JP7270818B2 - Information output system, information output program and information output method regarding care for skin condition, physical condition or mental condition - Google Patents

Description

TECHNICAL FIELD The present invention relates to an information output system, an information output program, and an information output method regarding care for skin conditions, physical conditions, or mental conditions.

Various tools are known in the prior art for the care of skin, body or mind conditions.

For example, Patent Literature 1 describes a skin condition explanation part for explaining typical patterns of skin condition as a counseling tool used for users by cosmetics salespersons, etc. describes a counseling tool provided with an explanation display part of a skin care method necessary for skin care.

The skin condition explanation part has a subheading of "a condition that tends to be dehydrated" as a typical pattern of skin conditions, and a subheading of the skin condition in question, "The barrier function that protects the skin from external stimuli is also likely to decrease, … is considered.”

The description display portion of the skin care method includes the headings "Somewhat insufficient W moisturizing" and "Insufficient W moisturizing + lotion mask/cream" as skin care methods for the relevant skin condition. Here, "W moisturizing" and "lotion mask/cream" respectively indicate types of skin care methods or products used for skin care.

For example, when judging that the customer's skin condition is slightly lacking in moisture, the cosmetics salesperson recommends that the customer perform "double moisturizing" displayed in the explanation display part of the skin care method. By comparing the condition with the counseling tool, it is possible to immediately present the user with measures according to the skin pattern.

Japanese Patent No. 4299080

For example, even if a plurality of users take the same measure, the tendency of change in skin condition and the like may change according to the constitution of the user.

However, the technique of Patent Document 1 is merely a counseling tool for giving uniform advice according to the user's skin condition, and proposes measures in consideration of individual circumstances of each user, such as individual user's constitution. It wasn't. Therefore, there is a risk that ineffective measures will continue to be proposed depending on individual circumstances of the user.

Therefore, an object of the present invention is to provide an information output system, an information output program, and an information output method regarding care for skin condition, physical condition, or mental condition, which can propose measures in consideration of individual circumstances of the user. .

The information output system of the present invention is
an output unit that outputs information;
a user data recognition unit that recognizes specified state data indicating specified states of a user's skin state, body state, and mental state, and user action data indicating user actions;
a designated state determination unit that determines whether the designated state of the user in a designated period has improved or deteriorated based on the designated state data;
an output control unit configured to output to the output unit information recommending suspension or interruption of the user's behavior included in the user behavior data when the designation state determination unit determines that the user's designated state has deteriorated; An information output system comprising
The specified condition determination unit determines that the specified condition of the user has deteriorated if at least one of the physical condition and the mental condition is adversely affected even when the skin condition is positively affected. It is characterized by being constituted so that it may determine.

According to the information output system having this configuration, the user data recognition unit recognizes the specified state data indicating the specified state, which is the user's skin state, body state, and mental state, and the user action data indicating the user's action. .

Based on the specified state data, the specified state determining unit determines whether the user's specified state has improved or deteriorated during the specified period.

Further, when the designated state determination unit determines that the designated state of the user has deteriorated, the output control unit outputs information recommending suspension or suspension of the user's behavior included in the user behavior data to the output unit. output to Accordingly, it is possible to prompt the user to stop or suspend the behavior that is presumed to be the cause of the worsening of the designated state.

This makes it possible to propose measures in view of individual circumstances of the user.
For example, taking a certain action may have a positive effect on the skin, but may have a bad effect on either the body or the mind. In such a case, it is desirable to determine that the user's condition has been adversely affected.
According to the present invention, the specified state determination unit determines that the specified state of the user deteriorates when at least one of the physical state and the mental state is adversely affected even when the skin condition is positively affected. Therefore, it is possible to appropriately recommend stopping or interrupting the behavior that caused the worsening of the specified condition.

The information output system of the present invention is
an output unit that outputs information;
a user data recognition unit that recognizes specified state data indicating a specified state, which is at least one state of a user's skin state, body state, or mental state, and user behavior data indicating a user's behavior;
a designated state determination unit that determines whether the designated state of the user in a designated period has improved or deteriorated based on the designated state data;
an output control unit configured to output to the output unit information recommending suspension or interruption of the user's behavior included in the user behavior data when the designation state determination unit determines that the user's designated state has deteriorated; An information output system comprising
a measure information transmission unit that determines an action recommended to the user to take in order to improve the designated state of the user;
The user data recognition unit recognizes, from the user behavior data, the implementation status of non-policy behaviors, which are behaviors other than behaviors recommended for execution by the user,
When the designated state determination unit determines that the non-policy action has an adverse effect on the designated state of the user, the output control unit sends information recommending suspension or suspension of the non-policy action to the output unit. It is characterized by outputting.

The user takes actions other than those recommended by the information output system. If such behavior other than the recommended behavior has a negative impact on the user's specified state, it is desired to recommend its cancellation or suspension.
According to the present invention, an action to be recommended to the user to be performed is determined by the measure information transmission unit in order to improve the specified state of the user, and the user data recognition unit recommends the user to perform the action based on the user action data. The implementation status of non-policy actions, which are actions other than actions, is recognized.
When the specified state determination unit determines that the non-policy action has a bad influence on the user's specified state, the output control unit outputs information recommending the suspension or suspension of the non-policy action to the output unit. .
Accordingly, even if the action that adversely affects the user's specified state is an action other than the action recommended by the information output system, it is possible to recommend the cancellation or interruption of the action.

Explanatory drawing of the utilization form of a skin support server. FIG. 2 is a configuration diagram of a skin support server and user terminals; Explanatory drawing of a series of skin support processing by a skin support server. The first flowchart of processing in the skin support server. A second flowchart of processing in the skin support server. 4 is a first flowchart of processing in a user terminal; The second flowchart of processing in the user terminal. Explanatory drawing of the analysis processing of the initial data of the skin, the mind, and the body based on the subjective data and the objective data. Explanatory drawing of digitization of a body state. Explanatory drawing of digitization of the state of mind. FIG. 11A is a diagram showing the relationship between each measure and its improvement trend, etc., FIG. 11B is a diagram showing the schedule of each process, and FIG. illustration. Explanatory diagram of a progress table based on daily monitoring during the period of image display. Explanatory drawing of the influence on the skin condition by a special case. FIG. 10 is an explanatory diagram of a display screen of a skin condition improvement degree on a user terminal; 15A is an explanatory diagram of an evaluation method of measures, FIG. 15A shows evaluation criteria of measures, and FIG. 15B shows an example of evaluation of measures. It is explanatory drawing of the evaluation method of a living and a special case, FIG. 16A shows the evaluation criteria of a living and a special case, and FIG. 16B shows the evaluation example of a living and a special case. Explanatory drawing of the determination method of a goal achievement level. Explanatory drawing of secondary data. An example of a flowchart of replacement or maintenance determination processing. The figure which shows an example of the home screen displayed on a display. FIG. 10 is a diagram showing a table that associates action types, average score variation amounts, action loads, action categories, food and drink types, and action types; An example of a flow chart of an alternative action recommendation process. Another example of the flowchart of the alternative action recommendation process. The figure which shows the table which linked|related the main substance and the classification of food and drink. Another example of the flowchart of the alternative action recommendation process. The figure which shows the table which linked|related the classification of food and drink, a main substance, and content. Another example of the flowchart of the alternative action recommendation process. The figure which shows the table which linked|related the classification of food-drinks, a maker, a brand name, and the amount of salt. An example of a flow chart of recommendation processing for maintaining the same or similar behavior. Another example of a flowchart of a replacement or maintenance determination process. Another example of a flowchart of a replacement or maintenance determination process. The figure which shows the table which linked|related the category of action, the degree of approach or the degree of separation, and priority.

An example of an embodiment of the present invention will be described with reference to FIGS. 1 to 18. FIG.

[A. Usage form of skin support server]
The configuration of the skin support server 10 and its positioning with respect to the system constituting the present invention will be described with reference to FIG. The skin support server 10 is configured by a computer system including a CPU, memory, various interface circuits, and the like. The skin support server 10 executes an image display program held in a memory by a CPU to improve or maintain the skin condition of a plurality of users U (Ua, Ub, and Uc are exemplified in FIG. 1). A function to execute processing (image display processing) is realized.

The skin support server 10 performs data communication with communication terminals (user terminals) 30 (30a, 30b, and 30c are illustrated in FIG. 1) of a plurality of users U via a communication network 1 such as the Internet. , to support the improvement or maintenance of the user U's skin condition. A system configured by the skin support server 10 and the user terminal 30 corresponds to an example of the "information output system" of the present invention.

Communication terminals 50 (50a and 50b are exemplified in FIG. 1) of persons in charge T (Ta and Tb are exemplified in FIG. 1) are also connected to the communication network 1. FIG. The person in charge T sends data including information such as appropriate skin care methods considering the characteristics of the user U's skin, hobbies and tastes, lifestyle, etc. to the skin support server 10 and the user terminal 30 via the communication terminal 50. By transmitting the information, advice on improvement of the user U's skin condition is given. The communication terminal 50 of the person in charge T and the user terminal 30 of the user U do not necessarily have to be one-to-one. It is only necessary to provide the user terminal 30 of the user U with advice on improving U's skin condition. For example, a method of providing advice to one or a plurality of user terminals 30 of a user U by a plurality of persons in charge T via respective communication terminals 50 may be used.

Furthermore, the skin support server 10 has a function of analyzing unique data of each user transmitted from the user terminals 30 of a plurality of users U and generating secondary data that can be used for general purposes. Services that provide data to other systems 60 via the communications network 1 may also be provided.

[B. Configuration of skin support server and user terminal]
The configurations of the skin support server 10 and the user terminal 30 will be described with reference to FIG. The skin support server 10 functions as a skin condition recognition unit 11, a measure group selection unit 12, a measure information transmission unit 13, and a secondary data generation unit 19 by executing the information output program held in the memory by the CPU. . Processing by these configurations will be described later. The skin support server 10 also includes a support DB (database) 20 that holds various data used for user U's image display processing. This support DB 20 is developed, for example, on a RAM, and can be rewritten by updating subjective and objective data, which will be described later.

