JP4760618B2 - Design production support device and design production support program - Google Patents

Description

  The present invention relates to a design creation support apparatus and a design creation support program that support design creation based on a target design impression, an actually created design impression, and an impression a user receives from the design.

  Designs applied to corporate marks, products, presentation materials, website pages, etc. have a great influence on the impressions (images) received by customers and users. Therefore, in the design production, it is important to accurately express the impression that the person who performs the corporate strategy, product sales strategy, information provision, etc. intends to give to the receiver (user).

  For example, in the case where the design creator is requested to design the product, as shown in FIG. 32, the client as the client determines the target impression required for the product and the presentation material (S100), The design creator produces a design that matches the impression (S102), evaluates the impression of the produced design (S104), and requests the client based on the difference between the required impression and the impression of the actual design. If a design modification is necessary, a modification is instructed. If a modification is not necessary, a final design is determined (S106).

  In such design production, many application software that supports drawing and coloring of documents such as products, presentation materials, and web pages has been developed. Many of these entrust the actual coloring to the application user, and it is difficult for a user who is unfamiliar with the design creation to accurately express the impression.

  Therefore, research is being conducted on methods for processing and document impression evaluation based on human sensitivity.

  Patent Document 1 includes a target image determination step for determining character information related to an impression as a target in design production as a target image, and a design image evaluation step for determining character information regarding an impression of the actually produced design as a design image. The image map screen in which character information about the image is assigned to each area of the display screen, the target image information in the area corresponding to the target image information in the area of the image map screen, and the area corresponding to the design image information Discloses a technique for displaying a design image in an overlapping manner.

JP 2004-102734 A

  By the way, when determining the impression that is the target of document design production and the impression received from the actual document design, whether the subject (user such as consumer) is interested in the contents of the document or not is positive about the document The impression that should be the target of the design varies depending on the situation of the subject, such as whether it is negative or negative, whether it is favorable about the document, etc., or the impression received from the actual document design may differ To do.

  As described above, since the impression held by each subject (user such as a consumer) varies, it is difficult to accurately evaluate the impression that is the target of document design production and the impression received from the actual document design.

  In view of the above-described problems of the prior art, the present invention provides a design production support apparatus and design production that can more accurately present target impression information that is a goal of design production and user impression information that represents an impression received from an actual design. The purpose is to provide support programs.

The present invention provides a clustering processing means for classifying a user who sets an impression of a document design production target into at least one of a plurality of clusters according to the characteristics of the user, and an impression for each cluster. The user from an impression expression storage unit that stores information and at least one of an option group that expresses an impression of a document for each of the impression information, and an option group included in the impression expression storage unit. selected, and choices acquisition means acquire an option that matches the impression that the goal of design creation of a document, the option selected in the option obtaining means, the weighting factor for each user who selects the option in the option obtaining means so that the total value matches sets the weighting coefficient of each option, each cluster belongs the user, before The weighting coefficients set for the options associated in the impression expression storage unit for each impression information integrated as an evaluation value, impression information indicating an impression of the evaluation value is a target of the largest impression information documentation design production And a target impression information determination means for determining as a design production support apparatus.

Such an apparatus includes a clustering processing unit that classifies a user who sets an impression to be a target of document design production into at least one of a plurality of clusters according to the characteristics of the user; Impression expression storage means for storing, in association with each other, impression information and at least one of the option groups expressing the impression of the document for each of the impression information, and options included in the impression expression storage means wherein the group user selects a choice acquisition means acquire an option that matches the impression that the goal of design creation of a document, the option selected in the option obtaining means, and selects the option in the option obtaining means users set the weighting factor for each choice as the total value of the weighting coefficient for each match, the user Each belonging to the cluster, it integrates the weighting coefficients set for the options associated in the impression expression storage unit for each of the impression information as the evaluation value, and the target of the evaluation value is greatest impression information document design production It can be realized by a design creation support program characterized by functioning as target impression information determination means for determining impression information representing an impression to be performed.

In addition, the present invention provides a clustering processing unit that classifies a user who sets a target impression of document design production into at least one of a plurality of clusters according to the characteristics of the user, and for each cluster. Impression information and at least one of a group of options for expressing an impression of a document for each of the impression information, and an impression expression storage unit that associates and stores the impression information and a group of options included in the impression expression storage unit Option acquisition means for acquiring an option that matches the impression of the document design creation selected by the user, and for each option selected by the option acquisition means, a weight for each user who selected the option by the option acquisition means The weighting coefficient of each option is set so that the total value of the coefficients matches and the option selected earlier has a higher value. For each cluster to which the user belongs, the weighting factors set for the options associated in the impression expression storage means for each impression information are integrated as evaluation values, and the impression information having the largest evaluation value is documented. And a target impression information determining means for determining as impression information representing an impression of a design creation target of the present invention.

Such an apparatus includes a clustering processing unit that classifies a user who sets an impression to be a target of document design production into at least one of a plurality of clusters according to the characteristics of the user; Impression expression storage means for storing, in association with each other, impression information and at least one of the option groups expressing the impression of the document for each of the impression information, and options included in the impression expression storage means A user who has selected an option in the option acquisition unit for the option selected by the user from the group, the option acquisition unit acquiring the option that matches the impression of the document design creation target, and the option selected by the option acquisition unit; The total values of the weighting factors for each match, so that the option selected earlier has a higher value. An optional weighting factor is set, and for each cluster to which the user belongs, the weighting factor set for the option associated in the impression expression storage means for each impression information is integrated as an evaluation value. This can be realized by a design creation support program characterized by functioning as large impression information as target impression information determination means for determining impression information representing an impression of a document design production target.

Moreover, dividing the region of the output screen into a plurality of divided screen areas, and the impression map storage means for storing the impression map assigned to each of said impression information on the divided screen each region is determined by the target impression information determining means and output means for displaying the divided screen impression information determined by the target impression information determining means in the region of the impression map impression information has been assigned, may be provided.

Further, the present invention provides a clustering processing means for classifying a user who sets an impression received from an actual document design into at least one of a plurality of clusters according to the characteristics of the user, and for each cluster. Image expression storage means for associating and storing impression information and at least one of the option groups expressing the impression of the document for each of the impression information, and the user from the option group included in the image expression storage means There were selected, and choices acquisition means acquire the suits impression received from the design of the actual document choices, for option selected in the option obtaining means, the weighting factor for each user who selects the option in the option obtaining means so that the total value matches sets the weighting coefficient of each option, click Field of the user Each static impression wherein the weighting coefficients set for the options associated in said image representation storing means for each impression information integrated as an evaluation value, receives the evaluation value is greatest impression information from the actual design of the document And a user impression information determining means for determining the impression information representing the design information.

