Program creation device, program creation program, and program creation method

Abstract

The present invention relates to a program creation device, a program creation program, and a program creation method capable of generating a body fat reduction program according to the user's desired conditions. [Solution] A program creation device according to one embodiment of the present invention is a program creation device for creating a body fat reduction program for reducing body fat, and comprises a user preference information acquisition unit and a program creation unit. The user preference information acquisition unit acquires user preference information, which is at least one of the intervention intensity desired by the user, a target body fat reduction value, and a period for achieving the target body fat reduction. The program creation unit selects a dietary guidance method according to the user preference information and dietary habit classification, selects a feedback dietary guidance method based on the user preference information and recorded information, and creates a body fat reduction program that includes the selected dietary guidance method and the selected feedback dietary guidance method.

Description

[Technical Field]

[0001] The present invention relates to a program creation device, a program creation program, and a program creation method that provide a program for reducing body fat. [Background technology]

[0002] Technologies have been developed that evaluate a user's diet and activity levels and generate advice for reducing body fat based on the evaluation results. For example, Patent Document 1 discloses a lifestyle improvement suggestion device that generates messages suggesting lifestyle improvements based on lifestyle information such as the user's weight gain rate, steps taken, and food intake, as well as environmental information such as weather and temperature. [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2020-160569 [Overview of the project] [Problems that the invention aims to solve]

[0004] In the invention described in Patent Document 1 above, if lifestyle information and environmental information meet predetermined conditions, a predefined message corresponding to those conditions is presented to the user. However, since the user's desired conditions, such as motivation for reducing body fat, target values, and target period, vary from user to user, even if advice is provided according to lifestyle information and environmental information, it may not match the user's desired conditions.

[0005] The present invention relates to a program creation device, a program creation program, and a program creation method capable of generating a body fat reduction program according to the user's desired conditions. [Means for solving the problem]

[0006] A program creation device according to one embodiment of the present invention is a program creation device for creating a body fat reduction program for reducing body fat, and comprises a user request information acquisition unit and a program creation unit. The user preference information acquisition unit acquires user preference information, which is at least one of the following: the intervention intensity desired by the user, the target value for body fat reduction, and the period for achieving the target for body fat reduction. The program creation unit selects a dietary guidance method, which is a method of guiding the user's diet according to the user's desired information and dietary habit classification, and selects a feedback dietary guidance method, which is a method of guiding the user's diet based on the user's desired information and recorded information, and creates a body fat reduction program that includes the selected dietary guidance method and the selected feedback dietary guidance method. The aforementioned dietary habit classification categorizes the user's dietary habits according to the cause of body fat accumulation. The aforementioned recorded information is information about the user's eating habits.

[0007] A program creation program according to one embodiment of the present invention is a program creation program for creating a body fat reduction program for reducing body fat, and the information processing device is: A step of obtaining user preference information, which is at least one of the following: the desired intervention intensity, the target value for body fat reduction, and the timeframe for achieving the body fat reduction target. The system is configured to perform the following steps: select a dietary guidance method, which is a method of guiding the user's diet according to the user's desired information and dietary habit classification; select a feedback dietary guidance method, which is a method of guiding the user's diet based on the user's desired information and recorded information; and create a body fat reduction program that includes the selected dietary guidance method and the selected feedback dietary guidance method. The aforementioned dietary habit classification categorizes the user's dietary habits according to the cause of body fat accumulation. The aforementioned recorded information is information about the user's eating habits.

[0008] A program creation method according to one embodiment of the present invention is a program creation method for creating a body fat reduction program for reducing body fat, wherein the program creation device is The system obtains user preference information, which includes at least one of the following: the desired intervention intensity, target body fat reduction value and timeframe for achieving the target body fat reduction, personality, or the time and frequency that can be dedicated to the instructor's guidance, instruction skills, and instruction experience. A dietary guidance method is selected based on the user's desired information and dietary habit classification, and a feedback dietary guidance method is selected based on the user's desired information and recorded information, and a body fat reduction program including the selected dietary guidance method and the selected feedback dietary guidance method is executed. The aforementioned dietary habit classification categorizes the user's dietary habits according to the cause of body fat accumulation. The aforementioned recorded information is information about the user's eating habits. [Effects of the Invention]

[0009] According to the present invention, it is possible to generate a body fat reduction program according to the user's desired conditions. [Brief explanation of the drawing]

[0010] [Figure 1] This is a block diagram showing the configuration of a program provisioning system according to an embodiment of the present invention. [Figure 2] This is an example of advice provided to target users by the feedback dietary guidance department of the program implementation device in the above-mentioned program delivery system. [Figure 3] The above is an example of advice provided by the Feedback Dietary Guidance Department to target users, categorized by major topic. [Figure 4] These are examples of questions regarding the user's intention to continue using the program, which are presented to the target user by the program implementation device's intention to continue using the program. [Figure 5]Examples of the continuous recording items extracted by the dietary guidance section of the above program execution device. [Figure 6] It is a block diagram showing the configuration of a dietary habit classification generation device according to an embodiment of the present invention. [Figure 7] Examples of question items regarding dietary habits presented to the target user from the dietary habit classification section of the above program execution device. [Figure 8] Examples of dietary habit classification results presented to the target user from the above dietary habit classification section. [Figure 9] Examples of selection items regarding diet presented to the target user from the above dietary habit classification section. [Figure 10] Examples of question items regarding diet presented to the target user from the above dietary habit classification section. [Figure 11] An example of a recording screen of diet by a smartphone application presented to the target user from the recording information acquisition section of the above program execution device. [Figure 12] An example of a recording screen of diet by a recording sheet presented to the target user from the above recording information acquisition section. [Figure 13] An example of a recording screen of diet by a recording sheet presented to the target user from the above recording information acquisition section. [Figure 14] It is a flowchart showing the operation of the above program providing system.

Mode for Carrying Out the Invention

[0011] Embodiments of the present invention will be described below with reference to the drawings. However, the configurations, numerical values, processing flows, functional elements, etc., described in the following embodiments are merely examples, and their modifications and changes are permitted, and the technical scope of the present invention is not intended to be limited to the following description. In this specification, "system" includes one or more information processing devices. For example, an information processing device alone can constitute a system, and multiple information processing devices working together to perform functions such as a web server can also constitute a system. Furthermore, as described in the following embodiments, "system" may include an information processing device that functions as a web server and one or more terminal devices.

[0012] [Configuration of the program delivery system] A program provision system according to an embodiment of the present invention will now be described. The program provision system according to this embodiment is a device that provides a body fat reduction program for reducing the user's body fat. "Body fat reduction" includes reduction of visceral fat, reduction of waist circumference, reduction of weight, reduction of body fat percentage, and elimination of metabolic syndrome. As shown in Figure 1, the program provision system 1 comprises a program creation device 10 and a program execution device 20.

[0013] [Configuration of the program creation device] The program creation device 10 is a device for creating a body fat reduction program. As shown in Figure 1, the program creation device 10 includes a user request information acquisition unit 11 and a program creation unit 12.

[0014] The user preference information acquisition unit 11 acquires "user preference information" from the user. User preference information is at least one of the following: the intervention intensity desired by the user, the target value for body fat reduction, and the period for achieving the target body fat reduction. Here, the users from whom user preference information is acquired are not limited to users who are the target of implementing the body fat reduction program created by the program creation device 10 (hereinafter referred to as "target users"), but also include the user who is the provider of the body fat reduction program and the user who is the instructor of the target users.

[0015] Users who provide body fat reduction programs include, for example, companies or corporate health insurance associations, local governments or national health insurance associations, educational institutions such as schools, medical institutions, health checkup facilities, health guidance providers, insurance companies, and other health service providers. Users who act as instructors for the target users include, for example, doctors, registered dietitians, public health nurses, pharmacists, and other healthcare professionals. In this case, user preference information may include at least one of the following: the amount of time the instructor can dedicate to instruction, the frequency of instruction, instruction skills, and instruction experience.

[0016] The intervention intensity indicates the degree of burden on the target user's daily life, such as "prioritizing body fat reduction even if it is burdensome" or "reducing body fat within a range that minimizes burden."

[0017] The body fat reduction target values ​​include the user's desired state, such as "I want to be able to wear clothes that I can no longer wear," "I want to no longer be required for specific health guidance during health checkups," "I want to be able to play soccer with my children," "I want to be able to move around like I did when I was younger," "I want to have a muscular physique," and "I want my daughter to say, 'My mom is beautiful.'"

[0018] Furthermore, the body fat reduction targets include numerical goals such as "reducing waist circumference by 2 cm (one belt notch)", "reducing weight by 1 kg", "achieving a body fat percentage in the 20% range", and "avoiding metabolic syndrome in health checkups (waist circumference, blood pressure, blood sugar levels, and blood lipids not exceeding standard values)".

[0019] The target period for achieving body fat reduction is the timeframe for achieving the target body fat reduction value, such as "one month," "by summer," "by the health checkup," or "by the wedding." The user request information acquisition unit 11 can acquire user request information through user input or communication with the terminal operated by the user. The user request information acquisition unit 11 supplies the acquired user request information to the program creation unit 12.

[0020] The program creation unit 12 creates a body fat reduction program based on user preference information supplied by the user preference information acquisition unit 11. The program creation unit 12 includes a dietary habit classification method selection unit 121, a dietary guidance method selection unit 122, a dietary record method selection unit 123, and a feedback dietary guidance method selection unit 124.

