Support system, analysis device, analysis method, support device, support method, analysis program, 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 techniques for assisting product purchasers. [Background technology]

[0002] In order to create a living space that suits the tastes and preferences of customers, various methods are used to understand the tastes and preferences of customers. For example, Patent Document 1 proposes a lifestyle concept that suits a customer based on the results of a questionnaire asking about lifestyle requests. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2007-058577 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, the inventors recognized that the method described in Patent Document 1 is unable to suggest items that are truly suitable for the customer or to draw out their latent needs, since customers themselves often do not understand their own sensibilities or lifestyles.

[0005] The present disclosure has been made in consideration of such problems, and has as its purpose to provide a technique for improving convenience for users who wish to purchase products. [Means for solving the problem]

[0006] In order to solve the above problems, a support system of one aspect of the present disclosure includes an analysis device that collects and analyzes information regarding a user's sensibilities, and a support device that supports selection of a product that suits the user's sensibilities or preferences based on the analysis results by the analysis device. The analysis device includes an answer collection unit that collects answers from multiple users to a questionnaire including questions asking about the user's impressions or preferences for products or expressions that are not directly related to the product to be selected, and a selection criterion generation unit that analyzes the answers collected by the answer collection unit to generate selection criteria for selecting a product that suits the user's sensibilities or preferences or a space in which the product will be installed based on the answers to the questionnaire. The support device includes an answer acquisition unit that acquires users' answers to the questionnaire, a selection unit that selects a product or space that suits the user's sensibilities or preferences from the answers acquired by the answer acquisition unit based on the selection criteria, and a presentation unit that presents the product or space selected by the selection unit to the user.

[0007] Another aspect of the present disclosure is an analysis device that includes an answer collection unit that collects answers from a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions that are not directly related to a product to be selected, in order to generate selection criteria for selecting a product or a space in which the product is to be installed that matches the user's sensibility or preference based on the answers to the questionnaire, and a selection criteria generation unit that generates the selection criteria by analyzing the answers collected by the answer collection unit.

[0008] Yet another aspect of the present disclosure is an analysis method, which causes a computer to execute a step of collecting responses from a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions that are not directly related to the product to be selected, in order to generate selection criteria for selecting a product or a space in which the product is to be installed that matches the user's sensibilities or preferences based on the responses to the questionnaire, and a step of generating the selection criteria by analyzing the collected responses.

[0009] Yet another aspect of the present disclosure is a support device, which includes: an answer acquisition unit that acquires answers from a user to a questionnaire including questions asking about the user's impressions or preferences for products or expressions that are not directly related to a product that the user is going to purchase; a selection unit that selects a product or a space that matches the user's sensibility or preference from the answers acquired by the answer acquisition unit based on selection criteria for selecting a product that matches the user's sensibility or preference or a space in which the product is to be installed based on the answers to the questionnaire; and a presentation unit that presents the product or space selected by the selection unit to the user.

[0010] Yet another aspect of the present disclosure is a support method, which includes the steps of: acquiring, in a computer, a user's response to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions not directly related to a product that the user intends to purchase; selecting a product or space that matches the user's sensibility or preference from the acquired responses based on selection criteria for selecting a product or a space in which the product is to be installed that matches the user's sensibility or preference based on the answers to the questionnaire; and presenting the selected product or space to the user.

[0011] Any combination of the above components, and any transformation of the present invention into a method, device, system, recording medium, computer program, etc., are also effective as aspects of the present invention. [Brief description of the drawings]