Such an apparatus includes : clustering processing means for classifying a user who sets an impression received from an actual document design into at least one of a plurality of clusters according to the characteristics of the user; Image expression storage means for storing, in association with each other, impression information and at least one of the option groups expressing the impression of the document for each of the impression information, and the option group included in the image expression storage means from the user selected the option obtaining means get the suits impression received from the actual design of the document choices, for option selected in the option obtaining means, for each user selected an option in the option obtaining means set the weighting factor for each choice as the total value of the weighting factor coincides, before Per cluster to which the user belongs, the design of the weighting coefficients set for the options for each impression information associated in said image representation storing means accumulates as the evaluation value, actual document the evaluation value is greatest impression information It can be realized by a design creation support program characterized by functioning as user impression information determination means for determining as impression information representing an impression received from the user.

Further, the present invention provides a clustering processing means for classifying a user who sets an impression received from an actual document design into at least one of a plurality of clusters according to the characteristics of the user, and for each cluster. Image expression storage means for associating and storing impression information and at least one of the option groups expressing the impression of the document for each of the impression information, and the user from the option group included in the image expression storage means The option acquisition means for acquiring an option that matches the impression received from the actual document design selected by the user, and for the option selected by the option acquisition means, a weighting factor for each user who has selected the option by the option acquisition means Each option overlaps so that the total value matches and the earlier selected option is higher. A coefficient is set, and for each cluster to which the user belongs, the weighting coefficient set for the option associated in the image representation storage means for each impression information is integrated as an evaluation value, and the impression information having the largest evaluation value is obtained. And a user impression information determining means for determining the impression information representing the impression received from the actual document design.

Such an apparatus includes: clustering processing means for classifying a user who sets an impression received from an actual document design into at least one of a plurality of clusters according to the characteristics of the user; Image expression storage means for storing, in association with each other, impression information and at least one of the option groups expressing the impression of the document for each of the impression information, and the option group included in the image expression storage means The option acquisition unit that acquires the option that matches the impression received from the actual document design selected by the user, and the option selected by the option acquisition unit for each user who has selected the option by the option acquisition unit The sum of the weighting factors matches, and the faster the option selected, the higher the value. In this way, the weighting factor of each option is set, and for each cluster to which the user belongs, the weighting factor set for the option associated in the image representation storage unit for each impression information is integrated as an evaluation value, and the evaluation value It can be realized by a design production support program characterized by functioning as user impression information determination means for determining impression information having the largest impression information as impression information representing an impression received from an actual document design.

Moreover, dividing the region of the output screen into a plurality of divided screen areas, and the impression map storage means for storing the impression map assigned to each of said impression information on the divided screen each region is determined by the user impression information determining means an output means for displaying the impression information determined by the user impression information determining means to the split screen area of the impression map impression information has been assigned, it may be provided.

  In addition, the clustering processing unit may assign the user to one of a plurality of clusters based on at least one of a factor related to the user's personality, a factor related to the user's behavioral characteristics, and a factor related to the user's approach to products. It is preferable to classify into.

  According to the present invention, it is possible to more accurately obtain target impression information which is a design production target and user impression information indicating an impression received from an actual design.

1. Apparatus Configuration A design production support apparatus according to an embodiment of the present invention includes a management server 100, client computers 102a, 102b,... And a network 104 as shown in FIG. The management server 100 and the client computers 102a, 102b,... Are connected via the network 104 so that information can be transmitted.

  As shown in FIG. 2, the management server 100 basically includes a control unit 10, a storage unit 12, an input unit 14, an output unit 16, and a network interface unit 18.

  The control unit 10 reads and executes the clustering processing program and the design production support program (design production management program) stored in the storage unit 12. Further, data necessary for processing is fetched from the input unit 14 and the network 104 and stored in the storage unit 12. Further, when necessary for the processing, the data held in the storage unit 12 is read and used for the processing. Further, the processing result is stored again in the storage unit 12 and output to the output unit 16 or the network 104 as necessary.

  The storage unit 12 stores and holds various data such as a clustering processing program, a design creation support program, and keywords fetched from the input unit 14 or the network 104. Further, it stores and holds databases such as an impression expression database, an impression evaluation database, a design evaluation database, a design database, a user impression information database, an impression display database, and a cluster database which are necessary for processing. The contents and usage of each database will be described later. As the storage unit 12, a semiconductor memory is mainly used. For example, a storage device such as a hard disk, an optical disk, a magneto-optical disk, or a magnetic tape can also be used.

  The input unit 14 is used when a user inputs data necessary for processing. As the input unit 14, for example, a character input device such as a keyboard or a pointing device such as a mouse or a light pen can be used. Also, when reading existing presentation materials created on a recording medium such as paper as electronic data, a document reading device such as a scanner, or a voice input that can be converted into a digital signal when inputting voice, etc. An apparatus can be used.

  The output unit 16 displays an input screen that prompts input of data necessary for processing, an output screen that shows a processing result in the control unit 10, and the like. As the output unit 16, for example, a document output device such as a display or a printer can be used.

  The network interface unit 18 is used to connect the management server 100 to the network 104 so that information can be transmitted.

  The client computers 102a, 102b,... Have the same basic computer configuration as the management server 100. Also in the client computers 102a, 102b..., Information necessary for processing can be transmitted to the management server 100 and processing results in the management server 100 can be received via the network 104. In addition, a part of the process of the design creation support method described below may be executed by the client computer 102.

2. In this embodiment, as shown in step S50 of FIG. 7, the subject is classified (clustered) along the consumer model, and the document design evaluation is changed for each cluster ( to correct. First, clustering processing for clustering subjects according to a consumer model will be described. Here, the description will be made assuming that the management server 100 performs clustering processing.

  The clustering process is executed according to the flowchart shown in FIG. The client computers 102a, 102b,... Are connected to the management server 100 via the network 104 and communicate with each other, both as a design creator's terminal, a client's terminal, and a consumer's terminal. Can also work. In the following description, for the sake of convenience, the clustering processing program is stored and held in the storage unit 12 in advance, and the control unit 10 executes the clustering processing program to realize each step of the flowchart of FIG. I do.

  Note that some means of the invention according to the claims of the present application are realized by causing the computer to process each step of the clustering process.

  In this process, a plurality of consumers are clustered based on the factors (personality, behavioral characteristics, way of thinking (values), etc.).

  In step S50, the factor information and attribute information of each consumer are acquired for the product (for example, car) targeted by the document content (for example, car advertisement) acquired from the client who requested the document design production. Is done.

  As factor information, information (expectation information) indicating the expectation of the document for each consumer and information (practical information) regarding actual use of the document are acquired by a questionnaire.

  Each consumer model is clustered as shown in FIG. The consumer model is based on what kind of factor information (user such as consumer) is interested in the content of the document, positive or negative about the document, and favorable about the document. It is a model that represents whether it is classified into a cluster such as whether it is a target or not. Each consumer model defines factors and their contributions.