[0021] The Eating Habit Classification Method Selection Unit 121 selects an "Eating Habit Classification Method" based on the user's requested information. Here, "Eating Habit Classification" is a classification of the target user's eating habits according to the cause of body fat accumulation, such as "poor health consciousness," "snacking," "late-night eating," "eating too quickly," "lack of exercise," "late-night meals," and "decreased basal metabolism." The "Eating Habit Classification Method" is a method of classifying the target user's eating habits into one of these eating habit classifications. The Eating Habit Classification Method Selection Unit 121 can select an eating habit classification method by selecting the items (record items or selection items) to present to the target user for eating habit classification and whether or not the target user can specify the eating habit classification. Details of the "Eating Habit Classification Method" will be described later.

[0022] The dietary guidance method selection unit 122 selects a "dietary guidance method" based on the user's desired information and dietary habit classification. The "dietary guidance method" is a method of guiding the dietary habits of the target user based on the target user's dietary habit classification, and specifically includes a method for presenting "record items," which are items for the target user to record their diet. The dietary guidance method selection unit 122 can select a dietary guidance method by selecting a means for presenting the record items to the target user and selecting the record items to present to the target user. Hereinafter, the information recorded by the target user in the record items will be referred to as "recorded information." Details of the "dietary guidance method" will be described later.

[0023] The dietary record method selection unit 123 selects a "dietary record method" based on the user's preference information. The "dietary record method" is the method by which the user records the above-mentioned record information. The dietary record method selection unit 123 can select a dietary record method by selecting the means for recording the record information and the record items to be recorded by the user. Details of the "dietary record method" will be described later.

[0024] The Feedback Dietary Guidance Method Selection Unit 124 selects a "Feedback Dietary Guidance Method" based on user preference information and recorded information. The "Feedback Dietary Guidance Method" is a method of providing advice to the target user based on the recorded information. The Feedback Dietary Guidance Method Selection Unit 124 can select a Feedback Dietary Guidance Method by selecting an advice provider, which is the entity providing the advice. Details of the "Feedback Dietary Guidance Method" will be described later.

[0025] The program creation unit 12 generates a body fat reduction program that includes the selected "eating habit classification method," "eating guidance method," "eating record method," and "feedback eating guidance method," and provides the created body fat reduction program to the program implementation device 20.

[0026] The program creation device 10 has the configuration described above. Each component of the program creation device 10 is a functional configuration realized through the cooperation of the hardware and software of an information processing device, which consists of a CPU (Central Processing Unit) and RAM (Random Access Memory), etc. The software is a program that can be executed by the information processing device, and may also be a program recorded on a recording medium that can be read by the information processing device.

[0027] [Configuration of the program execution device] The program execution device 20 is a device that has the target user implement the body fat reduction program created by the program creation device 10, and provides the user with dietary guidance for body fat reduction or prevention of lifestyle-related diseases. The program execution device 20 can be a server connected to a terminal used by the target user. As shown in Figure 1, the program execution device 20 includes a target user determination unit 21, a dietary habit classification unit 22, a dietary guidance unit 23, a record information acquisition unit 24, an evaluation unit 25, a feedback dietary guidance unit 26, a presentation information generation unit 27, and a continuation intention acquisition unit 28.

[0028] The program execution device 20 utilizes biometric indicators. These biometric indicators represent the state of the body, including waist circumference, VFA (Visceral Fat Area), FBS (Fasting blood sugar), TG (Triglyceride), HDL-C (High Density Lipoprotein Cholesterol), SBP (Systolic Blood Pressure), and DBP (Diastolic Blood Pressure). Hereinafter, the biometric indicators used by the program execution device 20 will be referred to as "specific biometric indicators." Table 1 below shows examples of symptoms and specific biometric indicators. Note that the symptoms and specific biometric indicators are not limited to those shown here. For example, specific biometric indicators for visceral fat accumulation may be waist circumference or body weight.

[0029] [Table 1]

[0030] The target user determination unit 21 determines the target users. The target user determination unit 21 can determine that users whose specific biometric indicators exceed a predetermined value are target users. For example, in the case of VFA, the predetermined value is 10 cm for men. 2 Preferably 50 cm 2 More preferably 80 cm 2 More preferably 100 cm 2For women, 10cm 2 Preferably 30 cm 2 More preferably 50cm 2 More preferably 80 cm 2 That's all. Also, for example, in the case of waist circumference, it is 85cm or greater for men and 90cm or greater for women.

[0031] The target user determination unit 21 can determine a user as a target user if the specific biometric indicator entered by the user exceeds a predetermined value. In addition, the target user determination unit 21 can estimate the user's specific biometric indicator from the information entered by the user and determine a user as a target user if this estimated value exceeds the above predetermined value.

[0032] For example, the target user determination unit 21 estimates the amount of visceral fat accumulation, such as VFA, from the physical information entered by the user, such as gender, age, height, weight, waist circumference, and image data that can estimate this information, and can determine that users whose estimated value exceeds a predetermined value are target users. The target user determination unit 21 may also determine target users based on information other than specific biometric indicators, or it may determine all users as target users.

[0033] The dietary habit classification unit 22 classifies the dietary habits of the target users. The dietary habit classification unit 22 can classify the dietary habits of the target users according to the dietary habit classification method specified in the body fat reduction program created by the program creation device 10. Specifically, the dietary habit classification unit 22 can classify the dietary habits of the target users based on the answers to the dietary habit-related questions specified by the dietary habit classification method (hereinafter referred to as dietary habit information) and specifications made by the target users. The dietary habit classification unit 22 supplies the dietary habit classification of the target users to the dietary guidance unit 23.

[0034] The dietary guidance unit 23 provides dietary guidance to the target users. The dietary guidance unit 23 generates a set of record items, including record items corresponding to the dietary habit classification of the target users, in accordance with the dietary guidance method specified in the body fat reduction program created by the program creation device 10. Tables 2 and 3 below are examples of the set of record items generated by the record information acquisition unit.

[0035] [Table 2]

[0036] [Table 3]

[0037] Additionally, the record items may optionally include the intake of functional components such as chlorogenic acid and ALA-DAG (alpha-linolenic acid diacylglycerol), which contribute to suppressing body fat accumulation and preventing lifestyle-related diseases.

[0038] As shown in Tables 2 and 3, the record item group includes "items categorized by dietary habit classification." "Items categorized by dietary habit classification" are record items categorized by dietary habit classification as determined by the dietary habit classification unit 22, and Tables 2 and 3 show examples of record items for "low health orientation." Table 4 below shows record items for other dietary habit classifications. As these tables show, the record items for each dietary habit classification differ for each classification. Furthermore, calorie expenditure from sources other than walking may also be included in the record items for each dietary habit classification.

[0039] [Table 4]

[0040] Furthermore, the group of recording items may include "Nutrient Intake," as shown in Table 2. "Nutrient Intake" is a recording item for the intake of one or more nutrients selected from protein, omega-3 fatty acids, and dietary fiber. In addition, the group of recording items may include recording items such as "Lifestyle Points," "Daily Calorie Intake," "Steps Taken," and "Body Measurements," as shown in Table 3. Among the group of recording items, all items except "Items by Dietary Habit Classification" are common to each target user. Hereinafter, "Items by Dietary Habit Classification," "Protein," "Dietary Fiber," "Omega-3 Fatty Acids," and "Lifestyle Points" will each be referred to as "Major Items."

[0041] The dietary guidance unit 23 can select record items and generate a group of record items in accordance with the dietary guidance method specified in the body fat reduction program created by the program creation device 10. Furthermore, the dietary guidance unit 23 can also select a means of presenting the created group of record items to the target user in accordance with the same dietary guidance method.

[0042] The record information acquisition unit 24 acquires record information, which is information about the meals and activities recorded by the target user. The record information acquisition unit 24 can acquire record information in accordance with the dietary record method specified in the body fat reduction program created by the program creation device 10. Specifically, the record information acquisition unit 24 can acquire record information entered by the target user using the recording means specified in the dietary record method. The target user enters the record information on a daily or weekly basis. The record information acquisition unit 24 supplies the acquired record information to the evaluation unit 25.

[0043] The evaluation unit 25 evaluates the causes of body fat accumulation or lifestyle-related disease for each target user based on the recorded information. Tables 5 and 6 below show the evaluation method performed by the evaluation unit 25.

[0044] [Table 5]

[0045] [Table 6]

[0046] The evaluation unit 25 aggregates record information for each target user over a certain evaluation period, for example, one week, and can score each record item by taking the average number of positive responses for that record item. For example, for the record item "I ate meals while considering nutritional balance" under "Low health consciousness," the evaluation unit 25 sets the score for that record item to the average number of "○"s over one week. Similarly, for other record items such as "I did not eat until I was full at any meal," the evaluation unit 25 sets the score for those record items to the average number of "○"s over one week.

[0047] The evaluation unit 25 can extract the record items with the highest scores (hereinafter referred to as "the record items") and the record items with the lowest scores (hereinafter referred to as "the lower record items") from among the record items. The highest record items are, for example, the record items with the highest scores (1st to 3rd place), and the lower record items are, for example, the record items with the lowest scores (1st to 3rd place). The evaluation unit 25 can evaluate the lower record items as items that require improvement in order to eliminate the causes of body fat accumulation or the causes of lifestyle-related diseases.

