System

Abstract

An object of a system according to an embodiment is to provide a plan that satisfies a client in a short period of time by efficiently performing processes from planning of an ordered house to creation of a construction drawing.SOLUTION: A system according to an embodiment includes an owner information acquiring unit, a floor plan proposing unit, a 3D perspective generating unit, an approximate amount calculating unit, a Metaverse generating unit, and a working drawing creating unit. The client information acquisition unit acquires client information. The floor plan proposal unit proposes an optimal floor plan based on the client information acquired by the client information acquisition unit. The 3D perspective drawing generator generates a 3D perspective drawing based on the floor plan proposed by the floor plan proposing unit. The approximate amount calculation unit calculates an approximate amount based on the 3D perspective drawing generated by the 3D perspective drawing generation unit. The Metaverse generation unit automatically generates a 3D perspective view in the Metaverse. The construction drawing creation unit creates a construction drawing when the client is satisfied with the plan.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, the process from planning a custom home to creating construction drawings was complicated, making it difficult to provide a plan that satisfied the client in a short period of time.

[0005] The system of the embodiment aims to efficiently carry out the process from planning a custom-built home to creating construction drawings, and to provide a plan that satisfies the client in a short period of time. [Means for solving the problem]

[0006] The system according to the embodiment includes a client information acquisition unit, a floor plan proposal unit, a 3D perspective generation unit, an estimated cost calculation unit, a metaverse generation unit, and a working drawing creation unit. The client information acquisition unit acquires client information. The floor plan proposal unit proposes an optimal floor plan based on the client information acquired by the client information acquisition unit. The 3D perspective generation unit generates a 3D perspective drawing based on the floor plan proposed by the floor plan proposal unit. The estimated cost calculation unit calculates an estimated cost based on the 3D perspective drawing generated by the 3D perspective generation unit. The metaverse generation unit automatically generates the 3D perspective drawing in the metaverse. The working drawing creation unit creates working drawings when the client is satisfied with the plan. [Effects of the Invention]

[0007] The system according to the embodiment efficiently carries out the process from planning a custom-built home to creating construction drawings, and can provide a plan that satisfies the client in a short period of time. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8]FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The custom home planning system according to an embodiment of the present invention uses AI to automatically propose optimal floor plans, generate 3D perspective drawings, calculate approximate costs, and create construction drawings based on information provided by the client. This allows the custom home planning system to efficiently and quickly carry out everything from planning to construction of a custom home based on the information provided by the client.

[0029] A custom-built home planning system according to an embodiment includes a client information acquisition unit, a floor plan proposal unit, a 3D perspective generation unit, an estimated cost calculation unit, a metaverse generation unit, and a construction drawing creation unit. The client information acquisition unit acquires client information, such as the client's family composition, desired floor plan, land plan, and desired exterior design. The floor plan proposal unit proposes an optimal floor plan based on the client information acquired by the client information acquisition unit. For example, the floor plan proposal unit determines the size of the living room and the layout of each room based on the family composition and desired floor plan. The 3D perspective generation unit generates a 3D perspective drawing based on the floor plan proposed by the floor plan proposal unit. For example, the 3D perspective drawing reflects the furniture arrangement in the living room and the exterior wall design. The estimated cost calculation unit calculates an estimated cost based on the 3D perspective drawing generated by the 3D perspective generation unit. For example, the total cost is presented taking into account the costs of building materials and equipment used. The metaverse generation unit automatically generates the 3D perspective drawing within the metaverse. For example, a user can use a VR headset to freely walk around the house. The construction drawing creation unit creates construction drawings when the client is satisfied with the plan. For example, construction drawings that include details of foundation work and piping work are generated. This allows the custom home planning system according to the embodiment to efficiently and quickly carry out the process from planning to construction of a custom home based on the information provided by the client.

[0030] The client information acquisition unit collects the client's past residential history or lifestyle data, allowing for more personalized proposals. The client information acquisition unit, for example, collects the client's past residential history and analyzes what kind of floor plans and designs they preferred. For example, the client is asked to provide floor plans and photos of homes they previously lived in, and new proposals are made based on this. The client's lifestyle data is also collected and their daily behavior patterns and hobbies and preferences are analyzed. For example, it determines which rooms the client frequently uses and at what time of day, and what kind of interior design they prefer. The unit also conducts a survey about the client's past residences to collect information on their comfort and dissatisfaction. For example, it asks about what they particularly liked about their past residences and what they would like to improve, and reflects this in new proposals. This enables more personalized proposals to be made based on the client's past residential history and lifestyle data.

[0031] The client information acquisition unit can propose an interior design based on the client's hobbies and preferences. The client information acquisition unit, for example, collects information about the client's hobbies and preferences and proposes an interior design based on that information. For example, if the client is interested in art, the client information acquisition unit proposes a space to display artwork. The client's favorite colors and materials are also heard, and the interior design is customized based on that. For example, if the client likes wood, the client information acquisition unit proposes a design that makes extensive use of wood. The client information acquisition unit also proposes dedicated spaces that suit the client's hobbies. For example, if the client is a musician, the client information acquisition unit proposes a music studio or listening room. This makes it possible to propose an interior design based on the client's hobbies and preferences.

[0032] The floor plan proposal unit can propose a floor plan based on the client's health condition and lifestyle. The floor plan proposal unit, for example, collects information about the client's health condition and proposes a floor plan based on that information. For example, if the client has allergies, it proposes a design that suppresses allergens. It also analyzes the client's lifestyle and customizes the floor plan based on that. For example, if the client is an early riser, it proposes a bedroom where morning sunlight streams in. It also proposes a dedicated space for maintaining health. For example, if the client's hobby is fitness, it proposes a home gym. This makes it possible to propose a floor plan that takes the client's health condition and lifestyle into consideration.

[0033] The floor plan proposal unit can propose floor plans based on the client's future life stage. For example, the floor plan proposal unit considers the client's future life stage and proposes a floor plan that is suited to the growth of children. For example, it proposes a design that allows a child's room to be divided in the future. It also considers the client's old age and proposes a barrier-free design. For example, it proposes floors with no steps and the installation of handrails. It also proposes flexible floor plans that can accommodate the client's changing life stage. For example, it proposes a design that allows the use of rooms to be changed in the future. This makes it possible to propose floor plans that consider the client's future life stage.

[0034] The floor plan proposal unit can propose floor plans that suit different climatic conditions and regional characteristics. For example, the floor plan proposal unit considers the climatic conditions of the region where the client lives and proposes a floor plan that suits it. For example, in cold regions, it proposes a design with high insulation performance. It also proposes floor plans that suit regional characteristics. For example, in regions with frequent earthquakes, it strengthens earthquake-resistant designs. It also proposes floor plans that are highly energy efficient based on climatic conditions and regional characteristics. For example, it proposes a design that incorporates a solar power generation system. This makes it possible to propose floor plans that suit different climatic conditions and regional characteristics.

