JP2024074301A - Information processing device - Google Patents

Abstract

To generate information on a period during which a wearer can comfortably wear a wearing article.SOLUTION: An information processing device disclosed herein comprises a generation unit configured to generate variation information indicative of temporal variation in the level of comfort felt by a wearer for each wearing article on the basis of wearing article information on wearing articles and wearer information (such as attributes, a growth stage, and preferences for wearing articles of the wearer) on a wearer, and a registration unit for registering the variation information generated by the generation unit.SELECTED DRAWING: Figure 4

Description

The present invention relates to an information processing device.

Conventionally, technologies have been proposed for providing information about clothing that corresponds to changes in the wearer's body shape. One example of such a technology is known in which, when children's clothing is selected as a product to be purchased, the acceptable size of the children's clothing is obtained from a clothing database that holds the body sizes that can be worn for children's clothing as acceptable sizes, input of the child user's body size and age is received, growth pattern data of the child user is obtained from a growth pattern database, and the period during which the children's clothing can be worn is predicted based on the acceptable size and growth pattern.

JP 2007-265077 A

However, the above-mentioned technology cannot generate information regarding the period during which a wearer can comfortably wear a wearable article.

For example, the above-mentioned technology merely describes a configuration for determining the limit date and time when the child user's body size exceeds the acceptable range of the selected child's clothing, and cannot be said to be capable of generating information regarding the period during which the wearer can comfortably wear the wearable article.

This application has been made in consideration of the above, and aims to generate information regarding the period during which a wearer can comfortably wear a wearable article.

The information processing device according to the present application is characterized by having a generating unit that generates, for each worn article, variation information indicating a variation in comfort level for the wearer according to the passage of time based on worn article information about the worn article and wearer information about the wearer, and a registering unit that registers the variation information generated by the generating unit.

According to one aspect of the embodiment, it is possible to generate information regarding the period during which the wearer can comfortably wear the wearable article.

FIG. 1 is a diagram showing an example of the configuration of an information processing system 1 according to an embodiment. FIG. 2 is a diagram illustrating an example of information processing according to the embodiment. FIG. 3 is a diagram showing an example of a screen of the user terminal 100 according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of the information processing device 10 according to the embodiment. FIG. 5 is a diagram showing an example of the worn article information database 31 according to the embodiment. FIG. 6 is a diagram showing an example of the wearer information database 32 according to the embodiment. FIG. 7 is a diagram showing an example of the variation information database 33 according to the embodiment. FIG. 8 is a flowchart illustrating an example of a procedure of information processing according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device 10.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. In addition, the same parts in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

(Embodiment)
1. Configuration of the information processing system
First, an information processing system 1 according to an embodiment will be described. FIG. 1 is a diagram showing an example of the configuration of the information processing system 1 according to an embodiment. As shown in FIG. 1, the information processing system 1 includes an information processing device 10 and a user terminal 100. The information processing device 10 and the user terminal 100 are connected to each other via a predetermined communication network (network N) so as to be able to communicate with each other by wire or wirelessly. Note that the information processing system 1 shown in FIG. 1 may include a plurality of information processing devices 10 and a plurality of user terminals 100.

The information processing device 10 is an information processing device for acquiring information about wearable articles that can be worn comfortably by a wearer, and is realized, for example, by a server device or a cloud system. For example, the information processing device 10 provides an electronic commerce service that offers wearable articles such as shoes to a user (for example, a parent of the wearer), and provides information about the wearable articles to the user via the electronic commerce service.

The information processing device 10 may have a function as a web server that provides a website related to the service. The information processing device 10 may also be a device that distributes information to be displayed in applications related to various services installed in the user terminal 100 to the information processing device 10. The information processing device 10 may also be a server that distributes the application data itself.

The information processing device 10 may also function as a distribution device that distributes control information to the user terminal 100. Here, the control information is described, for example, in a script language such as JavaScript (registered trademark) or a style sheet language such as CSS (Cascading Style Sheets). Note that the application itself distributed from the information processing device 10 may be regarded as control information.

The user terminal 100 is an information processing device used by a user. The user terminal 100 is realized, for example, by a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. The user terminal 100 also displays information distributed by the information processing device 10 or a server device that provides a specified service, using a web browser or an application. Note that the example shown in FIG. 2 shows a case where the user terminal 100 is a smartphone.

2. An example of information processing
Next, an example of information processing implemented by an information processing device or the like according to this embodiment will be described with reference to FIG. 2. FIG. 2 is a diagram showing an example of information processing according to this embodiment. In the following description, it is assumed that the user terminal 100 is used by a user (user U1) identified by a user ID "UID#1". In addition, in the following description, the user terminal 100 may be regarded as the same as user U1. In other words, in the following, user U1 may also be read as user terminal 100.

In the following description, an example is shown in which the wearer (wearer W1) identified by the wearer ID "WID#1" is the child of user U1. In the following description, an example is shown in which the worn article is a shoe.

