JP2022113468A - Information processing apparatus, information processing method, and information processing program - Google Patents

Abstract

To provide an appropriate commodity to a user.SOLUTION: An information processing apparatus includes: a calculation unit which calculates scores indicating a degree of matching between a size of a commodity corresponding to a section of a user and the size of the section, on the basis of an analysis result obtained by analyzing a body shape of the user and user information on the user, for each combination of the size of the commodity and the section; and a provision unit which provides commodity information on the commodity of one size to the user when a sum of the scores calculated for each section in the one size of the commodity satisfies a predetermined condition.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

2. Description of the Related Art Conventionally, there has been known a proposed technique for presenting information representing recommended absorbent articles based on information received from a user (for example, body type information about the user's body type).

Japanese Patent Application Laid-Open No. 2020-004300

However, the conventional technology described above only presents information representing recommended absorbent articles based on the user's body type information and the like received from the user. Therefore, there may be a case where the body shape of the user may fluctuate over time, or a case where the appropriate product may not be provided if the user's own body shape is misunderstood.

The present application has been made in view of the above, and aims to provide appropriate products to users.

The information processing device according to the present application determines that the size of the product corresponding to the part of the user corresponds to the size of the part, based on the analysis result of analyzing the body shape of the user and the user information on the user. A calculation unit that calculates a score indicating the degree of and a providing unit for providing the user with product information about the product of the one size.

According to one aspect of the embodiment, appropriate products can be provided to the user.

FIG. 1 is a diagram illustrating an example of provision processing executed by an information processing apparatus according to an embodiment; FIG. 2 is a diagram showing an example of a combination of size and part according to the embodiment. FIG. 3 is a diagram illustrating an example of a configuration of an information processing system according to the embodiment; 4 is a diagram illustrating an example of a user information storage unit according to the embodiment; FIG. 5 is a diagram illustrating an example of a score information storage unit according to the embodiment; FIG. 6 is a diagram illustrating an example of a product information storage unit according to the embodiment; FIG. FIG. 7 is a flowchart illustrating an example of the flow of providing processing executed by the information processing apparatus according to the embodiment; FIG. 8 is a diagram showing a specific example of content according to the embodiment. FIG. 9 is a diagram showing a specific example of content according to the embodiment. FIG. 10 is a diagram illustrating an example of a hardware configuration;

At least the following matters will become apparent from the descriptions of this specification and the accompanying drawings.

Based on the results of analysis of the user's body shape and user information about the user, a score indicating the degree to which the size of the product corresponding to the user's body part corresponds to the size of the body part of the product and a calculation unit that calculates for each combination of the size and the part, and if the sum of the scores calculated for each part in the one size of the product satisfies a predetermined condition, the one size is the An information processing apparatus, comprising: a provision unit for providing the user with product information on a product.

According to such an information processing device, the size of the product corresponding to the user's body part corresponds to the size of the body part based on the analysis result of the user's body shape and the user information on the user. A score indicating the degree is calculated for each combination of product size and part. For example, the information processing device calculates a score for each combination of product sizes such as S, M, and L and parts such as legs, buttocks, and abdomen. Here, the leg opening refers to, for example, the groin area, the thigh area, and the like.

For example, the information processing device calculates the scores corresponding to the leg opening, the stomach, and the buttocks in the S size. Then, the information processing device sums the score corresponding to the leg opening, the score corresponding to the abdomen, and the score corresponding to the buttocks, and calculates the total score. Similarly, the information processing device calculates the total score for the M and L sizes. Thereby, the information processing device can calculate a score for selecting an appropriate product for the user.

Then, when the sum of the scores calculated for each part of the product of one size satisfies a predetermined condition, the information processing device provides the user with product information related to the product of one size. For example, the information processing device selects a diaper size whose total score is equal to or greater than a predetermined threshold. The information processing device then provides information on the diaper of the selected size. Thereby, the information processing device can provide appropriate products to the user. For example, when the user uses diapers, the information processing device can provide appropriate diapers that prevent rashes on the legs and stomach.

Further, the information processing device provides the product information of the one size to the user when, as the predetermined condition, the sum of the scores is equal to or greater than a predetermined threshold.

According to such an information processing apparatus, as a predetermined condition, when the sum of scores is equal to or greater than a predetermined threshold value, the product information of one size is provided to the user. can provide the goods.

Further, the information processing device changes the weight for multiplying the coefficient determined by the combination of the product size and the part based on the analysis result and the user information, and changes the weight for each combination. and each of the coefficients for each combination, a score indicating the degree to which one size of the product corresponding to the part corresponds to the size of the part is calculated for each combination.

According to such an information processing apparatus, the weight for multiplying the coefficient determined by the combination of the product size and the user's part is changed based on the analysis result and the user information. For example, the part of the user is the leg opening, the buttocks, the abdomen, or the like, which corresponds to the thickness of the thigh, as a characteristic part that the user comes into contact with when using the product. Then, based on each weight for each combination and each coefficient for each combination, the information processing device generates a score indicating the degree to which one size of the product corresponding to the part corresponds to the size of the part for each combination. calculate.

Thereby, the information processing device can calculate a score for selecting an appropriate product for the user. For example, when a child or an elderly person uses diapers, the information processing apparatus can select diapers that prevent redness and rashes caused by rubbing the diapers against the legs and stomach.

Further, the information processing device multiplies each of the coefficients determined for each combination of the dimension indicated by the part and the size of the product, and each of the weights for each combination as the score. calculate.

According to such an information processing device, as a score, a score is calculated by multiplying each coefficient determined for each combination of the dimension indicated by the part and the size of the product, and each weight for each combination. Therefore, an appropriate product can be selected according to the calculated score.

Also, the information processing device acquires the user information.

According to such an information processing device, in order to acquire user information related to the user, it is possible to acquire various types of information for providing suitable products.

Further, the information processing device acquires attribute information about the attribute of the user as the user information, and changes the weight based on the analysis result and the attribute information.

According to such an information processing device, attribute information of the user is acquired as user information, and the weight is changed based on the analysis result and the attribute information. You can choose the right product.

Further, the information processing device acquires skin information related to the user's skin as the user information, and changes the weight based on the analysis result and the skin information.

According to such an information processing apparatus, the user's skin information is acquired as the user information, and the weight is changed based on the analysis result and the skin information. You can choose the right product.

Further, the information processing device acquires body shape variation information relating to body shape variation of the user as the user information, and changes the weight based on the analysis result and the body shape variation information.

According to such an information processing device, body shape variation information of the user is acquired as user information, and weights are changed based on the analysis results and the body shape variation information. You can select the appropriate product according to your needs.

Further, the information processing device acquires an analysis result obtained by analyzing the body shape of the user.

According to such an information processing apparatus, since an analysis result obtained by analyzing the body shape of the user is obtained, various information for providing appropriate products can be obtained.

Further, the information processing device predicts changes in the body shape of the user based on the analysis result, and provides the user with product information corresponding to the size based on the predicted change in body shape.

According to such an information processing device, based on the analysis result, the user's body shape variation is predicted, and product information corresponding to the size based on the predicted body shape variation is provided to the user. We can provide suitable products for

Further, the information processing device predicts that the body type of the user will be larger than the current body type based on the analysis result, and determines a size larger than the size corresponding to the current body type based on the predicted prediction result. to provide the user with product information corresponding to

According to such an information processing apparatus, based on the analysis result, it is predicted that the body shape of the user will be larger than the current body shape, and based on the predicted prediction result, the size corresponding to the current body shape is predicted. Since product information corresponding to the size is provided to the user, appropriate products can be provided to the user.