[0035] The floor plan proposal unit can propose dedicated spaces according to the hobbies and activities of the client. The floor plan proposal unit, for example, proposes dedicated spaces according to the hobbies of the client. For example, if the client's hobby is painting, it proposes an art studio. Also, it proposes dedicated spaces according to the client's activities. For example, if the client's hobby is fitness, it proposes a home gym. Also, it customizes the layout and design of the dedicated spaces based on the client's hobbies and activities. For example, if the client's hobby is music, it proposes a soundproof room. This makes it possible to propose dedicated spaces according to the client's hobbies and activities.

[0036] The 3D perspective generation unit can place avatars of the client's family and pets in the 3D perspective drawing, providing a more realistic experience. The 3D perspective generation unit places avatars in the 3D perspective drawing based on, for example, information about the client's family and pets. For example, it can recreate a scene where the whole family is spending time in the living room. It can also dynamically place avatars of the client's family and pets to simulate different situations. For example, it can recreate a scene where the family is having a meal or the pets are playing in the garden. It can also customize avatars of the client's family and pets to provide a more realistic experience. For example, it can recreate the faces and clothing of family members in a realistic manner. This allows it to place avatars of the client's family and pets, providing a more realistic experience.

[0037] The 3D perspective generation unit can reflect changes in the seasons and time of day in the 3D perspective drawing, providing how the house looks in different situations. For example, the 3D perspective generation unit can reflect changes in the seasons in the 3D perspective drawing, providing how the house looks in different seasons. For example, it can recreate a scene of cherry blossoms blooming in spring or a snowy winter landscape. It can also reflect changes in the time of day in the 3D perspective drawing, providing how the house looks in different times of day. For example, it can recreate a scene with the morning sun shining in or a scene lit up at night. It can also dynamically reflect changes in the seasons and time of day, allowing the client to freely switch between situations. For example, it provides a function that allows the user to change the season or time of day using a slider. This allows the user to reflect changes in the seasons and time of day and provide how the house looks in different situations.

[0038] The 3D perspective generation unit can use AR technology to overlay the 3D perspective drawing on the actual land. For example, the 3D perspective generation unit uses AR technology to overlay the 3D perspective drawing on the land owned by the client. For example, using a smartphone or tablet, the exterior of the house can be overlaid on the actual land. AR technology is also used to adjust the 3D perspective drawing to match the topography and environment of the actual land. For example, the placement of the house can be optimized by taking into account the slope of the land and surrounding buildings. AR technology can also be used to enable the client to adjust the placement and design of the house in real time while overlaying the 3D perspective drawing on the actual land. For example, a function is provided to change the orientation and position of the house. This allows the 3D perspective drawing to be overlaid on the actual land using AR technology.

[0039] The 3D perspective generation unit can arrange the furniture and interior design selected by the client in the 3D perspective drawing to simulate real life. For example, the 3D perspective generation unit arranges the furniture and interior design selected by the client in the 3D perspective drawing to simulate real life. For example, it arranges the sofa and table selected by the client in the living room. It also provides an interface that allows the client to freely arrange the furniture and interior design, enabling them to customize the 3D perspective drawing. For example, it provides a function to arrange furniture by drag and drop. It also updates the 3D perspective drawing in real time based on the arrangement of the furniture and interior design selected by the client to simulate real life. For example, the 3D perspective drawing is automatically updated every time the furniture arrangement is changed. This allows the client to arrange the furniture and interior design selected to simulate real life.

[0040] The estimated cost calculation unit can propose the optimal combination of building materials and equipment based on the client's budget. The estimated cost calculation unit proposes the optimal combination of building materials and equipment based on the client's budget information, for example. For example, it selects high-quality building materials within the budget to maximize cost performance. It also proposes multiple combinations of building materials and equipment based on the client's budget and provides options. For example, it makes proposals by grade based on the budget. It also calculates the costs of building materials and equipment in real time based on the client's budget information and proposes the optimal combination. For example, it automatically adjusts so as not to go over budget. This makes it possible to propose the optimal combination of building materials and equipment based on the client's budget.

[0041] The approximate cost calculation unit can present an approximate cost that also takes into account the client's future maintenance costs. The approximate cost calculation unit, for example, presents an approximate cost that takes into account the client's future maintenance costs. For example, it presents a total amount including the costs of parts that require regular maintenance. It also makes suggestions for minimizing maintenance costs and presents an approximate cost based on those suggestions. For example, it reduces future maintenance costs by using highly durable building materials. It also presents an approximate cost that includes maintenance costs, taking into account the client's future life stages. For example, it proposes a maintenance plan that takes into account the growth of children and retirement. This makes it possible to present an approximate cost that also takes future maintenance costs into account.

[0042] The estimate calculation unit can provide a function to automatically collect and compare estimates from different construction companies. The estimate calculation unit, for example, automatically collects estimates from different construction companies and presents them to the client. For example, it compares estimates from multiple companies and provides the optimal option. It also evaluates cost performance based on the estimates from the construction companies and makes the optimal proposal to the client. For example, it makes a proposal that takes into account the balance between cost and quality. It also visually displays the results of the estimate comparison to the client, presenting the options in an easy-to-understand manner. For example, it shows the differences in estimates using graphs and charts. This makes it possible to provide a function to automatically collect and compare estimates from different construction companies.

[0043] The approximate cost calculation unit can propose options for eco-friendly building materials and equipment according to the client's wishes. The approximate cost calculation unit, for example, proposes options for eco-friendly building materials and equipment according to the client's wishes. For example, it proposes equipment that uses renewable energy and environmentally friendly building materials. It also presents an approximate cost taking into account the cost of eco-friendly building materials and equipment. For example, it compares initial costs with long-term costs and provides the optimal option. It also explains the benefits of eco-friendly building materials and equipment to the client and proposes options based on that. For example, it explains improved energy efficiency and reduced environmental impact. In this way, it is possible to propose options for eco-friendly building materials and equipment according to the client's wishes.

[0044] The metaverse generation unit can place avatars of the client's family and pets during the virtual experience, providing a more realistic experience. The metaverse generation unit places avatars during the virtual experience based on, for example, information about the client's family and pets. For example, it can recreate a scene where the whole family is spending time in the living room. It can also dynamically place avatars of the client's family and pets to simulate different situations. For example, it can recreate a scene where the family is having a meal or the pets are playing in the garden. It can also customize avatars of the client's family and pets to provide a more realistic experience. For example, it can recreate the faces and clothing of family members in a manner that is close to reality. In this way, it can provide a more realistic virtual experience by placing avatars of the client's family and pets.

[0045] The metaverse generation unit can provide simulations of different seasons and time periods during the virtual experience. For example, the metaverse generation unit simulates seasonal changes during the virtual experience to provide how the house would look in different seasons. For example, it can recreate a scene of cherry blossoms blooming in spring or a snowy winter landscape. It can also simulate changes in time periods during the virtual experience to provide how the house would look in different times of the day. For example, it can recreate a scene with the morning sun shining in or a scene lit up at night. It can also dynamically reflect changes in seasons and time periods, allowing the client to freely switch between situations. For example, it can provide a function that allows the user to change the season or time period using a slider. This allows for simulations of different seasons and time periods to provide a more diverse virtual experience.

