WO2021084930A1

WO2021084930A1 - Room layout proposal device, room layout proposal method, and program

Info

Publication number: WO2021084930A1
Application number: PCT/JP2020/034320
Authority: WO
Inventors: 俊彦荒田; ティン田; 友紀徂徠; 恵理子佐伯; 栗田　玲奈; 直樹阿尾
Original assignee: パナソニックＩｐマネジメント株式会社
Priority date: 2019-10-29
Filing date: 2020-09-10
Publication date: 2021-05-06
Also published as: JP2021072090A

Abstract

According to the present invention, a house room layout satisfying a respondent's request is proposed from among a plurality of room layouts. A room layout proposal device (1) comprises: an acquisition unit (112) which provides questions and obtains answers to each question from respondents; a calculation unit (113) which uses importance data in which the questions, the answers, identification information on conditions that users want in their life, and indices of the degree that the users who have selected the answers to the questions attach importance to the conditions are associated with each other, and for each condition, calculates an importance score that is the degree to which the respondent attaches importance to the conditions, from the answers acquired by the acquisition unit; and a selection unit (114) which uses a satisfaction degree included in satisfaction degree data in which room layout identification information that identifies the room layout of a house, condition identification information, and a plurality of satisfaction degrees that are values indicating degrees to which a house with a room layout identified by each piece of room layout identification information satisfies the conditions are associated with each other, and the result obtained by the calculation unit, and selects a room layout having a high degree of satisfying the respondent's request from the plurality of house room layouts as a proposal target to the respondent.

Description

Floor plan proposal device, floor plan proposal method and program

This disclosure relates to a floor plan proposal device, a floor plan proposal method, and a program that proposes a house layout according to the respondent's request to the respondents who answered the question.

Conventionally, various technologies have been proposed to provide a housing plan according to the request of the owner when constructing a house. Specifically, there is also a technique of selecting a keyword from a plurality of housing plans by inputting a request regarding housing in a sentence and providing housing plan data including this keyword (for example, Patent Document 1).

JP-A-2002-24241

In this disclosure, for respondents who answered multiple questions, the conditions that the respondents place importance on using the answers are taken into consideration, and the floor plans of multiple houses are selected according to the respondent's request. Provided are a floor plan proposal device for proposing a floor plan, a floor plan proposal method, and a program.

The floor plan proposal device of the present disclosure provides a plurality of questions, and obtains an answer to each question from the respondent, and the question, the answer, the identification information of the conditions required by the user for living, and the question. For each condition, the respondent attaches importance to the condition from the answer obtained by the acquisition department using the importance data that associates multiple degrees of importance, which is an index for the user who selected the answer to attach importance to the condition. Satisfaction degree, which is a value indicating the degree to which the calculation unit for obtaining the floor plan, the floor plan identification information for identifying the floor plan of the house, the identification information of the condition, and the house with the floor plan identified by each floor plan identification information satisfy the condition. Using the sufficiency included in the sufficiency data and the result obtained by the calculation unit, select a floor plan with a high degree of satisfying the respondent's request from the floor plans of multiple houses as a proposal target to the respondent. Includes a selection section to be used.

These general and specific aspects may be realized by systems, methods, and computer programs, and combinations thereof.

The floor plan proposal device, floor plan proposal method, and program of the present disclosure are requested by respondents from among a plurality of houses in consideration of the conditions that the respondents place importance on by using the answers to the respondents who answered a plurality of questions. It is possible to propose a floor plan of a house according to the weight of the house.

It is a conceptual diagram of the floor plan proposal apparatus which concerns on this disclosure. It is a block diagram of the floor plan proposal apparatus which concerns on this disclosure. This is an example of a floor plan included in the floor plan data. This is another example of the floor plan included in the floor plan data. It is a block diagram of the feature score data. It is a block diagram of coefficient data. It is a block diagram of the sufficiency degree data. This is an example of a display screen used for a question. This is another example of the display screen used for a question. It is a block diagram of importance degree data. It is a block diagram of the target value data. It is a flowchart explaining the generation of sufficiency degree data. It is a graph explaining the prediction formula of the degree of sufficiency. It is a graph explaining the generation of a prediction formula. It is a flowchart explaining the floor plan proposal. This is an example of the degree of sufficiency used for floor plan selection. This is an example of _{the value d m} used to select the floor plan. This is an example of a display screen that proposes a floor plan. It is a block diagram of the floor plan proposal apparatus which concerns on modification 1. This is an example of a display screen used for the second question. It is a conceptual diagram explaining the selection of the interior style using the second question. It is a flowchart explaining the proposal of the floor plan which concerns on modification 1. It is another example of a conceptual diagram illustrating the choice of interior style using the second question. This is a correspondence table used for selecting an interior style using the second question. This is an image scale used to select an interior style using the second question. It is a block diagram of the floor plan proposal apparatus which concerns on modification 2. It is a flowchart explaining the proposal of the floor plan which concerns on modification 2. It is a flowchart explaining the proposal of the floor plan which concerns on modification 3. It is a flowchart explaining the proposal of the floor plan which concerns on modification 4. This is an example of a display screen that proposes the floor plan of the floor plan proposal device according to the modified example 5. This is another example of the display screen that proposes the floor plan of the floor plan proposal device according to the modified example 5. This is another example of the display screen that proposes the floor plan of the floor plan proposal device according to the modified example 5.

[Findings underlying this disclosure]
There is a technology to provide a housing plan according to the request of the owner. However, even if there are multiple requests for the owner's housing, some of the requests are highly emphasized and some are less emphasized. However, for example, it is difficult to consider the weight of emphasis on a plurality of requests by simply searching using keywords, and each request is treated in the same line. Therefore, even if there is a housing plan that satisfies the conditions that the owner places the highest priority on, such a housing plan may not always be proposed, and instead, a housing plan that meets the conditions that the owner does not place much importance on may be proposed.

Therefore, with the conventional method, it was difficult to propose a housing plan suitable for the owner's request in consideration of the weight of the specific request for the owner's life.

This disclosure provides the respondents who answered the question with a floor plan proposal device, a floor plan proposal method, and a program that propose the floor plan of the house according to the respondent's request by using the answer. As a result, when proposing a floor plan of a house as a housing plan, it is possible to propose a floor plan suitable for the owner's request in consideration of the weight of the specific request for living according to the answer of the owner.

[Embodiment]
Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. However, in the detailed description, unnecessary parts of the description relating to the prior art and substantially the same configuration may be omitted. This is for the sake of simplicity. In addition, the following description and accompanying drawings are disclosed so that those skilled in the art can fully understand the present disclosure, and are not intended to limit the subject matter of the claims.

The floor plan proposal device, floor plan proposal method and program related to this disclosure provide questions to the owner who wishes to construct a house, and by using the answers from the owner to the questions, as a housing plan, to the owner's request. It proposes the floor plan of the house according to it. For example, as shown in FIG. 1, the floor plan proposal device 1 provides a plurality of questions to the owner 20 who desires to construct a house, infers the request of the owner 20 who is the respondent from the answers to the questions, and makes a plurality of houses. From the floor plans, we can propose a floor plan that meets your needs. Further, for example, the floor plan proposal device 1 may be used by the contractor 21 or the like who undertakes the construction of the house together with the owner 20 when determining the floor plan according to the request of the owner 20.

In this disclosure, "house" is a house for people to live in, and its type does not matter. For example, it shall include single-family homes and apartments. For example, a "house" may be inhabited by one household or may be inhabited by two or more households.

The "owner" is a person who wishes to build a house. For example, the "owner" is the person who actually resides in the house to be built. If more than one person resides in the house to be built, this group of people may be the "owner". Here, the representative group of owners is the family. In addition, this "owner" may be referred to as a "respondent" because it is necessary to answer the question in order to propose a floor plan.

"Room layout" is the layout of the rooms in the house. In addition, the "floor plan" shall include not only the room but also all sections such as corridors, storage areas, entrances, and stairs.

"Question" is a question that asks the owner for some kind of answer. Here, the "answer" to the question is preset as an option. Therefore, the owner is presented with a question and multiple answer options for this question. The owner shall then select an answer option to the question presented. Also, as will be described in detail later, each question is associated with some condition that the owner requires of the house.

The configuration of the floor plan proposal device 1 according to the present disclosure will be described with reference to FIG. The floor plan proposal device 1 is an information processing device including a control unit 11, a storage unit 12, an input unit 13, an output unit 14, and the like, and each unit is connected by a bus 16. Further, the floor plan proposal device 1 may be provided with a communication interface (communication I / F) 15 so that data communication can be executed with an external device.

The control unit 11 is a controller that controls the entire floor plan proposal device 1. For example, the control unit 11 reads and executes the floor plan proposal program P stored in the storage unit 12, thereby realizing processing as the generation unit 111, the acquisition unit 112, the calculation unit 113, the selection unit 114, and the provision unit 115. To do. Further, the control unit 11 is not limited to one that realizes a predetermined function by the cooperation of hardware and software, and may be a hardware circuit specially designed to realize a predetermined function. That is, the control unit 11 can be realized by various processors such as a CPU, MPU, GPU, FPGA, DSP, and ASIC.

The storage unit 12 is a recording medium for recording various information. The storage unit 12 is realized by, for example, a RAM, a ROM, a flash memory, an SSD (Solid State Device), a hard disk, another storage device, or a combination thereof as appropriate. In the storage unit 12, in addition to the floor plan proposal program P executed by the control unit 11, various data and the like used for the floor plan proposal are stored. For example, the storage unit 12 stores the floor plan data 121, the feature score data 122, the coefficient data 123, the satisfaction level data 124, the question data 125, the acquisition data 126, the importance level data 127, and the target value data 128.

The input unit 13 is an input means such as an operation button, a keyboard, a mouse, a touch panel, and a microphone used for operation and data input. The output unit 14 is an output means such as a display or a speaker used for outputting processing results and data. The communication I / F 15 is an interface circuit (module) for enabling data communication with an external device (not shown).