Next, the user terminal 30 of this embodiment includes a display 31, a touch panel 32, a camera 33, a microphone 34, a CPU 35, a memory 36, and the like. The display 31 corresponds to the "output section" of the present invention. The touch panel 32 corresponds to the "input section" of the present invention. Instead of or in addition to this, by recognizing the designation of the user based on the image of the user U captured by the camera 33 or the voice of the user U input from the microphone 34, the camera 33 or the microphone 34 can be used as the " It may function as an "input unit".

It should be noted that the fact that one device "recognizes" information means that one device receives the information from another device, and that one device recognizes information stored in a storage medium connected to the one device. reading, obtaining information by a device based on a signal output from a sensor connected to the device, or obtaining information received by a device or information stored in a storage medium or from a sensor Derivation of the information by executing predetermined arithmetic processing (calculation processing, search processing, etc.) based on the information obtained, one device passing the information as a result of arithmetic processing by another device to the other device It means that any arithmetic processing for obtaining the information is performed, such as receiving from, or reading the information from an internal storage device or an external storage device according to the received signal.

In the present embodiment, the user terminal 30 is, for example, a smart phone, and is equipped with a camera 33, a microphone 34, and the like. Alternatively, a specialized imaging device may be used. The CPU 35 executes a program of an image display application 35a (hereinafter referred to as a skin support application 35a) held in the memory 36 so that the user U can receive support from the skin support server 10 via the skin support application 35a. make it possible. The CPU 35 executing the skin support application 35a executes the "user data recognition section", "designated state determination section", "output control section", "preference recognition section", "goal recognition section", "action recognition section", and "priority recognition section" of the present invention. Equivalent to

In addition, the user U separately has a keratin collecting tape 37 (37a, 37b, and 37c are illustrated in FIG. 1) for obtaining skin cells. The keratin collecting tape 37 may be provided to the user U in advance by the person in charge T, or the user U may purchase a commercially available keratin collecting tape 37 .

In the following description, for convenience of explanation, the user who is the target of the support process for improving or maintaining the skin condition is referred to as user Ua, and users different from "user Ua" are referred to as "other users Ub and Uc". .

[C. Series of processing by skin support server]
Next, a series of processes by the skin support server will be described with reference to FIG. The skin support server 10 performs "1. goal setting", "2. schedule determination", "3. monitoring", "4. schedule correction", and [5. goal determination] and “6. Secondary data generation” are executed according to the flowcharts shown in FIGS. Further, the user terminal 30 executes the processing according to the flowcharts shown in FIGS. 6 and 7 according to the processing by the skin support server 10 in each step. The processing of the skin support server 10 and the CPU 35 of the user terminal 30 in each step will be described below with reference to the flowcharts shown in FIGS.

In STEP 50 of FIG. 6, the user Ua downloads the program of the skin support application 35a to the user terminal 30 and activates the skin support application 35a. Then, the user Ua applies for registration with the skin support application 35a.

When the skin support server 10 receives the registration application from the user Ua in STEP10 of FIG. Then, image display processing after STEP 11 is started.

[D. Goal setting process]
Goal setting” shown in FIG. 3 is executed by the skin condition recognition unit 11 and the measure group selection unit 12 . In STEP 11 of FIG. 4, the measure group selection unit 12 prompts the user terminal 30 to input information for grasping the current skin, body, and mental conditions of the user Ua and the skin condition desired by the user Ua. Send data.

In the user terminal 30 that has received this initial information request data, the skin support application 35a, in STEP 51 of FIG. is displayed on the display 31 to prompt the input of . In response, the user terminal 30 transmits initial user information data including the information input by the user Ua to the skin support server 10 .

The skin condition recognition unit 11 receives the initial user information data in STEP 11 of FIG. Based on this, a target score (goal) for the skin condition is set.

Here, the initial user information data includes subjective data and objective data regarding skin condition, body condition, and mental condition. Although detailed definitions will be described later, subjective data is an item determined subjectively by the user, and objective data is data based on inspection results, image analysis, and factual information. The subjective data of the skin condition is data indicating the satisfaction level of the user Ua with respect to the current skin condition, for example, in 10 stages. The objective data of the skin condition is skin image data of the user Ua. In addition to the objective skin condition data included in the initial user information data, the objective skin condition data may include analysis data of the stratum corneum cells of the user Ua collected by the horny material collecting tape 37 . Specifically, the analytical data of stratum corneum cells are, for example, data relating to water retention capacity and sebum suitability. In this case, the stratum corneum cells are analyzed by, for example, a measuring device 45 connected to the user terminal 30, or the image data of the stratum corneum sampling tape 37 is transmitted from the user terminal 30 to the skin support server 10, and the skin is analyzed. The image of the keratin collecting tape 37 may be analyzed on the support server 10 side to measure the water retention capacity, the suitability for sebum, and the like.

The degree of satisfaction of the user Ua is acquired by inputting a questionnaire in the skin support application 35a. The skin image data is image data obtained by the user Ua capturing an image of the user Ua's face using the camera 33 of the user terminal 30 or an external camera connected to the connection terminal 40 .

In addition, the skin support application 35a displays the usage of the keratin collecting tape 37 on the display 31 to the user Ua, and prompts the user Ua to use the keratin collecting tape 37 and mail it separately. The skin support application 35 a may prompt the user Ua to use the keratin collecting tape 37 and take a skin image, and the taken image may be transmitted to the skin support server 10 .

As shown in FIG. 8, the skin condition recognition unit 11 sets the initial value of the skin condition to a subjective score of 3, a skin image score of 3, a water retention ability score of 2, and a sebum suitability score of 1. , and the total value is used as the skin condition score. The score may be represented by a decimal number instead of a positive integer, or may be represented by a negative number.

Recognition of the water retention capacity score and sebum suitability score by analysis of stratum corneum cells is called the first recognition method. Alternatively or additionally, the first recognition method is at least one of a method of measuring the moisture content of the user's skin with a stratum corneum moisture meter and a method of measuring the sebum content of the user's skin with a sebum meter. including. Further, in order to periodically recognize the user's skin by the first recognition method, the skin condition recognition unit 11 may periodically send a message to the user terminal 30 prompting the user to use the keratin collecting tape 37 or the like. prompts the user to take action. In this case, "regularly" does not have to be strictly at regular time intervals, and may be at regular intervals as long as the skin condition is not affected. For example, when the first recognition method is performed every three months, if the first recognition method is performed on January 1st, not only April 1st, which is exactly three months later, but also March, for example, one week before The message may be sent to the user terminal 30 around the 24th, or may be sent to the user terminal 30 around April 8, one week later, for example. In addition, when providing a long-term service, for example, if you want to check detailed improvements, set the first recognition method every month, and check the effect of seasonal changes on the skin condition every three months. The timing of recognition can be changed, such as by setting the first recognition method.

Recognition of the subjective score based on the subjective data of the skin condition entered in the questionnaire and recognition of the skin image score based on the skin image data of the user Ua are each referred to as a second recognition method. The second recognition method may recognize the skin condition of the user Ua by either recognizing a subjective score based on the subjective data of the skin condition entered in the questionnaire or recognizing the skin image score based on the skin image data of the user Ua. , may include methods different from these. Also, the second recognition method is performed more frequently than the first recognition method. This is because the use and mailing of the keratin collecting tape 37 is time-consuming, complicated, and expensive. In addition, frequent use of the keratin collecting tape 37 may adversely affect the skin of the user Ua.

For example, the first recognition method is performed every three months, and the second recognition method is performed every day. Further, when the timing of performing the first recognition method and the timing of performing the second recognition method overlap, it is preferable that they are performed at the same timing, so that accurate data can be obtained. However, even if the second recognition method is not performed when the first recognition method is performed, the present invention can be implemented and the effect can be obtained.

Note that the subjective score may be a score recognized based on subjective data.

The subjective data and objective data of body condition are separated as shown in FIG. Although detailed definitions will be described later, subjective data is an item determined subjectively by the user Ua, and objective data is data based on test results, image analysis, and factual information, similar to the subjective data and objective data of the skin. The subjective data on the body condition is obtained by the user Ua inputting a questionnaire through the skin support application 35a. The objective data includes image data of the tongue and lips of the user Ua captured by the user Ua using the camera 33 of the user terminal 30, and data of the user Ua measured by the measuring device 45 connected to the connection terminal 40 of the user terminal 30. They are measurement data such as blood pressure, arrhythmia, urinary components, blood components, etc., and data such as the number of headaches, stiff shoulders, and other poor physical conditions obtained by inputting questionnaires in the skin support application 35a, fatigue level determination, and the like. In preparation for future development of services other than skin care, information on the occurrence of various diseases may be included in the initial user information data.

The subjective and objective data of the state of mind are separated as shown in FIG. Although detailed definitions will be described later, subjective data is an item determined subjectively by the user Ua, and objective data is data based on test results, image analysis, and factual information, similar to the subjective data and objective data of the skin. The subjective data is acquired by inputting a questionnaire in the skin support application 35a. The objective data is obtained by inputting questionnaires (the frequency of laughter per day, etc.) in the skin support application 35a, and by measuring with a measurement device (estimation of psychological state from pulse monitoring, etc.). In preparation for future development of services other than skin care, the initial user information data may include information on the occurrence of various mental disorders.

The skin condition recognition unit 11 stores the recognized subjective data and objective data of the skin, body, and mental conditions of the user Ua in the support DB 20 .

Based on the subjective data and objective data of the user Ua's skin condition, body condition, and mental condition recognized from the initial user information data in this way, the skin condition recognition unit 11 recognizes as indicated by the triangles on the right side of FIG. , the initial values of the three axes are set, which are represented by scores of 1 to 9 for skin conditions, 1 to 6 for body conditions, and 1 to 6 for mental conditions. Similar to the skin condition score, the subjective score and objective score of the physical condition or mental condition are calculated from the subjective data and objective data of the physical condition or mental condition, and based on these, the physical condition score and the mental condition score are calculated. may be treated as

Further, the measure group selection unit 12 acquires the "desired skin score", "category, desire and frequency of measures" and "current measures" included in the initial user information data. The "desired skin score", "category, desire and frequency of measures" and "current measures" are input by the user Ua through the skin support application 35a.

