Information processing device, information processing method, and program
By designing the estimation unit and the provision unit of the information processing device, the wearer can wear comfortably based on the change information, and provides corresponding information, solving the problem of information related to the wearer that cannot be effectively prompted by the wearer to wear comfortably, and achieving accurate information generation and user experience improvement.
Patent Information
- Application Number
- CN202380079914.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2022-11-18
- Filing Date
- 2023-10-27
- Publication Date
- 2025-07-01
AI Technical Summary
The prior art cannot effectively prompt information related to wearable items that the wearer can wear comfortably, and generate information related to wearable items that the wearer can wear comfortably.
An information processing device is designed, and the estimation unit estimates that the wearer can wear a wearable article with a comfort level of more than a predetermined comfort level by the estimation unit, and provides information corresponding to the estimated period by the provision unit.
It realizes the generation of information related to the wearable item that the wearable can wear comfortably, and prompts information related to the wearable item that the wearable can wear comfortably, improving the accuracy of information processing and user experience.
Smart Images

Figure CN120239870A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to an information processing device and the like. Background Art
[0002] Conventionally, a technique for providing clothing-related information corresponding to a change in the body shape of a wearer has been proposed. As an example of such a technique, the following technique is known: When selecting children's clothing as a product to be purchased, the allowable size of the children's clothing is obtained from a clothing database that holds the body size that can wear the children's clothing as the allowable size, the body size and age of a child user are input, the growth pattern data of the child user is obtained from a growth pattern database, and the wearable period of the children's clothing is predicted based on the allowable size and the growth pattern.
[0003] Prior Art Documents
[0004] Patent Documents
[0005] Patent Document 1: Japanese Patent Application Laid-Open No. 2007-265077 Summary of the Invention
[0006] Technical Problem to be Solved by the Invention
[0007] However, in the above technique, it cannot be said that information related to wearable items that a wearer can comfortably wear can be presented. In addition, it cannot be said that information related to the period during which a wearer can comfortably wear wearable items can be generated.
[0008] For example, in the above technique, only a configuration for determining the limit date / time, which is the period when the body size of a child user exceeds the allowable range of the selected children's clothing, and displaying it on the screen is described, and it cannot be said that information related to wearable items that a wearer can comfortably wear can be presented. In addition, in the above technique, only a configuration for determining the limit date / time, which is the period when the body size of a child user exceeds the allowable range of the selected children's clothing, is described, and it cannot be said that information related to the period during which a wearer can comfortably wear wearable items can be generated.
[0009] An object of the present application is to provide a new information processing technology that focuses on the fact that there is a limit to the period during which a wearer can comfortably wear wearable items.
[0010] Technical Solution for Solving the Technical Problem
[0011] One aspect of the present invention relates to an information processing apparatus, comprising: an estimation unit that estimates, based on variation information, a period during which a wearer can wear a wearable item with a comfort level equal to or higher than a specified comfort level, the variation information indicating a variation corresponding to the passage of time in the comfort level of the wearable item for the wearer; and a provision unit that provides information corresponding to the period estimated by the estimation unit to a specified provision target.
[0012] Another aspect of the present invention relates to an information processing apparatus, comprising: a generation unit that generates, for each of a plurality of the wearable items, variation information indicating a variation corresponding to the passage of time in the comfort level for the wearer, based on wearable item information related to each of the plurality of the wearable items and wearer information related to the wearer; and a registration unit that registers the variation information generated by the generation unit. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 FIG. is a diagram showing a configuration example of an information processing system 1 according to an embodiment.
[0014] Figure 2 FIG. is a diagram showing an example of information processing according to an embodiment.
[0015] Figure 3A FIG. is a diagram showing an example of a screen of a user terminal 100 according to an embodiment.
[0016] Figure 3B FIG. is a diagram showing an example of a screen of a user terminal 100 according to an embodiment.
[0017] Figure 4 FIG. is a diagram showing a configuration example of an information processing apparatus 10 according to an embodiment.
[0018] Figure 5 FIG. is a diagram showing an example of a wearable item information database 31 according to an embodiment.
[0019] Figure 6 FIG. is a diagram showing an example of a wearer information database 32 according to an embodiment.
[0020] Figure 7 FIG. is a diagram showing an example of a variation information database 33 according to an embodiment.
[0021] Figure 8 FIG. is a flowchart showing an example of a process of information processing according to an embodiment.
[0022] Figure 9 FIG. is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus 10. DETAILED DESCRIPTION OF THE INVENTION
[0023] Hereinafter, with reference to the accompanying drawings, a mode (hereinafter referred to as "embodiment") for implementing the information processing apparatus, information processing method, and information processing program according to the present application will be described in detail. It should be noted that the information processing apparatus, information processing method, and information processing program according to the present application are not limited by this embodiment. In addition, in the following embodiments, the same reference numerals are assigned to the same parts and repeated descriptions are omitted.
[0024] (Embodiment)
[0025] [1. Configuration of Information Processing System]
[0026] First, the information processing system 1 according to the embodiment will be described. Figure 1 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As Figure 1 shown, the information processing system 1 includes an information processing apparatus 10 and a user terminal 100. The information processing apparatus 10 is connected to the user terminal 100 in a communicable manner via a predetermined communication network (network N) by wire or wirelessly. It should be noted that Figure 1 the information processing system 1 shown may also include multiple information processing apparatuses 10 and multiple user terminals 100.
[0027] The information processing apparatus 10 is an information processing apparatus for processing information related to wearable items that a wearer can comfortably wear, and is implemented, for example, by a server apparatus, a cloud system, etc. For example, the information processing apparatus 10 provides an e-commerce service for wearable items such as shoes to a user (such as the parent of the wearer), and provides information related to the wearable item to the user via the e-commerce service.
[0028] It should be noted that the information processing apparatus 10 may also have the function of a Web server for a website related to the provided service. In addition, the information processing apparatus 10 may also be a device that distributes the information displayed by applications related to various services installed on the user terminal 100. In addition, the information processing apparatus 10 may also be a device that distributes the application data itself.
[0029] In addition, the information processing apparatus 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, by a scripting language such as JavaScript (registered trademark) or a style sheet language such as CSS (Cascading Style Sheets). It should be noted that the application itself distributed from the information processing apparatus 10 may also be regarded as control information.
[0030] The user terminal 100 is an information processing device used by a user. The user terminal 100 is implemented, for example, by a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), etc. In addition, the user terminal 100 displays information distributed by the information processing device 10, a server device providing a prescribed service, etc. through a web browser, an application. It should be noted that in Figure 2 the example shown, the case where the user terminal 100 is a smartphone is shown.
[0031] 〔2. An Example of Information Processing〕
[0032] Next, an example of information processing implemented by the information processing device and the like according to the present embodiment will be described using Figure 2 . Figure 2 is a diagram showing an example of information processing according to the embodiment. It should be noted that in the following description, it is assumed that the user terminal 100 is used by a user (user U1) identified by the user ID "UID#1". In addition, in the following description, the user terminal 100 may sometimes be regarded as the same as the user U1. That is, hereinafter, the user U1 may also be referred to as the user terminal 100.