  In the example of FIG. 5 (a), factors relating to the personality of consumers and contributions such as independence (contribution: 70 to 90%), cooperation (contribution: 20 to 30%), etc. Factors related to behavioral characteristics and contributions, importance of information acquisition (30-40%), importance of information transmission (70-80%), etc. Degree (80 to 90%), importance of emotional value (10 to 20%), etc. are registered as modeled consumer characteristics.

  On the other hand, the factor information obtained from each consumer as an answer to the questionnaire is assumed to correspond to the factor that defines the consumer model. For example, the content is as shown in FIG. If the product is a car, personality factors include questions of independence (execute immediately as you decide), cooperation questions (comfortable to the other party), etc. Focus on information acquisition as factors related to behavioral characteristics Questions (I want to know information sooner), etc., and questions about the importance of functional value (who wants speed) as factors related to the way of thinking about products. Answers to these questions about each factor are accepted by selecting “Yes” or “No”, and factor information is obtained from each consumer.

  Although a simple example is shown here for the sake of simplicity, for example, a consumer who sets multiple subjectivity questions and answers yes to 70% of these questions is Processes such as a factor contribution factor of 70% are performed. The same applies to other factors.

  As attribute information, the sex, age, family structure, etc. of each consumer are acquired by a questionnaire. Such attribute information can also be acquired by a method for causing the consumer to answer a questionnaire.

  In step S52, each consumer is classified into a cluster according to a preset consumer model. As described above, each consumer model is set for each cluster with respect to the target of the document content (for example, a car).

  The control unit 10 analyzes and processes the factor information acquired in step S50, and factor contribution degree (information contribution importance degree contribution degree related to behavior characteristics such as factor contribution degree and cooperative contribution degree of subjectivity relating to personality) for each consumer. And the degree of contribution to the individual, the degree of contribution to the functional value and the degree of contribution to the degree of self-expression are calculated.

  Based on these factor contributions, each consumer is classified into a corresponding cluster in a consumer model preset for each product. In addition, when performing the clustering process, the attribute information of each consumer may be used as additional information.

  That is, by specifying a consumer model, information indicating characteristics of each consumer who will belong to the consumer model can be specified, and consumers with common hobbies, preferences, etc. based on these characteristics can be identified. Can be classified as a cluster.

  As shown in FIG. 6, the clustered information on each consumer (user) includes a user ID for identifying each consumer (user) and a cluster ID for identifying the cluster of the consumer (user). The associated cluster database is registered in the storage unit 12.

3. Design Production Support Method The design production support method in the present embodiment will be described in detail below with reference to FIG. Each means in the invention according to the claims of the present application is realized by causing each process of the following design production support method to be processed by a computer.

  Here, the evaluation of the design is performed by the user who is the target of the clustering process. The system is also created by the person who produces the design (design creator), the person who requests the design creator to create the design (client), and the person who receives the created design (consumer, consumer). You can become a user. The person who performs the design evaluation may be a single person or a plurality of persons.

  Client computers 102a, 102b,... Are connected to and communicate with the management server 100 via the network 104, respectively, and can function both as a design creator's terminal and as a client's terminal. In the following description, for the sake of convenience, it is assumed that the operator performs processing using the management server 100.

  As shown in FIG. 7, the design creation support method includes a target impression determination process in step S10, a design impression evaluation process in step S20, a user impression acquisition process in step S30, and an impression presentation process in step S40.

  Each of these steps is realized by storing and holding a computer-processable design production support program in the storage unit 12 of the management server 100 and executing the program by the management server 100.

  When the processing of the program is started, in step S0, as shown in FIG. 8, the control unit 10 displays the main menu screen 1000 on the output unit 16, and prompts the operator to select a desired process. Here, on the main menu screen 1000, the mouse pointer 5 is displayed, and the execution of each process is started by clicking a screen position indicating a desired process.

  Further, the main menu screen 1000 is provided with a box 15 for inputting an identification number of a design to be produced, and the database to be processed in the following processing is the number input in this box 15. Will be identified.

  For example, by inputting “9” as the identification number in the box 15, moving the mouse pointer 5 to the position where the target impression determination button 20 is displayed and clicking the mouse, the design identification number becomes 9, The process proceeds to the target impression determination step of S10. Similarly, the design impression evaluation button 22, the user impression acquisition button 24, and the impression presentation button 26 are respectively used when the process is shifted to the design impression evaluation process in step S 20, the user impression acquisition process in step S 30, and the impression presentation process in step S 40. The process can be shifted by moving the mouse pointer 5 to the displayed position and clicking the mouse.

3-1. Target Impression Determination Process In the target impression determination process in step S10, information (hereinafter referred to as target impression information) related to the impression required for the design to be produced is determined. The target impression determination step is processed according to the flowchart shown in FIG.

  First, in step S10a, the control unit 10 causes the output unit 16 to display a target impression input screen 1002. As shown in FIG. 10, the target impression input screen 1002 presents a plurality of information (options) that expresses the impression of the design, and selects information (options) that matches the impression that is the target of design production from the client. It is something to be made.

  Here, the information (options) that expresses the impression of the design includes character information consisting of adjectives that express the impression of the design, a color patch group that represents a single color, and a color palette that combines multiple colors. It is preferable to select and use color information consisting of groups, image information consisting of groups of abstract pictures that abstractly express design impressions, etc. according to the object of design production. These pieces of information can be appropriately read and used by storing them in the storage unit 12 in advance as an impression expression database.

  In the present embodiment, first, an impression of a document is acquired from a user using the impression expression database of FIG. The impression expression database includes adjective expressions covering the entire impression map as shown in FIG. Here, the impression map is obtained by dividing the display screen into a plurality of areas and assigning each area as an area indicating the impression of the document. A coordinate axis is provided in the impression map, and an adjective representing the impression is assigned so that the impression changes with a predetermined tendency along the coordinate axis. For example, in the example of FIG. 12, the X coordinate indicating the warmth of the design from “warm” to “cold” and the Y coordinate indicating the hardness of the design from “soft” to “hard”. Coordinates are provided, and adjectives representing impressions are assigned along with changes in each impression. Note that the method of assigning information to the impression map is not limited to this, and it is preferable to change the setting of the coordinate axes according to the type of the target design.

  Here, as shown in FIG. 10, a target impression input screen 1002 on which adjectives read from the impression expression database are listed and displayed is displayed on the output unit 16.

  In step S10b, the client uses the input unit 14 to select information according to the impression required for the design. In this embodiment, a plurality of clients are made to select and input adjectives that match the impression that should be the goal of design production.

  The user (subject) who becomes the operator inputs the number assigned to each adjective in the adjective entry field displayed on the target impression input screen 1002. This selects an adjective that matches the impression that the user should aim. Further, the user who becomes the subject of evaluation inputs the user ID assigned to each user in the clustering process in the user ID input box of the target impression input screen 1002. Thereby, the user ID for specifying the user who has selected the adjective is acquired. The selected adjectives and their selection order are stored in the storage unit 12 in association with the user ID.