Here, in the "desired skin score", "desired skin" means improvement of dryness, improvement of stiffness, improvement of sensitive skin, improvement of acne, improvement of wrinkles, improvement of spots, improvement of wrinkles, improvement of sagging, improvement of dullness, improvement of dark circles, It is a skin condition improvement target selected from complexion improvement and firmness improvement. The “score” is the degree of satisfaction of the user Ua with respect to the skin condition of each target, and is the score selected by the user on a scale of 1 to 10 in the skin support application.

The support DB 20 stores the improvement tendency of the subjective state and the improvement tendency of the objective state of the skin condition associated with each improvement target. For example, as shown in FIG. 11C , “improvement of dryness” includes subjective skin condition “improvement of dryness” and objective criterion of skin condition “minimize difference between water retention capacity and sebum suitability”. ” is associated with.

For example, when the “desired skin” is “improved dryness” and the satisfaction score for the dryness of the current skin condition is 3, it is associated with “improved dryness” according to the selection of the user Ua. A satisfaction level of 5 with respect to the subjective skin condition “improved dryness” of the user Ua is set as a subjective target score.

In addition, the measure group selection unit 12 sets an objective skin condition improvement target associated with "improvement of dryness". For example, the measure group selection unit 12 determines that the user Ua's skin condition is lower than the water retention ability based on the criterion "minimize the difference between the water retention ability and the sebum suitability" associated with the "improvement of dryness". A sebum suitability value of 2 is set as an objective target score.

In addition, regarding the category of policy, preference, and frequency, categories include dietary habits, activities at home, exercise, and how to use cosmetics. , "the number of times advice is received per day" or the like is selected as the frequency.

The “measure currently being taken” is a measure that the user Ua has already taken, and is represented by the content and frequency or degree of “soaking in the bathtub” or the like.

[E. Schedule decision process]
The process of “2. Determination of schedule” shown in FIG. The measure group selection unit 12 selects a measure group for achieving the goal (subjective target score and objective target score) in STEP 12 of FIG. This selection is made in consideration of the improvement tendency of the subjective skin condition, the improvement tendency of the objective skin condition, and the suitable surrounding environment, which are associated with each improvement target described above. The measure group selection unit 12 determines the temperature, humidity, etc. of the surrounding environment of the user Ua during the schedule period based on the location information detected by the GPS sensor or the like registered in advance and the date and time acquired from the clock function of the terminal. to predict.

For example, the policy group selection unit 12 selects the desired category as "activity at home, eating habits, exercise", the season when the humidity is expected to be 50% on average, such as the rainy season, and the subjective goal. If the score is 5 or more in satisfaction for "dryness" and the objective target score is 2 or more in sebum suitability, the subjective condition improvement tendency includes "dryness improvement", and the objective condition improvement tendency is "sebum eligible Select measures that include "enhancement of sexuality" and that the category is any of "home activities, eating habits, and exercise", and that the suitable surrounding environment does not contradict 50% humidity.

Here, the improvement tendency of the subjective state and the improvement tendency of the objective state may be determined in advance by an expert such as the person in charge T, or may be implemented by other users Ub and Uc stored in the support DB 20. It may be an improvement tendency of the subjective state and an improvement tendency of the objective state estimated based on the time-series change of the skin condition of the other users Ub and Uc, or the implemented measure and the skin condition of the user Ua. is stored in the support DB 20, it may be the improvement tendency of the subjective state and the improvement tendency of the objective state estimated based on the information.

For example, the support DB 20 stores measures implemented by each of the other users Ub and Uc, chronological changes in the subjective data of the skin condition of each of the other users Ub and Uc before and after implementation of the measures, and other data. One or both of chronological changes in objective skin condition data for each of users Ub and Uc are stored.

In addition, for example, the support DB 20 stores information on the measure "soaking in the bathtub" implemented by each of the other users Ub and Uc, and subjective skin conditions of each of the other users Ub and Uc before and after implementing the measure. It is assumed that "satisfaction with dry feeling" is stored as a time-series change.

At this time, for each of the other users Ub and Uc, the measure group selection unit 12 selects, for example, the subjective data of the skin condition (dry feeling) on the day before the bath and on the day of the bath for the measure “soak in the bathtub”. Calculate the amount of change in the degree of satisfaction for Then, the measure group selection unit 12 obtains the average value of the amount of change in the degree of satisfaction with regard to dryness for each of the other users Ub and Uc. For example, when the average value of the amount of change in "satisfaction with dryness" is equal to or greater than a predetermined value, the measure group selection unit 12 sets the improvement tendency of the subjective state of the measure "soak in the bathtub" to "improved dryness". Recognize. The improvement tendency of the objective state can also be recognized in the same way as the improvement tendency of the subjective state.

Based on the age and skin condition of the user Ua, the measure group selection unit 12 may narrow down the range of other users Ub and Uc to be processed, such as the same age and the same skin condition.

Further, when the implemented measures and the chronological changes in the skin condition of the user Ua are stored in the support DB, the measure group selection unit 12 estimates based on the information calculated in the same manner as described above. The improvement tendency of the subjective state and the improvement tendency of the objective state may be recognized.

In the first schedule determination process for user Ua, the measure group selection unit 12 recognizes the improvement tendency of the subjective condition and the improvement tendency of the objective condition from the subjective data and objective data of the skin conditions of the other users Ub and Uc. However, in the user Ua's second schedule determination process, the improvement tendency of the subjective condition and the improvement tendency of the objective condition may be recognized from the subjective data and the objective data of the skin condition of the user Ua.

The measure group selection unit 12 recognizes not only the skin condition but also the subjective state improvement tendency and the objective state improvement tendency for the mental state and the physical state. Measures may be selected in consideration of the improvement tendency of the objective state.

The measure group selection unit 12 may exclude measures having the same content and the same frequency or degree as the “current measures” from the measure group. This is because it is considered unnecessary to propose measures that the user has already taken.

In the example of FIG. 11A, the measure group selection unit 12 selects a measure group that is a combination of a plurality of measures so as to include "soak in the bathtub", "vitamin C intake", "vegetable intake", and "walk 10,000 steps or more". .

The policy information transmission unit 13 evaluates the priority of the policy among the policy group according to the user Ua's "policy category, desire, and frequency", and determines the initial policy according to the priority. FIG. 12 shows an example of a schedule in which "soak in a bathtub," "eat vegetables," and "walk 10,000 steps or more" are selected as initial measures. The policy information transmission unit 13 transmits schedule data indicating the details of the schedule thus determined to the user terminal 30 .

The policy information transmission unit 13 also creates a plan for implementing each process for a certain period based on the designation of the user Ua. In FIG. 11B, goals are set and a schedule is determined at the start, daily monitoring is performed, schedules are revised weekly, a progress graph is created after one month, and goals are determined and new goals are set in the third month. A series of events of setting up are planned. In addition to or in place of the user Ua's specification, the policy information transmitting unit 13 may use a predetermined plan for performing each process for a certain period of time.

When the user terminal 30 receives the schedule data from the skin support server 10 in STEP 52 of FIG. 6, the skin support application 35a displays a schedule execution table as shown in FIG. The plan is made displayable to prompt the user Ua to implement each measure. In the execution table of the schedule in FIG. 12, the contents of each measure (“Soak in a hot tub”, “Eat vegetables”, “Walk 10,000 steps or more”) are displayed.

[F. Monitoring process]
The step of "3. Monitoring" shown in FIG. 3 is executed by the skin condition recognition unit 11 and the measure information transmission unit 13 for each period set by the user Ua on the skin support application 35a (every day in FIG. 11B). . The user Ua, who has started using the skin support application 35a, uses the user terminal 30 to check the daily skin, body, and mental conditions, the implementation status of the measures specified by the schedule, and the measures other than the measures specified by the schedule. The implementation status of Ua's voluntary action (action outside the policy) is entered. The implementation status of the measures includes information indicating whether or not each of the measures, "soak in the bathtub,""eatvegetables," and "walk more than 10,000 steps," has been implemented, as well as "30 minutes,""soak in the bathtub,""300 g and "eating vegetables", "15,000 steps", and "walking".

In STEP53 of FIG. 6, the skin support application 35a advances the process to STEP60 when the state of the skin, body, and mind is input by the user Ua. Current user information data including subjective data and objective data regarding the state of mind is transmitted to the skin support server 10, and the process proceeds to STEP54. It should be noted that the skin support application 35a directly advances the processing to STEP54 when the user Ua does not input the state of the skin, body, and mind in STEP53 of FIG. The data transmitted here does not include the data on the stratum corneum cells collected by the keratin collecting tape 37 .

Further, in STEP 54 of FIG. 6, the skin support application 35a advances the process to STEP 61 when the schedule execution status (execution status of each measure) is input by the user Ua, and outputs execution status data indicating the schedule execution status. The data is transmitted to the skin support server 10, and the process proceeds to STEP55 in FIG. When the user Ua does not input the execution status of the schedule (execution status of each measure) in STEP54 of FIG. 6, the skin support application 35a directly proceeds to STEP55.

Furthermore, in STEP55 of FIG. 7, the skin support application 35a advances the process to STEP62 when the user Ua inputs the implementation status of the non-policy action, and performs non-policy action execution data indicating the details of the non-policy action that has been performed. is transmitted to the skin support server 10, and the process proceeds to STEP56. It should be noted that the skin support application 35a advances the processing to STEP56 as it is when the user Ua does not input the implementation status of the action outside the policy in STEP55 of FIG.

STEP 13 in FIG. 4 to STEP 16 in FIG. 5 and STEP 20 to STEP 22 in FIG. When the skin condition recognition unit 11 receives the current user information data from the user terminal 30 in STEP 13, the process proceeds to STEP 20, accumulates the current user information data in the support DB 20, and proceeds to STEP 14. When the skin condition recognition unit 11 does not receive the current user information data from the user terminal 30 in STEP 13, the process proceeds to STEP 14 as it is.