Further, the information processing device predicts that the body shape of the user will be smaller than the current body shape based on the analysis result, and determines a size smaller than the size corresponding to the current body shape based on the predicted prediction result. to provide the user with product information corresponding to

According to such an information processing apparatus, based on the analysis result, it is predicted that the body shape of the user will be smaller than the current body shape, and based on the predicted prediction result, the size is smaller than the size corresponding to the current body shape. Since product information corresponding to the size is provided to the user, appropriate products can be provided to the user.

Further, when the sum of the scores is equal to or greater than a predetermined threshold, the information processing device selects a product type corresponding to the one size and provides product information belonging to the product type to the user. .

According to such an information processing device, when the sum of scores is equal to or greater than a predetermined threshold, a product type corresponding to one size is selected, and product information belonging to the product type is provided to the user. , it is possible to provide appropriate products to users.

Further, the information processing device selects one type of the product based on the user information, and provides the user with product information belonging to the one type.

According to such an information processing device, one type of product is selected based on user information, and product information belonging to the one type is provided to the user. products can be provided.

In addition, the information processing device provides the user with information on a product that is both a wearable article and an absorbent article as the product information.

According to such an information processing apparatus, as product information, information on products that are wearable articles and absorbent articles is provided to the user, so that appropriate products can be provided to the user. can.

Further, the information processing device provides the user with a message corresponding to the user information together with the product information.

According to such an information processing apparatus, since a message according to the user information is provided to the user along with the product information, appropriate products can be provided to the user.

Based on the results of analysis of the user's body shape and user information about the user, a score indicating the degree to which the size of the product corresponding to the user's body part corresponds to the size of the body part of the product and a calculation unit that calculates for each combination of the size and the part, and if the sum of the scores calculated for each part in the one size of the product satisfies a predetermined condition, corresponds to the one size An information processing apparatus, comprising: a providing unit that selects a product type and provides the user with type information about the product type.

According to such an information processing device, when the sum of scores calculated for each part in one size of a product satisfies a predetermined condition, the type of product corresponding to one size is selected, and the type of product is selected. provide users with type information about

For example, the information processing device may select one type of diaper from tape type, pants type, night use, and training use, and provide type information about the one type to the user. For example, the information processing device provides type information such as a tape type when the user cannot stand or walk. On the other hand, the information processing device provides type information such as pants type when the user can stand or walk. In this way, the information processing device distributes the selected type information to the user. Thereby, the information processing device can provide appropriate product type information to the user.

An example of a form (hereinafter referred to as "embodiment") for implementing an information processing apparatus, an information processing method, and an information processing program will be described in detail below with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program are not limited by this embodiment. Also, in the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[Embodiment]
[1. Example of information processing indicated by information processing device]
An example of the providing process executed by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of provision processing executed by an information processing apparatus 100 according to an embodiment.

In the example of FIG. 1 , the information processing apparatus 100 adds up the scores calculated for each part of the user in one size of the product, calculates the total score, and calculates the total score if the total score is equal to or greater than a predetermined threshold. An example of providing a user with product information about size products will be described. Here, the product is a wearing article and an absorbent article. In the example of FIG. 1, an example in which the product is diapers will be described.

First, as shown in FIG. 1, the information processing device 100 receives a request for providing product information from the terminal device 10 (step S1). Here, the terminal device 10 is used by parents or the like when the user is a child such as an infant. In addition, when the user is an elderly person, the terminal device 10 is used by a family member, a caregiver, or the like.

Subsequently, the terminal device 10 transmits an image of the body shape of the user to the external server 20 (step S2). For example, assume that the user is a child. In this case, one of the child's parents operates the terminal device 10 to photograph the child. Then, the terminal device 10 photographs the front and sides of the child while the child is wearing clothes. The terminal device 10 also transmits the front and side images of the child to the external server 20 . At this time, the terminal device 10 may transmit a plurality of front and side images to the external server 20 .

It should be noted that the posture of the child when being photographed may be any posture. Also, the child, if photographed, may be in motion. In this case, the terminal device 10 may capture a plurality of images according to the movement of the child. For example, if the child is able to walk, the terminal device 10 may have the child roll forward and capture a plurality of images in accordance with the movement of the forward roll. Also, although the example in which the image is captured by one of the child's parents has been described, the present invention is not limited to this. For example, it may be photographed by a camera or the like installed in front of a mirror.

For example, assume that the user is an elderly person. In this case, the elderly person's family or caregiver operates the terminal device 10 to photograph the elderly person. Then, the terminal device 10 photographs the front and the side of the elderly person while the elderly person is wearing clothes. In addition, the terminal device 10 transmits front and side images of the elderly person to the external server 20 . At this time, the terminal device 10 may transmit a plurality of front and side images to the external server 20 .

Then, the external server 20 generates the body type data of the user as an analysis result of the received image using a conventional technique such as image analysis. For example, the external server 20 generates three-dimensional body shape data such as a human body model based on the received front and side images.

Subsequently, the information processing device 100 acquires the analysis result from the external server 20 (step S3). For example, the information processing apparatus 100 acquires body shape data from the external server 20 as an analysis result.

The information processing device 100 also acquires user information from the database server 30 (step S4). For example, the information processing apparatus 100 acquires, as user information, attribute information regarding user attributes such as the user's sex or age, physical ability of the user, and skin information regarding the user's skin from the database server 30. do.

Then, the information processing device 100 changes the weight based on the analysis result and the user information (step S5). Specifically, the information processing apparatus 100 changes the weight for multiplying the coefficient determined by the combination of the product size and the user's part based on the analysis result and the user information. Here, the part of the user is the part that the user comes into contact with when using the product. For example, the part of the user is the legs, buttocks, stomach, or the like.

For example, assume that the user is a child and has sensitive skin. In this case, the information processing apparatus 100 changes the weights corresponding to the legs, the buttocks, and the abdomen based on the body shape data of the child and the skin information among the user information. For example, the information processing apparatus 100 changes the weights corresponding to the legs and stomach to high weights based on the skin information indicating that the user has weak skin. Accordingly, when a child uses a diaper, the information processing apparatus 100 can select a diaper that prevents redness and rash caused by rubbing of the diaper with the legs and stomach.

For example, assume that the user is an elderly person with sensitive skin. In this case, the information processing apparatus 100 changes the weights corresponding to the legs, the buttocks, and the abdomen based on the body shape data of the elderly person and the skin information of the user information. For example, the information processing apparatus 100 changes the weights corresponding to the legs and stomach to high weights based on the skin information indicating that the user has weak skin. As a result, the information processing apparatus 100 can select diapers that prevent rashes on the legs and stomach when elderly people use diapers.

Subsequently, the information processing device 100 calculates a score for each combination of product size and part (step S6). Specifically, the information processing apparatus 100 calculates a score for each combination of product sizes such as S, M, and L and parts such as parts P1, P2, and P3. That is, information processing apparatus 100 calculates score SC1, score SC2, and score SC3 corresponding to part P1, part P2, and part P3, respectively, in S size.

In this way, the information processing apparatus 100 calculates scores corresponding to the leg opening, the stomach, and the buttocks, respectively, for the S size, for example. In addition, the information processing apparatus 100 calculates scores corresponding to each of the leg opening, the stomach, and the buttocks in the M size. In addition, the information processing apparatus 100 calculates scores corresponding to the leg opening, the abdomen, and the buttocks of the L size.

Here, the score calculation method will be described with reference to FIG. FIG. 2 is a diagram showing an example of a combination of size and part according to the embodiment. FIG. 2 shows combinations of each of the sizes S, M, and L with each of the sites such as site P1, site P2, and site P3, and shows the score corresponding to each combination and the total score for each size. . In the following description, in the example of FIG. 2, the part P1, the part P2, and the part P3 correspond to the leg opening, the buttocks, and the abdomen, respectively.

Here, the coefficient is a value determined in advance by a business operator who manages the information processing device 100 . For example, a factor is a value determined from a combination of size and site dimensions. To give a more specific example, when the size is S and the circumference of the leg is 26 cm, the coefficient is "0.5". Also, when the size is M and the leg circumference is 26 cm, the coefficient is "1.0". Also, when the size is L and the leg circumference is 26 cm, the coefficient is "0.5".

