JP6771143B2 - Space plan proposal system - Google Patents

Description

The present invention relates to a space plan proposal system.

Conventionally, in order to build an interior that meets the needs of users (customers), specialized advisors have proposed interiors for living spaces. Further, in order to support the proposal of the interior, the interior coordination support device described in Patent Document 1 and the like are known.

Japanese Unexamined Patent Publication No. 2001-142924

However, when a professional adviser makes an interior proposal, whether or not it suits the user's taste depends on the ability of the adviser. Therefore, when there is no appropriate advisor, it is not possible to propose an interior that suits the user's taste.

Further, in the interior coordination support device described in Patent Document 1, images of a plurality of typical spaces corresponding to a plurality of themes are displayed. Therefore, when the ideal space image of the user is ambiguous, one image is displayed. Is difficult to choose.

Therefore, an object of the present invention is to provide a space plan proposal system that can propose a space plan that suits a user's taste without a specialized advisor.

In order to achieve the above object, the space plan proposal system according to one aspect of the present invention includes an acquisition unit that acquires attribute information indicating at least one of the demographic data, lifestyle, and values of the target user, and the acquisition unit. Based on the attribute information acquired by the target user, the preference estimation unit that estimates the preference characteristics of the target user, and the physical properties of the preference space that the target user prefers based on the preference characteristics estimated by the preference estimation unit. It is provided with a space plan estimation unit that estimates a space plan representing the above, and a presentation unit that presents the space plan estimated by the space plan estimation unit to the target user.

According to the space plan proposal system according to the present invention, it is possible to propose a space plan that suits the user's taste without a specialized advisor.

It is a block diagram which shows the functional structure of the space plan proposal system which concerns on embodiment. It is a figure which shows an example of the preference characteristic database which concerns on embodiment. It is a figure which shows an example of the preference space database which concerns on embodiment. It is a figure which shows the example of the questionnaire used when constructing the preference space database which concerns on embodiment. It is a figure which shows an example of the physical property database which concerns on embodiment. It is a figure which shows another example of the space plan database which concerns on embodiment. It is a figure which shows an example of the product database which concerns on embodiment. It is a flowchart which shows the operation of the space plan proposal system which concerns on embodiment. It is a flowchart which shows the estimation process of the space plan by the space plan proposal system which concerns on embodiment. It is a figure which shows the example of the input screen for the user to input the demographic data in the space plan proposal system which concerns on embodiment. It is a figure which shows the example of the input screen for the user to input the lifestyle and the sense of values in the space plan proposal system which concerns on embodiment. It is a figure which shows the display screen example which displays the text which shows the physical property of the space plan which concerns on embodiment. It is a figure which shows the display screen example which displays the image which shows the preference space of the space plan which concerns on embodiment. It is a figure which shows the display screen example which displays the product list of the space plan which concerns on embodiment.

Hereinafter, the space plan proposal system according to the embodiment of the present invention will be described in detail with reference to the drawings. In addition, all the embodiments described below show a specific example of the present invention. Therefore, the numerical values, shapes, materials, components, arrangement and connection forms of the components, steps, the order of steps, etc. shown in the following embodiments are examples, and are not intended to limit the present invention. Therefore, among the components in the following embodiments, the components not described in the independent claims indicating the highest level concept of the present invention will be described as arbitrary components.

Further, each figure is a schematic view and is not necessarily exactly illustrated. Therefore, for example, the scales and the like do not always match in each figure. Further, in each figure, substantially the same configuration is designated by the same reference numerals, and duplicate description will be omitted or simplified.

(Embodiment)
[Constitution]
First, the configuration of the space plan proposal system according to the present embodiment will be described with reference to FIG. FIG. 1 is a block diagram showing a functional configuration of the space plan proposal system 1 according to the present embodiment.

The space plan proposal system 1 is a system that proposes a space plan that suits the taste of the user 2 based on the attribute information of the user 2. User 2 is a target user who receives a proposal for a spatial plan. As shown in FIG. 1, the space plan proposal system 1 includes an operation terminal 10 and a server device 20.

The operation terminal 10 is a terminal operated by the user 2, and is, for example, a mobile terminal such as a smartphone, a mobile phone or a tablet terminal, or a personal computer (PC). The operation terminal 10 receives input from the user 2 such as attribute information such as demographic data and evaluation of the spatial plan. Further, the operation terminal 10 presents the space plan and the like to the user 2. In the present embodiment, as shown in FIG. 1, the operation terminal 10 includes an acquisition unit 11, a presentation unit 12, and an evaluation unit 13.

The server device 20 is, for example, a computer device. The server device 20 transmits and receives each information to and from the operation terminal 10 by communicating with the operation terminal 10. Specifically, the server device 20 receives the attribute information and the like input by the user 2 from the operation terminal 10, and transmits the spatial plan estimated based on the received attribute information to the operation terminal 10. In the present embodiment, as shown in FIG. 2, the server device 20 includes a preference estimation unit 21, a space plan estimation unit 22, a storage unit 23, and an update unit 24.

Although not shown, the operation terminal 10 and the server device 20 each include a communication unit that communicates with each other. The communication unit performs wireless communication via a network such as Wi-Fi (registered trademark). As a result, various information can be transmitted and received between the operation terminal 10 and the server device 20. The communication is not limited to wireless, but may be wired.

Hereinafter, the details of each component included in the space plan proposal system 1 will be described.