  In the present embodiment, by repeating this process for each user, options indicating impressions that a plurality of users consider to be a design production target are sequentially acquired. For example, when trying to determine a target impression when creating a corporate color design of a company, a plurality of officers in the company are allowed to select an adjective that matches the corporate color impression of the company.

  Note that the method for selecting the information expressing the impression is not limited to this, and other methods may be used as long as the user can input easily.

  Next, in step S10c, target impression information in document design production is determined based on the option (adjective) selected in step S10b.

  For each option selected by each user, a weighting factor for each option is determined. In the present embodiment, the weight coefficient of the option selected for each user is determined according to the total number of options selected by each user. Specifically, as shown in FIG. 13, the value obtained by dividing the total value by the total number Ntotal of the selected adjectives so that the sum of the weighting coefficients of the selected adjectives for each user becomes equal is used. And For example, since there are 10 adjectives selected for the subject A, in order to set the sum of the weighting coefficients to 1, the weighting coefficient of each adjective is 1/10 = 0.1. For subject B, since there are five selected adjectives, the weight coefficient of each adjective is 1/5 = 0.2.

  Next, the weighting factors determined for each user belonging to the same cluster for each adjective are added together to calculate the cumulative value of the weighting factors for each impression information for each cluster.

  Next, the control unit 10 first calculates the cumulative value of the adjective weighting factor associated with each impression information for each user who has selected an adjective in step S10b. Next, the control unit 10 reads out the user ID of the user who selected the adjective in step S10b, refers to the cluster database registered in the storage unit 12, and refers to the cluster ID associated with the user ID. To extract. Then, referring to the impression evaluation database registered for each cluster as shown in FIG. 14, the adjective weighting factors assigned to each impression information are added together. Thereby, the integrated value of the weighting coefficient for each impression information for each user is calculated. This process is performed for each user who has selected an adjective in step S10b. Next, for each cluster, the integrated value of the weight coefficient for each impression information of all users belonging to the cluster is added for each impression information, and the cumulative value of the weight coefficient for each impression information is calculated for each cluster.

  Here, the impression information is information representing the impression of the design that can be assigned on the impression map in the same manner as the adjectives registered in the impression expression database, but represents a broader concept than the adjectives etc. Preferably. That is, the impression information represents a broad concept that spans multiple options.

  For example, in the example of the impression evaluation database in FIG. 14, when the cluster ID is C1, the adjectives “friendly” and “cute” are registered in association with the impression information “casual”. For the user whose C is C1, a value obtained by adding together the weight coefficient of the adjective “friendly” and the weight coefficient of the adjective “cute” is calculated as an integrated value for the impression information “casual”. Similarly, when the cluster ID is C2, the adjectives “fascinating” and “cute” are registered in association with the impression information “casual”. A value obtained by adding the weight coefficient of the adjective “fascinating” and the weight coefficient of the adjective “cute” is calculated as an integrated value for the impression information “casual”. In this way, for other users, the integrated value of the weighting coefficient for each impression information is calculated in consideration of which cluster the user belongs to. Then, the integrated value for each impression information calculated for each user belonging to each cluster is added for each impression information to derive the cumulative value of the weighting coefficient for each impression information for each cluster.

  Based on the accumulated value thus calculated, the impression information having the highest accumulated value is set as the target impression information for each cluster. The target impression information obtained for each cluster is stored and held in the storage unit 12 in association with the cluster ID. When the target impression information setting process ends, the process returns to step 0.

<Modification>
The method for determining the target impression information is not limited to the method of the above embodiment. In the present modification, a method for determining target impression information by changing the weighting based on the selection order of options (adjectives) will be described. The processing in this modification is basically performed according to the flowchart shown in FIG. 9, but the processing in step S10c is different.

  For each option selected by each user, a weighting factor for each option is determined. In the present embodiment, the weight coefficient of the option selected for each user is determined according to the selection order of the options selected by each user. Specifically, as shown in FIG. 15, the sum of the weighting coefficients of the adjectives selected for each user is equal (for example, the sum value is 1), and the adjective selected earlier has a higher weighting coefficient. Thus, the weight coefficient of each adjective is determined.

  For example, the weighting factor An of the nth selected adjective may be An = ((total number of selected adjectives Ntotal + 1) −n) / Σn. In FIG. 15, since subject A has selected 10 adjectives (options), Ntotal = 10, and for the first selected “romantic”, n = 1 and weighting factor A1 = ((10 + 1) − 1) /55≈0.180, and for the second “friendlyness” selected, n = 2 and weight coefficient A2 = ((10 + 1) −2) /55≈0.164. Hereinafter, the weighting coefficient is similarly calculated for the adjectives selected after the third.

  Thus, the processing after the weighting coefficient for each adjective selected by each user is calculated is performed in the same manner as in the above embodiment.

  In the above-described embodiment and modification, an adjective that is character information is used as an option representing an impression of a document, but the present invention is not limited to this. As described above, color information and image information may be used as options. Similar to the method using adjectives, color information and image information are allocated on the impression map, and the color information and image information selected by the user as an impression that should be the target of document design production are displayed on the impression map. Target impression information can be determined based on the distribution.

3-2. Design Impression Evaluation Process When the design impression evaluation button 22 is clicked in step S0, the process proceeds to the design impression evaluation process in step S20.

  In the design impression evaluation process in step S20, information about the design impression of the document (hereinafter referred to as design impression information) is extracted. The design impression evaluation process is processed according to the flowchart of FIG.

  First, in step S20a, actual document data is captured, stored in the storage unit 12, and held. As shown in FIG. 17, the control unit 10 displays a design capture screen 1004 on the output unit 16 and prompts the design creator to input a document related to the design to be evaluated.

  For example, the design creator designs a web page and uploads it on the network 104 in advance. Next, the URL of the web page is input to the URL input box 30 of the design capture screen 1004, the mouse pointer 5 displayed on the design capture screen 1004 is moved to the web design capture button 32, and the mouse is moved. Click to specify the acquisition destination of the web page for design impression evaluation. When receiving the designation, the control unit 10 takes in the document data of the web page from the designated URL via the network 104. As shown in FIG. 18, the fetched document data is sequentially stored in the storage unit 12 as a design database in association with document data identification information (for example, URL).

  If a design database has not yet been generated for the design identification number, a new design database is generated in association with the design identification number. On the other hand, when a design database for the design identification number already exists, document data identification information and document data are additionally stored in the existing design database.

  Further, not only the produced web pages but also the URLs of the web pages of competitors, for example, can be specified and the document data of those web pages can be taken in and evaluated.

  In addition, when the object of design production is a presentation material, a new product, a brand logo of a company, or the like, it is also preferable to capture document data using a reading device such as a scanner. In this case, it is preferable to activate the existing document reading tool by clicking the document import button 34 on the design capture screen 1004.

  In the following description, it is assumed that the document of the web page in FIG. 19 is taken as an example.