[0012] [Figure 1] 1 is a diagram showing a configuration of a product purchase support system according to an embodiment; [Diagram 2] FIG. 2 is a diagram showing functional blocks of the sentiment information analysis device according to the embodiment. [Diagram 3] FIG. 13 is a diagram showing examples of physical adjectives and affective words. [Figure 4] 4(a), (b), and (c) are diagrams showing examples of a questionnaire conducted by the sentiment information analysis device. [Diagram 5] FIG. 2 is a diagram showing functional blocks of the product purchase support device according to the embodiment. [Figure 6] FIG. 13 is a diagram showing an example of a display screen presented by the product purchase support device. [Figure 7] FIG. 13 is a diagram showing an example of a display screen presented by the product purchase support device. [Figure 8] FIG. 13 is a diagram showing an example of a display screen presented by the product purchase support device. [Figure 9] FIG. 13 is a diagram showing an example of a display screen presented by the product purchase support device. [Figure 10] 1 is a flowchart showing a procedure of an analysis method according to an embodiment. [Figure 11] 1 is a flowchart showing a procedure of a support method according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] As an embodiment of the present disclosure, a technology for supporting the selection of a product that matches the user's sensibility and taste will be described. The support system of this embodiment conducts a questionnaire including questions asking about the user's impressions and tastes regarding objects, spaces, words, etc., and automatically selects (selects) products that match the user's sensibility that is quantified based on the user's answers to the questionnaire, and presents them to the user. This allows the user to find a product that matches his or her sensibility and taste from among many products by simply 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 simultaneously purchases multiple products to be placed in the living space, a living space with high sensibility value suitable for the user can be provided by suggesting multiple products that match the user's sensibility and taste.

[0014] 1 shows a 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 a user's sensibility, a product purchase support device 200 that supports the user in selecting a product that matches the user's sensibility or preference based on the analysis result by the sensibility information analysis device 100, a user terminal 300 used by the user, a product information providing device 400 that provides information related to products, and the Internet 20 that is an example of a communication means connecting them.

[0015] The sentiment information analysis device 100 conducts a questionnaire to collect information on user sentiment and collects responses to the questionnaire from a plurality of users. The sentiment information analysis device 100 analyzes the collected responses to generate selection criteria for selecting products that match the user's sensibilities or preferences based on the responses to the questionnaire. The sentiment information analysis device 100 provides the generated selection criteria to the product purchase support device 200.

[0016] The product purchase support device 200 conducts a questionnaire to obtain information regarding the user's sensibilities, and obtains responses to the questionnaire from the user terminal 300. Based on the selection criteria obtained from the sensibility information analysis device 100, the product purchase support device 200 selects products or spaces in which products are installed that match the user's sensibilities or preferences from the obtained responses, and presents them to the user terminal 300.

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

[0018] 2 shows functional blocks of the sensibility information analysis device 100 according to the embodiment. In terms of hardware, each block can be realized by elements and circuits such as a CPU and memory, and in terms of software, each block can be realized by a computer program or the like. Here, functional blocks realized by cooperation between them are depicted. These functional blocks can be realized in various forms by combining hardware and software. The same applies to the subsequent block diagrams.

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

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

[0021] The questionnaire storage unit 151 stores questionnaire data. The questionnaire includes a plurality of questions, each of which includes a plurality of answer options. Each option is assigned a score of a physical adjective describing the state or impression of an object, or a sentiment word expressing human sensibility. The answer storage unit 152 stores user answers to the questionnaire. The user database 153 stores information about users who have answered the questionnaire. The user database 153 may store attribute information such as the user's age, sex, occupation, hobbies, family structure, and place of residence.

[0022] FIG. 3 shows examples of physical adjectives and affective words. Physical adjectives are adjectives and adjectival verbs that describe the state or impression of an object, such as "bright," "glossy," and "warm." Affective words are adjectives and adjectival verbs that are evoked by humans in response to emotions evoked by events in the external world. Affective words are classified into multiple hierarchies. Lower-level kansei express the characteristics and tendencies of human sensations, perceptions, and their recognition and interpretation, such as "closeness," "comfortable," and "urban." Higher-level kansei functions as a result of integrating multiple lower-level kansei, such as "extraordinary."

[0023] Low-level sensitivities are sensitivities that many people can commonly evoke for a certain object, although to varying degrees, and are relatively easy to quantify by questionnaires, etc. In contrast, high-level sensitivities are sensitivities that can vary greatly depending on the person and the timing, as they are strongly influenced by background knowledge and awareness of various peripheral situations, and are difficult to quantify. For example, many people are thought to evoke sensitivities such as "urban," "refined," and "elegant" for a bathroom in a luxury hotel, and sensitivities such as "intimacy," "comfortable," and "natural" for a bathroom in a rustic inn. However, the degree to which the user places importance on the values ​​expressed by the former low-level sensitivities and the latter low-level sensitivities varies from person to person, so it is difficult to ask the user directly about "specialness" and have them quantify it. In addition, there are cases where the user himself does not know which one he feels is "special."

