Coordination diagnostic system, information processing device, information processing method, and program

Abstract

To provide a coordination diagnostic system, an information processing device, an information processing method, and a program capable of properly evaluating whether or not the coordination of clothing to be actually worn or clothing being actually worn is appropriate.SOLUTION: An information processing device comprises a wearing information acquisition unit for acquiring diagnostic target wearing information indicating the clothing to be diagnosed, and an evaluation result output unit for outputting an evaluation result of each evaluation axis obtained by evaluating the clothing with multiple evaluation axes using the diagnostic target wearing information.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a coordination diagnosis system, an information processing device, an information processing method, and a program. [Background technology]

[0002] An example of a wardrobe provision method is described in Patent Document 1. The wardrobe provision method of Patent Document 1 efficiently proposes a wardrobe by utilizing coordination patterns by experts, as well as personal possessions and other clothing items. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2005-107960 A Summary of the Invention [Problem to be solved by the invention]

[0004] The technology described in the above-mentioned documents provides suggestions for optimizing an individual's clothing wardrobe, but it is difficult to properly evaluate whether the coordination of clothes that an individual is actually planning to wear or is actually wearing is appropriate.

[0005] One example of the objective of the present invention is to provide a coordination diagnosis system, information processing device, information processing method, and program that can appropriately evaluate whether the coordination of clothing that a person is actually planning to wear or is actually wearing is appropriate, in consideration of the above-mentioned problems. [Means for solving the problem]

[0006] The information processing device according to the present disclosure includes: A wear information acquisition means for acquiring diagnostic subject wear information indicating clothes of a diagnostic subject; The diagnostic apparatus further includes an evaluation result output means for outputting evaluation results of each of a plurality of evaluation axes obtained by evaluating the clothing along the plurality of evaluation axes using the diagnostic object wearing information.

[0007] The coordinated diagnostic system in the present disclosure comprises: A communication device used by a user; a server device connected to the communication device via a network, The server device includes: a wear information acquiring means for acquiring, from the communication device, wear information of a diagnosis subject indicating clothes of a diagnosis subject; The diagnostic apparatus further includes an evaluation result output means for outputting, to the communication device, an evaluation result for each of a plurality of evaluation axes obtained by evaluating the clothing along the plurality of evaluation axes using the diagnostic object wearing information.

[0008] The information processing method according to the present disclosure includes: One or more computers Acquire diagnostic subject wear information indicating the clothes of the diagnostic subject; The method includes outputting an evaluation result for each of a plurality of evaluation axes obtained by evaluating the clothing along a plurality of evaluation axes using the diagnostic subject wearing information.

[0009] The program in this disclosure is On the computer, A wearing information acquisition process for acquiring diagnostic subject wearing information indicating the clothes of a diagnostic subject; and outputting evaluation results for each of a plurality of evaluation axes obtained by evaluating the clothing using the diagnostic subject wearing information.

[0010] Another example of the present disclosure may be a program that causes at least one computer to execute the method disclosed above, or a computer-readable recording medium having such a program recorded thereon. The recording medium includes a non-transitory tangible medium. The computer program includes computer program code which, when executed by a computer, causes the computer to carry out the information processing method on an information processing device.

[0011] Any combination of the above components, and conversion of the present disclosure into a method, device, system, recording medium, computer program, etc. are also valid aspects of the present disclosure.

[0012] Furthermore, the various components of the present disclosure do not necessarily have to be independent entities, but may be formed as a single member by multiple components, one component may be formed from multiple components, one component may be a part of another component, or part of one component may overlap with part of another component, etc.

[0013] In addition, although the method and computer program of the present disclosure describe a number of steps in a sequential order, the order does not limit the order in which the steps are executed. Therefore, when implementing the method and computer program of the present disclosure, the order of the steps can be changed as long as it does not affect the content.

[0014] Furthermore, the steps of the method and computer program disclosed herein are not limited to being executed at different times, and may be executed while one step is being executed, or may be executed partially or entirely overlapping with another step, etc. Effect of the Invention

[0015] According to the present disclosure, a coordination diagnosis system, an information processing device, an information processing method, and a program can be obtained that can appropriately evaluate whether the coordination of clothing that a person is actually planning to wear or is actually wearing is appropriate. [Brief description of the drawings]

[0016] [Figure 1] FIG. 1 is a block diagram showing a configuration of an information processing device according to the present disclosure. [Diagram 2] 4 is a flowchart showing a processing operation of an information processing device according to the present disclosure. [Diagram 3] 1 is a diagram conceptually illustrating a system configuration of a coordinated diagnostic system according to the present disclosure. [Figure 4] FIG. 2 is a block diagram illustrating a hardware configuration of a computer that realizes an information processing device according to the present disclosure. [Diagram 5] FIG. 13 is a diagram illustrating an example of a data structure of diagnostic target wearing information. [Figure 6] FIG. 13 is a diagram illustrating an example of a data structure of part-specific wearing information. [Figure 7] FIG. 13 is a diagram illustrating an example of a data structure of wardrobe information. [Figure 8] FIG. 13 is a diagram showing an example of a result screen. [Figure 9] 1 is a block diagram showing a configuration of an information processing device according to the present disclosure. [Figure 10] FIG. 11 is a diagram illustrating an example of a data structure of evaluation result information. [Figure 11] 4 is a flowchart showing a processing operation of an information processing device according to the present disclosure. [Figure 12] FIG. 13 is a diagram showing an example of a result screen. [Figure 13] FIG. 13 is a diagram showing an example of a result screen. [Figure 14] FIG. 13 is a diagram showing an example of a screen. [Figure 15] FIG. 13 is a diagram showing an example of a screen. [Figure 16] FIG. 13 is a diagram illustrating an example of a data structure of part-by-part evaluation result information. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, in this disclosure, the drawings are associated with one or more embodiments. In addition, in all drawings, similar components are given similar reference numerals and their explanations are omitted as appropriate. In addition, in each of the following drawings, configurations of parts that are not related to the essence of this disclosure are omitted and are not shown.

[0018] In this disclosure, "acquisition" includes at least one of the following: a device goes to retrieve data or information stored in another device or storage medium (active acquisition), and a device inputs data or information output from another device (passive acquisition). Examples of active acquisition include making a request or inquiry to another device and receiving a reply, and accessing and reading information from another device or storage medium. An example of passive acquisition is receiving information that is distributed (or transmitted, push notification, etc.). Furthermore, "acquisition" may mean selecting and acquiring data or information from received data or information, or selecting and receiving distributed data or information.

[0019] <Minimum configuration example> 1 is a block diagram showing a configuration of an information processing device 100 according to the present disclosure. The information processing device 100 includes a wearing information acquiring unit 102 and an evaluation result output unit 104, as shown in FIG. The clothing information acquiring unit 102 acquires diagnostic subject clothing information indicating the clothing of the diagnostic subject. The evaluation result output unit 104 uses the diagnostic subject wearing information to evaluate the clothing along a plurality of evaluation axes and outputs the evaluation results for each of the evaluation axes.

[0020] <Example of operation> FIG. 2 is a flowchart showing the processing operation of the information processing device 100 according to the present disclosure. The wearing information acquiring unit 102 acquires diagnostic subject wearing information indicating the clothes of the diagnostic subject (step S101). The evaluation result output unit 104 outputs the evaluation results of each of the evaluation axes obtained by evaluating the clothing along a plurality of evaluation axes using the diagnostic target wearing information (step S103).

[0021] According to this information processing device 100, the wearing information acquisition unit 102 acquires diagnosis target wearing information indicating the clothing of the diagnosis target, and the evaluation result output unit 104 uses the diagnosis target wearing information to output evaluation results for each evaluation axis obtained by evaluating the clothing along multiple evaluation axes, so that it is possible to appropriately evaluate whether the coordination of clothing that is actually intended to be worn or is actually worn is appropriate or not.

[0022] A detailed example of the information processing device 100 will be described below.

[0023] (First embodiment) <System Overview> FIG. 3 is a diagram conceptually illustrating a system configuration of a coordination diagnostic system 1 according to the present disclosure. The coordination diagnosis system 1 includes an information processing device 100 and a user terminal 200. The user terminal 200 is connected to the information processing device 100 via a communication network 3. However, a communication device (not shown) may be included between the user terminal 200 and the information processing device 100. Furthermore, the communication network 3 may be a combination of multiple types of communication networks.

[0024] The information processing device 100 includes a storage device 120. The storage device 120 may be provided inside or outside the information processing device 100. In other words, the storage device 120 may be a piece of hardware integrated with the information processing device 100, or may be a piece of hardware separate from the information processing device 100.

[0025] The information processing device 100 is a computer such as a server computer or a personal computer. Although only one user terminal 200 is shown in the figure, the information processing device 100 may be connected to multiple user terminals 200. The user terminal 200 is a communication device operated by a target person (hereinafter also referred to as user U) who uses the service of the coordination diagnosis system 1. The user terminal 200 is, for example, a computer such as a smartphone, a tablet terminal, or a personal computer.

[0026] 3, the user terminal 200 includes a camera 210. However, the user terminal 200 does not necessarily have to include the camera 210.

[0027] The camera 210 includes an imaging element such as a lens and a CCD (Charge Coupled Device) image sensor. The images generated by the camera 210 may be moving images, frame images captured at predetermined intervals, or still images.

[0028] The service of the coordination diagnosis system 1 can be used, for example, by installing and starting a specific application on the user terminal 200, or by accessing a specific website using a browser, etc. In the present disclosure, a method of using the service by starting an application will be described as an example.

[0029] In order to use the service, the user U performs procedures such as user registration in advance and acquires account information. When using the service, the user U can log in to the coordination diagnosis system 1 on the user terminal 200 using the account information. If the authentication is successful, the user U can use the service on the user terminal 200.

