JP2022003542A - System for outputting information on skin condition care - Google Patents

Abstract

To provide an information output system capable of appropriately outputting information for helping a user achieve an impression indicated in a request from the user even if the user does not have sufficient knowledge on the physical skin condition.SOLUTION: An information output system is provided, comprising: a request recognition unit configured to recognize a request pertaining to an impression or the mental condition of a user Ua based on information entered via an input unit 32; a measures recognition unit configured to recognize measures for realizing the request pertaining to the impression or the mental condition of the user Ua; and an output control unit for outputting information including the measures to an output unit 31.SELECTED DRAWING: Figure 19

Description

The present invention relates to an information output system, an information output program, and an information output method for skin condition care.

Conventionally, various tools for skin condition care are known.

For example, in Patent Document 1, as a counseling tool used by a cosmetics salesperson or the like for a user, a skin condition explanation unit for explaining the skin condition for a typical pattern of the skin condition and a skin condition thereof are described. A counseling tool with an explanatory display of skin care methods required for the skin care method is described.

In the skin condition explanation section, the subheading "a condition that tends to lack water" as a typical pattern of the skin condition and the "barrier function that protects the skin from external stimuli" about the skin condition are also likely to deteriorate. ……… I can think of it. ” Here, "W moisturizing" and "lotion mask / cream" indicate the type of skin care method or the product used for skin care, respectively.

The explanation display unit of the skin care method includes the headings "Slightly insufficient person W moisturizing" and "Insufficient person W moisturizing + lotion mask cream" as the skin care method in the skin condition.

For example, if the cosmetics salesperson determines that the customer's skin condition is slightly lacking in water, the customer's skin is recommended to perform "W moisturizing" displayed on the explanation display of the skin care method. By matching the condition with the counseling tool, it is possible to immediately present to the user measures according to the skin pattern.

Japanese Patent No. 4299080

In recent years, when the use of mobile terminals such as smartphones has developed, it is conceivable to provide users with information that supports skin condition care via mobile terminals. However, the user does not always have sufficient knowledge about the physical condition of the skin. For users who do not have sufficient knowledge about the physical condition of the skin, support for skin condition care for people who are familiar with the physical condition of the skin to some extent, such as cosmetics sales staff, such as the technology of Patent Document 1. Even with the use of tools, care for skin conditions that are contrary to the user's wishes may be recommended.

Therefore, the present invention appropriately outputs information for supporting the realization of the impression or mental state shown in the user's request even when the user does not have sufficient knowledge about the physical state of the skin. It is an object of the present invention to provide an information output system, an information output program, and an information output method that can be used.

The information output system of the present invention is
An input unit that detects the user's input and
An output section that outputs information and
A request recognition unit that recognizes a request regarding the user's impression or the user's state of mind based on the information input via the input unit, and the request recognition unit.
The measure recognition unit that recognizes the measures to realize the user's impression or the request regarding the user's state of mind, and
It is characterized by including an output control unit that outputs information including measures recognized by the measure recognition unit to the output unit.

According to the information output system having the configuration, the input unit recognizes a request regarding the impression of the user or the state of mind of the user based on the information.

The measure recognition department recognizes the measures to realize the user's request. The output control unit outputs information including the measures recognized by the measure recognition unit to the output unit.

As described above, according to the information output system, even if the user does not have sufficient knowledge about the physical condition of the skin, the impression shown in the user's request or the state of the user's mind can be realized. Information on the measures of is properly output.

In the information output system of the present invention, the information indicating the request regarding the impression of the user is specified by the impression that a person different from the user receives when the user is viewed, or is received by the user when the user sees himself / herself. The information including the designation of the impression or indicating the request regarding the state of mind of the user preferably includes the designation of the user's self-confidence.

It is presumed that the impression or self-confidence received by another person or oneself is relatively easy for the user to understand, and the request for the impression easily reflects the true intention of the user.

According to the information output system of the configuration configured in view of this point, the information indicating the request regarding the impression of the user is the designation of the impression received by a person different from the user when the user is viewed, or the user. A request for an impression received by the user when looking at himself or a request regarding the state of mind of the user includes a specification of self-confidence of the user.

Then, when the request recognition unit recognizes the request regarding the impression or the state of mind of the user, the measure recognition unit recognizes the measures for realizing this request. Then, the information including the measures recognized by the measure recognition unit is output to the output unit.

As a result, measures to realize the impression or self-confidence of the specified user, which is presumed to easily reflect the user's true intention, are output, so if the user does not have sufficient knowledge about the skin condition. However, information on measures to support the improvement of the skin condition so as to realize the impression or the state of mind shown in the user's request is appropriately output.

In the information output system of the present invention, the information indicating the request is preferably information for designating a product or service related to the request of the user's impression or state of mind.

According to the information output system of the configuration, the user's request is recognized based on the information for designating the product or service related to the user's impression or state of mind request.

Information for designating a product or service may be used for various activities related to the product or service, such as providing or advertising the product or service or estimating user preferences associated with the product or service.

In addition to the information used to specify a product or service being used for various activities related to the product or service, measures to realize the user's impression or state of mind request related to the specified product or service. Is provided to the user.

In the information output system of the said configuration
The information including the measures is characterized by including a method of using the product or a method of enjoying the service, and a measure for realizing the request different from the method of using the product or the method of enjoying the service. ..

It is presumed that the user expects to output information about the specified product or service, and according to the information output system of the configuration, how to use the product or how to enjoy the service and the product. The output unit outputs measures for realizing the above-mentioned request, which is different from the method of using the above or the method of enjoying the service. As a result, information on measures for supporting the improvement of the skin condition so as to realize the impression or the state of mind shown in the user's request is appropriately output while meeting the expectations of the user.

In the information output system of the present invention
It is an evaluation by the other user whether the other user's request, which is a request of another user different from the user, another user's measure, which is a measure executed by the other user, and whether the other user's request is realized by the other user's measure. Equipped with another user evaluation recognition unit that recognizes other user evaluations
It is preferable that the measure recognition unit is configured to recognize the measure based on the other user's measure and the other user's evaluation for the other user's request which is the same as the user's request.

According to the information output system of the configuration, the other user's evaluation recognition unit determines the other user's request, which is a request of another user different from the user, the other user's measure, which is the measure executed by the other user, and the other user. It is recognized as another user's evaluation, which is an evaluation by the other user as to whether or not the other user's request is realized by the measure.

In addition, the measure recognition unit recognizes the measure based on the other user's measure for the other user's request that is the same as the user's request and the other user's evaluation. By outputting this measure to the output unit by the output control unit, the user can be made to recognize this measure.

This makes it possible to propose measures to users while taking into consideration the experiences of other users who have the same request.

In the information output system of the present invention
A user information recognition unit that recognizes user information that is at least one of the user life information indicating the user's life, the user attribute information indicating the user's attribute, and the user constitution information indicating the user's constitution.
Other user life information indicating the life of another user different from the user, other user attribute information indicating the attribute of the other user, and other user information indicating at least one of the constitution of the other user. , The other user information recognition unit that recognizes the request of the other user and the measure implemented or implemented by the other user,
By comparing the user information recognized by the user information recognition unit with the other user information recognized by the other user information recognition unit for each other user, the life of the user, the attributes of the user, or the above It is provided with a matching degree recognition unit that recognizes the degree of matching, which is the degree of matching between the user's constitution and the life of the other user, the attribute of the other user, or the constitution of the other user.
The measure recognition unit recognizes the measure based on the other user's measure and the other user's evaluation of the other user who has the same request as the user's request and whose degree of matching is equal to or higher than a predetermined value. It is preferably configured.

According to the information output system having the configuration, the matching degree recognition unit obtains the user information recognized by the user information recognition unit and the other user information recognized by the other user information recognition unit for each other user. By comparing, the degree of matching, which is the degree of matching between the life of the user, the attribute of the user or the constitution of the user, and the life of the other user, the attribute of the other user or the constitution of the other user, is recognized. To.

Then, the measure recognition unit provides the measure based on the other user's measure and the other user's evaluation of the other user who has the same request as the user's request and whose degree of matching is equal to or higher than a predetermined threshold value. Be recognized.

As a result, the measure implemented or implemented by another user who has the same request as the user is provided to the user. This measure is a measure actually implemented or implemented by another user, and the other user has a life, an attribute, or a constitution that is highly consistent with the life of the user, the attribute of the user, or the constitution of the user. There is.

Thereby, a measure for realizing the user's request and having a high probability of being suitable for the user's life, the user's attribute, or the user's constitution is proposed to the user.

In the information output system of the present invention
A user behavior recognition unit that recognizes the user's behavior based on the user's behavior data input via the input unit, and
When the user's impression changes according to the user's behavior or the state of mind of the user changes so as to realize the user's request, the priority of the user's behavior is highly evaluated, and the user's behavior is evaluated. It is provided with an action evaluation unit that evaluates the priority of the user's action low when the change in the impression of the user or the state of mind of the user changes so as to be separated from the realization of the request of the user. ,
It is preferable that the measure recognition unit is configured to recognize an action whose priority is equal to or higher than a predetermined priority threshold value as the measure.

According to the information output system having the configuration, the user behavior recognition unit recognizes the user's behavior based on the user's behavior data input via the input unit.

In addition, the behavior evaluation unit evaluates the priority of the user's behavior.

The priority of the user's behavior is highly evaluated when the user's impression changes according to the user's behavior or the state of the user's mind changes so as to realize the user's request, and the user's behavior is highly evaluated. It is evaluated low when the change in the impression of the user or the state of the mind of the user in response to the behavior changes so as to be far from the realization of the request of the user. In other words, an action having a priority equal to or higher than a predetermined priority threshold is an action that may have changed the impression of the user or the state of mind of the user so as to realize the request of the user in the past. ..

Then, the measure recognition unit recognizes the action whose priority is equal to or higher than the predetermined priority threshold value as the measure.

As a result, the behavior that may have been changed to realize the user's request is recognized as a measure and output to the output unit.

In the information output system of the present invention
A corresponding skin condition recognition unit for recognizing a corresponding item which is an item of the user's skin condition related to the impression of the user or the state of mind of the user shown in the request recognized by the request recognition unit is provided.
It is preferable that the measure recognition unit recognizes the measures for improving the corresponding items.

According to the studies by the present inventors, it has been found that there is a correlation between the skin condition and the impression of the user or the state of mind of the user.

According to the information output system having the same configuration configured based on such knowledge, the request recognition unit recognizes the user's impression or the request regarding the state of mind of the user.

The corresponding skin condition recognition unit recognizes a corresponding item which is an item of the user's skin condition related to the impression of the user or the state of mind of the user shown in the request recognized by the request recognition unit. As mentioned above, since there is a correlation between the skin condition and the user's impression or the user's mental state, the user's skin related to the user's impression or the user's mental state indicated in the request. The status item is recognized. Then, the measure recognition unit recognizes the measures for improving the corresponding items recognized by the corresponding skin condition recognition unit.

Here, many studies have been conducted on measures for improving skin. As described above, the item of the user's skin condition related to the user's impression shown in the request or the user's mental state is recognized, and the measures for improving the item are recognized to improve the skin. The results of research on measures can be utilized.

If the corresponding items are improved, the impression or the state of mind can be changed to the impression or the state of mind shown in the user's request. The output control unit outputs information including the measures recognized by the measure recognition unit to the output unit.

According to the above, according to the information output system, the skin that realizes the impression or the state of mind shown in the user's request even if the user does not have sufficient knowledge about the skin condition. Information on measures to support the improvement of the condition is output appropriately.