[0024] In this embodiment, as shown in Fig. 3, in order to quantify higher-order sensitivities, a questionnaire is conducted including answer choices to which scores of sensitivities words expressing a plurality of lower-order sensitivities constituting the higher-order sensitivities are assigned. This makes it possible to quantify and grasp the higher-order sensitivities of a user, and therefore to accurately select products and spaces that match the sensitivities and tastes of the user. In addition, the user only needs to answer an easy-to-answer questionnaire to be presented with products and spaces that match his or her sensitivities and tastes, thereby improving user convenience.

[0025] 4(a), (b), and (c) show examples of a questionnaire conducted by the sensitivity information analysis device 100. FIG. 4(a) shows a question that presents an image of a living space and asks about the impression of the image. Five answer options are given for low-level sensitivity words such as "close" and "comfortable" and physical adjectives such as "bright" and "warm", ranging from "not at all" to "very much". The answers to these questions reflect the differences in each user's impression of the same living space image. The answer options may be given in any number of stages, such as two stages or seven stages.

[0026] Figure 4(b) shows a question that asks for the image of a desired product by presenting multiple words. Low-level affective words such as "close" and "comfortable" and physical adjectives such as "bright" and "warm" are given as answer options, and users can select up to the top three. The answer to this question reflects the sensitivities and impressions that users consider important when selecting a product.

[0027] FIG. 4(c) shows a question in which a plurality of watches are presented and the user is asked which watch matches the user's preference. Each of the plurality of watches is assigned a score for low-level affective words and physical adjectives. For example, a luxury brand watch is assigned high scores for "sophisticated" and "elegant" and low scores for "close-minded" and "uneven". By providing options for products in categories that are not directly related to the target product the user is trying to purchase but that are likely to reflect the user's sensitivities and preferences, the user can easily answer the question and can obtain an answer that more strongly reflects the user's sensitivities and preferences. The products to be provided as options may be products that are often used by the user in daily life. For example, the options may be clothing, accessories, daily necessities, etc. The options may also be products that are placed in the living space. For example, the options may be curtains, carpets, decorative items, etc. The options may also be images of the living space or building materials such as interior materials. The options may not be the products themselves, but may be abstract expressions that are not directly related to the target product, such as colors and patterns.

[0028] Returning to FIG. 2, the control unit 110 includes a questionnaire presenting unit 111, a response collecting unit 112, a response analyzing unit 113, a selection criterion generating unit 114, and a selection criterion providing unit 115.

[0029] The questionnaire presenting unit 111 presents the questionnaire read out from the questionnaire storage unit 151 to the user terminal 300. The answer collecting unit 112 collects answers to the questionnaire sent from the user terminal 300 and stores them in the answer storing unit 152.

[0030] The answer analysis unit 113 analyzes the answers stored in the answer storage unit 152. The answer analysis unit 113 may, for example, extract common factors by performing factor analysis on the answers quantified by scores, and calculate the factor scores of the extracted common factors for each cluster of users, thereby grasping the tendency of sensibility and preference for each cluster. For example, as a "sense of specialness," users may be classified into cluster A that emphasizes "unusual," cluster B that emphasizes "elegance," and cluster C that emphasizes "comfort." The answer analysis unit 113 may analyze the answers by statistical processing such as regression analysis, multiple regression analysis, principal component analysis, classification, clustering, and dimension reduction, or machine learning.

[0031] The selection criteria generation unit 114 generates selection criteria for selecting a product or space that matches the user's sensibility or taste from the user's answer to the questionnaire based on the analysis result by the answer analysis unit 113. The selection criteria may include calculation criteria for quantifying the user's sensibility from the answer to the questionnaire. The calculation criteria may be a mathematical formula for quantifying the user's sensibility based on the score assigned to the option answered by the user. The selection criteria may include criteria for determining which of a plurality of categories classified by taste tendencies the user belongs to and selecting a product according to the determined category. The selection criteria may include criteria for calculating the similarity between the quantified user's sensibility and the score assigned to the product or space and selecting a product with a high calculated similarity.

