Support system, support device, support method, and support program

Abstract

To improve convenience for users who intend to buy commodities.SOLUTION: A support system 10 comprises: a sensitivity information analysis device 100; and a commodity purchase support device 200. The sensitivity information analysis device 100 comprises: a reply collecting part for collecting replies of a plurality of users to questionnaires including questions which ask impressions or tastes to commodities or expressions which do not directly relate to commodities being selection objects; and a selection reference generation part for analyzing the replies collected, for generating selection references for selecting a commodities or spaces for installing the commodities matching sensitivities or tastes of users, on the basis of the replies to the questionnaires. The commodity purchase support device 200 comprises: a reply acquiring part for acquiring replies of the users to the questionnaires; a selecting part for selecting the commodities or the spaces matching the sensitivities or tastes of the users, on the basis of the selection references from the acquired replies; and a presenting part for presenting the selected commodities or the spaces to the users.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present disclosure relates to a technique for supporting purchasers of products.

Background Art

[0002] Various methods for grasping the hobbies and preferences of customers have been used to create living spaces suited to the hobbies and preferences of the customers. For example, Patent Document 1 proposes a lifestyle concept suited to a customer from the results of a questionnaire asking for requests for a lifestyle.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, since customers themselves often do not grasp their own sensibilities and lifestyles, the present inventors have recognized as a problem that the method described in Patent Document 1 cannot propose something that is truly suitable for the customers or bring out their potential needs.

[0005] The present disclosure has been made in view of such problems, and an object thereof is to provide a technique for improving the convenience of a user who intends to purchase a product.

Means for Solving the Problems

[0006] To solve the above problems, a support system in one aspect of the present disclosure comprises an analysis device that collects and analyzes information relating to a user's sensibilities, and a support device that assists in selecting products that match the user's sensibilities or preferences based on the analysis results by the analysis device, wherein the analysis device comprises a response collection unit that collects responses from multiple users to a questionnaire that includes questions asking about the user's impressions or preferences for products or expressions that are not directly related to the products to be selected, and a selection criteria generation unit that generates selection criteria for selecting products or spaces in which products are installed that match the user's sensibilities or preferences based on the responses to the questionnaire by analyzing the responses collected by the response collection unit, and the support device comprises a response acquisition unit that obtains user responses to the questionnaire, a selection unit that selects products or spaces that match the user's sensibilities or preferences from the responses obtained by the response acquisition unit based on the selection criteria, and a presentation unit that presents the products or spaces selected by the selection unit to the user.

[0007] Another aspect of this disclosure is an analytical device. This device includes a response collection unit that collects responses from multiple users to a questionnaire that includes questions asking about the user's impressions or preferences of products or expressions not directly related to the products to be selected, in order to generate selection criteria for selecting products or spaces in which products are installed that match the user's sensibilities or preferences based on the user's responses to the questionnaire, and a selection criteria generation unit that generates selection criteria by analyzing the responses collected by the response collection unit.

[0008] Another aspect of this disclosure is an analysis method. This method causes a computer to perform the steps of: collecting responses from multiple users to a questionnaire that includes questions about the user's impressions or preferences of products or expressions that are not directly related to the products to be selected, in order to generate selection criteria for selecting products or spaces in which products are installed that are in line with the user's sensibilities or preferences based on the user's responses to the questionnaire; and generating selection criteria by analyzing the collected responses.

[0009] Another aspect of this disclosure is a support device. This device includes: an answer acquisition unit that acquires user responses to a questionnaire that includes questions asking about the user's impressions or preferences regarding products or expressions that are not directly related to the product the user intends to purchase; a selection unit that selects products or spaces that match the user's sensibilities or preferences from the responses acquired by the answer acquisition unit, based on selection criteria for selecting products or spaces in which products are installed that match the user's sensibilities or preferences based on the answers to the questionnaire; and a presentation unit that presents the products or spaces selected by the selection unit to the user.