[0046] The metaverse generation unit can arrange furniture and interior decor selected by the client during the virtual experience to simulate real life. For example, the metaverse generation unit arranges furniture and interior decor selected by the client during the virtual experience to simulate real life. For example, it arranges a sofa and table selected by the client in a living room. It also provides an interface that allows the client to freely arrange furniture and interior decor, enabling customization of the virtual experience. For example, it provides a function for arranging furniture by drag and drop. It also updates the virtual experience in real time based on the arrangement of furniture and interior decor selected by the client to simulate real life. For example, the virtual experience is automatically updated every time the arrangement of furniture is changed. This allows real life to be simulated by arranging the furniture and interior decor selected by the client.

[0047] The metaverse generation unit can provide interactive functions that allow the client to freely change the floor plan and design during the virtual experience. The metaverse generation unit, for example, provides an interface that allows the client to freely change the floor plan and design during the virtual experience. For example, it provides functions to change the position of walls and adjust the size of rooms. In addition, a system is constructed in which the 3D perspective drawing is updated in real time every time the client changes the floor plan or design during the virtual experience. For example, when the client moves a wall, the 3D perspective drawing changes on the spot. In addition, the interactive function can be used to allow the client to try out different floor plans and designs during the virtual experience. For example, multiple design options can be provided and the client can select from them. This makes it possible to provide interactive functions that allow the client to freely change the floor plan and design.

[0048] The construction drawing creation unit can propose designs based on future renovations and expansions. The construction drawing creation unit, for example, takes into account the client's future renovations and expansions and reflects this in the construction drawings. For example, it proposes a design that allows for the addition of rooms in the future. It also reflects a flexible design in the construction drawings to make renovations and expansions easy. For example, it creates a structure that makes it easy to remove walls. It also takes into account the client's future life stages and reflects in the construction drawings the possibility that renovations and expansions will be necessary. For example, it proposes a design that takes into account the growth of children and retirement. This makes it possible to propose a design that takes future renovations and expansions into consideration.

[0049] The construction drawing creation unit can propose designs based on the safety of the client's family and pets. The construction drawing creation unit, for example, considers the safety of the client's family and pets and reflects this in the construction drawings. For example, it designs spaces where children can play safely and areas where pets can spend time comfortably. It also reflects designs to enhance safety in the construction drawings. For example, it installs handrails on stairs and uses non-slip flooring. It also proposes designs to ensure the safety of the client's family and pets and reflects these in the construction drawings. For example, it installs pet gates and child safety locks. This makes it possible to propose designs that take the safety of the client's family and pets into consideration.

[0050] The construction drawing creation unit can use AR technology to overlay the construction drawings on the actual land. The construction drawing creation unit, for example, uses AR technology to overlay the construction drawings on the land owned by the client. For example, the construction drawings can be viewed overlaid on the actual land using a smartphone or tablet. AR technology is also used to adjust the construction drawings to fit the topography and environment of the actual land. For example, the construction drawings are optimized taking into account the slope of the land and surrounding buildings. AR technology also allows the client to adjust the layout and design of the house in real time while overlaying the construction drawings on the actual land. For example, a function to change the orientation and position of the house is provided. This allows the construction drawings to be overlaid on the actual land using AR technology.

[0051] The construction drawing creation unit can arrange the furniture and interior design selected by the client in the construction drawing to simulate actual life. The construction drawing creation unit, for example, arranges the furniture and interior design selected by the client in the construction drawing to simulate actual life. For example, it arranges the sofa and table selected by the client in the living room. It also provides an interface that allows the client to freely arrange the furniture and interior design, enabling customization of the construction drawing. For example, it provides a function for arranging furniture by drag and drop. It also updates the construction drawing in real time based on the arrangement of the furniture and interior design selected by the client to simulate actual life. For example, the construction drawing is automatically updated every time the furniture arrangement is changed. This makes it possible to simulate actual life by arranging the furniture and interior design selected by the client.

[0052] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0053] The client information acquisition unit can also make suggestions based on the client's health condition. For example, if the client has allergies, it can propose a design that suppresses allergens. It can also analyze the client's lifestyle and customize the floor plan based on that. For example, if the client is an early riser, it can suggest a bedroom where morning sunlight streams in. It can also suggest a dedicated space for maintaining health. For example, if the client's hobby is fitness, it can suggest a home gym. This makes it possible to propose floor plans that take the client's health condition and lifestyle into consideration.

[0054] The client information acquisition unit can also propose interior designs based on the client's hobbies and preferences. For example, if the client is interested in art, it can propose a space to display artwork. It can also ask the client about their favorite colors and materials and customize the interior design based on that. For example, if the client likes wood, it can propose a design that makes extensive use of wood. It can also propose dedicated spaces that suit the client's hobbies. For example, if the client is a musician, it can propose a music studio or listening room. This makes it possible to propose interior designs based on the client's hobbies and preferences.

[0055] The floor plan proposal unit can also propose floor plans based on the client's future life stage. For example, it can propose a floor plan that takes into account the client's future life stage and is suited to the growth of children. For example, it can propose a design that allows a child's room to be divided in the future. It can also propose a barrier-free design that takes into account the client's old age. For example, it can propose floors with no steps and the installation of handrails. It can also propose flexible floor plans that can accommodate the client's changing life stage. For example, it can propose a design that allows the use of rooms to be changed in the future. This makes it possible to propose floor plans that take into account the client's future life stage.

[0056] The floor plan proposal unit can also propose floor plans that suit different climatic conditions and regional characteristics. For example, it can propose a floor plan that is suitable for the climatic conditions of the region where the client lives. For example, it can propose a design with high insulation performance in cold regions. It can also propose floor plans that suit regional characteristics. For example, it can strengthen earthquake-resistant designs in regions with frequent earthquakes. It can also propose floor plans that are highly energy-efficient based on climatic conditions and regional characteristics. For example, it can propose a design that incorporates a solar power generation system. This makes it possible to propose floor plans that suit different climatic conditions and regional characteristics.

[0057] The 3D perspective generation unit can also place avatars of the client's family and pets in the 3D perspective drawing to provide a more realistic experience. For example, avatars can be placed in the 3D perspective drawing based on information about the client's family and pets. A scene of the whole family spending time in the living room can be recreated. Avatars of the client's family and pets can also be dynamically placed to simulate different situations. Scenes of the family having a meal or pets playing in the garden can be recreated. Avatars of the client's family and pets can also be customized to provide a more realistic experience. The family's faces and clothing can be recreated in a realistic manner. This allows the placement of avatars of the client's family and pets to provide a more realistic experience.

[0058] The 3D perspective generation unit can also reflect changes in the seasons and time of day in the 3D perspective drawing, providing views of the house in different situations. For example, by reflecting changes in the seasons in the 3D perspective drawing, it is possible to provide views of the house in different seasons. Scenes of cherry blossoms blooming in spring and snowy winter scenery can be recreated. Changes in the time of day can also be reflected in the 3D perspective drawing, providing views of the house in different times of day. Scenes with morning sunlight shining in and scenes lit up at night can be recreated. It is also possible to dynamically reflect changes in the seasons and time of day, allowing the client to freely switch between situations. A function can be provided that allows the user to change the season or time of day using a slider. This makes it possible to provide views of the house in different situations by reflecting changes in the seasons and time of day.

