Design diagnostic device, design diagnostic data production method and design diagnostic program

Abstract

A design diagnostic device, a method for producing design diagnostic data, and a design diagnostic program are provided that can support the improvement of efficiency in design production. [Solution] In a design diagnostic device (7), a receiving unit (711) receives hearing data including options selected from a plurality of hearing items for each hearing item as a plurality of hearing decisions, and design image data, which is data of an image showing a diagnostic design. An extraction unit (712) extracts a plurality of design elements from the design image data as extracted data. A diagnosis unit (713) uses a machine-learned diagnostic model to produce design evaluation data indicating evaluation results for the diagnostic design from the hearing data and the extracted data, and also produces design commentary data indicating explanatory comments on the diagnostic design, thereby producing design diagnostic data.

Description

[Technical Field]

[0001] The present disclosure relates to a design diagnostic device, a method for producing design diagnostic data, and a design diagnostic program. [Background technology]

[0002] Patent Document 1 discloses a design production support device that allows a user to select an option that matches the target impression of design production from a group of options on an impression map, and displays the target impression in an area on another reference impression map that corresponds to the option selected by the user. The conventional design production support device disclosed in Patent Document 1 makes it possible to compare impressions along multiple evaluation axes when actually evaluating the impression of design production. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-279924 Summary of the Invention [Problem to be solved by the invention]

[0004] With the conventional design production support device disclosed in Patent Document 1, when it is desired to improve the evaluation of the impression of a design, it is difficult to efficiently improve the impression of the design because it is not clear how to modify the design. As a result, it takes time and effort to modify the design to get closer to the target impression, and it is not possible to improve the efficiency of design production.

[0005] The present disclosure is intended to solve the above-mentioned problems, and aims to provide a design diagnostic device, a method for producing design diagnostic data, and a design diagnostic program that can support the improvement of efficiency in design production. [Means for solving the problem]

[0006] The design diagnostic device according to the present disclosure includes a reception unit that receives hearing data including, as a plurality of hearing decisions, options selected for each hearing item from a plurality of hearing items, each of which includes a plurality of options selectable by the user, and design image data, which is data of an image showing a diagnostic design; an extraction unit that extracts, from the design image data, a plurality of design elements that make up the diagnostic design as extracted data; and a diagnosis unit that uses a machine-learned diagnostic model to produce design evaluation data indicating evaluation results for the diagnostic design from the hearing data and the extracted data, and to produce design commentary data indicating explanatory comments on the diagnostic design, thereby producing design diagnostic data including the design evaluation data and the design commentary data. [Effects of the Invention]

[0007] According to the present disclosure, it is possible to support the improvement of efficiency in design production. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a configuration diagram showing an information processing system in which a design diagnosis device according to a first embodiment is used. [Figure 2] 2 is an explanatory diagram showing an input screen displayed on a display unit of the user terminal of FIG. 1. FIG. [Figure 3] FIG. 2 is a functional block diagram showing the management server device of FIG. 1. [Figure 4] 10 is an explanatory diagram showing a design evaluation screen that displays the evaluation results for an evaluation category indicating a concept, among a plurality of evaluation categories in the design evaluation data produced by the diagnosing unit of FIG. 3. FIG. [Figure 5] 10 is an explanatory diagram showing a design evaluation screen that displays evaluation results for an evaluation category indicating visuals among a plurality of evaluation categories in the design evaluation data produced by the diagnosing unit of FIG. 3. FIG. [Figure 6]10 is an explanatory diagram showing a design evaluation screen that displays the evaluation results for an evaluation category indicating content, among a plurality of evaluation categories in the design evaluation data produced by the diagnosing unit of FIG. 3; FIG. [Figure 7] 10 is an explanatory diagram showing a design evaluation screen that displays evaluation results for an evaluation category indicating usability among a plurality of evaluation categories in the design evaluation data produced by the diagnosing unit of FIG. 3. FIG. [Figure 8] 10 is an explanatory diagram showing a design evaluation screen that collectively displays evaluation results for each of a plurality of evaluation categories in the design evaluation data produced by the diagnosis unit of FIG. 3. FIG. [Figure 9] 4 is an explanatory diagram showing a design commentary screen based on design commentary data produced by the diagnosing unit of FIG. 3; FIG. [Figure 10] 4 is a flowchart showing a method by which the design diagnostic device of FIG. 3 produces design diagnostic data. [Figure 11] 2 is a configuration diagram showing a first example of a processing circuit that realizes the functions of the design diagnosis device according to the first embodiment. FIG. [Figure 12] FIG. 10 is a configuration diagram showing a second example of a processing circuit that realizes the functions of the design diagnosis device according to the first embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] The following describes embodiments of the subject matter of the present disclosure with reference to the accompanying drawings. In each drawing, identical or corresponding parts are designated by the same reference numerals, and redundant explanations are appropriately simplified or omitted. Note that the subject matter of the present disclosure is not limited to the following embodiments, and any component of the embodiments may be modified or omitted within the scope of the gist of the present disclosure.

