight loss of the target user is rank C, the support system 10 further determines whether the BMI (=Body Mass Index) of the target user is 25 or more. If the BMI is 25 or more, the support system 10 selects the behavior category "weight loss" as the first focus category. The BMI can be calculated from the weight and height of the user data.

[0051] However, if the score S3 corresponding to the target user's weight loss is rank C but the BMI is less than 25, or if the score S3 corresponding to the target user's weight loss is rank A or B, the support system 10 checks whether the score S1 calculated for the target user's diet is rank C. Similarly, the ranks of the behavior categories of the target user are collated with the table shown in FIG. 7 until three attention categories are selected.

[0052] In addition, for weight loss, diet, and exercise, if the total number of focus categories is less than three, the category may be selected as a focus category even if the corresponding score is A rank. When the three attention categories are determined, the support system 10 presents the three attention categories to the user terminal 20. The three attention categories may be presented to the user terminal 20 in a list format, or may be presented in association with a selection screen for selecting an action to be practiced.

[0053] FIG. 8 is a diagram showing an example of a selection screen for candidates of actions effective for improving lifestyle habits in the attention category. The screen shown in FIG. The screen shown in Fig. 8 has arranged thereon a title 231, an explanation column 232, and a candidate action column for each attention category 233. Needless to say, the arrangement shown in Fig. 8 is only one example. 8, the title 231 reads "Select 3 daily challenges." The title 231 also indicates an operation that is required of the target user.

[0054] In the case of FIG. 8, the explanation column 232 provides an explanation of the presented candidate actions. In the candidate behaviors by attention category field 233, candidates of behaviors to be practiced by attention category are presented in a selectable manner. Candidates for actions to be taken are presented in order based on the priority among the three focus categories. The priority is determined based on the table shown in Figure 7. The priority is determined by the relative order in the table.

[0055] In the case of FIG. 8, diet, which has the highest priority among the three attention categories, is presented as the first attention category. In Figure 8, four candidates for actions to be taken are presented, "Action 1" to "Action 4." When one of the four candidate actions is tapped, the corresponding candidate becomes selected or unselected. Depending on the focus category, the number of candidate actions presented may be two, three, or five or more. In addition, candidates of behaviors previously selected by the target user may be excluded from display for a certain period of time. This function provides an environment in which the selected behavior is less likely to be fixed.

[0056] As a result, the target user is able to select and practice a variety of behaviors, making it easier for him or her to continually work on improving their lifestyle habits compared to practicing only the same behavior. Furthermore, even if the same behavior category is repeatedly presented as a category of interest, it becomes difficult for candidates for the behavior to be practiced to become fixed, so that the target user can have fun selecting candidates. In this embodiment, the action candidates are selected using check boxes, so it is possible to select two candidates for one attention category.

[0057] In the case of Figure 8, "Action 1" is shown to be selected by the target user. If the selected "Action 1" is tapped again, the selection state is cancelled. Candidates for actions include, for example, "avoiding carbonated or sugary drinks." If you tap "View More" at the bottom of the screen, you will be presented with selectable actions to take for the remaining two focus categories. For example, when it comes to exercise or sleep, multiple options for actions to be taken are presented. For example, when selecting one candidate behavior for each attention category, one behavior is selected for diet, one behavior for exercise, and one behavior for sleep.

[0058] When multiple behavior candidates are selected for one attention category, for example, two behaviors are selected for diet, and one behavior is selected for exercise. When the third action is selected, a screen for confirming the selected three actions is presented to the user on the user terminal 20. When the user agrees with the presented three actions, the user's action selection is completed.

[0059] [STEP 7] Returning to the explanation of Figure 3. When the user's selection of the three actions is finalized, the user terminal 20 transmits the actions selected by the user to the assistance system 10. [STEP 8] The support system 10 receives the three actions and registers the received three actions as actions to be practiced.

[0060] [STEP 9] The user terminal 20 transmits the behavior practice status and the measurement values ​​collected through the support application to the support system 10. Note that the user terminal 20 may transmit the collected user data to the support system 10 as it is. The transmission of the practice status, etc. here may be performed, for example, at a pre-scheduled timing (for example, every noon, every hour), or may be performed when the user operates the user terminal 20 to access the support system 10.