[0032] Selection criteria providing unit 115 provides the selection criteria generated by selection criteria generating unit 114 to product purchase support device 200 via Internet 20.

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

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

[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 holding unit 251 holds questionnaire data provided from the sentiment information analysis device 100. The selection criteria holding unit 252 holds selection criteria provided from the sentiment information analysis device 100. The product information database 253 holds information about products provided from the product information providing device 400. The product information database 253 further holds information and images about 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 space selection unit 213, a product selection unit 214, a presentation unit 215, a selection reception 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 presenting unit 211 presents the questionnaire questions and answer options stored in the questionnaire storage unit 251 to the user terminal 300. The answer acquiring unit 212 acquires from the user terminal 300 the user's answers to the questionnaire.

[0039] The space selection unit 213 selects a space that matches the user's sensibility or preference from the answers acquired by the answer acquisition unit 212, based on the selection criteria stored in the selection criteria storage unit 252. The presentation unit 215 reads out an image of the space selected by the space selection unit 213 from the product information database 253, and presents it on the user terminal 300.

[0040] The product selection unit 214 selects products that match the user's sensibility or taste from the answers acquired by the answer acquisition unit 212, based on the selection criteria stored in the selection criteria storage unit 252. The presentation unit 215 reads out information on the products selected by the product selection unit 214 from the product information database 253, and presents it on the user terminal 300.

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

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

[0043] The score assigning unit 218 assigns scores of low-level affective words and physical adjectives to products whose information is stored in the product information database 253, and stores the scores in the product information database 253. The score assigning unit 218 may accept a score input from a person in charge or the like and assign the score to the product, or may assign a score generated by an artificial intelligence or the like for automatically generating a score from information about the product to the product. The artificial intelligence may learn by supervised learning using information about the product and the score assigned by a person in charge or the like as learning data. The score assigning unit 218 may assign a score to the product that is generated by conducting a questionnaire about the product and analyzing the responses to the questionnaire. The assigned score may be used to calculate a similarity between the user's sensibility quantified from the responses to the questionnaire and the score assigned to the product or space, 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 classify products by category when a selection criterion is applied that determines which of a plurality of categories classified according to taste trends the user belongs to and selects products according to the determined category. The product classification unit 219 may classify products by accepting an input of a category to which the product belongs from a person in charge or the like, or may classify products into a category determined by artificial intelligence or the like for automatically determining a category from information about the product. The artificial intelligence may learn by supervised learning using information about the product and the category classified by a person in charge or the like as learning data.

[0045] The answer sending unit 220 sends the user's answers to the questionnaire acquired by the answer acquiring unit 212 to the sentiment information analysis device 100. The selection result sending unit 221 sends the user's selection results accepted by the selection accepting unit 216 to the sentiment information analysis device 100. The sent information may be used for further analysis by the answer analysis unit 113 in the sentiment information analysis device 100, or may be used to generate or update selection criteria by the selection criterion generating unit 114. In addition, the sent information may be used to update the scores assigned to the answer options in the questionnaire in the sentiment information analysis device 100.

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

[0047] 6 shows an example of a display screen presented by product purchase support device 200. Space selection unit 213 presents colors, patterns, and shapes of bathroom spaces that match the user's sensibilities and preferences based on the user's answers to the questionnaire. Presentation unit 215 presents physical adjectives and low-level affective words with high scores calculated from the answers as evaluation results of the user's answers to the questionnaire.

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

[0049] FIG. 8 shows an example of a display screen presented by the product purchase support device 200. The product selection unit 214 selects a product to be placed in the space selected by the user. The product selection unit 214 selects a product that matches the user's sensibility and taste and is suitable for the space selected by the user from the product information database 253. For example, the product selection unit 214 selects a product such as a wall panel, a floor, or a bathtub to be placed in the bathroom space. When the user selects any of the selection candidates on the display screen shown in FIG. 8, the product selection unit 214 confirms the selection of the product. When any type of product is selected by the user, the product selection unit 214 may reselect candidates of other types of products. For example, the product selection unit 214 may preferentially select a product having the same or similar color, pattern, shape, design, physical adjective, affective word, impression, or the like as a product whose selection has already been confirmed.