First, the information processing device 10 acquires wearer information on the wearer W1 from the user terminal 100 (step S1). For example, the information processing device 10 acquires wearer information including attributes of the wearer W1 (e.g., gender, age, etc.), the shape of the part (foot) where the wearer W1 wears the wearable article, and the degree of growth of the wearer W1's foot. As a specific example, the information processing device 10 captures an image of the wearer W1's foot placed on a specified mat with the user terminal 100, creates a 3D model of the foot based on dots (markers) on the mat, and acquires information measured via a measuring means capable of measuring the size of the foot and toes (e.g., the shape of the entire foot, the shape of the instep, the size of the foot, the width of the foot, whether the foot is flat, etc.) as information indicating the shape of the wearer W1's foot. The information processing device 10 also acquires the degree of growth of the wearer W1's foot, which is estimated based on the information measured via the measuring means and the attributes of the wearer W1.

The degree of growth of the wearer W1's feet may be an average value of the attributes of the wearer W1, or may be estimated based on the average value and information measured via the above-mentioned measuring means (i.e., actual measurements). The degree of growth of the wearer W1's feet may also be estimated based on information about the wearer W1 (e.g., height, weight, attributes, etc.) input by the user U1, images of the wearer W1's body (e.g., images of the wearer W1's body from various angles), etc.

Next, the information processing device 10 generates, for each worn article, variation information indicating the variation of the comfort level for the wearer W1 over time based on the worn article information and the wearer information (step S2). For example, the information processing device 10 calculates the comfort level of the worn article for the wearer W1 at each time point during the period (for example, a score indicating a value from "0 (very bad)" to "100 (very good)") based on the worn article information including information indicating the size of the worn article, the material of the worn article, and the evaluation of the worn article by the user who purchased the worn article (for example, an evaluation by a user who has a child who wears similar wearer information to the wearer W1), and the wearer information including information indicating the shape of the wearer W1's foot and information indicating the degree of growth of the wearer W1's foot during a predetermined period (in the example of FIG. 2, the period from the present to 12 months later), and generates variation information in which the calculated comfort level is graphed.

As a specific example, the information processing device 10 generates variation information F1 showing a graph G1-1 of the score for worn item #1 having a size of 12 cm, a graph G1-2 of the score for worn item #1 having a size of 12.5 cm, a graph G1-3 of the score for worn item #1 having a size of 13 cm, and a graph G1-4 of the score for worn item #1 having a size of 13.5 cm. Similarly, the information processing device 10 generates variation information F2 showing a graph of the scores for each size of worn item #2, variation information F3 showing a graph of the scores for each size of worn item #3, etc.

To give a more specific example, even if the worn articles #1 and #2 are the same size, when the worn article #2 is designed to be tighter (for example, when the worn article #2 is manufactured using a non-stretchable material), the information processing device 10 generates variation information F2 that shows a graph with a steeper shape than the variation information F1 (in other words, the period during which it can be worn comfortably is shorter). Also, even if the worn articles #1 and #3 are the same size, when the worn article #3 is designed to be larger (for example, when the worn article #3 is manufactured using a stretchable material), the information processing device 10 generates variation information F3 that shows a graph with a gentler shape than the variation information F1 (in other words, the period during which it can be worn comfortably is longer).

In addition, if the size increments of worn item #3 are larger than the size increments of worn item #1 (for example, if the size increments of worn item #3 are 1 cm and the size increments of worn item #1 are 0.5 cm), the information processing device 10 generates fluctuation information F3 that shows a graph with a gentler shape than the fluctuation information F1.

Next, the information processing device 10 registers the variation information in the storage unit of the device (step S3). For example, the information processing device 10 registers the variation information F1, F2, F3, ... in the storage unit of the device in association with the wearer W1.

Next, the information processing device 10 receives a request for information about wearable articles from the user terminal 100 (step S4). For example, the information processing device 10 receives a request for information about wearable articles corresponding to a search query entered by the user U1 in an electronic commerce service.

The information processing device 10 may acquire wearer information together with a request for information on the worn article. The information processing device 10 may then generate variation information based on the acquired wearer information, or update the variation information registered in association with the wearer W1.

In the example of FIG. 2, it is assumed that a request for information on wearable articles including wearable articles #1 to #3 has been received from the user terminal 100. In this case, the information processing device 10 estimates the period during which the wearable article for which information has been requested can be worn comfortably by the wearer W1 (step S5). For example, based on the variation information, the information processing device 10 estimates that the period during which each size of wearable article is worn and the score is 80 or higher is the period during which the wearer W1 can wear the article comfortably.

As a specific example, because worn article #1 of a size corresponding to graph G1-1 of the variation information F1 has a score of 80 or more in the period from the present time to four months later, the information processing device 10 estimates that this period is a period during which the wearer W1 can comfortably wear worn article #1 of that size. Also, because worn article #1 of a size corresponding to graph G1-2 of the variation information F1 has a score of 80 or more in the period from three months to eight months later from the present time, the information processing device 10 estimates that this period is a period during which the wearer W1 can comfortably wear worn article #1 of that size. The same estimation is made for graphs G1-3 and G1-4.