Also, when the policy information transmitting unit 13 receives the execution status data from the user terminal 30 in STEP 14 , it advances the process to STEP 21 , accumulates the execution status data in the support DB 20 , and advances the process to STEP 15 . On the other hand, if it is determined in STEP14 that the execution status data has not been received from the user terminal 30, the process proceeds directly to STEP15.

Furthermore, when the policy information transmission unit 13 receives the non-policy action execution data from the user terminal 30 in STEP 15, it advances the process to STEP 22, accumulates the non-policy action execution data in the support DB 20, and proceeds to STEP 16 in FIG. proceed. On the other hand, when the policy information transmitting unit 13 does not receive the non-policy action execution data from the user terminal 30 in STEP15, the process proceeds to STEP16 in FIG. 5 as it is.

5, in STEP 16, the policy information transmission unit 13, based on the user Ua's initial user information data, current user information data, execution status data, non-policy action execution data, etc., accumulated in the support DB 20, Progress table data indicating the progress of the schedule is created, and this progress table data is transmitted to the user terminal 30 .

Here, for example, as shown in FIG. 12, the progress table of the schedule includes, from top to bottom, a skin condition (here, dry skin) score, a physical condition score, a mental condition score, measures (soaking in a bathtub, vegetables, etc.). Intake, walking 10,000 steps or more), living information (vegetable intake, water intake), and living special cases are displayed on a daily basis.

The schedule progress table also includes the degree of implementation of measures (“30 minutes” soaking in a hot tub, “300g” eating vegetables, “15,000 steps” walking).

In the user terminal 30, the skin support application 35a advances the process to STEP 63 when receiving the progress table data transmitted from the skin support server 10 in STEP 56 of FIG. The skin support application 35 a uses the progress table data stored in the memory 36 to display the progress table shown in FIG. 12 on the display 31 of the user terminal 30 .

In addition to the progress table data, the skin support application 35a also includes the initial user information data, the current user information data, the execution status data, Information indicating transitions and changes in each state of the user Ua's skin, body, and mind is displayed on the display 31 of the user terminal 30 using the non-policy action execution data and the like.

For example, as shown in FIG. 13, the skin support application 35a can be used to determine the behavior of the user Ua other than the measures according to the schedule (change of face washing method, receiving a massage, etc.), and the physical condition of the user (physiology, lack of sleep, etc.). , the relationship of changes in the skin condition of the user Ua is displayed on the display 31 as a daily time-series graph.

In addition, as shown in FIG. 14, the skin support application 35a monitors, on a month-by-month basis, the user Ua's skin condition including keratin condition, psychological condition, skin care satisfaction, and cosmetic usage evaluation values. A radar chart for comparison is displayed on the display 31 .

The user Ua visually recognizes these displays by the skin support application 35a and confirms changes in the conditions of his/her own skin, body, and mind, thereby grasping the degree of improvement in the skin as well as changes in the conditions of the body and mind. Therefore, the target skin condition goal can be achieved while improving the condition of the skin, body, and mind in a well-balanced manner.

[G. schedule modification]
The process of "4. schedule modification" shown in FIG. 3 is executed by the measure information transmitting unit 13 for each period set by the user Ua on the skin support application 35a (every week in FIG. 11B). STEP 17 to STEP 20 and STEP 30 to STEP 33 in FIG.

Further, the skin support application 35a advances to STEP64 in the step of "4. schedule correction" and executes the replacement or maintenance determination process shown in FIG. The details of the replacement or maintenance determination process will be described later.

In STEP 17, the policy information transmission unit 13 incorporates the user Ua's skin condition target achievement level and schedule into the user Ua's initial user information data, current user information data, execution status data, and the like accumulated in the support DB 20. Evaluate the degree of implementation of each measure and the effect of each measure.

The policy information transmission unit 13 extracts the correlation between the skin condition and the physical or mental condition using the policy evaluation criteria shown in FIG. continuation of the policy, exclusion from the policy group, cancellation of the policy, and change to another policy.

In the evaluation criteria of FIG. 15A, four items are used as judgment items: presence or absence of implementation, effect on skin, effect on body, and effect on mind. If there is, and there is no adverse effect on the body and mind, it will be evaluated as A and will be judged to be continued. Note that, in FIG. 15A, a measure whose implementation rate exceeds a predetermined implementation rate is indicated as "implemented", and a measure whose implementation rate is equal to or lower than the predetermined implementation rate is indicated as "non-implemented". The same applies to FIGS. 12 and 15B.

When the timing of the impact of the policy and the duration of the impact are determined for each policy, the policy information transmission unit 13 calculates the impact of each policy based on the timing of the impact of the policy and the duration of the impact of the policy. You can judge.

For example, if it is determined that the effect of the measure "soaking in the bathtub" on the skin, the body, and the mind will affect the next day and will continue for only one day, the measure information transmission unit 13 will: For example, it is determined that the effect of the measure "soak in the bathtub" on December 15th is reflected in each state on December 16th.

In addition, if the effect of the measure "vegetable intake" on the skin, the body, and the mind is set to occur after one week and continue for only three days, the measure information transmission unit 13 For example, it is determined that the influence of the measure "vegetable intake" on December 15th is reflected in each state from December 22nd to December 24th.

On the other hand, a measure that has a good effect on the skin but has a bad effect on either the body or the mind is given a B rating and is judged to be canceled or changed to another measure. In addition, since it is considered that a measure whose implementation rate is equal to or less than a predetermined implementation rate imposes a heavy burden on the user Ua, it is evaluated as C and canceled or another measure (for example, a measure that reduces the load on the user Ua or another measure is implemented). measures).

The measure information transmission unit 13 may evaluate whether each measure has a good or bad effect on the skin, body, and mind by implementing each measure for only one day, or for a certain period of time such as several days or weeks. Implementation of each measure may be evaluated to determine whether it has a positive or negative effect on the skin, body, or mind. When the evaluation is performed for a certain period of time, the measure information transmission unit 13, for example, gives a B rating when any state is adversely affected at a given rate, a C rating when the implementation rate is below a given rate, and otherwise. In the case of , it is good as A evaluation. Instead of this, the policy information transmitting unit 13 may, for example, give a B evaluation when the average value of satisfaction in any state during a certain period of time is below a predetermined value. In addition, if the satisfaction level of any state in one day is below a predetermined level, and the average value of the satisfaction level of any state over a certain period of time is below a predetermined level, it will be evaluated as C, and any of the evaluations for the day If the level of satisfaction in any state falls below a predetermined level, or if the average value of satisfaction levels in any one state over a certain period of time falls below a predetermined level, it will be evaluated as B, and the level of satisfaction in any state in a day will be a predetermined level. value, and the average value of satisfaction in any state in a certain period of time exceeds a predetermined value, such as A evaluation, such as a one-day evaluation and a certain period of time evaluation may be used in combination. .

In addition, when the degree of improvement of the skin condition score shown in FIG. It may be excluded from the policy group. When the degree of improvement in the score of the physical condition or the mental state is equal to or less than a predetermined degree of improvement, the measure information transmitting unit 13 selects the measures in which the degree of improvement in the score of the physical state or the mental state is equal to or less than the predetermined degree of improvement in the measure group. can be excluded from

FIG. 15B shows an example in which the evaluation criteria shown in FIG. 15A are applied to measures (soaking in a bathtub, eating vegetables, walking 10,000 steps or more) in this embodiment. According to FIG. 15B, the measure information transmission unit 13 gives an A rating for “soak in the bathtub” and determines to continue with the next schedule, and gives a B rating for “vegetable intake” and excludes it from the measure group. Decide to cancel the schedule or change to another measure, and give a C grade for "walking more than 10,000 steps", exclude from the measure group, cancel the next schedule or change to another measure. have decided.

The policy information transmission unit 13 determines the influence of a plurality of policies for each combination of the policies. For example, if the combination of "soaking in a hot tub" and "eating vegetables" is rated B or C, the measure information transmitting unit 13 determines whether only the single measures of "soaking in a hot tub" or "eating vegetables" are considered. , or may be changed to combine any of these measures with other measures.

The measure information transmission unit 13 performs such evaluation processing to determine whether schedule correction (mainly by changing the measure group to another measure) is necessary or not. to correct the schedule. Then, the user terminal 30 transmits schedule correction data, which is data of the corrected schedule, and the process proceeds to STEP19. On the other hand, when it is determined that the schedule need not be revised, the measure information transmitting section 13 advances the process from STEP 18 in FIG. 5 to STEP 19 in FIG. 5, and in this case the schedule is not revised.

Next, in STEP 19, the policy information transmission unit 13, based on the initial user information data, the current user information data, the data on the execution of the action outside the policy, etc., each non-policy action performed by the user Ua (included in the schedule In addition to measures, actions performed by users) are evaluated.

The policy information transmitting unit 13 uses the evaluation criteria for the behavior outside the policy shown in FIG. 16A to determine whether the behavior outside the policy is recommended or not. In the evaluation criteria of FIG. 16A, influences on each state of skin, body, and mind are used as judgment items.

If "there is a positive effect on the skin, body, or mind, and there is no negative effect on any of them," the evaluation is D, and implementation is recommended. On the other hand, if it "has a negative effect on the skin, body or mind," an E rating is given and a ban is proposed. In addition, if "there is no effect on the skin, body, or mind," the evaluation is F, and implementation is not recommended.

FIG. 16B shows an example in which the evaluation criteria shown in FIG. 16A are applied to behaviors outside the policy (receiving a massage, ingesting a large amount of chocolate) in this embodiment. According to FIG. 16B, the measure information transmitting unit 13 determines that “get a massage” is evaluated as D and is recommended to be implemented in the next schedule. In addition, regarding "a large amount of chocolate intake", it is evaluated as E, and it is decided to propose a measure to stop it in the next schedule (for example, an alternative to ingesting Japanese sweets).

When the measure information transmitting unit 13 decides to recommend or prohibit the execution of the measures incorporated in the schedule, or to propose to cancel or change the measures outside the measures, the process advances from STEP 20 to STEP 31 . Then, when the recommendation is determined, the process proceeds from STEP31 to STEP33, the non-policy action recommendation data recommending the execution of the non-policy action is transmitted to the user terminal 30, and the process proceeds to STEP13 in FIG.