The floor plan proposal device 1 may be realized by a plurality of information processing devices. Further, a part of the data stored in the storage unit 12 may be stored in an external storage device and read from the external storage device for use.

The floor plan data 121 is data that is identified by the “floor plan identification information” and includes the floor plan of each house that is the target of the proposal by the floor plan proposal device 1. For example, the floor plan data 121 includes a floor plan 21a as shown in FIG. 3A and a floor plan 21b as shown in FIG. 3B. In addition, the floor plan data 121 can include additional data such as an explanatory text explaining the floor plan of each house and an image of a state in which furniture is arranged in the house of the floor plan.

The feature score data 122 includes "floor plan identification information", "feature identification information" representing the characteristics of the floor plan of the house, and features represented by the feature identification information of the house of the floor plan identified by the floor plan identification information. It is the data associated with the "feature score" which is a value indicating the degree of satisfaction. In the feature score data 122 shown in FIG. 4, "x1" to "x10" are used as "floor plan identification information (hereinafter, referred to as" floor plan ID "if necessary)". Further, in the feature score data 122 of FIG. 4, "y1" to "y27" and the like are used as "feature identification information (hereinafter, referred to as" feature ID "if necessary)". In the example of FIG. 4, the "floor plan feature" which is the content of the feature identified by the feature ID is included in association with each feature ID.

For example, in the example shown in FIG. 4, the feature identified by the feature ID "y1" is "the entrance is wide". Further, the feature identified by the feature ID "y7" is "difficult to see the private space from the entrance", and the feature identified by the feature ID "y16" is "the living room is wide". Here, it is assumed that the higher the degree to which the feature identified by the feature ID is satisfied, the higher the value of the "feature score". Specifically, the floor plan of the feature score "2" is more likely to satisfy the feature than the feature score "0". Therefore, in the example shown in FIG. 4, regarding the "width of the entrance", the house with the floor plan ID "x2" has a wider entrance than the house with the floor plan ID "y1". Will be done. In FIG. 4, some "feature IDs" and "floor plan IDs" are omitted for the sake of simplification of explanation.

Here, among the features of the floor plan, there are "(1) features related to only a single space" and "(2) features considering the positional relationship of multiple spaces". In the example of FIG. 4, "y1 wide entrance" and "y16 wide living room" correspond to "(1) features related to only a single space" because they are features that depend only on the entrance or living room. .. On the other hand, "y7, the private space is hard to see from the entrance", "y18, the living room and the adjacent space can be connected to create a large hall", and "y27, the kitchen's feet cannot be seen from the LD (living room and dining room)" are the entrances. , A feature that depends not only on a single space such as a living room or kitchen, but also on other spaces, and therefore falls under "(2) Features considering the positional relationship of multiple spaces".

These feature scores are set for each feature of the new floor plan and added to the feature score data, for example, when a new floor plan is registered in the floor plan data 121. The feature score set for each floor plan shall be set based on the same criteria as the feature score set for the other floor plans. At this time, in the case of "(1) features relating to only a single space", it is set according to only a single space, and in the case of "(2) features considering the positional relationship of a plurality of spaces", there are a plurality of features. It is set according to the space of.

By using the feature score based on "(2) Features considering the positional relationship of multiple spaces", features that cannot be expressed only by "(1) Features related to only a single space" are also used as feature scores. Can be set. As a result, in the floor plan proposal device 1, it is possible to obtain the “sufficiency” described later as a more appropriate value, and it is possible to propose a floor plan that meets the request of the owner 20. Suppose that in a certain "floor plan A", a living room of a size and a Japanese-style room of a size are adjacent to each other via a sliding door that can be fully opened. In this case, as "(2) a feature considering the positional relationship of a plurality of spaces", a feature score of "y18, a large space can be created by connecting an adjacent living room and a Japanese-style room" can be set high. As a result, the floor plan proposal device 1 can be treated as a house that is likely to satisfy the request of the owner 20 that "it is easy to invite to a meal", which will be described later. It becomes easier to propose "Floor plan A". On the other hand, in the case of "(1) Features related to only a single space", "Floor plan A" is a house with a living room of medium size, so the owner who wants a floor plan that is "easy to invite to a meal". It becomes difficult to be proposed to 20.

In the coefficient data 123, the "feature identification information", the "condition identification information" for identifying the conditions required by the owner 20 for the house or living, and the floor plan features identified by the feature identification information are identified by the condition identification information. It is the data associated with the "coefficient" set by the influence on the conditions to be set. In the coefficient data 123 shown in FIG. 5, "z1" to "z10" are used as "condition identification information (hereinafter, referred to as" condition ID "if necessary)". Further, in the example of FIG. 5, for the sake of explanation, the content of the condition identified by the condition ID is associated with the “condition ID”. Note that the coefficient data 123 in FIG. 5 also includes a floor plan feature in association with the feature ID, as in FIG. 4, for the sake of explanation.

For example, in the example of FIG. 5, the conditions identified by each condition ID are "z1" for "easy daily operation", "z2" for "low housework burden", and "z3" for "good housework efficiency". , "Z4" is "easy for children to study", "z5" is "parents and children can spend close time", "z6" is "easy for families to gather", "z7" is "can suppress the feeling of life", " "Z8" is "easy to invite to a meal" and "z10" is "easy to entertain".

For example, if there is a feature that "y1 has a wide entrance", it is said that the conditions such as "z1 daily movement is easy", "z9 is easy to invite to a meal", and "z10 is easy to entertain" are satisfied, and is shown in FIG. The coefficient data 123 has a coefficient that associates these feature IDs with the condition IDs. It should be noted that the higher the degree to which the condition is satisfied, the higher the value of the "coefficient". Specifically, the feature score "5" has a higher degree of satisfying the condition than the feature score "0". Therefore, in the example shown in FIG. 5, regarding the "living room size", the condition ID "z6, which makes it easy for families to gather" is more likely to be satisfied than the condition, which is the condition ID "z1 which makes daily activities easier". It is set. In FIG. 5, some "feature IDs" and "floor plan IDs" are omitted for the sake of simplification of explanation. These coefficients are set in advance according to the relationship between the characteristics of the floor plan and the conditions, and the coefficient data 123 is generated.

The sufficiency data 124 includes "floor plan identification information", "condition identification information", and "sufficiency degree" which is a value indicating the degree to which the house of the floor plan identified by the floor plan identification information satisfies the condition. The data to be associated. In the satisfaction degree data 124 shown in FIG. 6, the “sufficiency degree” is associated with each combination of the floor plan IDs “x1” to “x10” and the condition IDs “z1” to “z10”. In the example of FIG. 6, for the sake of explanation, the content of the condition is associated with the condition ID as in FIG.

Here, it is assumed that the higher the degree of satisfaction of the conditions, the higher the value of "satisfaction". Specifically, in the example of FIG. 6, the degree of satisfaction of "7.3" is higher than that of "2.7". Therefore, for example, in the example of the satisfaction level data 124 in FIG. 6, the degree to which the house with the floor plan of "x6" is satisfied is the highest with respect to the condition "z4, which is easy for children to study". In addition, regarding the condition that "z6 family can easily gather", the degree to which a house with a floor plan of "x4" is satisfied is the highest. In FIG. 6, among the satisfaction degrees associated with each condition ID, the highest value is shown by enclosing it in a circle. Further, in the sufficiency degree data 124 shown in FIG. 6, some numerical values of the sufficiency degree are omitted for the sake of easiness of explanation, but in reality, it is assumed that the sufficiency degree also exists in the blank portion.

The sufficiency data 124 can be generated by using the sum of products of the feature score of the feature score data 122 and the coefficients of the coefficient data 123, and the generation method will be described later using the flowchart of FIG.

Question data 125 is data for presenting a question and options for answering the question. For example, as shown in FIG. 7A, the question data 125 includes data for displaying a display screen W including an area A1 for displaying a question and areas A2 to A5 for displaying an answer. In the display screen W shown in FIG. 7A, the area A1 includes a question asking the owner 20's idea regarding "at home, quietness is more important than liveliness". Further, the display screen W shown in FIG. 7A has "applicable" to the area A2, "somewhat applicable" to the area A3, "not very applicable" to the area A4, and "not applicable" to the area A5 as options for answering this question. including. The client 20 can answer the question by selecting any of the areas A2 to A5. FIG. 7A is an example of a question that directly asks "the life desired by the owner 20".

Further, the question data 125 includes data for displaying the display screen W as shown in FIG. 7B, for example. FIG. 7B is an example of a question that indirectly estimates, for example, "the life desired by the owner 20" by asking the personality, consciousness, behavioral characteristics, etc. of the owner 20. In the example shown in FIG. 7B, the area A1 shows "a situation in which the clerk B tells the customer A that only one product can be purchased by the customer A when he / she tries to purchase a plurality of products with the customer A". In the situation, customer A asks what he thinks. In addition, the display screen W shown in FIG. 7B has, as options for answering this question, "I came to buy it" in area A2 and "Is it originally intended to buy only one?" In area A3. Include "I should have confirmed" in A4 and "OK" in area A5, and let the owner select it.

The floor plan proposal device 1 directly or indirectly asks the living desired by the owner 20 using such a question included in the question data 125, and estimates the conditions required for the living by the owner 20 using the obtained answers. Then, we propose a floor plan suitable for the conditions. By directly or indirectly asking the owner 20's desired lifestyle instead of directly asking the owner 20's desired housing conditions, the floor plan proposal device 1 is less affected by social conventions and the like, and the owner 20 is less likely to be affected. It becomes possible to estimate even the potential hope of the owner, and it becomes easier to propose a floor plan suitable for the life of the owner 20.

The acquired data 126 is data related to the answers acquired from the owner 20 for each question of the question data 125.