The information processing device 10 may estimate that the period from the present time to the point at which the intersection P1-1 of the graphs G1-1 and G1-2 occurs (in other words, the point at which it is recommended to change from the size corresponding to the graph G1-1 to the size corresponding to the graph G1-2) is the period during which the wearer W1 can comfortably wear the worn article #1 of the size corresponding to the graph G1-1 of the variation information F1.

In addition, since worn article #2 of the size corresponding to graph G2-1 in the variation information F2 has a score of 80 or more in the period from the present time to two months from now, the information processing device 10 estimates that this period is the period during which wearer W1 can comfortably wear worn article #2 of that size. The same estimation is made for graphs G2-2 to G2-7.

In addition, since worn article #3 of the size corresponding to graph G3-1 in the variation information F3 has a score of 80 or more in the period from one month from the present to nine months from now, the information processing device 10 estimates that this period is the period during which wearer W1 can comfortably wear worn article #3 of that size. A similar estimation is made for graph G3-2.

Next, the information processing device 10 provides information corresponding to the period estimated in step S5 to the user terminal 100 via the electronic commerce service (step S6). For example, the information processing device 10 provides information indicating the period during which the wearer W1 can comfortably wear the article, the current score, etc. for each size of the article for which information provision has been requested.

Here, an example of information provided to the user terminal 100 will be described with reference to FIG. 3. FIG. 3 is a diagram showing an example of a screen of the user terminal 100 according to the embodiment.

As shown in FIG. 3, the user terminal 100 displays a screen C1 that shows the size of the wearable item, the current score for that size, the period during which that size can be worn comfortably (period during which it can be worn), etc.

Here, the information processing device 10 may further provide the user terminal 100 with information on the wearable article previously purchased by the user U1 in the electronic commerce service (in other words, the wearable article currently worn by the wearer W1) and information indicating the degree of growth of the wearer W1's feet. For example, as shown in FIG. 3, the user terminal 100 displays a screen C2 showing a graph indicating the degree of growth of the wearer W1's feet and the time when the wearer W1 purchased a wearable article of the size currently worn by the wearer W1 and the time when the score of the wearable article will be less than 80 or the score of a wearable article of another size will be higher than the score of the wearable article (time to replace the wearable article).

The information processing device 10 may provide information about wearable articles that have a score of 80 or more when it is time to replace them. The information processing device 10 may also provide information shown on screen C2 at a point in time (e.g., one month before) a predetermined period before the time to replace them, or information about wearable articles that have a score of 80 or more when it is time to replace them.

As described above, the information processing device 10 according to the embodiment generates, for each worn article, variation information indicating variation in comfort level for the wearer W1 over time based on worn article information related to the worn article and wearer information related to the wearer, estimates a period during which the wearer W1 can wear the worn article comfortably based on the variation information, and provides information corresponding to the estimated period. In this way, the information processing device 10 according to the embodiment can generate information related to a period during which the wearer can wear the worn article comfortably, and present information related to worn articles that the wearer can wear comfortably.

[3. Other processing examples]
The above-described process is merely an example, and the information processing device 10 may perform various processes using various information. In this regard, examples are given below.

[3-1. Provision of information according to period]
2, in response to a request for information on worn articles, the information processing device 10 may provide the user terminal 100 with information on worn articles of sizes for which the period during which the score is 80 or more is a predetermined threshold or more (e.g., six months). Here, the predetermined threshold may be set by the user U1.

In addition, when providing information about worn articles, the information processing device 10 may provide to the user terminal 100 preferentially information about worn articles for which the score has been 80 or higher for a longer period of time.

[3-2. User-defined score thresholds]
In the example of Fig. 2, the information processing device 10 may estimate a period during which the wearer W1 can wear the worn article when the score is equal to or greater than a threshold value set by the user U1. For example, assume that the user U1 desires to purchase a worn article that can be worn for as long as possible even if there is a slight difference between the size of the wearer's foot and the worn article, and sets the score threshold to 70. In such a case, since the worn article #3 of the size corresponding to the graph G3-1 of the variation information F3 has a score of 70 or greater during the period from the present time to 9 months later, the information processing device 10 estimates that the period is a period during which the wearer W1 can comfortably wear the worn article #3 of that size.

For example, assume that user U1 prioritizes ease of movement when wearing the garment and sets the score threshold to 95. In this case, the information processing device 10 estimates that the period is a period during which wearer W1 can comfortably wear worn article #1 of the size corresponding to graph G1-1 of variation information F1, since the score is 95 or higher for the period from one month to three months from the present time. Furthermore, the information processing device 10 estimates that the period is a period during which wearer W1 can comfortably wear worn article #2 of the size corresponding to graph G2-1 of variation information F2, since the score is 95 or higher for the period from the present time to two months from the present time.

[3-3. Score thresholds according to categories of wearable items]
2, the information processing device 10 may estimate a period during which the wearer W1 can wear the worn article when the score is equal to or greater than a threshold value according to the category of the worn article. For example, when the category of worn article #1 is "sports shoes," the information processing device 10 prioritizes ease of movement when worn, sets the score threshold to 95, and estimates a period during which the wearer W1 can wear the worn article #1 when the score is equal to or greater than 95 for each size of worn article #1.