[Acquisition department]
The acquisition unit 11 acquires attribute information. Specifically, the acquisition unit 11 acquires the input attribute information by accepting the input of the attribute information from the user 2.

The attribute information is information indicating at least one of the demographic data, lifestyle, and values of the user 2. Demographic data is demographic data such as age, gender, place of residence, family structure, occupation, etc. of user 2. The lifestyle is information indicating the rhythm of the user 2's life, such as how to spend weekdays and holidays, wake-up time, bedtime, going out time, and home time. The sense of values is a criterion for the user 2 to evaluate things, for example, information such as whether he likes a new one or values an old one.

The acquisition unit 11 is realized by, for example, a touch panel display (which may also be used as the presentation unit 12 and the evaluation unit 13), a physical button, or the like. Specifically, the acquisition unit 11 displays a GUI (Graphical User Interface) object such as a text box or a toggle button on the display 15 (see FIG. 9 or the like described later) to input attribute information from the user 2. Accept. The acquisition unit 11 may acquire attribute information by acquiring and analyzing the voice uttered by the user 2, which is realized by a microphone or the like.

[Presentation section]
The presentation unit 12 presents the space plan estimated by the space plan estimation unit 22 to the user 2. In the present embodiment, the presentation unit 12 presents a space plan by displaying an image representing the preference space preferred by the user 2 and a text representing the physical property of the preference space. Further, when the space plan includes the product list, the presentation unit 12 may display the product list. An example of the presentation of the space plan by the presentation unit 12 will be described later with reference to the drawings.

In addition, the presentation unit 12 displays an input screen for causing the user 2 to input the attribute information. The presentation unit 12 further displays an evaluation screen for the user 2 to evaluate the presented space plan. These screen examples will also be described later with reference to the drawings.

The presentation unit 12 is realized by, for example, a display such as a liquid crystal display device or an organic EL (Electro Luminescence) display device included in the operation terminal 10. The presentation unit 12 may be realized by a speaker element or the like, and the space plan may be presented to the user 2 as voice guidance.

[Evaluation Department]
The evaluation unit 13 accepts the evaluation by the user 2 for the space plan presented by the presentation unit 12. The evaluation by the user 2 is performed by the user 2 selecting one of the two options of "liked" or "disliked" the space plan. Alternatively, the evaluation by the user 2 may be an evaluation represented by a numerical value such as a 5-grade evaluation, a 10-grade evaluation, or a 100-grade evaluation.

Similar to the acquisition unit 11, the evaluation unit 13 is realized by, for example, a touch panel display, a physical button, or the like. Specifically, the evaluation unit 13 accepts the evaluation by the user 2 for the spatial plan by displaying the GUI object on the display 15. Similar to the acquisition unit 11, the evaluation unit 13 may be realized by a microphone or the like.

[Preference estimation department]
The preference estimation unit 21 estimates the preference characteristics of the user 2 based on the attribute information acquired by the acquisition unit 11. In the present embodiment, the preference estimation unit 21 estimates the preference characteristics of the user 2 by referring to the preference characteristic database 31.

Specifically, the preference estimation unit 21 clusters the preference characteristics of the user 2 based on the attribute information of the user 2. For example, the preference characteristic database 31 stores a plurality of types (person types) of preference characteristics classified in advance (see FIG. 2). The preference estimation unit 21 estimates which type of the plurality of preference characteristics the user 2's preference characteristics are included in by performing clustering using the attribute information. Examples of types of preference traits include "I like flashy things", "I like simple things", and "I like calm things".

As a clustering method, for example, general cluster analysis can be used. For example, each of a plurality of items of the attribute information of the user 2 is regarded as one vector, and clustering is performed based on the similarity of the vectors. The attribute information items include demographic data items such as age and gender, and questionnaire items asking about lifestyle habits. Details will be described later.

In the present embodiment, the preference estimation unit 21 determines the type (person type) of the preference characteristic of the user 2 by performing clustering. The preference information indicating the determined type of preference characteristic is output to the spatial plan estimation unit 22.

The preference estimation unit 21 may include, for example, a non-volatile memory in which the preference estimation program is stored, a volatile memory which is a temporary storage area for executing the preference estimation program, an input / output port, a processor for executing the preference estimation program, and the like. It is realized by.

[Spatial plan estimation unit]
The space plan estimation unit 22 estimates a space plan representing the physical properties of the preference space preferred by the user 2 based on the preference characteristics estimated by the preference estimation unit 21. Specifically, the space plan estimation unit 22 estimates the space plan by referring to the space plan database 32.

The space plan is information representing the physical properties of the preference space preferred by the user 2. For example, the spatial plan includes image information representing a preferred space preferred by the user 2 and text information representing a physical property. In the present embodiment, the space plan further includes a product list showing one or more products associated with the physical properties of the preference space. The products shown in the product list are products used to realize a favorite space in a real space such as a real room. For example, the product shown in the product list is a product shown in a photograph showing a preference space, or a substitute product having the same physical properties as this product.

In the present embodiment, as shown in FIG. 1, the spatial plan database 32 includes two databases, a preference space database 32a and a physical property database 32b. Therefore, the space plan estimation unit 22 performs the estimation process of the physical properties of the space plan in two stages.

Specifically, the space plan estimation unit 22 extracts one or more preference spaces based on the preference characteristics of the user 2 by referring to the preference space database 32a. The space plan estimation unit 22 extracts the physical properties associated with the extracted one or more preference spaces by referring to the physical property database 32b.