[0048] Furthermore, the evaluation unit 25 can evaluate the intake of nutrients for each target user based on the recorded information. The evaluation unit 25 can estimate the intake ratio and intake status of each nutrient from the scores of each recorded item, "protein," "omega-3 fatty acids," and "dietary fiber." In addition, the evaluation unit 25 can also estimate the "protein / fat ratio," "omega-3 fatty acid / fat ratio," and "dietary fiber / carbohydrate or sugar ratio" from the scores of each recorded item, "protein," "omega-3 fatty acids," and "dietary fiber."

[0049] In addition, the evaluation unit 25 can also evaluate "eating habits" or "personal information" for each target user based on the recorded information. "Eating habits" refers to one or more of the target user's eating quality, quantity, timing, eating habits, and activity level, while "personal information" refers to at least one or more of the following: weight and waist circumference. The priority order of evaluation by the evaluation unit 25 is not limited, but as an example, it is preferable to give the highest priority to "quantity of food," followed by "activity level," "meal timing," "quality of food," "eating habits," and "weight." The evaluation unit 25 supplies the evaluation results to the feedback dietary guidance unit 26.

[0050] The Feedback Dietary Guidance Unit 26 provides dietary guidance to the target user based on the evaluation results from the Evaluation Unit 25. The Feedback Dietary Guidance Unit 26 can generate advice to eliminate the causes of body fat accumulation or lifestyle-related disease based on the evaluation results, in accordance with the feedback dietary guidance method specified in the body fat reduction program created by the program creation device 10.

[0051] Specifically, the Feedback Dietary Guidance Unit 26 can generate advice that praises high-scoring record items and suggests improvements to lower-scoring record items. The Feedback Dietary Guidance Unit 26 can also select record items from the lower-scoring items that show potential for improvement and generate advice that suggests improvements to those record items. The Feedback Dietary Guidance Unit 26 can select record items that show potential for improvement from the lower-scoring items by excluding low-scoring items in each record. Furthermore, the Feedback Dietary Guidance Unit 26 can generate advice that encourages the eating habits of the target user in subsequent sessions.

[0052] For example, as shown in Figure 2, the feedback dietary guidance unit 26 can generate advice that includes advice S1 praising high-performing record items during the evaluation period, advice S2 suggesting improvements to lower-performing record items, and advice S3 encouraging the next evaluation period.

[0053] The Feedback Dietary Guidance Unit 26 can also generate advice using pre-defined templates prepared for each record item. Tables 7 and 8 below show examples of pre-defined templates for each record item. The Feedback Dietary Guidance Unit 26 can generate advice that includes at least one of the pre-defined templates for higher-level record items and pre-defined templates for lower-level record items. The pre-defined templates may include specific menu suggestions, and the menus are preferably items that can be eaten without much effort (such as commercially available foods, prepared meals, or restaurant menus). The pre-defined templates for each record item may differ depending on the season; for example, they may suggest seasonal ingredients and cooking methods that are easily available and can be purchased at different times of the year. By using the pre-defined templates prepared for each season, the Feedback Dietary Guidance Unit 26 can generate advice according to the season at the time of advice generation.

[0054] [Table 7]

[0055] [Table 8]

[0056] The Feedback Dietary Guidance Department 26 can also generate advice for each major category, as shown in Figure 3. In the example shown in Figure 3, the "Quality of Life" column contains different advice for each dietary habit classification.

[0057] Furthermore, the Feedback Dietary Guidance Unit 26 can generate advice based on the evaluation results regarding the nutrient intake of the target user. Based on the estimated intake of "protein," "omega-3 fatty acids," and "dietary fiber" by the Evaluation Unit 25, the Feedback Dietary Guidance Unit 26 can generate advice that praises the intake of nutrients that are consumed in large amounts and encourages the intake of nutrients that are consumed in small amounts. In addition, the Feedback Dietary Guidance Unit 26 can generate advice that praises aspects that are well-evaluated and encourages aspects that are not well-evaluated, based on the evaluation results of the target user's "dietary behavior" or "personal information."

[0058] Furthermore, the Feedback Dietary Guidance Unit 26 can also generate advice that praises the intake of nutrients with high "protein / fat ratios," "omega-3 fatty acid / fat ratios," and "dietary fiber / sugar or carbohydrate ratios" estimated by the Evaluation Unit 25, and encourages the intake of nutrients with low ratios. In this case, the Feedback Dietary Guidance Unit 26 may also generate advice that suggests the intake of functional foods, foods for specified health uses, or foods containing functional ingredients. Note that the Feedback Dietary Guidance Unit 26 is not necessarily required to generate advice on nutrient intake amounts.

[0059] Furthermore, the Feedback Dietary Guidance Department 26 can also generate advice that presents the target user with at least one of the "recommended exercise intensity" and "recommended exercise time" for reducing body fat. The recommended exercise intensity is the exercise intensity that is most effective for reducing body fat when performed by the target user, and the recommended exercise time is the time of day that is most effective for reducing body fat when performed by the target user. Table 9 below shows the factors that influence the change in visceral fat area by dietary habit classification. As shown in the dashed box in Table 9, exercise is an important factor in reducing visceral fat.

[0060] [Table 9]

[0061] The Feedback Dietary Guidance Department 26 identifies at least one of the recommended exercise intensity and recommended exercise time based on "relevant data" and the dietary habit information of the target user obtained by the Dietary Habit Classification Department 22. Relevant data is data showing the relationship between at least one of exercise intensity and exercise time and body fat reduction. Tables 10 and 11 below are examples of relational data. As shown in Table 10, the relational data is the correlation coefficient between exercise intensity and the change in visceral fat area for each exercise time for each dietary habit classification. The change in visceral fat area is also expressed as ΔVFA (Visceral Fat Area).

[0062] [Table 10]

[0063] [Table 11]

[0064] The relational data shown in Table 10 was obtained by collecting information on dietary habits, changes in visceral fat area, exercise timing, and exercise intensity from a large number of users. Each user was then classified into one of the dietary habit categories, and the correlation coefficient between exercise intensity and changes in visceral fat area for each exercise timing was calculated for each dietary habit category. The relational data shown in Table 10 may be generated by the Feedback Dietary Guidance Department 26, or the Feedback Dietary Guidance Department 26 may acquire and use pre-prepared relational data.

[0065] As shown in Table 10, prioritize in descending order of the correlation coefficient for each eating habit classification. As shown in Table 10, the exercise time bands with higher priorities vary depending on the eating habit classification. For example, for "snacking", the time period from 12:00 to 15:00 has the highest priority, the time period from 15:00 to 18:00 has the second highest priority, and the time period from 9:00 to 12:00 has the third highest priority. On the other hand, for "dinner", the time period from 21:00 to 24:00 has the highest priority, the time period from 15:00 to 18:00 has the second highest priority, and the time period from 12:00 to 15:00 has the third highest priority. In the example shown in Table 10, no correlation was found between the exercise intensity and the change in visceral fat area for each exercise time band in "early eater" and "lack of exercise or exercise". Table 11 shows the "average value ± standard deviation of exercise intensity (Ex)" for the exercise time bands with the highest to third highest priorities in Table 10.

[0066] Regarding exercise intensity, Table 12 below shows a table of exercise intensity (Ex), exercise intensity (Mets), and specific examples of exercises. For example, an exercise intensity (Ex) of 5 corresponds to an exercise intensity (Mets) of 4.3, and specifically corresponds to an exercise intensity such as brisk walking or walking in water. Exercise intensity (Ex) and exercise intensity (Mets) can be converted by the following formula (1). The exercise intensity used in this embodiment may be either one of exercise intensity (Ex) and exercise intensity (Mets), or both. Exercise intensity (Mets) = 0.043X 2 + 0.379X + 1.361 (1) X = exercise intensity (Ex)

[0067]

Table 12

[0068] As described above, the feedback dietary guidance unit 26 identifies at least one of the recommended exercise intensity and the recommended exercise time band based on the relationship data and the eating habit information of the target user acquired by the eating habit classification unit 22. Specifically, the feedback dietary guidance unit 26 refers to the eating habit classification of the target user supplied from the eating habit classification unit 22.

[0069] Furthermore, the Feedback Dietary Guidance Department 26 identifies the exercise time slot with the highest correlation coefficient among the relevant data for the dietary habit classification of the target user. For example, if the target user's dietary habit classification is "snacking," the Feedback Dietary Guidance Department 26 identifies "12:00-15:00" as the exercise time slot with the highest correlation coefficient for "snacking" in Table 10, i.e., the highest priority exercise time slot.

[0070] Next, the Feedback Dietary Guidance Unit 26 identifies the exercise intensity for the specified exercise time period. As shown in Table 11, the exercise intensity (Ex) for the specified exercise time period is "2.8 ± 0.7" in mean ± standard deviation. The Feedback Dietary Guidance Unit 26 designates the specified exercise time period as the "recommended exercise time period" for reducing body fat, and the specified exercise intensity as the "recommended exercise intensity" for reducing body fat. The Feedback Dietary Guidance Unit 26 then generates advice that presents at least one of the recommended exercise time period and the recommended exercise intensity. For example, the Feedback Dietary Guidance Unit 26 can generate advice to the effect that "the recommended exercise time period is from 12:00 to 15:00, and the recommended exercise intensity (Ex) is 2.8 ± 0.7."