[0061] [STEP 10] The support system 10 notifies the user terminal 20 of learning content and new action candidates related to the attention category. The learning content includes knowledge and information that contributes to improving lifestyle habits. The presentation of the learning content is expected to encourage the user to practice a behavior and improve lifestyle habits, compared to a case where only the user is asked to practice the behavior. The learning content here is an example of content that encourages the user to practice a behavior. The new candidate behavior is presented from among candidates of behavior related to the attention category. In the present embodiment, candidates of behavior selected by the user within a certain period of time are excluded. As a result, the new candidate behavior is presented to the user as a selection candidate. It should be noted that the presentation of the learning content and the presentation of the new action candidates may be executed separately.

[0062] [STEP 11] As in step 7, when the user's selection of the three actions is finalized, the user terminal 20 transmits the actions selected by the user to the assistance system 10. [STEP 12] As in step 8, the support system 10 that has received the three actions registers the received three actions as actions to be practiced. In this embodiment, the period from step 8 to step 12 is one week.

[0063] [STEP 13] As in step 9, the user terminal 20 transmits the behavior practice status and the measurement values ​​collected through the assistance application to the assistance system 10. Thereafter, processing operations corresponding to steps 6 to 9 and steps 10 to 13 are executed every week. In this embodiment, the processes from step 2 onward are repeatedly executed every month. That is, the attention category is reviewed every month, and the presentation and practice of candidates for actions to improve the reviewed attention category are repeated.

[0064] <Summary> According to the information processing system 1 (see FIG. 1) of the present embodiment, it is possible to support the practice of behaviors related to the attention category identified through the analysis of the lifestyle habits of the target user. As a result, the effectiveness of behaviors for improving lifestyle habits is increased. Furthermore, by leaving it up to the user to select the behavior to be practiced, it is possible to increase the likelihood that behavior that improves lifestyle habits will be practiced. In addition, by reviewing the focus categories once a month and the behaviors related to the focus categories once a week, it becomes easier for the target users to take the desired actions. As a result, the effect of improving the focus categories can be improved.

[0065] <Embodiment 2> In this embodiment, a case will be described in which the support system 10 (see FIG. 1) determines an action to be practiced for a focus category and presents the determined action to a target user. The system configuration and the like in this embodiment are similar to those in the first embodiment. Fig. 9 is a sequence diagram for explaining an outline of a support service assumed in the embodiment 2. In Fig. 9, parts corresponding to those in Fig. 3 are denoted by the same reference numerals. As shown in FIG. 9, the processing operations in steps 1 to 5 are the same as those in the first embodiment.

[0066] [STEP 21] The support system 10 registers a behavior (recommended behavior) that the target user is requested to practice from among candidates of behaviors related to the attention category. In this embodiment, there are three categories of interest. As in the first embodiment, candidates for behavior are prepared in advance for each behavior category.

[0067] The support system 10 in this embodiment registers one recommended behavior for one attention category according to a predetermined priority order for behaviors related to the behavior category. That is, the support system 10 determines the behavior to be practiced in the next week without presenting selection candidates to the user. The priority order is determined based on, for example, behavioral preferences and actual performance of a user group that has attributes highly similar to those of the target user.

[0068] [STEP 22] The assistance system 10 presents the attention categories, the recommended actions, and the learning content to the user terminal 20. [STEP 9] The user terminal 20 transmits the behavior practice status and measurement values ​​collected through the assistance application to the assistance system 10. [STEP 23] When one week has passed since the registration of the recommended behavior in step 21, or when the next week approaches, the assistance system 10 registers a new recommended behavior.

[0069] [STEP 24] The assistance system 10 presents the attention categories, the recommended actions, and the learning content to the user terminal 20. [STEP 13] The user terminal 20 transmits the behavior practice status and measurement values ​​collected through the assistance application to the assistance system 10. Thereafter, processing operations corresponding to steps 21, 22, and 9 and steps 23, 24, and 13 are executed every week. In the present embodiment, the processes from step 2 onward are also repeatedly executed once a month. That is, the attention categories are reviewed once a month, and the presentation and practice of recommended actions for improving the reviewed attention categories are repeated.

[0070] <Summary> In the case of the information processing system 1 according to this embodiment (see FIG. 1), the support system 10 determines recommended actions and presents them to the target user, thereby reducing the burden on users who find it troublesome to select actions every week. In addition, the effectiveness of lifestyle improvement can be increased by determining the recommended behavior based on the behavioral preferences and actual practice records of a user group that has attributes similar to those of the target user.

[0071] <Other embodiments> (1) Although the embodiments of the present disclosure have been described above, the technical scope of the present disclosure is not limited to the scope of the above-described embodiments. It is clear from the claims that the technical scope of the present disclosure also includes various modifications or improvements to the above-described embodiments.