In the present embodiment, the space plan estimation unit 22 further extracts one or more products associated with the extracted physical properties by referring to the product database 33. The space plan estimation unit 22 generates a product list showing one or more extracted products. In this way, the space plan estimation unit 22 estimates the space plan including the physical properties of the preference space and the product list.

When the space plan estimation unit 22 estimates a plurality of space plans that match the preference characteristics of the user 2, the space plan estimation unit 22 may assign priorities to the plurality of space plans based on a predetermined standard. As a result, the presentation unit 12 can present the presented space plan in order of priority from the one with the highest priority until the user 2 likes the presented space plan.

The criteria for assigning priorities include, for example, when the person type representing the preference characteristic of user 2 includes a plurality of conditions, the criteria based on the number of the plurality of conditions, or the criteria for the plurality of conditions. There are criteria based on importance. For example, when a person type includes a plurality of conditions, a high priority can be assigned to a space plan having a large number of the plurality of conditions. Alternatively, a high priority may be assigned to a space plan that satisfies the most important condition among the plurality of conditions.

The space plan estimation unit 22 has, for example, a non-volatile memory in which the space plan estimation program is stored, a volatile memory which is a temporary storage area for executing the space plan estimation program, an input / output port, and a space plan estimation program. It is realized by the processor that executes it.

[Memory]
The storage unit 23 is a memory for storing information for estimating the spatial plan presented to the user 2. The storage unit 23 is composed of, for example, a non-volatile memory such as an HDD (Hard Disk Drive) or a semiconductor memory.

As shown in FIG. 1, the storage unit 23 stores the preference characteristic database 31, the spatial plan database 32, and the product database 33. Details of each database will be described later with reference to the drawings.

[Update section]
The update unit 24 updates the database stored in the storage unit 23 based on the evaluation received by the evaluation unit 13. Specifically, the update unit 24 updates at least one of the preference characteristic database 31, the spatial plan database 32, and the product database 33.

For example, the update unit 24 updates the preference space database 32a based on the evaluation of the user 2. When the user 2 evaluates the presented space plan as "liked", the update unit 24 raises the importance of the preference space associated with the preference characteristics of the user 2. This makes it possible to propose a space plan that is more suitable for the preference of the user 2 at the time of the second and subsequent proposals or the proposal to another user 2.

Further, the evaluation result by the user 2 may be accumulated in each database. The update unit 24 updates the evaluation result of each database based on the evaluation of the user 2. As a result, for example, in each of the plurality of spatial plans, evaluations by users such as spatial plans that are liked by many users with predetermined preference characteristics or plans that are not liked are accumulated.

For example, in the preference space database 32a, evaluations such that a predetermined preference space is liked by a user with a specific preference characteristic but not liked by a user with another preference characteristic are accumulated. Based on these evaluation results, the importance of the preference space can be assigned to each type of preference characteristic. The same applies not only to the preference space but also to the physical properties. For example, in the physical property database 32b, evaluations that a predetermined physical property is liked by a user with a specific preference characteristic but not by a user with another preference characteristic may be accumulated.

Further, the update unit 24 may update the preference characteristic database 31 based on the estimation result by the preference estimation unit 21. Specifically, the update unit 24 may update the representative value based on the result of clustering the attribute information acquired by the acquisition unit 11 as new data.

[Preference characteristic database]
FIG. 2 is a diagram showing an example of the preference characteristic database 31 according to the present embodiment.

The preference characteristic database 31 is a database related to preference characteristics constructed based on the attribute information of a plurality of users. Specifically, as shown in FIG. 2, in the preference characteristic database 31, a person type indicating the type of preference characteristic of a user and a representative value are associated with each other.

The person type shows characteristic preference characteristics classified by statistically analyzing the attribute information of a plurality of users. Specifically, the person type indicates a plurality of subsets (hereinafter referred to as clusters) obtained by clustering the attribute information of a plurality of users. Here, the person type is represented by identification information such as "H01". The clustering method is not particularly limited. For example, clustering is performed after compressing the dimensions of the vector by principal component analysis.

The representative value is, for example, the representative value of the corresponding cluster. The representative value may include the principal component score.

The preference characteristic database 31 may further store a calculation library or the like used for clustering. The calculation library is, for example, parameters used for principal component analysis. The calculation library may be held by the preference estimation unit 21.

In FIG. 2, the characteristics of the human type are described as explanations so that specific examples of the human type can be easily understood, but the characteristics may not be stored in the preference characteristic database 31.

[Spatial plan database]
The spatial plan database 32 is a database relating to the physical properties of each of the plurality of preference spaces, which is constructed based on the preference characteristics of the plurality of users. In the present embodiment, as shown in FIG. 1, the spatial plan database 32 includes a preference space database 32a and a physical property database 32b.

FIG. 3 is a diagram showing an example of the preference space database 32a according to the present embodiment.

In the preference space database 32a, a person type and a favorite space group are associated with each other. The person type is the same as the person type stored in the preference characteristic database 31 shown in FIG. In the present embodiment, one or more preference spaces (that is, preference space groups) preferred by users classified into the person type are associated with each person type. The preference space is represented by identification information such as "S01".

The preference space database 32a is a database related to the preference space constructed based on the preference characteristics of a plurality of users. In the present embodiment, the preference space database 32a is constructed by determining the preference space preferred by each of the plurality of users for each person type shown in FIG. For example, a questionnaire survey shown in FIG. 4 is performed on a plurality of users whose person types (preference characteristics) are known, and the results of the questionnaire are collected.