[0071] Furthermore, the Feedback Dietary Guidance Unit 26 may further identify lower-priority exercise time slots and exercise intensities in the dietary habit classification of the target user. For example, the Feedback Dietary Guidance Unit 26 can identify "15:00-18:00" and its exercise intensity (Ex) of "2.8±0.3" as the second-priority "snack time". The Feedback Dietary Guidance Unit 26 can also identify "9:00-12:00" and its exercise intensity (Ex) of "2.6±0.6" as the third-priority "snack time". The Feedback Dietary Guidance Unit 26 can also identify these exercise time slots as recommended exercise time slots and their respective exercise intensities as recommended exercise intensities, and generate advice that presents at least one of these recommended exercise time slots and recommended exercise intensities.

[0072] In addition, the Feedback Dietary Guidance Unit 26 can, after the completion of the body fat reduction program, prioritize the record items generated by the Dietary Guidance Unit 23 according to the results during the program and present them to the target user, and generate advice (hereinafter referred to as "post-program advice") suggesting the implementation of items selected by the target user. The post-program advice is also advice aimed at eliminating the causes of body fat accumulation or lifestyle-related diseases. Specifically, the Feedback Dietary Guidance Unit 26 can determine the priority of the record items that the target user was able to implement during the program based on the results during the program, in order to eliminate the causes of body fat accumulation or lifestyle-related diseases, and generate post-program advice according to this priority.

[0073] The Feedback Dietary Guidance Department 26 can assign a higher priority to the record items proposed in the advice given during the implementation period of the body fat reduction program (hereinafter referred to as "advice during the period") that the target user was able to perform during the implementation period. For example, if a specific target user classified as "low health orientation" was able to perform the record items corresponding to factors 2, 4, and 5, the Feedback Dietary Guidance Department 26 will assign a priority to these factors in order of their contribution rate. The Feedback Dietary Guidance Department 26 will also assign a priority to the record items that the target user was unable to perform during the implementation period in order of their contribution rate, but will assign a lower priority than the record items that were performed.

[0074] Furthermore, the Feedback Dietary Guidance Department 26 can also assign a higher priority to record items that the target user was unable to perform during the implementation period, among the record items suggested in the advice given during the period. For example, if a specific target user classified as "low health orientation" was able to perform record items corresponding to factors 1 and 3, the Feedback Dietary Guidance Department 26 will assign a priority to these factors in order of their contribution rate. The Feedback Dietary Guidance Department 26 will also assign a priority to record items that the target user was able to perform during the implementation period in order of their contribution rate, but with a lower priority than the record items that were not performed.

[0075] Furthermore, the Feedback Dietary Guidance Department 26 can also determine priority by summing the rankings of the items suggested in the advice during the period, based on the highest implementation rate among the target users and the highest contribution to reducing body fat or preventing lifestyle-related diseases. The Feedback Dietary Guidance Department 26 ranks the items suggested in the advice during the period in order of the highest implementation rate among the target users based on the results of implementation during the implementation period. It also ranks the items suggested in the advice during the period in order of their highest contribution to reducing body fat or preventing lifestyle-related diseases. For each item suggested in the advice during the period, the Feedback Dietary Guidance Department 26 assigns priority in order of the smallest sum of these two rankings.

[0076] The Feedback Dietary Guidance Unit 26 prioritizes the record items suggested in the advice during the period and presents them to the target user. The user selects the record items they intend to continue from among the record items suggested in the advice during the period, and the Continuation Intention Acquisition Unit 28 acquires the selection results. At this time, the user can select the record items they intend to continue by referring to the priority assigned according to the implementation results during the implementation period. The Feedback Dietary Guidance Unit 26 can generate post-period advice suggesting the implementation of the record items selected by the target user.

[0077] The Feedback Dietary Guidance Unit 26 can further generate post-period advice to address the causes of body fat accumulation or lifestyle-related disease based on post-period biological indicators (hereinafter referred to as post-period indicators). For example, if the post-period indicator is weight, the Feedback Dietary Guidance Unit 26 can generate post-period advice according to the amount of weight change after the implementation period, praising the person if their weight has decreased and encouraging them if their weight has increased. In addition, the Feedback Dietary Guidance Unit 26 can generate post-period advice that praises the person if their post-period indicator has improved, and suggests improvements or encourages them if their post-period indicator has not improved.

[0078] The method for generating advice by the Feedback Dietary Guidance Unit 26 is not particularly limited, but in addition to using the standard phrases described above, the Feedback Dietary Guidance Unit 26 can collect the obtained data, perform machine learning on it, and generate advice using the learning results. Furthermore, the Feedback Dietary Guidance Unit 26 can generate advice based on nutritional guidance from experts such as registered dietitians. The Feedback Dietary Guidance Unit 26 supplies the generated advice to the Presentation Information Generation Unit 27.

[0079] The presentation information generation unit 27 generates presentation information, including advice supplied by the feedback dietary guidance unit 26. The presentation information generation unit 27 generates a presentation image containing the generated presentation information, and can then present the presentation information to the user.

[0080] The continuation intention acquisition unit 28 acquires the continuation intention of each target user for each record item in the record item group. The continuation intention acquisition unit 28 acquires the continuation intention of each target user for each record item shown in Tables 2 and 3. As shown in Figure 4, the continuation intention acquisition unit 28 can acquire the continuation intention of each target user by asking the target user whether or not they intend to continue using each record item and based on their answers.

[0081] The continuation intention acquisition unit 28 acquires the continuation intention of the target users after the end of the program implementation period. The continuation intention of the target users differs depending on the recorded item. The continuation intention acquisition unit 28 supplies the acquired continuation intention of each target user to the dietary guidance unit 23.

[0082] The Dietary Guidance Department 23 extracts record items based on the recorded information and intention to continue, and generates a new set of record items that include those record items. Specifically, the Dietary Guidance Department 23 identifies the "implementation rate," which is the percentage of implementation of each record item during the program implementation period. For example, if the program implementation period is 4 weeks (28 days) and record content is entered once a day, the implementation rate of one record item (see Tables 5 and 6), such as "Consume foods containing chlorogenic acid," is the ratio of the number of recorded "〇"s to the total number of "〇"s over 4 weeks (28). If the number of "〇"s is 21, the implementation rate is 75%, and if the number of "〇"s is 14, the implementation rate is 50%. If the record item is a numerical value, such as "Measure weight," then if a numerical value is recorded, it is treated as "〇," and the ratio of those numbers is used as the implementation rate.

[0083] Furthermore, for record items that include multiple sub-items, such as "pay attention to meal times," the degree of practice can be calculated as the percentage of the total number of "〇" marks. For example, "pay attention to meal times" includes four sub-items such as "ate breakfast within one hour of waking up," so the number of "〇" marks over four weeks would be 112 (4 marks x 28 days). If the total number of "〇" marks for these four record items was 84 during the program implementation period, the degree of practice for "pay attention to meal times" would be 75%.

[0084] The Dietary Guidance Department 23 extracts record items in which the level of implementation is above a predetermined value and in which the target user intends to continue. In other words, the Dietary Guidance Department 23 does not extract record items in which the level of implementation is above a predetermined value but the target user does not intend to continue, nor does it extract record items in which the level of implementation is below a predetermined value even if the target user intends to continue. The predetermined value is, for example, 80%. Hereinafter, the record items extracted by the Dietary Guidance Department 23 in which the level of implementation is above a predetermined value and in which the target user intends to continue will be referred to as "record items for continuation."

[0085] Figure 5 shows an example of the continuation record items extracted by the Dietary Guidance Department 23 for each target user, with continuation record items shown in black text and other record items in white text. As shown in the figure, different continuation record items are extracted for each target user. The number of continuation record items extracted also differs for each target user. The Dietary Guidance Department 23 can generate a group of record items (hereinafter referred to as the continuation record item group) including the extracted continuation record items and present it to the target user.

[0086] The program execution device 20 has the configuration described above. Each component of the program execution device 20 is a functional configuration realized through the cooperation of the hardware and software of an information processing device, which consists of a CPU (Central Processing Unit) and RAM (Random Access Memory), etc. The software is a program that can be executed by the information processing device, and may be a program recorded on a recording medium that can be read by the information processing device. In addition, some or all of the operations of the program execution device 20 may be performed by the instructor of the target user on behalf of the program execution device 20.

[0087] [Regarding the method for generating dietary habit classifications] As described above, the dietary habit classification method selection unit 121 selects a "dietary habit classification method," which is a method of selecting the dietary habit classification of the target user from among multiple dietary habit classifications. The method for generating dietary habit classifications will be described below. Dietary habit classifications can be generated using a dietary habit classification device.

[0088] As shown in Figure 6, the dietary habit classification generation device 30 comprises a data acquisition unit 31, a dietary habit classification generation unit 32, and a ranking determination unit 33. The dietary habit classification generation device 30 analyzes users whose specific biological indicators are equal to or greater than the standard values ​​shown in Table 1 and generates a dietary habit classification. Hereinafter, these users will be referred to as "analyzed users." The number of analyzed users is not particularly limited, but 100 or more is preferable.