[0010] Another aspect of this disclosure is a support method. This method comprises the steps of: obtaining user responses to a questionnaire that includes questions asking about the user's impressions or preferences of products or representations that are not directly related to the product the user intends to purchase; selecting products or spaces that match the user's sensibilities or preferences from the obtained responses based on selection criteria for selecting products or spaces in which products are installed that match the user's sensibilities or preferences based on the answers to the questionnaire; and presenting the selected products or spaces to the user.

[0011] Furthermore, any combination of the above components, as well as conversions of the expression of the present invention between methods, apparatus, systems, recording media, computer programs, etc., are also valid embodiments of the present invention. [Brief explanation of the drawing]

[0012] [Figure 1] This diagram shows the configuration of the product purchase support system according to the embodiment. [Figure 2] This diagram shows the functional block of the affective information analysis device according to the embodiment. [Figure 3] This figure shows examples of physical adjectives and emotional adjectives. [Figure 4] Figures 4(a), (b), and (c) show examples of questionnaires administered by a sensory information analysis device. [Figure 5] This diagram shows the functional blocks of the product purchase support device according to the embodiment. [Figure 6] This figure shows an example of a display screen presented by a product purchase support device. [Figure 7] This figure shows an example of a display screen presented by a product purchase support device. [Figure 8] This figure shows an example of a display screen presented by a product purchase support device. [Figure 9] This figure shows an example of a display screen presented by a product purchase support device. [Figure 10] This flowchart shows the procedure for the analysis method according to the embodiment. [Figure 11] This is a flowchart showing the procedure for the support method according to the embodiment. [Modes for carrying out the invention]

[0013] As an embodiment of this disclosure, a technology that assists in selecting products that match the user's sensibilities and preferences will be described. The support system of this embodiment conducts a questionnaire that includes questions about the user's impressions and preferences regarding objects, spaces, words, etc., and automatically selects (selects) products that match the user's sensibilities, which have been quantified based on the user's answers to the questionnaire, and presents them to the user. As a result, the user can discover products that match their sensibilities and preferences from among many products simply by answering a simple questionnaire. Furthermore, according to the support system of this embodiment, when a user purchases a house, remodels or renovates a living space, or purchases multiple products to be placed in a living space at the same time, it is possible to provide the user with a living space with high emotional value that is suitable for the user by suggesting multiple products that match the user's sensibilities and preferences.

[0014] Figure 1 shows the configuration of a support system 10 according to an embodiment. The support system 10 includes a sensibility information analysis device 100 that collects and analyzes information related to user sensibility, a product purchase support device 200 that supports selection of products matching the user's sensibility or preference based on the analysis result from the sensibility information analysis device 100, a user terminal 300 used by a user, a product information providing device 400 that provides information related to products, and the Internet 20 as an example of a communication unit connecting these components.

[0015] The sensibility information analysis device 100 implements a questionnaire for collecting information related to user sensibility, and collects responses to the questionnaire from a plurality of users. By analyzing the collected responses, the sensibility information analysis device 100 generates selection criteria for selecting products matching the user's sensibility or preference based on the responses to the questionnaire. The sensibility information analysis device 100 provides the generated selection criteria to the product purchase support device 200.

[0016] The product purchase support device 200 implements a questionnaire for acquiring information related to user sensibility, and acquires responses to the questionnaire from the user terminal 300. Based on the selection criteria acquired from the sensibility information analysis device 100, the product purchase support device 200 selects a product matching the user's sensibility or preference or a space where the product is placed from the acquired responses, and presents the selected result to the user terminal 300.

[0017] The product information providing device 400 provides the user terminal 300 with information related to products presented from the product purchase support device 200 to the user terminal 300. The product information providing device 400 may be configured as a web server, and may provide information related to products to the user terminal 300 via a web page.