In the information output system of the said configuration
The corresponding skin condition recognition unit recognizes the subjective user's skin condition item related to the user's impression or mental condition, and the objective user's skin condition related to the subjective user's skin condition item. Recognize the item
It is preferable that the measure recognition unit is configured to recognize measures for improving objective items of the user's skin condition.

In these information output systems
The corresponding skin condition recognition unit recognizes the objective skin condition item related to the user's impression or mental condition, and recognizes the subjective skin condition item related to the objective skin condition item. ,
It is preferable that the measure recognition unit is configured to recognize measures for improving subjective user skin condition items.

In the information output system of the said configuration
The corresponding skin condition recognition unit recognizes the subjective user's skin condition item and the objective user's skin condition item related to the user's impression or mental condition.
It is preferable that the measure recognition unit is configured to recognize measures for improving both the subjective skin condition item and the objective skin condition item.

In the information output system of the present invention
It is preferable that the request recognition unit is configured to recognize the request according to the attribute of the user input by the input unit.

The user's attributes are considered to be closely related to the user's impression or the desire for the user's state of mind, and according to the information output system of the configuration, according to the user's attributes input by the input unit. , The above request is recognized. As a result, even if the user does not input the request, the request is recognized according to the user's attribute, so that the user's request can be grasped accurately.

The information output system of the present invention is
An output section that outputs information and
The user skin condition recognition unit that recognizes the user's skin condition,
A replacement unit that replaces the user's skin condition recognized by the user skin condition recognition unit with a figure, word, or score indicating the impression of the user or the state of the user's mind.
It is characterized by including an output control unit that outputs a replaced figure, word or score indicating the impression of the user or the state of the user's mind to the output unit.

According to the information output system having the configuration, the skin condition of the user is recognized by the user skin condition recognition unit. Then, the replacement unit replaces the skin condition of the user's skin condition recognized by the user skin condition recognition unit with a figure, a word, or a score indicating the impression of the user or the state of mind of the user. Then, the information output unit outputs a figure, a word, or a score indicating the impression of the user or the state of the user's mind to the output unit. This makes it possible for the user to recognize the user's impression or the user's mental state according to the skin condition of the user's skin condition. Even if the user does not have sufficient knowledge about the skin condition, it is easy for the user to understand if it is a figure, a word or a score that matches the impression of the user or the state of mind of the user.

In the information output system of the said configuration
There are a plurality of types of the user's impression or the user's state of mind.
The skin condition of the user is represented by a plurality of scores.
The replacement unit corresponds to the user's skin condition according to the user's impression type or the user's mental state type based on the user's impression type or the user's mental state and the plurality of scores. It is preferable that it is configured to replace the figure, word or score.

According to the information output system of the configuration, the skin condition of the user is based on the type of impression of the user or the type of mental state of the user and the plurality of scores, and the skin condition of the user is the type of impression of the user or the mind of the user. Is replaced with a figure, word or score corresponding to the type of state. As a result, the impression of the user or the state of mind of the user is replaced with a figure, a word, or a score according to each type.

In the information output system of the said configuration
The replacement unit weights the plurality of scores according to a coefficient according to the type of the user's impression or the type of the user's mental state and calculates an average to obtain the user's skin condition as the user's impression. It is preferable that it is configured to be replaced with a figure, a word or a score corresponding to the type or the type of the state of mind of the user.

According to the information output system of the configuration, the skin condition of the user is determined by calculating the weighted average of the plurality of scores according to the coefficient according to the type of the impression of the user or the type of the state of mind of the user. It is replaced with a figure, word or score corresponding to the type of impression of the user or the type of state of mind of the user. As a result, the figure, word, or score indicating the impression of the user or the state of mind of the user according to each type is replaced.

An explanatory diagram of the usage pattern of the skin support server. Configuration diagram of skin support server and user terminal. An explanatory diagram of a series of skin support processes by the skin support server. The first flowchart of the process in the skin support server. The second flowchart of the process in the skin support server. The first flowchart of the process in a user terminal. The second flowchart of the process in a user terminal. Explanatory drawing of analysis processing of initial data of skin, mind, and body by subjective data and objective data. Explanatory diagram of quantification of body condition. An explanatory diagram for quantifying the state of mind. FIG. 11A is a diagram showing the relationship between each measure and the improvement tendency of the measure, FIG. 11B is a diagram showing the schedule of each process, and FIG. 11C is a diagram showing the relationship between the subjective state and the objective state of the desired skin and skin condition. The figure which shows. An explanatory diagram of the progress table based on daily monitoring during the period when the image is displayed. An explanatory diagram of the effect of a special case on the skin condition. An explanatory diagram of a display screen of the degree of improvement of the skin condition on the user terminal. It is explanatory drawing of the evaluation method of a measure, FIG. 15A shows the evaluation standard of a measure, and FIG. 15B shows the evaluation example of a measure. It is explanatory drawing of the evaluation method of living and a special case, FIG. 16A shows the evaluation criteria of living and a special case, and FIG. 16B shows the evaluation example of a living and a special case. An explanatory diagram of a method for determining the degree of goal achievement. Explanatory diagram of secondary data. An example of the flow chart of the request realization measure recognition process. An example of the flow chart of the request recognition process. The figure which shows the product or service selection screen. FIG. 22A is a table in which a product or service name is associated with an impression or state of mind request, and FIG. 22B is a table in which an impression or self-confidence designation is associated with an impression or state of mind request. An example of the flow chart of the request recognition process. An example of the flow chart of the request recognition process. An example of the flow chart of the measure recognition process. FIG. 26A is a table in which the user ID, the user's attributes, the lifestyle, and the constitution are associated with each other, and FIG. 26B is a table in which the user ID, the user's request, the user's policy, and the evaluation thereof are associated with each other. The figure which shows an example of the measure recommendation screen. An example of the flow chart of the measure recognition process. FIG. 29A is a table in which a request is associated with a corresponding objective item and a target state, FIG. 29B is a table in which a corresponding objective item is associated with a corresponding subjective item and a coefficient, and FIG. 29C is an association between a corresponding objective item, a target state and a measure. The table, Fig. 29D, is a table that associates measures with priorities. .. An example of the flow chart of the measure recognition process. An example of a flowchart of skin condition correspondence information output processing. FIG. 32A is a table in which the corresponding objective item is associated with the previous score and the current score, and FIG. 32B is a table in which the request is associated with the corresponding objective item and the coefficient. An example of the score display screen that corresponds to the request. An example of a flowchart of alternative measure recommendation processing.

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

[A. Usage of skin support server]
With reference to FIG. 1, the configuration of the skin support server 10 and its position with respect to the system constituting the present invention will be described. The skin support server 10 is composed of a computer system including a CPU, a memory, various interface circuits, and the like. The skin support server 10 is for improving or maintaining the skin condition of a plurality of users U (Ua, Ub, Uc are exemplified in FIG. 1) by executing an image display program held in a memory on the CPU. Realize the function to execute the process (image display process).

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

The communication terminal 50 (exemplifying 50a and 50b in FIG. 1) of the person in charge T (exemplifying Ta and Tb in FIG. 1) is also connected to the communication network 1. The person in charge T transfers data including information such as an appropriate skin care method considering the skin characteristics, hobbies, tastes, lifestyle, etc. of the user U to the skin support server 10 and the user terminal 30 via the communication terminal 50. By transmitting, advice is given to the improvement of the skin condition of the user U. 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, and the user depends on the entire system including the skin support server 10, the communication terminal 50 of the person in charge T, and the communication network 1. The advice for improving the skin condition of U may be provided to the user terminal 30 of the user U. For example, a method of providing advice to one or a plurality of user terminals 30 of the user U by a plurality of persons in charge T via the respective communication terminals 50 may be used.

Further, the skin support server 10 has a function of analyzing the unique data of each user transmitted from the user terminals 30 of the plurality of users U and generating secondary data that can be used for general purposes. It is also possible to provide a service of providing data to another system 60 via the communication network 1.

[B. Skin support server and user terminal configuration]
The configuration 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 an information output program held in the memory on the CPU. .. The processing by these configurations will be described later. Further, the skin support server 10 includes a support DB (database) 20 that holds various data used for image display processing of the user U. This support DB 20 is expanded on RAM, for example, and can be rewritten by updating subjective and objective data described later.

Next, the user terminal 30 of the present 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 unit" of the present invention. The touch panel 32 corresponds to the "input unit" of the present invention. Instead of or in addition to this, the camera 33 or the microphone 34 of the present invention can be obtained by recognizing the user's designation 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. It may function as an "input unit".

Note that one device "recognizes" information means that one device receives the information from another device, and that one device receives information stored in a storage medium connected to the one device. Reading, one device acquiring information based on the signal output from the sensor connected to the one device, one device acquiring from the received information or information stored in a storage medium or sensor. Deriving the information by executing a predetermined arithmetic process (calculation process, search process, etc.) based on the information It means that all arithmetic processing for acquiring the information is executed, such as receiving from, one device reading the information from the internal storage device or the external storage device according to the received signal.

In the present embodiment, since the user terminal 30 is, for example, a smartphone, it is provided with a camera 33, a microphone 34, and the like. Alternatively, a professional imaging device may be used. The CPU 35 allows the user U to enjoy the support provided by the skin support server 10 via the skin support application 35a by executing the program of the image display application 35a (hereinafter referred to as the skin support application 35a) held in the memory 36. Make it possible. The CPU 35 that executes the skin support application 35a is the "request recognition unit", "measure recognition unit", "output control unit", "other user evaluation recognition unit", "user information recognition unit", "other user information recognition unit", and "match". It corresponds to the degree recognition unit, the user behavior recognition unit, the behavior evaluation unit, the corresponding skin condition recognition unit, the user skin condition recognition unit, and the replacement unit.

In addition, the user U separately has a keratin collecting tape 37 (exemplifying 37a, 37b, 37c in FIG. 1) for acquiring skin cells. The keratin collecting tape 37 may be provided to the user U by the person in charge T in advance, 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 the user different from "user Ua" is referred to as "other user Ub, Uc". ..

[C. A series of processes by the 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 includes "1. goal setting", "2. schedule determination", "3. monitoring", "4. schedule correction", and [5. The processing of each step of [Goal determination] and “6.2 Secondary data generation” is executed according to the flowcharts shown in FIGS. 4 and 5. Further, the user terminal 30 executes the processing according to the flowchart shown in FIGS. 6 and 7 according to the processing by the skin support server 10 in each process. Hereinafter, the processing of the CPU 35 of the skin support server 10 and the user terminal 30 in each step will be described with reference to the flowcharts shown in FIGS. 4 to 7.

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 to the skin support application 35a.

When the skin support server 10 receives the registration application from the user Ua in STEP 10 of FIG. 4, it recognizes that "the registration application from the user Ua has been accepted" and proceeds to STEP 11. Then, the image display process after STEP 11 is started.

[D. Goal setting process]
The process of "1. 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 states of the user Ua and the skin condition requested by the user Ua. Send the data.

In the user terminal 30 that has received the initial information request data, the skin support application 35a, in STEP 51 of FIG. 6, gives the user Ua the current skin, body, and mental states, and the skin condition requested by the user Ua. A screen prompting the input of is displayed on the display 31. On the other hand, the user terminal 30 transmits the initial user information data including the information input by the user Ua to the skin support server 10.

In STEP 11 of FIG. 4, the skin condition recognition unit 11 receives the initial user information data and recognizes the skin, mind, and body states of the user Ua from the initial user information data, and the skin condition requested by the user Ua. Based on, set the target score (goal) of the skin condition.