[0059] The 3D perspective generation unit can also use AR technology to overlay the 3D perspective drawing on the actual land. For example, the 3D perspective drawing can be overlaid on the land owned by the client using AR technology. The exterior of the house can be overlaid on the actual land using a smartphone or tablet. AR technology can also be used to adjust the 3D perspective drawing to match the topography and environment of the actual land. The placement of the house can be optimized taking into account the slope of the land and surrounding buildings. AR technology can also be used to enable the client to adjust the placement and design of the house in real time while overlaying the 3D perspective drawing on the actual land. A function to change the orientation and position of the house can be provided. This allows the 3D perspective drawing to be overlaid on the actual land using AR technology.

[0060] The processing flow of the first embodiment will be briefly explained below.

[0061] Step 1: The client information acquisition unit acquires client information, such as the client's family composition, desired floor plan, land plan, and desired exterior appearance. Step 2: The floor plan proposal unit proposes an optimal floor plan based on the client information acquired by the client information acquisition unit. For example, it determines the size of the living room and the layout of each room based on the client's family composition and desired floor plan. Step 3: The 3D perspective generation unit generates a 3D perspective drawing based on the floor plan proposed by the floor plan proposal unit. For example, the furniture arrangement in the living room and the exterior wall design are reflected in the 3D perspective drawing. Step 4: The estimated cost calculation unit calculates an estimated cost based on the 3D perspective drawing generated by the 3D perspective drawing generation unit. For example, the total cost is presented taking into account the costs of the building materials and equipment to be used. Step 5: The Metaverse Generator automatically generates a 3D perspective view in the Metaverse. For example, you can walk around your house freely using a VR headset. Step 6: If the client is satisfied with the plan, the construction drawing creation unit creates a construction drawing, which includes details of the foundation work and piping work, for example.

[0062] (Example 2) The custom home planning system according to an embodiment of the present invention uses AI to automatically propose optimal floor plans, generate 3D perspective drawings, calculate approximate costs, and create construction drawings based on information provided by the client. This allows the custom home planning system to efficiently and quickly carry out everything from planning to construction of a custom home based on the information provided by the client.

[0063] A custom-built home planning system according to an embodiment includes a client information acquisition unit, a floor plan proposal unit, a 3D perspective generation unit, an estimated cost calculation unit, a metaverse generation unit, and a construction drawing creation unit. The client information acquisition unit acquires client information, such as the client's family composition, desired floor plan, land plan, and desired exterior design. The floor plan proposal unit proposes an optimal floor plan based on the client information acquired by the client information acquisition unit. For example, the floor plan proposal unit determines the size of the living room and the layout of each room based on the family composition and desired floor plan. The 3D perspective generation unit generates a 3D perspective drawing based on the floor plan proposed by the floor plan proposal unit. For example, the 3D perspective drawing reflects the furniture arrangement in the living room and the exterior wall design. The estimated cost calculation unit calculates an estimated cost based on the 3D perspective drawing generated by the 3D perspective generation unit. For example, the total cost is presented taking into account the costs of building materials and equipment used. The metaverse generation unit automatically generates the 3D perspective drawing within the metaverse. For example, a user can use a VR headset to freely walk around the house. The construction drawing creation unit creates construction drawings when the client is satisfied with the plan. For example, construction drawings that include details of foundation work and piping work are generated. This allows the custom home planning system according to the embodiment to efficiently and quickly carry out the process from planning to construction of a custom home based on the information provided by the client.

[0064] The client information acquisition unit collects the client's past residential history or lifestyle data, allowing for more personalized proposals. The client information acquisition unit, for example, collects the client's past residential history and analyzes what kind of floor plans and designs they preferred. For example, the client is asked to provide floor plans and photos of homes they previously lived in, and new proposals are made based on this. The client's lifestyle data is also collected and their daily behavior patterns and hobbies and preferences are analyzed. For example, it determines which rooms the client frequently uses and at what time of day, and what kind of interior design they prefer. The unit also conducts a survey about the client's past residences to collect information on their comfort and dissatisfaction. For example, it asks about what they particularly liked about their past residences and what they would like to improve, and reflects this in new proposals. This enables more personalized proposals to be made based on the client's past residential history and lifestyle data.

[0065] The client information acquisition unit can use the client's emotion estimation function to analyze the client's emotional state at the time of input and provide a less stressful input interface. For example, when the client inputs information, the client information acquisition unit analyzes facial expressions and voice tone to estimate the client's emotional state in real time. For example, if the client is feeling stressed, the input interface is simplified. Furthermore, the emotion estimation function is used to dynamically change the color and design of the interface so that the client can enter information in a relaxed state. For example, if the client is nervous, the color is changed to a more subdued color. Furthermore, guide messages and encouraging messages are displayed in the input interface depending on the client's emotional state. For example, if the client is feeling anxious, a message that gives a sense of security is displayed. This makes it possible to provide a less stressful input interface depending on the client's emotional state.

[0066] The client information acquisition unit can propose an interior design based on the client's hobbies and preferences. The client information acquisition unit, for example, collects information about the client's hobbies and preferences and proposes an interior design based on that information. For example, if the client is interested in art, the client information acquisition unit proposes a space to display artwork. The client's favorite colors and materials are also heard, and the interior design is customized based on that. For example, if the client likes wood, the client information acquisition unit proposes a design that makes extensive use of wood. The client information acquisition unit also proposes dedicated spaces that suit the client's hobbies. For example, if the client is a musician, the client information acquisition unit proposes a music studio or listening room. This makes it possible to propose an interior design based on the client's hobbies and preferences.

[0067] The floor plan proposal unit can propose a floor plan based on the client's health condition and lifestyle. The floor plan proposal unit, for example, collects information about the client's health condition and proposes a floor plan based on that information. For example, if the client has allergies, it proposes a design that suppresses allergens. It also analyzes the client's lifestyle and customizes the floor plan based on that. For example, if the client is an early riser, it proposes a bedroom where morning sunlight streams in. It also proposes a dedicated space for maintaining health. For example, if the client's hobby is fitness, it proposes a home gym. This makes it possible to propose a floor plan that takes the client's health condition and lifestyle into consideration.

[0068] The floor plan proposal unit can use the client's emotion estimation function to analyze the client's emotional response to the proposed floor plan and re-propose an optimal floor plan. The floor plan proposal unit, for example, analyzes the client's emotional response to the proposed floor plan in real time and makes a re-proposition if the emotional score is low. For example, it improves the parts that the client feels dissatisfied with. The emotion estimation function can also be used to identify and propose the floor plan that the client feels most positive about. For example, it can prioritize the proposal of floor plans that make the client happy. The floor plan proposal unit can also identify areas for improvement based on the client's emotional response data and make a re-proposition. For example, it can correct parts that the client feels uneasy about. This makes it possible to re-propose an optimal floor plan based on the client's emotional response.