[0030] <Hardware configuration example> Fig. 4 is a block diagram illustrating a hardware configuration of a computer 1000 that realizes the information processing device 100 according to the present disclosure. The user terminal 200 in Fig. 3 is also realized by the computer 1000. The functions of the information processing device 100 may be shared between the computer 1000 of the user terminal 200 and the computer 1000 of the information processing device 100.

[0031] The computer 1000 has a bus 1010, a processor 1020, a memory 1030, a storage device 1040, an input / output interface 1050, and a network interface 1060.

[0032] The bus 1010 is a data transmission path for transmitting and receiving data among the processor 1020, memory 1030, storage device 1040, input / output interface 1050, and network interface 1060. However, the method of connecting the processor 1020 and the like to each other is not limited to a bus connection.

[0033] The processor 1020 is implemented by a central processing unit (CPU) or a graphics processing unit (GPU).

[0034] The memory 1030 is a main storage device realized by a RAM (Random Access Memory) or the like.

[0035] The storage device 1040 is an auxiliary storage device realized by a hard disk drive (HDD), a solid state drive (SSD), a memory card, a read only memory (ROM), or the like. The storage device 1040 stores program modules that realize each function of the information processing device 100 (for example, the wearing information acquisition unit 102, the evaluation result output unit 104, the evaluation unit 106 described later, etc.). The processor 1020 loads each of these program modules onto the memory 1030 and executes them, thereby realizing each function corresponding to the program module. The storage device 1040 may also store each data of the storage device 120 of the information processing device 100 described later.

[0036] The program module may be recorded in a recording medium. The recording medium for recording the program module may include a non-transitory tangible medium usable by the computer 1000, and the program code readable by the computer 1000 (processor 1020) may be embedded in the medium.

[0037] The input / output interface 1050 is an interface for connecting the computer 1000 to various input / output devices. The input / output interface 1050 also functions as a communication interface for performing short-range wireless communication such as Bluetooth (registered trademark) and NFC (Near Field Communication).

[0038] The network interface 1060 is an interface for connecting the computer 1000 to a communication network 3. The communication network 3 is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network). The method for connecting the network interface 1060 to the communication network 3 may be a wireless connection or a wired connection.

[0039] The computer 1000 is connected to necessary devices (for example, a display, touch panel, operation buttons, touch pad, keyboard, mouse, speaker, microphone, camera, printer, etc. of the information processing device 100, and a display, touch panel, touch pad, operation buttons, keyboard, mouse, speaker, microphone, camera 210, printer, etc. of the user terminal 200) via the input / output interface 1050 or the network interface 1060. The display is, for example, a liquid crystal display, an organic EL (Electro-Luminescence) display, etc.

[0040] Each component of the information processing device 100 according to the present disclosure in each figure is realized by any combination of hardware and software of the computer 1000 in Figure 4. Those skilled in the art will understand that there are various modifications to the realization method and device. The functional block diagram showing the information processing device 100 according to the present disclosure in each figure shows blocks of logical functional units, not a configuration in hardware units.

[0041] <Example of functional configuration> The following explanation will be given with reference to FIG. The information processing device 100 includes a wearing information acquiring unit 102 and an evaluation result output unit 104. The wearing information acquiring unit 102 acquires diagnosis subject wearing information 130 indicating the clothing of the diagnosis subject.

[0042] The diagnosis target wearing information 130 indicating the clothes to be diagnosed is information about the clothes for which the user U is about to receive a diagnosis. The application or website of the coordination diagnosis system 1 (hereinafter simply referred to as the "coordination diagnosis system 1") includes an input operation menu for the clothes to be diagnosed in an operation menu. When the coordination diagnosis system 1 receives a selection of the input operation menu, it displays an input screen for receiving input of the clothes to be diagnosed. The input screen includes a UI (User Interface) for receiving input of various information of the diagnosis target wearing information 130. The wearing information acquisition unit 102 receives and acquires the diagnosis target wearing information 130 input by a user operation using the UI of the input screen.

[0043] There are various possible methods for inputting the diagnostic target wearing information 130 by the wearing information acquiring unit 102, and examples thereof are given below, but are not limited to these. In addition, a plurality of methods may be combined. (Input Method Example 1) The camera 210 of the user terminal 200 is started, guidance is output to capture an image of the entire body of the user U wearing the clothes to be diagnosed, and the image generated by the camera 210 is acquired. The acquired image is processed by an image processing unit (not shown) to identify the clothes of the user U.

[0044] (Input Method Example 2) An image of the clothing to be diagnosed, which has been photographed in advance by the user U and stored in the storage device 1040 of the user terminal 200, is selected and registered by a user operation on the input screen. The image is processed by the image processing unit to identify the clothing of the user U.

[0045] (Example of input method 3) Information regarding the clothes owned by user U (wardrobe information 150 described later) is registered, and the user operates the input screen to select the outfit to be diagnosed from a list of clothes in user U's wardrobe, etc.

[0046] There are various methods for identifying clothing by the image processing unit, including, but not limited to, the following examples. A plurality of methods may be combined. (Example of identification method 1) Using characteristic information of each piece of clothing registered in wardrobe information 150, each piece of clothing worn by user U is identified by comparing the characteristic information with characteristic information of each piece of clothing extracted from an image of the clothing to be diagnosed. (Example of identification method 2) Using machine learning, the clothes worn by user U are estimated from an image of the clothing to be diagnosed.

[0047] The clothing feature information includes feature amounts extracted from an image of the clothing. Furthermore, the clothing feature information may include information indicating the material, color, shape, appropriate wearing occasions, seasons in which the clothing can be worn, and the like. Such information may be stored in wardrobe information 150, which will be described later. In addition, in conjunction with the clothing purchase information of the user U, information regarding the clothing purchased by the user U may be obtained from the purchasing site of the clothing, etc.

[0048] FIG. 5 is a diagram showing an example of the data structure of the diagnostic subject wearing information 130. As shown in FIG. The diagnostic target wearing information 130 stores information for each user U. The diagnostic target wearing information 130 is stored in the storage device 120 or the memory 1030 or storage device 1040 of the computer 1000 in association with identification information capable of identifying the user U (indicated as a user ID in the drawing), information indicating the wearing date and time, information capable of identifying the wearing scene, and image data captured while the user U is wearing the clothes.

[0049] Various pieces of information described below may also be stored in the storage device 120, or in the memory 1030 or storage device 1040 of the computer 1000 (at least one of the information processing device 100 and the user terminal 200). In the following description, "stored in the storage device 120" means "stored in the storage device 120, or in the memory 1030 or storage device 1040 of the computer 1000."

[0050] The information indicating the wearing date and time is information indicating the date and time when the clothes to be diagnosed are worn. It includes at least information indicating the date, and does not necessarily include information indicating the time. However, since the temperature and weather change depending on the time, and the wearing scene changes between daytime and nighttime, it is preferable to include time information. The wearing date and time may also be information indicating a period. For example, the wearing date and time may be between 6:00 p.m. and 10:00 p.m. on the day to be diagnosed.

[0051] The information indicating the wearing date and time may be automatically input by acquiring the date and time when the user U displayed the input screen, or the input of the planned wearing date and time may be accepted by the user's operation on the input screen. The information indicating the wearing date and time is used to specify at least one of the weather (including temperature, humidity, etc.) and the season at the time of wearing. Weather information can be acquired from a website that provides weather information, etc.

[0052] The wearing information acquisition unit 102 may acquire information indicating a wearing scene by accepting an input of a wearing scene by a user operation on an input screen or a selection from among options. Alternatively, the wearing information acquisition unit 102 may acquire information indicating a wearing scene by acquiring a schedule of the user U corresponding to the wearing date and time from a schedule management application with which the user U has permitted collaboration, and identifying the wearing scene. The wearing scene includes, for example, commuting to school, commuting to work, staying at home, a party, a ceremonial occasion (wedding), a date, shopping, eating out, a drinking party, watching a movie, a concert, a museum, driving, outdoors, and the like. Furthermore, the wearing scene may include information indicating a place where the item is worn (which may include distinction between indoors / outdoors, etc.) and a region. The wearing information acquisition unit 102 can acquire more accurate information indicating the weather based on the information indicating the region and the above-mentioned information indicating the wearing date and time.

[0053] Furthermore, the information indicating the wearing scene may include information indicating a specific destination (for example, a store name, facility name, etc., or information indicating a region) and information that can identify people or groups to be met at the destination (for example, names or titles, or high school classmates, club members, etc.).

[0054] As described above, when the image data is received as an input, it is stored in association with the diagnostic subject wearing information 130. However, it does not necessarily have to be included in the diagnostic subject wearing information 130.

[0055] Furthermore, the diagnostic target wearing information 130 includes information on each piece of clothing (parts) of the diagnostic target outfit, which is identified by image processing or input by user operation. In this example, the diagnostic target wearing information 130 includes identification information (indicated as wearing information ID in the figure) that can identify each piece of clothing worn, and detailed information on each piece of clothing is stored in part-specific wearing information 132. However, the diagnostic target wearing information 130 may also include detailed information on each piece of clothing.

[0056] The wearing information ID may be an item ID capable of identifying each item in the wardrobe information 150 described later. Here, the item refers to each of clothing and clothing accessories. As described above, when the worn clothing is selected from the clothing included in the wardrobe information 150, the wearing information acquisition unit 102 registers the item ID corresponding to the selected clothing (item) as the wearing information ID in the diagnostic target wearing information 130. Alternatively, the wearing information acquisition unit 102 may read out information on the selected item corresponding to the ID corresponding to the item from the wardrobe information 150 and register it in the diagnostic target wearing information 130.