[0033] In addition, in the following description, an example is shown in which a wearer (wearer W1) identified by the wearer ID "WID#1" is the child of the user U1. In addition, in the following description, an example in which the wearable item is shoes is shown.
[0034] First, the information processing device 10 acquires wearer information related to the wearer W1 from the user terminal 100 (step S1). For example, the information processing device 10 acquires wearer information including the attributes of the wearer W1 (such as gender, age, etc.), the shape of the part (foot) where the wearer W1 wears the wearable item, the growth degree of the wearer W1's foot, etc. To give a specific example, by photographing the surroundings of the wearer W1's foot placed on a prescribed mat with the user terminal 100, the information processing device 10 creates a 3D model of the foot based on the points (markers) attached to the mat, and acquires information (such as the overall shape of the foot, the shape of the toenail, the size of the foot, the width of the foot, whether it is flat-footed, etc.) measured by a measurement unit capable of measuring the size of the foot and toes as information representing the shape of the wearer W1's foot. In addition, the information processing device 10 acquires the growth degree of the wearer W1's foot estimated based on the information measured by the above measurement unit, the attributes of the wearer W1, etc.
[0035] It should be noted that the growth degree of the foot of the wearer W1 can be the average value in the attributes of the wearer W1, or can be estimated based on the average value and the information measured by the above-mentioned measurement unit (i.e., the measured value). In addition, the growth degree of the foot of the wearer W1 can also be estimated based on the information related to the wearer W1 input by the user U1 (such as height, weight, attributes, etc.), the images of the body of the wearer W1 (such as the images obtained by photographing the body of the wearer W1 from various angles), etc.
[0036] Next, the information processing device 10 generates variation information that changes corresponding to the passage of time and represents the comfort level for the wearer W1 for each wearable item based on the wearable item information and the wearer information related to the wearable item (step S2). For example, the information processing device 10 is based on wearable item information including the size of the wearable item, the raw material of the wearable item, information indicating the evaluation of the wearable item by the user who purchased the wearable item (for example, the evaluation from the user of a wearer among children whose wearer information is similar to that of the wearer W1), etc., and wearer information including information indicating the shape of the foot of the wearer W1, information indicating the growth degree of the foot of the wearer W1 within a specified period (in the Figure 2 example, the period from the current time to 12 months later), etc., to calculate the comfort level of the wearable item for the wearer W1 at each time point within this period (for example, a score representing a value from "0 (very poor)" to "100 (very good)"), and generates variation information after graphing the calculated comfort level.
[0037] Taking a specific example, the information processing device 10 generates variation information F1, which represents G1-1 obtained by graphing the scores of the wearable item #1 with a size of 12 cm, G1-2 obtained by graphing the scores of the wearable item #1 with a size of 12.5 cm, G1-3 obtained by graphing the scores of the wearable item #1 with a size of 13 cm, and G1-4 obtained by graphing the scores of the wearable item #1 with a size of 13.5 cm. Similarly, the information processing device 10 generates variation information F2 obtained by graphing the scores of each size of the wearable item #2, variation information F3 obtained by graphing the scores of each size of the wearable item #3, etc.
[0038] To give more specific examples, in the case where wearable items #1 and #2 are of the same size, but wearable item #2 is designed to be tightened (for example, in the case where wearable item #2 is made of a non-stretchable raw material), the information processing device 10 generates variation information F2 that represents a curve with a steeper shape than variation information F1 (in other words, the period during which it can be comfortably worn is short). Additionally, in the case where wearable items #1 and #3 are of the same size, but wearable item #3 is designed to be loose (for example, in the case where wearable item #3 is made of a stretchable raw material), the information processing device 10 generates variation information F3 that represents a curve with a gentler shape than variation information F1 (in other words, the period during which it can be comfortably worn is long).
[0039] Furthermore, in the case where the size grading of wearable item #3 is larger than that of wearable item #1 (for example, in the case where the size of wearable item #3 is in 1 cm increments and the size of wearable item #1 is in 0.5 cm increments), the information processing device 10 generates variation information F3 that represents a curve with a gentler shape than variation information F1.
[0040] Next, the information processing device 10 registers the variation information in the storage unit of this device (step S3). For example, the information processing device 10 registers variation information F1, F2, F3,... corresponding to the wearer W1 in the storage unit of this device.
[0041] Next, the information processing device 10 receives a request for providing information related to the wearable item from the user terminal 100 (step S4). For example, the information processing device 10 receives a request for providing information related to the wearable item corresponding to the search query input by the user U1 in an e-commerce service.
[0042] It should be noted that the information processing device 10 may also acquire wearer information together with the request for providing information related to the wearable item. Then, the information processing device 10 may generate variation information based on the acquired wearer information, or update the variation information registered corresponding to the wearer W1.
[0043] Here, in Figure 2 this example, it is assumed that a request for providing information related to wearable items including wearable items #1 to #3 is received from the user terminal 100. In this case, the information processing device 10 estimates the period during which the wearer W1 can comfortably wear the wearable items for which there is a request for providing information (step S5). For example, based on the variation information, the information processing device 10 estimates the period during which the score is 80 or more among the periods for wearing each size of the wearable item as the period during which the wearer W1 can comfortably wear.
[0044] Taking specific examples, since the score of wearable item #1 with the size corresponding to the curve graph G1-1 of the change information F1 is 80 or more during the period from the current time point to 4 months later, the information processing device 10 estimates this period as the period during which the wearer W1 can comfortably wear the wearable item #1 of this size. In addition, since the score of wearable item #1 with the size corresponding to the curve graph G1-2 of the change information F1 is 80 or more during the period from 3 months after the current time point to 8 months after, this period is estimated as the period during which the wearer W1 can comfortably wear the wearable item #1 of this size. The same estimation is also performed for the curve graph G1-3 and the curve graph G1-4.
[0045] It should be noted that the information processing device 10 can also estimate the period from the current time point to the time point when the curve graphs G1-1 and G1-2 intersect at point P1-1 (in other words, the time point when it is recommended to repurchase the size corresponding to the curve graph G1-1 for the size corresponding to the curve graph G1-2) as the period during which the wearer W1 can comfortably wear the wearable item #1 with the size corresponding to the curve graph G1-1 of the change information F1.
[0046] In addition, since the score of wearable item #2 with the size corresponding to the curve graph G2-1 of the change information F2 is 80 or more during the period from the current time point to 2 months later, the information processing device 10 estimates this period as the period during which the wearer W1 can comfortably wear the wearable item #2 of this size. The same estimation is also performed for the curve graphs G2-2 to G2-7.
[0047] In addition, since the score of wearable item #3 with the size corresponding to the curve graph G3-1 of the change information F3 is 80 or more during the period from 1 month after the current time point to 8 months after, the information processing device 10 estimates this period as the period during which the wearer W1 can comfortably wear the wearable item #3 of this size. The same estimation is also performed for the curve graph G3-2.