[0069] The floor plan proposal unit can propose floor plans based on the client's future life stage. For example, the floor plan proposal unit considers the client's future life stage and proposes a floor plan that is suited to the growth of children. For example, it proposes a design that allows a child's room to be divided in the future. It also considers the client's old age and proposes a barrier-free design. For example, it proposes floors with no steps and the installation of handrails. It also proposes flexible floor plans that can accommodate the client's changing life stage. For example, it proposes a design that allows the use of rooms to be changed in the future. This makes it possible to propose floor plans that consider the client's future life stage.

[0070] The floor plan proposal unit can propose floor plans that suit different climatic conditions and regional characteristics. For example, the floor plan proposal unit considers the climatic conditions of the region where the client lives and proposes a floor plan that suits it. For example, in cold regions, it proposes a design with high insulation performance. It also proposes floor plans that suit regional characteristics. For example, in regions with frequent earthquakes, it strengthens earthquake-resistant designs. It also proposes floor plans that are highly energy efficient based on climatic conditions and regional characteristics. For example, it proposes a design that incorporates a solar power generation system. This makes it possible to propose floor plans that suit different climatic conditions and regional characteristics.

[0071] The floor plan proposal unit can propose dedicated spaces according to the hobbies and activities of the client. The floor plan proposal unit, for example, proposes dedicated spaces according to the hobbies of the client. For example, if the client's hobby is painting, it proposes an art studio. Also, it proposes dedicated spaces according to the client's activities. For example, if the client's hobby is fitness, it proposes a home gym. Also, it customizes the layout and design of the dedicated spaces based on the client's hobbies and activities. For example, if the client's hobby is music, it proposes a soundproof room. This makes it possible to propose dedicated spaces according to the client's hobbies and activities.

[0072] The floor plan proposal unit uses the client's emotion estimation function to provide real-time feedback on the client's emotional response to the proposed floor plan, allowing for immediate corrections. The floor plan proposal unit, for example, analyzes the client's emotional response to the proposed floor plan in real time, and makes immediate corrections if the emotion score is low. For example, it improves on the spot any parts that the client feels dissatisfied with. The emotion estimation function is also used to identify the floor plan that evokes the most positive emotions in the client and proposes it in real time. For example, it immediately presents a floor plan that the client will be happy with. Furthermore, based on the client's emotional response data, it identifies areas for improvement in the floor plan and makes corrections in real time. For example, it corrects on the spot any parts that the client feels uneasy about. This allows the floor plan to be corrected in real time based on the client's emotional response.

[0073] The 3D perspective generation unit can dynamically change the color and design of the 3D perspective drawing to suit the client's preferences using the client's emotion estimation function. For example, the 3D perspective generation unit analyzes the client's emotional state in real time and dynamically changes the color and design of the 3D perspective drawing. For example, if the client is relaxed, it changes to brighter hues. The emotion estimation function also identifies the colors and designs that evoke the client's most positive emotions and reflects them in the 3D perspective drawing. For example, it prioritizes the use of colors that make the client feel happy. Furthermore, based on the client's emotional response data, it identifies areas for improvement in the 3D perspective drawing and makes dynamic changes. For example, it corrects on the spot any parts that make the client feel uneasy. This allows the color and design of the 3D perspective drawing to be dynamically changed according to the client's emotional state.

[0074] The 3D perspective generation unit can place avatars of the client's family and pets in the 3D perspective drawing, providing a more realistic experience. The 3D perspective generation unit places avatars in the 3D perspective drawing based on, for example, information about the client's family and pets. For example, it can recreate a scene where the whole family is spending time in the living room. It can also dynamically place avatars of the client's family and pets to simulate different situations. For example, it can recreate a scene where the family is having a meal or the pets are playing in the garden. It can also customize avatars of the client's family and pets to provide a more realistic experience. For example, it can recreate the faces and clothing of family members in a realistic manner. This allows it to place avatars of the client's family and pets, providing a more realistic experience.

[0075] The 3D perspective generation unit can reflect changes in the seasons and time of day in the 3D perspective drawing, providing how the house looks in different situations. For example, the 3D perspective generation unit can reflect changes in the seasons in the 3D perspective drawing, providing how the house looks in different seasons. For example, it can recreate a scene of cherry blossoms blooming in spring or a snowy winter landscape. It can also reflect changes in the time of day in the 3D perspective drawing, providing how the house looks in different times of day. For example, it can recreate a scene with the morning sun shining in or a scene lit up at night. It can also dynamically reflect changes in the seasons and time of day, allowing the client to freely switch between situations. For example, it provides a function that allows the user to change the season or time of day using a slider. This allows the user to reflect changes in the seasons and time of day and provide how the house looks in different situations.

[0076] The 3D perspective generation unit can use AR technology to overlay the 3D perspective drawing on the actual land. For example, the 3D perspective generation unit uses AR technology to overlay the 3D perspective drawing on the land owned by the client. For example, using a smartphone or tablet, the exterior of the house can be overlaid on the actual land. AR technology is also used to adjust the 3D perspective drawing to match the topography and environment of the actual land. For example, the placement of the house can be optimized by taking into account the slope of the land and surrounding buildings. AR technology can also be used to enable the client to adjust the placement and design of the house in real time while overlaying the 3D perspective drawing on the actual land. For example, a function is provided to change the orientation and position of the house. This allows the 3D perspective drawing to be overlaid on the actual land using AR technology.

[0077] The 3D perspective generation unit can arrange the furniture and interior design selected by the client in the 3D perspective drawing to simulate real life. For example, the 3D perspective generation unit arranges the furniture and interior design selected by the client in the 3D perspective drawing to simulate real life. For example, it arranges the sofa and table selected by the client in the living room. It also provides an interface that allows the client to freely arrange the furniture and interior design, enabling them to customize the 3D perspective drawing. For example, it provides a function to arrange furniture by drag and drop. It also updates the 3D perspective drawing in real time based on the arrangement of the furniture and interior design selected by the client to simulate real life. For example, the 3D perspective drawing is automatically updated every time the furniture arrangement is changed. This allows the client to arrange the furniture and interior design selected to simulate real life.

[0078] The 3D perspective generation unit can use the client's emotion estimation function to automatically adjust the viewpoint and angle of the 3D perspective drawing to suit the client's preferences. For example, the 3D perspective generation unit analyzes the client's emotional state in real time and automatically adjusts the viewpoint and angle of the 3D perspective drawing. For example, if the client is relaxed, it provides a wide-angle viewpoint. The emotion estimation function also identifies the viewpoint and angle that evokes the client's most positive emotions and reflects this in the 3D perspective drawing. For example, it prioritizes providing viewpoints that make the client feel happy. Furthermore, based on the client's emotional response data, it identifies areas for improvement in the viewpoint and angle of the 3D perspective drawing and dynamically adjusts them. For example, it can immediately correct any parts that make the client feel anxious. This allows the viewpoint and angle of the 3D perspective drawing to be automatically adjusted according to the client's emotional state.