[3-4. Score thresholds according to the wearable item worn by the wearer]
2, the information processing device 10 may estimate a period during which the wearer W1 can wear the worn article when the score is equal to or greater than a threshold value corresponding to the worn article previously worn by the wearer W1. For example, if the wearer W1 replaces the worn article when the score falls below 90, the information processing device 10 sets the score threshold to 90 and estimates a period during which the wearer W1 can wear the worn article #1 when the score is equal to or greater than 90 for each size of the worn article #1.

[3-5. Variable information based on wearer preferences]
2, the information processing device 10 may generate variation information based on the wearer W1's preference for worn articles (e.g., prefers larger sizes). For example, the variation information is generated based on the wearer information and the worn article information including evaluations of the worn articles from users who have children who wear the same preferences as the wearer W1.

[3-6. Fluctuation information based on the difference between the left and right feet of the wearer]
In the example of Fig. 2, the information processing device 10 may generate variation information based on the difference in shape between the left and right feet of the wearer W1. For example, the information processing device 10 generates variation information for the left and right feet of the wearer W1 separately according to the respective shapes. Then, the information processing device 10 estimates that a period during which the score based on the variation information generated for the left foot of the wearer W1 is 80 or more and the score based on the variation information generated for the right foot of the wearer W1 is 80 or more is a period during which the wearer W1 can comfortably wear the wearable article.

In addition, for example, when there is a difference in the shape of the left and right feet of the wearer W1, the information processing device 10 may generate variation information according to the shape of the larger foot, and estimate the period during which the wearer W1 can comfortably wear the wearable article based on the generated variation information.

[3-7. Information on wearable items]
In the example of Fig. 2, the information processing device 10 may identify candidates of wearable articles recommended for the wearer W1 to wear, based on information such as a history of wearable articles previously purchased by the user U1 in an electronic commerce service for the wearer W1 and outfits viewed in a coordination service. The information processing device 10 may then estimate a period during which the wearer W1 can comfortably wear the candidate based on variation information of the identified candidate, and provide information on the candidate together with information corresponding to the estimated period. The information processing device 10 may also provide information on the candidate with a priority according to the score or the period during which the score is 80 or higher.

4. Configuration of information processing device
Next, the configuration of the information processing device 10 will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example of the configuration of the information processing device 10 according to an embodiment. As shown in Fig. 4, the information processing device 10 has a communication unit 20, a storage unit 30, and a control unit 40.

(Regarding communication unit 20)
The communication unit 20 is realized by, for example, a network interface card (NIC), etc. The communication unit 20 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the user terminal 100, etc.

(Regarding the storage unit 30)
The storage unit 30 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 4 , the storage unit 30 has a worn item information database 31, a wearer information database 32, and a variation information database 33.

(About the Wearing Goods Information Database 31)
The worn article information database 31 stores various information related to worn articles. An example of information stored in the worn article information database 31 will be described with reference to Fig. 5. Fig. 5 is a diagram showing an example of the worn article information database 31 according to an embodiment. In the example of Fig. 5, the worn article information database 31 has items such as "worn article ID", "size information", "category information", and "material information".

"Worn item ID" indicates identification information for identifying the worn item. "Size information" indicates the size of the worn item. "Category information" indicates the category of the worn item. "Material information" indicates the material of the worn item.

In other words, FIG. 5 shows an example in which the size information of a worn item identified by a worn item ID "GID#1" is "size information #1", the category information is "category information #1", and the material information is "material information #1".

(Regarding the wearer information database 32)
The wearer information database 32 stores various information related to the wearer. An example of information stored in the wearer information database 32 will now be described with reference to Fig. 6. Fig. 6 is a diagram showing an example of the wearer information database 32 according to the embodiment. In the example of Fig. 6, the wearer information database 32 has items such as "wearer ID", "user ID", "attribute information", "growth information", "preference information", "shape information", and "purchase history".

"Wearer ID" indicates identification information for identifying the wearer. "User ID" indicates identification information for identifying a user who has a specific relationship with the wearer (e.g., the wearer's parent, etc.). "Attribute information" indicates the attributes of the wearer. "Growth information" indicates information related to the growth of the wearer's body and the part of the body where the wearer wears the wearable article, and stores, for example, information measured using a specific measuring means, the history of the information, and the wearer's growth level estimated based on the wearer's attributes. "Preference information" indicates the wearer's preference for the wearable article (e.g., preference estimated based on the purchase history of the wearable article). "Shape information" indicates information related to the part of the body where the wearer wears the wearable article. "Purchase history" indicates the history of the wearable articles purchased by the wearer and the history of the wearable articles estimated to have been purchased by the user for the wearer.

In other words, FIG. 6 shows an example in which a user having a predetermined relationship with a wearer identified by a wearer ID "WID#1" is identified by a user ID "UID#1", and the wearer's attribute information is "attribute information #1", growth information is "growth information #1", preference information is "preference information #1", shape information is "shape information #1", and purchase history is "purchase history #1".

