system

Abstract

We provide the system. [Solution] Means for collecting consumption history and social information based on user permission, A means for analyzing the collected information and generating a profile of the user's preferences and lifestyle, A means for constructing an individualized interior design plan based on the generated profile, A means for providing a visual simulation of the interior design plan using augmented reality or virtual reality technology, A means to optimize the proposal of furniture and fixtures within the plan based on budget management, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, while the need for interior design that matches individual preferences and lifestyles is increasing, conventional interior designs rely on the user's own senses and have the problem that it is difficult to appropriately reflect their individuality. Furthermore, the process of selecting the optimal furniture and appliances within the budget is also complicated and time-consuming, making it difficult for many users to utilize. In contrast, there is a need to provide specialized proposals for individualized designs and propose optimal options according to the user's preferences and lifestyle.

Means for Solving the Problems

[0005] This invention collects consumption history and social information based on user access permissions, analyzes this information to generate a profile that reflects the user's preferences and lifestyle, and then automatically constructs a personalized interior design plan based on this generated profile, visually simulating the design plan using augmented reality or virtual reality technology. Furthermore, it takes budget management into consideration and proposes the most suitable furniture and fixtures within the budget, enabling the user to make efficient selections. Through these means, it becomes possible to provide professional and personalized interior designs that meet the user's needs, thereby solving conventional problems.

[0006] "User permission" refers to the act of authorizing a user to access personal information or usage history.

[0007] "Consumption history" refers to a record of products and services that a user has purchased in the past.

[0008] "Social information" refers to information about a user's preferences and activities shared on social networking services.

[0009] A "profile" is personality information generated by a system that analyzes a user's preferences and lifestyle.

[0010] An "interior design plan" is a blueprint for a personalized interior design, constructed based on the user's preferences and lifestyle.

[0011] Augmented reality is a technology that overlays digital content onto the real world.

[0012] "Virtual reality" is a technology that allows users to experience a virtual space created by a computer.

[0013] "Visual simulation" is a technique that uses digital technology to allow users to experience designs and concepts visually.

[0014] "Budget management" is a process of management and adjustment for executing a plan within the financial constraints set by the user.

[0015] "Furniture and appliances" are movable articles and equipment for use within a home or office.

Brief Description of Drawings

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Embodiments for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units 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), etc.

[0020] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] As shown in Figure 1, the 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.

[0027] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0036] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0037] To implement this invention, the user must first create an account on a dedicated application or web platform and log in. The user, considering their privacy, reviews the terms of service and grants the server permission to access necessary information. This information includes past purchase history and social information. Once the user grants permission, the server collects this information and stores it in a database in an anonymized form.

[0038] Next, the server analyzes the collected data and generates a profile that characterizes the user's preferences and lifestyle. The generated profile includes the user's preferred interior style, color tendencies, and material preferences. Based on this profile, the server generates an optimal interior design plan.

[0039] Once the interior design plan is generated, the server sends the plan to the user's terminal. Through the terminal, the user can experience a visual simulation using AR / VR technology. This allows the user to visualize and confirm in real time how the design will look in their own living space.

[0040] Furthermore, the server optimizes the furniture and fixtures used in the interior design based on the user's budget. To ensure the budget is not exceeded, the server suggests alternatives and makes adjustments to reduce costs. In this process, products made from sustainable materials are also taken into consideration.

[0041] Users can share their interior design plans with other users and receive feedback through the system's community features. The server then uses the collected feedback to suggest improvements to the design, enhancing the final plan's quality.

[0042] As a concrete example, a user might use the system for a newly purchased living room. The user provides the server with information about sofas and lighting they have previously purchased, and based on this information, the server recommends Scandinavian-style designs. The user can visually check how the design fits into their room using the AR function of their device and request adjustments as needed. Finally, the server makes the best selection within the budget, and the user makes a decision based on the results. This entire process smoothly realizes personalized interior design.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] Users log in to a dedicated application or web platform and grant permission to access their past purchase history and social information. Users review the privacy policy and provide the necessary consent.

[0046] Step 2:

[0047] The server uses access information provided by the user to securely collect purchase history and social network information. This information is anonymized and stored in a database.

[0048] Step 3:

[0049] The server analyzes the collected data and generates a profile that reflects the user's preferences and lifestyle. This profile includes preferred styles and colors, as well as tendencies in materials they want to use.

[0050] Step 4:

[0051] The server then constructs a personalized interior design plan based on the generated profile. This includes furniture and interior placement, as well as the selection of suggested products.

[0052] Step 5:

[0053] The server sends the interior design plan to the user's device. The device uses the received data to perform a visual simulation using AR / VR technology. The user can see in real time how the design will look in their own living space.

[0054] Step 6:

[0055] Users can view the visualized design through their device and make changes or requests as needed. They then send their changes to the server for final adjustments.

[0056] Step 7:

[0057] The server takes the user's budget information into consideration and optimizes the selected furniture and fixtures. It suggests alternatives to stay within budget and adjusts the plan according to the user's requirements.

[0058] Step 8:

[0059] Users can share their final design plans with a community within the system. Receiving feedback from other users helps improve and optimize the design.

[0060] (Example 1)

[0061] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0062] In recent years, there has been a growing demand for personalized design proposals that cater to the diverse preferences and lifestyles of consumers. However, achieving this presents challenges, including the difficulty of accurately understanding past consumer behavior and preferences while protecting user privacy and efficiently designing products within budget constraints. Furthermore, building a platform that allows for easy sharing of design proposals and the incorporation of feedback is a key issue.

[0063] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0064] In this invention, the server includes means for collecting and anonymizing consumption history and social information based on user permission; means for analyzing the collected information to generate a profile characterizing the user's preferences and lifestyle; and means for constructing an individualized spatial design plan based on the generated profile. This makes it possible to present individualized design proposals while protecting privacy and to realize efficient spatial design in accordance with the budget.

[0065] "Access permission" refers to the permission granted by a user when providing information to a server, allowing it to collect and analyze that information.

[0066] "Consumption history" refers to information about a user's past purchasing activities and product choices, and is used to understand the user's preferences.

[0067] "Social information" refers to information based on a user's social networks and online activities, and is used to characterize a user's lifestyle.

[0068] "Anonymization" refers to the process of transforming data so that individuals cannot be identified, and is carried out to protect user privacy.

[0069] A "profile" refers to an aggregation of information that characterizes a user's preferences and lifestyle based on collected data.

[0070] "Space design planning" refers to a plan that proposes the placement of furniture and decorations according to the user's preferences and lifestyle, and aims to optimize the resources used.

[0071] Augmented reality is a technology that overlays digital information onto the real world to provide users with a richer experience.

[0072] "Virtual reality" is a technology that immerses users in a computer-generated virtual space, providing them with experiences in an environment that is not real.

[0073] "Community function" refers to a function within the system that facilitates interaction among users and improves the accuracy of design proposals by exchanging information and opinions.

[0074] A "generative AI model" is a type of artificial intelligence technology that analyzes large amounts of data and makes optimal suggestions based on user requests and conditions.

[0075] An embodiment of the present invention consists of a user, a server, and a terminal. The user uses a dedicated application or web platform to create an account and log in. The user grants the server permission to access their consumption history and social information, while taking into consideration the protection of personal information. This information is necessary to understand the user's preferences and lifestyle.

[0076] The server anonymizes the received information and securely stores it in a database. Using a generative AI model, the server analyzes the collected data and generates a profile that reflects the user's preferences. Based on this profile, it constructs a personalized spatial design plan tailored to the user's needs.

[0077] The server sends the plan to the user's device. The user's device uses augmented reality (AR) or virtual reality (VR) technology to visually simulate the spatial design plan. This allows the user to see in real time how the design will actually be placed in their space.

[0078] Furthermore, the server takes the user's budget into consideration and optimizes the selection of structures and equipment to be used within the plan, providing cost-effective suggestions. This includes selecting products made from sustainable materials.

[0079] By utilizing the community feature, users can share their design proposals with other users and gather feedback from different perspectives. The server analyzes the collected feedback to further improve the design proposal and make the final proposal more satisfactory.

[0080] For example, when a user plans the design of a new living room, the server may use their past furniture purchase history to suggest a Scandinavian style. The user can then use AR / VR functionality to see how this design would look in their own home and request adjustments as needed. Furthermore, by providing the server with a prompt message such as "Generate recommended interior designs based on the user's purchase history," the user can receive appropriate suggestions.

[0081] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0082] Step 1:

[0083] Users access a dedicated application or web platform and create an account. After logging in, users grant the server permission to access their consumption history and social information. Inputs are the user's basic information and permission data, while outputs are permission information securely stored in the database.

[0084] Step 2:

[0085] The server collects consumption history and social information received from users and anonymizes it. The input is the user's consumption history and social information, and an anonymization algorithm is applied as data processing. The output is an anonymized dataset, which is securely stored in a database.

[0086] Step 3:

[0087] The server uses a generative AI model to analyze anonymized data and generate profiles that characterize user preferences and lifestyles. This step uses an anonymized dataset as input and performs feature extraction and profile construction as data operations. The output is a user-specific profile.

[0088] Step 4:

[0089] The server constructs an individualized spatial design plan based on the generated profile. The input is the user profile, and an optimized design plan is formulated using a generated AI model. The output is the spatial design plan, which is then sent to the user.

[0090] Step 5:

[0091] The terminal receives a spatial design plan transmitted from the server and uses augmented reality or virtual reality technology to perform a visual simulation of the design. The input is the design plan from the server, and data processing involves generating visual effects and displaying them in AR / VR. The output is the visual simulation experienced by the user.

[0092] Step 6:

[0093] The server optimizes the selection of structures and equipment to be used within the design plan, taking into account the budget set by the user. The input is the user's budget information and spatial design plan, and cost optimization is performed as a data calculation. The output is the optimal selection result within the budget, which is provided to the user.

[0094] Step 7:

[0095] Users share their design plans with other users through a community function and collect feedback. The input is the user's design proposal, and the output is feedback information from other users. The server that collects the feedback then makes suggestions for improving the design proposal.

[0096] (Application Example 1)

[0097] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0098] There is a growing need to propose optimal interior designs tailored to individual user preferences and budgets, and to provide an environment where users can visually confirm these designs. Furthermore, there is an increasing need for a system that allows users to easily evaluate proposed plans and optimize them based on their feedback. In addition, there is a demand for systems that allow users to experience products in real time through virtual stores and to provide flexible suggestions using generative AI models.

[0099] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0100] In this invention, the server includes means for collecting aggregated history and interaction information based on user access permissions, means for analyzing the aggregated information and generating user information regarding the user's preferences and lifestyle, and means for constructing a specialized interior design plan based on the generated user information. This makes it possible to propose an interior design plan that meets the individual needs of the user, to intuitively confirm its effects through visual simulation, and to make an optimized decision through improvements.

[0101] "Access permission" is the act of a user granting permission for others to collect and use their information.

[0102] "Aggregated history" refers to the collective data on a user's past purchase and usage history.

[0103] "Interaction information" refers to data about how a user communicated with other individuals.

[0104] "User information" refers to a profile that shows the results of an analysis of the user's preferences and lifestyle.

[0105] A "specialized interior design plan" is a design drawing for an interior that is customized according to the individual needs and preferences of the user.

[0106] "Visual simulation" is a technology that visualizes a designed plan using virtual space or augmented reality, allowing users to experience it.

[0107] A "virtual store" is a digital space where users can browse and experience products and services online.

[0108] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze diverse data and present optimal information to individual users.

[0109] A "prompt message" is text that facilitates dialogue and suggestions generated based on user input.

[0110] To implement this invention, users must first create an account using a smartphone or compatible device with a dedicated application installed and log in to the system. Users grant access permissions to the application, thereby consenting to the use of past aggregated history and interaction information. The server, having obtained access permissions, collects and analyzes this data and uses a generative AI model to create user information that characterizes the user's preferences and lifestyle.

[0111] Next, the server uses this user information to create a customized interior design plan. The user can use their device to visually review the plan using augmented reality or virtual reality technology and simulate how it would fit into their real living space. Furthermore, the server utilizes budget management functions to optimize the furniture and fixtures within the plan. Budget-based selections ensure that suggestions also take into account the use of sustainable materials.

[0112] Furthermore, users can share their plans with other users and experts within the virtual store and receive feedback. Based on this feedback, the server makes suggestions to improve the design plan. In this process, a generative AI model is used to generate prompt statements to support the user's decision-making.

[0113] As a concrete example, consider a user who desires a natural-style living room. This user can generate a prompt such as, "Please propose a natural design for my living room, referencing my past furniture choices. Please create a plan that can be visualized using AR, while considering sustainable materials." Based on this prompt, the server will make the best possible suggestions, and the user can visually review the results and further improve them through feedback.