A weight is a weight for multiplying a coefficient corresponding to a combination of size and part. The weight is changed to an appropriate weight based on the analysis result of the user's body shape and the user information, as described in step S5.

In the example of FIG. 2, the information processing apparatus 100 calculates the score "SC1" by multiplying the coefficient "CF1" determined from the S size and the circumference of the leg by the weight "WE1". Further, the information processing apparatus 100 multiplies the coefficient "CF2" determined from the S size and the size around the buttocks by the weight "WE2" to calculate the score "SC2". Further, the information processing apparatus 100 calculates a score "SC3" by multiplying a coefficient "CF3" determined from the S size and the circumference of the abdomen by a weight "WE3". Then, the information processing apparatus 100 sums the score "SC1", the score "SC2", and the score "SC3", and calculates the total score "SSC1".

In the same manner as the calculation method described above, the information processing apparatus 100 calculates the total score “SSC2” for the M size and the total score “SSC3” for the L size. In this way, the information processing apparatus 100 calculates a total score after taking user information into consideration according to a characteristic part that is touched when using a product. Thereby, the information processing apparatus 100 can select an appropriate product for the user.

Returning to the description of FIG. The information processing apparatus 100 sums up the scores calculated for each part in one size, and calculates the summed score (step S7). As described using the example of FIG. 2, the information processing apparatus 100 calculates the total score corresponding to each size.

Then, the information processing apparatus 100 selects the M size for which the total score is equal to or greater than a predetermined threshold (step S8). For example, assume that the score for the S size is "1.5", the score for the M size is "3.0", and the score for the L size is "2.5". In this case, the information processing apparatus 100 selects the M size indicating a score equal to or higher than the predetermined threshold "3.0".

In addition, embodiment is not limited to the said example. For example, the information processing apparatus 100 may select the size with the highest score among the summed scores. For example, assume that the score for the S size is "1.5", the score for the M size is "3.0", and the score for the L size is "2.5". In this case, the information processing apparatus 100 may select the M size with the highest score.

In addition, when there are two or more sizes with the highest scores among the summed scores, the information processing apparatus 100 may select the larger size. For example, assume that the score for the S size is "1.5", the score for the M size is "2.5", and the score for the L size is "2.5". In this case, the information processing apparatus 100 may select the L size from the M size with the highest score and the L size.

Subsequently, the information processing device 100 provides product information for the M size (step S9). For example, the information processing device 100 provides the terminal device 10 with information on M size diapers. Thereby, the information processing apparatus 100 can provide appropriate products to the user.

The conventional technology only presents information representing recommended absorbent articles based on the user's body type information received from the user. Therefore, there may be a case where the body shape of the user may fluctuate over time, or a case where the appropriate product may not be provided if the user's own body shape is misunderstood. Therefore, there is room for providing appropriate products without relying on the user's judgment.

Therefore, the information processing apparatus 100 according to the embodiment adds a weight for multiplying a coefficient determined by a combination of the product size and the user's body part based on the analysis result of the user's body shape. change. For each combination, the information processing device 100 calculates a score indicating the degree to which the size of the product corresponding to the part corresponds to the size of the part, based on each weight for each combination and each coefficient for each combination. Calculate to Then, the information processing apparatus 100 provides the product information of one size to the user when the sum of the scores calculated for each part in one size satisfies a predetermined condition. Thereby, the information processing apparatus 100 solves the conventional problem. Thus, the information processing apparatus 100 can provide appropriate products to the user.

[2. Configuration of information processing system]
Next, the configuration of the information processing system 1 according to the embodiment will be described using FIG. FIG. 3 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 3 , the information processing system 1 includes a terminal device 10 , an external server 20 and an information processing device 100 . The terminal device 10, the external server 20, the database server 30, and the information processing device 100 are communicatively connected via a network N by wire or wirelessly. The information processing system 1 shown in FIG. 3 may include a plurality of terminal devices 10, a plurality of external servers 20, a plurality of database servers 30, and a plurality of information processing devices 100. .

The terminal device 10 according to the embodiment is an information processing device used by a user who accesses content such as web content displayed on a browser and content for applications. In addition, the terminal device 10 has a camera function, and can shoot an object using an in-camera or an out-camera.

For example, the terminal device 10 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or the like.

The external server 20 according to the embodiment is an information processing device that provides various types of information, and is realized by, for example, a server device or a cloud system. For example, the external server 20 analyzes an image showing the body shape of the user captured by the user and provides the analysis result to the information processing apparatus 100 .

Also, the external server 20 may function like a database server. For example, the external server 20 receives an analysis result obtained by analyzing an image showing the body shape of the user by an application pre-installed in the terminal device 10, and stores the analysis result in a predetermined storage unit. Then, the external server 20 provides the information processing device 100 with the analysis result. It should be noted that the external server 20 may provide various types of information other than the analysis result of the image. For example, the external server 20 may store any information as long as it characterizes the body shape of the user. Then, the external server 20 may provide the information processing device 100 with information that characterizes the body shape of the user.

The database server 30 according to the embodiment is an information processing device that provides various types of information, and is realized by, for example, a server device or a cloud system. For example, the database server 30 provides user information to the information processing device 100 . For example, the database server 30 acquires user information from the terminal device 10 every predetermined period (for example, one minute). In addition, the database server 30 acquires user attribute information, user's physical ability, user's skin information, etc. from the terminal device 10 as user information. The database server 30 then stores the user information in a predetermined storage unit. The database server 30 then provides the information processing apparatus 100 with the user information. Note that the database server 30 may receive user information from the information processing device 100 . For example, the database server 30 may receive user information from the information processing device 100 when the information processing device 100 acquires user information from the terminal device 10 .

The information processing device 100 according to the embodiment is an information processing device that can communicate with various devices via a predetermined network N such as the Internet, and is realized by, for example, a server device or a cloud system. For example, the information processing device 100 is communicably connected to various other devices via a network N. FIG.

[3. Configuration of Information Processing Device]
Also, the configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 3, the information processing apparatus 100 has a communication section 110, a storage section 120, and a control section .

(Regarding communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network N by wire or wirelessly, and transmits and receives information to and from other various devices.

(Regarding storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or flash memory, or a storage device such as a hard disk or an optical disk. For example, the storage unit 120 has a user information storage unit 121 , a score information storage unit 122 and a product information storage unit 123 .

(Regarding the user information storage unit 121)
The user information storage unit 121 according to the embodiment stores various information about users. Here, FIG. 4 shows an example of the user information storage unit 121 according to the embodiment. In the example shown in FIG. 4, the user information storage unit 121 has items such as "user ID (Identifier)" and "user information". For example, the user information includes items such as "attribute information", "physical ability", "skin information", "body shape change information", and "body shape change prediction information". "Attribute information" includes items such as "gender" and "age".

"User ID" is an identifier that identifies a user. Among the "attribute information", "gender" is information about the gender of the user associated with the "user ID". Among the "attribute information", "age" is information about the age of the user associated with the "user ID".

"Physical ability" is information about the physical ability of the user associated with the "user ID". For example, if the user is a child, the physical ability is information regarding the ability to crawl, stand, or walk while lying down. In addition, when the user is an elderly person, the physical ability is the ability to walk, the ability to stand, the ability to walk with a bent waist, the ability to stand with a bent waist, or the ability to be bedridden. etc.

"Skin information" is information about the user's skin associated with the "user ID". For example, the skin information is information indicating dry skin, oily skin, or the like, which is easily roughened. In addition, the skin information may include the degree of skin roughness and the like for one product.