The importance data 127 includes a plurality of "question identification information" for identifying a question, "answer identification information" for identifying a plurality of answers to the question, a plurality of "condition identification information", and the owner 20 for each question. On the other hand, when each answer is selected, the data is associated with the "emphasis degree", which is an index of the degree to which the owner 20 attaches importance to the condition identified by each condition identification information. In the importance level data 127 shown in FIG. 8, "Q1" to "Q4" and the like are used as "question identification information (hereinafter, referred to as" question ID "if necessary)". Further, in the importance level data 127 of FIG. 8, "A11" to "A44" and the like are used as "answer identification information (hereinafter, referred to as" answer ID "if necessary)". Specifically, the identification information of the answer to the question of "Q1" is "A11" to "A14", the identification information of the answer to the question of "Q2" is "A21" to "A24", and "Q3". The identification information of the answer to the question of "A31" to "A34" is, and the identification information of the answer to the question of "Q4" is "A41" to "A44". Further, the importance level data 127 of FIG. 8 also includes the content of the condition in association with the condition ID, as in FIG.

For example, in the example of FIG. 8, the higher the degree of importance placed on the condition, the higher the value of the "degree of importance". Specifically, the degree of importance "2" is higher than the case of "-2" in that the owner 20 attaches importance to the condition. Therefore, in the example shown in FIG. 8, when the answer of "A11" is selected in the question of "Q1", the condition of "z1 daily movement is easy" is more than that of the case of selecting other answers. Is set to be "important". On the other hand, when the answer of "A11" is selected in the question of "Q1", the condition of "z6 family is easy to gather" is set to be "less important" than the condition of selecting other answers. ing. This "emphasis degree" is a value used to specify how much the target condition is relatively emphasized as compared with other conditions. Each priority included in the priority data 127 is preset according to the relationship between the question, the answer, and the condition. In addition, although omitted for convenience of illustration, it is assumed that "0" is actually set for the degree of importance in which the numerical value is not described.

In the following explanation, as shown by a circle in FIG. 8, the answer "A14" is selected for the question "Q1", the answer "A21" is selected for the question "Q2", and the question "Q3" is selected. The answer "A31" is selected for the question "Q4", and the answer "A43" is selected for the question "Q4". The data including these answers is the above-mentioned acquired data 126.

The target value data 128 includes "question identification information", a plurality of "answer identification information" for the question, "condition identification information", and when the owner 20 selects the target answer for the target question. It is data associating a plurality of "target values" which are indicators to the extent that the owner 20 targets the satisfaction of the conditions identified by the target condition identification information. FIG. 9 shows an example of the target value data 128.

For example, in the example of FIG. 9, the higher the degree to which the owner 20 obtains the condition, the higher the value of the "target value" is assumed. Specifically, the target value "3" is more likely to be obtained by the owner 20 than the case of "-2". Therefore, in the example shown in FIG. 9, when the answer of "A21" is selected in the question of "Q2", the degree of obtaining the condition that "z5 parent and child are familiar" is "higher" than when other answers are selected. "It is set as a thing. On the other hand, when the answer of "A21" is selected in the question of "Q2", the condition of "z7 suppressing the feeling of life" is "lower" than the case of selecting other answers. It is set as a thing. This "target value" is a value used to specify the desired level of the target condition alone, regardless of other conditions. Each target value included in the target value data 128 is preset according to the relationship between the question, the answer, and the condition.

In FIG. 9, the condition (condition ID: z1, z2, z3, z8, z9, z10) in which the target value portion is diagonally ruled is set as the second condition described later, and is a target. It is a condition that does not require setting a value. Further, in FIG. 9, although omitted for convenience, it is assumed that "0" is actually set in the portion where the target value is blank.

The generation unit 111 reads the feature score data 122 and the coefficient data 123 from the storage unit 12, obtains the sum of products of the feature score and the coefficient for each condition for the floor plan identified by each floor plan identification information, and provisionally satisfies the floor plan. The degree. The generation unit 111 adjusts the range of each condition with respect to the obtained provisional sufficiency degree based on a preset standard, and obtains the sufficiency degree. The generation unit 111 associates the obtained sufficiency degree with the floor plan identification information and the condition to generate the sufficiency degree data 124. Further, the generation unit 111 stores the generated sufficiency data 124 in the storage unit 12.

The acquisition unit 112 reads the question data 125 from the storage unit 12, displays, for example, the display screen W as described above on the output unit 14 which is a display using FIGS. 7A and 7B, and asks the owner 20 a plurality of questions. provide. Further, the acquisition unit 112 acquires an answer to each question from the owner 20 by an operation via the input unit 13. Further, the acquisition unit 112 stores the acquired answer in the storage unit 12 as acquired data 126. Specifically, the acquired data 126 is data to which the question ID and the answer ID are associated.

When the acquisition data 126 is acquired by the acquisition unit 112, the calculation unit 113 reads the acquisition data 126 and the importance data 127 from the storage unit 12, and uses the importance data 127 to include each condition in the acquisition data 126. From each answer of the client 20, the degree to which the client 20 attaches importance to the condition (hereinafter, "emphasis score" as necessary) is obtained. At this time, the calculation unit 113 can obtain the sum of a plurality of priority levels specified by the combination of the question and the answer in the priority level data 127 for each condition as the priority level score.

Further, the calculation unit 113 reads the acquired data 126 and the target value data 128 from the storage unit 12, uses the target value data 128 for each condition, and uses the target value data 128 to obtain the client 20 from each answer of the client 20 included in the acquired data 126. Find the degree to which the condition is required for the house (hereinafter, "target value score" if necessary). At this time, the calculation unit 113 can obtain the sum of a plurality of target values specified by the combination of the question and the answer as the target value score in the target value data 128 for each condition.

The calculation unit 113 can use a predetermined value for the target value score for the predetermined condition. Specifically, the condition for obtaining the target value score is defined as the "first condition", and the condition for using a predetermined value for the target value score is defined as the "second condition". At this time, for example, the condition in which the difference in the degree requested by the respondents is large is referred to as the "first condition", and the condition in which the difference in the degree requested by the respondents is small is referred to as the "second condition". Then, as for the second condition, a fixed value preset as a target value score may be used.

Although the degree of emphasis may differ, the degree of satisfying the condition may be better than low. By setting such a condition as the second condition and setting a value larger than the maximum possible value as the target value score, it is not necessary for the calculation unit 113 to obtain the importance score every time. For example, in the example shown in FIG. 9, it is considered that the higher the degree of the "z1 daily movement is easy" condition, the better for many owners 20. On the other hand, regarding the condition that "z5 parents and children are close to each other", some people want to "always be close to their parents and children", while others want to be "close to them as needed". Depends on. Therefore, the calculation of the target value score is executed with the condition such as the former as the second condition and the condition as the latter as the first condition.

The selection unit 114 selects a floor plan having a high degree of satisfying the request of the owner 20 from a plurality of houses by using the satisfaction degree included in the satisfaction degree data 124 and the result obtained by the calculation unit 113. At this time, the selection unit 114 may select a condition in which the emphasis score is equal to or higher than a predetermined threshold value as a condition to be emphasized by the respondent in daily life, and select the floor plan using the target value score of the selected condition. it can.

When selecting the floor plan of the house, the selection unit 114 selects the floor plan in which the difference between the satisfaction level associated with the same condition and the target value score is small for each house identification information. Further, the selection unit 114 may use a predetermined weight value.

The providing unit 115 generates screen data including the floor plan selected by the selection unit 114 and displays it on the output unit 14 which is a display, and provides the data regarding the floor plan of the house proposed to the owner 20.

<Generation of sufficiency data>
Next, the generation of sufficiency data executed by the floor plan proposal device 1 will be described with reference to the flowchart shown in FIG.

First, as shown in the flowchart of FIG. 10, the generation unit 111 reads the feature score data 122 and the coefficient data 123 from the storage unit 12, and selects the floor plan to be calculated for the degree of sufficiency from the plurality of floor plans. (S11). For example, the generation unit 111 first selects the floor plan ID “x1” as the processing target.

Further, the generation unit 111 selects a condition for which the degree of satisfaction is calculated from a plurality of conditions (S12). For example, the generation unit 111 first selects the condition ID "z1" as the processing target.

The generation unit 111 obtains the product of each feature score of the floor plan selected in step S11 and each coefficient of the condition selected in step S12 for each feature ID, and sets the sum as the provisional sufficiency degree (S13). .. Specifically, in the example of the feature score data 122 of FIG. 4 and the coefficient data 123 of FIG. 5, when the floor plan ID “x1” and the condition ID “z1” are selected, the feature score “y1” of the feature ID “y1” is selected. The product of "0" and the coefficient "0.1", the product of the feature score "0" of the feature ID "y2" and the coefficient "0", ... Temporary sufficiency.

When the provisional sufficiency of the conditions selected in step S13 is obtained, the generation unit 111 determines whether or not the calculation of the provisional sufficiency has been completed for all the conditions (S14). Specifically, it is determined whether or not the calculation of the provisional sufficiency degree has been completed for all the conditions "z1" to "z10". When the calculation of the provisional sufficiency degree has not been completed for all the conditions (NO in S14), the generation unit 111 repeats the processes of steps S12 to S14.

When the calculation of the temporary sufficiency degree is completed for all the conditions (YES in S14), the generation unit 111 determines whether or not the calculation of the temporary sufficiency degree is completed for all the floor plans (S15). Specifically, it is determined whether or not the calculation of the provisional sufficiency degree has been completed for all the floor plans of "x1" to "x10". When the calculation of the provisional sufficiency degree has not been completed for all the floor plans (NO in S15), the generation unit 111 repeats the processes of steps S11 to S15.

When the calculation of the temporary sufficiency is completed for all the floor plans (YES in S15), the generation unit 111 predicts the sufficiency using the plurality of temporary sufficiency obtained in step S13 based on the preset algorithm (YES in S15). S16).

FIG. 11A is a graph illustrating a method of predicting the sufficiency degree from the provisional sufficiency degree of the condition “z2 Housework sharing is good”. In the example shown in FIG. 11A, the following equation (1) is a prediction equation.
y = 0.0847x + 1.027 ... (1)
Therefore, the generation unit 111 obtains the sufficiency degree y with respect to the provisional sufficiency degree x by using the prediction formula of the above equation (1).