Here, the initial user information data includes subjective data and objective data regarding the skin condition, the physical condition, and the mental condition. Although detailed definitions will be described later, subjective data is items judged by the user's subjectivity, and objective data is data based on inspection results, image analysis, and factual information. The subjective data of the skin condition includes the data of the evaluation of the user's skin by the user himself / herself. The subjective data of the skin condition is data showing, for example, the degree of satisfaction of the user Ua with respect to the current skin condition in 10 stages. The objective data of the skin condition includes the evaluation data made on the user's skin by a person different from the user according to a certain standard or rule, and the data obtained from the user's skin through an instrument or device. For example, the objective data of the skin condition is the skin image data of the user Ua. In addition to the objective data of the skin condition included in the initial user information data, the objective data of the skin condition may include the analysis data of the stratum corneum cells of the user Ua collected by the keratin collection tape 37.

The user's own evaluation of the skin of the user Ua is acquired by inputting a questionnaire in the skin support application 35a. User Ua's evaluation of the skin by the user Ua is, for example, greasiness, acne, pimples, conspicuous pores, dryness, dryness, firmness, firmness, transparency, fine lines, dullness, bears, and redness of the skin. , Skin whiteness, spots, buckwheat, stiffness, deflation, sensitivity, sagging, skin aging, amount of sebum by touch, skin feel by touch, skin temperature by touch, etc. Each of these evaluations can be given, for example, on a 10-point scale.

Evaluations made by a person different from User Ua on the skin of User Ua according to certain criteria or rules are greasy, acne, pimples, conspicuous pores, dryness, dryness, firmness, tightness, transparency, fine wrinkles. , Dullness, bear, redness of skin, whiteness of skin, spots, buckwheat, stiffness, deflation, sensitivity, sagging, amount of sebum by palpation, skin feel by palpation, skin temperature by palpation, etc. Each of these evaluations can be given, for example, on a 10-point scale. The evaluation can be determined, for example, by comparing the skin image data with the contrast image for each score.

A person different from the user Ua for the skin of the user Ua is a skin expert such as a person in charge T or an advisor of a cosmetics store. A person different from the user for the skin of the user Ua can obtain the skin image data via the communication terminal 50, for example, and perform the above evaluation based on the skin image data and the comparison image data.

A classifier for the above evaluation is created by machine learning such as supervised machine learning and reinforcement learning, and the above evaluation may be performed using the classifier.

The data obtained via the instrument or device is, for example, an image captured by an external camera connected to the camera 33 or the connection terminal 40 of the user terminal 30, and data acquired by the keratin sampling tape 37.

The skin support server 10 analyzes the data obtained by these methods according to a certain standard or rule to obtain sebum amount (sebum eligibility), water retention capacity (water retention capacity), ceramide amount, elasticity, blood circulation, melanin amount, and the like. Evaluate each of the amount of water, the angle of the corner of the mouth, the angle of the eyes, the number of wrinkles, the color of the lips or the complexion of the face. The skin support server 10 may express these in physical quantities such as, for example, a sebum amount of 100 μg. The skin support server 10 may score these in, for example, 10 steps. Further, the skin support server 10 may represent the color of the lips, the blood color of the face, and the like with a code indicating the color.

Further, the skin image data is image data acquired by the user Ua taking an image of the user Ua's face by an external camera connected to the camera 33 of the user terminal 30 or the connection terminal 40.

Further, the skin support application 35a displays the usage method of the keratin collecting tape 37 on the display 31 to the user Ua, and urges the user Ua to use the keratin collecting tape 37 and to mail it separately. The skin support application 35a may urge the user Ua to use the keratin collecting tape 37 and capture a skin image so that the captured image is transmitted to the skin support server 10.

The analysis data of the stratum corneum cells are specifically, for example, data on water retention capacity and sebum eligibility. In this case, the analysis of the stratum corneum cells is performed, for example, by the measuring device 45 connected to the user terminal 30, or the image data of the stratum corneum collection tape 37 is transmitted from the user terminal 30 to the skin support server 10.

In the skin support server 10, the image of the keratin collecting tape 37 may be analyzed on the skin support server 10 side to measure the water retention capacity, sebum eligibility, and the like.

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

Recognition of the water retention capacity score and the sebum eligibility score by analysis of the stratum corneum cells is called the first recognition method. The first recognition method is at least one of a method of measuring the water 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 periodically sends a message urging the user terminal 30 to use the keratin collecting tape 37 or the like. To encourage the user to take action. At this time, "regular" does not have to be strictly equidistant in time, and may be equidistant as long as the skin condition is not affected. For example, when the first recognition method is implemented every three months, if the first recognition method is implemented on January 1, not only April 1 just three months later, but also March one week before that, for example. A message may be sent to the user terminal 30 around 24 days, or for example, a message may be sent to the user terminal 30 around April 8 one week later. In addition, when providing services over the long term, for example, when you want to investigate minor improvements, set the first recognition method every month, and every three months to investigate the effect of seasonal changes on the skin condition. The recognition timing can be changed, such as by setting the first recognition method.

Recognizing the subjective score (for example, evaluation based on the user's book) based on the subjective data of the skin condition by inputting the questionnaire and recognizing the skin image score based on the skin image data of the user Ua are referred to as the second recognition method. As the second recognition method, the skin condition of the user Ua may be recognized by either the recognition of the subjective score based on the subjective data of the skin condition by the input of the questionnaire and the recognition of the skin image score based on the skin image data of the user Ua. , Different methods may be included. Moreover, 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 troublesome, complicated, and expensive. Further, if the keratin collecting tape 37 is frequently used, the skin of the user Ua may be adversely affected.

For example, the first recognition method is carried out every three months, and the second recognition method is carried out every day. Further, when the timings of the first recognition method and the second recognition method overlap, it is preferable that the first recognition method is carried out at the same timing, because accurate data can be obtained.

The subjective score may be any score recognized based on the subjective data.

The subjective data and the objective data of the physical condition are separated as shown in FIG. The detailed definition will be described later, but like the subjective data and the objective data of the skin, the subjective data is the item determined by the subjectivity of the user Ua, and the objective data is the data based on the inspection result, the image analysis, and the fact information. The subjective data of the physical condition includes the evaluation by the user himself / herself on the user's body. The subjective data of the physical condition is acquired by the user Ua inputting a questionnaire through the skin support application 35a. Objective data on the physical condition was obtained from the user's body via an instrument or device, as well as an evaluation made on the user's body by a person (doctor, etc.) different from the user according to certain standards or rules such as medicine. Contains data. For example, the objective data is 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 the user measured by the measuring device 45 connected to the connection terminal 40 of the user terminal 30. It is the measurement data of Ua's blood pressure, arrhythmia, urinary component, blood component and the like, and the data such as the number of times of poor physical condition such as headache or stiff shoulder and the degree of fatigue determination acquired by inputting a questionnaire in the skin support application 35a. 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 data and the objective data of the mental state are separated as shown in FIG. The detailed definition will be described later, but like the subjective data and objective data of the skin, the subjective data is the item judged by the subjectivity of the user Ua, and the objective data is the data based on the inspection result, the image analysis, and the fact information. .. The subjective data of the mental state includes the user's own evaluation of the user's mind. The subjective data is acquired by inputting a questionnaire in the skin support application 35a. The objective data of the mental state is the data of the movement related to the user's mind, and the data of the user's mind is made by a person different from the user (counselor, psychiatrist, etc.) according to certain standards or rules such as psychiatry. Includes evaluation and data obtained from the user's body via an instrument or device. For example, the objective data is acquired by inputting a questionnaire (frequency of laughing in a day, etc.) in the skin support application 35a and measuring with a measuring device (estimating the psychological state from pulse monitoring, etc.). In preparation for the development of services other than skin care in the future, information on the occurrence of various mental illnesses may be included in the initial user information data.

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

The skin condition recognition unit 11 is as shown by the triangle on the right side of FIG. 8 based on the subjective data and the objective data of the skin condition, the body condition, and the mental state of the user Ua recognized from the initial user information data in this way. The initial values of the three axes represented by the scores of 1 to 9 for the skin condition, 1 to 6 for the body condition, and 1 to 6 for the mental condition are set. Similar to the skin condition score, the physical condition or mental condition subjective score and objective score are calculated from the subjective data and objective data of the physical condition or mental condition, and the physical condition score and the mental condition score are calculated based on them. May be treated as.

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

Here, in the "want to become skin score", "want to become skin" means improvement of dryness, stiffness, sensitive skin, acne, deflation, age spots, wrinkles, sagging, dullness, dark circles, etc. It is a target for improving skin condition 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 a score selected by the user in 10 stages 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 minimizing the difference between the subjective condition of skin condition "improvement of dryness" and the standard of objective condition of skin condition "water retention capacity and sebum eligibility". Is associated with.

For example, when the "desired skin" is "improvement of dryness" and the satisfaction score of the dryness of the current skin condition is 3, it is associated with "improvement of dryness" according to the selection of the user Ua. Satisfaction level 5 for the subjective state "improvement of dryness" of the skin condition of the user Ua is set as a subjective target score.

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

In addition, in the "category of measures, hope, frequency", the category is "dietary habits, behavior at home, exercise, how to use cosmetics", etc., and the hope is "difficulty, time constraints, scenes of skin care", etc. As the frequency, "the number of times to receive advice per day" or the like is selected.

The "currently implemented measure" is a measure already taken by the user Ua, and is represented by the content, frequency, or degree of "immersing in a bathtub" or the like.

[E. Schedule determination process]
The process of "2. Schedule determination" shown in FIG. 3 is executed by the measure group selection unit 12 and the measure information transmission unit 13. The measure group selection unit 12 selects a measure group for achieving a 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 state of the skin condition, the improvement tendency of the objective state of the skin condition, and the suitable surrounding environment associated with each of the above-mentioned improvement targets. 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 position information detected by the area or GPS sensor registered in advance and the date and time acquired from the clock function of the terminal. Predict.

For example, in the measure group selection unit 12, the category hope is "behavior at home, eating habits, exercise", and the humidity is predicted to be 50% on average like the rainy season, which is a subjective goal. When the score is a satisfaction level of 5 or more for "dryness" and the objective target score is sebum eligibility 2 or more, the improvement tendency of the subjective state includes "improvement of dryness" and the improvement tendency of the objective state is "sebum eligibility". Select a measure that includes "improvement of sex" and is one of "behavior at home, eating habits, exercise" in the category, and the suitable surrounding environment does not contradict the humidity of 50%.

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 measures taken and the time-series change of the skin condition of other users Ub and Uc, or the measures taken and the skin condition of the user Ua. When the time-series change of is 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 information.

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

Further, for example, in the support DB 20, the measure "Take a bath" implemented by each of the other users Ub and Uc and the subjective state of the skin condition of each of the other users Ub and Uc before and after the measure is implemented. It is assumed that "satisfaction with the feeling of dryness" as a time-series change is memorized.

At this time, the measure group selection unit 12 determines the subjective data (dryness) of the skin condition on the day before the bath and the day when the bath is used, for example, regarding the measure "immerse in the bath" for each other user Ub and Uc. Satisfaction with) is calculated. Then, the measure group selection unit 12 takes an average value of the amount of change in the degree of satisfaction with respect to the feeling of dryness for each of the other users Ub and Uc. For example, when the average value of the amount of change in the "satisfaction with the feeling of dryness" is equal to or more than a predetermined value, the measure group selection unit 12 "improves the feeling of dryness" for the improvement tendency of the subjective state of the measure "immerse in the bathtub". Recognize that. The improvement tendency of the objective state can be recognized in the same way as the improvement tendency of the subjective state.

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 group and the same skin condition, based on the age and skin condition of the user Ua.