"Body shape change information" is information about the change in body shape of the user associated with the "user ID". For example, the body shape change information is information indicating that the body shape changes before and after eating or before and after excretion. As another example, assume that the user is an elderly person. In this case, you may be given a laxative when excretion is difficult. In this way, the body shape may change after taking laxatives. In such a case, the body shape change information is information indicating that the body shape will change after taking the laxative.

"Body shape change prediction information" is information about how the body shape of the user associated with the "user ID" will change in the future. For example, when the user is a child, the body shape change prediction information is information related to the child's growth curve predicted by acquiring analysis results of the child's body shape over time. In addition, when the user is an elderly person, the body shape change prediction information is information indicating a function related to changes in the body shape of the elderly predicted by acquiring analysis results of the body shape of the elderly over time.

For example, in FIG. 4, "U1" identified by the user ID has sex "SE1", age "OL1", physical ability "PC1", and skin information "SK1". be. For "U1", the body shape variation information is "BV1" and the body shape variation prediction information is "BP1".

In the example shown in FIG. 4, the gender and the like are represented by abstract codes such as "SE1", but the gender and the like are character strings and file formats of files containing information indicating the gender. good too. Also, the age and the like may be other than the above examples, and may be, for example, numbers.

(Regarding the score information storage unit 122)
The score information storage unit 122 according to the embodiment stores score information regarding scores. Here, FIG. 5 shows an example of the score information storage unit 122 according to the embodiment. In the example shown in FIG. 5, the score information storage unit 122 has items such as "score ID", "size", "part", "coefficient", "weight", "score", and "total score".

"Score ID" is an identifier that identifies a score. "Size" is information about the size of the product associated with the "score ID". "Part" is information about the user's part associated with the "score ID". For example, the part is the user's legs, buttocks, stomach, or the like.

The "coefficient" is information related to a coefficient determined by a combination of the product size associated with the "score ID" and the user's body part. For example, the coefficient is a value or the like determined in advance by a business operator who manages the information processing device 100 . “Weight” is information about the weight corresponding to the coefficient associated with “score ID”.

"Score" is information about the score associated with the "score ID". The “total score” is information related to the score obtained by summing the scores calculated for each part in one size associated with the “score ID”.

For example, in FIG. 5, "SA1" identified by the score ID has a size of "S", a part of "P1", a coefficient of "CF1", a weight of "WE1", and a score of is "SC1", and the total score is "SSC1".

In the example shown in FIG. 5, the parts and the like are represented by abstract codes such as "P1", but the parts and the like are character strings and file formats containing information indicating the parts. good too. Also, coefficients, weights, scores, and total scores may be other than the above examples, and may be numbers, for example.

(Regarding product information storage unit 123)
The product information storage unit 123 according to the embodiment stores product information related to products. Here, FIG. 6 shows an example of the product information storage unit 123 according to the embodiment. In the example shown in FIG. 6, the product information storage unit 123 has items such as "product ID" and "product information". For example, "merchandise information" includes items such as "type", "size", "merchandise", and "merchandise features".

"Product ID" is an identifier for identifying a product. “Type” is information about the product type associated with the “product ID”. For example, the type is a tape type, a pants type, a training type, a night type, and the like. "Size" is information about the size of the product associated with the "product ID". For example, the size is S, M, L, or the like.

"Product" is information about the name of the product associated with the "product ID". "Product features" is information about the features of the product associated with the "product ID". For example, the characteristics of products are easy to absorb, comfortable to wear, and less likely to cause rough skin.

For example, in FIG. 6, "M1" identified by the product ID has a type of "TY1", a size of "SI1", a product of "MA1", and a product feature of "MF1". .

In the example shown in FIG. 6, the type and the like are represented by abstract codes such as "TY1", but the type and the like are character strings and file formats of files including information indicating the type. good too.

(Regarding the control unit 130)
The control unit 130 is a controller, and for example, various programs (information processing programs) stored in a storage device inside the information processing apparatus 100 are controlled by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. (equivalent to one example) is implemented by executing the RAM as a work area. Also, the control unit 130 is a controller, and is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 130 includes a reception unit 131, an acquisition unit 132, a change unit 133, a calculation unit 134, a prediction unit 135, and a provision unit 136, and has information described below. Realize or perform the function or action of a process. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it performs information processing described later. Moreover, the connection relationship between the processing units of the control unit 130 is not limited to the connection relationship shown in FIG. 3, and may be another connection relationship.

(Regarding the reception unit 131)
The reception unit 131 receives various information. For example, the reception unit 131 receives a request for providing product information from the terminal device 10 .

(Regarding the acquisition unit 132)
Acquisition unit 132 acquires various types of information. For example, the acquisition unit 132 acquires the analysis result from the external server 20 . For example, the acquisition unit 132 acquires three-dimensional body shape data such as a human body model from the external server 20 as an analysis result.

Alternatively, the acquiring unit 132 may extract the dimensions of the contact portion of the diaper from the body type data instead of the body type data, and acquire information about the extracted dimensions. For example, the acquisition unit 132 may acquire information regarding the dimensions of the circumference of the leg, the circumference of the buttocks, and the circumference of the abdomen. Further, the acquisition unit 132 may acquire information on the positional relationship of the hip joints and information on the distance from the navel to the crotch in addition to the dimensions of the leg circumference, the buttocks circumference, and the abdomen circumference.

The acquisition unit 132 also acquires user information from the database server 30 . For example, the acquisition unit 132 acquires, as user information, attribute information regarding user attributes such as the user's gender or age, user physical ability, skin information regarding the user's skin, and the like from the database server 30. . Then, the acquisition unit 132 stores this user information in the user information storage unit 121 .

(About change unit 133)
The changing unit 133 changes the weight for multiplying the coefficient determined by the combination of the product size and the user's body part based on the analysis result of the user's body shape analysis and the user information. do.

For example, assume that the user is a child and has sensitive skin. In this case, the changing unit 133 changes the weights corresponding to the legs, the buttocks, and the abdomen based on the body shape data of the child and the skin information of the user information. For example, the changing unit 133 changes the weights corresponding to the legs and stomach to high weights based on the skin information indicating that the user has weak skin. Then, the changing unit 133 updates the weights stored in the score information storage unit 122 to the changed weights.

For example, assume that the user is an elderly person with sensitive skin. In this case, the information processing apparatus 100 changes the weights corresponding to the legs, the buttocks, and the abdomen based on the body shape data of the elderly person and the skin information of the user information. For example, the information processing apparatus 100 changes the weights corresponding to the legs and stomach to high weights based on the skin information indicating that the user has weak skin. Then, the changing unit 133 updates the weights stored in the score information storage unit 122 to the changed weights. In this way, the calculation unit 134 can change the weight to an appropriate one after taking user information into consideration according to the characteristic part that the user comes into contact with when using the product.

(Regarding the calculator 134)
The calculation unit 134 calculates the weight for each combination of the size of the product and the part of the user, and the coefficient for each combination of the size of the product and the part of the user. A score indicating the degree to which one size of the product corresponds to the size of the part is calculated for each combination of the size of the product and the part of the user.

For example, the calculation unit 134 calculates a score for each combination of product sizes S, M, and L and parts P1, P2, and P3. The calculation unit 134 then stores the calculated score in the score information storage unit 122 .

In the example of FIG. 5, the calculation unit 134 calculates the score "SC1" by multiplying the coefficient "CF1" determined from the S size and the dimension of the part P1 by the weight "WE1". Further, the calculation unit 134 multiplies the coefficient "CF2" determined from the S size and the dimension of the part P2 by the weight "WE2" to calculate the score "SC2". Further, the calculation unit 134 multiplies the coefficient “CF3” determined from the S size and the dimension of the part P3 by the weight “WE3” to calculate the score “SC3”. Then, the calculation unit 134 sums the score “SC1”, the score “SC2”, and the score “SC3”, and calculates the total score “SSC1”. Then, the calculation unit 134 stores the calculated score “SC1”, the score “SC2”, the score “SC3”, and the total score “SSC1” in the score information storage unit 122 . In this way, the calculation unit 134 can calculate an appropriate score after taking user information into consideration according to the characteristic part that the user comes into contact with when using the product.