[0048] Next, the information processing device 10 provides the information corresponding to the period estimated in step S5 to the user terminal 100 via the e-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 score at the current time point, etc. for each size of the wearable item for which there is a request for information provision.
[0049] Here, Figure 3A and Figure 3B are used to illustrate an example of the information provided to the user terminal 100. Figure 3A and Figure 3B is a diagram showing an example of the screen of the user terminal 100 according to the embodiment.
[0050] As Figure 3A shown, the user terminal 100 displays a screen C1, and the screen C1 shows the size of the wearable item, the score of the size at the current time point, the period (fitting period) during which the size can be worn comfortably, and so on.
[0051] Here, the information processing device 10 may further provide the user terminal 100 with information related to the wearable items that the user U1 has purchased in the past in the e-commerce service (in other words, the wearable items that the wearer W1 is currently wearing), and information indicating the growth degree of the feet of the wearer W1. For example, as Figure 3B shown, the user terminal 100 displays a screen C2, and the screen C2 shows a curve indicating the growth degree of the feet of the wearer W1, the period when the wearer W1 purchased the wearable item of the size currently being worn, and the period when the score of the wearable item is less than 80 or the period when the score of the wearable item of other sizes is higher than the score of this wearable item (re-purchase period).
[0052] It should be noted that the information processing device 10 may also provide information related to the wearable items with a score of 80 or more during the re-purchase period. In addition, the information processing device 10 may provide the information shown in the screen C2 and the information related to the wearable items with a score of 80 or more during the re-purchase period at a time point before a specified period from the re-purchase period (for example, one month ago).
[0053] As described above, the information processing device 10 according to the embodiment generates variation information indicating the variation corresponding to the passage of time of the comfort level for the wearer W1 for each wearable item based on the wearable item information related to the wearable item and the wearer information related to the wearer, estimates the period during which the wearer W1 can wear the wearable item comfortably based on the variation information, and provides information corresponding to the estimated period. Thus, the information processing device 10 according to the embodiment can generate information related to the period during which the wearer can wear the wearable item comfortably, and prompt information related to the wearable item that the wearer can wear comfortably.
[0054] 〔3. Other processing examples〕
[0055] It should be noted that the above processing is just an example, and the information processing device 10 may also perform various processes using various information. Regarding this, examples are listed below.
[0056] 〔3-1. Regarding the provision of information corresponding to the period〕
[0057] In Figure 2In the example, for a request to provide information related to a wearable item, the information processing device 10 can also provide the user terminal 100 with information related to the size of the wearable item during a period when the score is 80 or more and above a specified threshold (for example, 6 months or more). Here, the specified threshold can also be set by the user U1.
[0058] In addition, when the information processing device 10 provides information related to a wearable item, it can give priority to providing the user terminal 100 with information related to the wearable item with a longer period when the score is 80 or more.
[0059] 〔3-2. Regarding the user's setting of the score threshold〕
[0060] In Figure 2 the example, the information processing device 10 can also estimate the period during which the wearer W1 can wear the wearable item above the threshold set by the user U1 based on the score. For example, assume that even though there is a slight difference between the wearer's foot and the size of the wearable item, the user U1 hopes to buy a wearable item that can be worn for as long as possible and sets the score threshold to 70. In this case, since the wearable item #3 with the size corresponding to the curve graph G3-1 of the variation information F3 has a score of 70 or more during the period from the current time point to 8.5 months later, the information processing device 10 estimates this period as the period during which the wearer W1 can comfortably wear the wearable item #3 of this size.
[0061] In addition, for example, assume that the user U1 values the activity convenience during wearing and sets the score threshold to 95. In this case, since the wearable item #1 with the size corresponding to the curve graph G1-1 of the variation information F1 has a score of 95 or more during the period from 1 month after the current time point to 3 months later, the information processing device 10 estimates this period as the period during which the wearer W1 can comfortably wear the wearable item #1 of this size. In addition, since the wearable item #2 with the size corresponding to the curve graph G2-1 of the variation information F2 has a score of 95 or more during the period from the current time point to 1.5 months later, the information processing device 10 estimates this period as the period during which the wearer W1 can comfortably wear the wearable item #2 of this size.
[0062] 〔3-3. Regarding the score threshold corresponding to the category of the wearable item〕
[0063] In Figure 2In the example, the information processing device 10 may also estimate the period during which the wearer W1 can wear the wearable item with a score equal to or higher than the threshold corresponding to the category of the wearable item. For example, when the category of the wearable item #1 is "sports shoes", the information processing device 10 emphasizes the activity convenience during wearing and sets the threshold of the score to 95, and estimates the period during which the wearable item #1 can be worn with a score of 95 or higher for each size of the wearable item #1.
[0064] [3-4. Regarding the threshold of the score corresponding to the wearable item worn by the wearer]
[0065] In Figure 2 the example, the information processing device 10 may also estimate the period during which the wearer W1 can wear the wearable item with a score equal to or higher than the threshold corresponding to the wearable item previously worn by the wearer W1. For example, when the wearer W1 repurchased the wearable item when the score was less than 90, the information processing device 10 sets the threshold of the score to 90, and estimates the period during which the wearable item #1 can be worn with a score of 90 or higher for each size of the wearable item #1.
[0066] [3-5. Regarding the variation information based on the preferences of the wearer]
[0067] In Figure 2 the example, the information processing device 10 may also generate variation information based on the preference of the wearer W1 for the wearable item (for example, liking loose). For example, the variation information is generated based on the wearable item information and the wearer information including the evaluations of the wearable item by users with preferences similar to those of the wearer W1 among children.
[0068] [3-6. Regarding the variation information based on the left-right difference of the wearer's feet]
[0069] In Figure 2 the example, the information processing device 10 may also generate variation information based on the difference in the shapes of the left and right feet of the wearer W1. For example, the information processing device 10 separately generates variation information corresponding to the respective shapes for the left foot and the right foot of the wearer W1. Then, for the wearable item, the information processing device 10 estimates the period during which the wearer W1 can comfortably wear the wearable item as the period when 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.
[0070] In addition, for example, when there is a difference in the shapes of the left and right feet of the wearer W1, the information processing device 10 may generate variation information corresponding to the shape of the larger foot and estimate the period during which the wearer W1 can comfortably wear the wearable item based on the generated variation information.
[0071] [3-7. Wearable Items as Information Provision Targets]
[0072] In Figure 2 this example, the information processing device 10 can also determine candidates for wearable items recommended for the wearer W1 based on information such as the history of wearable items for the wearer W1 that the user U1 has purchased in the past in the e-commerce service, and the combinations viewed in the coordination service. Then, the information processing device 10 can also estimate the period during which the wearer W1 can comfortably wear the candidates based on the change information of the determined candidates, and provide information related to the candidates together with information corresponding to the estimated period. In addition, the information processing device 10 can also provide information related to the candidates according to the score level and the priority corresponding to the period when the score is 80 or more.
[0073] [4. Configuration of Information Processing Device]
[0074] Next, Figure 4 the configuration of the information processing device 10 will be described. Figure 4 is a diagram showing a configuration example of the information processing device 10 according to the embodiment. As Figure 4 shown, the information processing device 10 includes a communication unit 20, a storage unit 30, and a control unit 40.