[0072] (2) The processor in the above-described embodiments refers to a processor in a broad sense, and includes general-purpose processors (e.g., CPU (=Central Processing Unit)) as well as dedicated processors (e.g., GPU (=Graphical Processing Unit), ASIC (=Application Specific Integrated Circuit), FPGA (=Field Programmable Gate Array), programmable logic devices, etc.). In addition, the operations of the processor in each of the above-mentioned embodiments may be executed by multiple processors in cooperation with each other, and the order of execution of each operation in the processor is not limited to the order described in each of the above-mentioned embodiments, and may be changed individually.

[0073] (3) In the above-described first embodiment, the number of answers (options) to each question is uniformly set to three. However, the number of answers (options) to each question may be two or four or more.

[0074] (4) In the above-described first embodiment, the number of answers (options) to each question is uniform, but the number of answers (options) may vary from question to question. For example, questions with two answers (options) or questions with four answers (options) may be included.

[0075] (5) In the above embodiment, three attention categories are selected from six behavior categories. However, the number of behavior categories is not limited to six, and the number of attention categories is not limited to three. For example, the number of behavioral categories may be five or less or seven or more, and the number of attention categories may be one, two, four or more.

[0076] (6) In the above-described embodiment, the rank of each behavior category is determined using the table shown in FIG. 6, and then the attention category is determined by comparing the determined rank of the behavior category with the table shown in FIG. 7. However, the attention category may be determined based on the relative rank relationship among the six behavior categories. For example, the attention category may be determined by prioritizing B rank over A rank, and C rank over B rank. In addition, if there are four or more C rank behavior categories, three attention categories may be determined by, for example, random drawing.

[0077] (7) In the above-described first embodiment, the user is prompted to select three actions from among candidates for actions related to the attention category. However, the selection operation may be terminated after, for example, two actions have been selected. For example, if a user is not in a good physical or psychological state, there is a low possibility that the user will actually try to practice three actions even if they are forced to do so. Rather, it is more likely that the target user will continue to practice the actions if they only select the number of actions that they think they can practice. In addition, in daily life, people may get sick, injured, or suddenly become unwell. In such cases, it may be possible to change behavior during the practice period (for example, one week) or to suspend the practice. For example, if a user injures his / her leg, the activity to be performed may be changed from walking to upper body exercises or stretching.

[0078] (8) In the above embodiment, the behavior to be practiced is reviewed on a weekly basis, and the attention category is reviewed on a monthly basis, but the review period is not limited to this. For example, the behavior to be practiced may be reviewed on a biweekly basis, or may be reviewed when the attention category is reviewed. Similarly, the review period of the attention category is not limited to a monthly basis, and may be, for example, on a bimonthly basis.

[0079] (9) In the above embodiment, the operator of the support system 10 is assumed to be a company, an organization, or an entity commissioned by a company, but the operator may be an entity including various organizations or institutions. Also, the operator may be an entity that operates a public or private medical insurance system, or a medical institution that provides medical services.

[0080] (10) The support service in the above-described embodiment is intended to support the prevention, diagnosis, and treatment of hypertension, but can also be applied to other diseases. For example, the technology can be applied to customizing messages in services that support the improvement of lifestyle habits related to nicotine addiction, insomnia, depression, diabetes, alcoholism, and obesity.

[0081] Incidentally, in the case of a user with nicotine addiction, the following user data is stored: carbon monoxide (CO) in the breath, nicotine concentration in saliva, smoking date and time, number of cigarettes smoked or number of times, user's cognitive information (way of thinking, values), exercise (number of steps, length of exercise, distance traveled), other illnesses (diabetes), medication, blood pressure, heart rate, pulse, current physical condition (headache, irritability, feeling good, nausea, etc.), and all or part of the answers to the assumed causes. These pieces of information are examples of information related to smoking.

[0082] For a user with insomnia, the user data may include, for example, all or part of the following: time of going to bed, time of waking up, sleep duration, sleep efficiency, number and content of meals, exercise record, and medication record. Time of going to bed, time of waking up, sleep duration, and sleep efficiency are examples of information related to sleep. In addition, in the case of a user suffering from depression, the user data stored may include, for example, all or part of a record of mood, a record of behavior, a record of medication, a record of sleep, and a record of appetite.