[0010] Embodiment 1 1 is a configuration diagram showing an information processing system in which a design diagnosis device according to the first embodiment is used. For example, when a company or the like advertises, graphic designs are sometimes applied to media such as website pages, logos, pamphlets, and paper flyers. In this case, the graphic design needs to be created so that the message actually obtained from the graphic design, such as information such as brand image and project concept, matches the target message that the company or the like wants to convey to consumers.

[0011] The information processing system assesses how appropriately a graphic design is produced in relation to the target message that the user wants to convey through the graphic design. Users of the information processing system are expected to be companies that want to effectively communicate their company's message to consumers through graphic design.

[0012] The information processing system includes a management server device 1 and a plurality of user terminals 2. The management server device 1 is communicably connected to the plurality of user terminals 2 via a communication network 3. Examples of the communication network 3 include the Internet and a dedicated line network. The management server device 1 may be realized by either a cloud system or on-premise.

[0013] Each user terminal 2 is used by a user who uses the information processing system. Each user terminal 2 is a computer having an input unit, a display unit, and a communication unit. Examples of the user terminal 2 include a smartphone, a tablet terminal, and a desktop PC (Personal Computer). Each user terminal 2 is connected to a communication network 3 via the communication unit of the user terminal 2.

[0014] The input unit of each user terminal 2 is capable of inputting image data representing the graphic design that the user wants diagnosed, i.e., the diagnostic design, into the user terminal 2 as design image data. The input unit of the user terminal 2 that can input design image data into the user terminal 2 uses a scanner or the like when the medium on which the diagnostic design is affixed is paper, or a mouse, keyboard, or the like when the medium on which the diagnostic design is affixed is a website page, etc. Examples of design image data include PDF (Portable Document Format) data.

[0015] Furthermore, the input unit of each user terminal 2 is configured to allow the user to input hearing data to identify the target message that the user wants to convey through the diagnostic design into the user terminal 2. A mouse, keyboard, etc. are used as the input unit of the user terminal 2 that can input hearing data into the user terminal 2.

[0016] The display unit of each user terminal 2 is capable of displaying an input screen that prompts the user to input hearing data, based on input screen data transmitted from the management server device 1 to the user terminal 2 in response to a request from the user terminal 2. The hearing data is input into the user terminal 2 by operating the input screen with the input unit of the user terminal 2.

[0017] FIG. 2 is an explanatory diagram showing an input screen displayed on the display unit of the user terminal 2 of FIG. 1. The input screen for inputting hearing data into the user terminal 2 displays a plurality of predetermined, mutually different hearing items. Each hearing item is a basic item required to identify the target message that the user wants to convey through the diagnostic design. Examples of hearing items include the user's industry, the purpose of design production, and the target. The number of hearing items is expected to be, for example, 10, but is not limited to 10.