[0057] The wearing information acquiring unit 102 acquires an image generated by imaging a user U (subject) wearing the clothes to be diagnosed, and stores the image in the storage device 120. The wearing information acquiring unit 102 may also store diagnostic subject wearing information 130 in the storage device 120 as history information.

[0058] As described later, the history information of the diagnostic subject wearing information 130 is used to determine when and with whom the diagnostic subject wore the clothes last time when evaluating the wearing frequency.

[0059] FIG. 6 is a diagram showing an example of the data structure of the part-by-part wearing information 132. As shown in FIG. The part-specific wearing information 132 includes detailed information about each part being worn. For each piece of clothing (part), the information includes a wearing information ID, information indicating the part's classification, information indicating the part's color and pattern, information indicating the part's material, information indicating the part's shape, and part attribute information.

[0060] The information indicating part categories may be hierarchically classified, for example, into major categories such as bottoms, tops, dresses, suits, ensembles, clothing accessories, etc., medium categories of bottoms such as skirts, pants, etc., and minor categories of skirts such as mini, knee-length, midi, mid-calf length, long, maxi length, flared, tight, pleated, tucked, high-waisted, low-waisted, etc.

[0061] The information indicating the color or pattern may include not only information directly indicating the color (white, red, black, gold, etc.) or pattern (stripes, polka dots, floral, henley-bone, etc.) but also information indicating warm colors, cool colors, vivid colors, pastel colors, small patterns, large patterns, modern, chic, etc.

[0062] Information indicating the color or pattern can be used to calculate a compatibility evaluation value that evaluates the degree of match with the user U's personal color diagnosis results, a scene evaluation value that evaluates the degree of suitability with the wearing scene, and a fashion evaluation value that evaluates the degree of suitability with trends.

[0063] The information indicating the material includes information indicating the type of material such as cotton, synthetic fiber, denim, glossy, matte, lace, velvet, suede, see-through, thick / thin, and the presence or absence of functions such as breathability, quick-drying, warmth, and coolness. The information indicating the shape includes information regarding the shape of the collar (crew neck, U-shaped, square, turtleneck, square collar, round collar, stand-up collar, frill, etc., or large / small opening, etc.), the shape and length of the sleeves (sleeve, French, raglan, wing, dolman, set-in, puff, etc., or short sleeve, three-quarter length, long sleeve, long length, etc.).

[0064] When calculating a weather evaluation value described later, on days with high temperature and humidity, it is preferable for the material to be thin, breathable, quick-drying, cool, with a wide collar opening, sleeveless, short-sleeved, etc. When calculating a scene evaluation value described later, for example, if the wearing scene is a wedding reception, it is preferable for the material to be shiny, lace, velvet, etc.

[0065] The attribute information may include information indicating a wearing scene applicable to the part, and information indicating a season in which the part can be worn.

[0066] FIG. 7 is a diagram showing an example of the data structure of the wardrobe information 150. As shown in FIG. Wardrobe information 150 stores information about the wardrobe of each user U. For each item, identification information capable of identifying the item (indicated as an item ID in the figure) includes information indicating a part classification, an image of the item or feature information extracted from the image, and attribute information. The attribute information includes at least one of information indicating the color, material, shape, etc. of the item, information indicating a wearing scene in which the item can be applied, and information indicating a season in which the item can be worn. Furthermore, the attribute information may include information indicating the name of the store where the item was purchased, the URL (Uniform Resource Locator) of the website, the brand name, information capable of identifying the product (e.g., product code), etc.

[0067] Returning to Fig. 1, the evaluation result output unit 104 outputs the evaluation results of each evaluation axis obtained by evaluating the clothing along multiple evaluation axes using the diagnostic target wearing information 130. The detailed evaluation method will be described later. The evaluation result output unit 104 displays a result screen 400 showing the evaluation results on the display of the user terminal 200.

[0068] The evaluation results of the multiple evaluation axes include at least two of a weather evaluation value indicating the degree of compatibility between the weather when the outfit is worn and the outfit, a compatibility evaluation value indicating the degree of compatibility between the outfit and the user U (subject) wearing the outfit, a fashion evaluation value indicating the degree of compatibility between the outfit and trends, a situation evaluation value indicating the degree of compatibility between the outfit and the situation in which the outfit is worn, and a wearing frequency evaluation value indicating how often the outfit is worn by the user U (subject).

[0069] FIG. 8 is a diagram showing an example of the result screen 400. As shown in FIG. The result screen 400 includes an overall evaluation result display section 402 which indicates whether the coordination is good or bad as a result of the scoring, a detailed evaluation result display section 410 which shows the evaluation results of multiple evaluation axes using a bar graph 414, and a supplementary information display section 420.

[0070] In the overall evaluation result display field 402, for example, if the overall score of the evaluation values ​​evaluated on multiple evaluation axes is equal to or greater than a threshold value, information indicating that the evaluation is good (in the illustrated example, "Good", "Likes it!", etc.) is displayed. If the overall score is less than the threshold value, information indicating that the evaluation is not so good (for example, "Some advice given", "Try a little harder", etc.) is displayed. The information indicating the overall evaluation is merely an example and is not limited to these.

[0071] In this example, the detailed evaluation result display field 410 includes a bar graph 414 that shows the evaluation values ​​evaluated along two evaluation axes as the evaluation results. The detailed evaluation result display field 410 includes a label display field 412 that shows each evaluation axis, and bar graphs 416a and 416b in which the evaluation values ​​of each evaluation axis are shown in different colors or patterns. A reference line indicating a standard evaluation value may also be included in the middle of each bar graph 414. The reference line may be a different value for each evaluation value, or may be the same.

[0072] The evaluation result output unit 104 outputs the evaluation results for a plurality of evaluation axes on a single screen on a display. However, the evaluation result output unit 104 may accept the selection of at least one of the evaluation results along the multiple evaluation axes and display the result screen 400 including only the evaluation result along the selected evaluation axis on the display. Alternatively, the evaluation result output unit 104 may display multiple result screens 400 (for example, display multiple windows) including each evaluation result along each evaluation axis.

[0073] In this example, the supplemental information display field 420 includes an icon 422 for displaying other coordination examples similar to the coordination of the user U, and further includes an icon 424 for displaying information introducing parts that are recommended to be added.

[0074] Furthermore, the wearing information acquiring unit 102 may accept input of the user U's impressions after wearing the garment, and store the impressions in the storage device 120 in association with the diagnostic target wearing information 130. The impressions may be received as text input, or may be received as input of a score for at least one item, or as a level selection (such as a binary choice of good (success) / bad (failure), or a level selection from 1 to 5 levels, etc.).

[0075] Alternatively, the wearing information acquisition unit 102 may acquire the contents of SNS posts made by the user U that the user U has given permission to view (for example, "My friend complimented me on this skirt, it looks good on me!" along with an image of the item being worn), and use machine learning to acquire the user U's thoughts on the outfit or item in question.

[0076] The evaluation result output unit 104 can generate supplemental information using information indicating the impressions of the user U of the diagnostic target wearing information 130. The evaluation result output unit 104 can identify the preferences of the user U and identify favorite items from the information indicating the impressions of the user U. The evaluation result output unit 104 can generate supplemental information using such information.

[0077] <Example of operation> The following explanation will be given with reference to FIG. The wearing information acquisition unit 102 acquires the diagnosis target wearing information 130 indicating the clothes of the diagnosis target (step S101). For example, the wearing information acquisition unit 102 activates the camera 210 of the user terminal 200 to capture the clothes of the user U and acquires an image of the clothes of the diagnosis target. Then, the wearing information acquisition unit 102 identifies each piece of clothing using an image processing unit, and acquires the part-specific wearing information 132. Furthermore, the wearing information acquisition unit 102 acquires information indicating the date and time of wearing, acquires weather information, and identifies the season. Furthermore, the wearing information acquisition unit 102 acquires schedule information, and identifies the wearing scene, destination, and who to meet. The wearing information acquisition unit 102 stores the acquired diagnosis target wearing information 130 in the storage device 120. The evaluation result output unit 104 outputs the evaluation results of each evaluation axis obtained by evaluating the clothing along multiple evaluation axes using the diagnostic target wearing information 130 (step S103). As described above, the evaluation result output unit 104 displays the result screen 400 of FIG. 8 on the display of the user terminal 200.

[0078] As described above, the information processing device 100 includes the wearing information acquisition unit 102 and the evaluation result output unit 104. The wearing information acquisition unit 102 acquires diagnosis target wearing information indicating the clothes of the diagnosis target. The evaluation result output unit 104 uses the diagnosis target wearing information to evaluate the clothes along multiple evaluation axes and outputs the evaluation results for each evaluation axis. In this way, according to this embodiment, it is possible to appropriately evaluate whether the coordination of clothes that the user is actually planning to wear or is actually wearing is appropriate. Furthermore, according to this embodiment, the clothes being worn can be diagnosed and the evaluation results can be presented along multiple evaluation axes, so that the user U can immediately recognize what items are lowering the evaluation. Therefore, for example, if the evaluation regarding the weather is low, the user can focus on the temperature and humidity of the day and change to clothes that are more suitable for the weather. Also, if the evaluation regarding the scene is low, the user U can be made aware that the clothes being diagnosed are not suitable for the scene in which they will be worn, and can be prompted to change their clothes.

[0079] Furthermore, since the result screen 400 includes a supplemental information display field 420, if the above-mentioned evaluation is low, other coordination examples can be suggested to the user U, and further, parts that would be good to add can be introduced. Therefore, the user U can change his / her outfit to a better coordination according to the suggestions.