Further, when the measure implemented in the support DB and the time-series change of the skin condition of the user Ua are stored in the measure group selection unit 12, the measure group selection unit 12 is estimated based on the information calculated in the same manner as above. You may recognize the improvement tendency of the subjective state and the improvement tendency of the objective state.

In the first schedule determination process of the user Ua, the measure group selection unit 12 recognizes the improvement tendency of the subjective state and the improvement tendency of the objective state from the subjective data and the objective data of the skin condition of other users Ub and Uc. However, in the second schedule determination step of the user Ua, the improvement tendency of the subjective state and the improvement tendency of the objective state 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 the improvement tendency of the subjective state and the improvement tendency of the objective state not only for the skin state but also for the mental state and the physical state, and the improvement tendency of the subjective state of the mental state and the physical state and the improvement tendency of the physical state. Measures may be selected in consideration of the tendency of improvement in the objective state.

The measure group selection unit 12 may exclude measures having the same content and frequency or the same degree as the “current measures” from the measure group. This is because it is not necessary to propose the 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 "take a bath", "vitamin C intake", "vegetable intake", and "walk 10,000 steps or more". ..

Further, in order to select a measure according to the user's request, the skin support application 35a may proceed to STEP 71 of FIG. 6 and execute the measure request process of FIG. Details of the processing of policy requests will be described later.

The measure information transmission unit 13 evaluates the priority of the measure according to the "category, hope, frequency of the measure" of the user Ua from the measure group, and determines the initial measure according to the priority. FIG. 12 shows an example of a schedule in which "take a bath", "vegetable intake", and "walk 10,000 steps or more" are selected as initial measures. The measure information transmission unit 13 transmits schedule data indicating the contents of the schedule determined in this way to the user terminal 30.

The measure 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 schedules are determined at START, daily monitoring is performed, schedules are revised weekly, a progress graph is created one month later, goal judgments and new goals are determined in the third month. A plan for a series of events to configure is shown. In addition to or in place of the user Ua's designation, the measure information transmission unit 13 may use a predetermined plan for implementing each process for a certain period of time.

When the schedule data is received from the skin support server 10 in STEP 52 of FIG. 6 on the user terminal 30, the skin support application 35a has the schedule execution table as shown in FIG. 12 and the work contents as shown in FIG. 11B. The plan can be displayed to encourage the user Ua to implement each measure. In the execution table of the schedule of FIG. 12, the contents of each measure (“take a bath”, “vegetable intake”, “walk 10,000 steps or more”) are displayed.

[F. Monitoring process]
The process of "3. Monitoring" shown in FIG. 3 is executed by the skin condition recognition unit 11 and the measure information transmission unit 13 every period set by the user Ua on the skin support application 35a (every day in FIG. 11B). .. The user Ua who has started to use the skin support application 35a uses the user terminal 30 to check the daily skin, body, and mental states, the implementation status of the measures instructed by the schedule, and the users other than the measures instructed by the schedule. Enter the implementation status of Ua's voluntary actions (actions outside the policy). The implementation status of the measures includes information indicating whether or not "take a bath", "vegetable intake", and "walk 10,000 steps or more", as well as "30 minutes", "take a bath", and "300g". ”And“ ingest vegetables ”,“ 15,000 steps ”and“ walking ”, etc., the degree of implementation of measures expressed in terms of time, amount, etc. is included.

When the skin, body, and mental state are input by the user Ua in STEP 53 of FIG. 6, the skin support application 35a proceeds to STEP 60, and similarly to the above-mentioned initial user information data, the skin, body, and skin of the user Ua. The current user information data including subjective data and objective data about the state of mind is transmitted to the skin support server 10 and processed in STEP 54. If the skin, body, and mind states are not input by the user Ua in STEP 53 of FIG. 6, the skin support application 35a proceeds to STEP 54 as it is. The data transmitted here does not include data on stratum corneum cells collected by the stratum corneum collection tape 37.

Further, 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 in STEP 54 of FIG. 6, and displays the execution status data indicating the schedule execution status. It is transmitted to the skin support server 10 and the process proceeds to STEP 55 in FIG. When the schedule execution status (execution status of each measure) is not input by the user Ua in STEP 54 of FIG. 6, the skin support application 35a proceeds to STEP 55 as it is.

Further, the skin support application 35a advances the process to STEP 62 when the implementation status of the non-measure action is input by the user Ua in STEP 55 of FIG. 7, and the non-measure action implementation data showing the content of the implemented non-measure action is shown. Is transmitted to the skin support server 10 and the process proceeds to STEP56. The skin support application 35a proceeds to STEP 56 as it is when the implementation status of the non-measure action is not input by the user Ua in STEP 55 of FIG. 7.

STEP13 to STEP16 in FIG. 4 and STEP20 to STEP22 in FIG. 4 are processes by the measure information transmission unit 13. 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, the current user information data is accumulated in the support DB 20, and the process 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 skin condition recognition unit 11 proceeds to the process as it is in STEP 14.

Further, the measure information transmission unit 13 proceeds with processing in STEP 21 when the execution status data is received from the user terminal 30 in STEP 14, stores the execution status data in the support DB 20, and proceeds with processing in STEP 15. On the other hand, if it is determined in STEP 14 that the execution status data has not been received from the user terminal 30, the process proceeds to STEP 15 as it is.

Further, the measure information transmission unit 13 proceeds to STEP 22 when receiving the non-measure action implementation data from the user terminal 30 in STEP 15, stores the non-measure action implementation data in the support DB 20, and processes it in STEP 16 of FIG. Proceed. On the other hand, when the measure information transmission unit 13 does not receive the non-measure action implementation data from the user terminal 30 in STEP 15, the process proceeds to STEP 16 of FIG. 5 as it is.

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

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

In addition, the schedule progress table includes the degree of implementation of the measures ("30 minutes" bathtub, "300 g" vegetable intake, "15,000 steps" walking).

In the user terminal 30, when the skin support application 35a receives the progress table data transmitted from the skin support server 10 in STEP 56 of FIG. 7, it proceeds to STEP 63 and holds the progress table data in the memory 36. The skin support application 35a displays the progress table shown in FIG. 12 on the display 31 of the user terminal 30 by using the progress table data stored in the memory 36.

Further, in addition to the progress table data, the skin support application 35a includes initial user information data, current user information data, and execution status data of the user Ua stored in the support DB 20 of the skin support server 10 recognized via communication. Information indicating the transition or change of each state of the skin, body, and mind of the user Ua is displayed on the display 31 of the user terminal 30 by using the non-measure action implementation data or the like.

For example, as shown in FIG. 13, the skin support application 35a includes the user's behavior (change of face washing method, massage, etc.) and the user's physical condition (physiology, lack of sleep, etc.) other than the measures according to the schedule. , The relationship between 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 changes the skin condition including the keratin state of the user Ua, the psychological condition, the satisfaction level of skin care, and the evaluation value of how to use the cosmetics on a monthly basis. The contrasting radar chart is displayed on the display 31.

The user Ua visually recognizes these displays by the skin support application 35a and confirms the change in each state of his / her skin, body, and mind, thereby grasping the change in the state of body and mind as well as the degree of improvement of the skin. Therefore, it is possible to reach the goal of the target skin condition while improving the skin, body, and mind condition in a well-balanced manner.

Further, the skin support application 35a proceeds to STEP 72 and executes the skin condition correspondence information output process shown in FIG. The details of the skin condition correspondence information output processing will be described later.

[G. Schedule correction]
The process of "4. Schedule correction" shown in FIG. 3 is executed by the measure information transmission unit 13 every period set by the user Ua on the skin support application 35a (every week in FIG. 11B). STEP17 to STEP20 and STEP30 to STEP33 in FIG. 5 are processes by the measure information transmission unit 13.

Further, the skin support application 35a proceeds to STEP73 in the process of "4. Schedule correction" and executes the alternative measure recommendation process shown in FIG. 31. The details of the alternative measure recommendation process will be described later.

In STEP 17, the measure information transmission unit 13 is incorporated into the target achievement degree and schedule of the user Ua skin condition based on the initial user information data, the current user information data, the execution status data, etc. of the user Ua accumulated in the support DB 20. Evaluate the degree of implementation of each measure and the effect of each measure.

The measure information transmission unit 13 extracts the correlation between the skin condition and the physical or mental condition using the evaluation criteria of the measures shown in FIG. 15A, and based on this correlation, each measure incorporated in the schedule. Judgment of continuation, exclusion from the measure group, cancellation of the measure, change to another measure.

In the evaluation criteria of FIG. 15A, four items are used as judgment items: presence / absence of implementation, effect on skin, effect on body, and effect on mind, and the implementation rate exceeds the predetermined implementation rate, which has a positive effect on the skin. Measures that are present and that do not have a negative effect on the body and mind are evaluated as A and are judged to be continued. In addition, in FIG. 15A, the measure whose implementation rate exceeds the predetermined implementation rate is described as "implementation", and the measure whose implementation rate is less than or equal to the predetermined implementation rate is described as "non-implementation". The same applies to FIGS. 12 and 15B.

When the timing of the impact of the measure and the period for which the impact continues are set for each measure, the measure information transmission unit 13 determines the impact of each measure based on the timing of the impact of the measure and the period during which the effect of the measure continues. You may judge.

For example, if it is stipulated that the effect of the measure of "immersing in a bathtub" on the skin, the body, and the mind will be affected the next day and will continue for only one day, the measure information transmission unit 13 will For example, it is judged that the influence of the measure of "immersing in a bathtub" on December 15 is reflected in each state on December 16.

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

On the other hand, measures that are implemented and have a positive effect on the skin but have a negative effect on either the body or the mind are evaluated as B and are judged to be canceled or changed to another measure. In addition, since it is considered that the measure whose implementation rate is less than the predetermined implementation rate has a heavy load on the user Ua, it is evaluated as C and canceled or another measure (for example, a measure to reduce the load on the user Ua or another measure). Measure) is judged to be a change.

The measure information transmission unit 13 may evaluate whether each measure has a positive or negative effect on the skin, body, and mind by implementing each measure for only one day, or in a certain period such as several days or several weeks. By implementing each measure, it may be evaluated whether it has a positive or negative effect on the skin, body and mind. When the evaluation is performed in a certain period, for example, the measure information transmission unit 13 gives a B evaluation when any of the states is adversely affected at a certain ratio, a C evaluation when the implementation ratio is below a certain ratio, and other cases. In the case of, it may be evaluated as A. Instead of this, the measure information transmission unit 13 may be evaluated as B when, for example, the average value of satisfaction in any of the states in a certain period is equal to or less than a predetermined value. In addition, if the satisfaction level of any of the states in one day is less than or equal to the predetermined value and the average value of the satisfaction levels of any of the states in a certain period is less than or equal to the predetermined value, the evaluation is C and any of the evaluations in one day. If the satisfaction level of one of the states is below the specified level, or if the average value of the satisfaction level of any of the states is below the specified level, the rating is B, and the satisfaction level of any of the states in one day is specified. If the value is exceeded and the average value of satisfaction in any of the states exceeds a predetermined value, the evaluation may be A, and the evaluation for one day and the evaluation for a certain period may be used in combination. ..

Further, when the improvement degree of the skin condition score shown in FIG. 8 is equal to or less than the predetermined improvement degree, the measure information transmission unit 13 implements a measure in which the improvement degree of the skin condition score is equal to or less than the predetermined improvement degree. It may be excluded from the measure group. The measure information transmission unit 13 sets a measure group in which the improvement degree of the physical condition or the mental state score is less than or equal to the predetermined improvement degree when the improvement degree of the physical condition or the mental state score is less than or equal to the predetermined improvement degree. May be excluded from.