[0018] Each hearing item on the input screen displays multiple options that the user can select. The multiple options included in one hearing item are mutually different options related to the content of the hearing item. For example, a hearing item indicating the user's industry includes options such as manufacturing, retail, and construction. Also, a hearing item indicating the target audience includes options such as teens-twenties, twenties-thirties, female, and male.

[0019] On the input screen displayed on the display unit of the user terminal 2, one of multiple options can be selected for each hearing item by operating an input unit such as a mouse on the user terminal 2. The option selected for each hearing item is input to the user terminal 2 as a hearing decision. As a result, data including multiple hearing decisions selected for each of the multiple hearing items is input as hearing data to the user terminal 2. The target message that the user wants to convey through the diagnostic design is identified from the combination of multiple hearing decisions included in the hearing data.

[0020] Each user terminal 2 is capable of transmitting the hearing data and design image data input to the user terminal 2 to the management server device 1 via the communication network 3.

[0021] Fig. 3 is a functional block diagram showing the management server device 1 of Fig. 1. The management server device 1 has an input unit 4, a display unit 5, a communication unit 6, and a design diagnosis device 7.

[0022] The design diagnostic device 7 is connected to the communication network 3 by the communication unit 6. This allows the design diagnostic device 7 to transmit input screen data to the user terminal 2 in response to a request from the user terminal 2. The design diagnostic device 7 is also able to receive hearing data and design image data transmitted from the user terminal 2.

[0023] The design diagnostic device 7 is also capable of transmitting input screen data to the display unit 5 of the management server device 1. The display unit 5 has the same functions as the display unit of each user terminal 2. Therefore, the display unit 5 is capable of displaying an input screen using input screen data from the design diagnostic device 7.

[0024] The input unit 4 has the same functions as the input unit of each user terminal 2. Therefore, hearing data can be input to the design diagnostic device 7 by operating the input screen of the input unit 4. Also, design image data can be input to the design diagnostic device 7 by operating the input unit 4. As a result, the functions of the management server device 1 include the function of a user terminal used by a user.

[0025] The design diagnosis device 7 includes a control unit 71 and a storage unit 72 .

[0026] The storage unit 72 stores a design diagnostic program 721 and a diagnostic model 722. The storage unit 72 also stores input screen data for displaying an input screen on the display unit 5 of the management server device 1 and on the display unit of each user terminal 2. The control unit 71 is capable of transmitting the input screen data stored in the storage unit 72 to the display unit 5 of the management server device 1 and each user terminal 2.

[0027] The control unit 71 executes a process for diagnosing a diagnostic design based on the hearing data and the design image data. The design diagnosis program 721 is a program that causes the control unit 71 of the management server device 1 to execute a process for diagnosing a diagnostic design. The diagnostic model 722 is used when the process for diagnosing a diagnostic design is executed.

[0028] The control unit 71 includes a receiving unit 711 , an extracting unit 712 , and a diagnosing unit 713 .

[0029] The receiving unit 711 receives the hearing data and design image data received by the design diagnosis device 7.

[0030] The extraction unit 712 extracts, from the hearing data and design image data received by the reception unit 711, a plurality of design elements that make up the diagnostic design from the design image data as extracted data.

[0031] The design elements extracted by the extraction unit 712 from the design image data include multiple types of visual elements such as color, font, and layout. For example, by extracting colors such as yellow and red from the design image data, a color scheme based on a color combination is identified. Also, for example, by extracting a font from the design image data, the amount of characters in the diagnostic design, the amount of information based on the combination of characters, and emphasized parts of the characters are identified. Furthermore, for example, by extracting a layout based on the positional relationship of characters from the design image data, the organization state and priority of information are identified. In the design diagnostic device 7, the message actually obtained from the diagnostic design is identified based on the multiple design elements extracted from the design image data by the extraction unit 712.