[0089] The data acquisition unit 31 acquires "eating habit information," which is information about each target user's eating habits (including dietary habits, eating behavior, lifestyle behavior, exercise habits, and personality), and data on specific biometric indicators for multiple target users.

[0090] The dietary habit information consists of responses to 35 questions regarding dietary habits, as listed below. However, it is not limited to these items. Q01 Even if I'm not hungry, I can't help but eat if something smells delicious. Q02 If someone around me is eating something, I'll eat it too. Q03 When I'm feeling depressed, I tend to overeat. Q04 I consciously limit my food intake to avoid gaining weight. Q05 I feel like I'm hungry all day long. Q06 I feel guilty about overeating, so I'm reducing the amount I eat. Q07 I try to buy low-calorie foods. Q08 I think I eat faster than other people. Q09 Do you actively eat green and yellow vegetables? Q10 I like hamburgers, donuts, and potato chips. Q11 Do you actively choose foods that are high in dietary fiber? Q12 I prefer fish to meat. Q13 I often eat a late-night snack after dinner. Q14 I'm trying to reduce my intake of animal fats and increase my intake of plant-based fats and fish fats. Q15 I think I have a body type that gains weight more easily than other people. Q16 I think I won't have any energy if I don't eat. Q17 Meal times are all over the place. Q18 I have a sweet tooth. Q19 Eating a late-night snack Q20 I can't help but reach for fruit and sweets when they're out there. Q21 When I receive food as a gift, I eat it because I don't want to waste it. Q22 I can't help but buy more groceries than I actually need. Q23 I often have late dinners because of work. Q24 If there is an elevator or escalator, use it. Q25 I finish dinner more than two hours before going to bed. Q26 I don't like walking or cycling. Q27 I don't exercise much. Q28 I hardly chew at all Q29 I think it's more about not getting enough exercise than overeating. Q30 I'm a night owl and not a morning person. Q31 I'm lazy. Q32 Insightful Q33 Cooperative Q34 I am proactive. Q35 I get nervous easily

[0091] The user being analyzed selects one of the following options for each question: "Does not apply = 1", "Does not apply very well = 2", "Neither agree nor disagree = 3", "Somewhat agree = 4", or "Applies = 5", and answers accordingly to generate dietary habit information. Note that the above questions are just examples, and other questions may be used. Also, the number of questions is not limited to 35. The data acquisition unit 31 supplies the acquired dietary habit information and biometric indicator data to the dietary habit classification generation unit 32.

[0092] The dietary habit classification generation unit 32 performs factor analysis on the data supplied from the data acquisition unit 31 and generates multiple dietary habit classifications based on factors for biometric indicators of dietary habit information. The dietary habit classifications categorize the dietary habits of the user being analyzed, and include classifications such as "low health consciousness," "snacking," "late-night eating," "eating quickly," "lack of exercise," "eating late at night," "low basal metabolism," and "other (does not fall into any of the above categories)."

[0093] "Low health consciousness" refers to a category of eating habits characterized by indifference to diet and exercise, and eating without considering health. For example, it has the following characteristics: [Diet] I don't try to buy low-calorie foods. • I don't actively eat green and yellow vegetables. • I don't actively choose foods that are high in dietary fiber. • I am trying to reduce my intake of animal fats and avoid plant-based fats and fish fats. I like hamburgers, donuts, and potato chips. I don't like fish more than meat. • I don't consciously restrict my food intake to avoid gaining weight. I feel guilty about overeating, so I haven't reduced the amount I eat. • Meal times are irregular. • Eat a late-night snack [motion] • Use the elevator or escalator if available. • Few steps I don't exercise much. I think it's more about not getting enough exercise than overeating. [Personality] • Lazy • Lack of insight Not proactive

[0094] "Snacking" is a category of eating habits characterized by a strong craving for sweets and a tendency to eat snacks without thinking, and it has the following characteristics, for example: [Diet] I like hamburgers, donuts, and potato chips. • I have a sweet tooth. I can't help but reach for fruit and sweets when they're out there. If someone around me is eating something, I'll eat it too. Even if I'm not hungry, I can't help but eat if something smells delicious. I tend to overeat when I'm feeling down. I eat food when I receive it because I don't want to waste it. [Meal contents] • High intake of lipids, plant-based lipids, saturated fatty acids, monounsaturated fatty acids, and sucrose. [motion] • Low muscle mass [Personality] I think I have a body type that gains weight more easily than other people. I feel like I won't have any energy if I don't eat. I can't rest easy unless I buy more groceries than I actually need. • Short • Low basal metabolic rate

[0095] "Late-night snacking" is a classification of eating habits where people are night owls and eat a late-night snack after dinner, and it has the following characteristics, for example. [Diet] • I often eat a late-night snack after dinner. • Eat a late-night snack • I often have late dinners because of work. • Meal times are all over the place. If someone around me is eating something, I'll eat it too. Even if I'm not hungry, I can't help but eat if something smells delicious. • I don't consciously restrict my food intake to avoid gaining weight. I tend to overeat when I'm feeling down. I feel like I'm hungry all day long. • I have a sweet tooth. I can't help but reach for fruit and sweets when they're out there. I eat food when I receive it because I don't want to waste it. [Meal contents] • High intake of energy, carbohydrates, and sucrose. • Low intake of animal protein, vitamin D, niacin, vitamin B6, vitamin B12, and alcohol. [motion] I don't exercise much. [Personality] I think I have a body type that gains weight more easily than other people. I can't rest easy unless I buy more groceries than I actually need. I'm a night owl and not a morning person. • Lazy • Easily gets nervous • Young ·Emotionally unstable

[0096] "Eating quickly" is a category of eating habits characterized by a large physique and a tendency to eat food without chewing it properly. For example, it has the following characteristics: [Diet] I think I eat faster than other people. • I hardly ever chew. I eat food when I receive it because I don't want to waste it. • I haven't finished dinner more than two hours before going to bed. [Personality] • Overweight • High muscle mass • High basal metabolic rate

[0097] "Lack of exercise" is a classification of eating habits characterized by a dislike of exercise and insufficient consumption of meat and vegetables, and has the following characteristics, for example: [Diet] • I don't actively eat green and yellow vegetables. • I don't actively choose foods that are high in dietary fiber. I don't like fish more than meat. • I am trying to reduce my intake of animal fats and avoid plant-based fats and fish fats. I feel guilty about overeating, so I haven't reduced the amount I eat. [Meal contents] • Low intake of beta-carotene [motion] I don't like walking or cycling. • Few steps I don't exercise much. I think it's more about not getting enough exercise than overeating. [Personality] • Lazy • High body fat percentage

[0098] "Late-night eating" is a classification of eating habits that involve having dinner late at night while drinking alcohol, and has the following characteristics, for example: [Diet] • I often have late dinners because of work. • I haven't finished dinner more than two hours before going to bed. • Meal times are all over the place. • I have a sweet tooth. [Meal contents] • Low intake of lipids, potassium, calcium, iron, zinc, copper, vitamin B1, vitamin C, saturated fatty acids, soluble dietary fiber, insoluble dietary fiber, total dietary fiber, and sucrose. • High alcohol consumption

[0099] "Decreased basal metabolism" refers to a type of eating habit where you gain weight even if you eat the same amount as before, and it has the following characteristics, for example. [Meal contents, portion sizes, meal times, exercise] No problem [Personality] • Older

[0100] The dietary habit classification generation unit 32 performs factor analysis on the dietary habit information and biometric indicator data of multiple target users. While the method of factor analysis is not limited, statistically surveyed data related to dietary habit information and biometric indicators are preferred. For example, various models can be employed, such as multiple regression analysis using statistical data, logistic regression models, multilayer perceptrons, neural networks such as CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks), support vector machines using arbitrary kernel functions such as Gaussian kernels, random forests modeled as regression trees, models utilizing hidden Markov models, statistical models, probabilistic models, factor analysis, and correspondence tables. Furthermore, models that combine various models to perform a comprehensive judgment can also be employed. Among these, factor analysis using the principal component method with varimax rotation is particularly preferred.

[0101] Tables 13 and 14 below show the "factor loadings," "eigenvalues," "contribution rates," and "cumulative contribution rates" for each questionnaire item, calculated using the "principal component method with varimax rotation" for VFA, a bioindicator of visceral fat accumulation.

[0102] [Table 13]

[0103] [Table 14]

[0104] As shown in Tables 13 and 14, the dietary habit classification generation unit 32 sorts each question item into factors according to their factor loadings. For example, Q04, Q07, Q06, Q09, and Q11 are sorted into "Factor 1" because their factor loadings (indicated by black squares) for "Factor 1" exceed the standard value. The standard value is, for example, 0.4. Similarly, Q02, Q01, and Q20 are sorted into "Factor 2," Q19 and Q13 into "Factor 3," and Q08 and Q28 into "Factor 4." In addition, Q27 and Q29 are sorted into "Factor 5," and Q25 and Q23 into "Factor 6." The dietary habit classification generation unit 32 generates dietary habit classifications such as "low health orientation" for each factor, according to the content of the question items sorted into each factor.

[0105] Similarly, for biomarkers other than VFA, the dietary habit classification generation unit 32 selects each question item for each factor according to its factor loading. Table 15 below shows the dietary habit classification for each factor for each symptom. As shown in Table 15, the dietary habit classification for each factor and the corresponding question items differ for each symptom. The dietary habit classification generation unit 32 supplies the generated dietary habit classification and "contribution rate" to the ranking determination unit 33.