(Regarding the variable information database 33)
The variable information database 33 stores information indicating changes in the comfort level of the worn article for the wearer over time. An example of information stored in the variable information database 33 will now be described with reference to Fig. 7. Fig. 7 is a diagram showing an example of the variable information database 33 according to the embodiment. In the example of Fig. 7, the variable information database 33 has items such as "wearer ID", "worn article ID", and "variable information".

"Wearer ID" indicates identification information for identifying the wearer. "Worn item ID" indicates identification information for identifying the worn item. "Change information" indicates the change in the comfort level of the worn item for the wearer over a period of time.

That is, FIG. 7 shows an example in which the change information indicating the change over time in the comfort level of a worn item identified by a worn item ID "GID#1" for a wearer identified by a wearer ID "WID#1" is "change information #1."

(Regarding the control unit 40)
The control unit 40 is a controller, and is realized, for example, by a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) executing various programs stored in a storage device inside the information processing device 10 using a RAM as a working area. The control unit 40 is also a controller, and is realized, for example, by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). As shown in FIG. 4, the control unit 40 according to the embodiment has an acquisition unit 41, a generation unit 42, a registration unit 43, an estimation unit 44, and a provision unit 45, and realizes or executes the functions and actions of information processing described below.

(Regarding the Acquisition Unit 41)
The acquisition unit 41 acquires wearer information related to a wearer. For example, in the example of FIG. 2 , the acquisition unit 41 acquires wearer information related to a wearer W1 from the user terminal 100 and stores the wearer information in the wearer information database 32.

(Regarding the generation unit 42)
The generating unit 42 generates, for each wearing article, variation information indicating a variation in the comfort level for the wearer W1 over time based on the wearing article information on the wearing article and the wearer information on the wearer. For example, in the example of Fig. 2, the generating unit 42 refers to the wearing article information database 31 and the wearer information database 32, and generates, for each wearing article, variation information indicating a variation in the comfort level for the wearer W1 over time based on the wearing article information on the wearing article and the wearer information.

The generating unit 42 may also generate variation information based on the attributes of the wearer. For example, in the example of FIG. 2, the generating unit 42 generates variation information indicating the variation in the comfort level for the wearer W1 over time for each worn article based on the attributes of the wearer W1.

The generating unit 42 may also generate variation information based on the degree of growth of the wearer. For example, in the example of FIG. 2, the generating unit 42 generates variation information indicating the variation in the comfort level for the wearer W1 over time for each worn article based on information indicating the degree of growth of the wearer W1's feet.

The generating unit 42 may also generate the variation information based on the wearer's preferences for the worn item. For example, in the example of FIG. 2, the generating unit 42 generates the variation information based on the wearer information and the worn item information including evaluations of the worn item from users who have children who wear the same preferences as the wearer W1.

The generation unit 42 may also generate the variation information based on the shape of the part of the body where the wearer wears the wearable article. For example, in the example of FIG. 2, the generation unit 42 generates the variation information based on information indicating the shape of the foot of the wearer W1.

The generating unit 42 may also generate variation information based on the difference in shape between corresponding parts of the body where the wearer wears the wearable article. For example, in the example of FIG. 2, the generating unit 42 generates variation information for the left foot and the right foot of the wearer W1 separately according to their respective shapes. Furthermore, when there is a difference in shape between the left and right feet of the wearer W1, the generating unit 42 generates variation information according to the shape of the larger foot.

The generating unit 42 may also generate variation information based on the material of the worn article. For example, in the example of FIG. 2, the generating unit 42 generates variation information indicating the variation in the comfort level for the wearer W1 over a period of time for each worn article based on the material of the worn article.

(Regarding the registration unit 43)
The registration unit 43 registers the variation information generated by the generation unit 42. For example, in the example of Fig. 2, the registration unit 43 registers (stores) the variation information F1, F2, F3, ... in the variation information database 33 in association with the wearer W1.

(Regarding the Estimation Unit 44)
The estimation unit 44 estimates a period during which the wearer can wear the wearing article with a predetermined comfort level or higher based on the variation information indicating the variation over time of the comfort level of the wearing article for the wearer. For example, in the example of Fig. 2, the estimation unit 44 refers to the variation information database 33 and estimates, based on the variation information, that the period during which each size of the wearing article is worn and the score is 80 or higher is the period during which the wearer W1 can wear the wearing article comfortably.

The estimation unit 44 may also estimate a period during which the wearer can wear the wearable item at a comfort level equal to or higher than the comfort level set by the recipient. For example, in the example of FIG. 2, the estimation unit 44 estimates a period during which the wearer W1 can wear the wearable item at a comfort level equal to or higher than the threshold value set by the user U1.

The estimation unit 44 may also estimate a period during which the wearer can wear the worn article with a comfort level or higher according to the category of the worn article. For example, in the example of FIG. 2, when the category of worn article #1 is "sports shoes," the estimation unit 44 prioritizes ease of movement when worn, sets the score threshold to 95, and estimates a period during which worn article #1 can be worn with a score of 95 or higher for each size of worn article #1.