[0075] (Regarding Communication Unit 20)
[0076] The communication unit 20 is implemented, for example, by a NIC (Network Interface Card) or the like. Thus, the communication unit 20 is connected to the network N by wire or wirelessly, and exchanges information with the user terminal 100 and the like.
[0077] (Regarding Storage Unit 30)
[0078] The storage unit 30 is implemented, for example, by semiconductor memory elements such as RAM (Random Access Memory) and flash memory, or storage devices such as hard disks and optical discs. As Figure 4 shown, the storage unit 30 includes a wearable item information database 31, a wearer information database 32, and a change information database 33.
[0079] (Regarding Wearable Item Information Database 31)
[0080] The wearable item information database 31 stores various information related to wearable items. Here, Figure 5 an example of the information stored in the wearable item information database 31 will be described. Figure 5 is a diagram showing an example of the wearable item information database 31 according to the embodiment. InFigure 5 In the example, the wearable item information database 31 has items such as "wearable item ID", "size information", "category information", and "raw material information".
[0081] The "wearable item ID" represents identification information for identifying a wearable item. The "size information" represents the size of the wearable item. The "category information" represents the category of the wearable item. The "raw material information" represents the raw material of the wearable item.
[0082] That is, in Figure 5 , an example is shown where the size information of the wearable item identified by the wearable item ID "GID#1" is "size information#1", the category information is "category information#1", and the raw material information is "raw material information#1".
[0083] (Regarding the wearer information database 32)
[0084] The wearer information database 32 stores various information related to the wearer. Here, Figure 6 is used to illustrate an example of the information stored in the wearer information database 32. Figure 6 is a diagram showing an example of the wearer information database 32 according to the embodiment. In Figure 6 's example, the wearer information database 32 has items such as "wearer ID", "user ID", "attribute information", "growth information", "preference information", "shape information", and "purchase history".
[0085] The "wearer ID" represents identification information for identifying the wearer. The "user ID" represents identification information for identifying a user (e.g., the wearer's parents, etc.) having a prescribed relationship with the wearer. The "attribute information" represents the attributes of the wearer. The "growth information" represents information related to the growth of the wearer's body, the parts where the wearer wears the wearable item, etc., for example, information obtained by measurement using a prescribed measurement unit, the history based on this information, the estimated growth degree of the wearer based on the wearer's attributes, etc. The "preference information" represents the preferences of the wearer for wearable items (e.g., preferences estimated based on the purchase history of wearable items). The "shape information" represents information related to the parts where the wearer wears the wearable item. The "purchase history" represents the history of wearable items purchased by the wearer and the history of wearable items estimated to have been purchased by the user for the wearer.
[0086] That is, in Figure 6An example is shown in which a user having a prescribed relationship with the wearer identified by the wearer ID "WID#1" is identified by the user ID "UID#1", and the attribute information of the wearer is "attribute information #1", the growth information is "growth information #1", the preference information is "preference information #1", the shape information is "shape information #1", and the purchase history is "purchase history #1".
[0087] (Regarding the change information database 33)
[0088] The change information database 33 stores information indicating changes corresponding to the passage of time in the comfort of the wearable item for the wearer. Here, Figure 7 An example of the information stored in the change information database 33 will be described. Figure 7 FIG. is a diagram showing an example of the change information database 33 according to the embodiment. In Figure 7 this example, the change information database 33 has items such as "wearer ID", "wearable item ID", and "change information".
[0089] The "wearer ID" represents identification information for identifying the wearer. The "wearable item ID" represents identification information for identifying the wearable item. The "change information" represents changes corresponding to the passage of time in the comfort of the wearable item for the wearer.
[0090] That is, in Figure 7 an example is shown in which the change information indicating the comfort of the wearable item identified by the wearable item ID "GID#1" for the wearer identified by the wearer ID "WID#1" corresponding to the passage of time is "change information #1".
[0091] (Regarding the control unit 40)
[0092] The control unit 40 is a controller. For example, it is implemented by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) using the RAM as a work area to execute various programs stored in the storage device inside the information processing device 10. In addition, the control unit 40 is a controller, for example, implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). As Figure 4As shown, the control unit 40 involved in 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 the information processing described below.
[0093] (Regarding the acquisition unit 41)
[0094] The acquisition unit 41 acquires wearer information related to the wearer. For example, in Figure 2 the example, the acquisition unit 41 acquires wearer information related to the wearer W1 from the user terminal 100 and stores it in the wearer information database 32.
[0095] (Regarding the generation unit 42)
[0096] The generation unit 42 generates variation information that changes corresponding to the passage of time and represents the comfort level for the wearer for each wearable item based on the wearable item information related to the wearable item and the wearer information related to the wearer. For example, in Figure 2 the example, the generation unit 42 refers to the wearable item information database 31 and the wearer information database 32, and generates variation information that changes corresponding to the passage of time and represents the comfort level for the wearer W1 for each wearable item based on the wearable item information related to the wearable item and the wearer information.
[0097] In addition, the generation unit 42 may also generate variation information based on the attributes of the wearer. For example, in Figure 2 the example, the generation unit 42 generates variation information that changes corresponding to the passage of time and represents the comfort level for the wearer W1 for each wearable item based on the attributes of the wearer W1.
[0098] In addition, the generation unit 42 may also generate variation information based on the growth degree of the wearer. For example, in Figure 2 the example, the generation unit 42 generates variation information that changes corresponding to the passage of time and represents the comfort level for the wearer W1 for each wearable item based on the information indicating the growth degree of the feet of the wearer W1.
[0099] In addition, the generation unit 42 may also generate variation information based on the wearer's preference for the wearable item. For example, in Figure 2 the example, the generation unit 42 generates variation information based on the wearable item information and the wearer information including the evaluation of the wearable item by the user who has a preference for a wearer similar to the wearer W1 among children.
[0100] In addition, the generation unit 42 may also generate variation information based on the shape of the part of the wearer where the wearable item is worn. For example, in Figure 2 the example, the generation unit 42 generates variation information based on the information indicating the shape of the feet of the wearer W1.
[0101] In addition, the generation unit 42 can also generate variation information based on the differences in the shapes of the corresponding parts of the wearable item worn by the wearer. For example, in Figure 2 the example, the generation unit 42 separately generates variation information corresponding to the shapes of the left and right feet of the wearer W1 for each of the left and right feet. In addition, when there are differences in the shapes of the left and right feet of the wearer W1, the generation unit 42 generates variation information corresponding to the shape of the larger foot.
[0102] In addition, the generation unit 42 can also generate variation information based on the raw material of the wearable item. For example, in Figure 2 the example, the generation unit 42 generates variation information representing the variation corresponding to the passage of time of the comfort level for the wearer W1 for each wearable item based on the raw material of the wearable item.
[0103] (Regarding the registration unit 43)
[0104] The registration unit 43 registers the variation information generated by the generation unit 42. For example, in Figure 2 the example, the registration unit 43 registers (stores) the variation information F1, F2, F3,... corresponding to the wearer W1 in the variation information database 33.