[0080] Second embodiment Fig. 9 is a block diagram showing a configuration of an information processing device 100 according to the present disclosure. As shown in Fig. 9, the information processing device 100 is the same as the information processing device 100 in Fig. 1 except that it further includes an evaluation unit 106. Note that each element in Fig. 9 may be combined with each element in one or more embodiments to the extent that no contradiction occurs.

[0081] <Example of functional configuration> The information processing device 100 includes the same wearing information acquiring unit 102 and evaluation result output unit 104 as in FIG. The evaluation unit 106 uses the diagnostic target wearing information 130 to identify the clothing of the diagnostic target, and generates an evaluation result including a plurality of evaluation values ​​obtained by evaluating the identified clothing along a plurality of evaluation axes. The calculated evaluation values ​​are stored in the storage device 120 as evaluation result information 140.

[0082] The evaluation unit 106 calculates at least two of the following five evaluation values: However, the evaluation values ​​are not limited to these. (Evaluation value 1) A weather evaluation value that indicates the degree of compatibility between the weather at the time of wearing the clothing and the clothing, calculated using weather information indicating the weather at the time and place the clothing is worn. (Evaluation value 2) A compatibility evaluation value indicating the degree of compatibility between the user U (subject) wearing the clothing and the clothing, calculated using the bone structure diagnosis and personal color diagnosis results of the user U who wears the clothing. (Evaluation value 3) A trend evaluation value that indicates the degree to which the outfit matches the trend, calculated using information on styling trends obtained from the Internet and the media. (Evaluation value 4) A scene evaluation value that indicates the degree of suitability of the clothing to the scene in which the clothing is worn, calculated using information about the material and shape of the clothing. (Evaluation value 5) A wearing frequency evaluation value calculated using at least one of information indicating the frequency with which the user U (subject) wears the outfit and information indicating the user U's impressions of the outfit.

[0083] The evaluation result output unit 104 outputs the evaluation result for each evaluation axis using the multiple evaluation values ​​calculated by the evaluation unit 106.

[0084] FIG. 10 is a diagram showing an example of the data structure of the evaluation result information 140. As shown in FIG. The evaluation result information 140 includes identification information (indicated as user ID in the figure) capable of identifying the user U, identification information (indicated as wearing information ID in the figure) for identifying the diagnostic target wearing information 130 to be evaluated, and each calculated evaluation value (weather evaluation value, compatibility evaluation value, fashion evaluation value, scene evaluation value, wearing frequency evaluation value, etc.) associated with each other.

[0085] There are various possible evaluation methods for each evaluation axis by the evaluation unit 106, and examples thereof are given below, but the method is not limited to these.

[0086] (Rating value 1:Weather) As an example, a comfortable range is set in advance for suitable weather information (temperature, humidity, probability of precipitation, wind volume, discomfort index, etc.) for each type, material, and shape of clothing. Weather information for the destination on the date and time of wearing is acquired, and depending on whether the weather information on the date and time of wearing is included in the range of weather information corresponding to the type, material, and shape of the diagnosed clothing, and if not, depending on how much it deviates, a score may be added or subtracted.

[0087] In another example, suitable types, materials, and shapes of clothing are preset according to weather information (sunny, rainy, cloudy, humid, calm, north wind, etc.) and seasons. Weather information for the destination on the date and time of wearing may be acquired, and the type, material, and shape of the clothing to be diagnosed may be scored using a point-adding or point-deducting system depending on whether or not the type, material, and shape of the clothing match the preset type, material, and shape.

[0088] (Rating value 2: compatibility) Information regarding the results of the bone structure diagnosis and personal color diagnosis of the user U may be obtained by acquiring information input by the user U in a setting menu in an operation menu, or by having the user U undergo each diagnosis in cooperation with each website for the bone structure diagnosis and personal color diagnosis to acquire the diagnosis results. The bone structure diagnosis and personal color diagnosis are evaluated using at least one of the diagnostic results.

[0089] Scoring may be performed by adding or subtracting points depending on whether the type, material, and shape of the clothes considered to suit the type of bone structure diagnosis match the type, material, and shape of the clothes to be diagnosed.Scoring may be performed by adding or subtracting points depending on whether the color and pattern considered to suit the personal color diagnosis match the color and pattern of the clothes to be diagnosed.

[0090] (Rating 3: Trending) Information on styling such as trendy clothing and outfits that are hot topics on the Internet such as SNS (Social Networking Service) and in media such as magazines and online articles, or outfits by stylists (which may be specialized for user U, or may be generalized using attribute information of user U (age, sex, occupation, taste, etc.) (for example, "commuter clothes for a female office worker in her 20s")) is acquired. The type, material, shape, and color of each piece of clothing in the acquired outfit are identified, and the degree of match between the information on each piece of clothing and the information on the clothing to be diagnosed is calculated for each category such as type, material, shape, color, etc. of clothing, and the sum of these may be used as an evaluation value. Note that the user's attribute information may be obtained from information entered by user U in a setting menu in the operation menu, and stored in storage device 120.

[0091] Furthermore, keywords may be used to evaluate fashion. Keywords that are trending in the Internet and media information are acquired. Meanwhile, in the wardrobe information 150, items that match the keywords are searched for using machine learning, and the keywords are associated with the attribute information of the corresponding items and stored. If the keyword is included in the attribute information of the clothing to be diagnosed, the evaluation value may be increased, and if the keyword is not included, the evaluation value may be decreased.

[0092] Furthermore, keywords and the like for evaluating the trend may be those proposed by apparel companies (for example, keywords indicating products that are the subject of sales promotion).

[0093] (Rating 4: Scene) As an example, appropriate coordination and information on clothing (type of clothing, material, shape, color, etc.) is registered in advance for each wearing occasion (TPO). Appropriate coordination and information on clothing (type of clothing, material, shape, color, etc.) is identified from the wearing occasion identified from the schedule corresponding to the diagnosis target date and time. The degree of agreement between the identified information and information on the diagnosis target clothing may be calculated for each item such as type of clothing, material, shape, color, etc., and the total may be used as an evaluation value.

[0094] As another example, information on suitable wearing scenes is stored as attribute information for each item owned by the user U in the wardrobe information 150. For the clothes to be diagnosed, the attribute information in the wardrobe information 150 is referenced to obtain information on suitable wearing scenes for the clothes. Depending on whether the obtained wearing scene matches the wearing scene specified from the schedule, the clothes may be scored using a point-adding or point-deducting method.

[0095] (Rating 5: Frequency of wear) For example, the wearing information acquisition unit 102 processes the image of the user U as described above to update the accumulated information indicating the frequency of wearing the clothes by the user U. Here, the information indicating the wearing frequency includes information indicating the date and time when the clothes were worn and the scene where the clothes were worn (destination, people met). The evaluation unit 106 uses the information indicating the wearing frequency to calculate an evaluation value of the wearing frequency of the clothes.

[0096] For example, the history information of the diagnosis target wearing information 130 is used to identify the date and time when the diagnosis target's clothes were worn, and the wearing frequency is calculated. If the wearing frequency is higher than a first threshold, points may be deducted. Furthermore, the scene in which the diagnosis target wore the clothes and the person who is scheduled to meet are identified, and the wearing frequency is calculated for each wearing scene and each person. If the wearing frequency for each wearing scene and each person is higher than a second threshold, further points may be deducted. In this way, if the same clothes are worn multiple times, the evaluation can be lowered to encourage the user U to wear other clothes.

[0097] In addition, if the frequency of wearing is lower than a third threshold, the score may be increased. In this way, if there is an outfit that the user U does not usually wear, the score can be increased so that the user U can be sure that he or she is not wearing the same outfit, and can wear it with peace of mind.

[0098] The wearing frequency is preferably calculated for each item included in the above-mentioned wardrobe information 150. This makes it possible to encourage the wearing of items that have never been worn in the function of suggesting other coordinations. For example, items corresponding to clothes suitable for the wearing scene planned by the user U on the diagnosis target date and time may be extracted from the wardrobe information 150, the wearing frequency of the items may be calculated, and coordination may be suggested using items whose wearing frequency is lower than the third threshold value.

[0099] Furthermore, for either evaluation value, machine learning may be used to identify items including the type, material, shape, color, etc. of clothing recommended for each evaluation axis, and an evaluation value indicating how well the clothing being worn matches each of the identified clothing items may be calculated.

[0100] Moreover, the above-mentioned methods may be combined for scoring.

[0101] <Example of operation> FIG. 11 is a flowchart showing the processing operation of the information processing device 100 according to the present disclosure. This flow has the same step S101 as the flow in FIG. 2, and also has steps S201 to S205 instead of step S103 in FIG.

[0102] First, the wearing information acquiring unit 102 acquires the diagnostic subject wearing information 130 indicating the clothes of the diagnostic subject (step S101). The diagnostic subject wearing information 130 acquired by the wearing information acquiring unit 102 is stored in the storage device 120.

[0103] Next, the evaluation unit 106 uses the diagnostic target wearing information 130 to identify the clothes to be diagnosed (step S201). Then, the evaluation unit 106 generates an evaluation result including a plurality of evaluation values ​​obtained by evaluating the identified clothes along a plurality of evaluation axes (step S203). The calculated evaluation values ​​are stored in the storage device 120 as evaluation result information 140.

[0104] Then, the evaluation result output unit 104 outputs the evaluation result of each evaluation axis using the multiple evaluation values ​​calculated by the evaluation unit 106 (step S205). For example, the evaluation result output unit 104 displays the result screen 400 of FIG. 12 on the display of the user terminal 200.

[0105] 12 and 13 are diagrams showing an example of the result screen 400. FIG. The result screen 400 in Figures 12 and 13 differs from the result screen 400 in Figure 8 in that a graph 430 showing the evaluation values ​​evaluated along five evaluation axes as evaluation results is displayed as a radar chart in the detailed evaluation result display area 410.