(Regarding the prediction unit 135)
The prediction unit 135 predicts changes in the user's body shape based on the analysis results. For example, assume that the user is a child. In this case, the prediction unit 135 predicts that the body shape of the user will be larger than the current body shape based on the analysis result. For example, the prediction unit 135 predicts the child's growth curve based on the child's body shape data acquired over time. Thereby, the prediction unit 135 predicts when the child will grow in size based on the predicted growth curve. Then, the prediction unit 135 stores the prediction result in the user information storage unit 121 as body type change prediction information.

For example, assume that the user is an elderly person. In this case, the prediction unit 135 predicts that the body shape of the user will be smaller than the current body shape based on the analysis result. For example, the prediction unit 135 predicts a function related to changes in body shape based on the body shape data of the elderly acquired over time. Thereby, the prediction unit 135 predicts when the size of the elderly person will decrease based on the predicted function. Then, the prediction unit 135 stores the prediction result in the user information storage unit 121 as body type change prediction information.

(Regarding the providing unit 136)
The providing unit 136 provides various information. Specifically, the providing unit 136 provides the user with product information related to a product of one size when the sum of scores calculated for each part in one size satisfies a predetermined condition.

For example, the providing unit 136 selects an M size whose total score is equal to or greater than a predetermined threshold. For example, assume that the score for the S size is "1.5", the score for the M size is "3.0", and the score for the L size is "2.5". In this case, the providing unit 136 selects the M size indicating a score equal to or higher than the predetermined threshold "3.0". Then, the providing unit 136 refers to the product information storage unit 123 and provides the terminal device 10 with information on the M size diaper.

In the example of FIG. 6, it is assumed that a request for providing product information for product ID "M1" has been made. It is also assumed that the size for which the total score is equal to or greater than a predetermined threshold value is the M size. In this case, the providing unit 136 provides the terminal device 10 with information on the M size product “MA1” among the sizes of the product “MA1” corresponding to the product ID “M1”. Thereby, the providing unit 136 can provide appropriate products to the user.

[4. Processing procedure]
Next, with reference to FIG. 7, a procedure of provision processing executed by the information processing apparatus 100 according to the embodiment will be described. FIG. 7 is a flowchart illustrating an example of the flow of providing processing executed by the information processing apparatus 100 according to the embodiment.

As shown in FIG. 7, the reception unit 131 receives a request for providing product information (step S101). Specifically, if a request for providing product information has not been received (step S101; No), the receiving unit 131 waits until a request for providing product information is received.

On the other hand, when the receiving unit 131 receives a request for providing product information (step S101; Yes), the acquiring unit 132 acquires the analysis result from the external server 20 (step S102). Further, the acquisition unit 132 acquires user information (step S103).

Then, the changing unit 133 changes the weight based on the analysis result and the user information (step S104). Then, the calculation unit 134 calculates a score for each combination of product size and part (step S105). Further, the calculation unit 134 adds up the scores calculated for each part in one size, and calculates the total score (step S106).

Then, the providing unit 136 selects a size whose total score calculated by the calculating unit 134 is equal to or greater than a predetermined threshold (Step S107). The providing unit 136 also provides product information corresponding to the size (step S108).

Note that the providing process does not have to be limited to the above example. For example, in the provision process, the acquisition process shown in steps S102 and S103 may be executed before step S101.

[5. Modification]
The information processing apparatus 100 described above may be embodied in various forms other than the above embodiment. Therefore, other embodiments of the information processing apparatus 100 will be described below.

[5-1. Product〕
In the above embodiment, an example in which the product is a diaper has been described, but the product is not limited to the above example. For example, the product may be sanitary shorts, shorts-type napkins, or the like. For example, if the product is sanitary shorts, it may be non-woven shorts or cloth shorts.

[5-2. Body type data]
In the above-described embodiment, an example of the acquisition process in which the acquisition unit 132 of the information processing device 100 acquires the analysis result from the external server 20 has been described, but the invention is not limited to this. For example, the acquisition unit 132 may acquire any body type data.

Generally, in order to analyze the body shape, it is necessary to obtain an image taken while maintaining an appropriate posture (for example, standing upright and not moving). For example, when the user is an elderly person, there are times when the user cannot stand up, or when the waist is bent and the user cannot stand upright. In addition, when the user is a child, there are times when the user cannot maintain an upright and unmoving posture because the user cannot move the body well, or when the user cannot keep the upright and unmoving posture because the user cannot keep still. In such a case, the acquiring unit 132 may acquire body type data estimated by statistical analysis.

For example, when the user inputs age, height, and weight as input information, the acquisition unit 132 may acquire body shape data estimated based on the age, height, and weight. Various methods may be used as the method of analyzing the body shape data.

Further, the terminal device 10 may determine that an appropriate posture cannot be maintained when photographing the body shape of the user. In this case, the terminal device 10 notifies the information processing device 100 of a notification such as an error related to shooting. The information processing apparatus 100 may receive input of age, height, and weight from the terminal device 10, and estimate body type data based on the age, height, and weight.

As described above, the acquisition unit 132 of the information processing apparatus 100 according to the embodiment acquires body shape data analyzed by various methods, and thus can acquire various types of information necessary for providing appropriate products.

[5-3. weight〕
In the above-described embodiment, an example of the change processing in which the change unit 133 of the information processing apparatus 100 changes the weights corresponding to the legs and stomach to high weights based on the skin information indicating that the user's skin is weak has been described. , but may not be limited to this. For example, the changing unit 133 may change the weight for the part based on the product type. For example, excrement includes not only liquid excrement but also solid excrement. For this reason, if the product is a diaper, excrement may leak from the back. At this time, the changing unit 133 may change the weight corresponding to the stomach to a higher weight.

On the other hand, when the product is menstrual shorts, menstrual secretions may contain a highly viscous liquid. At this time, the changing unit 133 may change the weight corresponding to the leg opening to a higher weight.

For example, the changing unit 133 may change the weight for the part based on the attribute information of the user. For example, assume that the user is a child under a predetermined age who cannot stand or walk. In this case, since the person is lying down, the excrement may be crushed and leak from the back side. At this time, the changing unit 133 may change the weight corresponding to the stomach to a higher weight.

On the other hand, it is assumed that the user is a child of a predetermined age or older who can stand and walk. In this case, standing or walking may cause leakage from the leg opening. At this time, the changing unit 133 may change the weight corresponding to the leg opening to a higher weight.

For example, the changing unit 133 may change the weight for the part based on the physical ability of the user. For example, assume that the user is a child, a small child who cannot stand or walk. In this case, since the person is lying down, the excrement may be crushed and leak from the back side. At this time, the changing unit 133 may change the weight corresponding to the stomach to a higher weight.

On the other hand, it is assumed that the user is a child who can stand and walk. In this case, standing or walking may cause leakage from the leg opening. At this time, the changing unit 133 may change the weight corresponding to the leg opening to a higher weight.

For example, assume that the user is an elderly person who cannot stand or walk. In this case, since the person is lying down, the excrement may be crushed and leak from the back side. At this time, the changing unit 133 may change the weight corresponding to the stomach to a higher weight.

On the other hand, it is assumed that the user is an elderly person who can stand and walk. In this case, standing or walking may cause leakage from the leg opening. At this time, the changing unit 133 may change the weight corresponding to the leg opening to a higher weight.

As described above, the changing unit 133 of the information processing apparatus 100 according to the embodiment changes the weight for the part based on the type of product or user information, so that an appropriate product according to the score considering various information is selected. can be selected.