[0106] [Table 15]

[0107] The ranking unit 33 determines the priority order among the dietary habit classifications in order of their contribution rate. In the examples in Tables 13 and 14, the contribution rate of "low health consciousness" (0.12) is the highest, followed by the contribution rate of "snacking" (0.11). The contribution rates then gradually decrease in the order of "eating late at night," "eating quickly," "lack of exercise," and "eating late at night." Therefore, the ranking unit 33 gives the highest priority to "low health consciousness," followed by "snacking," "eating late at night," "eating quickly," "lack of exercise," and "eating late at night."

[0108] Table 15 shows the priority order of dietary habit classifications based on their contribution rates for each symptom. As shown in Table 15, the ranking unit 33 assigns the highest priority to "late-night eating" for "dyslipidemia," followed by "overeating," "lack of exercise," and "poor health consciousness." Similarly, for "hypertension," "late-night eating" is given the highest priority, followed by "snacking," "lack of exercise," "poor health consciousness," and "eating too quickly." For "hyperglycemia," "snacking" is given the highest priority, followed by "late-night eating," "lack of exercise," "irregular meal times," and "restricted food intake." Note that the dietary habit classification names, contribution rates, and priority levels will vary depending on the data used. The results disclosed in this specification are examples only. Prioritization may be changed according to the user's desired improvement objectives.

[0109] In this way, the dietary habit classification generator 30 can generate multiple dietary habit classifications. Note that the method for generating dietary habit classifications is not limited to those shown herein.

[0110] [Details on each method] The following details the "Eating Habit Classification Method," "Eating Guidance Method," "Eating Record Method," "Feedback Eating Guidance Method," and "Post-Period Advice Method." Table 16 below shows patterns for these methods. Note that the patterns shown below are examples and are not limited to those shown.

[0111] [Table 16]

[0112] [Eating habits classification method] The dietary habit classification method selection unit 121 (see Figure 1) can select one of the following dietary habit classification methods A to E based on user preference information. Specifically, the dietary habit classification method selection unit 121 can select a dietary habit classification method by selecting the items to present to the target user for dietary habit classification and whether or not the target user can specify the dietary habit classification. The items to present to the target user for dietary habit classification include the following question items and selection items. The dietary habit classification unit 22 of the program execution device 20 can classify the target user's dietary habits according to the dietary habit classification method selected by the dietary habit classification method selection unit 121.

[0113] Pattern A of the dietary habit classification method is an automatic determination based on answers to 35 questions related to dietary habits. Specifically, the dietary habit classification unit 22 can generate a screen displaying questions related to dietary habits, as shown in Figure 7, and makes it easier to answer by displaying one question per screen. The dietary habit classification unit 22 may also acquire further personal data that affects the dietary habits of the target user, such as gender, age, place of residence, place of origin, occupation, and income.

[0114] The dietary habit information acquisition unit 22 determines whether the dietary habits of each target user fall into each dietary habit classification based on the answers to the questions (dietary habit information). The dietary habit classification unit 22 can determine whether the dietary habits of the target user fall into each dietary habit classification based on the answer scores of the questions selected for each dietary habit classification. The rotation scores are the scores for "does not apply = 1", "does not apply very well = 2", "neither agree nor disagree = 3", "somewhat applies = 4", and "applies = 5" as described above.

[0115] For example, regarding visceral fat accumulation, the eating habit classification unit 22 determines that a user's eating habits fall under "low health orientation" if the answer scores for Q04, Q07, Q06, Q09, and Q11, which are categorized as "low health orientation" (see Table 15), are all "does not apply = 1" or "somewhat does not apply = 2". Similarly, the eating habit classification unit 22 determines that a user's eating habits fall under "snacking" if the answer scores for Q02, Q01, and Q20, which are categorized as "snacking," are all "applies = 5" or "somewhat applies = 4". In the same manner, the eating habit classification unit 22 determines whether a user's eating habits fall under "late-night eating," "eating too quickly," or "lack of exercise" based on the answer scores for each of the categorized eating habits. Furthermore, the eating habit classification unit 22 determines that a user's eating habit falls under "eating late at night" if the answer score for question Q25, which is selected as "not applicable = 1" or "somewhat not applicable = 2", and the answer score for Q23 is "applicable = 5" or "somewhat applicable = 4".

[0116] Here, the eating habit classification unit 22 determines that the eating habits of the target user fall under multiple eating habit classifications if the response score meets the conditions in multiple eating habit classifications. Conversely, if the response score does not meet any of the conditions in any eating habit classification, the eating habits of the target user fall under none of the eating habit classifications.

[0117] Alternatively, the eating habit classification unit 22 determines that a user's eating habits fall under "low health orientation" if the sum of the response scores for questions Q04, Q07, Q06, Q09, and Q11 (see Table 15), which are categorized as "low health orientation," is above a threshold. Similarly, the eating habit classification unit 22 determines that a user's eating habits fall under "snacking" if the sum of the response scores for questions Q02, Q01, and Q20, which are categorized as "snacking," is above a threshold. In the same manner, the eating habit classification unit 22 determines whether a user's eating habits fall under each of the following categories based on the response scores for the questions categorized as "late-night eating," "eating too quickly," "lack of exercise," and "late-night meals."

[0118] In this case, the eating habit classification unit 22 determines that the eating habits of the target user fall into multiple eating habit classifications if the response score is above the threshold in multiple eating habit classifications. Conversely, if the response score is below the threshold in any of the eating habit classifications, the eating habit classification unit 22 determines that the eating habits of the target user do not fall into any of the eating habit classifications.

[0119] If the Eating Habit Classification Unit 22 determines that a target user's eating habits fall under one eating habit classification, it decides to classify that user's eating habits under that classification. If the Eating Habit Classification Unit 22 determines that a target user's eating habits fall under multiple eating habit classifications, it decides to classify that user's eating habits under the eating habit classification with the highest priority (see Table 15) determined by the Ranking Determination Unit 33. For example, if a particular target user's eating habits are determined to fall under "snacking" and "lack of exercise" in relation to visceral fat accumulation, the Eating Habit Classification Unit 22 will decide to classify that user's eating habits under the higher priority classification of "snacking."

[0120] Furthermore, if the dietary habit classification unit 22 determines that a target user's dietary habits do not fall under any of the dietary habit classifications, it can classify that user's dietary habits in a different category than the dietary habit classifications generated for each factor. For example, if the dietary habit classification unit 22 determines that a target user's dietary habits do not fall under any of the dietary habit classifications regarding visceral fat accumulation, it will classify the target user's dietary habits as "decreased basal metabolism." This is because, even though there are no problems with the target user's dietary habits, the amount of visceral fat accumulation exceeds a specified value, and it can be determined that this is due to a decrease in basal metabolism.

[0121] The eating habit classification unit 23 classifies the eating habits of the target users into one of the following categories. The eating habit classification unit 23 can generate a display screen of the eating habit classification as shown in Figure 8, and visually notify the target users of the classification results. The radar chart shows the response scores for each eating habit classification.

[0122] Pattern A is a method in which the dietary habit classification unit 22 automatically determines the dietary habit classification of the target user based on their answers to 35 questions related to their eating habits. The dietary habit classifications to be determined are, but are not limited to, "poor health consciousness," "snacking," "late-night eating," "eating too quickly," "lack of exercise," "eating late at night," and "low basal metabolism."

[0123] Pattern B of the dietary habit classification method is a selection method that uses the judgment results based on the answers to 35 questions about dietary habits. Specifically, the dietary habit classification unit 22 automatically determines the dietary habit classification of the target user in the same manner as in Pattern A, and then presents the determined dietary habit classification and other dietary habit classifications to the target user. The target user, referring to the judgment results from the dietary habit classification unit 22, specifies the dietary habit classification that they believe corresponds to their own dietary habit classification from among the multiple dietary habit classifications. The target user inputs the specified dietary habit classification into the program execution device 20, and the dietary habit classification unit 22 sets the input dietary habit classification as the target user's dietary habit classification.

[0124] Pattern C of the dietary habit classification method is a method of classifying dietary habits using the selection of 21 optional items related to eating habits. Specifically, the dietary habit classification unit 22 presents the target user with a total of 21 optional items, three for each dietary habit classification, as shown in Figure 9. The target user selects the optional items that correspond to their own dietary habits, and the dietary habit classification with the most applicable optional items becomes their own dietary habit classification. The target user inputs their own dietary habit classification into the program execution device 20, and the dietary habit classification unit 22 uses the inputted dietary habit classification as the target user's dietary habit classification.

[0125] Pattern D of the dietary habit classification method is a method of classifying dietary habits that uses a judgment based on seven questionnaire items related to eating habits. Specifically, the dietary habit classification unit 22 presents the seven questionnaire items shown in Figure 10 to the target user. The target user can determine their own dietary habit classification by answering the questionnaire items. The target user inputs the determined dietary habit classification into the program execution device 20, and the dietary habit classification unit 22 uses the input dietary habit classification as the target user's dietary habit classification.