FIG. 15B shows an example in which the evaluation criteria shown in FIG. 15A are applied to the measures in the present embodiment (soaking in a bathtub, ingesting vegetables, walking 10,000 steps or more). According to FIG. 15B, the measure information transmission unit 13 decides to continue on the next schedule with "use in the bathtub" as an A evaluation, and excludes "vegetable intake" from the measure group as a B evaluation. Decided to cancel or change to another measure on the schedule, and "walk 10,000 steps or more" is evaluated as C, excluded from the measure group, canceled on the next schedule or changed to another measure. I have decided.

The measure information transmission unit 13 determines the influence of a plurality of measures for each combination of those measures. For example, if the combination of "soak in the bathtub" and "vegetable intake" is B evaluation or C evaluation, the measure information transmission unit 13 decides only one measure of "soak in the bathtub" or "vegetable intake". , Or it may be changed to be a combination of any of these measures and another measure.

The measure information transmission unit 13 performs such an evaluation process, determines the necessity of schedule revision (mainly correction by changing to other measures of the measure group), and when it is determined that schedule revision is necessary, processes it in STEP30. To correct the schedule. Then, the schedule correction data, which is the data of the corrected schedule, is transmitted to the user terminal 30, and the process proceeds to STEP 19. On the other hand, when it is determined that the schedule revision is unnecessary, the measure information transmission unit 13 proceeds from STEP 18 in FIG. 5 to STEP 19 in FIG. 5, and in this case, the schedule is not revised.

Next, the measure information transmission unit 13 is incorporated in each non-measure action (scheduled) performed by the user Ua based on the initial user information data, the current user information data, the non-measure action implementation data, etc. in STEP 19. In addition to the measures, the actions taken by the user) are evaluated.

The measure information transmission unit 13 determines whether or not to recommend or prohibit the non-measure action by using the evaluation criteria of the non-measure action shown in FIG. 16A. In the evaluation criteria of FIG. 16A, the influence on each state of the skin, body, and mind is used as a determination item.

If "there is a positive effect on the skin, body, or mind, and there is no negative effect on any of them," a D rating is recommended. On the other hand, if "it has a bad effect on the skin, body, or mind", it will be evaluated as E and prohibited. In addition, if "there is no effect on the skin, body, or mind", it will be evaluated as F and implementation is not recommended.

FIG. 16B shows an example in which the evaluation criteria shown in FIG. 16A are applied to the out-of-measure behavior (massage received, ingested a large amount of chocolate) in the present embodiment. According to FIG. 16B, the measure information transmission unit 13 has decided to recommend the implementation according to the following schedule as a D evaluation for "receive a massage". In addition, regarding "large amount of chocolate intake", as an E evaluation, it has been decided to propose measures to stop it in the next schedule (for example, alternatives to ingesting Japanese sweets).

When the measure information transmission unit 13 decides to recommend or prohibit the implementation of the measures incorporated in the schedule, such as cancellation or change, or actions outside the measures, the process proceeds from STEP 20 to STEP 31. Then, when the recommendation is decided, the process proceeds from STEP 31 to STEP 33, the non-measure action recommendation data for recommending the implementation of the non-measure action is transmitted to the user terminal 30, and the process proceeds to STEP 13 in FIG.

On the other hand, when the measure information transmission unit 13 decides the prohibition proposal, the process proceeds from STEP 31 to STEP 32, and the non-measure action prohibition data proposing the prohibition of the non-measure action is transmitted to the user terminal 30, and FIG. Proceed to STEP13.

Further, the measure information transmission unit 13 proceeds from STEP 20 to STEP 13 of FIG. 4 when there is no action outside the measure that proposes recommendation or prohibition. If there is an alternative action in the non-measure action that proposes prohibition, the non-measure action prohibition data that proposes a change to the alternative action may be transmitted to the user terminal 30 instead of the prohibition proposal.

When the skin support application 35a receives the schedule correction data from the skin support server 10 in STEP 57 of FIG. 7, the skin support application 35a proceeds to STEP 65 and corrects the schedule based on the schedule correction data. Then, the skin support application 35a updates the schedule data held in the memory 36, and advances the process to STEP 58.

Further, when the skin support application 35a receives the non-measure action recommendation data or the non-measure action prohibition data from the skin support server 10 in STEP 58 of FIG. 7, the process proceeds to STEP 66, and the non-measure action is performed according to the received data. A screen for notifying the recommendation or prohibition proposal is displayed on the display 31 of the user terminal 30. 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 schedule may be revised as a new measure for the recommended non-measure action.

[H. Goal judgment process]
In the process of "5. Goal determination" shown in FIG. 3, every period set by the user Ua on the skin support application 35a (3 months after START in FIG. 11B), the skin condition recognition unit 11 and the measure group It is executed by the selection unit 12 and the measure information transmission unit 13.

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

The skin condition recognition unit 11 recognizes objective values of skin condition (water retention capacity, sebum eligibility, etc.) based on the information obtained from the mailed keratin collection tape 37. The objective value may be the same as the value indicating the physical state of the skin, such as 0-100 μS of water content, or it is normalized by assigning each physical state to any of 1 to 10 according to the size. It may be a value.

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

The skin condition recognition unit 11 recognizes the subjective value (subjective score) of the dryness of the skin and the objective value (skin image score) of the skin condition 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 support for the skin condition and after 3 months based on the subjective value of the dryness of the skin and the objective value of the skin condition. Determine the degree of goal achievement.

In the example of FIG. 17, since the score of the subjective value of dryness increased from 3 to 5 in 3 months, it was judged to be achieved (○), and as for the objective value, the skin image score was 3 to 4 in 3 months. It is judged to be achieved (◯) because the water retention capacity is maintained at 2 and the sebum eligibility is increased from 1 to 2. Since both the subjective value and the objective value have achieved the goal, it is judged that the goal has been achieved as a whole.

The skin condition recognition unit 11 and the measure group selection unit 12 re-execute the process of "1. Goal setting" shown in FIG. 3 in order to set a new goal when the goal is achieved. If the goal is not reached, the skin condition recognition unit 11 and the measure group selection unit 12 may carry out the "2. schedule determination" process, or "1. goal setting" according to the user's wishes or progress. The process may be performed again.

[I. Secondary data generation]
The process of "6.2 Secondary data generation" shown in FIG. 3 is executed by the secondary data generation unit 19. The secondary data generation unit 19 includes various data such as initial user information data, stratum corneum cell analysis data, current user information data, execution status data, and out-of-measure action execution data transmitted from a plurality of users U (hereinafter, individual users). Data) is sequentially accumulated in the support DB 20 for each user.

Then, the secondary data generation unit 19 analyzes the user individual data stored in the support DB 20, and as shown in FIG. 18, for example, the characteristics (gender, age, place of residence, preference, lifestyle, etc.) of each user. ), Support improvement targets (dryness, stiffness, sensitivity, acne, deflation, etc.), measures proposed by the schedule (soaking in a bathtub, vegetable intake, walking 10,000 steps or more, etc.), and skin due to implementation of the measures, Generates secondary data that associates changes in each state of the body and mind.

Further, for the non-measure behavior, the secondary data generation unit 19 generates secondary data in which the characteristics of each user and the influence of each state of the skin, body, and mind due to the implementation of the non-measure behavior are associated with each other as in FIG. Generate.

The secondary data generated in this way is effectively utilized when selecting effective measures for improving the skin condition while having a positive effect on the body and mind for users having 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 select a measure suitable for the characteristics of the user Ua by referring to the secondary data.

Further, in the process of "4. Schedule correction" in FIG. 3 described above, when the measure information transmission unit 13 changes the schedule according to the transition of each state of the skin, body, and mind of the user Ua, the secondary data You can change to a schedule that incorporates more effective measures or actions outside the measures by referring to.

Furthermore, the secondary data can be effectively used to support the skin condition, and for marketing purposes targeting users with certain characteristics (for example, outdoor-oriented women in their 30s living in Tokyo). Can also be used. Therefore, the secondary data may be provided to another system 60 or the like shown in FIG.

[J. Request realization measure recognition processing]
An example of the request realization measure recognition process will be described with reference to FIG.

In STEP 101 of FIG. 19, the request recognition unit executes a request recognition process described later. The request recognized in STEP 101 is transmitted to the skin support server 10 by the skin support application 35a and stored in the support DB. The request recognized in STEP 101 is recognized by the skin support application 35a at any time via communication.

In STEP 102 of FIG. 19, the measure recognition unit executes the measure recognition process described later.

In STEP 103 of FIG. 19, the output control unit outputs information including the recognized measure to the display 31. After that, the measure can be selected according to the operation of the user Ua. The selected measure is transmitted to the skin support server 10 by the skin support application 35a and stored in the support DB. The measures stored in the support DB are recognized by the skin support application 35a at any time via communication.

[K. Request recognition process]
Subsequently, an example of the request recognition process in STEP 101 of FIG. 19 will be described with reference to FIGS. 20 to 22A.

In STEP 201 of FIG. 20, the output control unit outputs a product selection screen to the display 31. In place of or in addition to the product, the service selection screen may be output to the display 31.

The output control unit outputs, for example, the screen shown in FIG. 21 to the display 31. On the screen shown in FIG. 21, the first product display P01 including the product name in which words related to the impression such as "man's kit", "gentleman's kit", and "healthy looking kit" are used, and "I can do it!" The second product label P02, which includes product names that use words related to the state of mind such as "kit!", And the third product label that includes product names that use words that are not related to either impression or state of mind. It includes P03, an address and name input field P04, and a purchase button P05. On this screen, various information can be input via the touch panel 32.

The impression of the user Ua is when the user Ua himself or a person who is not the user Ua observes a relatively wide area of the user Ua including the skin of the user Ua, such as the entire face or body of the user Ua. It is a direct feeling given to the mind of the observer (the user Ua himself or not the user Ua). The impression of the user Ua differs in that it observes a relatively wider area than the user Ua's own evaluation of the user Ua's skin and the evaluation made by a person different from the user Ua's skin according to certain criteria or rules. .. In addition, the impression of the user Ua is a direct feeling given to the mind of the observer, and is a certain criterion depending on the evaluation by the user Ua on the skin of the user Ua and the user Ua on the skin of the user Ua. Or it is different from the evaluation made according to the rules.

Also, examples of words that give a user's impression are handsome, masculine, gentlemanly, healthy, youthful, reliable, lively, energetic, reassuring, kind, and dependable. Yes, workable, responsible, serious, look strong, fulfilling life, reassuring, mature, mature, handsome, beautiful, cute, feminine, graceful , Refreshing, inclusive, cute, welcoming, likely to be popular, charismatic, aura, attractive, attractive.

Examples of words that indicate a user's state of mind are self-confidence, self-confidence, calmness, positiveness, honesty, fun, fun feeling, dislike of others' behavior and complexion, and envy of others. No, I like to act, I am flexible, I am aware of the strengths of others, I am carefree, I want to confirm the facts, I want to be considerate of others, I can be honestly grateful, I can overcome the pain, I do not think pessimistically , Feeling depressed, anxious, forgetting things you don't like quickly, being able to control yourself, being motivated, motivated to work, sharpened thinking, high concentration, high thinking, Hard to get nervous, not frustrated, not emotional, highly motivated to achieve, always want to have goals, want to do better than others, want to make use of individuality, happiness, fulfillment, crush, easygoing, bold, motivated to achieve, give up No, sociable, patient, exciting, peaceful, compassionate, courageous, affectionate, immovable, highly resilient.

The first product display P01 to the third product display P03 may include an image of the product or the like in place of or in addition to the product name.