[0032] The diagnosis unit 713 acquires the hearing data accepted by the acceptance unit 711 and the extracted data extracted by the extraction unit 712. The diagnosis unit 713 uses the diagnostic model 722 stored in the storage unit 72 to produce design evaluation data indicating the evaluation results for the diagnostic design from the hearing data and the extracted data, and also produces design commentary data indicating commentary comments on the diagnostic design. In this way, the diagnosis unit 713 produces design diagnosis data including the design evaluation data and the design commentary data.

[0033] The design evaluation data for a diagnostic design is data that indicates, as an evaluation result, which of a plurality of set levels the diagnostic design's evaluation level is for each of a plurality of evaluation items predetermined for each of a plurality of evaluation categories. The evaluation level of a diagnostic design is a level evaluated in relation to the target message that the user wants to convey through the diagnostic design, i.e., the message identified by the hearing data. Therefore, in the design evaluation data, the lower the degree to which the diagnostic design conveys the target message that the user wants to convey to consumers, the lower the evaluation level of the diagnostic design. In this embodiment, the diagnosis unit 713 has five set levels for each evaluation item: "strongly agree," "agree," "can't say," "disagree," and "not agree at all."

[0034] Each evaluation category is predetermined to evaluate the diagnostic design from a plurality of different perspectives. In this embodiment, concept, visual, content, and usability are each predetermined as an evaluation category.

[0035] Multiple evaluation items included in one evaluation category are items related to that evaluation category. Evaluation items included in the "concept" evaluation category include, for example, "Is it suitable for the industry?", "Is it suitable for the target audience?", "Is it suitable for the scale and number of users?", "Is the purpose, i.e., goal, clear?", and "Is the purpose appropriate?". Evaluation items included in the "visual" evaluation category include, for example, "Is the color scheme appropriate?", "Is it legible and legible?", "Is it well-balanced?", "Is the font appropriate?", "Is the font size appropriate?", and "Is there a sense of unity?". Evaluation items included in the "content" evaluation category include, for example, "Is the published content appropriate?", "Is the amount of information and word count appropriate?", "Is the grammar and context appropriate?", "Are the explanations and terminology appropriate?", "Are the figures and figures appropriate?", and "Is the contact information appropriate?". Evaluation items included in the "usability" evaluation category include, for example, "Can it lead to the goal?", "Is it easy to make an inquiry?", "Is it easy to use?", "Does it generate interest?", and "Did it leave a good impression?".

[0036] The diagnostic model 722 is a trained model that has been trained using machine learning to produce design evaluation data and design commentary data from hearing data and design image data. The machine learning is supervised learning that uses design image data samples and hearing data samples as input data and outputs evaluation levels corresponding to the design image data samples and hearing data samples for each evaluation item and commentary comments corresponding to the design image data samples and hearing data samples.

[0037] The design image data samples used are image data of multiple design samples in which at least one of the multiple design elements constituting the design samples is different from one another. For example, data on images of multiple design samples with different color combinations, images of multiple design samples with different fonts, images of multiple design samples with different character combinations, etc. are used as the multiple design image data samples.

[0038] As the hearing data samples, a plurality of hearing data samples are used, each of which has a different combination of a plurality of hearing decisions selected for each hearing item. In this embodiment, all combinations of a plurality of hearing decisions selected for each hearing item are reflected by the plurality of hearing data samples.

[0039] The evaluation levels corresponding to the design image data samples and the interview data samples are evaluation levels derived for each evaluation item using the knowledge of graphic design experts. For example, if the interview data sample targets "women," and the design elements extracted from the design image data sample contain many colors such as pink and red, the evaluation level for the evaluation item in the "visual" evaluation category is likely to be high. Also, for example, if the purpose of the planning in the interview data sample is "sales promotion," and the design elements extracted from the design image data sample contain characters of the same size but lacking contrast, the evaluation level for the evaluation item in the "usability" evaluation category is likely to be low.