  In step S20b, the impression given to the human by the captured document data is evaluated. The existing evaluation means such as Japanese Patent Application No. 2002-187522 can be used for the impression evaluation of the design.

  That is, the control unit 10 reads the image data of the document to be evaluated from the storage unit 12 and divides the area as shown in FIG. An existing image area dividing tool can be used for the area division. Next, physical features such as area, position, size, color average, and color difference from other regions are extracted for each divided region.

Here, for each region, it is preferable to extract a visual feature after converting from the RGB color space to the L ^* a ^* b ^* color space. In general, document data used in a computer is often expressed in an RGB color space, which is a non-uniform color space, and cannot be analyzed close to the human sense. Therefore, by converting the RGB color space, which is a non-uniform color space, to the L ^* a ^* b ^* color space, which is a uniform color space, it is possible to analyze and evaluate as an impression closer to human sensitivity. The L ^* a ^* b ^* space is also preferable because it can express the dynamic range of the document. Of course, if the document data is already expressed in the L ^* a ^* b ^* color space, no conversion is necessary.

In addition, the physical feature amount includes the area of the target area, the width w and the height h of the target area, the upper left position x, y, the color average of the entire target area, the average value of the L ^* component, and the a ^* component mean value, b ^* average of components, the entire document color average and the color of the entire target region mean color difference ΔL * ^a * ^{b *,} color differences color average of a region close to the target region Δ _n L ^* a ^* b ^* , A color average color difference Δ _b L ^* a ^* b ^* between the background and the region of interest, such as color dispersion in the region of interest, the number of the same color, and the like. The average color may be extracted from the background area of the document data, the main area having the largest area excluding the background area, and the accent area that is an accent for the main area, and may be used as the feature amount.

  On the other hand, design impression information is associated with a combination of physical features and stored in the storage unit 12 as a design evaluation database. For example, as shown in FIG. 20, a set of a background area, a main area having the largest area excluding the background area, and a color of each area of the accent area that is an accent to the main area (indicated by hatching in the figure) Then, impression information representing an impression received by a human from the set of colors is associated and stored. The impression information is the same as the impression information registered in the impression evaluation database in FIG.

  Based on the design evaluation database, an average color can be extracted from the background area, main area, and accent area of actual document data, and design impression information can be determined from the combination of the average colors. The extracted design impression information is stored and held in the storage unit 12 as a design database in association with the document data identification number and the document data to be evaluated as shown in FIG.

  For example, when the average color is extracted from each of the background area 36, the main area 37, and the accent area 38 of the document data in FIG. 19, the design impression information “natural” can be obtained based on the design evaluation database in FIG. it can.

Note that the feature quantities that can be used to extract information about impressions are area size, area width w and height h, upper left positions x and y, color average of the entire area, and average value of L ^* components. , a ^* average component, b ^* average component, color difference [delta] L * ^a * ^b color average over the overall color average interest area ^*, color differences color average of a region close to the target region delta _n L ^{* A *} b ^* , color average difference Δ _b L ^* a ^* b ^* between the background and the target area, color dispersion in the target area, and the same number of colors may be used.

  Further, a multidimensional design evaluation database in which conditions combining these feature amounts and impression information related to the impression of a document may be used. In this way, by combining as many feature quantities as possible, the impression that the document gives to humans can be made more detailed. In particular, by using conditions that include differences in feature quantities between different document areas, such as color differences between document areas, impression information representing impressions received from places with strong contrast in the evaluated document is extracted. Is also possible.

  It is also preferable to use the physical feature value itself obtained from the document data as design impression information. For example, the combination of the average colors of the background area, the main area, and the accent area of the document data may be used as the design impression information as a color palette.

  When the design impression is selected, the design impression evaluation process is terminated, and the control unit 10 returns the control to step S0. In the present embodiment, the document is divided into a plurality of areas for processing, but the entire document may be processed.

3-3. User Impression Acquisition Process When the user impression acquisition button 24 is clicked in step S0, the process proceeds to the user impression acquisition process in step S30.

  In the user impression acquisition process in step S30, an impression (hereinafter referred to as user impression information) that the user receives from the document data captured in step S20 is determined. The user impression acquisition process is processed according to the flowchart shown in FIG.

  First, in step S30a, the control unit 10 causes the output unit 16 to display a document data selection screen 1006, and prompts the user to select document data as an impression acquisition target from among the document data captured in step S20.

  As shown in FIG. 22, the document data selection screen 1006 lists and displays information related to document data held in the design database of the storage unit 12 on the screen, and acquires user impression information for any document data. It is preferable to select one of these. However, the form of the document data selection screen 1006 is not limited to this, and it is sufficient that the document data held in the design database can be selected.

  A user who inputs an impression of document data moves the mouse pointer 5 to a check box 40 provided for each piece of information related to document data (image data) on the document data selection screen 1006 using the input unit 14 such as a mouse. Select information by clicking the mouse. Next, the selection of document data is determined by moving the mouse pointer 5 to the selection determination button 42 and clicking the mouse.

  In step S30b, the control unit 10 displays a user impression input screen 1008 on the output unit 16, and prompts the user to input an impression received by viewing the document data. As shown in FIG. 23, the user impression input screen 1008 is divided into an area 43 for displaying the contents of the selected document data and an area 44 for listing and displaying information (options) expressing design impressions.

  The control unit 10 reads out the document data selected in step S30a from the design database held in the storage unit 12, and forms and displays the document data in the document data display area 43. For example, when document data of a web page is selected, as shown in FIG. 23, the URL of the document data is read from the design database, and the document data is fetched from the URL and displayed on the display.

  Further, the control unit 10 reads out information (options) expressing the impression of the design from the impression expression database held in the storage unit 12 and displays the information in the impression expression display area 44. The information (option) for expressing the impression included in the impression expression database is composed of a plurality of adjectives expressing the impression of the design, a color patch composed of a single color, and a set of colors, as in the target impression determination step of Step S10. It is preferable to appropriately select and use the color information including the color palette, the abstract image group that abstractly expresses the design impression, and the like according to the type of the document data.

  In the present embodiment, character information consisting of a plurality of adjective groups is read from the impression expression database of FIG. 11 and displayed in the impression expression display area 44.

  Next, in step S <b> 30 c, the user uses the input unit 14 to select information that matches the impression felt when viewing the design of the document displayed in the document data display area 43.

  For example, as shown in FIG. 23, the mouse pointer 5 is displayed in the impression expression display area 44 in which adjectives are listed, and the user uses the mouse to check boxes 46 provided for adjectives that match the impression received from the design. The mouse pointer 5 is moved to and selected by clicking the mouse. A check mark is displayed in the selected check box 46. The adjective display can be changed as appropriate by moving the mouse pointer 5 on the scroll button 48 and clicking the mouse. In addition, the user who is the subject of evaluation inputs the user ID assigned to each user in the clustering process in the user ID input box of the user impression input screen 1008. Thereby, the user ID for specifying the user who has selected the adjective is acquired. The selected adjective is stored in the storage unit 12 in association with the user ID. When the selection of the adjectives is completed, the selected adjectives and the selection order are stored in the storage unit 12 in association with the user ID by moving the mouse pointer 5 to the position of the decision button 47 and clicking the mouse.