[0106] The evaluation result output unit 104 outputs the evaluation result in the form of a graph 430 having a plurality of evaluation axes. Graph 430 has five evaluation axes 432, and includes label display fields 412 that show information indicating the evaluation axes 432. Graph 430 further includes chart 440 that connects the evaluation values ​​of each evaluation axis, and reference line 434 that connects standard evaluation values.

[0107] 13, the evaluation result output unit 104 outputs identifiable information for evaluation values ​​lower than the reference line 434, which are shown in the chart 440, to the result screen 400. Specifically, in the overall evaluation result display field 402, information is displayed indicating that there is a low evaluation value, and therefore advice is available to improve the evaluation. In this example, the message "Advice Available" is displayed in the overall evaluation result display field 402.

[0108] Furthermore, the evaluation result output unit 104 outputs the labels of the evaluation axis (in this example, "wearing frequency") having an evaluation value lower than the reference line 434 by highlighting 450 in an identifiable manner (for example, highlighting, blinking, changing the color, enlarging, bolding, changing the font, animation, superimposing a highlight mark, etc.).

[0109] When the evaluation result output unit 104 receives input of change request information indicating that the evaluation value evaluated for a specific evaluation axis from among multiple evaluation axes is to be made higher than the evaluation result, it outputs a proposal for changing the clothing required to increase the evaluation value of the specific evaluation axis.

[0110] The evaluation result output unit 104 accepts an input of change request information for the evaluation result of a specific evaluation axis by accepting an operation on the graph 430 regarding the evaluation result of the specific evaluation axis.

[0111] Specifically, when evaluation result output section 104 receives a selection operation (e.g., a touch operation) of an area of ​​label display field 412 of the evaluation axis of wearing frequency in Fig. 13, it displays screen 500 (Fig. 14) displaying information indicating factors that are lowering the evaluation of the wearing frequency. Screen 500 includes an image display section 502 of the garment to be diagnosed, and a comment display section 504 displaying information indicating factors that are lowering the evaluation of the wearing frequency.

[0112] The image display unit 502 may display the clothes to be diagnosed in a graphic form for each part. The comment display unit 504 may display a comment on the coordinated body part, or a comment on a specific part. In this case, the comment display unit 504 displays the comment in association with the specific part (for example, by pointing the balloon at the position of the specific part). The configuration for evaluating each part will be described later.

[0113] In this example, as a factor lowering the evaluation of the frequency of wearing, information indicating that the diagnosed clothing was also worn the last time that person A, who is scheduled to meet on the date and time that the clothing was worn, is displayed in the comment display section 504. Therefore, by referring to this information, the user U can realize that the outfit is the same as the last time that the user met A, and can change the outfit.

[0114] The change request information may be, for example, an instruction for the user U to change clothes and then photograph and diagnose the outfit to be diagnosed again, or an instruction to accept items to be changed from the wardrobe information 150 and perform a diagnosis again using the changed items.

[0115] In this case, as shown in a screen 500 in FIG. 15, the evaluation result output unit 104 displays the clothes to be diagnosed on an image display unit 502 in a graphical manner for each part. When the evaluation result output unit 104 receives a top selection operation (e.g., a touch operation or a mouse over) by the user U, the evaluation result output unit 104 may display a suggested comment display unit 510. In this example, an alternative top suggestion for increasing the evaluation is presented. The evaluation result output unit 104 selects the presented item from the wardrobe information 150. However, the evaluation result output unit 104 may suggest clothes that the user U does not own. In that case, the evaluation result output unit 104 may display a link including a URL of a website where the clothes can be purchased.

[0116] Furthermore, the evaluation result output section 104 may receive an instruction to perform the diagnosis again by receiving a selection operation of an item or URL displayed in the proposed comment display section 510.

[0117] The evaluation result output unit 104 displays a screen 500 showing information related to the evaluation of a specific evaluation axis by accepting a selection operation in the label display field 412 of the specific evaluation axis of the graph 430 on the result screen 400. Various information related to the evaluation of the evaluation axis is possible for each evaluation axis, and examples thereof are shown below, but are not limited to these.

[0118] (Weather evaluation axis) Information indicating that the weather or season is not appropriate for the subject's clothing If low temperatures are expected, information suggesting additional cold weather gear such as jackets and scarves Information suggesting that people change to short sleeves, thin clothing, or clothing made of breathable, quick-drying materials when high temperatures and humidity are expected

[0119] (Compatibility evaluation axis) Information on clothing that is considered to suit the type of user U based on the results of the skeletal diagnosis, and information indicating that the clothes to be diagnosed do not suit the user U Information indicating that the colors and patterns that are considered to suit the user U as a result of the personal color diagnosis do not match the clothes that are the subject of the diagnosis Information suggesting alternative outfits that match the user U's skeletal type Information proposing different coordination of colors and patterns that suit user U as a result of personal color diagnosis of user U

[0120] (Trend evaluation axis) Information on trendy outfit suggestions

[0121] (Scene evaluation axis) Information indicating that the clothes being diagnosed do not match the intended wearing occasion Information that suggests outfits that suit the intended wearing occasion

[0122] (Evaluation axis for frequency of wearing) Information indicating how many times the target clothing item has been worn recently (more than a certain number of times within a certain period of time) Information indicating that the clothing to be diagnosed has been worn in a similar situation (destination, person met, etc.) (e.g., the person was wearing the clothing the last time they met) Other coordination suggestions

[0123] In this way, by operating the label display field 412 for a specific evaluation axis of the graph 430 on the result screen 400, it is possible to display a screen 500 showing information regarding the evaluation of that evaluation axis, so that for items with low ratings, the evaluation value can be increased by following the advice and changing the coordination.

[0124] Furthermore, the evaluation result output unit 104 may unify and display a plurality of evaluation axes in different colors or visual representation methods. For example, the evaluation result output unit 104 assigns a specific color or visual representation method to each evaluation axis, and displays the evaluation axis 432 of the graph 430 of the result screen 400 and the color or visual representation method of the label display field 412 in the corresponding color or visual representation method. Furthermore, the evaluation result output unit 104 may display the color or visual representation method of the display frame, background, title, etc. of the screen 500 showing information related to the evaluation axis in the color or visual representation method assigned to the evaluation axis.

[0125] Examples of visual expression methods include specific patterns, specific expression effects (sparkling, blinking, etc.), specific animations, superimposed display of icons, and the like.

[0126] In this way, the user U can determine at a glance which evaluation axis the information relates to.

[0127] As described above, the information processing device 100 includes the evaluation unit 106. The evaluation unit 106 uses the diagnosis target wearing information 130 to identify the clothing of the diagnosis target, and generates an evaluation result including a plurality of evaluation values ​​obtained by evaluating the identified clothing along a plurality of evaluation axes. The evaluation result output unit 104 outputs the evaluation result of each evaluation axis using the plurality of evaluation values ​​calculated by the evaluation unit 106.

[0128] In this way, according to this embodiment, the same effects as those of the above embodiment are achieved, and further, as in the result screen 400, the evaluation results of each evaluation axis are output in graph 430 using the multiple evaluation values ​​calculated by the evaluation unit 106, so that the evaluation contents can be understood at a glance. The evaluation result output unit 104 further displays information that can specify the evaluation axis with a low evaluation, so that the user U can recognize which evaluation axis has a low evaluation.

[0129] Furthermore, the evaluation result output unit 104 accepts input of change request information for the evaluation result of a specific evaluation axis, and therefore can accept item change operations for changing the evaluation result of an evaluation axis with a low evaluation, and can cause a re-evaluation. This allows the user U to smoothly change his / her coordination to improve his / her evaluation.

[0130] Third embodiment The information processing device 100 of this embodiment is the same as the information processing device of the above-mentioned embodiment, except that it has a configuration for outputting an evaluation result for each of a plurality of parts (clothes, etc.) that constitute an outfit. Hereinafter, the description will be given with reference to Fig. 9. Note that each element of this embodiment may be combined with each element of one or more embodiments to the extent that no contradiction occurs.

[0131] <Example of functional configuration> The clothes to be diagnosed include a plurality of parts (corresponding to the major categories of clothing parts described above). The evaluation unit 106 calculates an evaluation value for each part along a plurality of evaluation axes. The calculated evaluation values ​​are stored in the storage device 120 as part-by-part evaluation result information 142. The evaluation result output unit 104 outputs information that enables identification of a part whose evaluation axis has a lower evaluation value than other parts, for an evaluation axis that shows a lower evaluation value than other parts, out of the evaluation values ​​of multiple evaluation axes evaluated for each part.

[0132] FIG. 16 is a diagram showing an example of the data structure of the part-by-part evaluation result information 142. As shown in FIG. The part-by-part evaluation result information 142 includes identification information (indicated as user ID in the figure) capable of identifying the user U, and further includes, for each part, identification information (indicated as wearing information ID in the figure) for identifying the diagnostic target wearing information 130 of the evaluation target, and each calculated evaluation value (weather evaluation value, compatibility evaluation value, fashion evaluation value, situation evaluation value, wearing frequency evaluation value, etc.) associated with each other.

[0133] The parts are the categories indicated by the major categories of parts described above. That is, the parts include at least one of bottoms, tops, dresses, suits, ensembles, and clothing accessories (shoes (including socks, etc.), hats, bags, scarves, accessories, etc.).

[0134] As described above, the evaluation result output unit 104 outputs information that enables identification of parts whose evaluation axis has a lower evaluation value than other parts, for an evaluation axis that shows a lower evaluation value than other parts, among the evaluation values ​​of multiple evaluation axes evaluated by part.