[0114] Such a system allows users to easily plan and implement interior designs that meet their specific needs.

[0115] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0116] Step 1:

[0117] The server collects aggregate history and interaction information after receiving permission from the user. It uses the user's permission data as input and retrieves consumption history and communication information from the database based on this. The obtained information is then prepared for analysis.

[0118] Step 2:

[0119] The server uses a generative AI model based on the collected information to generate user information about user preferences and lifestyles. It analyzes consumption history and interaction data as input and outputs a profile that shows the user's characteristics and preferences. Features are extracted through calculations based on the data model, forming new profile information.

[0120] Step 3:

[0121] The server constructs a customized interior design plan based on the generated user information. It uses user profile information as input and combines relevant design patterns from a plan database to output a specific interior design plan. During this process, a design based on the user's preferences is selected.

[0122] Step 4:

[0123] The terminal uses augmented reality or virtual reality technology to visualize the interior design plan received from the server. Using the user's environment and interior plan as input, it generates a real-time visual mockup through the AR / VR system. The user can then evaluate the plan through the visual data.

[0124] Step 5:

[0125] The server optimizes the selection of furniture and fixtures based on the budget information set by the user. It requires the user's budget and design plan as input and outputs suggestions for appropriate alternatives. It analyzes cost and quality to present options that meet the user's needs.

[0126] Step 6:

[0127] Users share their design plans with other users within a virtual store and gather feedback. They share their design plans as input and collect responses from other users. This allows users to receive evaluations from diverse perspectives and make further improvements.

[0128] Step 7:

[0129] The server uses a generative AI model to refine the design plan based on feedback. It also generates prompts and outputs suggestions based on user preferences. Using feedback as input, it generates new design suggestions and prompts, which are then sent to the user. This process allows the user to achieve a more refined design.

[0130] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0131] This invention is an interior design support system that combines an emotion engine that recognizes user emotions. To use this system, users must first access a dedicated application or web platform and log in with their account. For privacy protection, users must review the terms of service related to access permissions and provide the necessary consent to the server. This ensures that purchase history and social information are securely provided to the server.

[0132] The server collects this permitted information and stores it in a database. Based on this data, the server analyzes the user's preferences and lifestyle and generates a user-specific profile. This profile is then used to create a personalized interior design plan.

[0133] Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice to estimate their emotions in real time. This allows the server to adjust the interior design plan while considering the user's current emotional state. For example, when the user wants to relax, it recommends calm colors and soft furniture, while when they are feeling active, it suggests colorful designs and modern furniture.

[0134] The user's device uses AR / VR technology to visually simulate the interior design, providing the user with a real-time design review experience. In this process, the user can judge their own feelings and preferences based on the visualizations displayed through the device and choose whether to accept or modify the design.

[0135] As a concrete example, imagine a user who wants to redesign their home office. The user accesses the system and requests a design that will make them feel comfortable emotionally. Based on past information and real-time emotional analysis by an emotion engine, the server constructs a design that provides a tranquil environment. The user can then see how this design fits into their actual space via AR, and the server further optimizes it within the budget to complete the proposal.

[0136] In this way, an interior design system that incorporates an emotional engine can provide users with a more personalized and emotionally sensitive design experience.

[0137] The following describes the processing flow.

[0138] Step 1:

[0139] Users log in to a dedicated application or web platform and provide the necessary consents to use the system. This includes permission to access purchase history and social information.

[0140] Step 2:

[0141] The server collects information authorized by the user, namely purchase history and social information, anonymizes it, and stores it in a database.

[0142] Step 3:

[0143] The server analyzes the collected data and generates a profile based on the user's preferences and lifestyle. This profile includes preferred interior styles, color palettes, and other similar elements.

[0144] Step 4:

[0145] The emotion engine built into the device analyzes the user's facial expressions and voice in real time to estimate their current emotional state.

[0146] Step 5:

[0147] The server combines the generated profile with the results of the emotion engine's analysis to create a personalized interior design plan tailored to the user's emotional state. For example, if the user wants to relax, it will select soft colors and relaxing furniture.

[0148] Step 6:

[0149] The server sends the interior design plan to the user's device, which then uses AR / VR technology to visually simulate the plan. This simulation allows the user to see how the chosen design would look in a real-world space.

[0150] Step 7:

[0151] Users can review visual simulations and request adjustments based on their preferences and budget. In response to user requests, the server optimizes the design and offers alternatives and cost-saving suggestions.

[0152] Step 8:

[0153] Once the final interior design plan is complete, users can share it with the community and receive feedback. The server analyzes the feedback and provides suggestions for design improvements as needed.

[0154] This series of steps makes it easy to create interior designs that take into account the user's emotional state.

[0155] (Example 2)

[0156] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0157] In modern society, interior design is expected to be customized to the individual user's lifestyle and emotions. However, current systems lack the ability to analyze user emotions in real time and reflect them in interior design, limiting their ability to provide personalized and emotionally sensitive designs. As a result, creating an environment where users can truly relax is a challenge.

[0158] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0159] In this invention, the server includes means for collecting consumption history and social information based on user access permissions; means for analyzing the collected information and generating a profile of the user's preferences and lifestyle; and means for estimating the user's emotions in real time based on emotion analysis and adjusting the interior design plan considering the results. This enables the provision of interior designs that respond to the user's individual emotions, resulting in an emotionally sensitive design experience.

[0160] "Access permission" refers to the consent or authorization necessary for a user to provide information.

[0161] "Consumption history" refers to a record of products that a user has purchased so far.

[0162] "Social information" refers to information related to a user's personal activities and interests that they share on social media and other platforms.

[0163] A "profile" is a collection of individual information created based on data about a user's preferences and lifestyle.

[0164] An "interior design plan" refers to the design and layout planned to decorate the user's living space.

[0165] Augmented reality technology is a technology that overlays digital information onto the real world environment.

[0166] "Virtual reality technology" is a technology that allows users to experience computer-generated environments as if they were real.

[0167] "Visual simulation" is a technique that visually represents a proposed design and presents that image to the user.

[0168] "Budget management" is the process of optimally allocating the economic resources necessary to implement a planned design.

[0169] "Emotion analysis" is the process of estimating a user's emotional state at a given time based on their facial expressions, voice, and other factors.

[0170] This interior design support system is realized through the integrated functioning of users, servers, and terminals.

[0171] First, users need to log in to their account through a dedicated application or web platform. After logging in, users review the privacy policy and terms of service and grant the server the necessary permissions to provide information. Based on these permissions, the server collects the user's consumption history and social information, anonymizes this data, and stores it in a database.

[0172] The server utilizes the collected information to generate a profile of the user's preferences and lifestyle. This profile is generated by a computer algorithm, and based on the analysis, a personalized interior design plan is constructed.

[0173] Furthermore, the device is equipped with an emotion engine that estimates the user's emotions in real time by analyzing their facial expressions and voice. This emotion analysis data is used by the server to adjust the interior design plan. For example, if the user wants to relax, calm colors and soft furniture will be suggested.

[0174] The device also uses augmented reality (AR) and virtual reality (VR) technologies to visually simulate and present the generated interior design plan to the user. This allows the user to see how the design fits into the real space through the device. The user can then use the visualized information to decide whether to accept the proposed design or make adjustments as needed.

[0175] As a concrete example, suppose a user wants to change the interior of their home office and desires a relaxing design. Based on collected data and real-time sentiment analysis, the server constructs a design that provides a tranquil environment. Finally, the server proposes the most suitable and optimized solution within the user's budget.

[0176] Furthermore, examples of prompts for the generating AI model include text such as, "Please suggest a design that will allow the user to relax in their home office. Please consider using calming colors, soft furniture, and optimizing within budget." This prompt provides the information that the system uses to generate an interior design that suits the user.

[0177] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0178] Step 1:

[0179] The user accesses a dedicated application or web platform and logs into their account. The input is the user's login information, and the output is the access permission granted after authentication. After logging in, the user reviews the terms of service and grants the necessary access permissions to provide information. Specific actions include clicking an agreement button on the screen.

[0180] Step 2:

[0181] After obtaining permission from the user, the server collects consumption history and social information and stores it in a database. The input is the user's authorized personal data, and the output is organized, anonymized data. The server uses protocols to retrieve information and applies algorithms to anonymize the data. Specific operations include filtering and encrypting the user's purchase history.

[0182] Step 3:

[0183] The server analyzes the collected data and generates user profiles related to preferences and lifestyles. The input is anonymized customer information, and the output is a user profile. The server performs data analysis using a generative AI model and creates profiles using algorithms. Specifically, data clustering and pattern recognition are performed.

[0184] Step 4:

[0185] The device's built-in emotion engine analyzes the user's facial expressions and voice in real time to estimate their emotions. The input is the user's visual and audio signals, and the output is the result of the emotional state assessment. The device uses a camera and microphone, along with machine learning algorithms, to analyze emotions. Specific operations include facial expression analysis and voice tone analysis.

[0186] Step 5:

[0187] The server adjusts the interior design plan based on the sentiment analysis results. The input is the user's sentiment data and existing profile, and the output is a customized design proposal. The server optimizes the design using a recommendation algorithm. Specific actions include changing color selections and adjusting furniture styles.

[0188] Step 6:

[0189] The device uses augmented reality or virtual reality technology to provide the user with a visual simulation of the proposed interior design. The input is customized design data, and the output is a real-time visual representation using AR / VR. The device generates visual information using a headset or display. Specifically, it performs the construction of a virtual space and real-time rendering.

[0190] (Application Example 2)

[0191] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0192] In modern commercial facilities, there is a growing need to flexibly adjust store spaces in response to customer emotions and circumstances, but current design processes make it difficult to achieve this immediately. Furthermore, there is a lack of a smooth system that can accurately grasp customer emotions and reflect them in the design in real time. Therefore, there is a demand for an effective design adjustment system that can optimize the customer experience.

[0193] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0194] In this invention, the server includes means for acquiring purchase history and interaction information based on user permission; means for analyzing the acquired information to generate a set of information regarding the user's preferences and lifestyle; means for creating an individualized interior space design plan based on the generated set of information; means for providing a visual simulation of the interior space design plan using augmented reality or virtual reality technology; means for optimizing the proposal of fixtures and equipment within the plan based on budget management; and means for recognizing customer emotions and dynamically adjusting design proposals based on those emotions. This enables improved customer experience and immediate design adjustments in commercial facilities.

[0195] A "user" is an individual or group that uses a specific function or service.

[0196] "Permission" is formal consent given by the user to allow the system to acquire and analyze information.

[0197] "Purchase history" refers to a record of products and services that a user has purchased in the past.

[0198] "Interaction information" refers to data related to communication and social interaction between users and others.

[0199] An "information cluster" is a collection of information gathered and linked from various data sources.

[0200] An "interior space design plan" is a design proposal for the interior and layout of a specific physical space.

[0201] Augmented reality technology is a technology that overlays digital information onto real-world scenery.

[0202] "Virtual reality technology" is a technology that allows users to experience a completely computer-generated environment.

[0203] "Visual simulation" is the process of visually simulating what an actual product or design will look like.

[0204] "Budget management" is the process of understanding the costs involved in a plan and allocating them appropriately.

[0205] "Equipment" refers to objects or tools used for a specific purpose.

[0206] An "device" is a machine or system configured to perform a specific function.

[0207] "Emotions" are psychological characteristics that describe an individual's inner state or reaction.

[0208] "Design proposal" refers to a design plan or recommendation proposed for a specific purpose or requirement.

[0209] The system implementing this invention is built around a server, and users access it through devices such as smartphones and tablet terminals. The server obtains data such as purchase history and interaction information with the user's permission. This data is anonymized and protected from external leakage. The obtained data is analyzed by an analysis engine on the server, and a set of information based on the user's preferences and lifestyle is generated. Using this set of information, the server creates an individualized internal space design plan.

[0210] Visual simulation of the design is performed on the user's device using augmented reality (AR) or virtual reality (VR) technology. This allows the user to preview the appearance and atmosphere of the design in the actual physical space. Furthermore, the server takes the user's budget into consideration and proposes optimized fixtures and equipment. At this time, the server recognizes emotions through the customer's facial expressions and voice data, enabling it to dynamically adjust the design based on the user's emotions.

[0211] As a concrete example, if a retail store detects a customer's desire to relax, the server will adjust the store's lighting and suggest relaxing music. Furthermore, the generative AI model used to generate design proposals receives prompts such as, "Please provide a program that analyzes customer emotions within a commercial facility and proposes designs to improve spatial comfort." This allows for the use of machine learning algorithms to achieve more accurate design proposals.

[0212] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0213] Step 1:

[0214] The server securely retrieves purchase history and interaction information based on the user's permission. In this step, the server collects data from the user's device and stores the retrieved information in a database. The inputs are the user's permission and data, and the output is storage in the database.