[0040] The explanatory comments corresponding to the design image data samples and the hearing data samples are considered to be text information indicating opinions, suggestions, and other indications derived using the knowledge of graphic design experts. For example, if the hearing data sample targets "women," and the design elements extracted from the design image data sample contain many colors such as pink and red, the explanatory comment would be a suggestion that the color scheme in the design sample is appropriate. For example, if the planning purpose of the hearing data sample is "sales promotion," and the design elements extracted from the design image data sample contain uniform, lacking contrast in font size, the explanatory comment would be a suggestion to improve the font size in the design sample to add contrast. In machine learning to generate the diagnostic model 722, if the combination of design elements extracted from the design image data sample is inappropriate for the hearing data sample, the explanatory comment would be a suggestion to improve the inappropriate parts of the design sample.

[0041] The management server device 1 is capable of transmitting the design diagnostic data produced by the diagnosis unit 713 to the user terminal 2 that transmitted the hearing data and design image data. The display unit of the user terminal 2 that receives the design diagnostic data is capable of displaying an output screen related to the diagnosis of the diagnostic design based on the design diagnostic data. When the reception unit 711 receives the hearing data and design image data through operation of the input unit 4 of the management server device 1, the display unit 5 of the management server device 1 is capable of displaying an output screen based on the design diagnostic data.

[0042] The design evaluation data is data that can display the evaluation results regarding the diagnostic design on the display unit of each user terminal 2 and the display unit 5 of the management server device 1. The design commentary data is data that can display commentary comments regarding the diagnostic design as an overall review on the display unit of each user terminal 2 and the display unit 5 of the management server device 1.

[0043] The output screens that can be displayed using the design diagnostic data include multiple design evaluation screens and a design commentary screen. Each design evaluation screen is a screen that can be displayed using the design evaluation data. The design commentary screen is a screen that can be displayed using the design commentary data. The multiple design evaluation screens include individual screens that display the evaluation results for the diagnostic design for each evaluation category, and a screen that displays the evaluation results for each evaluation category together. The design commentary screen is a screen that displays commentary comments for the diagnostic design as an overall review.

[0044] Fig. 4 is an explanatory diagram showing a design evaluation screen that displays evaluation results for an evaluation category that indicates concept among multiple evaluation categories in the design evaluation data produced by the diagnostic unit 713 of Fig. 3. Fig. 5 is an explanatory diagram showing a design evaluation screen that displays evaluation results for an evaluation category that indicates visuals among multiple evaluation categories in the design evaluation data produced by the diagnostic unit 713 of Fig. 3. Fig. 6 is an explanatory diagram showing a design evaluation screen that displays evaluation results for an evaluation category that indicates content among multiple evaluation categories in the design evaluation data produced by the diagnostic unit 713 of Fig. 3. Fig. 7 is an explanatory diagram showing a design evaluation screen that displays evaluation results for an evaluation category that indicates usability among multiple evaluation categories in the design evaluation data produced by the diagnostic unit 713 of Fig. 3.

[0045] On each design evaluation screen, for the evaluation item specified by operating a mouse or other input device among the multiple evaluation items listed, a check mark is displayed on the setting level corresponding to the evaluation level of the diagnostic design out of the five setting levels displayed in advance.

[0046] 8 is an explanatory diagram showing a design evaluation screen that collectively displays the evaluation results for multiple evaluation categories in the design evaluation data generated by the diagnosis unit 713 in FIG. 3. In each evaluation category, a score is assigned to each evaluation item according to the set level. The design evaluation data includes the sum of the evaluation levels in each of the multiple evaluation categories as the total score for each evaluation category.