On the other hand, when the policy information transmitting unit 13 decides to propose the prohibition, the process advances from STEP 31 to STEP 32, and transmits to the user terminal 30 non-policy action prohibition data proposing prohibition of the non-policy action. The process proceeds to STEP13.

If there is no non-policy action to be recommended or prohibited, the policy information transmitting unit 13 advances the process from STEP 20 to STEP 13 in FIG. If the non-policy action proposed to be prohibited includes an alternative action, non-policy action prohibition data proposing a change to the alternative action may be transmitted to the user terminal 30 instead of the prohibition proposal.

In the user terminal 30, when the schedule correction data is received from the skin support server 10 in STEP57 of FIG. 7, the skin support application 35a proceeds to STEP65 and corrects the schedule based on the schedule correction data. The skin support application 35a then updates the schedule data held in the memory 36 and advances the process to STEP58.

Further, when the skin support application 35a receives the non-policy action recommendation data or the non-policy action prohibition data from the skin support server 10 in STEP 58 of FIG. is displayed on the display device 31 of the user terminal 30 to inform the user of the recommendation or prohibition proposal. Note that this notification may be performed by displaying a notification message on the progress table shown in FIG. 12, for example. In addition, the recommended non-policy behavior may be used as a new policy to modify the schedule.

[H. Goal Judgment Process]
The process of "5. Goal determination" shown in FIG. It is executed by the selection unit 12 and the policy information transmission unit 13 .

The skin support application 35a displays on the display 31 of the user terminal 30 a message prompting the user to use the keratin collecting tape 37 and to send the keratin collecting tape 37 by mail.

The skin condition recognition unit 11 recognizes objective values of the skin condition (water retention capacity, sebum suitability, etc.) based on the information obtained from the mailed keratin collecting tape 37 .

In addition, the skin support application 35a displays on the display 31 of the user terminal 30 a message prompting the user to answer the questionnaire and use imaging of the skin, etc., and transmits the obtained information.

The skin condition recognition unit 11 recognizes the subjective value of skin dryness (subjective score) and the objective value of skin condition (skin image score) based on the information obtained from the skin support application 35a.

The measure group selection unit 12 and the measure information transmission unit 13 compare the evaluation values at the start of skin condition support and after 3 months based on the subjective value of skin dryness and the objective value of skin condition, Determine goal achievement.

In the example of FIG. 17, the subjective score of dryness increased from 3 to 5 in 3 months, so it was determined to be achieved (○). , the water retention capacity was maintained at 2, and the sebum suitability increased from 1 to 2, so it was determined to be achieved (○). Since both the subjective value and the objective value have achieved the goal, it is determined that the goal has been achieved as a whole.

In order to set a new goal when the goal is achieved, the skin condition recognition unit 11 and the measure group selection unit 12 repeat the process of "1. Goal setting" shown in FIG. The skin condition recognizing unit 11 and the measure group selecting unit 12 may perform the step of "2. Determine schedule" when the goal is not achieved, or perform the step of "1. Goal setting" according to the user's desire or progress. The process may be performed again.

[I. Secondary data generation]
The step of “6. Secondary data generation” shown in FIG. 3 is executed by the secondary data generator 19 . The secondary data generation unit 19 generates various data transmitted from a plurality of users U, such as initial user information data, stratum corneum analysis data, current user information data, execution status data, non-measure action execution data (hereinafter referred to as user-specific data). data) are sequentially stored in the support DB 20 for each user.

Then, the secondary data generation unit 19 analyzes the individual user data accumulated in the support DB 20, and, for example, as shown in FIG. ), support improvement targets (dryness, stiffness, sensitivity, acne, wrinkled feeling, etc.), measures proposed by the schedule (soaking in a bathtub, eating vegetables, walking more than 10,000 steps, etc.), and skin by implementing measures, Secondary data is generated that associates changes in each state of the body and mind.

18, the secondary data generation unit 19 also generates secondary data that associates each user's characteristics with the effects of each user's skin, body, and mental state due to the implementation of the non-policy action, as in FIG. Generate.

The secondary data generated in this manner is effectively used when selecting effective measures for improving the skin condition while having a positive effect on the body and mind of users with similar characteristics. be able to. For example, in the process of "2. schedule determination" in FIG. 3 described above, the measure group selection unit 12 can refer to the secondary data and select a measure suitable for the characteristics of the user Ua.

In addition, in the process of "4. Schedule correction" in FIG. can be referred to and the schedule can be changed to include more effective measures or actions outside the measures.

In addition, the secondary data can be effectively used to support skin conditions, and can be used for marketing purposes targeting users with certain characteristics (for example, outdoor-oriented women in their 30s living in Tokyo). can also be used. As such, the secondary data may be provided to other systems such as 60 shown in FIG.

[J. Alternative or maintenance determination process]
An example of the replacement or maintenance determination process will be described with reference to FIGS. 19 to 21. FIG.

At least one of the skin condition, body condition, and mental condition to be improved is hereinafter referred to as a specified condition. In this embodiment, it is assumed that the skin condition is the specified condition.

In STEP 101 of FIG. 19 , the user data recognition unit recognizes the data of the user Ua during the specified period accumulated in the support DB 20 of the skin support server 10 .

The specified period is preferably one day when the specified condition is the skin condition, for example, from the day before execution of the application to the current day. Alternatively, for example, the designated period may be one week, one month, etc., depending on the type of policy.

As described above, the data of the user Ua is the data input in STEP53 of FIG. 6 to STEP55 of FIG. 6 and transmitted to the skin support server 10 in STEP60 of FIG. 6 to STEP62 of FIG. The data of the user Ua includes at least initial user information data, current user information data, and user action data (execution status data and non-policy action execution data) indicating user actions.

Note that a policy is an action that is registered in the skin support server 10 based on the user's intention as an action that the user wishes to perform, and a non-policy action is an action that the user has performed, but is registered in the skin support server 10 It is an unregistered activity.

Supplementally, in STEP 53 and STEP 54 of FIG. 6 and STEP 55 of FIG. 7, a screen as shown in FIG. The obtained values are recognized as the state of the skin, the body, the mind, the execution state of the schedule, and the execution state of the action outside the policy, respectively.

The home screen shown in FIG. 20 includes a screen link P000 at the bottom of the screen, a date display P010 at the top right of the screen, a skin condition input display P020 at the top of the screen, a first action input display P030, and a body condition input display at the middle of the screen. P041, a state of mind input display P042, a second action input display P050 at the bottom of the screen, a third action input display P060, and a registration button P070 are included.

The screen links P000 include a home button P001 linked to the home screen, a list display button P002 linked to a screen displaying a list of user data, and a graph display button P003 linked to a screen displaying a graph of user data. , and a setting button P004 linked to a setting screen for setting policies.

The date display P010 is a display of the date of the input user information. In principle, the date display P010 is a display of the date when the skin support application 35a was executed. When the operation of is performed, the target date may be displayed.

The skin condition input display P020 is a portion of the screen for inputting the user's skin condition. In the present embodiment, the skin condition input display P020 is composed of a slide bar P021 and icons P022 and P023, and enables input of subjective values regarding the user's skin condition using a VAS (Visual Analog Scale).

The icon P023 is displayed in a lighter shade than the icon P022. For example, the icon P022 may be dark green and the icon P023 may be gray. The icon P023 indicates the subjective value of the skin condition of the user Ua at the date and time to be compared (for example, if the input is in the evening, the previously input skin condition of the user Ua in the morning or the skin condition of the user Ua the day before). . In this way, by displaying the previously input subjective value of the skin condition in an identifiable manner, it is possible to input the subjective value of the skin condition in the form of comparison with the subjective value of the skin condition at the date and time to be compared. become able to.

In addition, in the present embodiment, the subjective value of dryness of the user Ua's skin is input as the subjective value of the skin condition of the user Ua. Instead of this, for example, a plurality of VAS may be used to input skin conditions of a plurality of items. Also, skin condition items to be input may be selected based on the goals of the user Ua. Also, the skin condition item to be input may be selected based on the information input by the user Ua.

The first action input display P030, the second action input display P050, and the third action input display P060 are displays for accepting input of daily actions of the user Ua.

The first action input display P030 is a display for accepting input of the degree of action execution (sleep time in the case of sleep). The first action input display P030 is configured by VAS in this embodiment, and includes a slide bar P031, an icon P032, and a numerical display P033 of the degree of execution. When the touch panel 32 detects that the user Ua has touched the slide bar P031 with his/her finger, the skin support application 35a causes the icon P032 to be displayed at a position on the screen corresponding to the position of the user Ua's finger. The numerical display P033 is changed to indicate the degree of execution (integer or decimal) corresponding to the finger position of the user Ua.

The second action input display P050 is a display for accepting an input as to whether or not each action is performed. When the touch panel 32 detects a pressing operation by the user Ua on any position of the second action input display P050, the skin support application 35a changes the position of each of the icons P051 to P053 corresponding to the pressed position. Change and change the color of the icon. Here, the left side is unimplemented, and the right side is implemented. FIG. 20 shows that the user Ua "eats and drinks excessively" but does not "walk 1 km or longer" or "take a bath for 20 minutes or longer".

The actions of the first action input display P030 and the second action input display P050 may be measures that the user Ua desires to execute, or may be actions specified in advance by the developer of the skin support application 35a. Alternatively, it may be an action related to the goal of the user Ua. In the following, it is assumed that "walking 1 km or more" and "bathing for 20 minutes or more" are measures.

The third action input display P060 is a display for accepting information that can be freely input in text according to events that the user Ua has done on that day. The third action input display P060 includes a special action input display P061 for receiving an input of a special action, and a special food input display P062 for receiving an input of special food and drink, particularly regarding food and drink, among actions. .

The body condition input display P041 is a display for receiving an input of the user's body condition such as feeling of fatigue and hardness of stool. The body condition input display P041 is composed of a pull-down menu for selecting words indicating a degree of fatigue such as "none", "slightly", "slightly strong", and "strong" in the case of fatigue.