[0215] Step 2:

[0216] The server analyzes user purchase history and interaction information stored in the database to generate a set of information about user preferences and lifestyles. This involves using machine learning algorithms to analyze past data patterns and create user profiles. The input is the database information, and the output is the generated user profile.

[0217] Step 3:

[0218] The server creates a personalized interior space design plan based on the generated user profile. Here, a generative AI model is used to automatically generate a design that matches the user's preferences. The input is the user profile, and the output is the interior space design plan.

[0219] Step 4:

[0220] The user's device uses augmented reality or virtual reality technology to visually simulate the created interior space design plan. This allows the user to experience a simulation of the design in their own space and to intuitively evaluate it. The input is the interior space design plan, and the output is a visual simulation display.

[0221] Step 5:

[0222] The server proposes optimized furnishings and equipment within the design plan, taking the user's budget management into consideration. This involves making the best selections within the limits of economic constraints. The inputs are budget information and the design plan, and the output is an optimized proposal list.

[0223] Step 6:

[0224] The server monitors the user's facial expressions and voice data to recognize their emotions. Based on this information, it dynamically adjusts design suggestions to provide an appropriate experience. The input is real-time user data, and the output is the adjusted design suggestions.

[0225] Step 7:

[0226] The server creates prompts for the generative AI model and sends them to improve the accuracy of design proposals. These prompts allow the use of the latest AI technologies. The input consists of the required proposal conditions, and the output is an optimized proposal from the generative AI model.

[0227] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0228] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0229] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0230] [Second Embodiment]

[0231] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0232] As shown in Figure 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.

[0233] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0234] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0235] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0236] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0237] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0238] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0239] The specific processing program 56 is an example of a "program" relating to the technology of this 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 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.

[0240] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0241] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0242] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0243] To implement this invention, the user must first create an account on a dedicated application or web platform and log in. The user, considering their privacy, reviews the terms of service and grants the server permission to access necessary information. This information includes past purchase history and social information. Once the user grants permission, the server collects this information and stores it in a database in an anonymized form.

[0244] Next, the server analyzes the collected data and generates a profile that characterizes the user's preferences and lifestyle. The generated profile includes the user's preferred interior style, color tendencies, and material preferences. Based on this profile, the server generates an optimal interior design plan.

[0245] Once the interior design plan is generated, the server sends the plan to the user's terminal. Through the terminal, the user can experience a visual simulation using AR / VR technology. This allows the user to visualize and confirm in real time how the design will look in their own living space.

[0246] Furthermore, the server optimizes the furniture and fixtures used in the interior design based on the user's budget. To ensure the budget is not exceeded, the server suggests alternatives and makes adjustments to reduce costs. In this process, products made from sustainable materials are also taken into consideration.

[0247] Users can share their interior design plans with other users and receive feedback through the system's community features. The server then uses the collected feedback to suggest improvements to the design, enhancing the final plan's quality.

[0248] As a concrete example, a user might use the system for a newly purchased living room. The user provides the server with information about sofas and lighting they have previously purchased, and based on this information, the server recommends Scandinavian-style designs. The user can visually check how the design fits into their room using the AR function of their device and request adjustments as needed. Finally, the server makes the best selection within the budget, and the user makes a decision based on the results. This entire process smoothly realizes personalized interior design.

[0249] The following describes the processing flow.

[0250] Step 1:

[0251] Users log in to a dedicated application or web platform and grant permission to access their past purchase history and social information. Users review the privacy policy and provide the necessary consent.

[0252] Step 2:

[0253] The server uses access information provided by the user to securely collect purchase history and social network information. This information is anonymized and stored in a database.

[0254] Step 3:

[0255] The server analyzes the collected data and generates a profile that reflects the user's preferences and lifestyle. This profile includes preferred styles and colors, as well as tendencies in materials they want to use.

[0256] Step 4:

[0257] The server then constructs a personalized interior design plan based on the generated profile. This includes furniture and interior placement, as well as the selection of suggested products.

[0258] Step 5:

[0259] The server sends the interior design plan to the user's device. The device uses the received data to perform a visual simulation using AR / VR technology. The user can see in real time how the design will look in their own living space.

[0260] Step 6:

[0261] Users can view the visualized design through their device and make changes or requests as needed. They then send their changes to the server for final adjustments.

[0262] Step 7:

[0263] The server takes the user's budget information into consideration and optimizes the selected furniture and fixtures. It suggests alternatives to stay within budget and adjusts the plan according to the user's requirements.

[0264] Step 8:

[0265] Users can share their final design plans with a community within the system. Receiving feedback from other users helps improve and optimize the design.

[0266] (Example 1)

[0267] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0268] In recent years, there has been a growing demand for personalized design proposals that cater to the diverse preferences and lifestyles of consumers. However, achieving this presents challenges, including the difficulty of accurately understanding past consumer behavior and preferences while protecting user privacy and efficiently designing products within budget constraints. Furthermore, building a platform that allows for easy sharing of design proposals and the incorporation of feedback is a key issue.

[0269] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0270] In this invention, the server includes means for collecting and anonymizing consumption history and social information based on user permission; means for analyzing the collected information to generate a profile characterizing the user's preferences and lifestyle; and means for constructing an individualized spatial design plan based on the generated profile. This makes it possible to present individualized design proposals while protecting privacy and to realize efficient spatial design in accordance with the budget.

[0271] "Access permission" refers to the permission granted by a user when providing information to a server, allowing it to collect and analyze that information.

[0272] "Consumption history" refers to information about a user's past purchasing activities and product choices, and is used to understand the user's preferences.

[0273] "Social information" refers to information based on a user's social networks and online activities, and is used to characterize a user's lifestyle.

[0274] "Anonymization" refers to the process of transforming data so that individuals cannot be identified, and is carried out to protect user privacy.

[0275] A "profile" refers to an aggregation of information that characterizes a user's preferences and lifestyle based on collected data.

[0276] "Space design planning" refers to a plan that proposes the placement of furniture and decorations according to the user's preferences and lifestyle, and aims to optimize the resources used.

[0277] Augmented reality is a technology that overlays digital information onto the real world to provide users with a richer experience.

[0278] "Virtual reality" is a technology that immerses users in a computer-generated virtual space, providing them with experiences in an environment that is not real.

[0279] "Community function" refers to a function within the system that facilitates interaction among users and improves the accuracy of design proposals by exchanging information and opinions.

[0280] A "generative AI model" is a type of artificial intelligence technology that analyzes large amounts of data and makes optimal suggestions based on user requests and conditions.

[0281] The embodiment for implementing the present invention is composed of a user, a server, and a terminal. The user uses a dedicated application or web platform to create an account and log in. Considering the protection of personal information, the user gives the server permission to access consumption history and social information. This information is necessary to understand the user's preferences and lifestyle.

[0282] The server anonymizes the received information and securely stores it in a database. The server uses a generative AI model to analyze the collected data and generate a profile reflecting the user's preferences. Based on this profile, an individualized space design plan tailored to the user's needs is constructed.

[0283] The server sends the plan to the user's terminal. The user's terminal uses augmented reality (AR) or virtual reality (VR) technology to visually simulate the space design plan. This allows the user to confirm in real time how the design plan will actually be arranged in their space.

[0284] Furthermore, the server takes into account the budget set by the user and makes a cost-effective proposal to optimize the selection of structures and devices to be used within the plan. This also includes the selection of products using sustainable materials.

[0285] Utilizing the community function, the user can share their design plan with other users and collect feedback from different perspectives. The server analyzes the collected feedback to further improve the design plan and make the final proposal more satisfactory.

[0286] As a specific example, when a user plans a new living room design, the server may propose a Nordic style by using the user's past furniture purchase history. The user can use the AR / VR function to check how it will look in their home and request adjustments if necessary. Also, by providing the server with a prompt sentence like "Generate recommended interior designs based on the user's purchase history", appropriate proposals can be received.

[0287] The flow of the specific process in Example 1 will be described using FIG. 11.

[0288] Step 1:

[0289] The user accesses a dedicated application or web platform to create an account. After logging in, the user gives the server permission to access their consumption history and social information. The input is data related to the user's basic information and permissions, and the output is permission information that is securely stored in the database.

[0290] Step 2:

[0291] The server collects the consumption history and social information received from the user and performs anonymization processing. The input is the user's consumption history and social information, and an anonymization algorithm is applied as data processing. The output is an anonymized dataset, which is securely stored in the database.

[0292] Step 3:

[0293] The server uses a generative AI model to analyze the anonymized data and generate a profile that characterizes the user's preferences and lifestyle. In this step, the anonymized dataset is used as the input, and feature extraction and profile construction are performed as data operations. The output is a profile specialized for the user.

[0294] Step 4:

[0295] The server constructs an individualized spatial design plan based on the generated profile. The input is the user profile, and an optimized design plan is formulated using a generated AI model. The output is the spatial design plan, which is then sent to the user.

[0296] Step 5:

[0297] The terminal receives a spatial design plan transmitted from the server and uses augmented reality or virtual reality technology to perform a visual simulation of the design. The input is the design plan from the server, and data processing involves generating visual effects and displaying them in AR / VR. The output is the visual simulation experienced by the user.

[0298] Step 6:

[0299] The server optimizes the selection of structures and equipment to be used within the design plan, taking into account the budget set by the user. The input is the user's budget information and spatial design plan, and cost optimization is performed as a data calculation. The output is the optimal selection result within the budget, which is provided to the user.

[0300] Step 7:

[0301] Users share their design plans with other users through a community function and collect feedback. The input is the user's design proposal, and the output is feedback information from other users. The server that collects the feedback then makes suggestions for improving the design proposal.

[0302] (Application Example 1)

[0303] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0304] There is a need to propose an optimal interior design according to the preferences and budgets of individual users and provide an environment that can be visually confirmed. Furthermore, there is an increasing need for a system that enables users to easily evaluate the proposed plans and perform optimization that reflects feedback. In addition, it is required to experience products in real time through virtual stores and make flexible proposals using a generative AI model.

[0305] The specific processing by the specific processing unit 290 of the data processing apparatus 12 in Application Example 1 is realized by the following means.

[0306] In this invention, the server includes means for collecting aggregated history and communication information based on access permission from a user, means for analyzing the aggregated information and generating user information regarding the user's preferences and lifestyle habits, and means for constructing a specialized interior design plan based on the generated user information. Thereby, it becomes possible to propose an interior plan that meets the individual needs of the user, intuitively confirm the effect through visual simulation, and make an optimized decision through improvement.

[0307] "Access permission" is an act in which a user permits the collection and use of their own information.

[0308] "Aggregated history" is a general term for data regarding a user's past purchases and usage history.

[0309] "Communication information" is data regarding how a user communicates with other individuals.

[0310] "User information" is a profile showing the analysis results regarding the user's preferences and lifestyle habits.

[0311] "Specialized interior design plan" is a design drawing of the interior customized according to the individual needs and preferences of the user.

[0312] "Visual simulation" is a technology that visualizes a designed plan using virtual space or augmented reality, allowing users to experience it.

[0313] A "virtual store" is a digital space where users can browse and experience products and services online.

[0314] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze diverse data and present optimal information to individual users.

[0315] A "prompt message" is text that facilitates dialogue and suggestions generated based on user input.

[0316] To implement this invention, users must first create an account using a smartphone or compatible device with a dedicated application installed and log in to the system. Users grant access permissions to the application, thereby consenting to the use of past aggregated history and interaction information. The server, having obtained access permissions, collects and analyzes this data and uses a generative AI model to create user information that characterizes the user's preferences and lifestyle.

[0317] Next, the server uses this user information to create a customized interior design plan. The user can use their device to visually review the plan using augmented reality or virtual reality technology and simulate how it would fit into their real living space. Furthermore, the server utilizes budget management functions to optimize the furniture and fixtures within the plan. Budget-based selections ensure that suggestions also take into account the use of sustainable materials.

[0318] Furthermore, users can share their plans with other users and experts within the virtual store and receive feedback. Based on this feedback, the server makes suggestions to improve the design plan. In this process, a generative AI model is used to generate prompt statements to support the user's decision-making.

[0319] As a concrete example, consider a user who desires a natural-style living room. This user can generate a prompt such as, "Please propose a natural design for my living room, referencing my past furniture choices. Please create a plan that can be visualized using AR, while considering sustainable materials." Based on this prompt, the server will make the best possible suggestions, and the user can visually review the results and further improve them through feedback.

[0320] Such a system allows users to easily plan and implement interior designs that meet their specific needs.

[0321] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0322] Step 1:

[0323] The server collects aggregate history and interaction information after receiving permission from the user. It uses the user's permission data as input and retrieves consumption history and communication information from the database based on this. The obtained information is then prepared for analysis.