[0083] For a diabetic user, the user data may include, for example, the number and type of meals, exercise records, medication records, weight, blood pressure, and blood glucose levels. Blood glucose levels are an example of information related to blood glucose levels. In the case of a user with alcoholism, for example, a record of medication, whether or not the user has drunk alcohol, and all or part of the details of the drinking are stored as user data.

[0084] In addition, for obese users, the user data stored may include, for example, target weight, start date of treatment, number of days of treatment, appropriate calorie intake, health history (mood), weight history, calorie intake history, date and time of calorie intake, medication history (dosage taken, date and time of medication taken), therapy history (therapy, content of advice, whether or not the user performed it), medical history, blood data (AST (aspartate aminotransferase) / ALT (alanine aminotransferase)) and all or part of the CT value.

[0085] <Summary> The disclosed examples described in the above-mentioned embodiments are shown below. (((1))) An information processing system having one or more processors, which present one or more high priority behavioral categories based on information regarding a target user's lifestyle habits, and present to the target user one or more behavioral actions that the target user should engage in for the presented behavioral categories. This information processing system can help improve the effectiveness of actions to improve lifestyle habits.

[0086] (((2))) The information processing system according to (((1))), wherein the processor presents a plurality of selectable actions. This information processing system can increase the likelihood that actions to improve lifestyle habits will be implemented.

[0087] (((3))) The information processing system according to (((1))) or (((2))), wherein the processor presents content that encourages the target user to practice a behavior selected by the target user. This information processing system can increase the likelihood that actions to improve lifestyle habits will be implemented.

[0088] (((4))) The information processing system according to any one of (((1))) to (((3))), wherein the processor presents an analysis result of the information on the lifestyle habits to the target user. This information processing system can increase the likelihood that actions to improve lifestyle habits will be implemented.

[0089] (((5))) The information processing system according to (((4))), wherein the processor presents one or more behavioral categories with high priority based on the analysis results and performance data of users other than the target user. According to this information processing system, it is possible to present behavior categories that are highly effective in improving lifestyle habits.

[0090] (((6))) The information processing system according to any one of (((1))) to (((3))), wherein the processor updates the one or more behaviors that the target user should practice at a cycle shorter than the update cycle of the behavior category. This information processing system can increase the likelihood that actions to improve lifestyle habits will be implemented.

[0091] (((7))) An information processing method in which a computer executes a process of presenting one or more behavioral categories with high priority based on information regarding the lifestyle habits of a target user, and a process of presenting to the target user one or more behaviors that the target user should engage in for the presented behavioral categories. This information processing method can support improvement of the effectiveness of actions to improve lifestyle habits. It should be noted that in this information processing method as well, it is possible to combine techniques corresponding to (((2))) to (((6))).

[0092] (((8))) A program for enabling a computer to perform the functions of presenting one or more behavioral categories with high priority based on information regarding the lifestyle habits of a target user, and presenting to the target user one or more behaviors that the target user should engage in for the presented behavioral categories. This program can help improve the effectiveness of lifestyle improvement actions. In this program, it is also possible to combine technologies corresponding to (((2))) to (((6))). [Explanation of symbols]

[0093] 1...information processing system, 10...lifestyle habit improvement support system, 20...user terminal, 101...processor, 102...ROM, 103...RAM, 104...auxiliary storage device, 105...communication interface, 106...signal line

Claims

1. One or more processors; The one or more processors: presenting one or more behavioral categories with high priority based on information about the lifestyle habits of the target user; presenting to the target user one or more behaviors to be performed by the target user for the presented behavioral categories; Information processing system.

2. The processor, presenting the plurality of actions in a selectable manner; The information processing system according to claim 1 .

3. The processor, presenting content that encourages the target user to practice the behavior selected by the target user; The information processing system according to claim 2 .

4. The processor, presenting the analysis result of the lifestyle habit information to the target user; The information processing system according to claim 1 .

5. The processor, presenting the one or more behavior categories with high priority based on the analysis result and performance data of users other than the target user; 5. The information processing system according to claim 4.

6. The processor, updating the one or more behaviors to be performed by the target user at a cycle shorter than the update cycle of the behavior category; The information processing system according to claim 1 .

7. The computer presenting one or more behavioral categories with high priority based on information about the lifestyle habits of the target user; A process of presenting to the target user one or more behaviors that the target user should practice for the presented behavior category; An information processing method for performing the above.

8. On the computer, A function of presenting one or more behavioral categories with high priority based on information about the lifestyle habits of the target user; A function of presenting to the target user one or more behaviors that the target user should perform for the presented behavior category; A program to achieve this.

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