[0018] Figure 2 shows functional blocks of the sensitivity information analysis apparatus 100 according to the embodiment. Each block can be implemented by elements and circuits including a CPU and a memory in terms of hardware, and can be implemented by a computer program or the like in terms of software. Here, functional blocks implemented by their cooperation are depicted. These functional blocks can be implemented in various modes by a combination of hardware and software. The same applies to subsequent block diagrams.

[0019] The sensitivity information analysis apparatus 100 includes a communication unit 102, a control unit 110, and a storage device 150. The communication unit 102 controls communication with other apparatuses via the Internet 20. The communication unit 102 may communicate with other apparatuses using any wired or wireless communication technology.

[0020] The storage device 150 includes a questionnaire holding unit 151, a response holding unit 152, and a user database 153.

[0021] The questionnaire holding unit 151 holds questionnaire data. The questionnaire includes a plurality of questions, and each of the plurality of questions includes a plurality of answer options. Each of the options is assigned a score of a physical adjective that describes the state or impression of an object, or a sensitivity word that expresses human sensitivity. The response holding unit 152 holds user responses to the questionnaire. The user database 153 stores information on users who have responded to the questionnaire. The user database 153 may store attribute information such as the user's age, gender, occupation, hobbies, family structure, and place of residence.

[0022] Figure 3 shows examples of physical adjectives and emotional adjectives. Physical adjectives are adjectives and adjectival nouns that describe the state or impression of an object, such as "bright," "glossy," and "warm." Emotional adjectives are adjectives and adjectival nouns that are recalled by humans in response to emotions triggered by external events. Emotional adjectives are classified into multiple levels. Lower-level sensibilities describe the characteristics and tendencies in human sensation, perception, and their recognition and interpretation, such as "familiarity," "comfort," and "urban." Higher-level sensibilities are sensibilities that function as a result of integrating multiple lower-level sensibilities, such as "a sense of specialness."

[0023] Lower-level sensibilities are feelings that many people can commonly recall, to varying degrees, in response to a given object, and are relatively easy to quantify through surveys and other means. In contrast, higher-level sensibilities are strongly influenced by background knowledge and the perception of various surrounding circumstances, and can vary greatly from person to person and depending on the timing, making them difficult to quantify. For example, many people might associate the bathroom of a luxury hotel with sensibilities such as "urban," "sophisticated," and "elegant," while the bathroom of a rustic inn might evoke sensibilities such as "familiar," "comfortable," and "natural." However, the degree to which each of these values ​​expressed in lower-level sensibility terms is emphasized varies from person to person, making it difficult to quantify "specialness" by directly asking users about it. Furthermore, users themselves may not even be aware of which they perceive as "special."

[0024] In this embodiment, as shown in Figure 3, a questionnaire is conducted that includes answer choices to which scores are assigned to multiple sensory words representing lower-order sensibilities that constitute higher-order sensibilities, in order to quantify higher-order sensibilities. This makes it possible to quantify and understand the user's higher-order sensibilities, and thus accurately select products and spaces that match the user's sensibilities and preferences. Furthermore, since users are presented with products and spaces that match their sensibilities and preferences simply by answering an easy-to-answer questionnaire, user convenience can be improved.

[0025] Figures 4(a), 4(b), and 4(c) show examples of questionnaires administered by the affective information analysis device 100. Figure 4(a) shows a question that presents an image of a living space and asks for the impression it gives. For low-level affective words such as "familiar" and "comfortable," and physical adjectives such as "bright" and "warm," five response options are provided, ranging from "strongly disagree" to "strongly agree." The responses to this question reflect the differences in each user's impression of the same living space image. The response options may also be provided in any number of stages, such as two or seven.

[0026] Figure 4(b) shows a question that presents multiple words and asks about the image of the desired product. Low-level emotional words such as "familiar" and "comfortable," and physical adjectives such as "bright" and "warm" are given as answer options, and up to three top choices can be selected. The answers to this question reflect the emotions and impressions that users value when choosing a product.