[0324] Step 2:

[0325] The server uses a generative AI model based on the collected information to generate user information about user preferences and lifestyles. It analyzes consumption history and interaction data as input and outputs a profile that shows the user's characteristics and preferences. Features are extracted through calculations based on the data model, forming new profile information.

[0326] Step 3:

[0327] The server constructs a customized interior design plan based on the generated user information. It uses user profile information as input and combines relevant design patterns from a plan database to output a specific interior design plan. During this process, a design based on the user's preferences is selected.

[0328] Step 4:

[0329] The terminal uses augmented reality or virtual reality technology to visualize the interior design plan received from the server. Using the user's environment and interior plan as input, it generates a real-time visual mockup through the AR / VR system. The user can then evaluate the plan through the visual data.

[0330] Step 5:

[0331] The server optimizes the selection of furniture and fixtures based on the budget information set by the user. It requires the user's budget and design plan as input and outputs suggestions for appropriate alternatives. It analyzes cost and quality to present options that meet the user's needs.

[0332] Step 6:

[0333] Users share their design plans with other users within a virtual store and gather feedback. They share their design plans as input and collect responses from other users. This allows users to receive evaluations from diverse perspectives and make further improvements.

[0334] Step 7:

[0335] The server uses a generative AI model to refine the design plan based on feedback. It also generates prompts and outputs suggestions based on user preferences. Using feedback as input, it generates new design suggestions and prompts, which are then sent to the user. This process allows the user to achieve a more refined design.

[0336] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0337] This invention is an interior design support system that combines an emotion engine that recognizes user emotions. To use this system, users must first access a dedicated application or web platform and log in with their account. For privacy protection, users must review the terms of service related to access permissions and provide the necessary consent to the server. This ensures that purchase history and social information are securely provided to the server.

[0338] The server collects this permitted information and stores it in a database. Based on this data, the server analyzes the user's preferences and lifestyle and generates a user-specific profile. This profile is then used to create a personalized interior design plan.

[0339] Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice to estimate their emotions in real time. This allows the server to adjust the interior design plan while considering the user's current emotional state. For example, when the user wants to relax, it recommends calm colors and soft furniture, while when they are feeling active, it suggests colorful designs and modern furniture.

[0340] The user's device uses AR / VR technology to visually simulate the interior design, providing the user with a real-time design review experience. In this process, the user can judge their own feelings and preferences based on the visualizations displayed through the device and choose whether to accept or modify the design.

[0341] As a concrete example, imagine a user who wants to redesign their home office. The user accesses the system and requests a design that will make them feel comfortable emotionally. Based on past information and real-time emotional analysis by an emotion engine, the server constructs a design that provides a tranquil environment. The user can then see how this design fits into their actual space via AR, and the server further optimizes it within the budget to complete the proposal.

[0342] In this way, an interior design system that incorporates an emotional engine can provide users with a more personalized and emotionally sensitive design experience.

[0343] The following describes the processing flow.

[0344] Step 1:

[0345] Users log in to a dedicated application or web platform and provide the necessary consents to use the system. This includes permission to access purchase history and social information.

[0346] Step 2:

[0347] The server collects information authorized by the user, namely purchase history and social information, anonymizes it, and stores it in a database.

[0348] Step 3:

[0349] The server analyzes the collected data and generates a profile based on the user's preferences and lifestyle. This profile includes preferred interior styles, color palettes, and other similar elements.

[0350] Step 4:

[0351] The emotion engine built into the device analyzes the user's facial expressions and voice in real time to estimate their current emotional state.

[0352] Step 5:

[0353] The server combines the generated profile with the results of the emotion engine's analysis to create a personalized interior design plan tailored to the user's emotional state. For example, if the user wants to relax, it will select soft colors and relaxing furniture.

[0354] Step 6:

[0355] The server sends the interior design plan to the user's device, which then uses AR / VR technology to visually simulate the plan. This simulation allows the user to see how the chosen design would look in a real-world space.

[0356] Step 7:

[0357] Users can review visual simulations and request adjustments based on their preferences and budget. In response to user requests, the server optimizes the design and offers alternatives and cost-saving suggestions.

[0358] Step 8:

[0359] Once the final interior design plan is complete, users can share it with the community and receive feedback. The server analyzes the feedback and provides suggestions for design improvements as needed.

[0360] This series of steps makes it easy to create interior designs that take into account the user's emotional state.

[0361] (Example 2)

[0362] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0363] In modern society, interior design is expected to be customized to the individual user's lifestyle and emotions. However, current systems lack the ability to analyze user emotions in real time and reflect them in interior design, limiting their ability to provide personalized and emotionally sensitive designs. As a result, creating an environment where users can truly relax is a challenge.

[0364] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0365] In this invention, the server includes means for collecting consumption history and social information based on user access permissions; means for analyzing the collected information and generating a profile of the user's preferences and lifestyle; and means for estimating the user's emotions in real time based on emotion analysis and adjusting the interior design plan considering the results. This enables the provision of interior designs that respond to the user's individual emotions, resulting in an emotionally sensitive design experience.

[0366] "Access permission" refers to the consent or authorization necessary for a user to provide information.

[0367] "Consumption history" refers to a record of products that a user has purchased so far.

[0368] "Social information" refers to information related to a user's personal activities and interests that they share on social media and other platforms.

[0369] A "profile" is a collection of individual information created based on data about a user's preferences and lifestyle.

[0370] An "interior design plan" refers to the design and layout planned to decorate the user's living space.

[0371] Augmented reality technology is a technology that overlays digital information onto the real world environment.

[0372] "Virtual reality technology" is a technology that allows users to experience computer-generated environments as if they were real.

[0373] "Visual simulation" is a technique that visually represents a proposed design and presents that image to the user.

[0374] "Budget management" is the process of optimally allocating the economic resources necessary to implement a planned design.

[0375] "Emotion analysis" is the process of estimating a user's emotional state at a given time based on their facial expressions, voice, and other factors.

[0376] This interior design support system is realized through the integrated functioning of users, servers, and terminals.

[0377] First, users need to log in to their account through a dedicated application or web platform. After logging in, users review the privacy policy and terms of service and grant the server the necessary permissions to provide information. Based on these permissions, the server collects the user's consumption history and social information, anonymizes this data, and stores it in a database.

[0378] The server utilizes the collected information to generate a profile of the user's preferences and lifestyle. This profile is generated by a computer algorithm, and based on the analysis, a personalized interior design plan is constructed.

[0379] Furthermore, the device is equipped with an emotion engine that estimates the user's emotions in real time by analyzing their facial expressions and voice. This emotion analysis data is used by the server to adjust the interior design plan. For example, if the user wants to relax, calm colors and soft furniture will be suggested.

[0380] The device also uses augmented reality (AR) and virtual reality (VR) technologies to visually simulate and present the generated interior design plan to the user. This allows the user to see how the design fits into the real space through the device. The user can then use the visualized information to decide whether to accept the proposed design or make adjustments as needed.

[0381] As a concrete example, suppose a user wants to change the interior of their home office and desires a relaxing design. Based on collected data and real-time sentiment analysis, the server constructs a design that provides a tranquil environment. Finally, the server proposes the most suitable and optimized solution within the user's budget.

[0382] Furthermore, examples of prompts for the generating AI model include text such as, "Please suggest a design that will allow the user to relax in their home office. Please consider using calming colors, soft furniture, and optimizing within budget." This prompt provides the information that the system uses to generate an interior design that suits the user.

[0383] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0384] Step 1:

[0385] The user accesses a dedicated application or web platform and logs into their account. The input is the user's login information, and the output is the access permission granted after authentication. After logging in, the user reviews the terms of service and grants the necessary access permissions to provide information. Specific actions include clicking an agreement button on the screen.

[0386] Step 2:

[0387] After obtaining permission from the user, the server collects consumption history and social information and stores it in a database. The input is the user's authorized personal data, and the output is organized, anonymized data. The server uses protocols to retrieve information and applies algorithms to anonymize the data. Specific operations include filtering and encrypting the user's purchase history.

[0388] Step 3:

[0389] The server analyzes the collected data and generates user profiles related to preferences and lifestyles. The input is anonymized customer information, and the output is a user profile. The server performs data analysis using a generative AI model and creates profiles using algorithms. Specifically, data clustering and pattern recognition are performed.

[0390] Step 4:

[0391] The device's built-in emotion engine analyzes the user's facial expressions and voice in real time to estimate their emotions. The input is the user's visual and audio signals, and the output is the result of the emotional state assessment. The device uses a camera and microphone, along with machine learning algorithms, to analyze emotions. Specific operations include facial expression analysis and voice tone analysis.

[0392] Step 5:

[0393] The server adjusts the interior design plan based on the sentiment analysis results. The input is the user's sentiment data and existing profile, and the output is a customized design proposal. The server optimizes the design using a recommendation algorithm. Specific actions include changing color selections and adjusting furniture styles.

[0394] Step 6:

[0395] The device uses augmented reality or virtual reality technology to provide the user with a visual simulation of the proposed interior design. The input is customized design data, and the output is a real-time visual representation using AR / VR. The device generates visual information using a headset or display. Specifically, it performs the construction of a virtual space and real-time rendering.

[0396] (Application Example 2)

[0397] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0398] In modern commercial facilities, there is a growing need to flexibly adjust store spaces in response to customer emotions and circumstances, but current design processes make it difficult to achieve this immediately. Furthermore, there is a lack of a smooth system that can accurately grasp customer emotions and reflect them in the design in real time. Therefore, there is a demand for an effective design adjustment system that can optimize the customer experience.

[0399] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0400] In this invention, the server includes means for acquiring purchase history and interaction information based on user permission; means for analyzing the acquired information to generate a set of information regarding the user's preferences and lifestyle; means for creating an individualized interior space design plan based on the generated set of information; means for providing a visual simulation of the interior space design plan using augmented reality or virtual reality technology; means for optimizing the proposal of fixtures and equipment within the plan based on budget management; and means for recognizing customer emotions and dynamically adjusting design proposals based on those emotions. This enables improved customer experience and immediate design adjustments in commercial facilities.

[0401] A "user" is an individual or group that uses a specific function or service.

[0402] "Permission" is formal consent given by the user to allow the system to acquire and analyze information.

[0403] "Purchase history" refers to a record of products and services that a user has purchased in the past.

[0404] "Interaction information" refers to data related to communication and social interaction between users and others.

[0405] An "information cluster" is a collection of information gathered and linked from various data sources.

[0406] An "interior space design plan" is a design proposal for the interior and layout of a specific physical space.

[0407] Augmented reality technology is a technology that overlays digital information onto real-world scenery.

[0408] "Virtual reality technology" is a technology that allows users to experience a completely computer-generated environment.

[0409] "Visual simulation" is the process of visually simulating what an actual product or design will look like.

[0410] "Budget management" is the process of understanding the costs involved in a plan and allocating them appropriately.

[0411] "Equipment" refers to objects or tools used for a specific purpose.

[0412] An "device" is a machine or system configured to perform a specific function.

[0413] "Emotions" are psychological characteristics that describe an individual's inner state or reaction.

[0414] "Design proposal" refers to a design plan or recommendation proposed for a specific purpose or requirement.

[0415] The system implementing this invention is built around a server, and users access it through devices such as smartphones and tablet terminals. The server obtains data such as purchase history and interaction information with the user's permission. This data is anonymized and protected from external leakage. The obtained data is analyzed by an analysis engine on the server, and a set of information based on the user's preferences and lifestyle is generated. Using this set of information, the server creates an individualized internal space design plan.

[0416] Visual simulation of the design is performed on the user's device using augmented reality (AR) or virtual reality (VR) technology. This allows the user to preview the appearance and atmosphere of the design in the actual physical space. Furthermore, the server takes the user's budget into consideration and proposes optimized fixtures and equipment. At this time, the server recognizes emotions through the customer's facial expressions and voice data, enabling it to dynamically adjust the design based on the user's emotions.

[0417] As a concrete example, if a retail store detects a customer's desire to relax, the server will adjust the store's lighting and suggest relaxing music. Furthermore, the generative AI model used to generate design proposals receives prompts such as, "Please provide a program that analyzes customer emotions within a commercial facility and proposes designs to improve spatial comfort." This allows for the use of machine learning algorithms to achieve more accurate design proposals.

[0418] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0419] Step 1:

[0420] The server securely retrieves purchase history and interaction information based on the user's permission. In this step, the server collects data from the user's device and stores the retrieved information in a database. The inputs are the user's permission and data, and the output is storage in the database.

[0421] Step 2:

[0422] The server analyzes user purchase history and interaction information stored in the database to generate a set of information about user preferences and lifestyles. This involves using machine learning algorithms to analyze past data patterns and create user profiles. The input is the database information, and the output is the generated user profile.