FIG. 4 is a diagram showing an example of a questionnaire used when constructing the preference space database 32a according to the present embodiment.

The questionnaire shown in FIG. 4 is organized in a table format. Specifically, a plurality of questionnaire items are displayed in the column direction, and answer options for each of the plurality of questionnaire items are displayed in the row direction. The questionnaire shown in FIG. 4 is a questionnaire for collecting SD (Semantic Differential) evaluation results for a plurality of adjective pairs. The questionnaire items are shown, for example, by a plurality of adjective pairs representing the evaluation scale, and the options are shown in five stages.

Specifically, a user whose person type is known is presented with a space, and the questionnaire shown in FIG. 4 is used to answer the impression of the presented space. As a method of presenting the space to the user, the real space may be actually experienced, or a photograph of the real space may be presented. Further, a CG (Computer Graphics) image may be presented instead of the photograph, or a VR (Virtual Reality) image may be used for the experience.

Similar to the construction of the preference characteristic database 31, each of the answers to the questionnaire is regarded as one vector, and clustering is performed based on the similarity of the vectors. As a result, it is possible to associate the preference space that the user prefers with the person type (preference characteristic) of the user. A preference space database 32a can be constructed by presenting a plurality of spaces to a plurality of users, collecting questionnaire results for each of the plurality of spaces, and clustering the answers.

In addition, the preference space database 32a may further store representative values used for clustering, a library for calculation, and the like. The calculation library may be held by the space plan estimation unit 22.

In the preference space database 32a according to the present embodiment, as shown in FIG. 4, a plurality of preference spaces are associated with one person type. Importance (priority) is attached to the plurality of preference spaces. For example, in FIG. 4, among a plurality of preference spaces included in the preference space group, the space at the top (leftmost) of the list is more important, and the space behind (right) the list is more important. The degree is low.

The importance is prepared as one of the questionnaire items at the time of constructing the preference space database 32a, for example, and can be determined based on the answer. Alternatively, the importance may be determined by a professional advisor such as an interior coordinator or planner.

By assigning importance to a plurality of preference spaces, it is possible to propose a space plan that is more suitable for the preference of the user 2. For example, it is possible to propose a space plan that represents a more flashy space among a plurality of preference spaces to the user 2 who likes flashy things. Alternatively, for the user 2 who likes simple things, it is possible to propose a space plan that represents a more concise space among a plurality of preference spaces. As described above, among a plurality of space plans that match the preference characteristics of the user 2, the space plan that the user 2 prefers more strongly can be preferentially proposed.

FIG. 5 is a diagram showing an example of the physical property database 32b according to the present embodiment.

The physical property database 32b shows the physical properties associated with each of the plurality of preference spaces. The physical properties of the preference space include, for example, the physical properties of the space itself such as the size and size of the preference space, and the form of the article used to realize the preference space. Here, the article is a ceiling material, a building material such as wallpaper, an electric appliance arranged in a favorite space, an interior item such as furniture, and the like. The article is, for example, a commodity included in the commodity database 33.

In the physical property database 32b according to the present embodiment, physical properties are associated with each of the plurality of preference spaces. For example, the physical property database 32b is configured in a table format. As shown in FIG. 5, the preference space is displayed in the column direction, and the physical properties are displayed in the row direction. In the column (data element) where each row and each column intersect, flag information indicating whether or not the preference space has the corresponding physical properties is stored.

In the example shown in FIG. 5, as an example of the flag information, the white circle indicates that the preference space has the corresponding physical properties. For example, the preference space "S01" has the physical properties that a lighting fixture is provided on the ceiling ("ceiling (lighting)") and a large window is provided ("window (large)"). It has been shown to have. Further, in the preference space "S01", it is shown that the floor is not provided with lighting equipment ("lighting (floor)") and that no small window is provided ("window (small)"). ing.

Although not shown in FIG. 5, the physical property database 32b may be associated with an image (sample image) associated with each preference space. The image may be stored in the preference space database 32a.

The preference space database 32a and the physical property database 32b may be integrated and constructed as one database. FIG. 6 is a diagram showing an example of the space plan database 32c according to the present embodiment.

As in the space plan database 32c shown in FIG. 6, the person type and the physical property of the preference space preferred by the user belonging to the person type may be directly associated with each other. At this time, as shown in FIG. 3, a plurality of preference spaces may be associated with the person type. In this case, the person type may not be associated with all of the plurality of physical properties of the plurality of preference spaces.

For example, among a plurality of preference spaces, only physical properties common to preference spaces having a certain threshold value (for example, 50%) or more may be associated with each other. Alternatively, the other person type may be associated with an unassociated physical property.

As a result, the amount of data in the database can be reduced, effective use of memory resources, and efficiency of access to the database can be achieved. Therefore, the estimation process of the spatial plan can be performed in a short period of time.

Further, in the spatial plan database 32c, the importance may be associated with a plurality of physical properties associated with the person type. The importance is used when the spatial plan estimation unit 22 estimates the physical properties.

[Product database]
FIG. 7 is a diagram showing an example of the product database 33 according to the present embodiment.

The product database 33 shows the correspondence between a plurality of physical properties and a plurality of products. The plurality of physical properties are the same as those of the preference space shown in FIG. The plurality of products are examples of products used to realize a preference space.

