Support system, support device, support method, and support program
Patent Information
- Application Number
- JP2025039873
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-03-13
- Publication Date
- 2025-06-06
AI Technical Summary
Existing methods for assisting customers in selecting goods based on their hobbies and preferences are limited, as customers often fail to grasp their own sensibilities and lifestyles, leading to unsuitable product proposals.
A support system comprising an analysis device that collects and analyzes user sensibility information and a support device that selects products or spaces matching the user's sensibility or preference based on the analysis results, using a questionnaire that includes questions about impressions and preferences related to products or expressions not directly related to the target product.
The system effectively improves user convenience by enabling the discovery of products that match individual sensibilities and preferences, leading to the creation of a living space with high sensory value suitable for the user.
Smart Images
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Abstract
Description
Technical Field
[0001] This disclosure relates to technologies for assisting purchasers of goods.
Background Art
[0002] In order to create a living space suitable for the customer's hobbies and preferences, various methods for grasping the customer's hobbies and preferences are used. For example, Patent Document 1 proposes a concept of living suitable for the customer from the questionnaire results asking about the desires for 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 often do not grasp their own sensibilities and lifestyles, the inventors recognized as a problem that the method described in Patent Document 1 cannot propose something truly suitable for the customer or draw out potential needs.
[0005] This disclosure is made in view of such problems, and its object is to provide a technology for improving the convenience of users who intend to purchase goods.
Means for Solving the Problems
[0006] To solve the above problems, a support system according to an aspect of the present disclosure includes an analysis device that collects and analyzes information regarding a user's sensibility, and a support device that supports the selection of a product suitable for the user's sensibility or preference based on the analysis result by the analysis device. The analysis device includes a response collection unit that collects responses of a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions not directly related to the product to be selected, and a selection criterion generation unit that generates a selection criterion for selecting a product or a space where the product is installed that matches the user's sensibility or preference based on the responses to the questionnaire by analyzing the responses collected by the response collection unit. The support device includes a response acquisition unit that acquires the user's responses to the questionnaire, a selection unit that selects a product or a space that matches the user's sensibility or preference from the responses acquired by the response acquisition unit based on the selection criterion, and a presentation unit that presents the product or the space selected by the selection unit to the user.
[0007] Another aspect of the present disclosure is an analysis device. This device includes a response collection unit that collects responses of a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions not directly related to the product to be selected, and a selection criterion generation unit that generates a selection criterion by analyzing the responses collected by the response collection unit for generating a selection criterion for selecting a product or a space where the product is installed that matches the user's sensibility or preference based on the responses to the questionnaire.
[0008] Yet another aspect of the present disclosure is an analysis method. This method causes a computer to execute a step of collecting responses of a plurality of users to a questionnaire including questions asking about the user's impressions or preferences regarding products or expressions not directly related to the product to be selected for generating a selection criterion for selecting a product or a space where the product is installed that matches the user's sensibility or preference based on the responses to the questionnaire, and a step of generating the selection criterion by analyzing the collected responses.
[0009] Yet another aspect of the present disclosure is a support device. The device includes a response acquisition unit that acquires a user's response to a questionnaire including questions about the user's impressions or preferences regarding products or expressions not directly related to the product the user intends to purchase, a selection unit that selects a product or a space where a product is installed that matches the user's sensibility or preference based on a selection criterion for selecting a product or a space that matches the user's sensibility or preference based on the response to the questionnaire from the responses acquired by the response acquisition unit, 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. The method includes a step of causing a computer to acquire a user's response to a questionnaire including questions about the user's impressions or preferences regarding products or expressions not directly related to the product the user intends to purchase, a step of selecting a product or a space that matches the user's sensibility or preference from the acquired responses based on a selection criterion for selecting a product or a space where a product is installed that matches the user's sensibility or preference based on the response to the questionnaire, and a step of presenting the selected product or space to the user.
[0011] Note that any combination of the above components, and those obtained by converting the expression of the present invention among a method, an apparatus, a system, a recording medium, a computer program, etc., are also effective as aspects of the present invention.