[0135] For example, the evaluation unit 106 may calculate an evaluation value on the scene evaluation axis for each part, and the evaluation result output unit 104 may identify a part (e.g., a top) whose evaluation value is lower than a reference value, and highlight the area of ​​the top on the screen 500 of Fig. 15. Furthermore, information indicating that the part is not suitable for the wearing scene may be displayed in the suggestion comment display unit 510. The suggestion comment display unit 510 may be displayed by a selection operation by the user U, as shown below, or may be automatically displayed when the evaluation axis is low.

[0136] The evaluation result output unit 104 can accept input of change request information (e.g., an instruction to change the item of a part to another item) indicating that the evaluation value evaluated for a specific evaluation axis from among multiple evaluation axes is to be made higher than the evaluation result.

[0137] When the evaluation result output unit 104 receives a selection operation by the user U of a highlighted part (tops in this case), it may display the suggested comment display unit 510. Also, when the evaluation result output unit 104 receives a selection operation of the display area of ​​a non-highlighted part (bottoms in this case), it may display the suggested comment display unit 510 showing, for example, other clothes suggested based on trends.

[0138] The comment may be about the entire outfit as in Fig. 14, or may indicate the content of each part as in Fig. 15. Furthermore, the evaluation result output unit 104 may display both together.

[0139] As described above, there are various possible methods for inputting the change request information other than, for example, accepting a selection operation of a graphic display area corresponding to each part on the screen 500. For example, the change request information may be input by accepting an operation of a UI such as an operation button or icon such as "whole" or "bottoms" for each part, or by accepting an operation of U1 such as a list or check button. Alternatively, the change request information may be input by accepting an instruction to retake an image of the diagnosis target, as described above.

[0140] The evaluation result output unit 104 may obtain items corresponding to the specified parts from the wardrobe information 150 and display them as a list. At this time, it is preferable that the evaluation result output unit 104 identifies items that can increase the evaluation value from the wardrobe information 150 and displays them as a list. Specifically, the evaluation result output unit 104 selects items that will increase the evaluation for a specific evaluation axis (one that was low rated) (for example, items that are appropriate for the wearing scene when the evaluation of the scene evaluation axis is low) and proposes them as alternatives.

[0141] Furthermore, when proposing an alternative for a part in the proposed comment display unit 510, the evaluation result output unit 104 may generate the alternative using machine learning. Alternatively, the evaluation result output unit 104 may generate information indicating the characteristics of the item to be changed (the direction of change) (changing the color to a lighter color, changing the material to a softer one, etc.) using machine learning.

[0142] Furthermore, the evaluation result output unit 104 may suggest, as an alternative, a product that the user U does not own. The evaluation result output unit 104 may identify products that can improve the evaluation result from products that can be purchased at a mail order website previously specified by the coordination diagnosis system 1, or trendy products, and output them as alternatives. If the outfit to be diagnosed is not for the day but for a later date, the evaluation result output unit 104 suggests an unpurchased product as an alternative. However, an unpurchased product may be suggested as an alternative even on the day. The user U can be prompted to purchase the alternative product for the next time it is worn.

[0143] Furthermore, the evaluation result output unit 104 outputs parts having lower evaluation values ​​than other parts for each evaluation axis in a manner that allows them to be identified for each evaluation axis. Specifically, the evaluation result output unit 104 can surround the display portion of the part that lowers the evaluation value of a specific evaluation axis with a frame displayed on the screen 500 using the colors assigned to the evaluation axes or a visual expression method, display the display frame or background of the proposed comment display unit 510, superimpose an icon, etc. In this way, the user U can recognize which part is the cause of the low evaluation, and at the same time, recognize which evaluation axis has a low evaluation.

[0144] As described above, in the information processing device 100, the evaluation unit 106 calculates evaluation values ​​for each part for multiple evaluation axes. Then, the evaluation result output unit 104 outputs information that can identify a part having an evaluation axis with a lower evaluation value than other parts for an evaluation axis that shows a lower evaluation value than other parts, among the evaluation values ​​of the multiple evaluation axes evaluated for each part. In this way, according to this embodiment, the same effects as those of the above-mentioned embodiments are achieved, and further, the results of evaluating the clothing to be diagnosed on a part-by-part basis along multiple evaluation axes are output, so that the user U can easily recognize which parts to change and how to change them.

[0145] Although the embodiments of the present invention have been described above with reference to the drawings, these are merely examples of the present invention, and various configurations other than those described above can also be adopted. (Other embodiments) <Specifying the priority of evaluation criteria> The evaluation unit 106 may accept a selection of an evaluation axis that the user U particularly wants to emphasize among the above-mentioned multiple evaluation axes, and weight the evaluation values. The evaluation unit 106 may accept a designation of a priority order that the user U wants to emphasize for the multiple evaluation axes, and weight the evaluation values. For example, the evaluation unit 106 weights the evaluation values ​​by multiplying the evaluation value of the evaluation axis selected as being particularly important by a coefficient greater than 1, or by multiplying the other evaluation values ​​by coefficients less than 1.

[0146] Alternatively, the evaluation unit 106 may set a higher reference value for an evaluation axis that user U particularly wants to emphasize than the other evaluation axes, or set the reference values ​​for the other evaluation axes lower than the reference value for the evaluation axis that user U particularly wants to emphasize, thereby making the evaluation criteria for the evaluation axis that user U particularly wants to emphasize stricter and relaxing the evaluation criteria for the other evaluation axes.

[0147] Alternatively, the evaluation unit 106 may accept a selection of items to be excluded from the evaluation target among the multiple evaluation axes, and perform the evaluation excluding the selected evaluation axis. The evaluation result output unit 104 displays the result screen 400 excluding the evaluation axis specified to be excluded.

[0148] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be appropriately combined with other embodiments.

[0149] In addition, in the flowcharts used in the above description, the steps (processes) are described in order, but the order of the steps executed in each embodiment is not limited to the order described. In each embodiment, the order of the steps shown in the drawings can be changed as long as it does not affect the content. In addition, when information about a user (user U) is acquired and used in this disclosure, this will be done lawfully.

[0150] A part or all of the above-described embodiments can be described as, but are not limited to, the following supplementary notes. 1. A wearing information acquisition means for acquiring diagnostic subject wearing information indicating the clothes of a diagnostic subject; and an evaluation result output means for outputting an evaluation result for each of a plurality of evaluation axes obtained by evaluating the clothing along the plurality of evaluation axes using the diagnostic subject wearing information. 2. In the information processing device according to 1., The evaluation result output means outputs the evaluation results of the plurality of evaluation axes on a single screen on a display. 3. In the information processing device according to 1. or 2., An information processing device, wherein the evaluation results of the multiple evaluation axes include at least two of a weather evaluation value indicating the degree of compatibility between the weather when the clothing is worn and the clothing, a compatibility evaluation value indicating the degree of compatibility between the subject wearing the clothing and the clothing, a fashion evaluation value indicating the degree of compatibility between a fashion and the clothing, a scene evaluation value indicating the degree of compatibility between the clothing and a scene in which the clothing is worn, and a wearing frequency evaluation value indicating how often the subject wears the clothing. 4. In the information processing device according to any one of 1. to 3., An information processing device comprising: an evaluation means for identifying clothing of the diagnosis target using the diagnosis target wearing information, and generating the evaluation result including a plurality of evaluation values ​​obtained by evaluating the identified clothing along the plurality of evaluation axes. 5. In the information processing device according to 4., The evaluation means calculates at least two of the following evaluation values ​​(a) to (e): (a) a weather evaluation value indicating the degree of suitability of the clothing to the weather at the time of wearing the clothing, the weather evaluation value being calculated using weather information indicating the weather at the time of wearing the clothing and the location of the clothing; (b) a compatibility evaluation value indicating the degree of compatibility between the subject and the clothing, calculated using the bone structure diagnosis and personal color diagnosis results of the subject who wears the clothing; (c) a fashion evaluation value that indicates the degree of conformity between the outfit and the fashion, the fashion evaluation value being calculated using information on styling trends obtained from the Internet and the media; (d) a scene evaluation value that indicates the degree of suitability of the clothing to the scene in which the clothing is to be worn, calculated using information about the material and shape of the clothing; (e) a wearing frequency evaluation value calculated using at least one of information indicating the frequency with which the subject wears the outfit and information indicating the subject's impressions of the outfit; Information processing device. 6. In the information processing device according to any one of 1. to 5., The evaluation result output means is an information processing device that, when it receives input of change request information indicating that the evaluation value evaluated for a specific evaluation axis from among the multiple evaluation axes is to be made higher than the evaluation result, outputs proposed changes to the clothing necessary to increase the evaluation value of the specific evaluation axis. 7. In the information processing device according to 6., The evaluation result output means includes: outputting the evaluation result in a graph having the plurality of evaluation axes; an information processing device that accepts an input of the change request information for the evaluation result along the specific evaluation axis by accepting an operation on the graph regarding the evaluation result along the specific evaluation axis. 8. In the information processing device according to any one of 1. to 7., The wearing information acquisition means includes: acquiring an image generated by imaging a subject wearing the clothing to be diagnosed and storing the image in a storage means; updating information indicating a frequency with which the subject wears the garment by processing the image; The evaluation result output means outputs an evaluation result obtained by evaluating the clothing using information indicating the frequency of wearing the clothing as one of the multiple evaluation axes. 9. In the information processing device according to any one of 1. to 8., The clothing includes a plurality of parts, The evaluation result output means includes: outputting information that can identify a part having an evaluation axis that shows a lower evaluation value than other evaluation axes among the evaluation values ​​of the plurality of evaluation axes evaluated for each part; Information processing device. 10. In the information processing device according to 9., The evaluation result output means includes: an information processing device that outputs, for each of the evaluation axes, a part whose evaluation value is lower than other parts in such a manner that the part can be identified for each of the evaluation axes.