In the product database 33 according to the present embodiment, physical properties are associated with each of the plurality of products. For example, the product database 33 is configured in a table format. As shown in FIG. 7, the goods are displayed in the column direction and the physical properties are displayed in the row direction. In the column (data element) where each row and each column intersect, flag information indicating whether or not the product has the corresponding physical properties is stored.

In the example shown in FIG. 7, white circles indicate that the goods have the corresponding physical properties. For example, the product "M01" has a physical property indicating that the luminaire is provided on the ceiling. Specifically, the product "M01" is a lighting fixture that can be attached to the ceiling, such as a downlight or a ceiling light. By referring to the physical property database 32b shown in FIG. 5, it can be seen that the product “M01” is a product that can be used in the preference spaces “S01”, “S02”, “Sn” and the like.

As a result, for example, the space plan estimation unit 22 can generate a product list indicating products that can be used in the preference space preferred by the user 2 by referring to the product database 33. The products included in the product list may be all products included in the preference space, or may be only products of high importance.

The product database 33 may be associated with the importance of the product. For example, a product used in more preference spaces may be assigned a higher degree of importance.

[motion]
Subsequently, the operation of the space plan proposal system 1 according to the present embodiment will be described with reference to FIGS. 8A and 8B. FIG. 8A is a flowchart showing the operation of the space plan proposal system 1 according to the present embodiment. FIG. 8B is a flowchart showing the estimation processing of the space plan by the space plan proposal system 1 according to the present embodiment.

First, the acquisition unit 11 acquires the attribute information of the user 2 (S10). Specifically, the acquisition unit 11 displays an input screen for causing the user 2 to input the attribute information on the display.

FIG. 9 is a diagram showing an example of an input screen for the user 2 to input demographic data in the space plan proposal system 1 according to the present embodiment. Specifically, FIG. 9 shows a display 15 included in the operation terminal 10 and an input screen 100 displayed on the display 15.

The input screen 100 includes a plurality of GUI objects for inputting demographic data. Specifically, as shown in FIG. 9, on the input screen 100, a text box 101 for inputting the age of the user 2, a radio button 102 for selecting the gender, and a place of residence are input or selected. A combo box 103 for selecting a household configuration and a radio button 104 for selecting a household configuration are included as GUI objects. The user 2 inputs his / her demographic data by manipulating the GUI object. As a result, the acquisition unit 11 acquires the input demographic data.

FIG. 10 is a diagram showing an example of an input screen for the user 2 to input a lifestyle and a sense of values in the space plan proposal system 1 according to the present embodiment. Specifically, FIG. 10 shows the questionnaire screen 110 displayed on the display 15.

The questionnaire screen 110 is configured in a table format. Specifically, as shown in FIG. 10, a plurality of questionnaire items 111 are displayed in the column direction, and answer options 112 for each of the plurality of questionnaire items 111 are displayed in the row direction. Here, option 112 is shown in five stages.

Further, the questionnaire screen 110 is provided with a number of radio buttons 113 according to the combination of each row and each column. The user 2 selects one of the five options 112 for each questionnaire item 111, and clicks the radio button 113 corresponding to the selected option 112 to input his / her lifestyle and values. As a result, the acquisition unit 11 acquires the lifestyle and values of the user 2.

The number of questionnaire items 111 is not particularly limited. As the number of questionnaire items 111 increases, the troublesomeness of input by the user 2 increases, but the lifestyle and values of the user 2 can be grasped in more detail. Therefore, the accuracy of estimating the preference characteristic of the user 2 can be improved. On the other hand, as the number of questionnaire items 111 is smaller, the accuracy of estimating the preference characteristics of the user 2 is lowered, but the troublesomeness of the input by the user 2 can be reduced. Therefore, the space plan proposal system 1 becomes useful as a highly convenient system for the user 2.

The attribute information input by the user 2 is transmitted from the operation terminal 10 to the server device 20 via the communication unit (not shown). Either the input screen 100 or the questionnaire screen 110 may be displayed first, or only one of them may be displayed. Further, the user 2 does not have to input all the items of the input screen 100 and the questionnaire screen 110, and may input only arbitrary items. The input screen 100 shown in FIG. 9 and the questionnaire screen 110 shown in FIG. 10 are merely examples of means for acquiring attribute information, and are not limited thereto.

Returning to FIG. 8A, the preference estimation unit 21 estimates the preference characteristics of the user 2 (S11). Specifically, the preference estimation unit 21 estimates the preference characteristics of the user 2 by referring to the preference characteristic database 31 based on the attribute information acquired by the acquisition unit 11.

For example, the preference estimation unit 21 regards each of the items of the demographic data and the items of the questionnaire regarding lifestyle and values as one vector, and performs clustering based on the similarity of the vectors. For example, the preference estimation unit 21 compresses the dimension of the vector by principal component analysis and then performs clustering.

As shown in FIG. 2, in the preference characteristic database 31, representative values are associated with each person type, which is a type of preference characteristic. The preference estimation unit 21 clusters the data (new data) corresponding to the attribute information of the user 2 acquired by the acquisition unit 11 by referring to the preference characteristic database 31. As a result, the person type of the user 2 is determined. The determined person type indicates the estimation result of the preference characteristic of the user 2.

If the amount of data in the preference characteristic database 31 is sufficiently large, new data can be easily obtained from the distance between the representative value of each cluster (person type) and the data (new data) corresponding to the attribute information of user 2. The cluster (person type) to which the member belongs may be determined.

In the following, as an example, a case where the preference estimation unit 21 estimates that the preference characteristic of the user 2 is the person type “H01” (that is, the user 2 likes a flashy one) will be described.