Brief Description of the Drawings
[0012]
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Embodiments for Carrying Out the Invention
[0013] As an embodiment of the present disclosure, a technology for supporting the selection of products that match the user's sensibility and preferences will be described. The support system of this embodiment conducts a questionnaire including questions asking about the user's impressions and preferences regarding objects, spaces, words, etc., and automatically selects (selects out) products that match the quantified user's sensibility based on the user's answers to the questionnaire and presents them to the user. Thereby, the user can discover products that match their own sensibility and preferences from among a large number of products by simply answering a simple questionnaire. Further, according to the support system of this embodiment, when the user purchases a house, renovates or renovates a living space, or purchases a plurality of products arranged in the living space at the same time, by proposing a plurality of products that match the user's sensibility and preferences, it is possible to provide a living space with a high sensory value suitable for the user.
[0014] Figure 1 shows the configuration of the support system 10 according to the embodiment. The support system 10 includes a sentiment information analysis device 100 that collects and analyzes information related to the user's sentiment, a product purchase support device 200 that supports the selection of products that match the user's sentiment or preference based on the analysis result by the sentiment information analysis device 100, a user terminal 300 used by the user, a product information providing device 400 that provides information about the product, and the Internet 20 which is an example of a communication means for connecting them.
[0015] The sentiment information analysis device 100 conducts a questionnaire for collecting information related to the user's sentiment and collects answers to the questionnaire from a plurality of users. The sentiment information analysis device 100 generates a selection criterion for selecting products that match the user's sentiment or preference based on the answers to the questionnaire by analyzing the collected answers. The sentiment information analysis device 100 provides the generated selection criterion to the product purchase support device 200.
[0016] The product purchase support device 200 conducts a questionnaire for obtaining information related to the user's sentiment and obtains answers to the questionnaire from the user terminal 300. The product purchase support device 200 selects products or spaces where the products are installed that match the user's sentiment or preference from the obtained answers based on the selection criterion obtained from the sentiment information analysis device 100 and presents them to the user terminal 300.
[0017] The product information providing device 400 provides the user terminal 300 with information about the 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 information about the products to the user terminal 300 via a web page.
[0018] Figure 2 shows the functional blocks of the sensory information analysis device 100 according to the embodiment. Each block can be realized by elements and circuits such as a CPU and a memory in terms of hardware, and can be realized by a computer program or the like in terms of software. Here, the functional blocks realized by their cooperation are depicted. These functional blocks can be realized in various ways by a combination of hardware and software. The same applies to the following block diagrams.
[0019] The sensory 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 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. A physical adjective that describes the state or impression of an object, or a score of a sensory word that represents human sensibility, is assigned to each of the options. The response holding unit 152 holds the user's response to the questionnaire. The user database 153 stores information about the users who have answered the questionnaire. The user database 153 may store attribute information such as the age, gender, occupation, hobby, family composition, and place of residence of the user.
[0022] Figure 3 shows examples of physical adjectives and emotional adjectives. Physical adjectives are adjectives, adjectival verbs, etc. that describe the state or impression of an object, such as "bright," "shiny," "warm." Emotional adjectives are adjectives, adjectival verbs, etc. that are recalled in response to emotions evoked by external events, etc. by humans. Emotional adjectives are classified into multiple hierarchies. Lower-order emotions represent the characteristics and tendencies of human senses, perceptions, and their recognition and interpretation, such as "a sense of familiarity," "soothing," "urban." Higher-order emotions are emotions that function as the result of integrating multiple lower-order emotions, such as "a sense of specialness."