In STEP 202 of FIG. 20, when the request recognition unit recognizes the pressing operation of the purchase button P05 via the touch panel 32, it recognizes the selected product name and the address and name as the destination based on the input information. .. For example, when the pressing operation of the purchase button P05 is recognized on the screen of FIG. 21, the request recognition unit receives the "healthy-looking kit" as the product name and the "1-1, XX town, XX-ku, Tokyo" as the address. "And recognize" △△ Taro "as the name. When a service is selected, the selected service, address, and name may be recognized.

In STEP 203 of FIG. 20, the request recognition unit performs a process such as sending an e-mail to the person in charge of shipping based on the selected product name and destination information (address and name), so that the selected product is selected. Arrange to send to the destination. When a service is selected, the request recognition unit stores the address and name in the support DB or the like as the beneficiaries of the selected service.

In STEP 204 of FIG. 20, the output control unit recognizes the usage method of the selected product by referring to a table (not shown) or the like, and outputs information indicating the usage method of the product to the display 31. When the service is selected, the request recognition unit recognizes the service enjoyment method and outputs information indicating the service enjoyment method to the display 31.

In STEP 205 of FIG. 20, the request recognition unit recognizes the request regarding the impression or the state of mind of the user Ua based on the selected product. For example, when the "healthy looking kit" is selected, the output control unit may refer to the table in FIG. 22A to request the user Ua's impression or mental state that he / she wants to have a healthy appearance. Recognize. Similarly, regarding the service, the request regarding the impression or the state of mind of the user Ua can be recognized. The table of FIG. 22A can be created by having the purchaser of the product enter a questionnaire about the purchased product and his or her impression or state of mind. The developer of the skin support application 35a or the like may create the table of FIG. 22A in advance based on his / her experience or knowledge.

[L. Request recognition process]
Subsequently, another example of the request recognition process in STEP 101 of FIG. 19 will be described with reference to FIGS. 22B and 23.

In STEP 301 of FIG. 23, the output control unit outputs a screen for selecting a word expressing impression or self-confidence to the display 31. The word expressing an impression is, for example, a word expressing an impression that another person or the user Ua himself / herself feels toward the user Ua, such as being active, calm, or bright. The word expressing self-confidence is a word expressing self-confidence of the user Ua such as "full of self-confidence". In addition to or in place of words expressing impression or self-confidence, a screen for selecting a figure expressing impression or self-confidence may be output to the display 31.

In STEP 302 of FIG. 23, the request recognition unit recognizes the selected word via the touch panel 32.

In STEP 303 of FIG. 23, the request recognition unit recognizes the request regarding the impression or the state of mind of the user Ua corresponding to the selected word. For example, when the word "bright" is selected, the request recognition unit refers to the table in FIG. 22B and recognizes the user Ua's request for appearance or state of mind that "wants to have a healthy appearance". do. In addition to or instead, the request recognition unit may recognize the user Ua's request from the selected word itself. Further, even when the figure is selected, the request regarding the impression or the state of mind of the user Ua corresponding to the figure can be recognized by the same processing. The table of FIG. 22C can be created by having a randomly selected person select a word and then enter a questionnaire with the selected word and a request for that person's impression or state of mind. The developer of the skin support application 35a or the like may create the table of FIG. 22B in advance based on his / her experience or knowledge.

[M. Request recognition process]
Subsequently, another example of the request recognition process in STEP 101 of FIG. 19 will be described with reference to FIGS. 22C and 24.

In STEP 401 of FIG. 24, the output control unit outputs a screen for inputting user Ua attributes such as age, gender, occupation, area of residence, and personality to the display 31.

In STEP 402 of FIG. 24, the request recognition unit recognizes the attribute of the user Ua based on the information input via the touch panel 32.

In STEP 403 of FIG. 24, the request recognition unit recognizes the request regarding the impression or the state of mind of the user Ua corresponding to the attribute of the user Ua. For example, the request recognition unit refers to the table shown in FIG. 22C to recognize the user's impression of the user Ua's attributes or the request regarding the state of mind. Further, the request recognition unit refers to a table in which the time is added to the table shown in FIG. 22C in consideration of the season in addition to the attribute of the user Ua. You may recognize a request regarding the user's impression or state of mind, such as "I want to be seen". The table of FIG. 22C can be created by having a randomly selected person enter a questionnaire about his or her attributes and timing and his or her impressions or requests for state of mind. The developer of the skin support application 35a or the like may create the table of FIG. 22C in advance based on his / her experience or knowledge.

[N. Measure recognition processing]
Subsequently, an example of the measure recognition process in STEP 102 of FIG. 19 will be described with reference to FIGS. 25 to 26.

In STEP501 of FIG. 25, the user information recognition unit recognizes the user information of the user Ua.

The user information of the user Ua is information including the attributes of the user Ua (age, gender, occupation, area of residence, hobbies, tastes, etc.), the living behavior (habit) of the user Ua, and the constitution of the user Ua.

The user information recognition unit may recognize the attributes of the user Ua, the living behavior of the user Ua, and the constitution of the user Ua based on the information input via the touch panel 32. The user information recognition unit searches for an SNS site or the like based on the information input by the user Ua such as the email address of the user Ua, and based on the information described in the searched site, the attributes of the user Ua and the user Ua. You may recognize the living behavior and the constitution of the user Ua. The recognized information can be stored in the support DB 20 together with the user ID for identifying the user.

In this embodiment, as shown in the table of FIG. 26A, "35 years old", "male", and "professional office worker" are recognized as the attributes of the user Ua, and "drinking habit" is set as the habit of the user Ua. It will be described as recognizing and recognizing "dry eye" as the constitution of the user Ua. The table of FIG. 26A can be created from the information contained in the initial user information data of the system.

In STEP 502 of FIG. 25, the other user information recognition unit recognizes the user information of another user different from the user Ua. User information of other users can be collected in the same manner as user information of user Ua.

In STEP 503 of FIG. 25, the matching degree recognition unit recognizes the matching degree between the user Ua and each other user. For example, as shown in FIG. 26A, the matching degree recognition unit may recognize the matching degree by the number of common terms with the user Ua. At this time, regarding the age, a certain range of ages such as those in their thirties may be recognized as the same age. Further, the degree of matching may be recognized not only by the number of common terms but also by a weighted average or the like based on a coefficient unique to each item.

In STEP 504 of FIG. 25, the measure recognition unit extracts other users whose degree of matching with the user Ua is equal to or higher than a predetermined degree of matching threshold. The match degree threshold value may be a predetermined value stored in the support DB 20 and recognized by communication, or may be a value determined by the user Ua via the touch panel 32 as described later.

In this embodiment, it is assumed that the matching degree threshold value is 2. In this case, the measure recognition unit extracts another user 2, another user 3, and another user 5 having a matching degree threshold value of 2 or more from the table shown in FIG. 26A.

In STEP 505 of FIG. 25, the measure recognition unit recognizes the request of the other user, the measure of the other user, and the evaluation by the other user for each of the extracted other users.

For example, the measure recognition unit recognizes the request of another user, the measure of another user, and the evaluation by another user by referring to the table of FIG. 26B. In the above example, the measure recognition department has the request of other user 2 "want to be seen as a gentleman", the measure "use basic cosmetics", the evaluation "8", and the request of other user 3 "want to have a healthy appearance". , Measure "1km running", evaluation "7", request of other user 5 "want to have a healthy appearance", measure "use basic cosmetics", evaluation "10". Evaluations by other users can be collected in the skin condition correspondence information output process of FIG. 31, which will be described later.

The table of FIG. 26B can be created when each other user is using this system.

In STEP 506 of FIG. 25, the measure recognition unit recognizes a measure that is the same as the request of the user Ua and whose evaluation by another user is equal to or higher than a predetermined evaluation threshold. For example, the measure recognition unit recognizes the measures of the other user 3 and the other user 5 who have the same request as the user Ua's request "want to have a healthy appearance", in which the evaluation by the other user is equal to or higher than the predetermined evaluation threshold. do. When the evaluation threshold is 7.0, the measure "1 km running" and the measure "use basic cosmetics" can be recognized.

Information including this recognized measure can be output by the output control unit in STEP 103 of FIG. The output control unit outputs, for example, the screen shown in FIG. 27 to the display 31.

On the screen shown in FIG. 27, a heading display P10, a measure selection box P11, an average value display P12 of matching degree, an average evaluation display P13, a measure selection button P14, and another measure browsing link P15 are displayed. The search condition display P16 and the search condition change link P17 are included.

The heading display P10 includes information indicating the user Ua's request that "a user who wants to have a healthy appearance and is similar to you is implementing the following measures."

The measure selection box P11 is a box for selecting which measure of the user Ua.

The display of the average value of the matching degree P12 is a display of the average value of the matching degree of other users who have executed the measure. Instead of or in addition to this, the maximum value, median value, etc. of the degree of matching of other users who have executed the measure may be displayed.

The average evaluation display P13 is a display showing the average value of evaluations by other users for the measure. Instead of or in addition to this, the highest value, median value, etc. of the evaluation of other users for the measure may be displayed.

The measure selection button P14 is a button for determining the selected measure as the measure of the user Ua. When the pressing operation of the measure selection button P14 is detected via the touch panel 32, the output control unit transmits the measure in which the measure selection box P11 is checked to the skin support server 10 as the measure of the user Ua. The transmitted measure is incorporated into the user Ua's schedule.

The measure list browsing link P15 is a link for browsing the measure list. When the output control unit detects the pressing operation of the link via the touch panel 32, the output control unit outputs a list of measures to the display 31.

The search condition display P16 is a display showing search conditions for measures such as a matching degree threshold value and an evaluation threshold value.

The search condition change link P17 is a link for changing search conditions such as a matching degree threshold value and an evaluation threshold value. When the output control unit detects the pressing operation of the link via the touch panel 32, the output control unit outputs a screen for designating search conditions such as a matching degree threshold value and an evaluation threshold value to the display unit 31. The measure recognition unit re-searches for the measure by re-executing the processes of STEP 503 to STEP 506 in FIG. 25 based on the information input via the touch panel 32.

[O. Measure recognition processing]
Subsequently, another example of the measure recognition process in STEP 102 of FIG. 19 will be described with reference to FIGS. 28 to 29C.

In STEP 601 of FIG. 28, the corresponding skin condition recognition unit recognizes an objective item (corresponding objective item) of the skin condition corresponding to the request of the user Ua. Instead of this, the corresponding skin condition recognition unit recognizes the corresponding subjective item corresponding to the request of the user Ua by referring to the table (not shown), and further, by referring to the table not shown, the corresponding subjective item. You may recognize the corresponding objective item of the skin condition corresponding to.

For example, the corresponding skin condition recognition unit recognizes the corresponding objective item and the target state by referring to the table shown in FIG. 29A. For example, when the user Ua's request is "to have a healthy appearance", the corresponding objective items are "water content", "sebum amount", "number of wrinkles", and the target states "increase" and "decrease". Recognize "decrease". The developers evaluated a randomly selected person for their impression or state of mind and an objective score for their skin condition, and evaluated their impression or state of mind for multiple people and their skin condition. The table of FIG. 29A may be created based on the relationship between the impression or the state of mind and the objective score of the skin condition from the relation with the objective score of the above. Further, the developer of the skin support application 35a or the like may create the table of FIG. 29A in advance based on his / her experience or knowledge.

The corresponding objective item may be an item in an evaluation made according to a certain standard or rule by a person different from the user Ua for the skin of the user Ua.