The prediction formula shown in FIG. 11A is a regression formula obtained from the values of a plurality of points plotted in FIG. 11A under a predetermined condition (R ^{2> 0.5 in the example of FIG. 11A).} Here, as shown in FIG. 11B, the plots of the plurality of points are performed by the planner who is the designer of the plurality of floor plans, the builder 21 who undertakes the construction of the house, and the like based on the same standard. FIG. 11A describes a value adjustment standard for the condition “z2 household chores are good”, and the generation unit 111 obtains the degree of satisfaction of each condition by using the prediction formula set for each condition. Although not shown, the prediction formulas for each condition used in the generation unit 111 are stored in, for example, the storage unit 12.

The generation unit 111 associates the sufficiency degree obtained in step S16 with each floor plan ID and each condition to generate the sufficiency degree data 124 (S17).

The generation unit 111 stores the satisfaction level data 124 generated in step S16 in the storage unit 12 (S18). As a result, the process of generating the sufficiency data 124 in the floor plan proposal device 1 is completed, and the floor plan proposal device 1 executes the process of the floor plan proposal using the sufficiency data 124 generated here.

<Proposal of floor plan>
Next, the floor plan proposal executed by the floor plan proposal device 1 will be described with reference to the flowchart shown in FIG.

First, as shown in the flowchart of FIG. 12, the acquisition unit 112 reads out the question data 125 stored in the storage unit 12, displays the display screen W on the output unit 14, and provides the question to the owner 20 (S21). ..

Subsequently, the acquisition unit 112 acquires the answer input from the owner 20 via the input unit 13 (S22). The acquisition unit 112 stores the answer acquired here in the storage unit 12 as acquired data 126. The acquired data 126 is data in which the question ID and the answer ID are associated with each other. For example, in the examples shown in FIGS. 8 and 9, among the plurality of answer IDs, the number circled is the answer of the owner 20. In such a case, the acquired data 126 is the data in which Q1 and A14, Q2 and A21, Q3 and A31, Q4 and A43, and the like are associated. It should be noted that the answer of the owner 20 cannot be specified only from the actual importance level data 127, and it is necessary to refer to the acquired data 126.

After acquiring the acquired data 126, the calculation unit 113 obtains the importance score (S23). Specifically, the calculation unit 113 obtains an emphasis score by using the acquired data 126 stored in the storage unit 12 and the emphasis data 127. For example, when the importance data 127 is shown in FIG. 8, each answer (circled in FIG. 8) included in the acquired data 126 is referred to, and each condition is associated with an answer ID that identifies the answer of the owner 20. The sum of the degree of importance is taken as the degree of importance score. For example, for the condition of "z1 that daily activities are easy", the importance level is added to all the answers such as "-2" of A14 and "-1" of A43, and the importance level score is "5. 2 ”was obtained. Regarding the condition of "z6" that "family can easily gather", the degree of importance is added to all the answers such as "2" of A14, "4" of A21, and "1" of A43. The score was "8.7". When the calculation of the importance score for all the conditions is completed, the process of step S3 is completed.

The selection unit 114 selects the conditions that the owner 20 attaches importance to in his / her life by using the importance score obtained in step S23 (S24). In the example shown in FIG. 8, when comparing the emphasis scores, the condition "z6 family is easy to gather" and "z8 sunlight is easy to enter" is the highest at "8.7", so the owner 20 lives. It can be judged that it is the most important condition in. For example, the selection unit 114 sets a condition in which the degree of importance is equal to or higher than a preset value as a condition to be emphasized by the owner 20, and is a target to be used for selecting the floor plan. Specifically, when "6.0" is preset as the threshold value, in the example shown in FIG. 8, the importance score indicated by the broken line circle corresponds, so that "z6 family is easy to gather" and " "Z8: Easy to get sunlight", "z9: Easy to invite meals", "z10: Easy to entertain", "z4: Easy for children to study" are selected as important conditions. In addition, in FIG. 8, the number attached above the selected importance score is the order of the condition in which the importance is given.

When the conditions to be emphasized are selected in step S24, the calculation unit 113 obtains the target value score of each condition (S25). Specifically, the calculation unit 113 obtains a target value score by using the acquired data 126 stored in the storage unit 12 and the target value data 128. For example, when the target value data 128 is shown in FIG. 9, each answer (circled in FIG. 9) included in the acquired data 126 is referred to, and each condition is associated with an answer ID that identifies the answer of the owner 20. The sum of the target values is used as the target value score. For example, for the condition that "z5 parent and child are close to each other", the target value is added to all the answers such as "3" for A21 and "1" for A43, so that the target value score is "5.9". Obtained. Regarding the condition of "z6" that "family can easily gather", the target value is added to all the answers such as "2" of A14, "2" of A21, and "1" of A43. The score was "8.5". When the calculation of the target value score for all the conditions is completed, the process of step S24 ends.

At this time, the calculation unit 113 does not calculate the target value score for the predetermined condition set as the second condition, and sets the predetermined value as the target value score. In the example of FIG. 9, "z1 daily movement is easy", "z2 is easy to share housework", "z3 is good for housework efficiency", "z8 is easy to get sunlight", "z9 is easy to invite meals". , "Z10 is easy to entertain" is set as the second condition, and for these conditions, "10" is set as the target value score.

Although FIG. 9 shows an example in which all the target value scores are obtained, it is possible to obtain only the target value scores only for the conditions selected in step S24. This is because the target value score that is not selected in step S24 is not used for selecting the floor plan described later. In the case of the example of FIG. 9, the condition that "z5 parent and child are close to each other" and the condition that "z7 life feeling is suppressed" are not selected in step S24, so that it is not necessary to obtain the target value score.

The selection unit 114 selects a floor plan having a high degree of satisfying the request of the owner 20 by using the target value score obtained in step S25 (S26). FIG. 13 is an example showing the importance score, the target value score, and the satisfaction level of the conditions selected in step S24 in descending order of the importance score. For example, selection unit 114, as in the following equation (2), the value d _m obtained for the target value score a _n and the target floor plan obtained for each condition using the difference between the fullness f _mn each condition Obtain each floor plan, compare the calculated values, and select the floor plan.

m: attached to the floor plan number n: attached to the selected condition number a _n: target value score f _mn: sufficiency

In the example of FIG. 13, since the selected condition is 5 of the condition IDs “z6”, “z8”, “z9”, “z10” and “z4”, n is a value of “1” to “5”. Is.

FIG. 14 is an example of _{the value d m} obtained for each floor plan. The smallest value among each value d _m is a floor plan having a high degree of satisfying the requirements of the owner 20. Therefore, in the example of FIG. 14, the selection unit 114 selects the floor plan with the floor plan ID “x4” as the proposed floor plan.

The providing unit 115 generates screen data including the floor plan selected in step S26 and proposes the floor plan of the house to the owner 20 (S27). Specifically, the providing unit 115 causes the owner 20 to display the floor plan of the house by displaying the display screen W2 corresponding to the generated screen data as shown in FIG. 15 on the output unit 14 which is a display. In addition to the floor plan selected in step S26, the display screen W2 includes areas A11 and A12 for displaying comments on the conditions required by the owner 20 among the features of the floor plan. For example, if the selected floor plan is "the kitchen space is 5 tatami mats or more and is wide", it leads to the condition that "the family can easily gather", so the explanation shown in the area A11 is given. In addition, since "having an open workspace" leads to the conditions of "easy for families to gather" and "easy for children to study", the explanation shown in Area A12 is given. This makes it possible to propose a suitable floor plan to the owner 20. For example, additional data such as comments displayed in the areas A11 and A12 are included in the floor plan data 121 together with the floor plan.

[Effects and supplements]
According to the above-mentioned floor plan proposal device, it is possible to propose a floor plan suitable for the owner's request from among a plurality of floor plans, considering the lightness and weight of the specific request for the owner's life.

As described above, the above embodiment has been described as an example of the technology disclosed in this application. However, the technique in the present disclosure is not limited to this, and can be applied to embodiments in which changes, replacements, additions, omissions, etc. are made as appropriate. Therefore, another embodiment will be illustrated below as a modified example. Further, in each modification described later, the same reference numerals are used for the same configurations as those described above, and the same reference numerals are used for the same processing, and the description thereof will be omitted.

[Modification 1]
The floor plan proposal device 1A according to the first modification will be described with reference to FIGS. 16 to 21B. According to the floor plan proposal device according to the above-described embodiment, the floor plan according to the request for the living of the owner 20 was proposed. The floor plan proposal device 1A of the first modification proposes data on the floor plan according to the owner's favorite interior style in addition to the request for the life of the owner 20.

"Interior" shall mean the interior of a house such as wallpaper, flooring, lighting equipment, and furniture. In addition, "interior style" is a style classified for such an interior. There is no limit to the number of styles that can be classified and how to classify each style. For example, it is possible to use a style classified based on the "image scale" that is generally used to represent the style of the interior.

"Image scale" is represented by a horizontal axis related to hue and a vertical axis related to lightness, and is a tool for classifying images of multiple types of interior styles. Specifically, the horizontal axis is the cool-warm axis, which identifies whether the image of the interior style is cool or warm. The vertical axis is a hard-soft axis, and specifies whether the image of the interior style is dark or light. An example of the image scale will be described later with reference to FIG. 21B.

As shown in FIG. 16, the floor plan proposal device 1A according to the modified example 1 is further provided with the specific unit 211 as compared with the floor plan proposal device 1 described above using FIG. 2, and the storage unit 12 is asked the second question. It differs in that the data 221 and the interior classification data 222 are stored.

The second question data 221 is data for presenting a second question asking the owner 20's favorite interior style and options for answering the second question. For example, the second question data 221 displays images a1 and a2 representing a plurality of different interior styles as the second question, and outputs a display screen W3 for selecting a favorite interior style. This is the data to be displayed on 14.