[0105] (Regarding the estimation unit 44)
[0106] The estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the variation information representing the variation corresponding to the passage of time of the comfort level of the wearable item for the wearer. For example, in Figure 2 the example, the estimation unit 44 refers to the variation information database 33 and estimates, based on the variation information, the periods during which the scores are 80 or higher among the periods of wearing each size of the wearable item as the periods during which the wearer W1 can comfortably wear the item.
[0107] In addition, the estimation unit 44 can also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than the comfort level set by the providing entity. For example, in Figure 2 the example, the estimation unit 44 estimates the period during which the wearer W1 can wear the wearable item with a threshold value or higher set by the user U1.
[0108] In addition, the estimation unit 44 can also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than the comfort level corresponding to the category of the wearable item. For example, in Figure 2In the example, when the category of the wearable item #1 is "sports shoes", the estimation unit 44 emphasizes the activity convenience during wearing and sets the threshold of the score to 95, and estimates the period during which the wearable item #1 can be worn with a score of 95 or more for each size of the wearable item #1.
[0109] In addition, the estimation unit 44 can also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than that of the wearable item the wearer has worn. For example, in Figure 2 the example, when the wearer W1 repurchased the wearable item when the score was less than 90, the estimation unit 44 sets the threshold of the score to 90, and estimates the period during which the wearable item #1 can be worn with a score of 90 or more for each size of the wearable item #1.
[0110] In addition, the estimation unit 44 can also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the change information based on the wearer's attributes. For example, in Figure 2 the example, the estimation unit 44 estimates, based on the change information based on the attributes of the wearer W1, the period during which the score is 80 or more during the period of wearing each size of the wearable item as the period during which the wearer W1 can wear comfortably.
[0111] In addition, the estimation unit 44 can also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the change information based on the growth degree of the wearer. For example, in Figure 2 the example, the estimation unit 44 estimates, based on the change information based on the growth degree of the feet of the wearer W1, the period during which the score is 80 or more during the period of wearing each size of the wearable item as the period during which the wearer W1 can wear comfortably.
[0112] In addition, the estimation unit 44 can also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the change information based on the wearer's preference for the wearable item. For example, in Figure 2 the example, the estimation unit 44 estimates, based on the change information based on the preference of the wearer W1 for the wearable item, the period during which the score is 80 or more during the period of wearing each size of the wearable item as the period during which the wearer W1 can wear comfortably.
[0113] In addition, the estimation unit 44 can also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the change information based on the shape of the part of the wearer wearing the wearable item. For example, in Figure 2In the example, the estimation unit 44 estimates, based on the variation information derived from the information representing the shape of the foot of the wearer W1, the period during which the score is 80 or higher within the period of each dimension of the wearable item as the period during which the wearer W1 can comfortably wear the item.
[0114] In addition, the estimation unit 44 may also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level, based on the variation information derived from the differences in the shapes of the corresponding parts of the wearable item worn by the wearer. For example, in Figure 2 the example, the estimation unit 44 estimates, for the wearable item, the 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 as the period during which the wearer W1 can comfortably wear the wearable item. In addition, when there are differences in the shapes of the left and right feet of the wearer W1, the estimation unit 44 estimates the period during which the wearer W1 can comfortably wear the wearable item, based on the variation information generated according to the shape of the larger foot in terms of size.
[0115] In addition, the estimation unit 44 may also estimate the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level, based on the variation information derived from the raw materials of the wearable item. For example, in Figure 2 the example, the estimation unit 44 estimates, based on the variation information derived from the raw materials of the wearable item, the period during which the score is 80 or higher within the period of each dimension of the wearable item as the period during which the wearer W1 can comfortably wear the item.
[0116] (Regarding the providing unit 45)
[0117] The providing unit 45 provides information corresponding to the period estimated by the estimation unit 44 to a specified providing target. For example, in Figure 2 the example, the providing unit 45 provides, via an e-commerce service, the information corresponding to the period estimated by the estimation unit 44 to the user terminal 100.
[0118] In addition, the providing unit 45 may also provide information indicating the period. For example, in Figure 2 the example, for each dimension of the wearable item for which there is a request for information provision, the providing unit 45 provides information indicating the period during which the wearer W1 can comfortably wear the item.
[0119] In addition, the providing unit 45 may also provide information indicating the timing when the wearable item becomes less than the specified comfort level for the wearer. For example, in Figure 2 the example, as shown in the screen C1, the providing unit 45 provides information indicating, for example, the size of the wearable item and that the period during which the item can be comfortably worn is "from the current time until 3 months later" (in other words, the score becomes less than 80 after 3 months).
[0120] In addition, the providing unit 45 may also provide information indicating the timing when the wearable item becomes above a specified level of comfort for the wearer. For example, in the Figure 2 example, as shown in screen C1, the providing unit 45 provides information indicating the size of the wearable item and that the period during which it can be comfortably worn is "from 4 months later to 10 months later" (in other words, the meaning that the score becomes 80 or more after 4 months later).
[0121] In addition, the providing unit 45 may also provide information related to a second wearable item that is above a specified level of comfort for the wearer at the timing when the first wearable item becomes below the specified level of comfort for the wearer. For example, in the Figure 2 example, the providing unit 45 provides information related to a wearable item with a score of 80 or more at the re-purchase time shown in screen C2.
[0122] In addition, the providing unit 45 may also provide information related to the second wearable item before a specified period from the timing. For example, in the Figure 2 example, at a time point before a specified period from the re-purchase time, the providing unit 45 provides the information shown in screen C2 and information related to a wearable item with a score of 80 or more at the re-purchase time.
[0123] In addition, the providing unit 45 may also provide information related to a wearable item whose period is above a specified threshold. For example, in the Figure 2 example, the providing unit 45 provides information related to a wearable item of a size whose period with a score of 80 or more is 6 months or more.
[0124] In addition, the providing unit 45 may provide information related to a wearable item with a longer period with higher priority. For example, in the Figure 2 example, when providing information related to a wearable item, the providing unit 45 provides information related to a wearable item with a longer period with a score of 80 or more with higher priority.
[0125] 〔5. Information processing flow〕
[0126] Using Figure 8 , the information processing process of the information processing device 10 according to the embodiment will be described. Figure 8 is a flowchart showing an example of the information processing process according to the embodiment.
[0127] As Figure 8 shown, the information processing device 10 determines whether wearer information related to the wearer has been acquired (step S101). If the wearer information has not been acquired (step S101; NO), the information processing device 10 stands by until the wearer information is acquired.
[0128] On the other hand, in the case where wearer information has been acquired (step S101; YES), the information processing apparatus 10 generates, for each wearable item, variation information indicating variations corresponding to the passage of time in the comfort level for the wearer based on the wearable item information related to the wearable item and the wearer information (step S102). Next, the information processing apparatus 10 registers the variation information (step S103). Next, the information processing apparatus 10 estimates, based on the variation information, the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a prescribed comfort level (step S104). Next, the information processing apparatus 10 provides information corresponding to the period to a prescribed provision target (step S105), and ends the processing.