The estimation unit 44 may also estimate a period during which the wearer can wear the worn article with a comfort level or higher corresponding to the worn article worn by the wearer. For example, in the example of FIG. 2, if the wearer W1 replaces the worn article when the score falls below 90, the estimation unit 44 sets the score threshold to 90 and estimates a period during which the wearer can wear the worn article #1 with a score of 90 or higher for each size of the worn article #1.

The estimation unit 44 may also estimate a period during which the wearer can wear the wearable article with a predetermined comfort level or higher based on the variation information based on the attributes of the wearer. For example, in the example of FIG. 2, the estimation unit 44 estimates that, among the periods during which each size of the wearable article is worn, the period during which the score is 80 or higher is the period during which the wearer W1 can wear the wearable article comfortably based on the variation information based on the attributes of the wearer W1.

The estimation unit 44 may also estimate a period during which the wearer can wear the wearable article with a predetermined comfort level or higher based on variation information based on the wearer's growth level. For example, in the example of FIG. 2, the estimation unit 44 estimates that the period during which the wearer W1 wears each size of the wearable article and the score is 80 or higher is the period during which the wearer W1 can wear the wearable article comfortably based on variation information based on the growth level of the wearer's feet.

The estimation unit 44 may also estimate a period during which the wearer can wear the wearable article with a predetermined comfort level or higher based on the variation information based on the wearer's preferences for the wearable article. For example, in the example of FIG. 2, the estimation unit 44 estimates that, among the periods during which each size of the wearable article is worn by the wearer W1, the period during which the score is 80 or higher is the period during which the wearer W1 can wear the wearable article comfortably based on the variation information based on the wearer's preferences for the wearable article.

The estimation unit 44 may also estimate a period during which the wearer can wear the wearable article with a predetermined comfort level or higher based on variation information based on the shape of the part of the body where the wearer wears the wearable article. For example, in the example of FIG. 2, the estimation unit 44 estimates that, among the periods during which each size of the wearable article is worn, the period during which the score is 80 or higher is the period during which the wearer W1 can wear the wearable article comfortably, based on variation information based on information indicating the shape of the wearer W1's foot.

The estimation unit 44 may also estimate a period during which the wearer can wear the worn article with a predetermined level of comfort or higher based on variation information based on the difference in shape of each corresponding part of the body where the wearer wears the worn article. For example, in the example of FIG. 2, the estimation unit 44 estimates that a period during which the wearer W1 can wear the worn article comfortably is a period during which the score based on the variation information generated for the left foot of the wearer W1 is 80 or higher and the score based on the variation information generated for the right foot of the wearer W1 is 80 or higher. Furthermore, when there is a difference in shape between the left and right feet of the wearer W1, the estimation unit 44 estimates a period during which the wearer W1 can wear the worn article comfortably based on the variation information generated according to the shape of the larger foot.

The estimation unit 44 may also estimate a period during which the wearer can wear the worn article with a predetermined comfort level or higher based on the variation information based on the material of the worn article. For example, in the example of FIG. 2, the estimation unit 44 estimates that, among the periods during which each size of the worn article is worn, the period during which the score is 80 or higher is the period during which the wearer W1 can wear the worn article comfortably based on the variation information based on the material of the worn article.

(Regarding the providing unit 45)
The providing unit 45 provides, to a predetermined destination, the information corresponding to the period estimated by the estimating unit 44. For example, in the example of Fig. 2, the providing unit 45 provides the information corresponding to the period estimated by the estimating unit 44 to the user terminal 100 via an electronic commerce service.

The providing unit 45 may also provide information indicating a period. For example, in the example of FIG. 2, the providing unit 45 provides information indicating a period during which the wearer W1 can comfortably wear the worn article for each size of the worn article for which information provision has been requested.

The providing unit 45 may also provide the wearer with information indicating the timing at which the worn article will fall below a predetermined comfort level. For example, in the example of FIG. 2, the providing unit 45 provides information indicating the size of the worn article and the period during which the size can be worn comfortably "from now until three months from now" (in other words, the score will be less than 80 from three months onward), as shown on screen C1.

The providing unit 45 may also provide the wearer with information indicating the timing at which the worn article will reach a predetermined comfort level or higher. For example, in the example of FIG. 2, the providing unit 45 provides information indicating the size of the worn article and the period during which the size can be worn comfortably "from 4 months to 10 months" (in other words, the score will be 80 or higher from 4 months onward), as shown on screen C1.

The providing unit 45 may also provide the wearer with information about a second wearing item having a predetermined comfort level or higher at a timing when the first wearing item falls below a predetermined comfort level. For example, in the example of FIG. 2, the providing unit 45 provides information about a wearing item having a score of 80 or higher at the time of replacement shown on the screen C2.