If the image a1 is selected on the display screen W30 shown in FIG. 17, the floor plan proposal device 1A uses the second question data 221 and selects the other images a11 and a12 as options, as shown in FIG. The display screen W31 including the display screen W31 is displayed. When the image a2 is selected, the floor plan proposal device 1A uses the second question data 221 to display the display screen W32 including the other images a21 and a22 as options. The second question data 221 is data in which images representing a plurality of different interior styles are presented to the owner 20 several times in this way and used to identify the preferred interior style of the owner 20.

Interior classification data 222 is data that associates the answer to the second question with the type of interior style that the owner 20 wants from the house. In the example shown in FIG. 18, the finally selected images a111 to a222 are the answers to the second question, and the data relating these answers to the interior style types (Forms 1 to 8) is the interior classification data. 222.

Note that the storage unit 12 of the floor plan proposal device 1A according to the modified example 1 can store floor plan data 121 having different interior styles even if the floor plans are the same. As described above with reference to FIGS. 3A and 3B, the floor plan data 121 may include, in addition to the simple floor plan, an explanatory text explaining the floor plan and an image image of a state in which furniture is arranged in the house of the floor plan. .. Such additional data such as explanations and images may differ depending on the interior style. For example, in the interior styles of style 1 and style 5, furniture having a completely different appearance may be used, but in such a case, the image image included in the floor plan data 121 is also completely different. Therefore, in the floor plan proposal device 1A according to the first modification, the floor plan data 121 associates the type of interior style. Then, the storage unit 12 stores a plurality of floor plan data 121 including additional data such as explanatory text and image images generated in relation to the type of interior style, even if the floor plan is the same.

Even if the interior style is different, the appearance may be similar. Also, it takes a lot of effort to generate different additional data for all interior styles. For example, the furniture, wallpaper, etc. used in "Form 1" and "Form 2" may be similar. Therefore, the type of interior style associated with the floor plan data 121 of 1 does not necessarily have to be one type, and a plurality of similar interior style types may be associated with each other.

The acquisition unit 112 reads the second question data 221 from the storage unit 12, causes the output unit 14, for example, displays the display screen W3 as described above using FIG. 17, and provides the owner 20 with the second question. Further, the acquisition unit 112 acquires an answer to the second question from the owner 20 by an operation via the input unit 13. Further, the acquisition unit 112 stores the answer to the acquired second question in the storage unit 12 as the acquisition data 126.

Specifically, the acquisition unit 112 uses the second question data 221 to display, for example, the display screen W30 as shown in FIG. 17 on the output unit 14, and derives a favorite interior style from the owner 20. Get answers to the questions. The display screen W30 displayed by the acquisition unit 112 includes images a1 and a2 of two different interior styles. In the example described here, the second question asks the preferred interior style from images of such different types of interior styles. Then, as shown in FIG. 18, the acquisition unit 112 displays the display screens W30 to 36 including a plurality of different interior styles a plurality of times, and outputs the finally reached answer to the specific unit 211. Specifically, when the image a1 is selected on the display screen W30, the display screen W31 is displayed, and when the image a11 is selected on the display screen W31, the display screen W33 is displayed and the a111 is selected on the display screen W33. If so, you will get this as an answer.

When the acquisition unit 112 acquires the answer to the second question, the identification unit 211 specifies the type of interior style preferred by the owner 20 by using the interior classification data 222. For example, in the case of the example shown in FIG. 18, when the client 20 selects the image a111 as the answer, "Form 1" is specified, and when the image a112 is selected as the answer, "Form 2" is specified, and the image is used as the answer. When a121 is selected, "Form 3" is specified.

When selecting the floor plan, the selection unit 114 selects the floor plan data 121 that has a high degree of satisfying the respondent's request and that matches the type of interior style specified by the specific unit 211. Specifically, the floor plan data 121 that reaches the target value score of each condition obtained by the calculation unit 113 and that matches the type of the interior style specified by the specific unit 211 is selected.

The providing unit 115 displays the screen data on the output unit 14 by using the floor plan data 121 selected by the selection unit 114. Specifically, image data including explanatory text and an image image matching the type of interior style specified by the specific unit 211 is generated and displayed on the output unit 14.

<Proposal of floor plan>
The proposal of the floor plan according to the first modification will be described with reference to the flowchart shown in FIG. In the flowchart shown in FIG. 19, a process different from the above-described process using FIG. 12 will be described by underlining the reference numerals.

When the acquisition unit 112 acquires an answer to each question in step S22, the acquisition unit 112 reads out the second question data 221 stored in the storage unit 12, displays the display screen W3 on the output unit 14, and gives the owner 20 a preferred interior style. The second question to be asked is provided (S31).

Subsequently, the acquisition unit 112 acquires the second answer input to the second question provided in step S31 from the owner 20 via the input unit 13 (S32). The acquisition unit 112 adds the second answer acquired here to the acquisition data 126 stored in the storage unit 12.

Further, the specifying unit 211 specifies a suitable interior style type by using the second answer obtained in step S32 (S33). The execution order of the processes of steps S23 to S25 and the processes of steps S33 is not limited to the order shown in FIG. 19, and if possible, a plurality of processes may be executed at the same time, or in a different order. It may be executed.

The selection unit 114 selects the floor plan data 121 having a high degree of satisfying the request of the owner 20 by using the target value score obtained in step S25 and the type of interior style specified in step S33 (S34). For example, when the style 1 is specified as the preferred interior style of the owner 20 in step S33, the target value score obtained in step S25 is satisfied and the floor plan data 121 of the style 1 is selected.

In this way, the floor plan proposal device 1A according to the modified example 1 proposes a floor plan using additional data such as explanatory text and image images included in the floor plan data 121 selected according to the preferred interior style of the owner 20. .. As a result, in the floor plan proposal device 1A according to the first modification, it is possible to make it easier for the owner 20 to imagine whether or not the house with the floor plan to be provided meets the request of the owner 20.

In addition to the method of selecting the preferred interior style of the owner 20 described above using FIG. 18, the method described by showing FIGS. 20 to 21B may be used. For example, as shown in FIG. 20, a plurality of display screens W30 to W36 are displayed in order, and the preference of the owner 20 regarding the interior style is specified. The plurality of display screens W30 to W36 shown in FIG. 20 are the same as those described above with reference to FIG. 18, but the images a111 to a222 finally selected as the answer are directly associated with each style which is an interior style. It differs in that it is associated with taste rather than being. Then, the style most related to the specified interior taste of the owner 20 is set as the style which is the favorite interior style of the owner 20.

The relationship between interior taste and interior style can be represented by, for example, a correspondence table as shown in FIG. 21A. For example, in the example shown in FIG. 21A, there are five types of interior tastes, but there are eight types of interior styles. An image scale showing the relationship between the cool-warm axis (horizontal axis) and the hard-soft axis (vertical axis) shown in FIG. 21A is shown in FIG. 21B. Specifically, when the selection unit 114 selects the floor plan data 121, the floor plan 114 is associated with the interior style having the closest coordinates to the coordinates of the interior preference obtained in the second answer in the image scale shown in FIG. 21B. Select data 121.

Specifically, when "preference A" is obtained as an answer, the selection unit 114 determines the coordinates of "preference A" if there is floor plan data 121 in which "style 2" is associated with the floor plan that satisfies the request of the owner 20. Select the floor plan data 121 associated with "Form 2" having the closest coordinates to. On the other hand, if there is no floor plan associated with "Form 2", the floor plan data 121 associated with "Form 4" is selected. Further, the floor plan data 121 to which "Form 1" is associated is selected. At this time, since the floor plan is the standard and the information associated with the floor plan regarding the illustrated interior style is additional, even if the style associated with the floor plan data 121 is different from the preference obtained as the answer, it is the most. The floor plan data 121 to which any of the closest formats is associated may be selected.

[Modification 2]
The floor plan proposal device 1B according to the second modification will be described with reference to FIGS. 22 and 23. The floor plan proposal device 1B according to the second modification proposes the floor plan of the house and the exterior of the owner 20's preference. Even if the floor plan of the house is the same, the exterior of the house may be selected from different ones. For example, the door, outer wall, window frame, etc. of a house can be selected from various types. Therefore, the floor plan proposal device 1B specifies and proposes the preferred exterior of the owner 20 according to the preferred interior style of the client 20.

As shown in FIG. 22, the floor plan proposal device 1B according to the modified example 2 is further provided with an extraction unit 212 as compared with the floor plan proposal device 1A described above using FIG. 16, and the storage unit 12 is provided with exterior data 223. It differs in that it remembers.

The exterior data 223 is data related to the exterior of the house of each floor plan stored as the floor plan data 121. Further, the exterior data 223 is associated with the type of interior style, and there are a plurality of different types of data for a house having the same floor plan. The exterior type does not necessarily have to be one-to-one associated with the interior style type. For example, one type of exterior may be associated with multiple interior style types.

The extraction unit 212 extracts the exterior data 223 corresponding to the type of interior style specified by the specific unit 211 according to the floor plan data 121 selected by the selection unit 114.

The providing unit 115 provides the data including the exterior data 223 extracted by the extraction unit 212 together with the floor plan data 121 selected by the selection unit 114.

<Proposal of floor plan>
The proposal of the floor plan according to the second modification will be described with reference to the flowchart shown in FIG. In the flowchart shown in FIG. 23, a process different from the above-described process using FIG. 19 will be described by underlining the reference numerals.

When the type of the interior style is specified by the specific unit 211 (S33) and the floor plan data is selected by the selection unit 114 (S34), the extraction unit 212 conforms to the type of the interior style specified in step S33 and steps. The exterior data 223 corresponding to the floor plan data 121 selected in S34 is extracted (S41).

The providing unit 115 generates image data including the floor plan data 121 selected in step S34 and the exterior data 223 extracted in step S41, and proposes the floor plan and exterior of the house to the owner 20 (S42).

In the above-described example using FIGS. 22 and 23, the floor plan data 121 and the exterior data 223 are separate data, but the floor plan data 121 may include the exterior data 223. In the case of such a configuration, it is possible to propose the exterior together with the floor plan to the owner 20 only by selecting the floor plan data 121 by the selection unit 114 without extracting the exterior data 223 by the extraction unit 212.