In STEP 602 of FIG. 28, the corresponding skin condition recognition unit recognizes the corresponding subjective item, which is the subjective item of the skin condition corresponding to the corresponding objective item. The corresponding skin condition recognition unit recognizes the corresponding subjective item corresponding to the corresponding objective item by referring to the table shown in FIG. 29B, for example. For example, "dryness", "greasiness", and "aging degree" are recognized for the corresponding objective items "moisture amount", "sebum amount", and "number of wrinkles", respectively. The coefficient in the table shown in FIG. 29B is a coefficient to be multiplied when the score of the corresponding objective item is converted into the score of the corresponding subjective item. Corresponding subjective items can be utilized in the alternative measure recommendation process described later. The developers asked a randomly selected person to input a questionnaire about the subjectivity of the skin condition, measured the objective state of the person's skin condition, and the relationship between the subjectivity of the skin condition and the objective state of the skin condition. By analyzing the sex, the table shown in FIG. 29B can be created. Further, the developer of the skin support application 35a or the like may create the table of FIG. 29B in advance based on his / her experience or knowledge. When the corresponding objective item is an item in the evaluation made according to a certain standard or rule by a person different from the user Ua for the skin of the user Ua, the corresponding skin condition recognition unit considers the same item as the corresponding subjective item. May be recognized as.

In STEP 603 of FIG. 28, the measure recognition unit recognizes the measures for improving the corresponding objective items. The measure recognition unit recognizes the measures for improving the corresponding objective items by referring to the table shown in FIG. 29C, for example. For example, the measure recognition unit recognizes "bathing for 10 minutes or more" as a measure for increasing the "water content". Further, for example, the measure recognition unit recognizes "1 km running" and "use basic cosmetics" as measures for reducing "the amount of sebum" and "the number of wrinkles". The developers measure the objective state of the skin condition for randomly selected people, then have them take specified measures, acquire the subsequent changes in the skin condition, and change the objective state of the skin condition and the measures. By analyzing the relationship between the above, the table shown in FIG. 29C can be created. Further, the developer of the skin support application 35a or the like may create the table of FIG. 29C in advance based on his / her experience or knowledge.

In STEP 103 of FIG. 19, information including these recognized measures can be output to the display 31 by the output control unit.

[P. Measure recognition processing]
Subsequently, another example of the measure recognition process in STEP 102 of FIG. 19 will be described with reference to FIGS. 29D to 30.

In STEP701 of FIG. 30, the user behavior recognition unit recognizes the behavior of the user Ua in the second period obtained by dividing the past first period.

For example, the user behavior recognition unit recognizes the past data (execution status data, non-measure action execution data) of the user Ua by communicating with the skin support server 10. The user behavior recognition unit divides the past first period (for example, one month) shown in the recognized data into a plurality of second periods (for example, every week). Then, the measure recognition unit executes the processes of STEP701 to STEP704 of FIG. 30 for each second period. In STEP701 of FIG. 30, the user behavior recognition unit recognizes the behavior of the user Ua in the second period of the target.

In STEP 702 of FIG. 30, the behavioral evaluation unit recognizes the change in the impression or the state of mind of the user Ua in the second period of the subject. For example, the behavioral evaluation unit recognizes the evaluation of the user Ua's impression or mental state at the start of the second period and the evaluation of the user Ua's impression or mental state at the end of the second period. The evaluation of the user Ua's impression or mental state can be recognized in the skin condition correspondence information output process described later. In the present embodiment, the evaluation of the user Ua's impression or state of mind is expressed in stages such as dissatisfaction, slightly dissatisfied, slightly satisfied, and satisfied.

Further, the start time and end time of the second period are not only the start time and end time of the second period in a strict sense, but also the start time and end time of the second period (for example, the time point of the second period). It also means (when the impression or state of mind of the user Ua is evaluated before the start or end or immediately after the start or end).

In STEP 703 of FIG. 30, the behavior evaluation unit is the user Ua in the second period of the target.
It is determined whether or not the impression or the state of mind of the user has approached the request of the user Ua. For example, the behavior evaluation unit determines whether or not the evaluation at the end point recognized in STEP 702 in FIG. 30 is closer to the state that meets the request of the user Ua than the evaluation at the start time. The behavior evaluation unit may determine whether or not the evaluation of the user Ua's impression or mental state is close to satisfaction.

If the determination result is affirmative (YES in STEP 703 of FIG. 30), it is determined that the impression or state of mind of the user Ua has approached the request of the user Ua in the second period of the subject, and the action is performed in STEP 704 of FIG. The evaluation unit adds a predetermined positive value to the priority of the action in the second period of the target.

When the determination result is negative (NO in STEP703 of FIG. 30), it is determined that the impression or the state of mind of the user Ua does not approach the request of the user Ua in the second period of the subject. If the determination result is negative or after the processing of STEP 704 in FIG. 30, in STEP 705 of FIG. 30, the behavioral evaluation unit processes the STEP 701 to STEP 704 of FIG. 30 for all the second periods included in the first period. To determine whether or not was executed.

If the determination result is negative (NO in STEP705 of FIG. 30), the user behavior recognition unit determines STEP701 of FIG. 30 with respect to the unprocessed second period because the unprocessed second period remains. Run.

When the determination result is affirmative (YES in STEP 705 of FIG. 30), in STEP 706 of FIG. 30, the measure recognition unit recognizes a measure equal to or higher than a predetermined priority threshold value. The priority threshold value may be a threshold value previously stored in the support DB of the skin support server 10 and recognized by communication, or may be a threshold value specified by the user Ua.

By repeating the processes of STEP 701 to STEP 704 of FIG. 30, the priority for each of the actions of the user Ua performed in the first period is calculated, for example, as shown in the table of FIG. 29D. The higher the priority, the more the behavior of the user Ua to which the priority is given means that the user Ua's evaluation of the user Ua's impression or state of mind has a positive influence.

In STEP 103 of FIG. 19, the output control unit outputs the measures recognized in STEP 706 of FIG. 30 to the display 31.

[Q. Skin condition correspondence information output processing]
Subsequently, an example of the skin condition correspondence information output processing in STEP 72 of FIG. 7 will be described with reference to FIGS. 31 to 33.

In STEP801 of FIG. 31, the user skin condition recognition unit recognizes a set of scores indicating the previous and current user's skin conditions. For example, as shown in the table shown in FIG. 32A, the user skin condition recognition unit obtains the previous scores for the objective items "moisture amount", "sebum amount", "number of wrinkles", and "angle of eyes" of the user Ua's skin condition. The set "2" "2" "2" "3" of the current score and the set "5" "4" "1" "4" of this time are recognized.

In STEP 802 of FIG. 31, the replacement unit recognizes the coefficient of each skin item corresponding to the impression or the state of mind desired by the user Ua. For example, when the user Ua's request is "want to have a healthy appearance", in FIG. 32B, the replacement portion is an objective item "water content""sebum" of each skin condition corresponding to "want to have a healthy appearance". Recognize the coefficients "8", "-3" and "-2" corresponding to each of "amount" and "number of wrinkles". The developers measured the objective state of the skin and evaluated the impression or the state of mind of a randomly selected person, and evaluated the relationship between the item of the objective state of the skin and the impression or the state of the mind. By analysis, the table shown in FIG. 32B can be created. Further, the developer of the skin support application 35a or the like may create the table of FIG. 32B in advance based on his / her experience or knowledge.

In STEP 803 of FIG. 31, the substitution unit recognizes the previous or current impression or mental state score based on the coefficient and the set of scores. The previous impression or mental state score is the user Ua's impression or mental state score measured at the time of the previous activation. The current impression or mental state score is the user Ua's impression or mental state score measured at the time of activation this time. Further, instead of or in addition to the previous score, a score before a predetermined period such as one month ago, a score at the time when a request is input, or the like may be recognized.

The replacement part is a set of previous scores "2", "2", "2", "3" of the objective items "moisture amount", "sebum amount", "number of wrinkles", and "angle of eyes" of the user Ua's skin condition. From the coefficients "8", "-3", and "-2" corresponding to each of the objective items "water content", "sebum amount", and "number of wrinkles" of each skin condition corresponding to "I want to have a healthy appearance". By taking a weighted average of only the objective items "water content", "sebum amount", and "number of wrinkles" of each skin condition corresponding to "I want to have a healthy appearance", the previous impression or mental condition score is set to 6. calculate.

Similarly, the replacement unit calculates the current impression or mental state score as 30.

In STEP 804 of FIG. 31, the output control unit outputs information prompting the evaluation of the impression and the evaluation of the measure and the information including the impression or the state of mind score.

For example, the output control unit outputs the screen shown in FIG. 33.

On the screen shown in FIG. 33, a heading display P21 related to the request of the user Ua, a previous score display P22a, a word display P22b corresponding to the previous score, and a graphic display P22c corresponding to the previous score are displayed. Score display P23a, word display P23b corresponding to this score, graphic display P23c corresponding to this score, evaluation input field P24a of this impression, evaluation input field P24b of this measure, evaluation transmission button P25 It is included.

Further, the screen shown in FIG. 33 includes a photograph of the user Ua captured at the previous time and stored in the memory or the like and a photograph of the user Ua captured at the present time and stored in the memory or the like. May be good. Further, this screen may include a photograph before a predetermined period such as one month ago, and a photograph at the time when a request is input, in place of or in addition to the photograph at the previous time.

When the output control unit detects the pressing operation of the evaluation transmission button P25 via the touch panel 32, it is input to the evaluation input field P24a of the current impression and the evaluation input field P24b of the current measure in STEP805 of FIG. Information including the evaluation of the impression of and the evaluation of this measure is transmitted to the skin support server 10. The skin support server 10 stores information including the evaluation of this impression and the evaluation of this measure in the support DB 20.

[R. Alternative measure recommendation process]
Subsequently, with reference to FIG. 34, an example of the alternative measure recommendation process in STEP 73 of FIG. 7 will be described.

In STEP901 of FIG. 34, the corresponding skin condition recognition unit recognizes the corresponding subjective item corresponding to the request of the user Ua. As described above in STEP 602 of FIG. 28, the corresponding skin condition recognition unit recognizes the corresponding objective item corresponding to the request of the user Ua by referring to the table as shown in FIGS. 29A and 29B, and corresponds to the objective. Corresponding subjective items corresponding to the items may be recognized. Instead of this, the corresponding skin condition recognition unit may recognize the corresponding subjective item corresponding to the request of the user Ua by referring to a table (not shown). Further, the corresponding skin condition recognition unit may recognize both the corresponding objective item and the corresponding subjective item corresponding to the request of the user Ua by referring to the table (not shown).

In STEP 902 of FIG. 34, the user skin condition recognition unit recognizes the score of the corresponding subjective item of the user Ua. The score of the corresponding subjective item of the user Ua can be recognized by the questionnaire, for example, as described above.

In STEP903 of FIG. 34, the user skin condition recognition unit determines whether or not the score of the corresponding subjective item is equal to or less than the subjective threshold value. The subjective threshold value may be a value stored in the skin support server 10 in advance and recognized by communication, or may be a value specified by the user via the touch panel 32.

If the determination result is affirmative (YES in STEP 903 in FIG. 34), the request of the user Ua has not been met. Therefore, in STEP 904 of FIG. 34, the measure recognition unit takes measures to improve the corresponding subjective items. recognize. For example, the measure recognition unit recognizes the measures associated with the corresponding subjective items by referring to a table (not shown).

In STEP905 of FIG. 34, the output control unit outputs information including the recognized measure to the display 31.

When the determination result is negative (NO in STEP903 of FIG. 34), the request of the user Ua is fully met. Therefore, when the determination result is negative (NO in STEP903 of FIG. 34) or after the processing of STEP905 of FIG. 34, the skin support application 35a ends the alternative measure recommendation process.