The providing unit 45 may also provide information about the second worn article a predetermined period before the timing. For example, in the example of FIG. 2, the providing unit 45 provides, a predetermined period before the replacement timing, information shown on the screen C2 and information about worn articles that have a score of 80 or more at the time of replacement.

The providing unit 45 may also provide information about worn articles whose duration is equal to or greater than a predetermined threshold. For example, in the example of FIG. 2, the providing unit 45 provides information about worn articles of a size whose duration has a score of 80 or greater is equal to or greater than 6 months.

The providing unit 45 may also provide information about worn articles that have been there for a longer period of time with a higher priority. For example, in the example of FIG. 2, when providing information about worn articles, the providing unit 45 provides information about worn articles that have had a score of 80 or more for a longer period of time with a higher priority.

5. Information Processing Flow
The procedure of information processing of the information processing device 10 according to the embodiment will be described with reference to Fig. 8. Fig. 8 is a flowchart showing an example of the procedure of information processing according to the embodiment.

As shown in FIG. 8, the information processing device 10 determines whether or not wearer information regarding the wearer has been acquired (step S101). If wearer information has not been acquired (step S101; No), the information processing device 10 waits until wearer information is acquired.

On the other hand, if wearer information has been acquired (step S101; Yes), the information processing device 10 generates, for each worn article, variation information indicating the variation in comfort level for the wearer over time based on the worn article information related to the worn article and the wearer information (step S102). Next, the information processing device 10 registers the variation information (step S103). Next, the information processing device 10 estimates a period during which the wearer can wear the worn article with a predetermined comfort level or higher based on the variation information (step S104). Next, the information processing device 10 provides information corresponding to the period to a predetermined destination (step S105), and ends the process.

6. Modifications
The above-described embodiment is merely an example, and various modifications and applications are possible.

[6-1. About the wearer]
In the above embodiment, an example in which the wearer is a child is shown, but the wearer is not limited to this example. For example, the wearer may be an adult whose physical growth has stopped. In addition, in the above embodiment, an example in which the information is provided by the information processing device 10 to a user different from the wearer is shown, but the information is not limited to this example, and the information may be provided to the wearer himself/herself.

[6-2. About wearable items]
In the above embodiment, the worn article is a shoe, but the worn article is not limited to this example and may be any article that changes to an appropriate size according to the wearer's physical growth and physical changes (such as changes in body shape). For example, the worn article may be a top, bottom, accessory, etc.

6-3. Processing Mode
Among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, and conversely, all or part of the processes described as being performed manually can be performed automatically by a known method. In addition, the information including the processing procedures, specific names, various data and parameters shown in the above text and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

Furthermore, the above-mentioned embodiments can be combined as appropriate to the extent that the processing content is not contradictory.

7. Effects
As described above, the information processing device 10 according to the embodiment includes an acquisition unit 41, a generation unit 42, a registration unit 43, an estimation unit 44, and a provision unit 45. The acquisition unit 41 acquires wearer information related to the wearer. The generation unit 42 generates, for each worn article, variation information indicating a variation in comfort level for the wearer over time based on worn article information related to the worn article and wearer information related to the wearer. The registration unit 43 registers the variation information generated by the generation unit 42. The estimation unit 44 estimates a period during which the wearer can wear the worn article with a predetermined comfort level or higher based on the variation information indicating a variation in comfort level of the worn article for the wearer over time. The provision unit 45 provides information corresponding to the period estimated by the estimation unit 44 to a predetermined destination.

As a result, the information processing device 10 according to the embodiment can generate, for each worn article, variation information indicating the variation in the comfort level for the wearer over time, estimate the period during which the wearer can wear the worn article comfortably based on the variation information, and provide information corresponding to the estimated period, thereby generating information regarding the period during which the wearer can wear the worn article comfortably and presenting information regarding worn articles that the wearer can wear comfortably.

In the information processing device 10 according to the embodiment, for example, the generation unit 42 generates variation information based on the attributes of the wearer. The generation unit 42 generates variation information based on the degree of growth of the wearer. The generation unit 42 generates variation information based on the wearer's preferences for the wearable item. The generation unit 42 generates variation information based on the shapes of the parts of the body where the wearer wears the wearable item. The generation unit 42 generates variation information based on the difference in shapes of corresponding parts of the body where the wearer wears the wearable item. The generation unit 42 generates variation information based on the material of the wearable item.

As a result, the information processing device 10 according to the embodiment can generate variation information based on various types of information, thereby improving the accuracy of estimating the period during which the wearer can comfortably wear the wearable article.

In the information processing device 10 according to the embodiment, for example, the estimation unit 44 estimates a period during which the wearer can wear the wearable item at a comfort level equal to or higher than the comfort level set by the provider. The estimation unit 44 also estimates a period during which the wearer can wear the wearable item at a comfort level equal to or higher than the category of the wearable item. The estimation unit 44 also estimates a period during which the wearer can wear the wearable item at a comfort level equal to or higher than the comfort level corresponding to the wearable item worn by the wearer.

As a result, the information processing device 10 according to the embodiment can estimate the period during which the worn article can be worn comfortably depending on the wearer and the worn article, thereby improving convenience.