[0079] The estimated cost calculation unit can propose the optimal combination of building materials and equipment based on the client's budget. The estimated cost calculation unit proposes the optimal combination of building materials and equipment based on the client's budget information, for example. For example, it selects high-quality building materials within the budget to maximize cost performance. It also proposes multiple combinations of building materials and equipment based on the client's budget and provides options. For example, it makes proposals by grade based on the budget. It also calculates the costs of building materials and equipment in real time based on the client's budget information and proposes the optimal combination. For example, it automatically adjusts so as not to go over budget. This makes it possible to propose the optimal combination of building materials and equipment based on the client's budget.

[0080] The estimated cost calculation unit can use the client's emotion estimation function to analyze the client's emotional response to the budget and provide optimal cost performance. The estimated cost calculation unit, for example, analyzes the client's emotional response to the budget in real time, and if the emotion score is low, makes the optimal proposal within the budget. For example, it improves the parts that the client feels uneasy about. Furthermore, it uses the emotion estimation function to identify and provide proposals within the budget that evoke the most positive emotions from the client. For example, it prioritizes proposals that provide cost performance that the client feels happy about. Furthermore, it identifies areas for improvement in the budget based on the client's emotional response data and provides optimal cost performance. For example, it corrects the parts that the client feels uneasy about. In this way, it is possible to provide optimal cost performance based on the client's emotional response.

[0081] The approximate cost calculation unit can present an approximate cost that also takes into account the client's future maintenance costs. The approximate cost calculation unit, for example, presents an approximate cost that takes into account the client's future maintenance costs. For example, it presents a total amount including the costs of parts that require regular maintenance. It also makes suggestions for minimizing maintenance costs and presents an approximate cost based on those suggestions. For example, it reduces future maintenance costs by using highly durable building materials. It also presents an approximate cost that includes maintenance costs, taking into account the client's future life stages. For example, it proposes a maintenance plan that takes into account the growth of children and retirement. This makes it possible to present an approximate cost that also takes future maintenance costs into account.

[0082] The estimate calculation unit can provide a function to automatically collect and compare estimates from different construction companies. The estimate calculation unit, for example, automatically collects estimates from different construction companies and presents them to the client. For example, it compares estimates from multiple companies and provides the optimal option. It also evaluates cost performance based on the estimates from the construction companies and makes the optimal proposal to the client. For example, it makes a proposal that takes into account the balance between cost and quality. It also visually displays the results of the estimate comparison to the client, presenting the options in an easy-to-understand manner. For example, it shows the differences in estimates using graphs and charts. This makes it possible to provide a function to automatically collect and compare estimates from different construction companies.

[0083] The approximate cost calculation unit can propose options for eco-friendly building materials and equipment according to the client's wishes. The approximate cost calculation unit, for example, proposes options for eco-friendly building materials and equipment according to the client's wishes. For example, it proposes equipment that uses renewable energy and environmentally friendly building materials. It also presents an approximate cost taking into account the cost of eco-friendly building materials and equipment. For example, it compares initial costs with long-term costs and provides the optimal option. It also explains the benefits of eco-friendly building materials and equipment to the client and proposes options based on that. For example, it explains improved energy efficiency and reduced environmental impact. In this way, it is possible to propose options for eco-friendly building materials and equipment according to the client's wishes.

[0084] The estimated cost calculation unit uses the client's emotion estimation function to provide feedback on the client's emotional response to the budget in real time, allowing for immediate corrections. The estimated cost calculation unit, for example, analyzes the client's emotional response to the budget in real time, and makes immediate corrections if the emotion score is low. For example, it improves the parts that make the client feel uneasy on the spot. In addition, it uses the emotion estimation function to identify proposals within the budget that evoke the most positive emotions from the client and provides them in real time. For example, it immediately presents cost performance that makes the client happy. In addition, it identifies areas for improvement in the budget based on the client's emotional response data, and makes corrections in real time. For example, it corrects the parts that make the client feel uneasy on the spot. This allows the budget to be corrected in real time based on the client's emotional response.

[0085] The metaverse generation unit can use the client's emotion estimation function to analyze the client's emotional reactions during the virtual experience and provide an optimal experience. For example, the metaverse generation unit analyzes the client's emotional reactions during the virtual experience in real time, and if the emotion score is low, improves the experience content. For example, it corrects the parts that make the client feel anxious on the spot. It also uses the emotion estimation function to identify the experience that gives the client the most positive emotions and reflects that in the virtual experience. For example, it prioritizes providing scenes that make the client feel happy. It also identifies areas to improve the virtual experience based on the client's emotional reaction data and makes dynamic adjustments. For example, it corrects the parts that make the client feel anxious on the spot. This makes it possible to provide an optimal virtual experience based on the client's emotional reactions.

[0086] The metaverse generation unit can place avatars of the client's family and pets during the virtual experience, providing a more realistic experience. The metaverse generation unit places avatars during the virtual experience based on, for example, information about the client's family and pets. For example, it can recreate a scene where the whole family is spending time in the living room. It can also dynamically place avatars of the client's family and pets to simulate different situations. For example, it can recreate a scene where the family is having a meal or the pets are playing in the garden. It can also customize avatars of the client's family and pets to provide a more realistic experience. For example, it can recreate the faces and clothing of family members in a manner that is close to reality. In this way, it can provide a more realistic virtual experience by placing avatars of the client's family and pets.

[0087] The metaverse generation unit can provide simulations of different seasons and time periods during the virtual experience. For example, the metaverse generation unit simulates seasonal changes during the virtual experience to provide how the house would look in different seasons. For example, it can recreate a scene of cherry blossoms blooming in spring or a snowy winter landscape. It can also simulate changes in time periods during the virtual experience to provide how the house would look in different times of the day. For example, it can recreate a scene with the morning sun shining in or a scene lit up at night. It can also dynamically reflect changes in seasons and time periods, allowing the client to freely switch between situations. For example, it can provide a function that allows the user to change the season or time period using a slider. This allows for simulations of different seasons and time periods to provide a more diverse virtual experience.

[0088] The metaverse generation unit can arrange furniture and interior decor selected by the client during the virtual experience to simulate real life. For example, the metaverse generation unit arranges furniture and interior decor selected by the client during the virtual experience to simulate real life. For example, it arranges a sofa and table selected by the client in a living room. It also provides an interface that allows the client to freely arrange furniture and interior decor, enabling customization of the virtual experience. For example, it provides a function for arranging furniture by drag and drop. It also updates the virtual experience in real time based on the arrangement of furniture and interior decor selected by the client to simulate real life. For example, the virtual experience is automatically updated every time the arrangement of furniture is changed. This allows real life to be simulated by arranging the furniture and interior decor selected by the client.

[0089] The metaverse generation unit can provide interactive functions that allow the client to freely change the floor plan and design during the virtual experience. The metaverse generation unit, for example, provides an interface that allows the client to freely change the floor plan and design during the virtual experience. For example, it provides functions to change the position of walls and adjust the size of rooms. In addition, a system is constructed in which the 3D perspective drawing is updated in real time every time the client changes the floor plan or design during the virtual experience. For example, when the client moves a wall, the 3D perspective drawing changes on the spot. In addition, the interactive function can be used to allow the client to try out different floor plans and designs during the virtual experience. For example, multiple design options can be provided and the client can select from them. This makes it possible to provide interactive functions that allow the client to freely change the floor plan and design.