[5-4. Shooting timing]
In the above embodiment, an example has been described in which the terminal device 10 transmits an image to the external server 20 when the reception unit 131 of the information processing device 100 receives a request for providing product information, but the present invention is not limited to this. No need. For example, the timing at which the image is captured by the terminal device 10 may be any timing.

For example, the terminal device 10 may transmit an image captured in advance. In addition, the terminal device 10 may transmit to the external server 20 images captured before and after the user eats or before and after excretion.

It is generally known that a user's body shape changes before and after eating or before and after excretion. Therefore, the terminal device 10 may transmit to the external server 20 an image of the user's body shape before eating and an image of the user's body shape after eating. In addition, the terminal device 10 may transmit to the external server 20 an image of the user's body shape before excretion and an image of the user's body shape after excretion.

As a result, the terminal device 10 transmits to the external server 20 the image captured at the timing when the body shape fluctuates greatly, so that the external server 20 can analyze the user's body shape under various conditions. Then, the acquisition unit 132 of the information processing device 100 may acquire the analysis result analyzed by the external server 20 as the body shape variation information. In this case, the acquisition unit 132 stores the body shape variation information in the user information storage unit 121 .

For example, if the user is a child, the circumference of the stomach may increase after the child drinks milk. In addition, when the user is an elderly person, it may be difficult to excrete. At this time, elderly people excrete by taking laxatives or having family members or caregivers take laxatives, but after taking laxatives, the circumference of the abdomen may become smaller. In this way, the terminal device 10 can capture an image of the user's body shape in a size that is estimated to be the largest around the stomach. For example, the provision unit 136 of the information processing apparatus 100 provides the user with product information that matches the size that is predicted to be the largest around the stomach from the analysis result of the image. It is possible to provide product information with little irritation. In addition, the providing unit 136 can provide product information that is less likely to be leaked by adjusting the size to be smaller.

[5-5. body shape prediction]
In the above-described embodiment, the providing unit 136 of the information processing apparatus 100 provides the user with product information about products of one size when the sum of scores calculated for each part of one size satisfies a predetermined condition. Although an example of the providing process has been described, the present invention is not limited to this. For example, the prediction unit 135 of the information processing device 100 predicts changes in the user's body shape based on the analysis result. Then, the providing unit 136 may provide the user with product information corresponding to the size based on the change in body shape predicted by the prediction unit 135 .

For example, assume that the user is a child. In this case, the prediction unit 135 predicts that the body shape of the user will be larger than the current body shape based on the analysis result. Then, the providing unit 136 may provide the user with product information corresponding to a size larger than the size corresponding to the current figure based on the predicted result.

For example, the prediction unit 135 predicts the child's growth curve based on the child's body shape data acquired over time. Thereby, the prediction unit 135 predicts when the child will grow in size based on the predicted growth curve. Then, the provision unit 136 may provide product information corresponding to a size larger than the size corresponding to the current figure at an appropriate time based on the predicted result. Thus, the providing unit 136 can propose a product purchase schedule.

For example, assume that the user is an elderly person. In this case, the prediction unit 135 predicts that the body shape of the user will be smaller than the current body shape based on the analysis result. Then, the providing unit 136 may provide the user with product information corresponding to a size smaller than the size corresponding to the current figure based on the predicted result.

For example, the prediction unit 135 predicts a function related to changes in body shape based on the body shape data of the elderly acquired over time. Thereby, the prediction unit 135 predicts when the size of the elderly person will decrease based on the predicted function. Then, the providing unit 136 may provide product information corresponding to a size smaller than the size corresponding to the current figure at an appropriate time based on the predicted prediction result. Thus, the providing unit 136 can propose a product purchase schedule.

As described above, the prediction unit 135 of the information processing apparatus 100 according to the embodiment predicts the change in body shape of the user based on the analysis result, and the provision unit 136 responds to the change in body shape predicted by the prediction unit 135. Since product information corresponding to the size is provided to the user, appropriate products can be provided.

[5-6. Providing messages]
In the above-described embodiment, the providing unit 136 of the information processing apparatus 100 provides the user with product information about products of one size when the sum of scores calculated for each part of one size satisfies a predetermined condition. Although an example of the providing process has been described, the present invention is not limited to this. For example, the providing unit 136 may provide the user with a message corresponding to the user information together with the product information.

For example, if the user is a child, the providing unit 136 provides product information of a size larger than the current size when the size of the user is expected to increase. In this case, size variation may be a barometer of the child's growth. Therefore, the providing unit 136 may provide the user with a message such as "You are growing fast!" together with product information of a size larger than the current size.

For example, if the user is an elderly person, the providing unit 136 provides product information of a size smaller than the current size when the size of the user is expected to decrease. In this case, the user may perceive that he or she is aging, which may have a negative impact on the user. In addition, it is known that self-awareness of aging makes the users unable to excrete independently and requires a higher level of nursing care. Therefore, the providing unit 136 may provide the user with a message such as "If you work hard at rehabilitation, you may be able to extend the period of downsizing!" together with product information of the current size.

In addition, the providing unit 136 uses a message such as "Your efforts in rehabilitation have extended the time to wear a smaller size!" along with the product information of the current size to the user who is predicted to have a smaller size. may be provided to anyone. Thereby, the providing unit 136 can make the user realize the effects of rehabilitation. Also, the providing unit 136 can provide a positive message to the user by providing a message that the size has not changed. In this way, the providing unit 136 can reduce the possibility that independent excretion will not be possible and the possibility that the need for nursing care will increase.

In this way, the provision unit 136 of the information processing apparatus 100 according to the embodiment provides the user with a message corresponding to the user information together with product information. Added value can be provided considering the situation.

[5-7. Provision processing based on product type]
In the above-described embodiment, the providing unit 136 of the information processing apparatus 100 provides the user with product information about products of one size when the sum of scores calculated for each part of one size satisfies a predetermined condition. Although an example of the providing process has been described, the present invention is not limited to this. For example, the provision unit 136 may select a product type corresponding to one size and provide product information belonging to the product type to the user when the sum of the scores is equal to or greater than a predetermined threshold.

For example, the providing unit 136 selects one type of product from tape type, pants type, night use, and training use based on the user information, and provides product information belonging to the one type. good too. For example, the providing unit 136 provides information on tape-type diapers based on the user's physical ability when the user is a child who cannot stand or walk. On the other hand, the providing unit 136 provides information on pants-type diapers based on the user's physical ability when the user is a child who can stand and walk. In addition, the providing unit 136 provides information on tape-type diapers based on the user's physical ability when the user is a bedridden elderly person. On the other hand, the providing unit 136 provides information on pants-type diapers based on the user's physical ability when the user is an elderly person who can exercise. In this way, the providing unit 136 distributes product information belonging to the type selected based on the physical ability of the user. Therefore, since the providing unit 136 provides product information belonging to the type selected based on the user information, it is possible to provide appropriate products.

For example, based on the user attribute information, the providing unit 136 makes the user, who is a child of a predetermined age or older, feel that it is uncomfortable to defecate in a diaper, and encourages the user to defecate in the toilet. Training diapers may be provided for the purpose of In this way, the providing unit 136 may provide training diapers or nighttime diapers separately based on physical ability estimated from age, diaper size, or body shape.

Further, when the sum of the scores is equal to or greater than a predetermined threshold, the providing unit 136 may select a product type corresponding to one size and provide the user with type information about the product type. For example, the providing unit 136 may select one type of product from tape type, pants type, nighttime use, or training use based on the user information, and provide type information about the one type. good. For example, the providing unit 136 provides type information such as a tape type based on the user's physical ability when the user is a child who cannot stand or walk. On the other hand, if the user is a child who can stand and walk, the providing unit 136 provides type information such as a pants type based on the physical ability of the user.

Further, the providing unit 136 provides type information such as a tape type based on the physical ability of the user when the user is a bedridden elderly person. On the other hand, the providing unit 136 provides type information such as a pants type based on the physical ability of the user when the user is an elderly person who can exercise.