[0027] Figure 4(c) shows a question presenting several watches and asking which one suits the user's preferences. Each watch is assigned scores for low-level emotional words and physical adjectives. For example, luxury brand watches are assigned high scores for "sophisticated" and "elegant," and low scores for "approachable" and "rough." By offering options that are not directly related to the product the user is trying to purchase but are likely to reflect the user's sensibilities and preferences, it becomes easier for the user to answer, and responses that more strongly reflect the user's sensibilities and preferences can be obtained. The products used as options may also be products that the user uses more often in their daily life. For example, the options may be clothing, accessories, or daily necessities. The options may also be products placed in living spaces. For example, the options may be curtains, carpets, or decorative items. The options may also be images of living spaces or building materials such as interior materials. Furthermore, the options may not be the products themselves, but abstract expressions that are not directly related to the target product, such as colors or patterns.

[0028] Returning to Figure 2, the control unit 110 includes a questionnaire presentation unit 111, a response collection unit 112, a response analysis unit 113, a selection criteria generation unit 114, and a selection criteria provision unit 115.

[0029] The questionnaire presentation unit 111 presents the questionnaire read from the questionnaire storage unit 151 to the user terminal 300. The response collection unit 112 collects the responses to the questionnaire sent from the user terminal 300 and stores them in the response storage unit 152.

[0030] The response analysis unit 113 analyzes the responses stored in the response storage unit 152. The response analysis unit 113 may, for example, extract common factors by performing factor analysis on the responses quantified by scores, and then calculate factor scores for the extracted common factors for each user cluster to grasp the tendencies of sensibilities and preferences for each cluster. For example, users may be classified into clusters such as cluster A, which emphasizes "extraordinary experiences," cluster B, which emphasizes "elegance," and cluster C, which emphasizes "peace of mind," based on the concept of "specialness." The response analysis unit 113 may also analyze the responses using statistical processing such as regression analysis, multiple regression analysis, principal component analysis, classification, clustering, and dimensionality reduction, or by machine learning.

[0031] The selection criteria generation unit 114 generates selection criteria for selecting products or spaces that match the user's sensibilities or preferences, based on the analysis results by the response analysis unit 113, from the user's responses to the questionnaire. The selection criteria may include calculation criteria for quantifying the user's sensibilities from the responses to the questionnaire. These calculation criteria may be mathematical formulas or the like for quantifying the user's sensibilities based on the scores assigned to the choices the user answered. The selection criteria may also include criteria for determining which of several categories, classified according to preference tendencies, the user belongs to, and selecting products according to the determined category. The selection criteria may also include criteria for calculating the similarity between the quantified user's sensibilities and the scores assigned to products or spaces, and selecting products with a high calculated similarity.

[0032] The selection criteria provision unit 115 provides the selection criteria generated by the selection criteria generation unit 114 to the product purchase support device 200 via the Internet 20.

[0033] Figure 5 shows the functional blocks of the product purchase support device 200 according to the embodiment. These functional blocks can be implemented in various ways by combining hardware and software.

[0034] The product purchase support device 200 comprises a communication unit 202, a control unit 210, and a storage device 250. The communication unit 202 controls communication with other devices via the Internet 20. The communication unit 202 may communicate with other devices using any communication technology, whether wired or wireless.

[0035] The storage device 250 includes a questionnaire storage unit 251, a selection criteria storage unit 252, and a product information database 253.

[0036] The questionnaire storage unit 251 stores questionnaire data provided by the affective information analysis device 100. The selection criteria storage unit 252 stores selection criteria provided by the affective information analysis device 100. The product information database 253 stores information about products provided by the product information provision device 400. The product information database 253 further stores information and images related to the space in which the product is placed. The space may be, for example, a living room, bedroom, bathroom, toilet, kitchen, or living room.

[0037] The control unit 210 includes a questionnaire presentation unit 211, a response acquisition unit 212, a spatial selection unit 213, a product selection unit 214, a presentation unit 215, a selection acceptance unit 216, a product information acquisition unit 217, a score assignment unit 218, a product classification unit 219, a response transmission unit 220, a selection result transmission unit 221, and a selection criteria update unit 222.