Next, the space plan estimation unit 22 estimates the space plan (S12). The estimation of the space plan is roughly divided into a step of estimating the physical property of the preference space preferred by the user 2 and a step of generating a product list showing one or more products suitable for the preference space. In this embodiment, the estimation of physical properties is performed by a two-step process using two databases.

Specifically, as shown in FIG. 8B, first, the space plan estimation unit 22 refers to the preference space database 32a based on the preference characteristics (that is, the person type) estimated by the preference estimation unit 21. , One or more preference spaces preferred by the user 2 are extracted (S20). Specifically, the space plan estimation unit 22 refers to the preference space database 32a shown in FIG. 3, and as a preference space associated with the person type “H01”, the preference spaces “S01”, “S02”, Extract "S08" and the like. At this time, the number of preference spaces to be extracted may be one or all. Alternatively, a predetermined number of preference spaces may be extracted in descending order of importance.

Next, the space plan estimation unit 22 extracts the physical properties of one or more extracted preference spaces by referring to the physical property database 32b (S21). Specifically, the space plan estimation unit 22 refers to the physical property database 32b shown in FIG. 5, and as physical properties associated with the preference space “S01”, “lighting (ceiling)” and “ Extract the "window (large)". Further, the space plan estimation unit 22 extracts "lighting (ceiling)" and "window (small)" as physical properties associated with the preference space "S02". At this time, since the "lighting (ceiling)" is extracted twice, the importance of the "lighting (ceiling)" may be set high.

Next, the spatial plan estimation unit 22 refers to the product database 33 to generate a product list showing one or more products that match the extracted one or more physical properties (S22). Specifically, the space plan estimation unit 22 extracts the products “M01”, “M02”, and “Mn” having the property of “lighting (ceiling)” by referring to the product database 33 shown in FIG. .. Similarly, the space plan estimation unit 22 extracts the product “M03” having the property of “window (large)”. Further, the space plan estimation unit 22 extracts the products “M03” and “Mn” having the property of “window (small)”. Since the products "M03" and "Mn" are extracted twice, their importance may be set high. The space plan estimation unit 22 generates a product list showing a plurality of extracted products.

As described above, the space plan estimation unit 22 estimates (determines) the preference space, the physical properties of the preference space, and the space plan including the product list. The space plan estimated by the space plan estimation unit 22 is transmitted from the server device 20 to the operation terminal 10 via the communication unit (not shown). The space plan to be transmitted includes, for example, an image representing the preference space preferred by the user 2, a text representing the physical properties of the preference space, and a product list.

Next, returning to FIG. 8A, the presentation unit 12 presents the space plan to the user 2 (S13). Specifically, the presentation unit 12 displays an image representing the preference space preferred by the user 2, a text representing the physical property of the preference space, and a product list.

FIG. 11 is a diagram showing an example of a display screen displaying text indicating the physical properties of the space plan according to the present embodiment. Specifically, FIG. 11 shows a physical property display screen 120 displayed on the display 15.

On the physical property display screen 120, text 121 indicating a plurality of physical properties extracted by the space plan estimation unit 22 by referring to the physical property database 32b is displayed. As a result, the user 2 or a specialized advisor can grasp the specific characteristics of the preference space that the user 2 prefers, so that it becomes easy to concretely realize the preference space.

Further, on the physical property display screen 120, an image display button 122 for displaying an image and a product display button 123 for displaying a product list are displayed. When the user 2 selects the image display button 122, an image representing the preference space is displayed. As a result, the space plan can be presented to the user 2 intuitively and easily.

FIG. 12 is a diagram showing an example of a display screen displaying an image showing a preference space of the space plan according to the present embodiment. Specifically, FIG. 12 shows an image display screen 130 displayed on the display 15.

An image 131 representing a preference space is displayed on the image display screen 130. The image 131 may be a photograph of a model room in which a favorite space is realized, or may be a CG image.

Further, the evaluation buttons 132 and 133 by the user 2 are displayed on the image display screen 130. The evaluation buttons 132 and 133 are examples of GUI objects for receiving the evaluation by the user 2. Here, the evaluation buttons 132 and 133 are two, "like" and "dislike", but may be a button for selecting a numerical value of "1" to "5" in the five-grade evaluation. Alternatively, a text box for inputting an evaluation value may be displayed.

Further, when the user 2 selects the product display button 123, the product list is displayed on the display 15. FIG. 13 is a diagram showing an example of a display screen for displaying a product list of the space plan according to the present embodiment. Specifically, FIG. 13 shows a product list screen 140 displayed on the display 15.

On the product list screen 140, a text 141 indicating a product name and the like and a detail button 142 for displaying the details of each product are displayed. The text 141 indicates one or more products extracted by the space plan estimation unit 22 in a bulleted list. The order of representing the products may be determined based on, for example, the importance. The detail button 142 is a button for displaying a screen showing details of each product. When the detail button 142 is selected by the user 2, the spec information of the product may be displayed, or a website or the like where the product can be purchased may be displayed.

Further, on the product list screen 140, a property display button 144 for returning to the physical property display screen 120 for displaying the physical property is displayed. When the user 2 selects the property display button 144, the physical property display screen 120 shown in FIG. 11 is displayed on the display 15. Further, the image display button 122 is displayed on the product list screen 140.