[0047] The design evaluation data includes data that can be displayed as diagnostic charts on a design evaluation screen that collectively displays the evaluation results for the diagnostic designs. The diagnostic charts are graphs that show the sum of the evaluation levels for each of a plurality of evaluation categories, i.e., the total points for each evaluation category, in correspondence with each evaluation category. In this embodiment, a radar chart is used as the graph that shows the total points for each evaluation category in correspondence with each evaluation category. Note that, on the design evaluation screen that collectively displays the evaluation results for the diagnostic designs, other types of graphs, tables, etc., may be used instead of radar charts to show the total points for each evaluation category in correspondence with each evaluation category.

[0048] 9 is an explanatory diagram showing a design commentary screen based on the design commentary data produced by the diagnosis unit 713 of FIG. 3. The design commentary screen displays commentary comments indicated in the design commentary data. If there is a part of the combination of multiple design elements constituting the diagnostic design that is inappropriate for the hearing data, the design commentary screen displays commentary comments suggesting improvements to the inappropriate part of the diagnostic design. Furthermore, if the combination of multiple design elements constituting the diagnostic design is appropriate for the hearing data, the design commentary screen displays commentary comments suggesting that the design expression of the diagnostic design is appropriate.

[0049] Next, the procedure for diagnosing a diagnostic design in the information processing system will be described. A user requesting diagnosis of a diagnostic design in the information processing system operates the user terminal 2 to access an input page of a website related to design diagnosis by the management server device 1. As a result, the input screen shown in Figure 2 is displayed on the display unit of the user terminal 2.

[0050] After that, the user selects, as a hearing decision item, an option that matches the target message that the user wants to convey through the diagnostic design from the multiple options for each hearing item displayed on the input screen by operating the input unit of the user terminal 2. As a result, hearing data including multiple hearing decision items is input into the user terminal 2.

[0051] Furthermore, the user reads the diagnostic design as image data by operating the input unit of the user terminal 2, and inputs the diagnostic design image data into the user terminal 2 as design image data.

[0052] Thereafter, the user registers the interview data and design image data on a website related to design diagnosis using the user terminal 2. As a result, the interview data and design image data input to the user terminal 2 are transmitted to the management server device 1.

[0053] The hearing data and design image data transmitted from the user terminal 2 to the management server device 1 are received by the design diagnosis device 7 via the communication unit 6. Thereafter, the design diagnosis device 7 produces design diagnosis data including design evaluation data and design commentary data by diagnosing the diagnostic design based on the hearing data and design image data.

[0054] When the design diagnostic data is produced by the design diagnostic device 7, the design diagnostic data is registered by the design diagnostic device 7 on an output page of a website related to design diagnosis. As a result, an output screen based on the design diagnostic data can be displayed on the display unit of the user terminal 2.

[0055] The output screen displayed on the display unit of the user terminal 2 can be switched between each of the multiple design evaluation screens shown in Figures 4 to 8 and the design commentary screen shown in Figure 9 by operating the user terminal 2. This allows the user to check the evaluation results for the diagnostic design and the commentary comments on the diagnostic design. By checking the commentary comments on the diagnostic design, the user can determine whether the diagnostic design needs to be improved and can understand the direction of correction to improve the diagnostic design.

[0056] Next, a method by which the design diagnostic device 7 produces design diagnostic data, i.e., a design diagnostic data production method, will be described. Fig. 10 is a flowchart showing a method by which the design diagnostic device 7 of Fig. 3 produces design diagnostic data. The design diagnostic data production method includes a receiving step S1, an extracting step S2, and a diagnosing step S3. In the design diagnostic data production method, the processing of the design diagnostic device 7 is executed in the order of receiving step S1, extracting step S2, and diagnosing step S3.

[0057] When the design diagnosis device 7 receives the hearing data and design image data, in reception step S1, the reception unit 711 receives the hearing data and design image data. When the reception unit 711 receives the hearing data and design image data, the hearing data and design image data are sent from the reception unit 711 to the extraction unit 712, and the processing of the design diagnosis device 7 proceeds to extraction step S2.