[0023] Lower-order emotions are emotions that many people can commonly recall, to some extent, for a certain object, and are relatively easy to quantify by means of a questionnaire or the like. In contrast, higher-order emotions are emotions that are strongly influenced by background knowledge and the recognition of various peripheral situations, and thus can vary greatly from person to person and depending on the timing, and are difficult to quantify. For example, it is considered that many people recall emotions such as "urban," "refined," "elegant" for the bathroom of a luxury hotel, and emotions such as "a sense of familiarity," "soothing," "natural" for the bathroom of a shabby hotel. However, since it varies from person to person how much importance is attached to the values represented by the former lower-order emotional adjectives and the values represented by the latter lower-order emotional adjectives, it is difficult to directly ask a question about "a sense of specialness" and have the user quantify it themselves. Also, there are cases where the user may not be aware of when they feel "a sense of specialness."
[0024] In the present embodiment, as shown in FIG. 3, in order to quantify higher-order emotions, a questionnaire including answer options to which scores of emotional adjectives representing a plurality of lower-order emotions constituting the higher-order emotions are assigned is conducted. As a result, the higher-order emotions of the user can be quantified and grasped, so that products and spaces that match the user's emotions and preferences can be accurately selected. Also, since the user only needs to answer a questionnaire that is easy to answer and products and spaces that match the user's emotions and preferences are presented, the convenience of the user can be improved.
[0025] Figs. 4(a), (b), and (c) show examples of questionnaires implemented by the sensory information analysis device 100. Fig. 4(a) shows a question that presents an image of a living space and asks about the impression thereof. For lower-order sensory words such as "affectionate" and "soothing", and physical adjectives such as "bright" and "warm", response options from "not at all" to "very much" in five levels are given. The differences in impressions for each user regarding the same image of the living space are reflected in the responses to this question. Note that the response options may be given in any number of levels, such as two levels or seven levels.
[0026] Fig. 4(b) shows a question that presents a plurality of words and asks about the image of a desired product. Lower-order sensory words such as "affectionate" and "soothing", and physical adjectives such as "bright" and "warm" are given as response options, and up to three can be selected. The responses to this question reflect the sensibilities and impressions that the user values in product selection.
[0027] Fig. 4(c) shows a question that presents a plurality of watches and asks about the watch that suits the preference. A score of lower-order sensory words and physical adjectives is assigned to each of the plurality of watches. For example, for a high-end brand wristwatch, high scores are assigned to words such as "refined" and "elegant", and low scores are assigned to words such as "affectionate" and "uneven". By using, as response options, products in a category where the user's sensibilities and preferences are likely to appear, although not directly related to the target product that the user intends to purchase, it is possible to make it easier for the user to answer and obtain responses that more strongly reflect the user's sensibilities and preferences. The products used as response options may be products that are more frequently used by the user in daily life. For example, the response options may be clothing, accessories, daily necessities, etc. Also, the response options may be products arranged in the living space. For example, the response options may be curtains, carpets, ornaments, etc. Also, the response options may be images of the living space, building materials such as interior materials, etc. Also, the response options may be not the products themselves, but abstract expressions not directly related to the target product, such as colors and pattern designs.
[0028] Returning to FIG. 2, the control unit 110 includes a questionnaire presentation unit 111, a response collection unit 112, a response analysis unit 113, a selection criterion generation unit 114, and a selection criterion providing 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 responses to the questionnaire transmitted from the user terminal 300 and stores them in the response storage unit 152.
[0030] The response analysis unit 113 analyzes the responses held in the response storage unit 152. For example, the response analysis unit 113 may extract common factors by performing factor analysis on the responses quantified by scores, and calculate the factor scores of the extracted common factors for each cluster of users, thereby grasping the trends of the sensibilities and preferences for each cluster. For example, as "special feelings", users may be classified into cluster A that values "non-daily", cluster B that values "elegance", cluster C that values "comfort", etc. The response analysis unit 113 may analyze the responses by means of statistical processing or machine learning such as regression analysis, multiple regression analysis, principal component analysis, classification, clustering, and dimensionality reduction.