The state of mind input display P042 is a display for receiving an input of the user's state of mind such as mood. The state of mind input display P042 is composed of a pull-down menu for selecting words indicating a graded feeling (state of mind) such as, for example, "comfortable", "somewhat comfortable", "slightly hard", and "hard".

When the skin support application 35a detects that the registration button P070 has been pressed via the touch panel 32, it transmits the input data to the skin support server 10 in STEP60 to STEP62 in FIG. The data input to the skin condition input display P020, the body condition input display P041, and the mental condition input display P042 are data indicating the condition of the skin, body, and mind. Further, among the data input to the first action input display P030 and the second action input display P050, the data regarding the action of the measure is the data indicating the execution status of the schedule. Of the data input to the first action input display P030 and the second action input display P050, the data related to the action not related to the policy and the data input to the third action input display P060 indicate the implementation status of the action outside the policy. data shown.

Returning to the explanation of STEP 101 in FIG. Receive data and current user information data.

In STEP 102 of FIG. 19, the action recognition unit recognizes actions of the user Ua during a specified period.

More specifically, the behavior recognition unit recognizes each of the behaviors of the user Ua (one or both of the behavior included in the policy and the behavior outside the policy) during the specified period based on the data in STEP 101 of FIG. 19 .

For example, from the information input in FIG. 20, the action recognition unit recognizes the user's actions "eating and drinking heavily" and "singing" during a specified period (June 14, 2017). Further, the action recognition unit recognizes the action "eat cracker" from the special food "xx cracker" by referring to a table (not shown).

In STEP103 of FIG. 19, the designated state determination unit recognizes the score of the designated state of the user Ua during the designated period based on the data of STEP101 of FIG.

For example, the designated state determination unit recognizes the dryness score from the information input in FIG. When the physical state or mental state is the designated state, the designated state determination unit may score the information on fatigue or mood input in FIG. 20 to recognize the score of the designated state.

Thereafter, the processing of STEP104 to STEP109 in FIG. 19 is executed for each action of the user Ua during the specified period. An action to be processed is called a "target action".

In STEP104 of FIG. 19, the specified state determination unit determines whether or not the score of the specified state of the user Ua during the specified period is less than the first score.

The first score is a threshold for indicating whether or not the user's designated state has deteriorated. For example, the first score may be the average value of the scores of the specified state of the user Ua during the period before the specified period, or may be the score of the specified state of the user Ua immediately before the specified period. Alternatively, it may be the score of the designated state of the user Ua at the end of the designated period predicted from the time-series transition of the score of the designated state of the user Ua, or a value obtained by subtracting a predetermined value from these values. may be

If the determination result is affirmative (YES in STEP 104 of FIG. 19), in STEP 105 of FIG. It is determined whether or not the above is satisfied. Note that STEP 105 of FIG. 19 may be omitted and the processing of STEP 106 of FIG. 19 may be executed.

The load of the target action means a numerical value indicating the magnitude of the burden on the user Ua for taking the target action. For example, monetary load indicating the amount of money to take the target action, time load indicating the length of time to take the target action, psychological load indicating the size of psychological resistance to taking the target action, and target Each action difficulty level indicating the action difficulty level is scored, and the load of the target action can be represented by the total value or the like.

The load of the target action may be determined based on user Ua's past actions and data derived from user Ua, such as a questionnaire, or other users having the same attributes (age, gender, region, etc.) as user Ua. It may be determined based on the past actions of Ub and Uc and data derived from users Ub and Uc such as questionnaires, or may be a value determined in advance by the developer of the skin support application.

The load threshold may be a value determined in advance by the developer of the skin support application or the like, may be a value set by the user, or may be a value that the user perceives as a load based on the tendency of the user's past behavior. It may be a value estimated as

The load of the target action is represented by a set of multiple numbers, such as monetary load, time load, psychological load, and numerical value indicating the difficulty of the action. may In this case, the output control unit may determine that the determination result in STEP 105 of FIG. In the case above, the determination result of STEP 105 in FIG. 19 may be determined to be affirmative.

The output control unit may, for example, communicate with the skin support server 10 to recognize the table in FIG. 21 and search the table in FIG. 21 to recognize the load of the target action. For example, the binge eating load is 8, the singing load is 3, and the cracker eating load is 2.

The output control unit may recognize the load threshold by communicating with the skin support server 10, for example.

If the determination result is affirmative (YES in STEP 105 in FIG. 19), the user's designated state is deteriorating and the load on the user is high, so in STEP 106 in FIG. recommended action. The details of the alternative action recommendation process will be described later.

If the determination result in STEP 104 in FIG. 19 is negative (NO in STEP 104 in FIG. 19), the user's designated state has not deteriorated, so in STEP 107 in FIG. It is determined whether or not the score of the specified state of Ua is equal to or higher than the second score.

The second score is a threshold for indicating whether or not the user's designated state has improved, and is a value equal to or higher than the first score. For example, the second score may be the average value of the scores of the specified state of the user Ua during the period before the specified period, or may be the score of the specified state of the user Ua immediately before the specified period. Alternatively, it may be the score of the specified state of the user Ua at the end of the specified period predicted from the time-series transition of the score of the specified state of the user Ua, or a value obtained by adding a predetermined value to these values. may be

If the determination result in STEP 105 in FIG. 19 is negative or if the determination result in STEP 107 in FIG. However, if the load on the user is not high, or if the user's designated state is neither deteriorating nor improving, it is preferable to leave the selection of measures to the user. Therefore, in this case, in STEP 108 of FIG. 19, the output control unit outputs to the display 31 a policy selection screen for selecting a policy. In STEP 108 of FIG. 19, the output control unit does not output to the display device 31 either the information prompting the continuation of the measure or the information prompting the termination of the measure.

If the determination result in STEP 107 in FIG. 19 is affirmative (YES in STEP 107 in FIG. 19), the user designation state has improved, so in STEP 109 in FIG. Perform maintenance recommended actions. The details of the recommendation process for maintaining the same or similar behavior will be described later.

After the processing of STEP 106, STEP 108, or STEP 109 of FIG. 19, in STEP 110 of FIG. 19, the skin support application 35a checks whether or not the processing of STEP 104 to STEP 109 of FIG. judge.

If the determination result is negative (NO in STEP 110 of FIG. 19), the skin support application 35a has unprocessed actions, and therefore executes the processing of STEP 104 of FIG. 19 for the unprocessed actions.

If the determination result is affirmative (YES in STEP 110 of FIG. 19), skin support application 35a terminates the replacement or maintenance determination process because there are no unprocessed actions remaining.

[K. Recommended processing of alternative actions]
With reference to FIG. 22, an example of a detailed flow of the alternative action recommendation process in STEP 106 of FIG. 19 will be described.

In STEP201 of FIG. 22, the output control unit determines whether or not the target action is a daily life action. The term "activities of daily living" means basic behaviors such as eating, dressing, moving, excreting, grooming, and bathing that are essential for living. For example, the output control unit refers to the table shown in FIG. 21 to determine whether or not the action type of the target action is a daily life action.

If the determination result is negative (NO in STEP201 of FIG. 22), the target action is not a daily life activity, so in STEP202 of FIG. 22, the preference recognition unit recognizes user Ua's preference.

For example, the preference recognition unit recognizes the user Ua's preferences regarding the action category by recognizing the preference data regarding the action category previously registered by the user Ua via communication with the skin support server 10 . In this specification, the term "category of behavior" means a basic classification of behavior such as "eating", "dressing", "moving", "excretion", "dressing", and "bathing". Also, in this specification, the term "type of action" is a classification of action such as "eating vegetables", "running", etc., and means a more detailed classification than the "category of action".

In addition, the preference recognition unit recognizes behavior data of the user Ua through communication with the skin support server 10, and based on the tendency of the user's behavior shown in the data, determines the preferences of the user Ua regarding the category of behavior. may be recognized. In this case, for example, when the execution rate of actions in a certain category of the user Ua is equal to or higher than a predetermined threshold, the output control unit may recognize the category as a category of actions that the user Ua prefers. Further, for example, when the execution rate of an action in a certain category of the user Ua is higher than the average execution rate of other actions of the user, the output control unit recognizes that category as a category of actions that the user Ua prefers. good too.

In STEP203 of FIG. 22, the output control unit determines whether or not the category of the target action matches the preference of the user Ua. For example, the output control unit can recognize the category of the target action by referring to the table in FIG. The output control unit may recognize the determination result of STEP203 of FIG. 22 as positive when the category of the target behavior and the category of behavior that the user prefers recognized in STEP202 of FIG. 22 are the same.

If the determination result of STEP 201 in FIG. 22 is affirmative or if the determination result of STEP 203 in FIG. Or, even if the target action is not a daily life activity, the category of the target action matches the preference of the user Ua. Therefore, in STEP 204 of FIG. 22, the output control unit outputs to the display device 31 information prompting a different action in the same category as the target action. For example, if the target behavior is eating crackers, the output control unit outputs the information "Would you like to eat chocolate instead of eating crackers?" ” or the like is output to the display device 31 .

If the determination result in STEP 203 in FIG. 22 is negative (NO in STEP 203 in FIG. 22), the target action is not a daily life activity and the category of the target action does not match user Ua's preference. In STEP 205 , the output control unit outputs to the display device 31 information prompting an action of a category different from the category of the target action. For example, when the target behavior is eating crackers, the output control unit outputs information prompting the behavior "walking 1 km" of the type "walking", which is different from the behavior category "snacking" for eating crackers, "walking 1 km instead of eating crackers". Would you like to perform

In STEP 204 of FIG. 22 or STEP 205 of FIG. 22, the output control unit may select alternative actions in descending order of action load, or may select alternative actions in order of increasing average score variation. , through communication with the skin support server 10, an action that the user has never performed or an action that the user does not usually perform is recognized, and the action that the user has never performed or an action that is not normally performed is used as an alternative action. You may choose.