[0129] 〔6. Modification Example〕
[0130] The above-described embodiment shows an example, and various changes and applications can be made.
[0131] 〔6-1. Regarding the Wearer〕
[0132] In the above-described embodiment, an example in which the wearer is a child is shown, but the wearer is not limited to such an example. For example, the wearer can also be an adult whose body growth has stopped. Further, in the above-described embodiment, an example in which the provision target of the information of the information processing apparatus 10 is a user different from the wearer is shown, but the provision target of the information is not limited to such an example, and the information can also be provided to the wearer himself / herself.
[0133] 〔6-2. Regarding the Wearable Item〕
[0134] In the above-described embodiment, an example in which the wearable item is shoes is shown, but the wearable item is not limited to such an example, and any item can be used as long as the appropriate size changes according to the growth of the wearer's body and changes in the body (such as changes in body shape). For example, the wearable item can also be an upper garment, lower garment, accessory, or the like.
[0135] 〔6-3. Regarding the Processing Method〕
[0136] In each of the processes described in the above-described embodiment, all or part of the processes described as being automatically performed can also be performed manually, and conversely, all or part of the processes described as being manually performed can also be automatically performed using known methods. In addition, unless otherwise specified, the processing procedures, specific names, and information including various data and parameters shown in the above content and in the drawings can be arbitrarily changed. For example, the various information shown in each figure is not limited to the information shown in the figure.
[0137] In addition, each constituent element of each of the illustrated devices is a functional concept, and it is not required that they be physically configured as shown in the figures. That is, the specific manner of dispersion / integration of each device is not limited to the manner shown in the figures, and all or part of them can be functionally or physically dispersed / integrated in any unit according to various loads, usage conditions, etc.
[0138] In addition, the above-described embodiments can be appropriately combined within a range where the processing contents do not conflict.
[0139] 〔7. Effects〕
[0140] As described above, the information processing apparatus 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 variation information that varies with the passage of time and represents the comfort level for the wearer for each wearable item based on the wearable item information related to the wearable item and the 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 the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the variation information that varies with the passage of time and represents the comfort level of the wearable item for the wearer. The provision unit 45 provides information corresponding to the period estimated by the estimation unit 44 to a specified provision target.
[0141] Accordingly, since the information processing apparatus 10 according to the embodiment can generate variation information that varies with the passage of time and represents the comfort level for the wearer for each wearable item, estimate the period during which the wearer can comfortably wear the wearable item based on the variation information, and provide information corresponding to the estimated period, it can generate information related to the period during which the wearer can comfortably wear the wearable item and prompt information related to the wearable item that the wearer can comfortably wear.
[0142] In addition, in the information processing apparatus 10 according to the embodiment, for example, the generation unit 42 generates variation information based on the attributes of the wearer. In addition, the generation unit 42 generates variation information based on the growth degree of the wearer. In addition, the generation unit 42 generates variation information based on the wearer's preference for the wearable item. In addition, the generation unit 42 generates variation information based on the shape of the part of the wearer where the wearable item is worn. In addition, the generation unit 42 generates variation information based on the difference in the shape of each corresponding part of the wearer where the wearable item is worn. In addition, the generation unit 42 generates variation information based on the raw material of the wearable item.
[0143] Accordingly, since the information processing apparatus 10 according to the embodiment can generate variation information based on various information, it can improve the estimation accuracy of the period during which the wearer can comfortably wear the wearable item.
[0144] In addition, in the information processing apparatus 10 according to the embodiment, for example, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than the comfort level set by the provider. In addition, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than the comfort level corresponding to the category of the wearable item. In addition, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than the comfort level corresponding to the wearable item that the wearer has worn before.
[0145] Thus, since the information processing apparatus 10 according to the embodiment can estimate the period during which the wearable item can be comfortably worn based on the wearer and the wearable item, convenience can be improved.
[0146] In addition, in the information processing apparatus 10 according to the embodiment, for example, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the variation information based on the attributes of the wearer. In addition, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the variation information based on the growth degree of the wearer. In addition, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the variation information based on the preference of the wearer for the wearable item. In addition, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the variation information based on the shape of the part of the wearer where the wearable item is worn. In addition, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the variation information based on the difference in the shape of each corresponding part of the wearer where the wearable item is worn. In addition, the estimation unit 44 estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level based on the variation information based on the raw material of the wearable item.
[0147] Thus, since the information processing apparatus 10 according to the embodiment can estimate the period during which the wearer can comfortably wear the wearable item using the variation information generated based on various information, the accuracy of the provided information can be improved.
[0148] In addition, in the information processing apparatus 10 according to the embodiment, for example, the providing unit 45 provides information indicating a period. In addition, the providing unit 45 provides information indicating a timing when the wearable item becomes less than a specified comfort level for the wearer. In addition, the providing unit 45 provides information indicating a timing when the wearable item becomes equal to or higher than a specified comfort level for the wearer. In addition, the providing unit 45 provides information related to a second wearable item that is equal to or higher than a specified comfort level for the wearer at a timing when the first wearable item becomes less than a specified comfort level for the wearer. In addition, the providing unit 45 provides information related to the second wearable item before a specified period from the timing. In addition, the providing unit 45 provides information related to a wearable item whose period is equal to or higher than a specified threshold value. In addition, the providing unit 45 provides information related to a wearable item with a longer period with higher priority.
[0149] Thus, since the information processing apparatus 10 according to the embodiment can provide information corresponding to the period during which the wearer can comfortably wear the wearable item, it can provide guidelines for purchasing the wearable item.
[0150] 〔8. Hardware Configuration〕
[0151] In addition, the information processing apparatus 10 according to each of the above-described embodiments is implemented, for example, by Figure 9 a computer 1000 configured as shown below. Hereinafter, the information processing apparatus 10 will be described as an example. Figure 9 FIG. is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus 10. The computer 1000 includes a CPU 1100, a ROM 1200, a RAM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.
[0152] The CPU 1100 operates based on programs stored in the ROM 1200 or the HDD 1400, and controls each unit. The ROM 1200 stores a startup program executed by the CPU 1100 when the computer 1000 is started up, programs dependent on the hardware of the computer 1000, and the like.
[0153] The HDD 1400 stores programs executed by the CPU 1100, data used by the related programs, and the like. The communication interface 1500 receives data from other devices via the communication network 500 (corresponding to the network N of the embodiment), and sends it to the CPU 1100. In addition, the communication interface 1500 sends data generated by the CPU 1100 to other devices via the communication network 500.
[0154] The CPU 1100 controls output devices such as monitors and printers, and input devices such as keyboards and mice via the input / output interface 1600. The CPU 1100 obtains data from the input devices via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output devices via the input / output interface 1600.
[0155] The media interface 1700 reads programs or data stored in the recording medium 1800 and provides them to the CPU 1100 via the RAM 1300. The CPU 1100 loads the relevant programs from the recording medium 1800 onto the RAM 1300 via the media interface 1700 and executes the loaded programs. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.