[0423] Step 3:

[0424] The server creates a personalized interior space design plan based on the generated user profile. Here, a generative AI model is used to automatically generate a design that matches the user's preferences. The input is the user profile, and the output is the interior space design plan.

[0425] Step 4:

[0426] The user's device uses augmented reality or virtual reality technology to visually simulate the created interior space design plan. This allows the user to experience a simulation of the design in their own space and to intuitively evaluate it. The input is the interior space design plan, and the output is a visual simulation display.

[0427] Step 5:

[0428] The server proposes optimized furnishings and equipment within the design plan, taking the user's budget management into consideration. This involves making the best selections within the limits of economic constraints. The inputs are budget information and the design plan, and the output is an optimized proposal list.

[0429] Step 6:

[0430] The server monitors the user's facial expressions and voice data to recognize their emotions. Based on this information, it dynamically adjusts design suggestions to provide an appropriate experience. The input is real-time user data, and the output is the adjusted design suggestions.

[0431] Step 7:

[0432] The server creates prompts for the generative AI model and sends them to improve the accuracy of design proposals. These prompts allow the use of the latest AI technologies. The input consists of the required proposal conditions, and the output is an optimized proposal from the generative AI model.

[0433] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0434] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0435] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0436] [Third Embodiment]

[0437] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0438] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0439] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0440] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0441] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0442] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0443] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0444] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0445] The specific processing program 56 is an example of a "program" relating to the technology of this 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 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.

[0446] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0447] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0448] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0449] To implement this invention, the user must first create an account on a dedicated application or web platform and log in. The user, considering their privacy, reviews the terms of service and grants the server permission to access necessary information. This information includes past purchase history and social information. Once the user grants permission, the server collects this information and stores it in a database in an anonymized form.

[0450] Next, the server analyzes the collected data and generates a profile that characterizes the user's preferences and lifestyle. The generated profile includes the user's preferred interior style, color tendencies, and material preferences. Based on this profile, the server generates an optimal interior design plan.

[0451] Once the interior design plan is generated, the server sends the plan to the user's terminal. Through the terminal, the user can experience a visual simulation using AR / VR technology. This allows the user to visualize and confirm in real time how the design will look in their own living space.

[0452] Furthermore, the server optimizes the furniture and fixtures used in the interior design based on the user's budget. To ensure the budget is not exceeded, the server suggests alternatives and makes adjustments to reduce costs. In this process, products made from sustainable materials are also taken into consideration.

[0453] Users can share their interior design plans with other users and receive feedback through the system's community features. The server then uses the collected feedback to suggest improvements to the design, enhancing the final plan's quality.

[0454] As a concrete example, a user might use the system for a newly purchased living room. The user provides the server with information about sofas and lighting they have previously purchased, and based on this information, the server recommends Scandinavian-style designs. The user can visually check how the design fits into their room using the AR function of their device and request adjustments as needed. Finally, the server makes the best selection within the budget, and the user makes a decision based on the results. This entire process smoothly realizes personalized interior design.

[0455] The following describes the processing flow.

[0456] Step 1:

[0457] Users log in to a dedicated application or web platform and grant permission to access their past purchase history and social information. Users review the privacy policy and provide the necessary consent.

[0458] Step 2:

[0459] The server uses access information provided by the user to securely collect purchase history and social network information. This information is anonymized and stored in a database.

[0460] Step 3:

[0461] The server analyzes the collected data and generates a profile that reflects the user's preferences and lifestyle. This profile includes preferred styles and colors, as well as tendencies in materials they want to use.

[0462] Step 4:

[0463] The server then constructs a personalized interior design plan based on the generated profile. This includes furniture and interior placement, as well as the selection of suggested products.

[0464] Step 5:

[0465] The server sends the interior design plan to the user's device. The device uses the received data to perform a visual simulation using AR / VR technology. The user can see in real time how the design will look in their own living space.

[0466] Step 6:

[0467] Users can view the visualized design through their device and make changes or requests as needed. They then send their changes to the server for final adjustments.

[0468] Step 7:

[0469] The server takes the user's budget information into consideration and optimizes the selected furniture and fixtures. It suggests alternatives to stay within budget and adjusts the plan according to the user's requirements.

[0470] Step 8:

[0471] Users can share their final design plans with a community within the system. Receiving feedback from other users helps improve and optimize the design.

[0472] (Example 1)

[0473] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0474] In recent years, there has been a growing demand for personalized design proposals that cater to the diverse preferences and lifestyles of consumers. However, achieving this presents challenges, including the difficulty of accurately understanding past consumer behavior and preferences while protecting user privacy and efficiently designing products within budget constraints. Furthermore, building a platform that allows for easy sharing of design proposals and the incorporation of feedback is a key issue.

[0475] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0476] In this invention, the server includes means for collecting and anonymizing consumption history and social information based on user permission; means for analyzing the collected information to generate a profile characterizing the user's preferences and lifestyle; and means for constructing an individualized spatial design plan based on the generated profile. This makes it possible to present individualized design proposals while protecting privacy and to realize efficient spatial design in accordance with the budget.

[0477] "Access permission" refers to the permission granted by a user when providing information to a server, allowing it to collect and analyze that information.

[0478] "Consumption history" refers to information about a user's past purchasing activities and product choices, and is used to understand the user's preferences.

[0479] "Social information" refers to information based on a user's social networks and online activities, and is used to characterize a user's lifestyle.

[0480] "Anonymization" refers to the process of transforming data so that individuals cannot be identified, and is carried out to protect user privacy.

[0481] A "profile" refers to an aggregation of information that characterizes a user's preferences and lifestyle based on collected data.

[0482] "Space design planning" refers to a plan that proposes the placement of furniture and decorations according to the user's preferences and lifestyle, and aims to optimize the resources used.

[0483] Augmented reality is a technology that overlays digital information onto the real world to provide users with a richer experience.

[0484] "Virtual reality" is a technology that immerses users in a computer-generated virtual space, providing them with experiences in an environment that is not real.

[0485] "Community function" refers to a function within the system that facilitates interaction among users and improves the accuracy of design proposals by exchanging information and opinions.

[0486] A "generative AI model" is a type of artificial intelligence technology that analyzes large amounts of data and makes optimal suggestions based on user requests and conditions.

[0487] An embodiment of the present invention consists of a user, a server, and a terminal. The user uses a dedicated application or web platform to create an account and log in. The user grants the server permission to access their consumption history and social information, while taking into consideration the protection of personal information. This information is necessary to understand the user's preferences and lifestyle.

[0488] The server anonymizes the received information and securely stores it in a database. Using a generative AI model, the server analyzes the collected data and generates a profile that reflects the user's preferences. Based on this profile, it constructs a personalized spatial design plan tailored to the user's needs.

[0489] The server sends the plan to the user's device. The user's device uses augmented reality (AR) or virtual reality (VR) technology to visually simulate the spatial design plan. This allows the user to see in real time how the design will actually be placed in their space.

[0490] Furthermore, the server takes the user's budget into consideration and optimizes the selection of structures and equipment to be used within the plan, providing cost-effective suggestions. This includes selecting products made from sustainable materials.

[0491] By utilizing the community feature, users can share their design proposals with other users and gather feedback from different perspectives. The server analyzes the collected feedback to further improve the design proposal and make the final proposal more satisfactory.

[0492] For example, when a user plans the design of a new living room, the server may use their past furniture purchase history to suggest a Scandinavian style. The user can then use AR / VR functionality to see how this design would look in their own home and request adjustments as needed. Furthermore, by providing the server with a prompt message such as "Generate recommended interior designs based on the user's purchase history," the user can receive appropriate suggestions.

[0493] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0494] Step 1:

[0495] Users access a dedicated application or web platform and create an account. After logging in, users grant the server permission to access their consumption history and social information. Inputs are the user's basic information and permission data, while outputs are permission information securely stored in the database.

[0496] Step 2:

[0497] The server collects consumption history and social information received from users and anonymizes it. The input is the user's consumption history and social information, and an anonymization algorithm is applied as data processing. The output is an anonymized dataset, which is securely stored in a database.

[0498] Step 3:

[0499] The server uses a generative AI model to analyze anonymized data and generate profiles that characterize user preferences and lifestyles. This step uses an anonymized dataset as input and performs feature extraction and profile construction as data operations. The output is a user-specific profile.

[0500] Step 4:

[0501] The server constructs an individualized spatial design plan based on the generated profile. The input is the user profile, and an optimized design plan is formulated using a generated AI model. The output is the spatial design plan, which is then sent to the user.

[0502] Step 5:

[0503] The terminal receives a spatial design plan transmitted from the server and uses augmented reality or virtual reality technology to perform a visual simulation of the design. The input is the design plan from the server, and data processing involves generating visual effects and displaying them in AR / VR. The output is the visual simulation experienced by the user.

[0504] Step 6:

[0505] The server optimizes the selection of structures and equipment to be used within the design plan, taking into account the budget set by the user. The input is the user's budget information and spatial design plan, and cost optimization is performed as a data calculation. The output is the optimal selection result within the budget, which is provided to the user.

[0506] Step 7:

[0507] Users share their design plans with other users through a community function and collect feedback. The input is the user's design proposal, and the output is feedback information from other users. The server that collects the feedback then makes suggestions for improving the design proposal.

[0508] (Application Example 1)

[0509] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0510] There is a growing need to propose optimal interior designs tailored to individual user preferences and budgets, and to provide an environment where users can visually confirm these designs. Furthermore, there is an increasing need for a system that allows users to easily evaluate proposed plans and optimize them based on their feedback. In addition, there is a demand for systems that allow users to experience products in real time through virtual stores and to provide flexible suggestions using generative AI models.

[0511] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0512] In this invention, the server includes means for collecting aggregated history and interaction information based on user access permissions, means for analyzing the aggregated information and generating user information regarding the user's preferences and lifestyle, and means for constructing a specialized interior design plan based on the generated user information. This makes it possible to propose an interior design plan that meets the individual needs of the user, to intuitively confirm its effects through visual simulation, and to make an optimized decision through improvements.

[0513] "Access permission" is the act of a user granting permission for others to collect and use their information.

[0514] "Aggregated history" refers to the collective data on a user's past purchase and usage history.

[0515] "Interaction information" refers to data about how a user communicated with other individuals.

[0516] "User information" refers to a profile that shows the results of an analysis of the user's preferences and lifestyle.

[0517] A "specialized interior design plan" is a design drawing for an interior that is customized according to the individual needs and preferences of the user.

[0518] "Visual simulation" is a technology that visualizes a designed plan using virtual space or augmented reality, allowing users to experience it.

[0519] A "virtual store" is a digital space where users can browse and experience products and services online.

[0520] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze diverse data and present optimal information to individual users.

[0521] A "prompt message" is text that facilitates dialogue and suggestions generated based on user input.

[0522] To implement this invention, users must first create an account using a smartphone or compatible device with a dedicated application installed and log in to the system. Users grant access permissions to the application, thereby consenting to the use of past aggregated history and interaction information. The server, having obtained access permissions, collects and analyzes this data and uses a generative AI model to create user information that characterizes the user's preferences and lifestyle.

[0523] Next, the server uses this user information to create a customized interior design plan. The user can use their device to visually review the plan using augmented reality or virtual reality technology and simulate how it would fit into their real living space. Furthermore, the server utilizes budget management functions to optimize the furniture and fixtures within the plan. Budget-based selections ensure that suggestions also take into account the use of sustainable materials.

[0524] Furthermore, users can share their plans with other users and experts within the virtual store and receive feedback. Based on this feedback, the server makes suggestions to improve the design plan. In this process, a generative AI model is used to generate prompt statements to support the user's decision-making.

[0525] As a concrete example, consider a user who desires a natural-style living room. This user can generate a prompt such as, "Please propose a natural design for my living room, referencing my past furniture choices. Please create a plan that can be visualized using AR, while considering sustainable materials." Based on this prompt, the server will make the best possible suggestions, and the user can visually review the results and further improve them through feedback.

[0526] Such a system allows users to easily plan and implement interior designs that meet their specific needs.

[0527] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0528] Step 1:

[0529] The server collects aggregate history and interaction information after receiving permission from the user. It uses the user's permission data as input and retrieves consumption history and communication information from the database based on this. The obtained information is then prepared for analysis.

[0530] Step 2:

[0531] The server uses a generative AI model based on the collected information to generate user information about user preferences and lifestyles. It analyzes consumption history and interaction data as input and outputs a profile that shows the user's characteristics and preferences. Features are extracted through calculations based on the data model, forming new profile information.

[0532] Step 3:

[0533] The server constructs a customized interior design plan based on the generated user information. It uses user profile information as input and combines relevant design patterns from a plan database to output a specific interior design plan. During this process, a design based on the user's preferences is selected.

[0534] Step 4:

[0535] The terminal uses augmented reality or virtual reality technology to visualize the interior design plan received from the server. Using the user's environment and interior plan as input, it generates a real-time visual mockup through the AR / VR system. The user can then evaluate the plan through the visual data.