[0038] The questionnaire presentation unit 211 presents the questionnaire questions and answer choices stored in the questionnaire storage unit 251 to the user terminal 300. The response acquisition unit 212 acquires the user's responses to the questionnaire from the user terminal 300.

[0039] The spatial selection unit 213 selects a space that matches the user's sensibilities or preferences from the responses obtained by the response acquisition unit 212, based on the selection criteria held in the selection criteria holding unit 252. The presentation unit 215 reads an image of the space selected by the spatial selection unit 213 from the product information database 253 and presents it to the user terminal 300.

[0040] The product selection unit 214 selects products that match the user's sensibilities or preferences from the responses obtained by the response acquisition unit 212, based on the selection criteria held in the selection criteria holding unit 252. The presentation unit 215 reads the information of the products selected by the product selection unit 214 from the product information database 253 and presents it to the user terminal 300.

[0041] The selection reception unit 216 receives the space or product selected by the user from among the selection candidates of space or product presented to the user terminal 300 by the presentation unit 215.

[0042] The product information acquisition unit 217 acquires product information from the product information providing device 400 and stores it in the product information database 253.

[0043] The scoring unit 218 assigns scores for low-level emotional words and physical adjectives to products whose information is stored in the product information database 253 and stores them in the product information database 253. The scoring unit 218 may accept score input from a person in charge and assign scores to products, or it may assign scores generated by artificial intelligence for automatically generating scores from product information to products. The artificial intelligence may be trained by supervised learning, using product information and scores assigned by a person in charge as training data. The scoring unit 218 may also conduct a survey about products and assign scores generated by analyzing the responses to the survey to products. The assigned scores may be used to calculate the similarity between the user's emotional sensibilities quantified from the survey responses and the scores assigned to products or spaces, and to select products with a high calculated similarity.

[0044] The product classification unit 219 classifies products whose information is stored in the product information database 253. The product classification unit 219 may determine which of several categories, classified according to preference trends, the user belongs to, and classify the product by category if selection criteria for selecting products according to the determined category are applied. The product classification unit 219 may accept input of the category to which the product belongs from a person in charge or the like and classify the product, or it may classify the product into a category determined by artificial intelligence for automatically determining the category from the product information. The artificial intelligence may be trained by supervised learning, using product information and categories classified by a person in charge or the like as training data.

[0045] The response transmission unit 220 transmits the user's responses to the questionnaire, obtained by the response acquisition unit 212, to the affective information analysis device 100. The selection result transmission unit 221 transmits the user's selection results, received by the selection reception unit 216, to the affective information analysis device 100. The transmitted information may be used by the affective information analysis device 100 for further analysis by the response analysis unit 113, or for generating or updating selection criteria by the selection criteria generation unit 114. It may also be used by the affective information analysis device 100 to update the scores assigned to the answer choices in the questionnaire.

[0046] The selection criteria update unit 222 acquires the updated selection criteria from the affective information analysis device 100 and updates the selection criteria holding unit 252.

[0047] Figure 6 shows an example of a display screen presented by the product purchase support device 200. The spatial selection unit 213 presents bathroom space colors, patterns, and shapes that match the user's sensibilities and preferences based on the user's responses to the questionnaire. The presentation unit 215 presents physical adjectives and low-level emotional words with high scores calculated from the user's responses to the questionnaire as an evaluation result.

[0048] Figure 7 shows an example of a display screen presented by the product purchase support device 200. The spatial selection unit 213 presents spaces selected based on the user's responses to a questionnaire (see Figure 4). Figure 6 serves to show the user the selection process that led to the selection of the candidates exemplified in Figure 7. This function makes the proposal related to Figure 7, which is ultimately presented, more persuasive. When the user selects one of the candidate images on the display screen shown in Figure 7, the spatial selection unit 213 confirms the selection of the space.