[0156] For example, when the computer 1000 functions as the information processing device 10, the CPU 1100 of the computer 1000 realizes the functions of the control unit 40 by executing the programs loaded onto the RAM 1300. In addition, each data in the storage device of the information processing device 10 is stored in the HDD 1400. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs can also be obtained from other devices via a prescribed communication network.
[0157] 〔9. Others〕
[0158] As described above, several embodiments of the present application have been described in detail with reference to the drawings, but they are only examples. Represented by the solutions described in the summary of the invention, the present invention can be implemented in other ways with various deformations and improvements based on the knowledge of those skilled in the art.
[0159] In addition, the above-mentioned information processing device 10 can be flexibly changed in configuration according to functions, such as being implemented by calling external platforms through APIs (Application Programming Interfaces), network computing, etc.
[0160] In addition, the "section" described in the claims can be renamed as "unit", "circuit", etc. For example, the acquisition section can be renamed as an acquisition unit or an acquisition circuit.
[0161] 〔10. Generalization〕
[0162] The content disclosed in this specification can be summarized as follows.
[0163] The first mode is an information processing apparatus including:
[0164] an estimation unit that estimates, based on variation information, a period during which a wearer can wear a wearable item with a comfort level equal to or higher than a specified comfort level, the variation information indicating variation corresponding to the passage of time in the comfort level of the wearable item for the wearer; and
[0165] a provision unit that provides information corresponding to the period estimated by the estimation unit to a specified provision target.
[0166] The second mode is the information processing apparatus according to the first mode,
[0167] wherein the provision unit provides information indicating the period.
[0168] The third mode is the information processing apparatus according to the first or second mode,
[0169] wherein the provision unit provides information indicating a timing at which the wearable item becomes lower than the specified comfort level for the wearer.
[0170] The fourth mode is the information processing apparatus according to any one of the first to third modes,
[0171] wherein the provision unit provides information indicating a timing at which the wearable item becomes equal to or higher than the specified comfort level for the wearer.
[0172] The fifth mode is the information processing apparatus according to any one of the first to fourth modes,
[0173] wherein the provision unit provides information related to a second wearable item that is equal to or higher than the specified comfort level for the wearer at a timing when a first wearable item becomes lower than the specified comfort level for the wearer.
[0174] The sixth mode is the information processing apparatus according to the fifth mode,
[0175] wherein the provision unit provides information related to the second wearable item a specified period before the timing.
[0176] The seventh mode is the information processing apparatus according to any one of the first to sixth modes,
[0177] wherein the provision unit provides information related to a wearable item among a plurality of wearable items in which the period is equal to or higher than a specified threshold.
[0178] The eighth mode is the information processing apparatus according to any one of the first to seventh modes,
[0179] The providing unit provides the information related to the wearable item with a longer period among the plurality of wearable items with higher priority.
[0180] In the ninth mode, in the information processing device of any one of the first to eighth modes,
[0181] The estimating unit estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than the comfort level set by the providing target.
[0182] In the tenth mode, in the information processing device of any one of the first to ninth modes,
[0183] The estimating unit estimates the period during which the wearer can wear the wearable item with a comfort level equal to or higher than the comfort level corresponding to the category of the wearable item.
[0184] In the eleventh mode, in the information processing device of any one of the first to tenth modes,
[0185] The estimating unit estimates the period during which the wearer can wear the unworn wearable item with a comfort level equal to or higher than the comfort level corresponding to the wearable item worn by the wearer.
[0186] In the twelfth mode, in the information processing device of any one of the first to eleventh modes,
[0187] The estimating unit estimates the period during which the wearer can wear the wearable item with a specified comfort level or higher based on the variation information based on the attributes of the wearer.
[0188] In the thirteenth mode, in the information processing device of any one of the first to twelfth modes,
[0189] The estimating unit estimates the period during which the wearer can wear the wearable item with a specified comfort level or higher based on the variation information based on the growth degree of the wearer.
[0190] In the fourteenth mode, in the information processing device of any one of the first to thirteenth modes,
[0191] The estimating unit estimates the period during which the wearer can wear the wearable item with a specified comfort level or higher based on the variation information based on the preference of the wearer for the wearable item.
[0192] In the fifteenth mode, in the information processing device of any one of the first to fourteenth modes,
[0193] The estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level, based on the variation information related to the shape of the part of the wearer where the wearable item is worn.
[0194] In a sixteenth aspect, in the information processing device according to any one of the first to fifteenth aspects,
[0195] the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level, based on the variation information related to the difference in the shape of each corresponding part of the wearer where the wearable item is worn.
[0196] In a seventeenth aspect, in the information processing device according to any one of the first to sixteenth aspects,
[0197] the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level, based on the variation information related to the raw material of the wearable item.
[0198] In an eighteenth aspect, in the information processing device according to any one of the first to seventeenth aspects,
[0199] The information processing device further includes a generation unit that generates the variation information for each of the wearable items, based on the wearable item information related to each of the plurality of wearable items and the wearer information related to the wearer.
[0200] A nineteenth aspect is an information processing device including:
[0201] a generation unit that generates variation information indicating a variation corresponding to the passage of time in the comfort level for the wearer, for each of the wearable items, based on the wearable item information related to each of the plurality of wearable items and the wearer information related to the wearer; and
[0202] a registration unit that registers the variation information generated by the generation unit.
[0203] In a twentieth aspect, in the information processing device according to the eighteenth or nineteenth aspect,
[0204] the generation unit generates the variation information based on the attributes of the wearer.
[0205] In a twenty-first aspect, in the information processing device according to any one of the eighteenth to twentieth aspects,
[0206] the generation unit generates the variation information based on the growth degree of the wearer.
[0207] In a twenty-second aspect, in the information processing device according to any one of the eighteenth to twenty-first aspects,
[0208] The generation unit generates the variation information based on the preferences of the wearer for the wearable item.
[0209] In the twenty-third mode, in the information processing apparatus of any one of the eighteenth to twenty-second modes,
[0210] The generation unit generates the variation information based on the shape of the part of the wearer where the wearable item is worn.
[0211] In the twenty-fourth mode, in the information processing apparatus of any one of the eighteenth to twenty-third modes,
[0212] The generation unit generates the variation information based on the differences in the shapes of the corresponding parts of the wearer where the wearable item is worn.
[0213] In the twenty-fifth mode, in the information processing apparatus of any one of the eighteenth to twenty-fourth modes,
[0214] The generation unit generates the variation information based on the raw material of the wearable item.
[0215] The twenty-sixth mode is an information processing method, which is executed by a computer and includes:
[0216] An estimation process of estimating, based on the variation information, a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level, where the variation information represents the variation of the comfort level of the wearable item for the wearer corresponding to the passage of time; and
[0217] A provision process of providing information corresponding to the period estimated by the estimation process to a specified provision target.
[0218] The twenty-seventh mode is an information processing method, which is executed by a computer and includes:
[0219] A generation process of generating, for each wearable item, variation information representing the variation of the comfort level for the wearer corresponding to the passage of time based on the wearable item information related to each of a plurality of wearable items and the wearer information related to the wearer; and
[0220] A registration process of registering the variation information generated by the generation process.