As described above, in the floor plan proposal device 1B according to the modified example 2, when the floor plan is proposed, it is possible to also provide the exterior selected according to the preferred interior style of the owner 20. As a result, in the floor plan proposal device 1B according to the second modification, it is possible to make it easier for the owner 20 to imagine the house with the floor plan to be provided.

[Modification 3]
The floor plan proposal device according to the third modification will be described. Since the configuration of the floor plan proposal device according to the modified example 3 is the same as that of the floor plan proposal device 1 described above with reference to FIG. 2, it will be described with reference to FIG. The floor plan proposal device 1 according to the modified example 3 re-proposes the floor plan when the owner 20 requests the re-proposal of the floor plan after the proposal of the floor plan. For example, even if it is possible to propose a floor plan that accurately reflects the request of the owner 20 by actually answering 50 questions, it may be felt that there are many 50 questions. Even if the answers to 10 questions are used, it may be possible to propose a floor plan that reflects the request of the owner 20 to a certain extent even if it is not accurate. Therefore, in the floor plan proposal device 1 according to the modified example 3, the floor plan is first proposed by using the answers obtained from the owner 20 to a small number of questions. Then, when the owner 20 requests a re-proposal of the floor plan, the answer obtained in the past and a new answer are used together to re-suggest the floor plan.

Specifically, the acquisition unit 112 provides a plurality of new questions in response to a request input from the owner 20 via the input unit 13. The new question is a question included in the question data 125 that has not been provided in the past. Further, the acquisition unit 112 acquires a new answer to each new question input from the owner 20 via the input unit 13. The acquisition unit 112 also adds the newly acquired answer to the acquisition data 126. Here, the acquisition unit 112 can specify the time series of the acquired answer by associating the answer with the information for specifying the date and time when the answer was acquired and storing it in the acquisition data 126.

When the acquisition unit 112 acquires a new answer, the calculation unit 113 obtains a new importance score for each condition by using the answer acquired in the past and the new answer. Here, the calculation unit 113 may obtain a new importance score by giving priority to a new answer over the answers obtained in the past.

The selection unit 114 selects the floor plan again using the result newly obtained by the calculation unit 113.

<Proposal of floor plan>
The floor plan proposal according to the third modification will be described with reference to the flowchart shown in FIG. 24. In the flowchart shown in FIG. 24, a process different from the above-described process using FIG. 12 will be described by underlining the reference numerals.

In the floor plan proposal device 1 according to the third modification, when the providing unit 115 provides the questions in step S21, the providing unit 115 does not provide all the questions of the question data 125 stored in the storage unit 12, but asks the questions of the question data 125. Some of them will be provided.

After the provision unit 115 proposes the floor plan in step S27, when the owner 20 inputs an operation signal requesting the re-proposal of the floor plan via the input unit 13 (YES in S51), the acquisition unit 112 stores. The question data 125 stored in the unit 12 is read out, the display screen W is displayed on the output unit 14, and a new question is provided to the owner 20 (S52). Here, the questions provided by the providing unit 115 are the questions included in the question data 125 that are not provided in step S21.

The acquisition unit 112 acquires the answer input from the owner 20 to the question provided in step S52 via the input unit 13 (S53). The acquisition unit 112 adds the answer acquired here to the acquisition data 126.

When the calculation unit 113 obtains the answer in step S53, the calculation unit 113 obtains the importance score (S54). Here, the calculation unit 113 calculates the importance score by using the answer obtained in step S22 and the answer obtained in step S53. At this time, the calculation unit 113 may calculate the importance score by weighting the specific answer. For example, the calculation unit 113 may calculate the importance score by using a weight value that makes the weight of the answer obtained in step S53 heavier than the answer obtained in step S22. This is because, for example, by increasing the influence of the newly acquired answer and showing the proposal result of the floor plan, it is possible to enhance the user's sense of satisfaction with the proposal result.

The selection unit 114 reselects the conditions that the owner 20 attaches importance to in his / her life by using the new importance score obtained in step S54 (S55).

When the conditions to be emphasized are reselected in step S55, the calculation unit 113 obtains the target value score of each condition (S56).

The selection unit 114 uses the target value score newly obtained in step S56 to select a floor plan having a high degree of satisfying the request of the owner 20 (S57).

The providing unit 115 generates screen data including the floor plan selected in step S57 and proposes the floor plan of the house to the owner (S58).

After that, as long as there are questions that have not been provided, if a re-proposal of the floor plan is desired (YES in S59), the process returns to step S52 and the processes of steps S52 to S58 are repeated.

Even in this case, as described above with reference to FIG. 19, the second question may be provided, and data on the floor plan may be proposed according to the preferred interior style of the owner 20. Further, as described above with reference to FIG. 23, data on the exterior may be proposed according to the style preferred by the owner 20.

As described above, in the floor plan proposal device 1 according to the modified example 3, when proposing the floor plan, it is not necessary to answer a large number of questions from the beginning, and the number of questions can be increased according to the wishes of the owner 20. .. As a result, in the floor plan proposal device 1 according to the modified example 3, it is possible to substantially allow the owner 20 to select the time required for the question, and the burden caused by the question can be reduced.

The second question does not have to be presented immediately after the first question, but may be presented after a certain period of time (for example, several days later). As a result, even if a part of the idea of the owner 20 changes, it is possible to make a highly reliable proposal without having to repeat the answer to the same question from the beginning.

[Modification example 4]
The floor plan proposal device according to the modified example 4 will be described with reference to FIG. 25. Since the configuration of the floor plan proposal device according to the modified example 4 is the same as that of the floor plan proposal device 1A described above with reference to FIG. 16, it will be described with reference to FIG. When proposing the floor plan, the floor plan proposal device 1A according to the modified example 4 proposes a plurality of floor plans in the order of ranking. Further, when the owner 20 registers a characteristic of a certain floor plan as a favorite, the floor plan having that characteristic is ranked high and re-proposed.

Specifically, the selection unit 114 selects a plurality of floor plans in the order of satisfaction with respect to the conditions required by the owner 20. The providing unit 115 can provide the floor plans in the order determined by the selection unit 114. Therefore, the providing unit 115 can provide the floor plans in an order that is easy for the owner 20 to see.

Further, the selection unit 114 may select the floor plan in the order in which the features selected by the owner 20 are prioritized and changed. For example, when the owner 20 registers "favorite" for the additional data provided by the providing unit 115 together with the floor plan, the calculation unit 113 calculates a score that gives priority to the floor plan having features associated with the additional data. Specifically, the calculation unit 113 sums the feature scores of the selected features, and proposes the floor plan in descending order of the obtained total score.

<Proposal of floor plan>
The proposal of the floor plan according to the modified example 4 will be described with reference to the flowchart shown in FIG. In the flowchart shown in FIG. 25, a process different from the above-described process using FIG. 12 will be described by underlining the reference numerals.

The selection unit 114 selects a plurality of houses having a high degree of satisfying the request of the owner 20 from the floor plan data 121 by using the target value score obtained in step S25 (S61). The process will be described below with reference to the example of FIG. 14, the selection unit 114 of the obtained value d _m, not only the floor plan of the smallest value as the floor plan ID associated "x4", select a smaller predetermined number of floor plan of values To do. For example, when selecting three floor plans, in addition to the floor plan ID “x4”, the floor plans “x1” and “x6” are also selected.

The providing unit 115 proposes the floor plans of the plurality of houses selected in step S61 in a ranking format (S62). In the example of FIG. 14, the floor plan ID "x1" value d _m of the "x6" are the same, either as "x1" floor plan "x6" is may be a first, but providing unit 115, The proposal is made using screen data displayed in a ranking format in which the floor plan of "x4" is arranged at the top, and then the floor plans of "x1" and "x6" are arranged.

For example, if the additional data provided with any of the floor plans is registered as a "favorite" preferred by the owner 20 (YES in S63), the arithmetic unit 113 ranks new according to the features associated with the additional data. The score for the calculation is calculated (S64). Specifically, for each floor plan ID, a value obtained by summing only the sufficiency associated with the feature associated with the additional data registered as "favorite" is obtained as a score, and the score is ranked in the order of each score.

In the example shown in FIG. 6, the floor plan IDs "x1", "x4" and "x6" are tentatively selected, and the feature related to "the living room is wide" identified by the feature ID "y16" is a "favorite". When registered, new rankings are made in the order of feature scores (FIG. 4) associated with this feature.

Specifically, the calculation unit 113 obtains the sum of the feature scores of the features registered as "favorites" as the updated score for each floor plan (S64).

The selection unit 114 determines a ranking as a house with a high degree of favorite of the respondents in the order of the score obtained in step S64, and selects a plurality of houses (S65). Here, when there are a plurality of floor plans having the same total score obtained in step S64, the selection unit 114 determines the ranking order in the order of the degree of satisfaction with respect to the condition required by the owner 20.

For example, when the feature ID "y16" in FIG. 5 for "wide living room" and the feature ID "y18" for "connecting the living room and the adjacent space to create a large space" are registered as "favorites". The floor plan (score: 7) with the floor plan ID “x2” that maximizes the score, which is the total value of the feature scores, is ranked first. In addition, the scores obtained for the floor plans of the floor plans IDs "x1", "x7", and "x9" are all the same for "6". A new ranking will be decided as 3rd and 4th place. In this way, by displaying the floor plan having the characteristic of "wide living room" selected by the owner 20 at the top of the ranking, it is possible to reflect the desire of the owner 20 for the specific floor plan feature in the ranking.

The provision unit 115 re-proposes the floor plan of the house in the new ranking order made in step S64 (S65).

After that, when the favorite is changed (YES in S66), the process returns to the process of step S64, and the process of steps S64 to S66 is repeated using the updated information on the favorite. In addition, when updating "favorites", in addition to newly registering features as favorites, features that have already been registered as favorites may be deleted from the target of favorites.