  When a plurality of users (subjects) are allowed to select an option, the above process is repeated for each user (subject), whereby options indicating impressions received by the plurality of users from the actual design are sequentially acquired. Note that the method for selecting the information expressing the impression is not limited to this, and any method may be used as long as the user can easily input an impression of the document design.

  In step S30d, user impression information representing the impression of the actual document design is determined based on the information selected in step S30c. Similar to the target impression information, the user impression information is determined based on the frequency of adjectives selected by a plurality of users.

  Similar to the above-described target impression information determination process, the weight coefficient of each option is determined for the option selected by each user. In the present embodiment, the weight coefficient of the option selected for each user is determined according to the total number of options selected by each user. Specifically, as shown in FIG. 13, the value obtained by dividing the total value by the total number Ntotal of the selected adjectives so that the sum of the weighting coefficients of the selected adjectives for each user becomes equal is used. And For example, since there are 10 adjectives selected for the subject A, in order to set the sum of the weighting coefficients to 1, the weighting coefficient of each adjective is 1/10 = 0.1. For subject B, since there are five selected adjectives, the weight coefficient of each adjective is 1/5 = 0.2.

  Next, the weighting factors determined for each user belonging to the same cluster for each adjective are added together to calculate the cumulative value of the weighting factors for each impression information for each cluster. First, the control unit 10 calculates the cumulative value of the adjective weighting coefficient associated with each impression information for each user who has selected an adjective in step S30c.

  Next, the control unit 10 reads out the user ID of the user who selected the adjective in step S30c, refers to the cluster database registered in the storage unit 12, and refers to the cluster ID associated with the user ID. To extract. Then, referring to the impression evaluation database registered for each cluster as shown in FIG. 14, the adjective weighting factors assigned to each impression information are added together. Thereby, the integrated value of the weighting coefficient for each impression information for each user is calculated. This process is performed for each user who has selected an adjective in step S30c. Next, for each cluster, the integrated value of the weight coefficient for each impression information of all users belonging to the cluster is added for each impression information, and the cumulative value of the weight coefficient for each impression information is calculated for each cluster. The process here is the same as the process for determining the target impression information.

  Based on the accumulated value thus calculated, impression information having the highest accumulated value is set as user impression information for each cluster. The user impression information obtained for each cluster is stored and held in the storage unit 12 in association with the cluster ID. When the user impression information setting process ends, the process returns to step 0.

<Modification>
The method of determining user impression information is not limited to the method of the above embodiment. In this modification, a method for determining user impression information by changing the weighting based on the selection order of choices (adjectives) will be described, as in the modification of the target impression information determination process. The processing in this modification is basically performed according to the flowchart shown in FIG. 21, but the processing in step S30d is different.

  For each option selected by each user, a weighting factor for each option is determined. In the present embodiment, the weight coefficient of the option selected for each user is determined according to the selection order of the options selected by each user. Specifically, as shown in FIG. 15, the sum of the weighting coefficients of the adjectives selected for each user is equal (for example, the sum value is 1), and the adjective selected earlier has a higher weighting coefficient. Thus, the weight coefficient of each adjective is determined.

  Thus, the processing after the weighting coefficient for each adjective selected by each user is calculated is performed in the same manner as in the above embodiment.

  In the above-described embodiment and modification, an adjective that is character information is used as an option representing an impression of a document, but the present invention is not limited to this. As described above, color information and image information may be used as options. Similar to the method using adjectives, color information and image information are allocated on the impression map, and the color information and image information selected by the user as an impression that should be the target of document design production are displayed on the impression map. User impression information can be determined based on the distribution.

3-4. Impression Presentation When the impression presentation button 26 is clicked in step S0, the process proceeds to the impression presentation in step S40.

  The impression presentation process in step S40 is executed according to the flowchart shown in FIG. 24, and displays the target impression information obtained in step S10, the design impression information obtained in step S20, and the user impression information obtained in step S30.

  First, in step S40a, the control unit 10 displays the display selection screen 1010 on the output unit 16, and allows the operator to select which information is to be displayed. On the display selection screen 1010, as shown in FIG. 25, the identification number of the design to be displayed is input to the input box. Further, by selecting the check box 50 and clicking the decision button 52, information to be displayed is selected from the target impression information, the design impression information, and the user impression information.

  Next, the control unit 10 that has received input of information to be displayed displays target impression information, design impression information, or user impression information on the impression map screen 1012 in step S40b.

  The impression map screen 1012 is divided into a plurality of areas as shown in FIG. 26, and an area identification number is assigned to each area. On the other hand, as shown in FIG. 27, the storage unit 12 stores impression information registered in the impression evaluation database for each region identification number in association with each other as an impression display database.

  The control unit 10 extracts a region identification number associated with the target impression information, the design impression information, or the user impression information by referring to the impression display database. And each information corresponding to the area | region on the impression map screen 1012 to which the extracted area | region identification number was provided is displayed.

  It is preferable to assign an area identification number to the impression map screen 1012 so that the impression changes with a predetermined tendency along each coordinate axis. For example, in the example of the impression map screen 1012 shown in FIG. 26, the X coordinate indicating the warmth of the design from “warm” to “cold” and the Y coordinate indicating the hardness of the design from “soft” to “hard”. And two orthogonal coordinates are provided, and information representing the impression is assigned along the change in the impression. Note that the method of assigning information on the impression map screen 1012 is not limited to this, and it is preferable to change the setting of the coordinate axes according to the type of the target design.

  When the target impression information is selected in step S40a, the target impression information is displayed superimposed on the impression map screen 1012. The target impression information associated with the design identification number designated in step S40b is read from the storage unit 12 for each cluster. Next, referring to the impression display database, the region identification number associated with the read target impression information for each cluster is extracted. Then, as shown in FIG. 28, the target impression information is displayed for each cluster in the area to which each area identification number is assigned on the impression map screen 1012. FIG. 28 shows an example in which target impression information for three clusters is displayed.

  The target impression information displayed on the impression map screen 1012 is appropriate in consideration of the tendency of the impression that is the target of design production obtained from a plurality of users (subjects). In addition, because target impression information is presented for each cluster, users (subjects = consumers) belonging to each cluster visually compare what impression they want to create a design for. It becomes easy to grasp while.

  When design impression information is selected in step S40a, the design impression information is displayed superimposed on the impression map screen 1012 as shown in FIG. The design impression information associated with the design identification number designated in step S40b is read from the design database stored in the storage unit 12. Next, referring to the impression display database, the region identification number associated with the read design impression information is extracted. Then, as shown in FIG. 29, design impression information is displayed in an area to which each area identification number is assigned on the impression map image 1012.