[0031] Based on the analysis results by the response analysis unit 113, the selection criterion generation unit 114 generates selection criteria for selecting products or spaces that match the sensibilities or preferences of the users from the responses of the users to the questionnaire. The selection criteria may include calculation criteria for quantifying the sensibilities of the users from the responses to the questionnaire. This calculation criterion may be a mathematical formula or the like for quantifying the sensibilities of the users based on the scores assigned to the options answered by the users. The selection criteria may include criteria for determining to which of a plurality of categories classified according to the tendency of preferences the user belongs, and for selecting products corresponding to the determined category. The selection criteria may include criteria for calculating the similarity between the quantified sensibilities of the users and the scores assigned to the products or spaces, and for selecting products with a high calculated similarity.
[0032] The selection criterion providing unit 115 provides the selection criterion generated by the selection criterion generation unit 114 to the product purchase support device 200 via the Internet 20.
[0033] FIG. 5 shows a functional block of the product purchase support device 200 according to the embodiment. These functional blocks can be realized in various modes by a combination of hardware and software.
[0034] The product purchase support device 200 includes 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 wired or wireless communication technology.
[0035] The storage device 250 includes a questionnaire holding unit 251, a selection criterion holding unit 252, and a product information database 253.
[0036] The questionnaire holding unit 251 holds the questionnaire data provided from the sensory information analysis device 100. The selection criterion holding unit 252 holds the selection criterion provided from the sensory 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 such as information about the space where the product is placed and images. The space may be, for example, a living room, a bedroom, a bathroom, a toilet, a kitchen, a living room, etc.
[0037] The control unit 210 includes a questionnaire presenting unit 211, an answer acquisition unit 212, a space selection unit 213, a product selection unit 214, a presenting unit 215, a selection reception unit 216, a product information acquisition unit 217, a scoring unit 218, a product classification unit 219, an answer transmission unit 220, a selection result transmission unit 221, and a selection criterion update unit 222.
[0038] The questionnaire presentation unit 211 presents the questionnaire questions and answer options held in the questionnaire storage unit 251 to the user terminal 300. The answer acquisition unit 212 acquires the user's answers to the questionnaire from the user terminal 300.
[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 held in the selection criteria storage unit 252. The presentation unit 215 reads out the image of the space selected by the space selection unit 213 from the product information database 253 and presents it to the user terminal 300.
[0040] The product selection unit 214 selects a product that matches the user's sensibility or preference from the answers acquired by the answer acquisition unit 212 based on the selection criteria held in the selection criteria storage unit 252. The presentation unit 215 reads out the information of the product 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 space or product selection candidates presented to the user terminal 300 by the presentation unit 215.
[0042] The product information acquisition unit 217 acquires information about the product from the product information providing device 400 and stores it in the product information database 253.
[0043] The scoring unit 218 assigns scores of low-order sensory words and physical adjectives to the 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 the input of scores from a person in charge or the like and assign them to the products, or may assign scores generated by an artificial intelligence or the like for automatically generating scores from the information related to the products to the products. The artificial intelligence may be learned by supervised learning using the information related to the products and the scores assigned by a person in charge or the like as learning data. The scoring unit 218 may conduct a questionnaire on the products and assign scores generated by analyzing the answers to the questionnaire to the products. The assigned scores may be used to calculate the similarity between the digitized user sensibility from the questionnaire answers and the scores assigned to the products or spaces, and to select products with high calculated similarity.
[0044] The product classification unit 219 classifies the products whose information is stored in the product information database 253. When the selection criteria for selecting the products corresponding to the determined category are applied, that is, when it is determined which of the plurality of categories classified according to the preference tendency the user belongs to, the product classification unit 219 may classify the products by category. The product classification unit 219 may accept the input of the category to which the product belongs from a person in charge or the like and classify the products, or may classify the products into the categories determined by an artificial intelligence or the like for automatically determining the category from the information related to the products. The artificial intelligence may be learned by supervised learning using the information related to the products and the categories classified by a person in charge or the like as learning data.