[0126] Pattern E of the dietary habit classification method is a dietary habit classification method that uses seven selectable items for dietary habit classification. Specifically, the dietary habit classification unit 22 presents the target user with seven dietary habit classifications: "poor health consciousness," "snacking," "late-night eating," "eating too quickly," "lack of exercise," "eating late at night," and "decreased basal metabolism." The dietary habit classification unit 22 may also provide an explanation for each item. The target user can select their own dietary habit classification from the seven selected items presented. The target user inputs the selected dietary habit classification into the program execution device 20, and the dietary habit classification unit 22 uses the input dietary habit classification as the target user's dietary habit classification.

[0127] [Dietary guidance method] The dietary guidance method selection unit 122 selects a dietary guidance method based on user preference information. Specifically, the dietary guidance method selection unit 122 can select a dietary guidance method by selecting a means for presenting the target user with record items to be started (hereinafter referred to as "guidance means") and the record items to be presented to the target user (hereinafter referred to as "guidance items"). The dietary guidance method selection unit 122 can also select "options" when presenting the guidance items to the target user.

[0128] The dietary guidance method selection unit 122 can select one guidance method from the following patterns A to D, one guidance item from the following patterns A and B, and one option from the following patterns A to D. The dietary guidance unit 23 of the program implementation device 20 can provide dietary guidance to the target user according to the dietary guidance method selected by the dietary guidance method selection unit 122.

[0129] <Instruction method> Instructional methods patterns A to D are means by which the Dietary Guidance Department 23 presents the target user with a set of record items (see Tables 2 and 3) generated according to the target user's dietary habit classification. As shown in Table 19, pattern A is direct instruction by an instructor to the target user. Pattern B is instruction via video, pattern C is instruction via booklet, and pattern D is instruction via paper materials.

[0130] <Guidance items> Patterns A and B of the guidance method are the content of the record items to be presented to the user being guided from the above set of record items (see Tables 2 and 3). Pattern A includes all of the set of record items, for example, 25 items for "Smart Japanese Food," 5 items for "Dietary Habit Classification," "Amount of Food," and "Activity Level." Pattern B includes a portion of the set of record items (see Tables 2 and 3), for example, 2 items for "Smart Japanese Food," 1 item for "Dietary Habit Classification," and "Amount of Food." The dietary guidance department 23 may select record items with a high contribution rate for each dietary habit classification as items to be presented to the user being guided, or it may select one record item from each major category (see Tables 2 and 3) as items to be presented to the user being guided.

[0131] <Options> Optional patterns A through D are items provided to the target user along with the above set of recording items. Pattern A is "Intake of Foods for Specified Health Uses and Foods with Function Claims," ​​Pattern B is "Use of a diet management application," Pattern C is "Wearing an activity tracker," and Pattern D is "No options."

[0132] [Method for recording dietary habits] The dietary habits recording method selection unit 123 selects a dietary habits recording method based on user preference information. The dietary habits recording method selection unit 123 can select a dietary guidance method by selecting a "recording means" which is a means for recording the recording information and "recording items" which are recorded by the target user. The dietary habits recording method selection unit 123 can select one of the following patterns A to E for the recording means and one of the following patterns A to D for the recording items. The recording information acquisition unit 24 of the program implementation device 20 can acquire recording information (see Tables 2 and 3) from the target user according to the dietary habits recording method selected by the dietary habits recording method selection unit 123.

[0133] <Recording means> Recording methods A to E are means by which the user records their own implementation details in response to a set of record items presented to them by the dietary guidance department 23. Recording method A is a smartphone application, and the user can use the smartphone application to answer whether or not each record item applies to them, as shown in Figure 11, and input the record information.

[0134] Recording method pattern B is a web application, and the target user can use the web application to answer whether or not each record item applies, as shown in Figure 11, and input the record information. Recording method pattern C is spreadsheet software, and the target user can use the spreadsheet software to record whether or not each record item applies, as shown in Tables 2 and 3, and input the record information.

[0135] Recording method pattern D is a record sheet, and the target user can use the record sheet to record whether or not each record item applies, as shown in Figures 12 and 13, and input the record information. Recording method pattern E is a web form creation tool. The target user can use the web form creation tool to record whether or not each record item applies, as shown in Tables 2 and 3, and input the record information.

[0136] <Record Items> The recording item patterns A to D represent the proportion of recording items that the target user records their own implementation details from the set of recording items presented to the target user by the Dietary Guidance Department 23. Recording item pattern A includes all the recording items presented to the target user by the Dietary Guidance Department 23, and the target user records whether or not all of the recording items apply to them.

[0137] Pattern B of the record items consists of all the record items selected by the target user from the group of record items presented to the target user by the Dietary Guidance Department 23. The target user selects the record items they can perform and records whether or not they apply to the selected record items.

[0138] Record item pattern C consists of a selection of record items from a group of record items presented to the target user by the Dietary Guidance Department 23. The target user selects the record items they are able to perform and records whether or not some of the selected record items apply to them. Record item pattern D is "No Record," in which case the target user does not record their own performance.

[0139] [Feedback Dietary Guidance Methods] The feedback dietary guidance method selection unit 124 selects a feedback dietary guidance method based on user preference information and recorded information. The feedback dietary guidance method is a method of presenting advice to the target user based on the recorded information. The feedback dietary guidance method selection unit 124 can select a feedback dietary guidance method by selecting an advice provider. The advice provider is the entity that generates and returns the advice.

[0140] Specifically, the feedback dietary guidance method selection unit 124 can select one of the following feedback dietary guidance methods A to C. The feedback dietary guidance unit 26 of the program implementation device 20 can provide feedback dietary guidance to the target user according to the feedback dietary guidance method selected by the feedback dietary guidance method selection unit 124.

[0141] Pattern A of the feedback dietary guidance method involves the automatic creation and return of feedback dietary guidance. As described above, the feedback dietary guidance unit 26 can generate advice based on the evaluation results of the recorded information by the evaluation unit 25 and provide feedback dietary guidance.

[0142] Pattern B of the feedback dietary guidance method involves the manual creation and manual return of the feedback dietary guidance. The instructor for the target user can generate advice by referring to the recorded information and provide feedback dietary guidance. Pattern C of the feedback dietary guidance method is "none," meaning no feedback dietary guidance is provided.

[0143] [How to provide advice after the period has passed] The feedback dietary guidance method selection unit 124 selects a post-period advice method based on user preference information and recorded information. The post-period advice method is a method of presenting advice to the target user based on post-period indicators (biological indicators after the implementation period). The feedback dietary guidance method selection unit 124 can select whether or not to provide post-period advice.

[0144] Specifically, the feedback dietary guidance method selection unit 124 can select one of the following post-period advice methods A to C. The feedback dietary guidance unit 26 of the program implementation device 20 can provide post-period advice to the target user according to the post-period advice method selected by the feedback dietary guidance method selection unit 124.

[0145] Pattern A of the post-period advice method is based on voluntary practice by the target user. The user voluntarily records post-period indicators, and the feedback dietary guidance method selection unit 124 does not provide post-period advice based on these indicators. Pattern B of the post-period advice method is based on the voluntary practice by the target user. The user voluntarily records post-period indicators, and the feedback dietary guidance method selection unit 124 can provide post-period advice based on these indicators. Pattern C of the post-period advice method is "none," where the user does not record post-period indicators, and the feedback dietary guidance method selection unit 124 does not provide post-period advice based on these indicators.

[0146] [About program creation] The program creation unit 12 of the program creation device 10 selects one from each of the above patterns: "eating habit classification method," "eating guidance method," "eating record method," "feedback eating guidance method," and "post-period advice method," according to the user's requested information, and creates a body fat reduction program. The program creation device 10 can perform the above selections and create a body fat reduction program in the following manner.

[0147] The "Dietary Habits Classification Method" determines patterns A to E based on the user's desired personality, the instructor's available time for guidance, their guidance skills, and their guidance experience. The "Dietary Guidance Method" determines patterns A to D (Guidance Methods), patterns A to B (Guidance Items), and patterns A to D (Options) based on the user's desired intervention intensity, specific numerical targets, time to achieve the targets, personality, or the instructor's available time for guidance, their guidance skills, and their guidance experience.

[0148] The "Dietary Habits Recording Method" determines patterns A-E (recording methods) and A-D (recording items) based on the user's desired intervention intensity, specific numerical targets, time to achieve the targets, and personality. The "Feedback Dietary Guidance Method" determines patterns A-C based on the user's desired intervention intensity, specific numerical targets, time to achieve the targets, personality, or the time and frequency the instructor can dedicate to guidance, guidance skills, and guidance history. The "Post-Period Advice Method" determines patterns A-C based on the user's desired intervention intensity, specific numerical targets, time to achieve the targets, personality, or the time and frequency the instructor can dedicate to guidance, guidance skills, and guidance history.

[0149] Table 17 below shows examples of body fat reduction programs created by the program creation unit 12. In Table 17, "Example 1" is for cases where you want to reduce visceral fat intensively in a short period of time, "Example 2" is for cases where you want to reduce visceral fat by continuing without much effort, "Example 3" is for cases where you want to reduce visceral fat intensively before a health checkup, "Example 4" is for cases where you want to reduce visceral fat intensively before a health checkup, and "Example 5" is for cases where you want to reduce visceral fat intensively after a health checkup.

[0150] [Table 17]

[0151] As shown in Table 17, the program creation unit 12 can select one from each of the following according to the user's requested information: "eating habit classification method," "eating guidance method," "eating record method," and "feedback eating guidance method," and create a body fat reduction program that meets the user's needs.