[0536] Step 5:

[0537] The server optimizes the selection of furniture and fixtures based on the budget information set by the user. It requires the user's budget and design plan as input and outputs suggestions for appropriate alternatives. It analyzes cost and quality to present options that meet the user's needs.

[0538] Step 6:

[0539] Users share their design plans with other users within a virtual store and gather feedback. They share their design plans as input and collect responses from other users. This allows users to receive evaluations from diverse perspectives and make further improvements.

[0540] Step 7:

[0541] The server uses a generative AI model to refine the design plan based on feedback. It also generates prompts and outputs suggestions based on user preferences. Using feedback as input, it generates new design suggestions and prompts, which are then sent to the user. This process allows the user to achieve a more refined design.

[0542] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0543] This invention is an interior design support system that combines an emotion engine that recognizes user emotions. To use this system, users must first access a dedicated application or web platform and log in with their account. For privacy protection, users must review the terms of service related to access permissions and provide the necessary consent to the server. This ensures that purchase history and social information are securely provided to the server.

[0544] The server collects this permitted information and stores it in a database. Based on this data, the server analyzes the user's preferences and lifestyle and generates a user-specific profile. This profile is then used to create a personalized interior design plan.

[0545] Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice to estimate their emotions in real time. This allows the server to adjust the interior design plan while considering the user's current emotional state. For example, when the user wants to relax, it recommends calm colors and soft furniture, while when they are feeling active, it suggests colorful designs and modern furniture.

[0546] The user's device uses AR / VR technology to visually simulate the interior design, providing the user with a real-time design review experience. In this process, the user can judge their own feelings and preferences based on the visualizations displayed through the device and choose whether to accept or modify the design.

[0547] As a concrete example, imagine a user who wants to redesign their home office. The user accesses the system and requests a design that will make them feel comfortable emotionally. Based on past information and real-time emotional analysis by an emotion engine, the server constructs a design that provides a tranquil environment. The user can then see how this design fits into their actual space via AR, and the server further optimizes it within the budget to complete the proposal.

[0548] In this way, an interior design system that incorporates an emotional engine can provide users with a more personalized and emotionally sensitive design experience.

[0549] The following describes the processing flow.

[0550] Step 1:

[0551] Users log in to a dedicated application or web platform and provide the necessary consents to use the system. This includes permission to access purchase history and social information.

[0552] Step 2:

[0553] The server collects information authorized by the user, namely purchase history and social information, anonymizes it, and stores it in a database.

[0554] Step 3:

[0555] The server analyzes the collected data and generates a profile based on the user's preferences and lifestyle. This profile includes preferred interior styles, color palettes, and other similar elements.

[0556] Step 4:

[0557] The emotion engine built into the device analyzes the user's facial expressions and voice in real time to estimate their current emotional state.

[0558] Step 5:

[0559] The server combines the generated profile with the results of the emotion engine's analysis to create a personalized interior design plan tailored to the user's emotional state. For example, if the user wants to relax, it will select soft colors and relaxing furniture.

[0560] Step 6:

[0561] The server sends the interior design plan to the user's device, which then uses AR / VR technology to visually simulate the plan. This simulation allows the user to see how the chosen design would look in a real-world space.

[0562] Step 7:

[0563] Users can review visual simulations and request adjustments based on their preferences and budget. In response to user requests, the server optimizes the design and offers alternatives and cost-saving suggestions.

[0564] Step 8:

[0565] Once the final interior design plan is complete, users can share it with the community and receive feedback. The server analyzes the feedback and provides suggestions for design improvements as needed.

[0566] This series of steps makes it easy to create interior designs that take into account the user's emotional state.

[0567] (Example 2)

[0568] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0569] In modern society, interior design is expected to be customized to the individual user's lifestyle and emotions. However, current systems lack the ability to analyze user emotions in real time and reflect them in interior design, limiting their ability to provide personalized and emotionally sensitive designs. As a result, creating an environment where users can truly relax is a challenge.

[0570] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0571] In this invention, the server includes means for collecting consumption history and social information based on user access permissions; means for analyzing the collected information and generating a profile of the user's preferences and lifestyle; and means for estimating the user's emotions in real time based on emotion analysis and adjusting the interior design plan considering the results. This enables the provision of interior designs that respond to the user's individual emotions, resulting in an emotionally sensitive design experience.

[0572] "Access permission" refers to the consent or authorization necessary for a user to provide information.

[0573] "Consumption history" refers to a record of products that a user has purchased so far.

[0574] "Social information" refers to information related to a user's personal activities and interests that they share on social media and other platforms.

[0575] A "profile" is a collection of individual information created based on data about a user's preferences and lifestyle.

[0576] An "interior design plan" refers to the design and layout planned to decorate the user's living space.

[0577] Augmented reality technology is a technology that overlays digital information onto the real world environment.

[0578] "Virtual reality technology" is a technology that allows users to experience computer-generated environments as if they were real.

[0579] "Visual simulation" is a technique that visually represents a proposed design and presents that image to the user.

[0580] "Budget management" is the process of optimally allocating the economic resources necessary to implement a planned design.

[0581] "Emotion analysis" is the process of estimating a user's emotional state at a given time based on their facial expressions, voice, and other factors.

[0582] This interior design support system is realized through the integrated functioning of users, servers, and terminals.

[0583] First, users need to log in to their account through a dedicated application or web platform. After logging in, users review the privacy policy and terms of service and grant the server the necessary permissions to provide information. Based on these permissions, the server collects the user's consumption history and social information, anonymizes this data, and stores it in a database.

[0584] The server utilizes the collected information to generate a profile of the user's preferences and lifestyle. This profile is generated by a computer algorithm, and based on the analysis, a personalized interior design plan is constructed.

[0585] Furthermore, the device is equipped with an emotion engine that estimates the user's emotions in real time by analyzing their facial expressions and voice. This emotion analysis data is used by the server to adjust the interior design plan. For example, if the user wants to relax, calm colors and soft furniture will be suggested.

[0586] The device also uses augmented reality (AR) and virtual reality (VR) technologies to visually simulate and present the generated interior design plan to the user. This allows the user to see how the design fits into the real space through the device. The user can then use the visualized information to decide whether to accept the proposed design or make adjustments as needed.

[0587] As a concrete example, suppose a user wants to change the interior of their home office and desires a relaxing design. Based on collected data and real-time sentiment analysis, the server constructs a design that provides a tranquil environment. Finally, the server proposes the most suitable and optimized solution within the user's budget.

[0588] Furthermore, examples of prompts for the generating AI model include text such as, "Please suggest a design that will allow the user to relax in their home office. Please consider using calming colors, soft furniture, and optimizing within budget." This prompt provides the information that the system uses to generate an interior design that suits the user.

[0589] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0590] Step 1:

[0591] The user accesses a dedicated application or web platform and logs into their account. The input is the user's login information, and the output is the access permission granted after authentication. After logging in, the user reviews the terms of service and grants the necessary access permissions to provide information. Specific actions include clicking an agreement button on the screen.

[0592] Step 2:

[0593] After obtaining permission from the user, the server collects consumption history and social information and stores it in a database. The input is the user's authorized personal data, and the output is organized, anonymized data. The server uses protocols to retrieve information and applies algorithms to anonymize the data. Specific operations include filtering and encrypting the user's purchase history.

[0594] Step 3:

[0595] The server analyzes the collected data and generates user profiles related to preferences and lifestyles. The input is anonymized customer information, and the output is a user profile. The server performs data analysis using a generative AI model and creates profiles using algorithms. Specifically, data clustering and pattern recognition are performed.

[0596] Step 4:

[0597] The device's built-in emotion engine analyzes the user's facial expressions and voice in real time to estimate their emotions. The input is the user's visual and audio signals, and the output is the result of the emotional state assessment. The device uses a camera and microphone, along with machine learning algorithms, to analyze emotions. Specific operations include facial expression analysis and voice tone analysis.

[0598] Step 5:

[0599] The server adjusts the interior design plan based on the sentiment analysis results. The input is the user's sentiment data and existing profile, and the output is a customized design proposal. The server optimizes the design using a recommendation algorithm. Specific actions include changing color selections and adjusting furniture styles.

[0600] Step 6:

[0601] The device uses augmented reality or virtual reality technology to provide the user with a visual simulation of the proposed interior design. The input is customized design data, and the output is a real-time visual representation using AR / VR. The device generates visual information using a headset or display. Specifically, it performs the construction of a virtual space and real-time rendering.

[0602] (Application Example 2)

[0603] Next, we will explain Application Example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0604] In modern commercial facilities, there is a growing need to flexibly adjust store spaces in response to customer emotions and circumstances, but current design processes make it difficult to achieve this immediately. Furthermore, there is a lack of a smooth system that can accurately grasp customer emotions and reflect them in the design in real time. Therefore, there is a demand for an effective design adjustment system that can optimize the customer experience.

[0605] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0606] In this invention, the server includes means for acquiring purchase history and interaction information based on user permission; means for analyzing the acquired information to generate a set of information regarding the user's preferences and lifestyle; means for creating an individualized interior space design plan based on the generated set of information; means for providing a visual simulation of the interior space design plan using augmented reality or virtual reality technology; means for optimizing the proposal of fixtures and equipment within the plan based on budget management; and means for recognizing customer emotions and dynamically adjusting design proposals based on those emotions. This enables improved customer experience and immediate design adjustments in commercial facilities.

[0607] A "user" is an individual or group that uses a specific function or service.

[0608] "Permission" is formal consent given by the user to allow the system to acquire and analyze information.

[0609] "Purchase history" refers to a record of products and services that a user has purchased in the past.

[0610] "Interaction information" refers to data related to communication and social interaction between users and others.

[0611] An "information cluster" is a collection of information gathered and linked from various data sources.

[0612] An "interior space design plan" is a design proposal for the interior and layout of a specific physical space.

[0613] Augmented reality technology is a technology that overlays digital information onto real-world scenery.

[0614] "Virtual reality technology" is a technology that allows users to experience a completely computer-generated environment.

[0615] "Visual simulation" is the process of visually simulating what an actual product or design will look like.

[0616] "Budget management" is the process of understanding the costs involved in a plan and allocating them appropriately.

[0617] "Equipment" refers to objects or tools used for a specific purpose.

[0618] An "device" is a machine or system configured to perform a specific function.

[0619] "Emotions" are psychological characteristics that describe an individual's inner state or reaction.

[0620] "Design proposal" refers to a design plan or recommendation proposed for a specific purpose or requirement.

[0621] The system implementing this invention is built around a server, and users access it through devices such as smartphones and tablet terminals. The server obtains data such as purchase history and interaction information with the user's permission. This data is anonymized and protected from external leakage. The obtained data is analyzed by an analysis engine on the server, and a set of information based on the user's preferences and lifestyle is generated. Using this set of information, the server creates an individualized internal space design plan.

[0622] Visual simulation of the design is performed on the user's device using augmented reality (AR) or virtual reality (VR) technology. This allows the user to preview the appearance and atmosphere of the design in the actual physical space. Furthermore, the server takes the user's budget into consideration and proposes optimized fixtures and equipment. At this time, the server recognizes emotions through the customer's facial expressions and voice data, enabling it to dynamically adjust the design based on the user's emotions.

[0623] As a concrete example, if a retail store detects a customer's desire to relax, the server will adjust the store's lighting and suggest relaxing music. Furthermore, the generative AI model used to generate design proposals receives prompts such as, "Please provide a program that analyzes customer emotions within a commercial facility and proposes designs to improve spatial comfort." This allows for the use of machine learning algorithms to achieve more accurate design proposals.

[0624] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0625] Step 1:

[0626] The server securely retrieves purchase history and interaction information based on the user's permission. In this step, the server collects data from the user's device and stores the retrieved information in a database. The inputs are the user's permission and data, and the output is storage in the database.

[0627] Step 2:

[0628] The server analyzes user purchase history and interaction information stored in the database to generate a set of information about user preferences and lifestyles. This involves using machine learning algorithms to analyze past data patterns and create user profiles. The input is the database information, and the output is the generated user profile.

[0629] Step 3:

[0630] The server creates a personalized interior space design plan based on the generated user profile. Here, a generative AI model is used to automatically generate a design that matches the user's preferences. The input is the user profile, and the output is the interior space design plan.

[0631] Step 4:

[0632] The user's device uses augmented reality or virtual reality technology to visually simulate the created interior space design plan. This allows the user to experience a simulation of the design in their own space and to intuitively evaluate it. The input is the interior space design plan, and the output is a visual simulation display.

[0633] Step 5:

[0634] The server proposes optimized furnishings and equipment within the design plan, taking the user's budget management into consideration. This involves making the best selections within the limits of economic constraints. The inputs are budget information and the design plan, and the output is an optimized proposal list.