[0221] The twenty-eighth mode is a program for causing a computer to execute:
[0222] An estimation process that, based on change information, estimates a period during which a wearer can wear a wearable item with a comfort level above a specified comfort level, the change information indicating a change corresponding to the passage of time in the comfort level of the wearable item for the wearer; and
[0223] A provision process that provides information corresponding to the period estimated by the estimation process to a specified provision target.
[0224] The twenty-ninth mode is a program for causing a computer to execute:
[0225] A generation process that, based on wearable item information related to each of a plurality of wearable items and wearer information related to the wearer, generates change information indicating a change corresponding to the passage of time in the comfort level of each wearable item for the wearer; and
[0226] A registration process that registers the change information generated by the generation process.
[0227] Explanation of reference numerals
[0228] 10: Information processing device, 20: Communication unit, 30: Storage unit, 31: Wearable item information database, 32: Wearer information database, 33: Change information database, 40: Control unit, 41: Acquisition unit, 42: Generation unit, 43: Registration unit, 44: Estimation unit, 45: Provision unit, 100: User terminal.
Claims
1. An information processing apparatus, comprising: an estimation unit that estimates, based on variation information, a period during which a wearer can wear a wearable item with a comfort level equal to or higher than a specified comfort level, the variation information indicating variation corresponding to the passage of time in the comfort level of the wearable item for the wearer; and a provision unit that provides information corresponding to the period estimated by the estimation unit to a specified provision target.
2. The information processing apparatus according to claim 1, wherein the provision unit provides information indicating the period.
3. The information processing apparatus according to claim 1 or 2, wherein the provision unit provides information indicating a timing at which the comfort level of the wearable item for the wearer becomes lower than the specified comfort level.
4. The information processing apparatus according to any one of claims 1 to 3, wherein the provision unit provides information indicating a timing at which the comfort level of the wearable item for the wearer becomes equal to or higher than the specified comfort level.
5. The information processing apparatus according to any one of claims 1 to 4, wherein the provision unit provides information related to a second wearable item that has a comfort level equal to or higher than the specified comfort level for the wearer at a timing when a comfort level of a first wearable item for the wearer becomes lower than the specified comfort level.
6. The information processing apparatus according to claim 5, wherein the provision unit provides information related to the second wearable item a specified period before the timing.
7. The information processing apparatus according to any one of claims 1 to 6, wherein the provision unit provides information related to a wearable item among the plurality of wearable items whose period is equal to or longer than a specified threshold value.
8. The information processing apparatus according to any one of claims 1 to 7, wherein the provision unit preferentially provides information related to a wearable item among the plurality of wearable items that has a longer period.
9. The information processing apparatus according to any one of claims 1 to 8, wherein the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a comfort level set by the provision target.
10. The information processing apparatus according to any one of claims 1 to 9, wherein the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a comfort level corresponding to the category of the wearable item.
11. The information processing apparatus according to any one of claims 1 to 10, wherein the estimation unit estimates a period during which the wearer can wear an unworn wearable item with a comfort level equal to or higher than a comfort level corresponding to a wearable item that the wearer has worn.
12. The information processing apparatus according to any one of claims 1 to 11, wherein the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level, based on the variation information based on the attributes of the wearer.
13. The information processing apparatus according to any one of claims 1 to 12, wherein the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a specified comfort level, based on the variation information based on the growth degree of the wearer.
14. The information processing apparatus according to any one of claims 1 to 13, wherein, the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a prescribed comfort level, based on the variation information regarding the wearer's preference for the wearable item.
15. The information processing apparatus according to any one of claims 1 to 14, wherein, the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a prescribed comfort level, based on the variation information regarding the shape of the part of the wearer where the wearable item is worn.
16. The information processing apparatus according to any one of claims 1 to 15, wherein, the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a prescribed comfort level, based on the variation information regarding the difference in the shape of each corresponding part of the wearer where the wearable item is worn.
17. The information processing apparatus according to any one of claims 1 to 16, wherein, the estimation unit estimates a period during which the wearer can wear the wearable item with a comfort level equal to or higher than a prescribed comfort level, based on the variation information regarding the raw material of the wearable item.
18. The information processing apparatus according to any one of claims 1 to 17, wherein, the information processing apparatus further includes a generation unit that generates the variation information for each of the wearable items, based on the wearable item information related to each of the plurality of wearable items and the wearer information related to the wearer.
19. An information processing apparatus, comprising: a generation unit that generates, for each of the wearable items, variation information indicating a variation corresponding to the passage of time in the comfort level for the wearer, based on the wearable item information related to each of the plurality of wearable items and the wearer information related to the wearer; and a registration unit that registers the variation information generated by the generation unit.
20. The information processing apparatus according to claim 18 or 19, wherein, the generation unit generates the variation information based on the attributes of the wearer.
21. The information processing apparatus according to any one of claims 18 to 20, wherein, the generation unit generates the variation information based on the growth degree of the wearer.
22. The information processing apparatus according to any one of claims 18 to 21, wherein, the generation unit generates the variation information based on the wearer's preference for the wearable item.
23. The information processing apparatus according to any one of claims 18 to 22, wherein, the generation unit generates the variation information based on the shape of the part of the wearer where the wearable item is worn.
24. The information processing apparatus according to any one of claims 18 to 23, wherein, the generation unit generates the variation information based on the difference in the shape of each corresponding part of the wearer where the wearable item is worn.
25. The information processing apparatus according to any one of claims 18 to 24, wherein, the generation unit generates the variation information based on the raw material of the wearable item.
26. An information processing method, executed by a computer, and comprising: An estimation process of estimating, based on variation information, a period during which a wearer can wear a wearable item with a comfort level equal to or higher than a specified comfort level, the variation information indicating a variation corresponding to the passage of time in the comfort level of the wearable item for the wearer; And A provision process of providing information corresponding to the period estimated by the estimation process to a specified provision target.
27. An information processing method, executed by a computer, and comprising: A generation process of generating, based on wearable item information related to each of a plurality of wearable items and wearer information related to the wearer, variation information indicating a variation corresponding to the passage of time in the comfort level of each wearable item for the wearer; And A registration process of registering the variation information generated by the generation process.
28. A program for causing a computer to execute: An estimation process of estimating, based on variation information, a period during which a wearer can wear a wearable item with a comfort level equal to or higher than a specified comfort level, the variation information indicating a variation corresponding to the passage of time in the comfort level of the wearable item for the wearer; and A provision process of providing information corresponding to the period estimated by the estimation process to a specified provision target.
29. A program for causing a computer to execute: A generation process of generating, based on wearable item information related to each of a plurality of wearable items and wearer information related to the wearer, variation information indicating a variation corresponding to the passage of time in the comfort level of each wearable item for the wearer; and A registration process of registering the variation information generated by the generation process.
Citation Information
Patent Citations
Apparatus and system for managing child's clothing
JP2007265077A