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

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

[0052] 11 is a flowchart showing the procedure of the support method according to the embodiment. The questionnaire presentation unit 211 of the product purchasing support device 200 presents a questionnaire to the user terminal 300, and the answer acquisition unit 212 acquires the user's answers to the questionnaire (S30). The space selection unit 213 selects a space that matches the user's sensibility or taste from the answers acquired by the answer acquisition unit 212 based on the selection criteria (S32). The presentation unit 215 presents an image of the space selected by the space selection unit 213 to the user (S34). The selection acceptance unit 216 accepts the user's selection from the space selection candidates 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 sensibility or taste and the space selected by the user based on the selection criteria (S38). The presentation unit 215 presents information on the products selected by the product selection unit 214 to the user (S40). The selection acceptance unit 216 accepts the user's selection from among the product selection candidates presented to the user by the presentation unit 215 and confirms the selection (S42). If there are any products that have not been selected (N in S44), the product selection unit 214 reselects other products to match the products already selected (S46), and the process returns to S40, where the presentation unit 215 presents information on the products selected by the product selection unit 214 to the user (S40). When the selection of all products has been completed (Y in S44), the presentation unit 215 presents an image of the space in which the selected products are arranged to the user (S48).

[0054] Although the present invention has been described above based on the embodiments, the embodiments merely show the principles and applications of the present invention. Furthermore, the embodiments can be modified in many ways and with different arrangements without departing from the spirit of the present invention as defined in the claims.

[0055] In the embodiment, an example has been described in which the sensibility information analysis device 100 and the product purchase support device 200 are realized as separate devices, but these devices may be realized by one device. Furthermore, the product information providing device 400 and the product purchase support device 200 may be realized by one device. Furthermore, the sensibility information analysis device 100, the product purchase support device 200, and the product information providing device 400 may be realized by one device. A part or all of the functions of the sensibility information analysis device 100, the product purchase support device 200, or the product information providing device 400 may be realized by an application executed on the user terminal 300, or the like. A part or all of the functions of these devices may be realized in any manner, such as cloud computing, distributed processing, or a server-client model. [Explanation of symbols]

[0056] 10 Support system, 20 Internet, 100 Sensitivity 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 Space selection unit, 214 Product selection unit, 215 Presentation unit, 216 Selection reception 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 step of acquiring a user's response to a questionnaire including questions inquiring about the user's impressions or preferences regarding products or expressions that are not directly related to a space in which the product that the user intends to purchase is to be installed; selecting a space that matches the sensibility or taste of the user from the obtained answers based on a selection criterion for selecting a space in which a product that matches the sensibility or taste of the user will be installed based on the answers to the questionnaire; presenting the selected space to the user; A support program to implement the above.

2. The assistance program according to claim 1 , wherein the selection criteria include a calculation criterion for quantifying the user's sensibility from the responses to the questionnaire.

3. A computer comprising: A step of acquiring a user's response to a questionnaire including questions inquiring about the user's impressions or preferences regarding products or expressions not directly related to the product that the user intends to purchase; selecting a product or a space that matches the user's sensibility or taste from the obtained answers based on selection criteria for selecting a product or a space in which the product will be installed that matches the user's sensibility or taste based on the answers to the questionnaire; presenting the selected product or space to the user; Run the command, the selection criteria include calculation criteria for quantifying the user's sensibility from the responses to the questionnaire, A score of a physical adjective describing a state or an impression of an object or a sentiment word expressing a human sensibility is assigned to each of a plurality of answer options for a question included in the questionnaire, and the calculation criterion is to quantify the user's sensibility based on the score assigned to the option answered by the user. Support programs.

4. 4. The support program according to claim 3, wherein the calculation criterion quantifies the user's higher-level sensitivities based on a score of a physical adjective or a sensitivity word expressing a lower-level human sensitivity assigned to an answer option given by the user.

5. On the computer, A step of acquiring a user's response to a questionnaire including questions inquiring about the user's impressions or preferences regarding products or expressions not directly related to the product that the user intends to purchase; selecting a product or a space that matches the user's sensibility or taste from the obtained answers based on selection criteria for selecting a product or a space in which the product will be installed that matches the user's sensibility or taste based on the answers to the questionnaire; presenting the selected product or space to the user; Run the command, In the selecting step, a plurality of space candidates that match the sensibility or preference of the user are selected; In the presenting step, images of the plurality of spaces selected in the selecting step are presented to the user; In the selecting step, a plurality of product candidates suitable for the space selected by the user are selected from the plurality of spaces; In the presenting step, information regarding the multiple product candidates selected in the selecting step is presented to the user. Support programs.