[0049] Figure 8 shows an example of a display screen presented by the product purchase support device 200. The product selection unit 214 selects products to be placed in the space selected by the user. The product selection unit 214 selects products from the product information database 253 that match the user's sensibilities and preferences and are suitable for the space that has been selected. For example, the product selection unit 214 selects products such as wall panels, flooring, and bathtubs to be placed in the bathroom space. When the user selects one of the selection candidates on the display screen shown in Figure 8, the product selection unit 214 confirms the product selection. If one type of product is selected by the user, the product selection unit 214 may re-select candidates for other types of products. For example, the product selection unit 214 may preferentially select products that have the same or similar color, pattern, shape, design, physical adjectives, emotional words, impression, etc. as the product that has already been selected.

[0050] Figure 9 shows an example of a display screen presented by the product purchase support device 200. Once the selection of all products to be placed in the space is confirmed, the presentation unit 215 presents the user with an image of the space in which the confirmed products are placed. The product purchase support device 200 may also obtain information on the confirmed products from the product information database 253 or the product information providing device 400, and transmit this information to a system for creating estimates, which will then present the estimate to the user.

[0051] Figure 10 is a flowchart illustrating the procedure of the analysis method according to the embodiment. The questionnaire presentation unit 111 of the affective information analysis device 100 presents the questionnaire to the user terminal 300, and the response collection unit 112 collects responses to the questionnaire from the user terminal 300 (S10). The response analysis unit 113 analyzes the collected responses (S12). The selection criteria generation unit 114 generates selection criteria for selecting products or spaces that match the user's sensibilities or preferences from the user's responses to the questionnaire, based on the analysis results by the response analysis unit 113 (S14). The selection criteria provision unit 115 provides the selection criteria generated by the selection criteria generation unit 114 to the product purchase support device 200 (S16).

[0052] Figure 11 is a flowchart illustrating the procedure of the support method according to the embodiment. The questionnaire presentation unit 211 of the product purchase support device 200 presents the questionnaire to the user terminal 300, and the response acquisition unit 212 acquires the user's response to the questionnaire (S30). The space selection unit 213 selects a space that matches the user's sensibilities or preferences from the responses acquired by the response acquisition unit 212 based on selection criteria (S32). The presentation unit 215 presents the user with an image of the space selected by the space selection unit 213 (S34). The selection reception unit 216 accepts the user's selection from the selection candidates of the space presented to the user by the presentation unit 215 and confirms the selection (S36).

[0053] The product selection unit 214 selects products that match the user's sensibilities or preferences and the space selected by the user, based on selection criteria (S38). The presentation unit 215 presents the user with information about the products selected by the product selection unit 214 (S40). The selection reception unit 216 accepts the user's selection from the product selection candidates presented to the user by the presentation unit 215 and confirms the selection (S42). If there are any unselected products remaining (N in S44), the product selection unit 214 re-selects other products to match the already selected products (S46), returns to S40, and the presentation unit 215 presents the user with information about the products selected by the product selection unit 214 (S40). Once all products have been selected (Y in S44), the presentation unit 215 presents the user with an image of the space where the selected products are placed (S48).

[0054] The present invention has been described above based on embodiments, but embodiments merely illustrate the principles and applications of the present invention. Furthermore, many modifications and changes in arrangement are possible in the embodiments, without departing from the spirit of the present invention as defined in the claims.

[0055] In the embodiment described, an example was given in which the affective information analysis device 100 and the product purchase support device 200 are implemented as separate devices, but these devices may be implemented by a single device. Furthermore, the product information provision device 400 and the product purchase support device 200 may be implemented by a single device. Also, the affective information analysis device 100, the product purchase support device 200, and the product information provision device 400 may be implemented by a single device. Some or all of the functions of the affective information analysis device 100, the product purchase support device 200, or the product information provision device 400 may be implemented by an application executed on the user terminal 300. Some or all of the functions of these devices may be implemented in any manner, such as cloud computing, distributed processing, or a server-client model. [Explanation of symbols]