In addition, based on the attribute information of the user, the provision unit 136 makes the user feel that it is uncomfortable to defecate in a diaper when the user is a child of a predetermined age or older, and encourages the user to defecate in the toilet. For the purpose of this, type information such as for training may be provided.

In this way, the providing unit 136 distributes the type information selected based on the user's physical ability or attribute information. Therefore, since the providing unit 136 provides the type information selected based on various kinds of information, it is possible to provide appropriate product type information.

As described above, the providing unit 136 of the information processing apparatus 100 according to the embodiment selects a product type corresponding to one size when the sum of the scores is equal to or greater than a predetermined threshold, and selects a product belonging to the product type. In order to provide information to users, suitable products can be provided.

[5-8. chatbot]
In the above-described embodiment, the providing unit 136 of the information processing apparatus 100 provides the user with product information about products of one size when the sum of scores calculated for each part of one size satisfies a predetermined condition. Although an example of the providing process has been described, the present invention is not limited to this. For example, the providing process executed by the providing unit 136 may be of any providing mode.

For example, the function of providing processing executed by the information processing apparatus 100 may be included in a chatbot that is an existing technology. Here, it is assumed that the chatbot has a function of accepting input of information from the user regarding what the user can and cannot do, and proposing appropriate diapers.

First, an example of content that can be exchanged by a chatbot will be described with reference to FIG. FIG. 8 is a diagram showing a specific example of content according to the embodiment. In the example of FIG. 8, the content to be chatted by the chatbot is displayed on the left side from the center of the content C1. In addition, the contents chatted by the user are displayed on the right side from the center of the content C1.

In the example of FIG. 8, the content of the chat by the chatbot is displayed, such as "Thank you for your reply. I'm glad it was useful to you. Do you have any other questions?" Then, items such as "Tell me how to choose diapers" and "Try diaper diagnosis" are displayed. Then, the content of the chat such as "diaper size" by the user is displayed. Then, the contents of the chat such as "Do you have anything similar to the content of your question? Please select from the following" by the chatbot are displayed. In this way, the providing process executed by the information processing apparatus 100 is realized by the interaction between the chatbot and the user on the content in which the chatbot is displayed and where the chat interaction is possible.

Below, processing by the chatbot will be described as processing by the terminal device 10 . For example, the terminal device 10 displays content C1. Then, the terminal device 10 may transition from the chat "Please enter your body shape" by the chatbot to the shooting mode of the camera. In addition, the terminal device 10 may allow the user to input the age, height, and weight through a chat such as "Please input your body type" by a chatbot. Then, the terminal device 10 displays the content indicating the product information such as "Your figure is ABCD" by the chatbot. Moreover, the terminal device 10 may display information about a store where such diapers can be purchased together with the information about the diapers. In addition, the terminal device 10 further includes a URL (Uniform Resource Locator) for transitioning to content that allows browsing of diaper types and diaper brands, an Internet shopping mall selling diapers, an electronic shopping mall, or the like. The URL of the e-commerce service, the JAN (Japanese Article Number) code of the diaper, or the like may be displayed.

For example, the terminal device 10 displays product information with priority based on user's preference. For example, the terminal device 10 may display the sizes in descending order of size when the user has a preference to relax in interaction with the chatbot in advance. For example, when the M size and the L size are determined to be appropriate sizes, the terminal device 10 may display the L size and the M size in the display order. In addition, if the user has a preference that the user does not want to leak in the interaction with the chatbot in advance, the terminal device 10 may display the size in ascending order of size. For example, when the S size and the M size are determined to be appropriate sizes, the terminal device 10 may display the product information of the S size in a higher display order.

For example, when the user is an elderly person, the terminal device 10 may display product information along with the product type. It is generally known that pants-type diapers are suitable for elderly people. However, some elderly people may recognize that only tape-type diapers are sold. For example, when using diapers for the first time when entering a facility for temporary hospitalization or care due to illness, there are cases where tape-type diapers are used for users who can still wear pants-type diapers due to the convenience of the facility side. . In such a case, even though the underpants type diaper can be used at home after being discharged from the hospital, the tape type diaper may continue to be used because the tape type diaper was previously used. In this way, if the tape type is used when the pants type can still be used, the user will need support from others to put on diapers, etc., and this will lead to a decline in physical function of the user, resulting in independent excretion and health. It may hinder the extension of life. In such a case, the terminal device 10 may display product information along with the product type. In addition, the terminal device 10 may display product information belonging to another type different from the type of product currently used by the user.

For example, the terminal device 10 may display product information when the user is an elderly person. Generally, a diaper is composed of an outer layer and an inner layer (pad). However, some elderly people only recognize outerwear. In such a case, the terminal device 10 may display product information regarding innerwear. Further, the terminal device 10 provides product information about innerwear, eliminates the need to purchase multiple outerwear (can reduce the frequency of outerwear replacement), and provides dedicated personal information for each of the pants-type outerwear and the tape-type outerwear. Information regarding benefits or advice, such as the availability of innerwear and the convenience of changing diapers if purchased, may be displayed. In particular, if an inner layer that matches the type of diaper is not used (a tape type inner layer is used for a pants type outer layer), the user may not be able to put the diaper on by themselves, and may need assistance from others. As a result, there is a possibility that it will hinder independent excretion and extension of healthy life expectancy.

Next, the emphasizing display of the diaper size and the like by the chatbot will be described with reference to FIG. 9 . FIG. 9 is a diagram showing a specific example of content according to the embodiment. In the example of FIG. 9, the content to be chatted by the chatbot is displayed on the left side from the center of the content C2. In addition, the contents chatted by the user are displayed on the right side from the center of the content C2.

In the example of FIG. 9, a product image of diapers is arranged in the lower right of the content C2, and an image with an enlarged description of the size is arranged on the left side of the product image of diapers. In addition, when the description of the size is different from the user's size, the content of the chat such as "Your diaper size is L!" by the chatbot is displayed.

In general, product images such as diapers have many similar packages, which tend to confuse elderly people. For this reason, elderly people may purchase the wrong diaper. Therefore, the terminal device 10 displays the content C2 in which the product image of the diaper and the image with the enlarged description of the size are arranged so that the content C2 can be exchanged with the chatbot. can be prevented. In addition, when there is a product image of each size or an image with an enlarged description of each size, the terminal device 10 displays the content of the chat such as "Your diaper size is L!" , an L-size product image and an enlarged image of the L-size description may be displayed. Also, the product image may be common, but only the image with the size description enlarged may be changed according to the proposed size. For example, when the L size is proposed, the terminal device 10 may display an M size product image and an image in which the description of the L size is enlarged.

Also, the terminal device 10 may display a combination of size, product, and product type. Also, the terminal device 10 may display two or more sizes. For example, the terminal device 10 may display the content of the chat such as "Are you S or M!" by the chatbot.

Next, the purchase of diapers using content that can be exchanged with a chatbot will be described. For example, when the user is an elderly person, the user, the user's family, a caregiver, or the like may visit a store that sells diapers and purchase diapers. At this time, diapers may be purchased by showing a salesclerk information about diapers displayed in content that can be exchanged with a chatbot. However, the content that can be exchanged with the chatbot includes the user's personal information. Therefore, when showing information about diapers to a store clerk, it is preferable to show content in which only other product information transitioned from content that can be exchanged with a chatbot is arranged.

For example, the terminal device 10 may display content in which product images of diapers transitioned from content that allows interaction with a chatbot are arranged. Screen transitions can be made to transition to the content where the product information is placed within the content that allows interaction with the chatbot, or to transition to another content and display it. good. In addition, the user is prompted to enter information including personal information of the user in content other than the content that allows interaction with the chatbot, and content where product information is placed from the separate content (content that allows interaction with the chatbot) It may be within the content, or may be another content). In addition, the terminal device 10 may display content in which product images of diapers are arranged over the entire display section of the terminal device 10 so as to be superimposed on the content that allows interaction with the chatbot.