[0090] The metaverse generation unit can use the client's emotion estimation function to automatically adjust the viewpoint and angle during the virtual experience to suit the client's preferences. The metaverse generation unit, for example, analyzes the client's emotional state in real time and automatically adjusts the viewpoint and angle during the virtual experience. For example, if the client is relaxed, it provides a wide-angle viewpoint. The emotion estimation function also identifies the viewpoint and angle that evokes the client's most positive emotions and reflects this in the virtual experience. For example, it prioritizes providing a viewpoint that makes the client feel happy. Furthermore, based on the client's emotional response data, it identifies areas for improvement in the viewpoint and angle of the virtual experience and dynamically adjusts them. For example, it corrects on the spot any parts that make the client feel anxious. This allows the viewpoint and angle during the virtual experience to be automatically adjusted according to the client's emotional state.

[0091] The construction drawing creation unit can use the client's emotion estimation function to reflect designs that match the client's preferences in the construction drawings. The construction drawing creation unit, for example, analyzes the client's emotional state in real time and reflects designs that match the client's preferences in the construction drawings. For example, if the client is relaxed, it will propose a calm design. The emotion estimation function can also be used to identify designs that evoke the client's most positive emotions and reflect these in the construction drawings. For example, it can prioritize proposals for designs that make the client feel happy. Furthermore, based on the client's emotional response data, it can identify areas for improvement in the construction drawings and make dynamic adjustments. For example, it can correct parts that make the client feel uneasy on the spot. This allows designs that match the client's preferences to be reflected in the construction drawings.

[0092] The construction drawing creation unit can propose designs based on future renovations and expansions. The construction drawing creation unit, for example, takes into account the client's future renovations and expansions and reflects this in the construction drawings. For example, it proposes a design that allows for the addition of rooms in the future. It also reflects a flexible design in the construction drawings to make renovations and expansions easy. For example, it creates a structure that makes it easy to remove walls. It also takes into account the client's future life stages and reflects in the construction drawings the possibility that renovations and expansions will be necessary. For example, it proposes a design that takes into account the growth of children and retirement. This makes it possible to propose a design that takes future renovations and expansions into consideration.

[0093] The construction drawing creation unit can propose designs based on the safety of the client's family and pets. The construction drawing creation unit, for example, considers the safety of the client's family and pets and reflects this in the construction drawings. For example, it designs spaces where children can play safely and areas where pets can spend time comfortably. It also reflects designs to enhance safety in the construction drawings. For example, it installs handrails on stairs and uses non-slip flooring. It also proposes designs to ensure the safety of the client's family and pets and reflects these in the construction drawings. For example, it installs pet gates and child safety locks. This makes it possible to propose designs that take the safety of the client's family and pets into consideration.

[0094] The construction drawing creation unit can use AR technology to overlay the construction drawings on the actual land. The construction drawing creation unit, for example, uses AR technology to overlay the construction drawings on the land owned by the client. For example, the construction drawings can be viewed overlaid on the actual land using a smartphone or tablet. AR technology is also used to adjust the construction drawings to fit the topography and environment of the actual land. For example, the construction drawings are optimized taking into account the slope of the land and surrounding buildings. AR technology also allows the client to adjust the layout and design of the house in real time while overlaying the construction drawings on the actual land. For example, a function to change the orientation and position of the house is provided. This allows the construction drawings to be overlaid on the actual land using AR technology.

[0095] The construction drawing creation unit can arrange the furniture and interior design selected by the client in the construction drawing to simulate actual life. The construction drawing creation unit, for example, arranges the furniture and interior design selected by the client in the construction drawing to simulate actual life. For example, it arranges the sofa and table selected by the client in the living room. It also provides an interface that allows the client to freely arrange the furniture and interior design, enabling customization of the construction drawing. For example, it provides a function for arranging furniture by drag and drop. It also updates the construction drawing in real time based on the arrangement of the furniture and interior design selected by the client to simulate actual life. For example, the construction drawing is automatically updated every time the furniture arrangement is changed. This makes it possible to simulate actual life by arranging the furniture and interior design selected by the client.

[0096] The construction drawing creation unit can use the client's emotion estimation function to automatically adjust the viewpoint and angle of the construction drawing to suit the client's preferences. The construction drawing creation unit, for example, analyzes the client's emotional state in real time and automatically adjusts the viewpoint and angle of the construction drawing. For example, if the client is relaxed, it provides a wide-angle viewpoint. The emotion estimation function also identifies the viewpoint and angle that evokes the client's most positive emotions and reflects this in the construction drawing. For example, it prioritizes providing a viewpoint that makes the client feel happy. Furthermore, based on the client's emotional response data, it identifies areas for improvement in the viewpoint and angle of the construction drawing and dynamically adjusts them. For example, it corrects on the spot any parts that make the client feel anxious. This makes it possible to automatically adjust the viewpoint and angle of the construction drawing according to the client's emotional state.

[0097] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0098] The client information acquisition unit can also make suggestions based on the client's health condition. For example, if the client has allergies, it can propose a design that suppresses allergens. It can also analyze the client's lifestyle and customize the floor plan based on that. For example, if the client is an early riser, it can suggest a bedroom where morning sunlight streams in. It can also suggest a dedicated space for maintaining health. For example, if the client's hobby is fitness, it can suggest a home gym. This makes it possible to propose floor plans that take the client's health condition and lifestyle into consideration.

[0099] The client information acquisition unit can also propose interior designs based on the client's hobbies and preferences. For example, if the client is interested in art, it can propose a space to display artwork. It can also ask the client about their favorite colors and materials and customize the interior design based on that. For example, if the client likes wood, it can propose a design that makes extensive use of wood. It can also propose dedicated spaces that suit the client's hobbies. For example, if the client is a musician, it can propose a music studio or listening room. This makes it possible to propose interior designs based on the client's hobbies and preferences.

[0100] The client information acquisition unit can also use the client's emotion estimation function to analyze the client's emotional state at the time of input and provide a less stressful input interface. For example, when the client inputs information, the emotional state can be estimated in real time by analyzing the client's facial expressions and voice tone. If the client is feeling stressed, the input interface can be simplified. The emotion estimation function can also be used to dynamically change the color and design of the interface so that the client can enter information in a relaxed manner. For example, if the client is nervous, the color can be changed to a more subdued color. Furthermore, guide messages or encouraging messages can be displayed in the input interface depending on the client's emotional state. For example, if the client is feeling anxious, a message that gives a sense of security can be displayed. This makes it possible to provide a less stressful input interface depending on the client's emotional state.

[0101] The floor plan proposal unit can also propose floor plans based on the client's future life stage. For example, it can propose a floor plan that takes into account the client's future life stage and is suited to the growth of children. For example, it can propose a design that allows a child's room to be divided in the future. It can also propose a barrier-free design that takes into account the client's old age. For example, it can propose floors with no steps and the installation of handrails. It can also propose flexible floor plans that can accommodate the client's changing life stage. For example, it can propose a design that allows the use of rooms to be changed in the future. This makes it possible to propose floor plans that take into account the client's future life stage.