[0056] 10 Support system, 20 Internet, 100 Affective information analysis device, 111 Questionnaire presentation unit, 112 Response collection unit, 113 Response analysis unit, 114 Selection criteria generation unit, 115 Selection criteria provision unit, 151 Questionnaire storage unit, 152 Response storage unit, 153 User database, 200 Product purchase support device, 211 Questionnaire presentation unit, 212 Response acquisition unit, 213 Spatial selection unit, 214 Product selection unit, 215 Presentation unit, 216 Selection acceptance unit, 217 Product information acquisition unit, 218 Score assignment unit, 219 Product classification unit, 220 Response transmission unit, 221 Selection result transmission unit, 222 Selection criteria update unit, 251 Questionnaire storage unit, 252 Selection criteria storage unit, 253 Product information database, 300 User terminal, 400 Product information provision device.

Claims

1. On the computer, A process of obtaining user responses to a questionnaire that includes questions about the user's impression or preference for products or expressions that are not directly related to the product the user intends to purchase or the space in which the product will be installed, Based on selection criteria for selecting a space that matches the user's sensibilities or preferences, the process involves presenting the user with information about a space that matches the user's sensibilities or preferences, based on the responses obtained. A support program to enable execution.

2. In the process of presenting, the user is presented with at least one of the following: an image of a space that matches the user's sensibilities or preferences, and information relating to products that match the space. The support program according to claim 1.

3. In the process described above, images of multiple spaces that match the user's sensibilities or preferences are presented to the user. The support program according to claim 1 or 2.

4. In the process described above, information regarding multiple products that fit the space is presented to the user. The support program according to any one of claims 1 to 3.

5. The aforementioned questionnaire further includes questions that inquire about the user's impressions or preferences regarding images or words of objects or spaces. The support program according to any one of claims 1 to 4.

6. In the process described above, information regarding the user's sensibilities or preferences, analyzed based on the user's responses to the questionnaire, is presented to the user. The support program according to any one of claims 1 to 5.

7. A response acquisition unit that acquires user responses to a questionnaire that includes questions about the user's impression or preference for products or expressions that are not directly related to the product the user intends to purchase or the space in which the product will be installed, Based on selection criteria for selecting a space that matches the user's sensibilities or preferences, a presentation unit presents to the user information about a space that matches the user's sensibilities or preferences, based on the responses obtained by the response acquisition unit. A support device equipped with the following features.

8. The display unit presents to the user at least one of an image of a space that matches the user's sensibilities or preferences and information relating to a product that matches the space. The support device according to claim 7.

9. An analytical device that collects and analyzes information about user sensibilities, A support device that assists in selecting a space that suits the user's sensibilities or preferences based on the analysis results from the aforementioned analysis device, Equipped with, The aforementioned analytical device is A response collection unit that collects responses from multiple users to a questionnaire that includes questions asking about users' impressions or preferences regarding the space or products or expressions that are not directly related to the products installed in the space, A selection criteria generation unit generates selection criteria for selecting a space that matches the user's sensibilities or preferences based on the answers to the questionnaire, by analyzing the answers collected by the aforementioned answer collection unit. Equipped with, The aforementioned support device is A response acquisition unit that acquires user responses to the aforementioned questionnaire, Based on the selection criteria, a presentation unit presents to the user information about spaces that match the user's sensibilities or preferences, from the responses obtained by the response acquisition unit. A support system equipped with these features.

10. The display unit presents to the user at least one of an image of a space that matches the user's sensibilities or preferences and information relating to a product that matches the space. The support system according to claim 9.

11. On the computer, A process of obtaining user responses to a questionnaire that includes questions about the user's impression or preference for products or expressions that are not directly related to the product the user intends to purchase or the space in which the product will be installed, Based on selection criteria for selecting a space that matches the user's sensibilities or preferences, the process involves presenting the user with information about a space that matches the user's sensibilities or preferences, based on the responses obtained. A method to support the execution of this task.

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