[5-9. others〕
Of the above processes, all or part of the processes described as being performed automatically may be performed manually. Also, all or part of the processes described as being performed manually may be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device shown in the figure is functionally conceptual and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution/integration of each device is not limited to the illustrated one. Further, all or part of each component may be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions.

Further, each of the processes described above may be executed in combination as long as there is no contradiction.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the providing unit can be read as providing means or a providing circuit.

[6. Hardware configuration]
Also, the terminal device 10, the external server 20, the database server 30, and the information processing device 100 according to the above-described embodiments are implemented by, for example, a computer 1000 configured as shown in FIG. FIG. 10 is a diagram illustrating an example of a hardware configuration; The computer 1000 is connected to an output device 1010 and an input device 1020 , and a bus 1090 connects an arithmetic device 1030 , a cache 1040 , a memory 1050 , an output IF (Interface) 1060 , an input IF 1070 and a network IF 1080 .

The arithmetic device 1030 operates based on programs stored in the cache 1040 and memory 1050, programs read from the input device 1020, and the like, and executes various processes. The cache 1040 is a cache such as a RAM that temporarily stores data used by the arithmetic device 1030 for various arithmetic operations. The memory 1050 is a storage device in which data used for various calculations by the arithmetic unit 1030 and various databases are registered, and is implemented by a ROM (Read Only Memory), HDD (Hard Disk Drive), flash memory, or the like. memory.

The output IF 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various types of information such as a monitor and a printer. It may be implemented by a connector conforming to a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). On the other hand, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, scanner, etc., and is realized by, for example, USB.

For example, the input device 1020 includes optical recording media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), PDs (Phase change rewritable discs), magneto-optical recording media such as MOs (Magneto-Optical discs), tape media, It may be implemented by a device that reads information from a magnetic recording medium, a semiconductor memory, or the like. Also, the input device 1020 may be realized by an external storage medium such as a USB memory.

The network IF 1080 has a function of receiving data from another device via the network N and sending it to the arithmetic device 1030, and transmitting data generated by the arithmetic device 1030 via the network N to other devices.

Here, the arithmetic device 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070 . For example, arithmetic device 1030 loads a program from input device 1020 or memory 1050 onto cache 1040 and executes the loaded program. For example, when the computer 1000 functions as the information processing device 100 , the arithmetic device 1030 of the computer 1000 implements the functions of the control unit 130 by executing the program loaded on the cache 1040 .

The embodiments of the present application have been described above in detail with reference to the drawings. However, these are examples, and the embodiments of the present application can be implemented in other forms with various modifications and improvements based on the knowledge of those skilled in the art, including the aspects described in the disclosure of the invention. is possible.

N network 1 information processing system 10 terminal device 20 external server 30 database server 100 information processing device 110 communication unit 120 storage unit 121 user information storage unit 122 score information storage unit 123 product information storage unit 130 control unit 131 reception unit 132 acquisition unit 133 changing unit 134 calculating unit 135 predicting unit 136 providing unit

Claims (19)

Based on the results of analysis of the user's body shape and user information about the user, a score indicating the degree to which the size of the product corresponding to the user's body part corresponds to the size of the body part of the product A calculation unit that calculates for each combination of the size of and the part,
a providing unit configured to provide the user with product information related to the product of the one size when the sum of the scores calculated for each of the parts in the size of the product satisfies a predetermined condition. An information processing device characterized by: The providing unit
2. The information processing apparatus according to claim 1, wherein, as the predetermined condition, the product information of the one size is provided to the user when the sum of the scores is equal to or greater than a predetermined threshold. . further comprising a changing unit that changes a weight to be multiplied by a coefficient determined by a combination of the product size and the part based on the analysis result and the user information;
The calculation unit
Based on each of the weights for each of the combinations and each of the coefficients for each of the combinations, a score indicating the degree to which one size of the product corresponding to the part corresponds to the size of the part is calculated for each of the combinations. The information processing apparatus according to claim 1 or 2, characterized in that: The calculation unit
The score is calculated by multiplying each coefficient determined for each combination of the dimension indicated by the part and the size of the product, and each weight for each combination. The information processing apparatus according to claim 3. The information processing apparatus according to any one of claims 1 to 4, further comprising an acquisition unit that acquires the user information. The acquisition unit
Acquiring attribute information about the attributes of the user as the user information,
The change unit
The information processing apparatus according to claim 5, wherein the weight is changed based on the analysis result and the attribute information. The acquisition unit
Acquiring skin information about the user's skin as the user information,
The change unit
7. The information processing apparatus according to claim 5, wherein the weight is changed based on the analysis result and the skin information. The acquisition unit
Acquiring body shape variation information related to body shape variation of the user as the user information,
The change unit
The information processing apparatus according to any one of claims 5 to 7, wherein the weight is changed based on the analysis result and the body type variation information. The acquisition unit
The information processing apparatus according to any one of claims 5 to 8, wherein an analysis result obtained by analyzing the body shape of the user is obtained. further comprising a prediction unit that predicts changes in the body shape of the user based on the analysis result;
The providing unit
10. The information processing apparatus according to any one of claims 1 to 9, wherein the user is provided with product information corresponding to a size based on variations in body shape predicted by the prediction unit. The prediction unit
Predicting that the body shape of the user will be larger than the current body shape based on the analysis result,
The providing unit
11. The information processing apparatus according to claim 10, wherein, based on the prediction result predicted by the prediction unit, product information corresponding to a size larger than the size corresponding to the current body type is provided to the user. . The prediction unit
Predicting that the body shape of the user will be smaller than the current body shape based on the analysis result,
The providing unit
11. The information processing apparatus according to claim 10, wherein, based on the prediction result predicted by the prediction unit, product information corresponding to a size smaller than the size corresponding to the current body type is provided to the user. . The providing unit
A product type corresponding to the one size is selected when the sum of the scores is equal to or greater than a predetermined threshold, and product information belonging to the product type is provided to the user. 13. The information processing device according to any one of 1 to 12. The providing unit
14. The information processing apparatus according to claim 13, wherein one of the product types is selected based on the user information, and product information belonging to the one type is provided to the user. . The providing unit
15. The information processing apparatus according to any one of claims 1 to 14, wherein, as the product information, information relating to products that are both wearable and absorbent articles is provided to the user. The providing unit
16. The information processing apparatus according to any one of claims 1 to 15, wherein a message corresponding to the user information is provided to the user together with the product information. Based on the results of analysis of the user's body shape and user information about the user, a score indicating the degree to which the size of the product corresponding to the user's body part corresponds to the size of the body part of the product A calculation unit that calculates for each combination of the size of and the part,
When the sum of the scores calculated for each part in one size of the product satisfies a predetermined condition, a product type corresponding to the one size is selected, and the type information related to the product type is used. an information processing apparatus comprising: a provision unit for providing information to a person; A computer-executed information processing method comprising:
Based on the results of analysis of the user's body shape and user information about the user, a score indicating the degree to which the size of the product corresponding to the user's body part corresponds to the size of the body part of the product A calculation step of calculating for each combination of the size of and the part,
a providing step of providing the user with product information about the product of the one size when the sum of the scores calculated for each of the parts in the one size of the product satisfies a predetermined condition. An information processing method characterized by: Based on the results of analysis of the user's body shape and user information about the user, a score indicating the degree to which the size of the product corresponding to the user's body part corresponds to the size of the body part of the product A calculation procedure for calculating for each combination of the size of and the part,
a provision procedure for providing the user with product information relating to the product of the one size when the sum of the scores calculated for each of the parts in the size of the product satisfies a predetermined condition; An information processing program characterized by being executed.

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