As described above, in the floor plan proposal device 1 according to the modified example 4, when proposing the floor plan, the arrangement of the floor plans can be changed according to the features that the owner 20 likes. As a result, the floor plan proposal device 1 according to the modified example 4 can provide the floor plan in an arrangement according to the lightness and weight of the owner 20's favorite living. In addition, the owner 20 will propose a floor plan that has the characteristics that he / she likes while learning the characteristics of each part of the floor plan, and that suits the living conditions that he / she desires, based on the additional data presented together with the floor plan. As a result, the feeling of conviction of the proposed floor plan increases.

[Modification 5]
The floor plan proposal device according to the modified example 5 will be described with reference to FIGS. 26 to 27B. Since the configuration of the floor plan proposal device according to the modified example 5 is the same as that of the floor plan proposal device 1 described above with reference to FIG. 12, it will be described with reference to FIG. When the floor plan proposal device 1 according to the modified example 5 proposes the floor plan to the owner 20, it explains the floor plan arrangement proposal and the explanatory text such as the recommended points of the floor plan. Therefore, the floor plan data 121 used in the floor plan proposal device 1 according to the modified example 5 includes a plurality of explanatory texts associated with the condition ID and the feature ID as additional data in a part of the floor plan.

In addition, the providing unit 115 uses the answers of the owner 20 included in the acquired data 126 to propose additional data such as arrangement proposals and explanations of recommended points together with the floor plan. Specifically, the providing unit 115 utilizes the importance score for each condition obtained by the calculation unit 113, and provides an explanatory text associated with the condition having a high importance score obtained.

<Proposal of arrangement space>
FIG. 26 is an example of a display screen W4 that proposes a floor plan that allows a room to be arranged into a “study”, a “children's room”, and a “hobby room”. The display screen W4 includes images b1 to b3 of the arranged room, respectively. In the example shown in FIG. 26, from the acquired data 126 obtained from the owner 20, it is determined that the owner 20 is likely to arrange the "study", and the image image b1 when the owner 20 arranges the "study" is displayed in the largest size. It is an example to be done. It should be noted that only the information recommended to the owner 20 may be displayed, and for example, the display screen W4 that does not include the image images b2 and b3 for the "children's room" and the "hobby room" may be proposed. .. As a result, the owner 20 can easily grasp that the existing floor plan is changed to his / her favorite space.

<Proposal of recommended points>
27A and 27B are examples of display screens W51 and W52 that propose the same floor plan to different owners 20. Even if the floor plan is characterized by a large kitchen, the explanations that describe the characteristics will differ depending on the conditions that the owner emphasizes. For example, in the display screen W51 shown in FIG. 27A, when the owner 20 attaches importance to "a feeling of openness", the proposal data includes an explanation that "you can cook comfortably in a large kitchen". On the other hand, as shown in FIG. 25B, when the owner 20 attaches great importance to "family gathering", the explanation "you can enjoy cooking with your family in a large kitchen" is included.

Here, in the floor plan data 121, there are a plurality of recommended points in the floor plan, and as shown in FIGS. 27A and 27B, the explanatory text is stored in association with the related conditions for each of these recommended points. The providing unit 115 provides an explanatory text that meets the conditions required by the owner 20. Specifically, in the floor plan data 121, there is a recommended point "explanatory text 1" associated with the condition ID "z1" and a recommended point "explanatory text 2" associated with the condition ID "z2". To do. Then, when the owner 20 attaches importance to the condition ID "z2", the providing unit 115 provides the "explanatory text 2".

Here, multiple recommended points are associated with the floor plan. Then, the providing unit 115 does not have to provide all the recommended points associated with the conditions that the owner 20 emphasizes, and may provide a predetermined number of recommended points. For example, the providing unit 115 may provide a predetermined number of recommended points for each floor plan, which are highly satisfied as shown in FIG. 13 and are associated with the conditions emphasized by the owner 20.

As described above, in the floor plan proposal device 1 according to the modified example 5, the floor plan data 121 is selected according to the conditions to be emphasized by the owner 20 obtained from the acquired data 126, including a plurality of explanatory texts associated with different conditions. A descriptive text can be included. This makes it easier for the owner 20 to determine whether the proposed floor plan is suitable for him / herself.

<< Other variants >>
In the example described above with reference (1) Example expressions with emphasis degree score to the selection of floor plans (2), the calculation of the value d _m, but using only the target score a _n a sufficiency f _mn, added Te, it is also possible to use the importance of scoring i _n. More specifically, the selection unit 114, for each floor plans, by comparing the d _m obtained using the following equation (3), selects the floor plan of the smallest value.

m: attached to floor plan number n: selected conditions given the number i _n: value level score a _n: target score f _mn: sufficiency

(2) Example of using weights selection of floor plan Also, the calculation of the value d _m, can be used a predetermined weight w. More specifically, the selection unit 114, for each floor plans, by comparing the d _m obtained using the following expression (4), selects the floor plan of the smallest value. The weight w is, for example, a constant set arbitrarily in advance.

m: attached to the floor plan number n: selected conditions attached a number i _n: value level score a _n: target value score f _mn: sufficiency w: weight

(3) Target value score In the above example, the target value score is obtained for the first condition and a fixed value is targeted for the second condition by using the first condition and the second condition. It was explained in the example of the value score. However, the present invention is not limited to this, and all may be set as the first condition, and a fixed value may not be set as the target value score.

(4) Prediction formula In the above example, the data for generating the prediction formula such as the plot shown in FIG. 11A is a value input by the planner or the contractor who undertakes the construction, but the data is not limited to this. For example, in (a) the floor plan proposal device, a value obtained based on a score or the like obtained as the degree of satisfaction of the owner with respect to the floor plan proposed to the owner in the past may be used. Further, in the floor plan proposal device (b), a value obtained from a history such as the number of accesses to the floor plan and the access time may be used for the floor plan proposed to the owner in the past.

Further, in the above example, the prediction formula is a regression formula obtained from the plotted values, but this is not limited to "linear regression", and logistic regression, support vector machine, decision tree, neural network, etc. The same is true using other methods.

<< Outline of Embodiment >>
(1) The floor plan proposal device of the present disclosure provides a plurality of questions, and obtains an answer to each question from the respondent, an acquisition unit, questions, answers, identification information of conditions required by the user for living, and questions. For each condition, the respondent attaches importance to the condition from the answer obtained by the acquisition department, using the importance data that associates multiple degrees of importance, which is an index for the user who selects the answer to the condition. A house with a floor plan that is associated with the calculation unit that obtains the degree of importance score, the result obtained by the calculation unit, the floor plan identification information that identifies the floor plan of the house, and the identification information of the conditions, and is identified by each floor plan identification information. Includes a selection unit that selects a floor plan with a high degree of satisfying the respondent's request from the floor plans of multiple houses as a proposal target to the respondent, using the degree of satisfaction, which is a value indicating the degree to which the condition is satisfied. ..

This makes it possible to propose a floor plan according to the lightness and weight of the respondent's request from multiple floor plans.

(2) In the floor plan proposal device of (1), the calculation unit obtains the sum of a plurality of importance levels specified by the combination of questions and answers for each condition as the priority level score, and the selection unit obtains the priority level score. A condition in which is equal to or greater than a predetermined threshold value may be selected as a condition that the respondent attaches importance to in daily life, and a floor plan that satisfies the degree of the respondent's request for the selected condition may be selected.

This makes it possible to propose a floor plan from among the floor plans selected according to the conditions that the respondents place importance on.

(3) In the floor plan proposal device of (2), the calculation unit satisfies the question, the answer, the identification information of the condition, and the condition requested by the user who selects the answer to the question. Using the target value data that associates a plurality of target values, which are indicators of the degree, with each of the conditions, the target value score, which is the degree to which the respondent seeks the condition, is obtained, and the selection unit obtains the target value score. May be used to select the floor plan to be proposed.

This makes it possible for respondents to propose a floor plan that is close to the target level in their daily lives.

(4) In the floor plan proposal device of (3), the calculation unit may obtain the sum of a plurality of target values specified by the combination of the question and the answer as the target value score for each condition.

This makes it easier for respondents to determine the degree of conditions required for their daily lives from each answer, and it is possible to propose a floor plan suitable for the respondents.

(5) In the floor plan proposal device of (4), the plurality of the above conditions are divided into a first condition and a second condition, and the calculation unit determines the target value score for the second condition. A preset value may be used as.

This makes it possible to set how to obtain the target value score according to the category of the condition, improve the accuracy of the target value score, and propose a floor plan suitable for the respondent.

(6) In the floor plan proposal device of (5), the selection unit may select the floor plan to be proposed by using the difference between the target value score of each of the above conditions and the degree of satisfaction.

As a result, the floor plan suitable for the respondent is selected, so it is possible to propose a floor plan suitable for the respondent.

(7) In the floor plan proposal device of (6), the selection unit uses a value obtained by multiplying the difference between the target value score for each condition and the degree of satisfaction by the priority score of the condition, and is the object of the proposal. You may choose the floor plan.

(8) In the floor plan proposal device of (1), the floor plan identification information, the feature identification information representing the characteristics of the floor plan of the house, and the house with the floor plan identified by the floor plan identification information are represented by the feature identification information. The feature score data associated with the feature score, which is a value indicating the degree to which the feature is satisfied, the feature identification information, the identification information of the condition, and the feature of the floor plan identified by the feature identification information are the identification information of the condition. From the coefficient data that associates with the coefficient set by the influence on the condition identified in, for each floor plan identification information, the sufficiency degree is obtained by using the sum of products of the feature score and the coefficient for each condition. A generation unit that generates the sufficiency data by associating the sufficiency with the floor plan identification information and the identification information of the conditions may be further provided.

This makes it possible to generate sufficiency data from the feature score and coefficient, use it for selecting the floor plan, and propose a floor plan suitable for the respondent.

(9) In the floor plan proposal device of (8), the generation unit may use the value obtained by adjusting the value obtained by the sum of products by using a predetermined prediction formula as the degree of sufficiency.