In the information processing device 10 according to the embodiment, for example, the estimation unit 44 estimates a period during which the wearer can wear the worn article with a predetermined level of comfort or higher based on variation information based on the attributes of the wearer. The estimation unit 44 also estimates a period during which the wearer can wear the worn article with a predetermined level of comfort or higher based on variation information based on the wearer's growth level. The estimation unit 44 also estimates a period during which the wearer can wear the worn article with a predetermined level of comfort or higher based on variation information based on the wearer's preferences for the worn article. The estimation unit 44 also estimates a period during which the wearer can wear the worn article with a predetermined level of comfort or higher based on variation information based on the shape of the part of the body where the wearer wears the worn article. The estimation unit 44 also estimates a period during which the wearer can wear the worn article with a predetermined level of comfort or higher based on variation information based on the difference in shape of each corresponding part of the part of the body where the wearer wears the worn article. The estimation unit 44 also estimates a period during which the wearer can wear the worn article with a predetermined level of comfort or higher based on variation information based on the material of the worn article.

As a result, the information processing device 10 according to the embodiment can estimate the period during which the wearer can comfortably wear the wearable article using the variation information generated based on various information, thereby improving the accuracy of the information provided.

In the information processing device 10 according to the embodiment, for example, the providing unit 45 provides information indicating a period. The providing unit 45 also provides the wearer with information indicating the timing when the worn article will be below a predetermined comfort level. The providing unit 45 also provides the wearer with information indicating the timing when the worn article will be at or above a predetermined comfort level. The providing unit 45 also provides the wearer with information on a second worn article having a predetermined comfort level or higher at the timing when the first worn article is below the predetermined comfort level. The providing unit 45 also provides information on the second worn article a predetermined period before the timing. The providing unit 45 also provides information on worn articles whose duration is at or above a predetermined threshold. The providing unit 45 also provides information on worn articles having a longer duration with priority.

As a result, the information processing device 10 according to the embodiment can provide information according to the period during which the wearer can comfortably wear the wearable article, thereby providing a guideline for purchasing the wearable article.

8. Hardware Configuration
The information processing device 10 according to each of the above-described embodiments is realized, for example, by a computer 1000 having a configuration as shown in Fig. 9. The information processing device 10 will be described below as an example. Fig. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device 10. The computer 1000 has a CPU 1100, a ROM 1200, a RAM 1300, a HDD 1400, a communication interface (I/F) 1500, an input/output interface (I/F) 1600, and a media interface (I/F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1200 or the HDD 1400, and controls each component. The ROM 1200 stores a boot program executed by the CPU 1100 when the computer 1000 is started, and programs that depend on the hardware of the computer 1000, etc.

HDD 1400 stores programs executed by CPU 1100 and data used by such programs. Communication interface 1500 receives data from other devices via communication network 500 (corresponding to network N in the embodiment) and sends it to CPU 1100, and also transmits data generated by CPU 1100 to other devices via communication network 500.

The CPU 1100 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse, via the input/output interface 1600. The CPU 1100 acquires data from the input devices via the input/output interface 1600. The CPU 1100 also outputs data generated via the input/output interface 1600 to the output devices.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1300. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1300 via the media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable Disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

For example, when the computer 1000 functions as the information processing device 10, the CPU 1100 of the computer 1000 executes a program loaded onto the RAM 1300 to realize the functions of the control unit 40. In addition, the HDD 1400 stores each piece of data in the storage device of the information processing device 10. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be obtained from another device via a specified communication network.

[9. Other]
Although some of the embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be embodied in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the forms described in the Disclosure of the Invention section.

In addition, the configuration of the information processing device 10 described above can be flexibly changed, for example, by calling an external platform, etc., using an API (Application Programming Interface) or network computing, depending on the function.

In addition, the word "unit" in the claims can be read as "means" or "circuit." For example, an acquisition unit can be read as an acquisition means or an acquisition circuit.

REFERENCE SIGNS LIST 10 Information processing device 20 Communication unit 30 Storage unit 31 Wearing item information database 32 Wearer information database 33 Variable information database 40 Control unit 41 Acquisition unit 42 Generation unit 43 Registration unit 44 Estimation unit 45 Provision unit 100 User terminal

Claims (4)

an estimation unit that estimates a comfortable size, which is a size of the wearing article that can be worn comfortably at the present time, and a comfortable period, which is a period during which the comfortable size can be worn comfortably, based on wearing article information including information indicating each size of the wearing article, information indicating a size or shape of a part of a body where the wearer wears the wearing article, and wearer information including information indicating a growth level of the wearer;
An information processing device comprising: The estimation unit further estimates a comfort level of the wearer when wearing the wearing article of the comfortable size at the current time based on the worn article information and the wearer information.
The information processing device according to claim 1 . The information processing device according to claim 1, which performs control to display the comfortable period corresponding to the comfortable size estimated by the estimation unit. The information processing device according to claim 2, which performs control to display the comfort period and the comfort level corresponding to the comfort size estimated by the estimation unit.

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