[0045] The response transmission unit 220 transmits the user's response to the questionnaire acquired by the response acquisition unit 212 to the sentiment information analysis device 100. The selection result transmission unit 221 transmits the user's selection result received by the selection reception unit 216 to the sentiment information analysis device 100. The transmitted information may be used for further analysis by the response analysis unit 113 in the sentiment information analysis device 100, or may be used for the generation or update of the selection criteria by the selection criteria generation unit 114. Also, in the sentiment information analysis device 100, it may be used to update the score assigned to the options of the questionnaire responses.
[0046] The selection criteria update unit 222 acquires the selection criteria updated by the sentiment information analysis device 100 from the sentiment information analysis device 100 and updates the selection criteria holding unit 252.
[0047] FIG. 6 shows an example of a display screen presented by the product purchase support device 200. The space selection unit 213 presents the color, pattern, and shape of the bathroom space that match the user's sentiment and preferences based on the user's response to the questionnaire. The presentation unit 215 presents the physical adjectives and lower-order sentiment words with high scores calculated from the responses as the evaluation results of the user's responses to the questionnaire.
[0048] FIG. 7 shows an example of a display screen presented by the product purchase support device 200. The space selection unit 213 presents the space selected based on the user's response to the questionnaire (see FIG. 4). FIG. 6 serves the function of presenting to the user the selection process that led to the selection of the candidates illustrated in FIG. 7. This function can give persuasive power to the proposal according to FIG. 7 finally presented. When the user selects the image of any selection candidate on the display screen shown in FIG. 7, the space selection unit 213 determines 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 products to be placed in the space where the selection by the user has been finalized. The product selection unit 214 selects products from the product information database 253 that match the user's sensibility and preference and are suitable for the space where the selection has been finalized. For example, the product selection unit 214 selects products such as wall panels, floors, and bathtubs to be placed in the bathroom space. When the user selects any one of the selection candidates on the display screen shown in FIG. 8, the product selection unit 214 finalizes the selection of the product. When any type of product is selected by the user, the product selection unit 214 may reselect candidates for other types of products. For example, the product selection unit 214 may preferentially select products having the same or similar colors, patterns, shapes, designs, physical adjectives, sensibility words, impressions, etc. as the products for which the selection has already been finalized.
[0050] FIG. 9 shows an example of a display screen presented by the product purchase support device 200. When the selection of all the products to be placed in the space is finalized, the presentation unit 215 presents an image of the space where the finalized products are placed to the user. The product purchase support device 200 may obtain information on the finalized products from the product information database 253 or the product information providing device 400 and transmit it to the system for creating an estimate to cause the estimate to be presented to the user.
[0051] FIG. 10 is a flowchart showing the procedure of the analysis method according to the embodiment. The questionnaire presentation unit 111 of the sensibility information analysis device 100 presents a 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 criterion generation unit 114 generates a selection criterion for selecting products or spaces that match the user's sensibility or preference from the user's responses to the questionnaire based on the analysis result by the response analysis unit 113 (S14). The selection criterion providing unit 115 provides the selection criterion generated by the selection criterion generation unit 114 to the product purchase support device 200 (S16).
[0052] FIG. 11 is a flowchart showing the procedure of the support method according to the embodiment. The questionnaire presentation unit 211 of the product purchase support device 200 presents a 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 sensibility or preference from the responses acquired by the response 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 reception unit 216 accepts the user's selection from among the selection candidates of the space presented to the user by the presentation unit 215 and determines the selection (S36).
[0053] The product selection unit 214 selects products that match the user's sensibility or preference 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 reception unit 216 accepts the user's selection from among the selection candidates of the products presented to the user by the presentation unit 215 and determines the selection (S42). If there are remaining unselected products (N in S44), the product selection unit 214 re-selects other products in accordance with the already selected products (S46), returns to S40, and 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 is 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] As described above, the present invention has been described based on the embodiment, but the embodiment merely shows the principle and application of the present invention. Also, in the embodiment, many modifications and arrangement changes are possible without departing from the idea of the present invention defined in the claims.