[0058] After receiving step S1, extraction unit 712 extracts multiple design elements constituting the diagnostic design from the design image data as extracted data in extraction step S2. Once extraction unit 712 has extracted the extracted data from the design image data, the hearing data and extracted data are sent from extraction unit 712 to diagnosis unit 713, and the processing of design diagnosis device 7 proceeds to diagnosis step S3.

[0059] After extraction step S2, in diagnosis step S3, diagnosis unit 713 produces design evaluation data and design commentary data from the hearing data and the extracted data using diagnosis model 722 stored in storage unit 72. In this way, design diagnosis data including the design evaluation data and design commentary data is produced by diagnosis unit 713.

[0060] The design diagnosis program 721 stored in the memory unit 72 is a program that causes the design diagnosis device 7 of the management server device 1, which is a computer, to execute the above-mentioned design diagnosis data production method, which has a reception step S1, an extraction step S2, and a diagnosis step S3.

[0061] In this design diagnostic device 7, the receiving unit 711 receives hearing data and design image data. The extraction unit 712 extracts multiple design elements from the design image data. The diagnosis unit 713 uses a machine-learned diagnostic model 722 to generate design diagnostic data, including design evaluation data and design commentary data, from the hearing data and the extracted data. The design evaluation data is data indicating the evaluation results for the diagnostic design. The design commentary data is data indicating commentary comments on the diagnostic design. This allows the user to understand how appropriate the diagnostic design is in relation to the target message identified from the hearing data. Furthermore, the commentary comments on the diagnostic design make it easy to determine whether the diagnostic design needs to be improved, and if so, to easily understand the direction in which to modify the diagnostic design. This allows the user to use the design diagnostic data to modify the diagnostic design, thereby supporting the efficient creation of diagnostic designs.

[0062] The design evaluation data indicates, as an evaluation result, which of a plurality of preset levels of the evaluation level of the diagnostic design is for each of a plurality of evaluation items predetermined for each of a plurality of evaluation categories. Therefore, it is possible to grasp which evaluation item has a relatively low evaluation level among the evaluation levels of the diagnostic design for each of the plurality of evaluation items. This makes it easier to grasp the direction of corrections to the diagnostic design, and more reliably supports the efficient creation of diagnostic designs.

[0063] The design evaluation data also includes data that can display a graph showing the sum of the evaluation levels of the diagnostic design in each of a plurality of evaluation categories, corresponding to each evaluation category, on the display unit of each user terminal 2 and the display unit 5 of the management server device 1. This makes it possible to determine which of the plurality of evaluation categories has a relatively low evaluation of the diagnostic design. This makes it easier to understand the direction in which the diagnostic design should be modified, and more reliably supports the efficient creation of diagnostic designs.

[0064] In this method for producing design diagnostic data, hearing data and design image data are received in a receiving step S1. In an extraction step S2, multiple design elements are extracted from the design image data. In a diagnosis step S3, design diagnostic data including design evaluation data and design commentary data is produced from the hearing data and the extracted data using a machine-learned diagnostic model 722. This makes it possible to understand the appropriateness of the diagnostic design in relation to the target message of the diagnostic design identified from the hearing data. Furthermore, commentary comments on the diagnostic design make it easy to determine whether the diagnostic design needs to be improved, and if so, to easily understand the direction for modifying the diagnostic design. This helps to improve the efficiency of design production for diagnostic designs.

[0065] Furthermore, in the design diagnostic program 721, the method for producing design diagnostic data is executed by the management server device 1 as a computer, which can support the improvement of efficiency in design production of diagnostic designs.

[0066] In the above embodiment, the points determined for each of the multiple evaluation items according to the setting level may be different for each evaluation item according to the importance of the evaluation item, or may be the same for each evaluation item.

[0067] In the above embodiment, the evaluation results indicate which of a plurality of preset levels the diagnostic design's evaluation level is for each of a plurality of evaluation items predetermined for each of a plurality of evaluation categories. However, for example, a plurality of evaluation items may be listed without distinguishing between evaluation categories.