  At this time, it is preferable to facilitate identification of the displayed information by changing the display color of the information for each document data included in the design database. It is also preferable to display the design of the corresponding document itself instead of each design impression information or together with each design impression information.

  When user impression information is selected in step S40a, the user impression information is displayed superimposed on the impression map screen 1012. The user impression information associated with the design identification number designated in step S40b is read from the user impression information database in the storage unit 12 for each cluster. Next, referring to the impression display database, an area identification number associated with the read user impression information for each cluster is extracted. Then, as shown in FIG. 30, user impression information for each cluster is displayed in an area to which each area identification number is assigned on the impression map screen 1012. At this time, it is preferable to facilitate identification of the displayed information by changing the display color of the information for each document data included in the user impression information database.

  The user impression information displayed on the impression map screen 1012 is appropriate in consideration of the impression tendency of the actual design obtained from a plurality of users (subjects). In addition, user impression information is presented for each cluster, so users (subjects = consumers) belonging to each cluster visually compare what the impressions look like when they look at the actual document design. It becomes easy to grasp while.

  Further, when both the target impression information and the design impression information are selected in step S40a, both the target impression information and the design impression information associated with the design identification number are superimposed on the impression map screen 1012 as shown in FIG. Displayed together. Similarly, when both the target impression information and the user impression information are selected, when both the design impression information and the user impression information are selected, or all of the target impression information, the design impression information, and the user impression information are selected. In this case, each piece of information is superimposed on the impression map screen 1012 and displayed.

  In this way, by displaying the target impression information, design impression information, and user impression information superimposed on one impression map screen 1012, the design creator, the client, and the user can make impressions that are the target of design production, actual The impression that the design has and the impression that the user receives from the actual design can be confirmed by visual comparison. At this time, since each piece of information is displayed on the impression map screen 1012 along the coordinate axis indicating the impression tendency, how much the target impression, the impression of the actual design, and the impression received by the user differ. It is possible to clearly grasp the tendency of the difference.

  Furthermore, in step S20, by obtaining design impression information for the design of other companies' web pages and other products, it is possible to compare and confirm these information and target impression information. Thereby, it becomes easy to grasp the coincidence or difference between the impressions of other companies' web pages and other products and the target impression of the design to be produced.

  Note that color information extracted as target impression information, design impression information, and user impression information may be presented by assigning color information such as a color patch or a color palette to each area on the impression map screen 1012. Alternatively, abstract images may be assigned to each area on the impression map screen 1012, and abstract images extracted as target impression information, design impression information, and user impression information may be presented.

  That is, according to the present embodiment, it is possible to confirm on the same impression map screen the impression that is the target of design production, the impression that the actual design has, and the match or difference of the impression that the user receives from the actual design. .

  As a result, the client and the design creator can visually grasp the suitability of the target impression setting for the design production. In particular, by evaluating the impression that is the goal of document design production by target impression information for each cluster to which a user belongs and the impression received from the actual document design by user impression information for each cluster to which the user belongs Can be evaluated.

It is a block diagram of the whole structure of the design production assistance apparatus in embodiment of this invention. It is a block diagram of the structure of the management server in embodiment of this invention. It is a flowchart of the clustering process in embodiment of this invention. It is a figure which shows the example of the cluster of the clustering process in embodiment of this invention. It is a figure which shows the example of the questionnaire for modeling and the example of a consumer model in embodiment of this invention. It is a figure which shows the example of the cluster database in embodiment of this invention. It is a main flowchart of the design production support method in the embodiment of the present invention. It is a figure which shows the main menu screen in embodiment of this invention. It is a flowchart of the target impression determination process in the embodiment of the present invention. It is a figure which shows the target impression input screen in embodiment of this invention. It is a figure which shows the impression expression database in embodiment of this invention. It is a figure which shows the impression map in embodiment of this invention. It is a figure explaining the determination process of the target impression information in embodiment of this invention. It is a figure which shows the example of registration of the impression evaluation database in embodiment of this invention. It is a figure explaining the determination process of the target impression information in embodiment of this invention. It is a flowchart of the design impression evaluation process in embodiment of this invention. It is a figure which shows the design impression evaluation screen in embodiment of this invention. It is a figure which shows the design database in embodiment of this invention. It is a figure which shows the example of the web page in embodiment of this invention. It is a figure which shows the design evaluation database in embodiment of this invention. It is a figure which shows the flowchart of the user impression acquisition process in embodiment of this invention. It is a figure which shows the document data selection screen in embodiment of this invention. It is a figure which shows the user impression input screen in embodiment of this invention. It is a figure which shows the flowchart of the impression presentation process in embodiment of this invention. It is a figure which shows the display selection screen in embodiment of this invention. It is a figure which shows the impression map screen in embodiment of this invention. It is a figure which shows the database for impression displays in embodiment of this invention. It is a figure which shows the impression map screen which superimposed and displayed the target impression information. It is a figure which shows the impression map screen which displayed design impression information superimposed. It is a figure which shows the impression map screen which displayed and superimposed user impression information. It is a figure which shows the impression map screen which superimposed and displayed target impression information and design impression information. It is a figure which shows the flowchart of design production.

Explanation of symbols

  5 mouse pointer, 10 control unit, 12 storage unit, 14 input unit, 15 input box, 16 output unit, 18 network interface unit, 20 target impression determination button, 22 design impression evaluation button, 24 user impression acquisition button, 26 impression presentation Button, 30 Input box, 32 Web design import button, 34 Document import button, 36 Background area, 37 Main area, 38 Accent area, 40 Check box, 42 Selection decision button, 43 Document data display area, 44 Impression expression display Area, 46 Check box, 47 Enter button, 48 Scroll button, 50 Check box, 52 Enter button, 54 Input box, 60 Impression information display area, 62a X coordinate axis, 62b Y coordinate axis, 100 Management Server, 102a, 102b, 102c client computer, 104 network, 1000 main menu screen, 1002 target impression input screen, 1004 design impression evaluation screen, 1006 document data selection screen, 1008 user impression input screen, 1010 display selection screen, 1012 impression map screen.