Note that the amount of change in the average score is the average value of the amount of change in the score of the specified state after each action is taken for a predetermined period. For example, the amount of change in the average score may be the average value of the amount of change in the score of the specified state of the user Ua, or the average value of the amount of change in the score of the specified state of the other users Ub and Uc. good. Also, the amount of change in the average score may be input by the developer of the skin support application or the like.

After STEP 204 in FIG. 22 or STEP 205 in FIG. 22, the alternative action recommendation process ends.

[L. Recommended processing of alternative actions]
Another example of the detailed flow of the alternative action recommendation process in STEP 106 of FIG. 19 will be described with reference to FIGS. 23 and 24. FIG. This process is a process of recommending eating and drinking as an alternative action when the target action is eating and drinking. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP301 of FIG. 23, the output control unit recognizes the first substance, which is the main substance taken in the first action as the target action.

A "major substance" may be a substance that occupies a predetermined proportion or more (e.g., 20% or more) of the total amount of substances ingested in a behavior, such as weight or volume. The amount of the substance to be ingested may be a predetermined ratio or more (for example, 50% or more) of the amount recommended to be ingested for a certain period of time according to a predetermined standard such as food intake standards.

The output control unit may, for example, refer to the table shown in FIG. 24 received from the skin support server 10 to recognize the main substances to be ingested in the first action. For example, the output control unit recognizes the food "cracker" taken in the first action "take cracker" from the table shown in FIG. 21, and recognizes the main substance "salt content" from the table shown in FIG. may The food and drink means one food or drink or a combination thereof, and the substance means a substance contained in the food and drink (food and drink or drink).

In addition to or instead of referring to the table shown in FIG. 24, the output control unit may recognize the main substances of the food "cracker" from the ingredient table of the food "cracker" according to a predetermined rule. good.

In STEP302 of FIG. 23, the output control unit recognizes a second action in which the main substance to be ingested is a second substance different from the first substance.

For example, the output control unit refers to the table shown in FIG. 24 to recognize a second substance "fat" different from the first substance "salt", and to By recognizing "chocolate" and referring to the table shown in FIG. 21, the second action "chocolate intake" of ingesting food and drink "chocolate" is recognized.

Instead of the table of FIG. 24, each action and each substance may be associated with each other.

The output control unit may further refer to FIG. 21 and recognize an action in the same category as the category of the first action as the second action. Further, the output control unit may further select the second actions in descending order of the action load, or may select the second actions in descending order of the variation of the average score. Even if the user recognizes an action that has never been done before or an action that is not usually performed through communication with the good.

In STEP 303 of FIG. 23, the output control unit outputs to the display device 31 information recommending the second action as an alternative action to the first action. In this case, the output control unit also outputs information to the display device 31 to the effect that the first action includes the first substance and the second action includes the second substance different from the first substance. is preferred.

After STEP 303 in FIG. 23, the alternative action recommendation process ends.

[M. Recommended processing of alternative actions]
Another example of the detailed flow of the alternative action recommendation process in STEP 106 of FIG. 19 will be described with reference to FIGS. 25 and 26. FIG. This process is a process of recommending eating and drinking as an alternative action when the target action is eating and drinking. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP401 of FIG. 25, the output control unit recognizes the third substance, which is the main substance taken in the third action as the target action. This process is similar to the process of STEP301 in FIG.

In STEP402 of FIG. 25, the output control unit recognizes the fourth action in which the main substance to be ingested is the same as the third substance and the amount of intake of the third substance is smaller than that of the third action. For example, when the third action is "chocolate intake", the food and drink ingested in the third action is "chocolate", and the third substance is "fat", the output control unit changes the table shown in FIG. Reference recognizes "biscuits" or "corn snacks" that are less consumed than "chocolate".

The output control unit may further refer to FIG. 21 and recognize an action in the same category as the category of the third action as the fourth action. Further, the output control unit may further select the fourth action in order of decreasing action load, or may select the fourth action in order of increasing average score variation. Even if the user recognizes an action that has never been done or an action that is not usually performed through communication with the good.

In STEP403 of FIG. 25, the output control unit outputs to the display device 31 information recommending the fourth action as an alternative action to the third action.

After STEP 403 in FIG. 25, the alternative action recommendation process ends.

[N. Recommended processing of alternative actions]
Another example of the detailed flow of the alternative action recommendation process in STEP 106 of FIG. 19 will be described with reference to FIGS. 27 and 28. FIG. This process is a process of recommending eating and drinking as an alternative action when the target action is eating and drinking. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP501 of FIG. 27, the output control unit recognizes the first food and drink taken in the fifth action as the target action. For example, the output control unit recognizes the special food "XX crackers" input on the screen of FIG. 20 as the first food.

In STEP502 of FIG. 27, the output control unit recognizes the type, manufacturer, and product name of the first food and drink.

For example, the output control unit refers to the table shown in FIG. 28 and recognizes the type of XX cracker "Cracker", the manufacturer "Company A", and the product name "XX Cracker".

In STEP503 of FIG. 27, the output control unit recognizes a sixth action of ingesting a second food that is the same as the type of the first food and has a different manufacturer or brand name.

For example, with reference to the table shown in FIG. 28, the output control unit refers to the XX cracker whose type is the same as “Cracker” and is different from either the manufacturer “Company A” or the product name “XX Cracker”. 2 Recognize food and drink. Candidates for the second food and drink are "○○ cracker", "△△ mountain" and "□□ village". The output control unit may recognize a plurality of sixth actions that take each of these, may select the sixth actions in order of decreasing action load, or may select sixth actions in order of decreasing average score variation. A sixth action may be selected, or an action that the user has never performed before or an action that the user usually does not perform may be recognized through communication with the skin support server 10, and the action that the user has never performed before may be recognized. An action or an action that is not normally performed may be selected as the sixth action.

In STEP504 of FIG. 27, the output control unit outputs to the display device 31 information recommending the sixth action as an alternative action to the fifth action. In this case, it is preferable that the output control unit also outputs one or both of the manufacturer and the product name of the second food and drink to the display 31 .

After STEP 504 in FIG. 27, the alternative action recommendation process ends.

[O. Recommended treatment for maintaining the same or similar behavior]
With reference to FIG. 29, an example of a detailed flow of recommendation processing for maintaining the same or similar behavior in STEP 108 of FIG. 19 will be described. This process is a process of recommending eating and drinking as an alternative action when the target action is eating and drinking. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP601 of FIG. 29, the output control unit recognizes the fourth substance, which is the main substance taken in the seventh action as the target action. This process is similar to STEP 301 in FIG.

In STEP601 of FIG. 29, the output control unit recognizes an eighth action in which the main substance to be ingested is the same as the fourth substance and different from the seventh action. For example, when the seventh action is "chocolate intake", the output control unit refers to the table shown in FIG. 24 to refer to the table shown in FIG. Ingestion” etc. are recognized as the eighth action.

The output control unit may recognize a plurality of eighth actions, may select the eighth actions in descending order of action load, or may select the eighth actions in order of increasing average score variation. Alternatively, through communication with the skin support server 10, an action that the user has never performed or an action that the user does not usually perform is recognized, and the action that the user has never performed or an action that is not normally performed is recognized. may be selected as the eighth action.

The output control unit, for example, refers to the table shown in FIG. By referring to the table, the eighth action "Eat potato chips" may be recognized.

In STEP 603 of FIG. 29 , the output control unit outputs information recommending the eighth action to the display device 31 . In this case, the output control unit also sets the food type "potato chips" taken in the eighth action to the same main substance "lipid" as the food type "chocolate" taken in the seventh action. is preferably output to the display 31 to the effect that

In addition to or instead of this, the output control unit may output from the display 31 information recommending maintenance of the same action as the seventh action.

After STEP 603 in FIG. 29, the recommending process for maintaining the same or similar behavior ends.

[P. Alternative or maintenance determination process]
Another example of the detailed flow of the replacement or maintenance determination process will be described with reference to FIG. This process is a process of recommending eating and drinking as an alternative action when the target action is eating and drinking. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP701 of FIG. 30, the user data recognition unit recognizes the data of the user Ua in the designated period in the same way as in STEP101 of FIG.

In STEP702 of FIG. 30, the designation state determination unit recognizes the score of the designation state of the user Ua in the first period and the score of the designation state of the user Ua in the second period based on the data of STEP701 in FIG. . Each of the first period and the second period is included in the designated period. The second period is a period after the first period.

In STEP703 of FIG. 30, the designated state determination unit determines, based on the data of STEP701 of FIG. Recognize 10 actions.

In STEP704 of FIG. 30, the designated state determination unit determines whether or not the score of the designated state of the user Ua in the first period is less than the third score.

The third score, like the first score, is a threshold for indicating whether or not the user's designated state has deteriorated. For example, the third score may be an average value of the scores of the designated state of the user Ua during the period before the second period, or may be the score of the designated state of the user Ua immediately before the second period. may be the score of the specified state of the user Ua at the end of the second period predicted from the time-series transition of the score of the specified state of the user Ua; It may be a subtracted value.

If the determination result is affirmative (YES in STEP704 in FIG. 30), in STEP705 in FIG. 5 substances).

In STEP706 of FIG. 30, the designated state determination unit determines whether or not the score of the designated state of the user Ua during the second period is less than the fourth score.

The fourth score, like the first score and the third score, is a threshold for indicating whether or not the user's designated state has deteriorated. The fourth score may be the same score as the third score, but is more preferably less than the third score. For example, the fourth score may be an average value of the scores of the specified state of the user Ua in a period before the second period (for example, the first period), or may be the average value of the scores of the user Ua just before the second period. or the score of the specified state of the user Ua at the end of the second period predicted from the time-series transition of the score of the specified state of the user Ua, or may be a value obtained by subtracting a predetermined value from the value of .

If the determination result is affirmative (YES in STEP706 of FIG. 30), in STEP707 of FIG. 6 substances).

In STEP708 of FIG. 30, the output control unit determines whether the fifth substance and the sixth substance are the same substance.

If the determination result is affirmative (YES in STEP 708 of FIG. 30), in STEP 709 of FIG. Recognize the 11th behavior which is the 7th substance different from the 6th substance).