(Deformation mode)
In the above example, the CPU 35 that executes the skin support application 35a is the "request recognition unit", "measure recognition unit", "output control unit", "other user evaluation recognition unit", "user information recognition unit", and "other user information". It functioned as a "recognition unit", "matching degree recognition unit", "user behavior recognition unit", "behavior evaluation unit", "corresponding skin condition recognition unit", "user skin condition recognition unit", and "replacement unit". The skin support server 10 that loaded the program is the "request recognition unit", "measure recognition unit", "other user evaluation recognition unit", "user information recognition unit", "other user information recognition unit", "matching degree recognition unit", and "user behavior recognition unit". It may function as a part or all of the "behavior evaluation unit", "corresponding skin condition recognition unit", "user skin condition recognition unit", "replacement unit", and a part of the "output control unit". In this case, the CPU 35 that executes the skin support application 35a recognizes the execution result via communication, and the "request recognition unit", "measure recognition unit", "output control unit", "other user evaluation recognition unit", and "user information recognition unit" It can function as the rest of the "other user information recognition unit", "matching degree recognition unit", "user behavior recognition unit", "behavior evaluation unit", "corresponding skin condition recognition unit", "user skin condition recognition unit", and "replacement unit".

In the above example, the CPU 35 that executed the skin support application 35a received various necessary data by communicating with the skin support server 10, but in place of or in addition to this, the CPU 35 that executed the skin support application 35a. However, the process may be executed by referring to the data stored in the storage device of the user terminal 30.

The tables shown in FIGS. 22A to 22C, 26A to 26B, 29A to 29D, and 32A to 32B are stored in the support DB of the skin support server 10, and the skin support application 35a downloads them as needed. The skin support server 10 may receive search information from the skin support application 35a, search the table, and send the search result to the skin support application 35a.

In STEP 101 of FIG. 19, a word or a figure indicating a user Ua's desired impression or mental state may be displayed, and the user Ua may be made to select the user Ua's desired impression or mental state via the touch panel 32. In this case, a specific explanation of the impression or the state of the mind may be added to the words or figures indicating each impression or the state of the mind. For example, specific explanations such as "likely to be inclusive", "looks kind", and "provides a sense of security" may be added to the word "want to be seen as a gentleman". In addition, information on skin condition items related to the impression or mental condition may be output.

Also, in this case, a plurality of impressions or states of mind may be selected.

When multiple selected impressions or states of mind are associated with corresponding objective items of opposite skin conditions (eg, one impression or state of mind is associated with "raising eyes", while. (When other impressions or states of mind are associated with "lowering the eyes"), the Measures Recognition Department is to improve the corresponding objective or subjective items that are common to multiple selected impressions or states of mind. You may be aware of the measures.

Further, when the user Ua selects the impression or the state of the mind of 1 from the impression or the state of the mind of the user Ua via the touch panel 32, the output control unit responds to the impression or the state of the mind of the user Ua. Other impression or state of mind options associated with the corresponding objective or corresponding subjective items that are inconsistent with the objective item may be invalidated.

Multiple impressions or states of mind may be associated with a product, service, impression or self-confidence word or figure or user attribute.

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, 35
a ... skin support app, 36 ... memory, 40 ... connection terminal, 45 ... measuring device.

The present invention also relates to the information output system on the care of the skin condition.

The information output system of the present invention is
An output section that outputs information and
And user skin state recognition unit recognizes the skin condition of Yu over The,
A replacement unit that replaces the user's skin condition recognized by the user skin condition recognition unit with a figure, word, or score indicating the impression of the user or the state of the user's mind.
It is characterized by including an output control unit that outputs a replaced figure, word or score indicating the impression of the user or the state of the user's mind to the output unit.

According to the information output system of the structure, the skin condition of the skin condition of the reusable The by the user skin condition recognizing section it is recognized. Then, the replacement unit replaces the skin condition of the user's skin condition recognized by the user skin condition recognition unit with a figure, a word, or a score indicating the impression of the user or the state of mind of the user. Then, the information output unit outputs a figure, a word, or a score indicating the impression of the user or the state of the user's mind to the output unit. This makes it possible for the user to recognize the user's impression or the user's mental state according to the skin condition of the user's skin condition. Even if the user does not have sufficient knowledge about the skin condition, it is easy for the user to understand if it is a figure, a word or a score that matches the impression of the user or the state of mind of the user.

In the information output system of the said configuration
There are a plurality of types of the user's impression or the user's state of mind.
The skin condition of the user is represented by a plurality of scores.
Based on the type of impression of the user or the type of mental state of the user and the plurality of scores, the replacement unit sets the skin condition of the user to the type of impression of the user or the type of mental state of the user. It is preferable that it is configured to be replaced with a figure, a word or a score corresponding to.

In the information output system of the said configuration
The replacement unit, the weighted average of the plurality of score is calculated in accordance with the coefficient corresponding to the type of the state of mind of the type or the user of the impression of the user, based on the average scores weighted, the user It is preferable that the skin condition is configured to be replaced with a figure, a word or a score corresponding to the type of the user's impression or the type of the user's mental state.

According to the information output system of the structure, the weighted average of the plurality of scores is calculated in accordance with the coefficient corresponding to the type of the state of mind of the type or the user of the impression of the user, the heavy Mizuno only averaged scores Based on this , the user's skin condition is replaced with a figure, word, or score corresponding to the type of the user's impression or the type of the user's mental state. As a result, the figure, word, or score indicating the impression of the user or the state of mind of the user according to each type is replaced.

Claims (17)

An input unit that detects user input and
An output section that outputs information and
A request recognition unit that recognizes a request regarding the user's impression or the user's state of mind based on the information input via the input unit, and the request recognition unit.
The measure recognition unit that recognizes the measures to realize the user's impression or the request regarding the user's state of mind, and
An information output system including an output control unit that outputs information including measures recognized by the measure recognition unit to the output unit. In the information output system according to claim 1,
The information indicating the request regarding the user's impression includes the designation of the impression received by a person different from the user when the user is viewed, the designation of the impression received by the user when the user sees himself, or the above. An information output system characterized in that information indicating a request regarding a user's state of mind includes the designation of the user's self-confidence. In the information output system according to claim 1 or 2.
An information output system, characterized in that the information indicating the request is information for designating a product or service related to the request of the user's impression or state of mind. In the information output system according to claim 3,
The information including the measures is characterized by including a method of using the product or a method of enjoying the service, and a measure for realizing the request different from the method of using the product or the method of enjoying the service. Information output system. In the information output system according to any one of claims 1 to 4,
It is an evaluation by the other user whether the other user's request, which is a request of another user different from the user, another user's measure, which is a measure executed by the other user, and whether the other user's request is realized by the other user's measure. Equipped with another user evaluation recognition unit that recognizes other user evaluations
The measure recognition unit is an information output system characterized in that the measure recognition unit is configured to recognize the measure based on the other user measure for the other user request that is the same as the user's request and the evaluation of the other user. In the information output system according to any one of claims 1 to 5,
A user information recognition unit that recognizes user information that is at least one of the user life information indicating the user's life, the user attribute information indicating the user's attribute, and the user constitution information indicating the user's constitution.
Other user life information indicating the life of another user different from the user, other user attribute information indicating the attribute of the other user, and other user information indicating at least one of the constitution of the other user. , The other user information recognition unit that recognizes the request of the other user and the measure implemented or implemented by the other user,
By comparing the user information recognized by the user information recognition unit with the other user information recognized by the other user information recognition unit for each other user, the life of the user, the attributes of the user, or the above It is provided with a matching degree recognition unit that recognizes the degree of matching, which is the degree of matching between the user's constitution and the life of the other user, the attribute of the other user, or the constitution of the other user.
The measure recognition unit recognizes the measure based on the other user's measure and the other user's evaluation of the other user who has the same request as the user's request and whose degree of matching is equal to or higher than a predetermined value. An information output system characterized by being configured. In the information output system according to any one of claims 1 to 6,
A user behavior recognition unit that recognizes the user's behavior based on the user's behavior data input via the input unit, and
When the user's impression changes according to the user's behavior or the state of mind of the user changes so as to realize the user's request, the priority of the user's behavior is highly evaluated, and the user's behavior is evaluated. It is provided with an action evaluation unit that evaluates the priority of the user's action low when the change in the impression of the user or the state of mind of the user changes so as to be separated from the realization of the request of the user. ,
The measure recognition unit is an information output system characterized in that it is configured to recognize an action whose priority is equal to or higher than a predetermined priority threshold value as the measure. In the information output system according to any one of claims 1 to 7.
A corresponding skin condition recognition unit for recognizing a corresponding item which is an item of the user's skin condition related to the impression of the user or the state of mind of the user shown in the request recognized by the request recognition unit is provided.
The measure recognition unit is an information output system characterized by recognizing measures for improving the corresponding items. In the information output system according to claim 8,
The corresponding skin condition recognition unit recognizes a subjective user's skin condition item related to the user's impression or mental state, and an objective user's skin condition related to the subjective user's skin condition item. Recognize the item of
The measure recognition unit is an information output system characterized in that it is configured to recognize measures for improving objective items of the user's skin condition. In the information output system according to claim 8,
The corresponding skin condition recognition unit recognizes an objective user's skin condition item related to the user's impression or mental condition, and recognizes a subjective skin condition item related to the objective skin condition item. death,
The measure recognition unit is an information output system characterized in that it is configured to recognize measures for improving subjective user's skin condition items. In the information output system according to claim 8,
The corresponding skin condition recognition unit recognizes subjective user skin condition items and objective user skin condition items related to the user's impression or mental state.
The measure recognition unit is an information output system characterized in that it is configured to recognize measures for improving both the subjective skin condition item and the objective skin condition item. In the information output system according to any one of claims 1 to 11.
The request recognition unit is an information output system characterized in that it is configured to recognize the request according to the attribute of the user input by the input unit. An output section that outputs information and
The user skin condition recognition unit that recognizes the user's skin condition,
A replacement unit that replaces the user's skin condition recognized by the user skin condition recognition unit with a figure, word, or score indicating the impression of the user or the state of the user's mind.
An information output system comprising an output control unit that outputs a replaced figure, word, or score indicating the impression of the user or the state of the user's mind to the output unit. In the information output system according to claim 13,
There are a plurality of types of the user's impression or the user's state of mind.
The skin condition of the user is represented by a plurality of scores.
The replacement unit corresponds to the user's skin condition according to the user's impression type or the user's mental state type based on the user's impression type or the user's mental state and the plurality of scores. An information output system characterized in that it is configured to replace a figure, word, or score. In the information output system according to claim 14,
The replacement unit weights the plurality of scores according to a coefficient according to the type of the user's impression or the type of the user's mental state and calculates an average to obtain the user's skin condition as the user's impression. An information output system characterized in that it is configured to be replaced with a figure, a word, or a score corresponding to the type or the type of the state of mind of the user. An input unit that detects user input and
It is a method executed by a system equipped with an output unit that outputs information.
A step of recognizing a request regarding the user's impression or the user's state of mind based on the information input via the input unit, and
The step of recognizing the measures for realizing the user's impression or the request regarding the user's state of mind, and
An information output method including a step of outputting information including a measure recognized by the measure recognition unit to the output unit. An input unit that detects user input and
In a system equipped with an output unit that outputs information,
A step of recognizing a request regarding the user's impression or the user's state of mind based on the information input via the input unit, and
The step of recognizing the measures for realizing the user's impression or the request regarding the user's state of mind, and
An information output program characterized by executing a step of outputting information including a measure recognized by the measure recognition unit to the output unit.

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