Claims (11)

Clustering processing means for classifying a user who sets an impression of a document design production target into at least one of a plurality of clusters according to the characteristics of the user;
Impression expression storage means for storing, in association with each other, impression information and at least one of a group of options expressing the impression of a document for each of the impression information;
Wherein said user from a selection group included in the impression expression storage means is selected, and choices acquisition means acquire an option that matches the impression that the goal of design creation of a document,
For the options selected by the option acquisition means, set the weight coefficient of each option so that the total value of the weight coefficients for each user who selected the option in the option acquisition means matches,
For each cluster to which the user belongs, the weighting factors set for the options associated in the impression expression storage means for each impression information are integrated as an evaluation value, and the impression information having the largest evaluation value is created as a document design. Target impression information determining means for determining impression information representing the target impression of
Design production support device characterized by including. Clustering processing means for classifying a user who sets an impression of a document design production target into at least one of a plurality of clusters according to the characteristics of the user;
Impression expression storage means for storing, in association with each other, impression information and at least one of a group of options expressing the impression of a document for each of the impression information;
Option acquisition means for acquiring an option that matches the impression of a document design production selected by the user from the option group included in the impression expression storage means;
For the options selected by the option acquisition unit, the total value of the weight coefficients for each user who selected the option by the option acquisition unit matches, and the weight coefficient of each option is set so that the option selected earlier has a higher value. Set,
For each cluster to which the user belongs, the weighting factors set for the options associated in the impression expression storage means for each impression information are integrated as an evaluation value, and the impression information having the largest evaluation value is created as a document design. Target impression information determining means for determining impression information representing the target impression of
Design production support device characterized by including. The design production support apparatus according to claim 1 or 2 ,
And impressive map storage means for dividing a region of the output screen into a plurality of divided screen areas, stores the impression map assigned to each of said impression information on the divided screen each region,
Output means for displaying the impression information determined by the target impression information determination means in the divided screen area of the impression map to which the impression information determined by the target impression information determination means is assigned ;
Design production support apparatus characterized by comprising. Clustering processing means for classifying a user who sets an impression received from an actual document design into at least one of a plurality of clusters according to the characteristics of the user;
Image expression storage means for storing, in association with each cluster, impression information and at least one of a group of options expressing the impression of a document for each of the impression information;
Wherein said user from a selection group included in the image representation storing means is selected, and choices acquisition means acquire the suits impression received from the actual design of the document choices,
For the options selected by the option acquisition means, set the weight coefficient of each option so that the total value of the weight coefficients for each user who selected the option in the option acquisition means matches,
For each cluster to which the user belongs, the weighting factors set for the options associated in the image representation storage means for each impression information are integrated as an evaluation value, and the impression information having the largest evaluation value is added to the actual document. User impression information determining means for determining impression information representing an impression received from a design;
Design production support device characterized by including. Clustering processing means for classifying a user who sets an impression received from an actual document design into at least one of a plurality of clusters according to the characteristics of the user;
Image expression storage means for storing, in association with each cluster, impression information and at least one of a group of options expressing the impression of a document for each of the impression information;
Option acquisition means for acquiring an option that matches the impression received from the design of the actual document selected by the user from the option group included in the image expression storage means;
For the options selected by the option acquisition unit, the total value of the weight coefficients for each user who selected the option by the option acquisition unit matches, and the weight coefficient of each option is set so that the option selected earlier has a higher value. Set,
For each cluster to which the user belongs, the weighting factors set for the options associated in the image representation storage means for each impression information are integrated as an evaluation value, and the impression information having the largest evaluation value is added to the actual document. User impression information determining means for determining impression information representing an impression received from a design;
Design production support device characterized by including. The design production support device according to claim 4 or 5 ,
And impressive map storage means for dividing a region of the output screen into a plurality of divided screen areas, stores the impression map assigned to each of said impression information on the divided screen each region,
Output means for displaying the impression information determined by the user impression information determination means in the divided screen area of the impression map to which the impression information determined by the user impression information determination means is assigned ;
Design production support apparatus characterized by comprising. The design production support apparatus according to any one of claims 1 to 6 ,
The clustering processing unit classifies the user into one of a plurality of clusters based on at least one of a factor relating to the user's personality, a factor relating to the user's behavioral characteristics, and a factor relating to the user's approach to merchandise. Design production support device characterized by doing. Computer
Clustering processing means for classifying a user who sets an impression of a document design production target into at least one of a plurality of clusters according to the characteristics of the user;
Impression expression storage means for storing, in association with each other, impression information and at least one of a group of options expressing the impression of a document for each of the impression information;
Wherein said user from a selection group included in the impression expression storage means is selected, and choices acquisition means acquire an option that matches the impression that the goal of design creation of a document,
For the options selected by the option acquisition means, set the weight coefficient of each option so that the total value of the weight coefficients for each user who selected the option in the option acquisition means matches,
For each cluster to which the user belongs, the weighting factors set for the options associated in the impression expression storage means for each impression information are integrated as an evaluation value, and the impression information having the largest evaluation value is created as a document design. Target impression information determining means for determining impression information representing the target impression of
Design production support program characterized by functioning as Computer
Clustering processing means for classifying a user who sets an impression of a document design production target into at least one of a plurality of clusters according to the characteristics of the user;
Impression expression storage means for storing, in association with each other, impression information and at least one of a group of options expressing the impression of a document for each of the impression information;
Option acquisition means for acquiring an option that matches the impression of a document design production selected by the user from the option group included in the impression expression storage means;
For the options selected by the option acquisition unit, the total value of the weight coefficients for each user who selected the option by the option acquisition unit matches, and the weight coefficient of each option is set so that the option selected earlier has a higher value. Set,
For each cluster to which the user belongs, the weighting factors set for the options associated in the impression expression storage means for each impression information are integrated as an evaluation value, and the impression information having the largest evaluation value is created as a document design. Target impression information determining means for determining impression information representing the target impression of
Design production support program characterized by functioning as Computer
Clustering processing means for classifying a user who sets an impression received from an actual document design into at least one of a plurality of clusters according to the characteristics of the user;
Image expression storage means for storing, in association with each cluster, impression information and at least one of a group of options expressing the impression of a document for each of the impression information;
Wherein said user from a selection group included in the image representation storing means is selected, and choices acquisition means acquire the suits impression received from the actual design of the document choices,
For the options selected by the option acquisition means, set the weight coefficient of each option so that the total value of the weight coefficients for each user who selected the option in the option acquisition means matches,
For each cluster to which the user belongs, the weighting factors set for the options associated in the image representation storage means for each impression information are integrated as an evaluation value, and the impression information having the largest evaluation value is added to the actual document. User impression information determining means for determining impression information representing an impression received from a design;
Design production support program characterized by functioning as Computer
Clustering processing means for classifying a user who sets an impression received from an actual document design into at least one of a plurality of clusters according to the characteristics of the user;
Image expression storage means for storing, in association with each cluster, impression information and at least one of a group of options expressing the impression of a document for each of the impression information;
Option acquisition means for acquiring an option that matches the impression received from the design of the actual document selected by the user from the option group included in the image expression storage means;
For the options selected by the option acquisition unit, the total value of the weight coefficients for each user who selected the option by the option acquisition unit matches, and the weight coefficient of each option is set so that the option selected earlier has a higher value. Set,
For each cluster to which the user belongs, the weighting factors set for the options associated in the image representation storage means for each impression information are integrated as an evaluation value, and the impression information having the largest evaluation value is added to the actual document. User impression information determining means for determining impression information representing an impression received from a design;
Design production support program characterized by functioning as

Images