[0635] Step 6:

[0636] The server monitors the user's facial expressions and voice data to recognize their emotions. Based on this information, it dynamically adjusts design suggestions to provide an appropriate experience. The input is real-time user data, and the output is the adjusted design suggestions.

[0637] Step 7:

[0638] The server creates prompts for the generative AI model and sends them to improve the accuracy of design proposals. These prompts allow the use of the latest AI technologies. The input consists of the required proposal conditions, and the output is an optimized proposal from the generative AI model.

[0639] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0640] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0641] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0642] [Fourth Embodiment]

[0643] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0644] As shown in Figure 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.

[0645] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0646] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0647] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0648] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0649] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0650] The controlled 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0651] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0652] The specific processing program 56 is an example of a "program" relating to the technology of this 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 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.

[0653] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0654] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0655] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0656] To implement this invention, the user must first create an account on a dedicated application or web platform and log in. The user, considering their privacy, reviews the terms of service and grants the server permission to access necessary information. This information includes past purchase history and social information. Once the user grants permission, the server collects this information and stores it in a database in an anonymized form.

[0657] Next, the server analyzes the collected data and generates a profile that characterizes the user's preferences and lifestyle. The generated profile includes the user's preferred interior style, color tendencies, and material preferences. Based on this profile, the server generates an optimal interior design plan.

[0658] Once the interior design plan is generated, the server sends the plan to the user's terminal. Through the terminal, the user can experience a visual simulation using AR / VR technology. This allows the user to visualize and confirm in real time how the design will look in their own living space.

[0659] Furthermore, the server optimizes the furniture and fixtures used in the interior design based on the user's budget. To ensure the budget is not exceeded, the server suggests alternatives and makes adjustments to reduce costs. In this process, products made from sustainable materials are also taken into consideration.

[0660] Users can share their interior design plans with other users and receive feedback through the system's community features. The server then uses the collected feedback to suggest improvements to the design, enhancing the final plan's quality.

[0661] As a concrete example, a user might use the system for a newly purchased living room. The user provides the server with information about sofas and lighting they have previously purchased, and based on this information, the server recommends Scandinavian-style designs. The user can visually check how the design fits into their room using the AR function of their device and request adjustments as needed. Finally, the server makes the best selection within the budget, and the user makes a decision based on the results. This entire process smoothly realizes personalized interior design.

[0662] The following describes the processing flow.

[0663] Step 1:

[0664] Users log in to a dedicated application or web platform and grant permission to access their past purchase history and social information. Users review the privacy policy and provide the necessary consent.

[0665] Step 2:

[0666] The server uses access information provided by the user to securely collect purchase history and social network information. This information is anonymized and stored in a database.

[0667] Step 3:

[0668] The server analyzes the collected data and generates a profile that reflects the user's preferences and lifestyle. This profile includes preferred styles and colors, as well as tendencies in materials they want to use.

[0669] Step 4:

[0670] The server then constructs a personalized interior design plan based on the generated profile. This includes furniture and interior placement, as well as the selection of suggested products.

[0671] Step 5:

[0672] The server sends the interior design plan to the user's device. The device uses the received data to perform a visual simulation using AR / VR technology. The user can see in real time how the design will look in their own living space.

[0673] Step 6:

[0674] Users can view the visualized design through their device and make changes or requests as needed. They then send their changes to the server for final adjustments.

[0675] Step 7:

[0676] The server takes the user's budget information into consideration and optimizes the selected furniture and fixtures. It suggests alternatives to stay within budget and adjusts the plan according to the user's requirements.

[0677] Step 8:

[0678] Users can share their final design plans with a community within the system. Receiving feedback from other users helps improve and optimize the design.

[0679] (Example 1)

[0680] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0681] In recent years, there has been a growing demand for personalized design proposals that cater to the diverse preferences and lifestyles of consumers. However, achieving this presents challenges, including the difficulty of accurately understanding past consumer behavior and preferences while protecting user privacy and efficiently designing products within budget constraints. Furthermore, building a platform that allows for easy sharing of design proposals and the incorporation of feedback is a key issue.

[0682] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0683] In this invention, the server includes means for collecting and anonymizing consumption history and social information based on user permission; means for analyzing the collected information to generate a profile characterizing the user's preferences and lifestyle; and means for constructing an individualized spatial design plan based on the generated profile. This makes it possible to present individualized design proposals while protecting privacy and to realize efficient spatial design in accordance with the budget.

[0684] "Access permission" refers to the permission granted by a user when providing information to a server, allowing it to collect and analyze that information.

[0685] "Consumption history" refers to information about a user's past purchasing activities and product choices, and is used to understand the user's preferences.

[0686] "Social information" refers to information based on a user's social networks and online activities, and is used to characterize a user's lifestyle.

[0687] "Anonymization" refers to the process of transforming data so that individuals cannot be identified, and is carried out to protect user privacy.

[0688] A "profile" refers to an aggregation of information that characterizes a user's preferences and lifestyle based on collected data.

[0689] "Space design planning" refers to a plan that proposes the placement of furniture and decorations according to the user's preferences and lifestyle, and aims to optimize the resources used.

[0690] Augmented reality is a technology that overlays digital information onto the real world to provide users with a richer experience.

[0691] "Virtual reality" is a technology that immerses users in a computer-generated virtual space, providing them with experiences in an environment that is not real.

[0692] "Community function" refers to a function within the system that facilitates interaction among users and improves the accuracy of design proposals by exchanging information and opinions.

[0693] A "generative AI model" is a type of artificial intelligence technology that analyzes large amounts of data and makes optimal suggestions based on user requests and conditions.

[0694] An embodiment of the present invention consists of a user, a server, and a terminal. The user uses a dedicated application or web platform to create an account and log in. The user grants the server permission to access their consumption history and social information, while taking into consideration the protection of personal information. This information is necessary to understand the user's preferences and lifestyle.

[0695] The server anonymizes the received information and securely stores it in a database. Using a generative AI model, the server analyzes the collected data and generates a profile that reflects the user's preferences. Based on this profile, it constructs a personalized spatial design plan tailored to the user's needs.

[0696] The server sends the plan to the user's device. The user's device uses augmented reality (AR) or virtual reality (VR) technology to visually simulate the spatial design plan. This allows the user to see in real time how the design will actually be placed in their space.

[0697] Furthermore, the server takes the user's budget into consideration and optimizes the selection of structures and equipment to be used within the plan, providing cost-effective suggestions. This includes selecting products made from sustainable materials.

[0698] By utilizing the community feature, users can share their design proposals with other users and gather feedback from different perspectives. The server analyzes the collected feedback to further improve the design proposal and make the final proposal more satisfactory.

[0699] For example, when a user plans the design of a new living room, the server may use their past furniture purchase history to suggest a Scandinavian style. The user can then use AR / VR functionality to see how this design would look in their own home and request adjustments as needed. Furthermore, by providing the server with a prompt message such as "Generate recommended interior designs based on the user's purchase history," the user can receive appropriate suggestions.

[0700] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0701] Step 1:

[0702] Users access a dedicated application or web platform and create an account. After logging in, users grant the server permission to access their consumption history and social information. Inputs are the user's basic information and permission data, while outputs are permission information securely stored in the database.

[0703] Step 2:

[0704] The server collects consumption history and social information received from users and anonymizes it. The input is the user's consumption history and social information, and an anonymization algorithm is applied as data processing. The output is an anonymized dataset, which is securely stored in a database.

[0705] Step 3:

[0706] The server uses a generative AI model to analyze anonymized data and generate profiles that characterize user preferences and lifestyles. This step uses an anonymized dataset as input and performs feature extraction and profile construction as data operations. The output is a user-specific profile.

[0707] Step 4:

[0708] The server constructs an individualized spatial design plan based on the generated profile. The input is the user profile, and an optimized design plan is formulated using a generated AI model. The output is the spatial design plan, which is then sent to the user.

[0709] Step 5:

[0710] The terminal receives a spatial design plan transmitted from the server and uses augmented reality or virtual reality technology to perform a visual simulation of the design. The input is the design plan from the server, and data processing involves generating visual effects and displaying them in AR / VR. The output is the visual simulation experienced by the user.

[0711] Step 6:

[0712] The server optimizes the selection of structures and equipment to be used within the design plan, taking into account the budget set by the user. The input is the user's budget information and spatial design plan, and cost optimization is performed as a data calculation. The output is the optimal selection result within the budget, which is provided to the user.

[0713] Step 7:

[0714] Users share their design plans with other users through a community function and collect feedback. The input is the user's design proposal, and the output is feedback information from other users. The server that collects the feedback then makes suggestions for improving the design proposal.

[0715] (Application Example 1)

[0716] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0717] There is a growing need to propose optimal interior designs tailored to individual user preferences and budgets, and to provide an environment where users can visually confirm these designs. Furthermore, there is an increasing need for a system that allows users to easily evaluate proposed plans and optimize them based on their feedback. In addition, there is a demand for systems that allow users to experience products in real time through virtual stores and to provide flexible suggestions using generative AI models.

[0718] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0719] In this invention, the server includes means for collecting aggregated history and interaction information based on user access permissions, means for analyzing the aggregated information and generating user information regarding the user's preferences and lifestyle, and means for constructing a specialized interior design plan based on the generated user information. This makes it possible to propose an interior design plan that meets the individual needs of the user, to intuitively confirm its effects through visual simulation, and to make an optimized decision through improvements.

[0720] "Access permission" is the act of a user granting permission for others to collect and use their information.

[0721] "Aggregated history" refers to the collective data on a user's past purchase and usage history.

[0722] "Interaction information" refers to data about how a user communicated with other individuals.

[0723] "User information" refers to a profile that shows the results of an analysis of the user's preferences and lifestyle.

[0724] A "specialized interior design plan" is a design drawing for an interior that is customized according to the individual needs and preferences of the user.

[0725] "Visual simulation" is a technology that visualizes a designed plan using virtual space or augmented reality, allowing users to experience it.

[0726] A "virtual store" is a digital space where users can browse and experience products and services online.

[0727] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze diverse data and present optimal information to individual users.

[0728] A "prompt message" is text that facilitates dialogue and suggestions generated based on user input.

[0729] To implement this invention, users must first create an account using a smartphone or compatible device with a dedicated application installed and log in to the system. Users grant access permissions to the application, thereby consenting to the use of past aggregated history and interaction information. The server, having obtained access permissions, collects and analyzes this data and uses a generative AI model to create user information that characterizes the user's preferences and lifestyle.

[0730] Next, the server uses this user information to create a customized interior design plan. The user can use their device to visually review the plan using augmented reality or virtual reality technology and simulate how it would fit into their real living space. Furthermore, the server utilizes budget management functions to optimize the furniture and fixtures within the plan. Budget-based selections ensure that suggestions also take into account the use of sustainable materials.

[0731] Furthermore, users can share their plans with other users and experts within the virtual store and receive feedback. Based on this feedback, the server makes suggestions to improve the design plan. In this process, a generative AI model is used to generate prompt statements to support the user's decision-making.

[0732] As a concrete example, consider a user who desires a natural-style living room. This user can generate a prompt such as, "Please propose a natural design for my living room, referencing my past furniture choices. Please create a plan that can be visualized using AR, while considering sustainable materials." Based on this prompt, the server will make the best possible suggestions, and the user can visually review the results and further improve them through feedback.

[0733] Such a system allows users to easily plan and implement interior designs that meet their specific needs.

[0734] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0735] Step 1:

[0736] The server collects aggregate history and interaction information after receiving permission from the user. It uses the user's permission data as input and retrieves consumption history and communication information from the database based on this. The obtained information is then prepared for analysis.

[0737] Step 2:

[0738] The server uses a generative AI model based on the collected information to generate user information about user preferences and lifestyles. It analyzes consumption history and interaction data as input and outputs a profile that shows the user's characteristics and preferences. Features are extracted through calculations based on the data model, forming new profile information.

[0739] Step 3:

[0740] The server constructs a customized interior design plan based on the generated user information. It uses user profile information as input and combines relevant design patterns from a plan database to output a specific interior design plan. During this process, a design based on the user's preferences is selected.

[0741] Step 4:

[0742] The terminal uses augmented reality or virtual reality technology to visualize the interior design plan received from the server. Using the user's environment and interior plan as input, it generates a real-time visual mockup through the AR / VR system. The user can then evaluate the plan through the visual data.

[0743] Step 5:

[0744] The server optimizes the selection of furniture and fixtures based on the budget information set by the user. It requires the user's budget and design plan as input and outputs suggestions for appropriate alternatives. It analyzes cost and quality to present options that meet the user's needs.

[0745] Step 6:

[0746] Users share their design plans with other users within a virtual store and gather feedback. They share their design plans as input and collect responses from other users. This allows users to receive evaluations from diverse perspectives and make further improvements.