[0102] The floor plan proposal unit can also propose floor plans that suit different climatic conditions and regional characteristics. For example, it can propose a floor plan that is suitable for the climatic conditions of the region where the client lives. For example, it can propose a design with high insulation performance in cold regions. It can also propose floor plans that suit regional characteristics. For example, it can strengthen earthquake-resistant designs in regions with frequent earthquakes. It can also propose floor plans that are highly energy-efficient based on climatic conditions and regional characteristics. For example, it can propose a design that incorporates a solar power generation system. This makes it possible to propose floor plans that suit different climatic conditions and regional characteristics.

[0103] The floor plan proposal unit can also use the client's emotion estimation function to analyze the client's emotional response to the proposed floor plan and re-propose an optimal floor plan. For example, it can analyze the client's emotional response to the proposed floor plan in real time and make a re-proposition if the emotional score is low. It can also improve the parts that the client is dissatisfied with. It can also use the emotion estimation function to identify and propose the floor plan that the client feels most positive about. It can prioritize the proposal of floor plans that the client will be happy with. It can also identify areas for improvement in the floor plan based on the client's emotional response data and make a re-proposition. It can correct parts that the client is unsure about. This makes it possible to re-propose an optimal floor plan based on the client's emotional response.

[0104] The 3D perspective generation unit can also use the client's emotion estimation function to dynamically change the color and design of the 3D perspective drawing to suit the client's preferences. For example, it can analyze the client's emotional state in real time and dynamically change the color and design of the 3D perspective drawing. If the client is relaxed, it can change to brighter hues. The emotion estimation function can also be used to identify the colors and designs that evoke the client's most positive emotions and reflect them in the 3D perspective drawing. Colors that make the client happy can be used preferentially. Furthermore, it can identify areas for improvement in the 3D perspective drawing based on the client's emotional response data and make dynamic changes. Any areas that the client feels uneasy about can be corrected on the spot. This allows the color and design of the 3D perspective drawing to be dynamically changed according to the client's emotional state.

[0105] The 3D perspective generation unit can also place avatars of the client's family and pets in the 3D perspective drawing to provide a more realistic experience. For example, avatars can be placed in the 3D perspective drawing based on information about the client's family and pets. A scene of the whole family spending time in the living room can be recreated. Avatars of the client's family and pets can also be dynamically placed to simulate different situations. Scenes of the family having a meal or pets playing in the garden can be recreated. Avatars of the client's family and pets can also be customized to provide a more realistic experience. The family's faces and clothing can be recreated in a realistic manner. This allows the placement of avatars of the client's family and pets to provide a more realistic experience.

[0106] The 3D perspective generation unit can also reflect changes in the seasons and time of day in the 3D perspective drawing, providing views of the house in different situations. For example, by reflecting changes in the seasons in the 3D perspective drawing, it is possible to provide views of the house in different seasons. Scenes of cherry blossoms blooming in spring and snowy winter scenery can be recreated. Changes in the time of day can also be reflected in the 3D perspective drawing, providing views of the house in different times of day. Scenes with morning sunlight shining in and scenes lit up at night can be recreated. It is also possible to dynamically reflect changes in the seasons and time of day, allowing the client to freely switch between situations. A function can be provided that allows the user to change the season or time of day using a slider. This makes it possible to provide views of the house in different situations by reflecting changes in the seasons and time of day.

[0107] The 3D perspective generation unit can also use AR technology to overlay the 3D perspective drawing on the actual land. For example, the 3D perspective drawing can be overlaid on the land owned by the client using AR technology. The exterior of the house can be overlaid on the actual land using a smartphone or tablet. AR technology can also be used to adjust the 3D perspective drawing to match the topography and environment of the actual land. The placement of the house can be optimized taking into account the slope of the land and surrounding buildings. AR technology can also be used to enable the client to adjust the placement and design of the house in real time while overlaying the 3D perspective drawing on the actual land. A function to change the orientation and position of the house can be provided. This allows the 3D perspective drawing to be overlaid on the actual land using AR technology.

[0108] The processing flow of the second embodiment will be briefly explained below.

[0109] Step 1: The client information acquisition unit acquires client information, such as the client's family composition, desired floor plan, land plan, and desired exterior appearance. Step 2: The floor plan proposal unit proposes an optimal floor plan based on the client information acquired by the client information acquisition unit. For example, it determines the size of the living room and the layout of each room based on the client's family composition and desired floor plan. Step 3: The 3D perspective generation unit generates a 3D perspective drawing based on the floor plan proposed by the floor plan proposal unit. For example, the furniture arrangement in the living room and the exterior wall design are reflected in the 3D perspective drawing. Step 4: The estimated cost calculation unit calculates an estimated cost based on the 3D perspective drawing generated by the 3D perspective drawing generation unit. For example, the total cost is presented taking into account the costs of the building materials and equipment to be used. Step 5: The Metaverse Generator automatically generates a 3D perspective view in the Metaverse. For example, you can walk around your house freely using a VR headset. Step 6: If the client is satisfied with the plan, the construction drawing creation unit creates a construction drawing, which includes details of the foundation work and piping work, for example.

[0110] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0111] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0112] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0113] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0114] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0115] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0116] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0117] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0118] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0119] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0120] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0121] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0122] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0123] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0124] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0125] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0126] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0127] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0128] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0129] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0130] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0131] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0132] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0133] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0134] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0135] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0136] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0137] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0138] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0139] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0140] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0141] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0142] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0143] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0144] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0145] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0146] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0147] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0148] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0149] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0150] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0151] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0152] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0153] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0154] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0155] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0156] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0157] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0158] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0159] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0160] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0161] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0162] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0163] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0164] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0165] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0166] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0167] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0168] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0169] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0170] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0171] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0172] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0173] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0174] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0175] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0176] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0177] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. A client information acquisition unit that acquires client information; a floor plan proposal unit that proposes an optimal floor plan based on the owner information acquired by the owner information acquisition unit; a 3D perspective generation unit that generates a 3D perspective drawing based on the floor plan proposed by the floor plan proposal unit; an estimated cost calculation unit that calculates an estimated cost based on the 3D perspective drawing generated by the 3D perspective generation unit; a metaverse generation unit that automatically generates the 3D perspective drawing in a metaverse; and a construction drawing creation unit that creates construction drawings when the client is satisfied with the plan. A system characterized by:

2. The owner information acquisition unit Collecting the client's past housing history or lifestyle data to provide more personalized proposals 2. The system of claim 1.

3. The owner information acquisition unit Analyzing the emotional state of the client when inputting data to provide a less stressful input interface 2. The system of claim 1.

4. The owner information acquisition unit Propose interior design based on the client's tastes and preferences 2. The system of claim 1.

5. The floor plan proposal unit We propose floor plans based on the client's health condition and lifestyle habits.

2. The system of claim 1.

6. The floor plan proposal unit Analyzing the client's emotional response to the proposed floor plan and re-proposing the optimal floor plan 2. The system of claim 1.

7. The floor plan proposal unit Propose a floor plan based on the client's future life stage 2. The system of claim 1.

8. The floor plan proposal unit Proposing floor plans that suit different climatic conditions and regional characteristics 2. The system of claim 1.

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