[0151] 11. A communication device used by a user; a server device connected to the communication device via a network, The server device includes: a wear information acquiring means for acquiring, from the communication device, wear information of a diagnosis subject indicating clothes of a diagnosis subject; and an evaluation result output means for evaluating the outfit along a plurality of evaluation axes using the diagnostic target wearing information and outputting the evaluation results for each of the evaluation axes to the communication device. 12. In the coordination diagnostic system according to 11., A coordination diagnosis system, wherein the evaluation result output means of the server device outputs the evaluation results of the multiple evaluation axes on a single screen display. 13. In the coordination diagnostic system according to 11. or 12., A coordination diagnosis system, wherein the evaluation results of the multiple evaluation axes include at least two of a weather evaluation value indicating the degree of compatibility between the weather when the outfit is worn and the outfit, a compatibility evaluation value indicating the degree of compatibility between the subject wearing the outfit and the outfit, a fashion evaluation value indicating the degree of compatibility between a fashion and the outfit, a situation evaluation value indicating the degree of compatibility between the outfit and the situation in which the outfit is worn, and a wearing frequency evaluation value indicating how frequently the outfit is worn by the subject. 14. In the coordination diagnostic system according to any one of 11 to 13, The server device includes: A coordination diagnosis system comprising an evaluation means for identifying an outfit to be diagnosed using the diagnostic target wearing information, and generating the evaluation result including a plurality of evaluation values ​​obtained by evaluating the identified outfit along the plurality of evaluation axes. 15. In the coordination diagnostic system according to 14., The evaluation means of the server device calculates at least two of the following evaluation values ​​(a) to (e): (a) a weather evaluation value indicating the degree of suitability of the clothing to the weather at the time of wearing the clothing, the weather evaluation value being calculated using weather information indicating the weather at the time of wearing the clothing and the location of the clothing; (b) a compatibility evaluation value indicating the degree of compatibility between the subject and the clothing, calculated using the bone structure diagnosis and personal color diagnosis results of the subject who wears the clothing; (c) a fashion evaluation value that indicates the degree of conformity between the outfit and the fashion, the fashion evaluation value being calculated using information on styling trends obtained from the Internet and the media; (d) a scene evaluation value that indicates the degree of suitability of the clothing to the scene in which the clothing is to be worn, calculated using information about the material and shape of the clothing; (e) a wearing frequency evaluation value calculated using at least one of information indicating the frequency with which the subject wears the outfit and information indicating the subject's impressions of the outfit; Coordination diagnostic system. 16. In the coordination diagnostic system according to any one of 11. to 15., A coordination diagnosis system in which, when the evaluation result output means of the server device receives input of change request information indicating that the evaluation value evaluated for a specific evaluation axis from among the multiple evaluation axes is to be made higher than the evaluation result, the server device outputs suggested changes to the clothing required to raise the evaluation value of the specific evaluation axis. 17. In the coordination diagnostic system according to 16., The evaluation result output means of the server device outputting the evaluation result in a graph having the plurality of evaluation axes; A coordination diagnostic system that accepts input of change request information for the evaluation results along the specific evaluation axis by accepting operations on the graph regarding the evaluation results along the specific evaluation axis. 18. In the coordination diagnostic system according to any one of 11 to 17, The wearing information acquisition means of the server device acquiring an image generated by imaging a subject wearing the clothing to be diagnosed and storing the image in a storage means; updating information indicating a frequency with which the subject wears the garment by processing the image; The evaluation result output means outputs an evaluation result obtained by evaluating the outfit using information indicating the frequency of wearing as one of the multiple evaluation axes, in the coordination diagnosis system. 19. In the coordination diagnostic system according to any one of 11. to 18., The clothing includes a plurality of parts, The evaluation result output means of the server device outputting information that can identify a part having an evaluation axis that shows a lower evaluation value than other evaluation axes among the evaluation values ​​of the plurality of evaluation axes evaluated for each part; Coordination diagnostic system. 20. In the coordination diagnostic system according to 19., The evaluation result output means of the server device The coordination diagnosis system outputs, for each of the evaluation axes, parts whose evaluation values ​​are lower than other parts in a manner that allows them to be identified for each of the evaluation axes.

[0152] 21. One or more computers Acquire diagnostic subject wear information indicating the clothes of the diagnostic subject; An information processing method comprising: evaluating the clothing along a plurality of evaluation axes using the diagnostic subject wearing information; and outputting evaluation results for each of the evaluation axes. 22. In the information processing method according to 21., The one or more computers: An information processing method, comprising: outputting evaluation results based on the multiple evaluation axes on a single screen display. 23. In the information processing method according to 21. or 22., An information processing method, wherein the evaluation results of the multiple evaluation axes include at least two of: a weather evaluation value indicating the degree of compatibility between the weather when the outfit is worn and the outfit; a compatibility evaluation value indicating the degree of compatibility between the subject wearing the outfit and the outfit; a fashion evaluation value indicating the degree of compatibility between a fashion and the outfit; a scene evaluation value indicating the degree of compatibility between the outfit and a scene in which the outfit is worn; and a wearing frequency evaluation value indicating how often the outfit is worn by the subject. 24. In the information processing method according to any one of 21 to 23, The one or more computers: An information processing method comprising: using the diagnostic subject wearing information to identify clothing of the diagnostic subject; and generating the evaluation result including a plurality of evaluation values ​​obtained by evaluating the identified clothing along the plurality of evaluation axes. 25. In the information processing method according to 24., The one or more computers: Calculate at least two of the following evaluation values ​​(a) to (e): (a) a weather evaluation value indicating the degree of suitability of the clothing to the weather at the time of wearing the clothing, the weather evaluation value being calculated using weather information indicating the weather at the time of wearing the clothing and the location of the clothing; (b) a compatibility evaluation value indicating the degree of compatibility between the subject and the clothing, calculated using the bone structure diagnosis and personal color diagnosis results of the subject who wears the clothing; (c) a fashion evaluation value that indicates the degree of conformity between the outfit and the fashion, the fashion evaluation value being calculated using information on styling trends obtained from the Internet and the media; (d) a scene evaluation value that indicates the degree of suitability of the clothing to the scene in which the clothing is to be worn, calculated using information about the material and shape of the clothing; (e) a wearing frequency evaluation value calculated using at least one of information indicating the frequency with which the subject wears the outfit and information indicating the subject's impressions of the outfit; Information processing methods. 26. In the information processing method according to any one of 21 to 25, The one or more computers: When an input of change request information is received indicating that an evaluation value evaluated along a specific evaluation axis from among the multiple evaluation axes is to be made higher than the evaluation result, the information processing method outputs proposed changes to the clothing required to increase the evaluation value along the specific evaluation axis. 27. In the information processing method according to 26., The one or more computers: outputting the evaluation result in a graph having the plurality of evaluation axes; An information processing method, comprising: accepting an input of change request information for the evaluation results along the specific evaluation axis by accepting an operation on the graph regarding the evaluation results along the specific evaluation axis. 28. In the information processing method according to any one of 21 to 27, The one or more computers: acquiring an image generated by imaging a subject wearing the clothing to be diagnosed and storing the image in a storage means; updating information indicating a frequency with which the subject wears the garment by processing the image; An information processing method, comprising: outputting an evaluation result of the clothing using information indicating the frequency of wearing the clothing as one of the multiple evaluation axes. 29. In the information processing method according to any one of 21 to 28, The clothing includes a plurality of parts, The one or more computers: outputting information that can identify a part having an evaluation axis that shows a lower evaluation value than other evaluation axes among the evaluation values ​​of the plurality of evaluation axes evaluated for each part; Information processing methods. 30. In the information processing method according to 29., The one or more computers: The information processing method further comprises outputting, for each of the evaluation axes, parts whose evaluation values ​​are lower than other parts in such a manner that they can be identified for each of the evaluation axes.