[0068] The functions of the design diagnosis device 7 according to each of the above embodiments are realized by a processing circuit. Fig. 11 is a configuration diagram showing a first example of a processing circuit that realizes the functions of the design diagnosis device 7 according to embodiment 1. The processing circuit 100 of the first example is dedicated hardware.

[0069] Furthermore, the processing circuit 100 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof.

[0070] 12 is a configuration diagram showing a second example of a processing circuit that realizes the functions of the design diagnosis device 7 according to Embodiment 1. The processing circuit 200 of the second example includes a processor 201 and a memory 202.

[0071] In the processing circuit 200, the functions of the design diagnosis device 7 are realized by software, firmware, or a combination of software and firmware. The software and firmware are written as programs and stored in the memory 202. The processor 201 realizes the functions of the design diagnosis device 7 by reading and executing the programs stored in the memory 202.

[0072] It can also be said that the program stored in memory 202 causes a computer to execute the above-described procedure or method. Here, memory 202 refers to, for example, non-volatile or volatile semiconductor memory such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), or EEPROM (Electrically Erasable and Programmable Read Only Memory). Also included in memory 202 are magnetic disks, flexible disks, optical disks, compact disks, minidisks, DVDs, and the like.

[0073] It should be noted that the above-described functions of the design diagnosis device 7 may be partially realized by dedicated hardware and partially realized by software or firmware.

[0074] In this way, the processing circuitry can realize the above-described functions of the design diagnosis device 7 by means of hardware, software, firmware, or a combination thereof.

[0075] The configurations described in the above embodiments are merely examples of the contents of the present disclosure. The embodiments can be combined with other known technologies. Part of the configuration of the embodiments can be omitted or modified without departing from the gist of the present disclosure. [Explanation of symbols]

[0076] 7 Design diagnostic device, 711 reception unit, 712 extraction unit, 713 diagnosis unit, 721 design diagnostic program.

Claims

1. a receiving unit that receives hearing data including, as a plurality of hearing decisions, options selected for each of a plurality of hearing items, each of which includes a plurality of options selectable by a user, and design image data that is data of an image showing a diagnostic design; an extracting unit that extracts a plurality of design elements constituting the diagnostic design from the design image data as extracted data; a diagnostic unit that uses a machine-learned diagnostic model to produce design evaluation data indicating an evaluation result regarding the diagnostic design from the hearing data and the extracted data, and also produces design commentary data indicating commentary comments regarding the diagnostic design, thereby producing design diagnostic data including the design evaluation data and the design commentary data; A design diagnostic device equipped with the above.

2. 2. The design diagnosis device according to claim 1, wherein the design evaluation data is data indicating, as the evaluation result, which of a plurality of set levels the evaluation level of the diagnostic design is for each of a plurality of evaluation items predetermined for each of a plurality of evaluation categories.

3. 3. The design diagnostic device according to claim 2, wherein the design evaluation data includes data that allows a graph showing the total evaluation level of the diagnostic design in each of the plurality of evaluation categories in correspondence with each of the evaluation categories to be displayed on a display unit.

4. a receiving step of receiving hearing data including, as a plurality of hearing decisions, options selected for each of a plurality of hearing items, each of which includes a plurality of options selectable by a user, and design image data, which is data of an image showing a diagnostic design; an extraction step of extracting, after the receiving step, a plurality of design elements constituting the diagnostic design from the design image data as extracted data; a diagnostic step of producing, after the extraction step, design evaluation data showing an evaluation result regarding the diagnostic design from the hearing data and the extracted data, and design commentary data showing commentary comments regarding the diagnostic design, thereby producing design diagnostic data including the design evaluation data and the design commentary data; A method for producing design diagnostic data comprising:

5. A design diagnostic program that causes a computer to execute the design diagnostic data production method according to claim 4.

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