Returning to FIG. 8A, the user 2 selects the evaluation button 133 when he / she does not like the image 131 (see FIG. 12) after being presented with the spatial plan. As a result, the evaluation unit 13 accepts the evaluation that the user 2 does not like the presented space plan. If the user 2 does not like it (No in S14), the update unit 24 updates the database based on the evaluation by the user 2 (S15). For example, the update unit 24 updates the importance of each database stored in the storage unit 23. For example, if the user 2 does not like the preference space "S01", the update unit 24 reduces the importance of the preference space "S01" among the plurality of preference spaces associated with the person type "H01". , The preference space database 32a is updated.

If the user 2 sees the image 131 (see FIG. 12) and likes it, the user 2 selects the evaluation button 132. As a result, the evaluation unit 13 accepts the evaluation that the user 2 likes the presented space plan. If the user 2 likes it (Yes in S14), the update unit 24 updates the database based on the evaluation by the user 2 (S16). The specific update method is the same as in step S15. For example, when the user 2 likes the preference space "S01", the update unit 24 increases the importance of the preference space "S01" among the plurality of preference spaces associated with the person type "H01". The preference space database 32a is updated.

As described above, according to the space plan proposal system 1 according to the present embodiment, it is possible to propose a space plan that suits the taste of the user 2 without a specialized advisor. The space plan proposal system 1 is a very convenient system for the user 2 because the space plan is presented only by inputting attribute information such as demographic data.

Although FIGS. 11 to 13 show the physical property display screen 120, the image display screen 130, and the product list screen 140, the screen configuration such as the arrangement of buttons is not limited to the illustrated example. For example, the physical property display screen 120 shown in FIG. 11 may not include the image display button 122 or the product display button 123. Similarly, the image display screen 130 may not include the evaluation buttons 132 and 133, or the product list button 123. Alternatively, the image display screen 130 may include a property display button 144. Further, the product list screen 140 may not include the image display button 122 or the property display button 144.

Further, FIGS. 11 to 13 show an example in which the physical properties of the preference space, the image, and the product list are presented on different display screens, but the present invention is not limited to this. The space plan may be combined and displayed on one display screen. Further, these screen examples are merely examples, and the means for presenting to the user 2 is not particularly limited. For example, although an image showing a preference space is displayed on the display 15, a VR image may be used to present the image to the user 2.

[Effects, etc.]
As described above, the space plan proposal system 1 according to the present embodiment includes the acquisition unit 11 for acquiring the demographic data of the user 2 (target user), the attribute information indicating at least one of the lifestyle and the sense of values, and the acquisition unit 11. The preference estimation unit 21 that estimates the preference characteristics of the user 2 based on the attribute information acquired by the acquisition unit 11, and the physics of the preference space that the user 2 prefers based on the preference characteristics estimated by the preference estimation unit 21. It includes a space plan estimation unit 22 that estimates a space plan that represents physical properties, and a presentation unit 12 that presents the space plan estimated by the space plan estimation unit 22 to the user 2.

Thereby, for example, the user 2 simply answers a simple questionnaire regarding attribute information indicating at least one of demographic data, lifestyle and values, and a space plan showing the physical properties of the preference space preferred by the user 2. Is presented. Therefore, it is possible to propose a space plan that suits the taste of the user 2 without a specialized advisor.

It should be noted that the more items in the questionnaire, the higher the accuracy of estimating the preference characteristics of the user 2. Therefore, by acquiring a plurality of types of information from the user 2 for each of the demographic data, the lifestyle, and the sense of values, it is possible to propose a space plan that is more suitable for the preference of the user 2.

Further, for example, the spatial plan proposal system 1 further includes a preference characteristic database 31 relating to preference characteristics constructed based on attribute information of a plurality of users, and a plurality of preference characteristics constructed based on the preference characteristics of a plurality of users. A spatial plan database 32 relating to each physical property of the preference space is provided, the preference estimation unit 21 estimates the preference characteristics of the user 2 by referring to the preference characteristic database 31, and the space plan estimation unit 22 estimates the space. The spatial plan is estimated by referring to the plan database 32.

As a result, the accuracy of estimating the preference characteristics of the user 2 can be improved by using the preference characteristic database 31 constructed based on the attribute information of a plurality of users. Further, by using the space plan database 32 constructed based on the preference characteristics of a plurality of users, it is possible to enhance the system for estimating the preference space preferred by the user 2. Since the accuracy of each estimation is improved, it is possible to propose a spatial plan that is more suitable for the preference of the user 2.

Further, for example, the spatial plan database 32 is a preference space database 32a related to a preference space constructed based on the preference characteristics of a plurality of users, and a physical property indicating physical properties associated with each of the plurality of preference spaces. Includes property database 32b.

As a result, the spatial plan database 32 is hierarchized into the preference space database 32a and the physical property database 32b, which facilitates database management. For example, when updating the database based on the evaluation result of the user 2, it is possible to update only the association between the preference characteristic and the preference space without updating the association between the preference space and the physical property. ..

Further, for example, the space plan proposal system 1 further includes an evaluation unit 13 that receives an evaluation by the user 2 for the space plan presented by the presentation unit 12, and a preference characteristic database 31 based on the evaluation received by the evaluation unit 13. And an update unit 24 that updates at least one of the spatial plan database 32.

As a result, the database is updated based on the evaluation by the user 2, so that the quality of the database can be improved. Therefore, at the time of the second and subsequent proposals, it is possible to propose a space plan that is more suitable for the preference of the user 2.