6. A computer comprising: A step of acquiring a user's response to a questionnaire including questions inquiring about the user's impressions or preferences regarding products or expressions not directly related to the product that the user intends to purchase; selecting a product or a space that matches the user's sensibility or taste from the obtained answers based on selection criteria for selecting a product or a space in which the product will be installed that matches the user's sensibility or taste based on the answers to the questionnaire; presenting the selected product or space to the user; Run the command, In the selecting step, a plurality of candidates for a plurality of types of products to be installed in the space are selected, and when any one of the types of products is selected by the user, candidates for the other types of products are reselected. Support programs.

7. 7. The assistance program according to claim 1, wherein the questionnaire further includes questions about the user's impressions or preferences regarding images or words of objects or spaces.

8. The assistance program according to any one of claims 1 to 7, wherein the selection criteria include criteria for determining to which of a plurality of categories classified according to preference trends the user belongs, and for selecting products corresponding to the determined category.

9. The support program according to any one of claims 1 to 8, wherein the selection criteria include criteria for calculating a similarity between a quantified user's sensibility and a score assigned to a product or space, and selecting products having a high calculated similarity.

10. In the presenting step, information on 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 9.

11. a response collection unit that collects responses from a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions that are not directly related to the space in which the product to be selected is to be installed, in order to generate selection criteria for selecting a space in which a product that matches the user's sensibility or preference is to be installed based on the responses to the questionnaire; a selection criteria generation unit that generates the selection criteria by analyzing the answers collected by the answer collection unit; An analytical device comprising:

12. On the computer, A step of collecting responses from a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions that are not directly related to the space in which the product to be selected is to be installed, in order to generate selection criteria for selecting a space in which a product that matches the user's sensibilities or preferences is to be installed based on the responses to the questionnaire; generating said selection criteria by analyzing collected responses; An analytical method that performs the above.

13. A response acquisition unit that acquires responses from the user to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions that are not directly related to a space in which the product that the user intends to purchase is to be installed; a selection unit that selects a space that matches the sensibility or preference of the user from the answers acquired by the answer acquisition unit based on a selection criterion for selecting a space in which a product that matches the sensibility or preference of the user will be installed based on the answers to the questionnaire; a presentation unit that presents the space selected by the selection unit to the user; A support device comprising:

14. On the computer, A step of acquiring a user's response to a questionnaire including questions inquiring about the user's impressions or preferences regarding products or expressions that are not directly related to a space in which the product that the user intends to purchase is to be installed; selecting a space that matches the sensibility or taste of the user from the obtained answers based on a selection criterion for selecting a space in which a product that matches the sensibility or taste of the user will be installed based on the answers to the questionnaire; presenting the selected space to the user; How to help them carry out their plan.

15. On the computer, A step of collecting responses from a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions that are not directly related to the space in which the product to be selected is to be installed, in order to generate selection criteria for selecting a space in which a product that matches the user's sensibilities or preferences is to be installed based on the responses to the questionnaire; generating said selection criteria by analyzing collected responses; An analysis program that runs

16. An analysis device that collects and analyzes information related to a user's sensitivities; a support device that supports a user in selecting a space in which a product that matches the user's sensibility or preference will be installed based on an analysis result by the analysis device; Equipped with The analysis device comprises: A response collection unit that collects responses from a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions that are not directly related to a space in which the product to be selected is installed; a selection criteria generation unit that generates selection criteria for selecting a space in which a product that matches a user's sensibility or preference is to be installed based on the answers to the questionnaire by analyzing the answers collected by the answer collection unit; Equipped with The support device includes: an answer acquisition unit that acquires answers from users to the questionnaire; a selection unit that selects a space that matches the sensibility or preference of the user from the answers acquired by the answer acquisition unit based on the selection criteria; a presentation unit that presents the space selected by the selection unit to the user; A support system comprising:

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