[0055] In the embodiment, an example in which the sensory information analysis device 100 and the product purchase support device 200 are realized as separate devices has been described. However, these devices may be realized by a single device. Further, the product information providing device 400 and the product purchase support device 200 may be realized by a single device. Further, the sensory information analysis device 100, the product purchase support device 200, and the product information providing device 400 may be realized by a single device. Part or all of the functions of the sensory information analysis device 100, the product purchase support device 200, or the product information providing device 400 may be realized by an application or the like executed on the user terminal 300. 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 Signs
[0056] 10 Support system, 20 Internet, 100 Sensory information analysis device, 111 Questionnaire presentation unit, 112 Response collection unit, 113 Response analysis unit, 114 Selection criterion generation unit, 115 Selection criterion providing unit, 151 Questionnaire holding unit, 152 Response holding 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 criterion update unit, 251 Questionnaire holding unit, 252 Selection criterion holding unit, 253 Product information database, 300 User terminal, 400 Product information providing device.
Claims
1. 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 that are not directly related to a space in which the product that the user intends to purchase is to be installed; presenting to the user a space that matches the sensibility or preference of the user from the obtained answers based on the answers to the questionnaire; A support program to implement the above.
2. 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; presenting to the user products or spaces that match the sensibilities or tastes of the user from the obtained answers based on selection criteria for selecting products or spaces that match the sensibilities or tastes of the user based on the answers to the questionnaire; Run the command, In the presenting step, at least one of an image of a space that matches the sensibility or taste of the user and information on a product that matches the space is presented to the user. Support programs.
3. In the presenting step, a product or space that matches the sensibility or taste of the user is presented to the user from the obtained answers based on a selection criterion for selecting a space that matches the sensibility or taste of the user. The support program according to claim 1 or 2.
4. In the step of presenting, images of a plurality of spaces that match the sensibility or taste of the user are presented to the user. The support program according to any one of claims 1 to 3.
5. In the presenting step, information about a plurality of products suitable for the space is presented to the user. The support program according to any one of claims 1 to 4.
6. The questionnaire further includes questions inquiring 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 5.
7. In the step of presenting, 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 6.
8. A response acquisition unit that acquires a user's response 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 a product that the user is about to purchase is installed; a presentation unit that presents to the user a space that matches the sensibility or preference of the user from the answers to the questionnaire acquired by the answer acquisition unit; A support device comprising:
9. A response acquisition unit that acquires 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 the product that the user is about to purchase; a presentation unit that presents to the user products or spaces that match the sensibilities or preferences of the user from the acquired answers based on the answers to the questionnaire; Equipped with The presentation unit presents to the user at least one of an image of a space that matches the sensibility or preference of the user and information on a product that matches the space. Support equipment.
10. 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 that matches the user's sensibility or preference based on the 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 users' impressions or preferences regarding products or expressions that are not directly related to the space; a selection criterion generating unit that generates selection criteria for selecting a space that matches a user's sensibility or preferences based on the answers to the questionnaire by analyzing the answers collected by the answer collecting unit; Equipped with The support device includes: an answer acquisition unit that acquires answers from users to the questionnaire; a presentation unit that presents to the user 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 support system comprising:
11. An analysis device that collects and analyzes information regarding a user's sensitivities; a support device that supports a user in selecting a product that matches the user's sensibility or preference based on the 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 users' impressions or preferences regarding products or expressions that are not directly related to a space in which the products are installed; a selection criterion generating unit that generates selection criteria for selecting a space that matches a user's sensibility or preferences based on the answers to the questionnaire by analyzing the answers collected by the answer collecting unit; Equipped with The support device includes: an answer acquisition unit that acquires answers from users to the questionnaire; a presentation unit that presents to the user products or spaces that match the sensibilities or preferences of the user from the answers acquired by the answer acquisition unit based on the selection criteria; Equipped with The presentation unit presents to the user at least one of an image of a space that matches the sensibility or preference of the user and information on a product that matches the space. Support system.
12. 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 that are not directly related to a space in which the product that the user intends to purchase is to be installed; presenting to the user a space that matches the sensibility or preference of the user from the obtained answers based on the answers to the questionnaire; How to help them carry out their plan.