Further, for example, the space plan includes a product list showing one or more products associated with the physical properties of the preference space preferred by the user 2.

As a result, the product list necessary for actually realizing the preference space is presented based on the space plan, so that the preference space can be easily realized.

Further, for example, the space plan proposal system 1 further includes a product database 33 showing a correspondence relationship between a plurality of physical properties and a plurality of products, and the space plan estimation unit 22 further refers to the product database 33. To generate a product list.

As a result, by using the product database 33, it becomes easy to manage the products required for each space. For example, by updating the product database 33 when a new product is released, it is possible to propose a spatial plan including the latest information to the user 2.

Further, for example, the presentation unit 12 presents a space plan by displaying an image 131 representing a preference space preferred by the user 2 and a text 121 representing the physical properties of the preference space.

As a result, by displaying the image, it is possible to propose a spatial plan to the user 2 in a visually easy-to-understand manner. Therefore, the user 2 can intuitively determine whether he / she likes or dislikes the space plan.

(Other)
The space plan proposal system according to the present invention has been described above based on the above-described embodiment and its modifications, but the present invention is not limited to the above-described embodiment.

For example, in the above embodiment, an example in which the spatial plan includes a product list is shown, but the present invention is not limited to this. That is, the space plan proposal system 1 does not have to include the product database 33.

Further, for example, new data may be added to each database. For example, a specialized advisor or the like may construct a new spatial plan based on the result of presenting the spatial plan to the user 2 and store it in the database.

Further, for example, in the above embodiment, the space plan proposal system 1 has shown an example including a storage unit 23 for storing the preference characteristic database 31 and the like, but the present invention is not limited to this. The space plan proposal system 1 may use an external database prepared in advance.

Further, for example, in the above embodiment, an example in which the function of the space plan proposal system 1 is realized by the operation terminal 10 and the server device 20 has been shown, but the present invention is not limited to this. For example, the operation terminal 10 may include a functional configuration of the server device 20 (specifically, a preference estimation unit 21, a space plan estimation unit 22, a storage unit 23, and an update unit 24). Further, for example, the server device 20 does not have to include a storage unit 23 for storing each database. The storage unit 23 may be provided in a dedicated terminal or the like different from the operation terminal 10 and the server device 20. Further, for example, the presentation unit 12 may be provided in a video display device such as a television different from the operation terminal 10. In this way, the acquisition unit 11, the presentation unit 12, the evaluation unit 13, the preference estimation unit 21, the space plan estimation unit 22, the storage unit 23, and the update unit 24 included in the space plan proposal system 1 are each realized by any device. May be good.

Further, in the above-described embodiment, each component may be configured by dedicated hardware, or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU (Central Processing Unit) or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

The present invention can be realized not only as a product plan proposal system, but also a program including processes performed by each component of the product plan proposal system as steps, and a computer-readable DVD (Digital Versaille Disc) in which the program is recorded. It can also be realized as a recording medium such as.

That is, the above-mentioned comprehensive or specific embodiment may be realized by a system, a device, an integrated circuit, a computer program or a computer-readable recording medium, and any of the system, the device, the integrated circuit, the computer program and the recording medium. It may be realized by various combinations.

In addition, it is realized by arbitrarily combining the components and functions in each embodiment within the range obtained by applying various modifications to each embodiment and the gist of the present invention. Forms are also included in the present invention.

1 Spatial plan proposal system 2 User (target user)
11 Acquisition unit 12 Presentation unit 13 Evaluation unit 21 Preference estimation unit 22 Spatial plan estimation unit 24 Update unit 31 Preference characteristic database 32, 32c Spatial plan database 32a Preference space database 32b Physical property database 33 Product database 121 Text 131 Image

Claims (6)

A preference trait database showing multiple clusters of preference traits, constructed by clustering using attribute information of multiple users,
A spatial plan database in which the physical properties of the plurality of clusters and the plurality of preference spaces are associated with each other.
An acquisition unit that acquires attribute information indicating at least one of the demographic data, lifestyle, and values of the target user,
A preference estimation unit that estimates the cluster to which the preference characteristic of the target user belongs by clustering the attribute information acquired by the acquisition unit and referring to the preference characteristic database .
By referring to the spatial plan database, a spatial plan estimation unit that estimates a spatial plan representing the physical properties associated with the cluster estimated by the preference estimation unit, and a spatial plan estimation unit.
A space plan proposal system including a presentation unit that presents a space plan estimated by the space plan estimation unit to the target user. The spatial plan database is
A preference space database related to preference spaces constructed based on the preference characteristics of multiple users,
The space plan proposal system according to claim 1 , which includes a physical property database showing physical properties associated with each of a plurality of preference spaces. further,
An evaluation unit that accepts evaluations by the target user for the spatial plan presented by the presentation unit,
The spatial plan proposal system according to claim 1 or 2 , further comprising an update unit that updates at least one of the preference characteristic database and the spatial plan database based on the evaluation received by the evaluation unit. The space plan proposal according to any one of claims 1 to 3 , wherein the space plan includes a product list showing one or more products associated with the physical properties of the preference space preferred by the target user. system. further,
It has a product database that shows the correspondence between multiple physical properties and multiple products.
The spatial plan proposal system according to claim 4 , wherein the spatial plan estimation unit further generates the product list by referring to the product database. The presenting unit presents the space plan by displaying an image representing a preference space preferred by the target user and a text representing the physical properties of the preference space. Any one of claims 1 to 5. The space plan proposal system described in the section.

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