[0152] [Operation of the program provision system] The operation of the program provision system 1 will now be explained. The program creation device 10 operates in each step of the "body fat reduction program creation" process, as shown in Figure 14. Table 18 below shows the contents of the "input," "judgment," and "output" in the "body fat reduction program creation" process.

[0153] [Table 18]

[0154] The user preference information acquisition unit 11 acquires user preference information before the program is implemented (St11). As shown in Table 18, the user preference information includes the intervention intensity, body fat reduction target value, and timeframe for achieving the body fat reduction target for the target user. The user preference information may also include at least one of the following: the amount of time the instructor can dedicate to instruction, the frequency of instruction, instruction skills, and instruction experience.

[0155] Next, the program creation unit 12 selects one "eating habit classification method," one "eating guidance method," one "eating record method," and one "feedback eating guidance method" according to the user's requested information, and creates a body fat reduction program (St12). Subsequently, the program creation unit 12 supplies the created body fat reduction program to the program execution device 20 and provides it to the program execution device 20 (St13).

[0156] As described above, the program execution device 20 generates a dietary habit classification based on data related to the dietary habits and biometric indicators of multiple users to be analyzed. The generation of the dietary habit classification only needs to be performed once when the program provision system 1 is built, but it may be performed again after construction. As shown in Figure 14, the program execution device 20 operates both "before the body fat reduction program is implemented" and "during the body fat reduction program is implemented". Table 19 below shows the contents of "input", "judgment", and "output" before and during the program implementation.

[0157] [Table 19]

[0158] Before program execution, as shown in Figure 14, the target user determination unit 21 determines the target users (St21). As shown in Table 19, the target user determination unit 21 can receive physical information input from the user and calculate specific biometric indicators. Furthermore, based on the specific biometric indicators, the target user determination unit 21 can determine whether or not each user is a target user for the program and output to each user whether or not they are a target user for the program.

[0159] Next, the eating habit classification unit 22 determines the eating habit classification of the target user using the eating habit classification method selected by the eating habit classification method selection unit 121 (St22). Subsequently, the dietary guidance unit 23 creates a set of record items using the dietary guidance method selected by the dietary guidance method selection unit 122, and provides dietary guidance to the target user using the created set of record items (St23).

[0160] During program execution, the recording information acquisition unit 24 acquires the recording information of the target user recorded using the dietary record method selected by the dietary record method selection unit 123 (St24). Subsequently, the evaluation unit 25 evaluates the recording information (St25), and the feedback dietary guidance unit 26 generates advice using the feedback dietary guidance method selected by the feedback dietary guidance method selection unit 124 and provides feedback dietary guidance to the target user (St26). Subsequently, the presentation information generation unit 27 generates presentation information including the advice and outputs it to at least one of the target user and their instructor.

[0161] The program execution device 20 performs the "before implementing the body fat reduction program" operation, and then performs the "during implementing the body fat reduction program" operation at intervals of the implementation period. The program execution device 20 can perform the "during implementing the body fat reduction program" operation once or multiple times. In addition, after the implementation of the body fat reduction program, the program execution device 20 may have a continuation intention acquisition unit 28 acquire the continuation intention of the target user, and a dietary guidance unit 23 generate a set of record items for continuation.

[0162] In this manner, Program Provision System 1 provides the body fat reduction program to each user, including the target user, the provider of the body fat reduction program, and the target user's instructor. The operation of Program Provision System 1 described above is just one example; Program Provision System 1 only needs to provide each user with a body fat reduction program generated according to the user's desired information. In addition to program provision, the dietary habit classification of the target user can be used for product recommendations, service provision and collaboration, future predictions (body shape, lifestyle-related diseases, etc.), and introductions to peers (community building), etc.

[0163] [Effects of the program delivery system] As described above, the program provision system 1 provides a body fat reduction program that includes a "dietary habit classification method," "dietary guidance method," "dietary record method," and "feedback dietary guidance method" selected according to the user's desired information. This makes it possible to provide a body fat reduction program that is tailored to the needs of each user, including the target user, the provider of the body fat reduction program, and the instructors of the target user.

[0164] Furthermore, the most suitable insurance products may be proposed in combination with Program Delivery System 1. In addition, Program Delivery System 1 may be offered as part of services provided by health guidance institutions, etc., in combination with health consultations, health checkups, health education, health coaching, health programs for smoking and lack of exercise, etc. Also, Program Delivery System 1 may be offered as part of services provided by health checkup institutions, etc., in combination with health checkups, cancer screenings, lifestyle-related disease checkups, prenatal checkups, health checkups conducted by companies for employee health management, etc.

[0165] Although embodiments of the present invention have been described above, the present invention is not limited to the embodiments described above, and various modifications can be made without departing from the spirit of the invention. Furthermore, preferred examples of the program provision program and program provision method are the same as those described above regarding the program provision system.

[0166] Furthermore, the present invention may be applied to a system composed of multiple devices or to a single device. Moreover, the present invention is also applicable when an information processing program that realizes the functions of the embodiment is supplied to a system or device and executed by a built-in processor. Therefore, the technical scope of the present invention includes programs installed on a computer to realize the functions of the present invention on a computer, the medium on which the program is stored, the WWW (World Wide Web) server that allows the program to be downloaded, and the processor that executes the program. In particular, at least a non-transitory computer-readable medium containing a program that causes a computer to execute the processing steps included in the above-described embodiment is included in the technical scope of the present invention. [Explanation of Symbols]

[0167] 1…Program delivery system 10…Program creation device 11...User Request Information Acquisition Unit 12…Programming Department 20... Program execution device 30…Eating habits classification generator

Claims

1. A program creation device for creating a body fat reduction program to reduce body fat, A user preference information acquisition unit acquires user preference information, which includes at least one of the following: the intervention intensity desired by the user, the target value for body fat reduction, and the period for achieving the target for body fat reduction. A program creation unit selects a dietary guidance method, which is a method of guiding the user's diet according to the user's desired information and dietary habit classification, selects a feedback dietary guidance method, which is a method of guiding the user's diet based on the user's desired information and recorded information, and creates a body fat reduction program that includes the selected dietary guidance method and the selected feedback dietary guidance method. It is equipped with, The aforementioned dietary habit classification is a classification of the user's dietary habits according to the cause of body fat accumulation. The recorded information is information about the user's eating habits. Program creation device.

2. The program creation unit further selects a dietary habit classification method, which is a method for determining the dietary habit classification according to the user's desired information, and creates a body fat reduction program that includes the selected dietary guidance method, the selected feedback dietary guidance method, and the selected dietary habit classification method. The program creation device according to claim 1.

3. The program creation unit further selects a dietary record method, which is a method for recording the recorded information according to the user's desired information, and creates a body fat reduction program that includes the selected dietary guidance method, the selected feedback dietary guidance method, and the selected dietary record method. The program creation device according to claim 1.

4. The program creation unit further selects a dietary habit classification method, which is a method for determining the dietary habit classification according to the user's desired information, and a dietary lifestyle recording method, which is a method for recording the recorded information according to the user's desired information, and creates a body fat reduction program that includes the selected dietary lifestyle guidance method, the selected feedback dietary lifestyle guidance method, the selected dietary habit classification method, and the selected dietary lifestyle recording method. The program creation device according to claim 1.

5. The program creation unit includes means for presenting the user with recording items for recording the recorded information, and selecting the dietary guidance method by selecting the recording items to present to the user. The program creation device according to claim 1.

6. The program creation unit selects the feedback dietary guidance method by selecting the entity that will provide the advice to the user. The program creation device according to claim 1.

7. The program creation unit selects the dietary habit classification method by selecting the items to present to the user for the purpose of classifying dietary habits and whether or not the user can specify the dietary habit classification. The program creation device according to claim 2.

8. The program creation unit selects the dietary record method by selecting means for recording the record information and the record items to be recorded by the user. The program creation device according to claim 3.

9. A program for creating a body fat reduction program to reduce body fat, and an information processing device, A step of obtaining user preference information, which is at least one of the following: the desired intervention intensity, the target value for body fat reduction, and the timeframe for achieving the body fat reduction target. The steps include: selecting a dietary guidance method, which is a method of guiding the user's diet according to the user's desired information and dietary habit classification; selecting a feedback dietary guidance method, which is a method of guiding the user's diet based on the user's desired information and recorded information; and creating a body fat reduction program that includes the selected dietary guidance method and the selected feedback dietary guidance method. Make it run, The aforementioned dietary habit classification is a classification of the user's dietary habits according to the cause of body fat accumulation. The recorded information is information about the user's eating habits. Program creation program.

10. A method for creating a program to reduce body fat, wherein the program creation device is: The system obtains user preference information, which includes at least one of the following: the desired intervention intensity, target body fat reduction value and timeframe for achieving the target body fat reduction, personality, or the time and frequency that can be dedicated to the instructor's guidance, instruction skills, and instruction experience. A dietary guidance method is selected based on the user's desired information and dietary habit classification, a feedback dietary guidance method is selected based on the user's desired information and recorded information, and a body fat reduction program is created that includes the selected dietary guidance method and the selected feedback dietary guidance method. The aforementioned dietary habit classification is a classification of the user's dietary habits according to the cause of body fat accumulation. The recorded information is information about the user's eating habits. How to create a program.

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