[0153] 31. To the computer: A wearing information acquisition process for acquiring diagnostic subject wearing information indicating the clothes of a diagnostic subject; A program for executing an evaluation result output process that uses the diagnostic subject wearing information to evaluate the clothing along a plurality of evaluation axes and outputs evaluation results for each of the evaluation axes. 32. In the program according to 31., A program that outputs the evaluation results of the multiple evaluation axes on a single screen display in the evaluation result output process. 33. In the program according to 31. or 32., A program in which the evaluation results of the multiple evaluation axes include at least two of: a weather evaluation value indicating the degree of compatibility between the weather when the outfit is worn and the outfit; a compatibility evaluation value indicating the degree of compatibility between the subject wearing the outfit and the outfit; a fashion evaluation value indicating the degree of compatibility between a fashion and the outfit; a scene evaluation value indicating the degree of compatibility between the outfit and the scene in which the outfit is worn; and a wearing frequency evaluation value indicating how often the outfit is worn by the subject. 34. In the program according to any one of 31. to 33., A program to be further executed by a computer to perform an evaluation process that uses the diagnostic subject wearing information to identify clothing of the diagnostic subject and generate the evaluation result including a plurality of evaluation values ​​evaluated along the plurality of evaluation axes for the identified clothing. 35. In the program according to 34., In the evaluation process, at least two of the following evaluation values ​​(a) to (e) are calculated: (a) a weather evaluation value indicating the degree of suitability of the clothing to the weather at the time of wearing the clothing, the weather evaluation value being calculated using weather information indicating the weather at the time of wearing the clothing and the location of the clothing; (b) a compatibility evaluation value indicating the degree of compatibility between the subject and the clothing, calculated using the bone structure diagnosis and personal color diagnosis results of the subject who wears the clothing; (c) a fashion evaluation value that indicates the degree of conformity between the outfit and the fashion, the fashion evaluation value being calculated using information on styling trends obtained from the Internet and the media; (d) a scene evaluation value that indicates the degree of suitability of the clothing to the scene in which the clothing is to be worn, calculated using information about the material and shape of the clothing; (e) a wearing frequency evaluation value calculated using at least one of information indicating the frequency with which the subject wears the outfit and information indicating the subject's impressions of the outfit; program. 36. In the program according to any one of 31. to 35., In the evaluation result output process, when input of change request information is received indicating that an evaluation value evaluated along a specific evaluation axis from among the multiple evaluation axes is to be made higher than the evaluation result, the program outputs proposed changes to the clothing required to increase the evaluation value along the specific evaluation axis. 37. In the program according to 36., In the evaluation result output process, outputting the evaluation result in a graph having the plurality of evaluation axes; a program that accepts input of change request information for the evaluation results along the specific evaluation axis by accepting an operation on the graph regarding the evaluation results along the specific evaluation axis; 38. In the program according to any one of 31. to 37., In the wearing information acquisition process, acquiring an image generated by imaging a subject wearing the clothing to be diagnosed and storing the image in a storage means; updating information indicating a frequency with which the subject wears the garment by processing the image; The program outputs, in the evaluation result output process, an evaluation result obtained by evaluating the clothing using information indicating the frequency of wearing as one of the multiple evaluation axes. 39. In the program according to any one of 31. to 38., The clothing includes a plurality of parts, In the evaluation result output process, outputting information that can identify a part having an evaluation axis that shows a lower evaluation value than other evaluation axes among the evaluation values ​​of the plurality of evaluation axes evaluated for each part; program. 40. In the program described in paragraph 39, In the evaluation result output process, a program that outputs, for each of the evaluation axes, parts whose evaluation values ​​are lower than other parts in a manner that allows them to be identified for each of the evaluation axes;

[0154] 41. A process for acquiring information on clothes worn by a subject to diagnosis, the process acquiring information on clothes worn by a subject to diagnosis, the process A computer-readable recording medium storing a program for causing a computer to execute an evaluation result output process that uses the diagnostic target wearing information to evaluate the clothing along multiple evaluation axes and outputs evaluation results for each of the evaluation axes. 42. The recording medium according to 41., A computer-readable recording medium storing a program for outputting the evaluation results of the multiple evaluation axes on a single screen display in the evaluation result output process. 43. The recording medium according to 41. or 42. A computer-readable recording medium having a program stored therein, wherein the evaluation results of the multiple evaluation axes include at least two of a weather evaluation value indicating the degree of compatibility between the weather when the outfit is worn and the outfit, a compatibility evaluation value indicating the degree of compatibility between the subject wearing the outfit and the outfit, a fashion evaluation value indicating the degree of compatibility between fashion and the outfit, a scene evaluation value indicating the degree of compatibility between the outfit and the scene in which the outfit is worn, and a wearing frequency evaluation value indicating how often the outfit is worn by the subject. 44. In the recording medium according to any one of 41 to 43, A computer-readable recording medium storing a program for causing a computer to execute an evaluation process that uses the diagnostic subject wearing information to identify the clothing of the diagnostic subject and generate the evaluation result including a plurality of evaluation values ​​evaluated along the plurality of evaluation axes for the identified clothing. 45. The recording medium according to 44., In the evaluation process, at least two of the following evaluation values ​​(a) to (e) are calculated: (a) a weather evaluation value indicating the degree of suitability of the clothing to the weather at the time of wearing the clothing, the weather evaluation value being calculated using weather information indicating the weather at the time of wearing the clothing and the location of the clothing; (b) a compatibility evaluation value indicating the degree of compatibility between the subject and the clothing, calculated using the bone structure diagnosis and personal color diagnosis results of the subject who wears the clothing; (c) a fashion evaluation value that indicates the degree of conformity between the outfit and the fashion, the fashion evaluation value being calculated using information on styling trends obtained from the Internet and the media; (d) a scene evaluation value that indicates the degree of suitability of the clothing to the scene in which the clothing is to be worn, calculated using information about the material and shape of the clothing; (e) a wearing frequency evaluation value calculated using at least one of information indicating the frequency with which the subject wears the outfit and information indicating the subject's impressions of the outfit; A computer-readable recording medium that stores a program. 46. ​​In the recording medium according to any one of 41 to 45, A computer-readable recording medium having a program stored therein, in the evaluation result output process, when input of change request information is received indicating that an evaluation value evaluated for a specific evaluation axis from among the multiple evaluation axes is to be made higher than the evaluation result, a proposed change to the clothing required to increase the evaluation value of the specific evaluation axis is output. 47. The recording medium according to 46., In the evaluation result output process, outputting the evaluation result in a graph having the plurality of evaluation axes; A computer-readable recording medium having stored thereon a program that accepts input of change request information for the evaluation results of the specific evaluation axis by accepting operations on the graph regarding the evaluation results of the specific evaluation axis. 48. In the recording medium according to any one of 41 to 47, In the wearing information acquisition process, acquiring an image generated by imaging a subject wearing the clothing to be diagnosed and storing the image in a storage means; updating information indicating a frequency with which the subject wears the garment by processing the image; A computer-readable recording medium storing a program, in which the evaluation result output process outputs an evaluation result for the clothing using information indicating the frequency of wearing as one of the multiple evaluation axes. 49. In the recording medium according to any one of 41 to 48, The clothing includes a plurality of parts, In the evaluation result output process, outputting information that can identify a part having an evaluation axis that shows a lower evaluation value than other evaluation axes among the evaluation values ​​of the plurality of evaluation axes evaluated for each part; A computer-readable recording medium that stores a program. 50. The recording medium according to claim 49, In the evaluation result output process, A computer-readable recording medium storing a program for outputting, for each of the evaluation axes, parts whose evaluation values ​​are lower than other parts in such a manner that they can be identified for each of the evaluation axes. [Explanation of symbols]

[0155] 1 Coordination diagnostic system 3. Communication Network 100 Information processing device 102 Wearing information acquisition unit 104 Evaluation result output unit 106 Evaluation Department 120 Storage device 130 Diagnostic subject wear information 132 Wearing information by part 140 Evaluation result information 142 Part-by-part evaluation result information 150 Wardrobe Information 200 User terminals 210 Camera 400 Results screen 500 screens 1000 Computers 1010 Bus 1020 Processor 1030 Memory 1040 Storage Device 1050 Input / Output Interface 1060 Network Interface

Claims

1. A wear information acquisition means for acquiring diagnostic subject wear information indicating clothes of a diagnostic subject; and an evaluation result output means for outputting an evaluation result for each of a plurality of evaluation axes obtained by evaluating the clothing along the plurality of evaluation axes using the diagnostic subject wearing information.

2. 2. The information processing device according to claim 1, The evaluation result output means outputs the evaluation results of the plurality of evaluation axes on a single screen on a display.

3. 2. The information processing device according to claim 1, An information processing device, wherein the evaluation results of the multiple evaluation axes include at least two of: a weather evaluation value indicating the degree of compatibility between the weather when the clothing is worn and the clothing; a compatibility evaluation value indicating the degree of compatibility between the subject wearing the clothing and the clothing; a fashion evaluation value indicating the degree of compatibility between trends and the clothing; a scene evaluation value indicating the degree of compatibility between the clothing and the scene in which the clothing is worn; and a wearing frequency evaluation value indicating how often the subject wears the clothing.

4. 2. The information processing device according to claim 1, An information processing device comprising: an evaluation means for identifying clothing of the diagnosis target using the diagnosis target wearing information, and generating the evaluation result including a plurality of evaluation values ​​obtained by evaluating the identified clothing along the plurality of evaluation axes.

5. 2. The information processing device according to claim 1, The evaluation result output means is an information processing device that, when it receives input of change request information indicating that the evaluation value evaluated for a specific evaluation axis from among the multiple evaluation axes is to be made higher than the evaluation result, outputs proposed changes to the clothing necessary to increase the evaluation value of the specific evaluation axis.

6. 6. The information processing device according to claim 5, The evaluation result output means includes: outputting the evaluation result in a graph having the plurality of evaluation axes; an information processing device that accepts an input of the change request information for the evaluation result along the specific evaluation axis by accepting an operation on the graph regarding the evaluation result along the specific evaluation axis.

7. 2. The information processing device according to claim 1, The clothing includes a plurality of parts, The evaluation result output means includes: outputting information that can identify a part having an evaluation axis that shows a lower evaluation value than other evaluation axes among the evaluation values ​​of the plurality of evaluation axes evaluated for each part; Information processing device.

8. A communication device used by a user; a server device connected to the communication device via a network, The server device includes: a wear information acquiring means for acquiring, from the communication device, wear information of a diagnosis subject indicating clothes of a diagnosis subject; and an evaluation result output means for evaluating the outfit along a plurality of evaluation axes using the diagnostic target wearing information and outputting the evaluation results for each of the evaluation axes to the communication device.

9. One or more computers Acquire diagnostic subject wear information indicating the clothes of the diagnostic subject; An information processing method comprising: evaluating the clothing along a plurality of evaluation axes using the diagnostic subject wearing information; and outputting evaluation results for each of the evaluation axes.

10. On the computer, A wearing information acquisition process for acquiring diagnostic subject wearing information indicating the clothes of a diagnostic subject; A program for executing an evaluation result output process that uses the diagnostic subject wearing information to evaluate the clothing along a plurality of evaluation axes and outputs evaluation results for each of the evaluation axes.

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