This makes it possible to more accurately propose a floor plan suitable for the respondent by using the sufficiency data generated by adjusting using the prediction formula.

(10) In the floor plan proposal device of (1), the floor plans of a plurality of houses are previously associated with the type of interior style and additional data regarding the type of interior style, and the acquisition unit provides a second question. , Acquire the answer to the second question together with the answer from the respondent, and the acquisition department uses the interior classification data that associates the answer to the second question with the type of interior style that the user wants from the house. From the answer to the second question, the specific part that specifies the type of interior style to be presented to the respondent is further provided, and the selection part has a high degree of satisfying the respondent's request when selecting the floor plan, and The floor plan and additional data that match the type specified in the specific part may be selected as the proposal target.

This makes it possible to propose a floor plan along with additional data regarding the interior of the respondent's preference.

(11) In the floor plan proposal device of (10), the type of exterior of the house that matches the type of interior style is determined in advance, and the floor plan, data on multiple exteriors of the house with the floor plan, and the style of each exterior An extraction unit that extracts data related to the type of interior style specified in the specific unit and the corresponding exterior from the exterior data associated with the type may be further provided.

This makes it possible to propose a floor plan along with information on the respondent's favorite exterior.

(12) In the floor plan proposal device of (1), the acquisition unit provides a plurality of new questions, new answers to each new question are acquired from the respondents, and the calculation unit is newly acquired by the acquisition unit. When an answer is obtained, a new priority score is obtained for each condition using the answer obtained in the past and a new answer, and the selection unit uses the result newly obtained by the calculation unit. You may select the floor plan again.

This can reduce the burden on respondents due to questions.

(13) In the floor plan proposal device of (12), the calculation unit may obtain a new importance score by giving priority to a new answer over the answers obtained in the past.

This makes it possible to propose a highly reliable floor plan.

(14) In the floor plan proposal device of (1), the selection unit may select a plurality of floor plans in the order of sufficiency.

This makes it easier for respondents to select the appropriate floor plan because multiple floor plans are selected in a ranking format.

(15) In the floor plan proposal device of (14), the selection unit may change the order in preference to the features selected by the respondents.

This makes it easier for respondents to determine the appropriate floor plan because they are selected in a ranking format that reflects the respondents' intentions.

(16) The floor plan proposal device of (1) further includes a providing unit that provides information associated with a part of the floor plan according to the result obtained by the calculation unit for the floor plan selected by the selection unit. May be good.

This will propose a floor plan along with information suitable for the respondent, and it will be easier for the respondent to determine the suitable floor plan.

(17) The floor plan proposal method of the present disclosure provides a plurality of questions, obtains an answer to each question from the respondent, and identifies the question, the answer, and the condition that the user demands for living. And, for each condition, from the answer obtained from the respondent, using the importance data associating a plurality of the importance degree which is an index for the user who selected the answer to the question to attach importance to the condition. Each floor plan is associated with the calculation step for obtaining the importance score, which is the degree to which the respondent attaches importance to the condition, the result obtained in the calculation step, the floor plan identification information for identifying the floor plan of the house, and the condition identification information. Using the degree of sufficiency, which is a value indicating the degree to which the house with the floor plan identified by the identification information satisfies the condition, the floor plan with a high degree of satisfying the request of the respondent is selected from the floor plans of the plurality of houses. Includes a selection step to select as a proposal to the person.

(18) The program of the present disclosure allows a computer to realize the method of (17).

The floor plan proposal device and the floor plan proposal method described in all the claims of the present disclosure are realized by cooperation with hardware resources such as a processor, a memory, and a program.

The floor plan proposal device, floor plan proposal method and program of the present disclosure are useful for proposing the floor plan of a house when constructing a house.

1 Floor plan proposal device 11 Control unit 111 Generation unit 112 Acquisition unit 113 Calculation unit 114 Selection unit 115 Providing unit 12 Storage unit 121 Floor plan data 122 Feature score data 123 Coefficient data 124 Satisfaction level data 125 Question data 126 Acquisition data 127 Emphasis level data 128 Target value data 13 Input unit 14 Output unit 15 Communication I / F
P floor plan proposal program

Claims

An acquisition department that provides multiple questions and obtains answers to each question from respondents,
Using the question, the answer, the identification information of the condition that the user wants for living, and the importance data that associates a plurality of importance, which is an index of the degree to which the user who selects the answer for the question attaches importance to the condition. Then, for each condition, a calculation unit for obtaining an emphasis score, which is the degree to which the respondent attaches importance to the condition, from the answer acquired by the acquisition unit.
The result obtained by the calculation unit is associated with the floor plan identification information for identifying the floor plan of the house and the identification information of the condition, and indicates the degree to which the house with the floor plan identified by each of the floor plan identification information satisfies the condition. A selection unit that selects a floor plan having a high degree of satisfying the request of the respondent from a plurality of floor plans of the house as a proposal target to the respondent by using the sufficiency degree which is a value.
Floor plan proposal device including.
The calculation unit
For each of the conditions, the sum of a plurality of importance levels specified by the combination of the question and the answer is obtained as the priority level score.
The selection unit
The condition according to claim 1, wherein a condition in which the priority score is equal to or higher than a predetermined threshold value is selected as a condition to be emphasized by the respondent in daily life, and a floor plan satisfying the degree of request of the respondent is selected for the selected condition. Floor plan proposal device.
The calculation unit
Using target value data that associates a plurality of the question, the answer, the identification information of the condition, and a target value that is an index indicating the degree of satisfaction of the condition requested by the user who selected the answer for the question. Then, for each of the conditions, the target value score, which is the degree to which the respondent requests the condition, is obtained.
The selection unit
The floor plan proposal device according to claim 2, wherein the floor plan to be proposed is selected by using the target value score.
The calculation unit
For each of the conditions, the sum of a plurality of target values specified by the combination of the question and the answer is obtained as the target value score.
The floor plan proposal device according to claim 3.
The plurality of said conditions are distinguished into a first condition and a second condition.
The calculation unit
The floor plan proposal device according to claim 4, wherein a preset value is used as the target value score for the second condition.
The selection unit
The floor plan proposal device according to claim 5, wherein the floor plan to be proposed is selected by using the difference between the target value score of each condition and the degree of sufficiency.
The selection unit
The floor plan proposal device according to claim 6, wherein the floor plan to be proposed is selected by using a value obtained by multiplying the difference between the target value score for each condition and the degree of satisfaction by the priority score of the condition.
The floor plan identification information, the feature identification information representing the characteristics of the floor plan of the house, and the feature score which is a value indicating the degree to which the house of the floor plan identified by the floor plan identification information satisfies the features represented by the feature identification information. Feature score data associated with
From the feature identification information, the coefficient data that associates the identification information of the condition with the coefficient set by the influence of the floor plan feature identified by the feature identification information on the condition identified by the identification information of the condition. ,
For each floor plan identification information, the sufficiency degree is obtained by using the sum of products of the feature score and the coefficient for each condition, and the sufficiency degree is associated with the floor plan identification information and the identification information of the condition to obtain the sufficiency degree data. The floor plan proposal device according to any one of claims 1 to 5, further comprising a generation unit for generating the above.
The generator
The floor plan proposal device according to claim 8, wherein the value obtained by adjusting the value obtained by the sum of products is adjusted by using a predetermined prediction formula, and the value obtained is defined as the degree of sufficiency.
The floor plans of the plurality of houses are pre-associated with the type of interior style and additional data regarding the type of interior style.
The acquisition unit provides the second question, and acquires the answer to the second question together with the answer from the respondent.
The interior to be presented to the respondent from the answer to the second question acquired by the acquisition unit using the interior classification data that associates the answer to the second question with the type of interior style that the user requests for the house. It also has a specific part that identifies the type of style of
When selecting a floor plan, the selection unit selects a floor plan and additional data that satisfy the demands of the respondents and that match the type specified in the specific unit as a proposal target. The floor plan proposal device according to any one of 9.
The type of exterior of the house that matches the type of interior style is predetermined,
From the floor plan, the data on the plurality of exteriors of the house of the floor plan, and the exterior data in which the type of each exterior style is associated, the data on the exterior style corresponding to the type of interior style specified in the specific part is extracted. The floor plan proposal device according to claim 10, further comprising an extraction unit.
The acquisition unit provides a plurality of new questions in response to a request, acquires new answers to each new question from the respondents, and obtains new answers.
When the acquisition unit acquires the new answer, the calculation unit obtains a new importance score for each condition by using the previously acquired answer and the new answer.
The floor plan proposal device according to any one of claims 1 to 9, wherein the selection unit selects the floor plan again using the result newly obtained by the calculation unit.
The floor plan proposal device according to claim 12, wherein the calculation unit gives priority to the new answer over the answers obtained in the past, and obtains the new importance score.
The floor plan proposal device according to any one of claims 1 to 13, wherein the selection unit selects a plurality of floor plans in the order of sufficiency.
The floor plan proposal device according to claim 14, wherein the selection unit preferentially changes the order of the features selected by the respondent.
One of claims 1 to 15, further comprising a providing unit that provides information associated with a part of the floor plan according to the result obtained by the calculation unit for the floor plan selected by the selecting unit. The described floor plan proposal device.
An acquisition step that provides multiple questions and obtains answers to each question from respondents,
Emphasis data that associates the question, the answer, the identification information of the condition that the user wants for living, and the degree of importance that is an index for the user who selects the answer to the question to attach importance to the condition. For each condition, a calculation step for obtaining an emphasis score, which is the degree to which the respondent attaches importance to the condition, from the answers obtained from the respondent, and
The result obtained in the calculation step is associated with the floor plan identification information for identifying the floor plan of the house and the identification information of the condition, and indicates the degree to which the house with the floor plan identified by each of the floor plan identification information satisfies the condition. A selection step of selecting a floor plan having a high degree of satisfying the request of the respondent from a plurality of floor plans of the house as a proposal target to the respondent by using the sufficiency degree which is a value.
Floor plan proposal method including.
A floor plan proposal program that enables a computer to realize the floor plan proposal method according to claim 17.