In STEP 710 of FIG. 30 , the output control unit outputs information recommending the eleventh action to the display device 31 . In this case, the output control unit also provides information indicating that the same substance (fifth substance) is included as the main substance to be ingested in the ninth and tenth actions, and It is preferable to output to the display 31 information indicating that the main substance is different from the fifth substance.

In addition to or instead of this, the output control unit may output from the display 31 information recommending maintenance of the same action as the seventh action.

After STEP 710 in FIG. 30, the alternative action recommendation process ends.

30, STEP 706 in FIG. 30, or STEP 708 in FIG. 30 is negative, the skin support application 35a terminates the alternative action recommendation process.

[Q. Alternative or maintenance determination process]
Another example of the detailed flow of the replacement or maintenance determination process will be described with reference to FIGS. 31 and 32. FIG.

In STEP801 of FIG. 31, the user data recognition unit recognizes the data of the user Ua in the designated period in the same way as in STEP101 of FIG.

In STEP 802 of FIG. 31 , the target recognition unit recognizes the target score of the specified state of user Ua through communication with the skin support server 10 .

In STEP803 of FIG. 31, the action recognition unit recognizes the degree of approach or the degree of deviation of the score of the specified state of the user Ua from the target score by each of the plurality of actions of the user Ua during the specified period. For example, the action recognition unit recognizes the amount of change in the score of the specified state related to the target score before and after the action as the degree of approach or deviation from the target score. A score of a specified condition related to a target score means a score related to dryness, for example, when the target score is "dryness 5".

More specifically, when the amount of change in the score of the specified state related to the target score before and after the action approaches the target score, the action recognition unit recognizes the amount as the degree of approach. Further, when the amount of change in the score of the specified state related to the target score before and after the action deviates from the target score, the action recognition unit recognizes the amount as the degree of deviation.

Thereby, as shown in FIG. 32, the degree of approach or the degree of separation is recognized for each action in the specified period. In FIG. 32, the degree of approach is indicated by a positive value, and the degree of separation is indicated by a negative value.

In STEP804 of FIG. 31, the priority recognition unit recognizes the priority of each action based on the degree of approach or the degree of separation in STEP803 of FIG. The priority recognizing unit continuously or intermittently raises the priority of the action as the degree of approach of the score of the specified state of the user Ua to the target score of the user Ua increases. The greater the degree of deviation from the user Ua's target score, the more continuously or intermittently recognized.

The output control unit executes the processing from STEP805 in FIG. 31 to STEP809 in FIG. 31 for each action in the specified period.

In STEP805 of FIG. 31, the output control unit determines whether the degree of deviation of the target behavior is less than a predetermined first threshold.

If the determination result is affirmative (YES in STEP805 in FIG. 31), in STEP806 in FIG. 31, the output control unit executes the alternative action recommendation process similar to STEP106 in FIG. Note that the output control unit may select the alternative actions in descending order of priority as described above.

If the determination result is negative (NO in STEP805 of FIG. 31), in STEP807 of FIG. 31, the output control unit determines whether the degree of approach of the target action is equal to or greater than a predetermined second threshold.

If the determination result is affirmative (YES in STEP807 of FIG. 31), in STEP808 of FIG.

If the determination result is negative (NO in STEP 807 in FIG. 31), in STEP 808 in FIG. 31, the output control unit executes the same or similar action maintenance recommendation process as in STEP 109 in FIG.

After the processing of STEP806 in FIG. 31, STEP808 in FIG. 31, or STEP809 in FIG. 31, in STEP810 in FIG. Determine whether or not the process has been executed.

If the determination result is negative (NO in STEP810 of FIG. 31), the output control unit executes the processing of STEP805 of FIG. 31 for the unprocessed action.

If the determination result is negative (YES in STEP810 of FIG. 31), the skin support application 35a terminates this process.

(Modification mode)
In the above example, the CPU 35 executing the skin support application 35a performs the functions of the "user data recognition section", the "designated state determination section", the "output control section", the "preference recognition section", the "goal recognition section", and the "action recognition section" of the present invention. Instead of functioning as a "priority recognition unit", the skin support server 10 loaded with an appropriate program functions as a "user data recognition unit", a "designated state determination unit", a "preference recognition unit", a "goal recognition unit", and a "user data recognition unit". It may function as part or all of the functions of the action recognition unit, the priority recognition unit, and part of the functions of the output control unit. In this case, the CPU 35 that executed the skin support application 35a recognizes the execution result through communication, and the "user data recognition unit", "designated state determination unit", "output control unit", "preference recognition unit", "goal recognition unit", " It can function as the remainder of the action recognition unit and the priority recognition unit.

In the above example, the CPU 35 executing the skin support application 35a receives various necessary data by communicating with the skin support server 10. Alternatively or additionally, the CPU 35 executing the skin support application 35a may refer to the data stored in the storage device of the user terminal 30 and execute the process.

Further, the user terminal 30 may have the function of the skin support server 10, so that the user terminal 30 alone may constitute an information output system.

In the above example, the designated state is explained as the skin state, but in addition to or instead of this, one or both of the physical state and the mental state may be designated as the designated state. Also, for each of the physical state and the mental state, the target score (subjective target score and objective target score) may be recognized by a method suitable for the physical state and the mental state.

1... communication network, 10... skin support server, 11... skin condition recognition unit, 12... measure group selection unit, 13... measure information transmission unit, 19... secondary data generation unit, 20... support DB (database), 30 ( 30a, 30b, 30c)...user terminal (smartphone), 31...display, 32...touch panel, 33...camera, 34...microphone, 35...CPU, 35a...skin support application, 36...memory, 40...connection terminal, 45 …measuring equipment.

Claims (6)

an output unit that outputs information;
a user data recognition unit that recognizes specified state data indicating specified states of a user's skin state, body state, and mental state, and user action data indicating user actions;
a designated state determination unit that determines whether the designated state of the user in a designated period has improved or deteriorated based on the designated state data;
an output control unit configured to output to the output unit information recommending suspension or interruption of the user's behavior included in the user behavior data when the designation state determination unit determines that the user's designated state has deteriorated; An information output system comprising
The specified condition determination unit determines that the specified condition of the user has deteriorated if at least one of the physical condition and the mental condition is adversely affected even when the skin condition is positively affected. An information output system characterized by being configured to determine that. A method performed by a system comprising an output for outputting information, comprising:
a step of recognizing specified condition data indicating specified conditions of a user's skin condition, body condition, and mental condition, and user behavior data indicating user behavior;
a step of determining whether the specified state of the user in a specified period has improved or deteriorated based on the specified state data;
and outputting to the output unit information recommending suspension or interruption of the user's behavior included in the user behavior data when it is determined that the specified state of the user has deteriorated;
The step of determining whether the specified condition of the user has improved or deteriorated during the specified period includes: if at least one of the physical condition or the mental condition is adversely affected, the specified condition of the user has deteriorated; An information output method characterized by a step of determining that In a system equipped with an output unit that outputs information,
a step of recognizing specified condition data indicating specified conditions of a user's skin condition, body condition, and mental condition, and user behavior data indicating user behavior;
a step of determining whether the specified state of the user in a specified period has improved or deteriorated based on the specified state data;
and outputting, to the output unit, information recommending suspension or interruption of the user's behavior included in the user behavior data when it is determined that the specified state of the user has deteriorated. hand,
The step of determining whether the specified condition of the user has improved or deteriorated during the specified period includes: if at least one of the physical condition or the mental condition is adversely affected, the specified condition of the user has deteriorated; An information output program characterized by being a step of determining. an output unit that outputs information;
a user data recognition unit that recognizes specified state data indicating a specified state, which is at least one state of a user's skin state, body state, or mental state, and user behavior data indicating a user's behavior;
a designated state determination unit that determines whether the designated state of the user in a designated period has improved or deteriorated based on the designated state data;
an output control unit configured to output to the output unit information recommending suspension or interruption of the user's behavior included in the user behavior data when the designation state determination unit determines that the user's designated state has deteriorated; An information output system comprising
a measure information transmission unit that determines an action recommended to the user to take in order to improve the designated state of the user;
The user data recognition unit recognizes, from the user behavior data, the implementation status of non-policy behaviors, which are behaviors other than behaviors recommended for execution by the user,
When the designated state determination unit determines that the non-policy action has an adverse effect on the designated state of the user, the output control unit sends information recommending suspension or suspension of the non-policy action to the output unit. An information output system characterized by outputting. A method performed by a system comprising an output for outputting information, comprising:
determining an action to be recommended for the user to take to improve a specified condition, which is at least one condition of the user's skin condition, physical condition or mental condition;
a step of recognizing specified state data indicating the specified state of the user and user behavior data indicating behavior of the user;
a step of recognizing, from the user behavior data, the implementation status of non-policy behaviors, which are behaviors other than behaviors recommended for execution by the user;
a step of determining whether the specified state of the user in a specified period has improved or deteriorated based on the specified state data;
and outputting to the output unit information recommending suspension or interruption of the user's behavior included in the user behavior data when it is determined that the specified state of the user has deteriorated;
In the step of outputting the information to the output unit, when it is determined that the action outside the policy has an adverse effect on the specified state of the user, information recommending the suspension or suspension of the action outside the policy is sent to the output unit. An information output method, comprising the step of outputting. In a system equipped with an output unit that outputs information,
determining an action to be recommended for the user to take to improve a specified condition, which is at least one condition of the user's skin condition, physical condition or mental condition;
a step of recognizing specified state data indicating the specified state of the user and user behavior data indicating behavior of the user;
a step of recognizing, from the user behavior data, the implementation status of non-policy behaviors, which are behaviors other than behaviors recommended for execution by the user;
a step of determining whether the specified state of the user in a specified period has improved or deteriorated based on the specified state data;
and outputting, to the output unit, information recommending suspension or interruption of the user's behavior included in the user behavior data when it is determined that the specified state of the user has deteriorated. hand,
In the step of outputting the information to the output unit, when it is determined that the action outside the policy has an adverse effect on the specified state of the user, information recommending the suspension or suspension of the action outside the policy is sent to the output unit. An information output program characterized by including a step of outputting.

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