[0747] Step 7:

[0748] The server uses a generative AI model to refine the design plan based on feedback. It also generates prompts and outputs suggestions based on user preferences. Using feedback as input, it generates new design suggestions and prompts, which are then sent to the user. This process allows the user to achieve a more refined design.

[0749] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0750] This invention is an interior design support system that combines an emotion engine that recognizes user emotions. To use this system, users must first access a dedicated application or web platform and log in with their account. For privacy protection, users must review the terms of service related to access permissions and provide the necessary consent to the server. This ensures that purchase history and social information are securely provided to the server.

[0751] The server collects this permitted information and stores it in a database. Based on this data, the server analyzes the user's preferences and lifestyle and generates a user-specific profile. This profile is then used to create a personalized interior design plan.

[0752] Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice to estimate their emotions in real time. This allows the server to adjust the interior design plan while considering the user's current emotional state. For example, when the user wants to relax, it recommends calm colors and soft furniture, while when they are feeling active, it suggests colorful designs and modern furniture.

[0753] The user's device uses AR / VR technology to visually simulate the interior design, providing the user with a real-time design review experience. In this process, the user can judge their own feelings and preferences based on the visualizations displayed through the device and choose whether to accept or modify the design.

[0754] As a concrete example, imagine a user who wants to redesign their home office. The user accesses the system and requests a design that will make them feel comfortable emotionally. Based on past information and real-time emotional analysis by an emotion engine, the server constructs a design that provides a tranquil environment. The user can then see how this design fits into their actual space via AR, and the server further optimizes it within the budget to complete the proposal.

[0755] In this way, an interior design system that incorporates an emotional engine can provide users with a more personalized and emotionally sensitive design experience.

[0756] The following describes the processing flow.

[0757] Step 1:

[0758] Users log in to a dedicated application or web platform and provide the necessary consents to use the system. This includes permission to access purchase history and social information.

[0759] Step 2:

[0760] The server collects information authorized by the user, namely purchase history and social information, anonymizes it, and stores it in a database.

[0761] Step 3:

[0762] The server analyzes the collected data and generates a profile based on the user's preferences and lifestyle. This profile includes preferred interior styles, color palettes, and other similar elements.

[0763] Step 4:

[0764] The emotion engine built into the device analyzes the user's facial expressions and voice in real time to estimate their current emotional state.

[0765] Step 5:

[0766] The server combines the generated profile with the results of the emotion engine's analysis to create a personalized interior design plan tailored to the user's emotional state. For example, if the user wants to relax, it will select soft colors and relaxing furniture.

[0767] Step 6:

[0768] The server sends the interior design plan to the user's device, which then uses AR / VR technology to visually simulate the plan. This simulation allows the user to see how the chosen design would look in a real-world space.

[0769] Step 7:

[0770] Users can review visual simulations and request adjustments based on their preferences and budget. In response to user requests, the server optimizes the design and offers alternatives and cost-saving suggestions.

[0771] Step 8:

[0772] Once the final interior design plan is complete, users can share it with the community and receive feedback. The server analyzes the feedback and provides suggestions for design improvements as needed.

[0773] This series of steps makes it easy to create interior designs that take into account the user's emotional state.

[0774] (Example 2)

[0775] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0776] In modern society, interior design is expected to be customized to the individual user's lifestyle and emotions. However, current systems lack the ability to analyze user emotions in real time and reflect them in interior design, limiting their ability to provide personalized and emotionally sensitive designs. As a result, creating an environment where users can truly relax is a challenge.

[0777] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0778] In this invention, the server includes means for collecting consumption history and social information based on user access permissions; means for analyzing the collected information and generating a profile of the user's preferences and lifestyle; and means for estimating the user's emotions in real time based on emotion analysis and adjusting the interior design plan considering the results. This enables the provision of interior designs that respond to the user's individual emotions, resulting in an emotionally sensitive design experience.

[0779] "Access permission" refers to the consent or authorization necessary for a user to provide information.

[0780] "Consumption history" refers to a record of products that a user has purchased so far.

[0781] "Social information" refers to information related to a user's personal activities and interests that they share on social media and other platforms.

[0782] A "profile" is a collection of individual information created based on data about a user's preferences and lifestyle.

[0783] An "interior design plan" refers to the design and layout planned to decorate the user's living space.

[0784] Augmented reality technology is a technology that overlays digital information onto the real world environment.

[0785] "Virtual reality technology" is a technology that allows users to experience computer-generated environments as if they were real.

[0786] "Visual simulation" is a technique that visually represents a proposed design and presents that image to the user.

[0787] "Budget management" is the process of optimally allocating the economic resources necessary to implement a planned design.

[0788] "Emotion analysis" is the process of estimating a user's emotional state at a given time based on their facial expressions, voice, and other factors.

[0789] This interior design support system is realized through the integrated functioning of users, servers, and terminals.

[0790] First, users need to log in to their account through a dedicated application or web platform. After logging in, users review the privacy policy and terms of service and grant the server the necessary permissions to provide information. Based on these permissions, the server collects the user's consumption history and social information, anonymizes this data, and stores it in a database.

[0791] The server utilizes the collected information to generate a profile of the user's preferences and lifestyle. This profile is generated by a computer algorithm, and based on the analysis, a personalized interior design plan is constructed.

[0792] Furthermore, the device is equipped with an emotion engine that estimates the user's emotions in real time by analyzing their facial expressions and voice. This emotion analysis data is used by the server to adjust the interior design plan. For example, if the user wants to relax, calm colors and soft furniture will be suggested.

[0793] The device also uses augmented reality (AR) and virtual reality (VR) technologies to visually simulate and present the generated interior design plan to the user. This allows the user to see how the design fits into the real space through the device. The user can then use the visualized information to decide whether to accept the proposed design or make adjustments as needed.

[0794] As a concrete example, suppose a user wants to change the interior of their home office and desires a relaxing design. Based on collected data and real-time sentiment analysis, the server constructs a design that provides a tranquil environment. Finally, the server proposes the most suitable and optimized solution within the user's budget.

[0795] Furthermore, examples of prompts for the generating AI model include text such as, "Please suggest a design that will allow the user to relax in their home office. Please consider using calming colors, soft furniture, and optimizing within budget." This prompt provides the information that the system uses to generate an interior design that suits the user.

[0796] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0797] Step 1:

[0798] The user accesses a dedicated application or web platform and logs into their account. The input is the user's login information, and the output is the access permission granted after authentication. After logging in, the user reviews the terms of service and grants the necessary access permissions to provide information. Specific actions include clicking an agreement button on the screen.

[0799] Step 2:

[0800] After obtaining permission from the user, the server collects consumption history and social information and stores it in a database. The input is the user's authorized personal data, and the output is organized, anonymized data. The server uses protocols to retrieve information and applies algorithms to anonymize the data. Specific operations include filtering and encrypting the user's purchase history.

[0801] Step 3:

[0802] The server analyzes the collected data and generates user profiles related to preferences and lifestyles. The input is anonymized customer information, and the output is a user profile. The server performs data analysis using a generative AI model and creates profiles using algorithms. Specifically, data clustering and pattern recognition are performed.

[0803] Step 4:

[0804] The device's built-in emotion engine analyzes the user's facial expressions and voice in real time to estimate their emotions. The input is the user's visual and audio signals, and the output is the result of the emotional state assessment. The device uses a camera and microphone, along with machine learning algorithms, to analyze emotions. Specific operations include facial expression analysis and voice tone analysis.

[0805] Step 5:

[0806] The server adjusts the interior design plan based on the sentiment analysis results. The input is the user's sentiment data and existing profile, and the output is a customized design proposal. The server optimizes the design using a recommendation algorithm. Specific actions include changing color selections and adjusting furniture styles.

[0807] Step 6:

[0808] The device uses augmented reality or virtual reality technology to provide the user with a visual simulation of the proposed interior design. The input is customized design data, and the output is a real-time visual representation using AR / VR. The device generates visual information using a headset or display. Specifically, it performs the construction of a virtual space and real-time rendering.

[0809] (Application Example 2)

[0810] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0811] In modern commercial facilities, there is a growing need to flexibly adjust store spaces in response to customer emotions and circumstances, but current design processes make it difficult to achieve this immediately. Furthermore, there is a lack of a smooth system that can accurately grasp customer emotions and reflect them in the design in real time. Therefore, there is a demand for an effective design adjustment system that can optimize the customer experience.

[0812] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0813] In this invention, the server includes means for acquiring purchase history and interaction information based on user permission; means for analyzing the acquired information to generate a set of information regarding the user's preferences and lifestyle; means for creating an individualized interior space design plan based on the generated set of information; means for providing a visual simulation of the interior space design plan using augmented reality or virtual reality technology; means for optimizing the proposal of fixtures and equipment within the plan based on budget management; and means for recognizing customer emotions and dynamically adjusting design proposals based on those emotions. This enables improved customer experience and immediate design adjustments in commercial facilities.

[0814] A "user" is an individual or group that uses a specific function or service.

[0815] "Permission" is formal consent given by the user to allow the system to acquire and analyze information.

[0816] "Purchase history" refers to a record of products and services that a user has purchased in the past.

[0817] "Interaction information" refers to data related to communication and social interaction between users and others.

[0818] An "information cluster" is a collection of information gathered and linked from various data sources.

[0819] An "interior space design plan" is a design proposal for the interior and layout of a specific physical space.

[0820] Augmented reality technology is a technology that overlays digital information onto real-world scenery.

[0821] "Virtual reality technology" is a technology that allows users to experience a completely computer-generated environment.

[0822] "Visual simulation" is the process of visually simulating what an actual product or design will look like.

[0823] "Budget management" is the process of understanding the costs involved in a plan and allocating them appropriately.

[0824] "Equipment" refers to objects or tools used for a specific purpose.

[0825] An "device" is a machine or system configured to perform a specific function.

[0826] "Emotions" are psychological characteristics that describe an individual's inner state or reaction.

[0827] "Design proposal" refers to a design plan or recommendation proposed for a specific purpose or requirement.

[0828] The system implementing this invention is built around a server, and users access it through devices such as smartphones and tablet terminals. The server obtains data such as purchase history and interaction information with the user's permission. This data is anonymized and protected from external leakage. The obtained data is analyzed by an analysis engine on the server, and a set of information based on the user's preferences and lifestyle is generated. Using this set of information, the server creates an individualized internal space design plan.

[0829] Visual simulation of the design is performed on the user's device using augmented reality (AR) or virtual reality (VR) technology. This allows the user to preview the appearance and atmosphere of the design in the actual physical space. Furthermore, the server takes the user's budget into consideration and proposes optimized fixtures and equipment. At this time, the server recognizes emotions through the customer's facial expressions and voice data, enabling it to dynamically adjust the design based on the user's emotions.

[0830] As a concrete example, if a retail store detects a customer's desire to relax, the server will adjust the store's lighting and suggest relaxing music. Furthermore, the generative AI model used to generate design proposals receives prompts such as, "Please provide a program that analyzes customer emotions within a commercial facility and proposes designs to improve spatial comfort." This allows for the use of machine learning algorithms to achieve more accurate design proposals.

[0831] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0832] Step 1:

[0833] The server securely retrieves purchase history and interaction information based on the user's permission. In this step, the server collects data from the user's device and stores the retrieved information in a database. The inputs are the user's permission and data, and the output is storage in the database.

[0834] Step 2:

[0835] The server analyzes user purchase history and interaction information stored in the database to generate a set of information about user preferences and lifestyles. This involves using machine learning algorithms to analyze past data patterns and create user profiles. The input is the database information, and the output is the generated user profile.

[0836] Step 3:

[0837] The server creates a personalized interior space design plan based on the generated user profile. Here, a generative AI model is used to automatically generate a design that matches the user's preferences. The input is the user profile, and the output is the interior space design plan.

[0838] Step 4:

[0839] The user's device uses augmented reality or virtual reality technology to visually simulate the created interior space design plan. This allows the user to experience a simulation of the design in their own space and to intuitively evaluate it. The input is the interior space design plan, and the output is a visual simulation display.

[0840] Step 5:

[0841] The server proposes optimized furnishings and equipment within the design plan, taking the user's budget management into consideration. This involves making the best selections within the limits of economic constraints. The inputs are budget information and the design plan, and the output is an optimized proposal list.

[0842] Step 6:

[0843] The server monitors the user's facial expressions and voice data to recognize their emotions. Based on this information, it dynamically adjusts design suggestions to provide an appropriate experience. The input is real-time user data, and the output is the adjusted design suggestions.

[0844] Step 7:

[0845] The server creates prompts for the generative AI model and sends them to improve the accuracy of design proposals. These prompts allow the use of the latest AI technologies. The input consists of the required proposal conditions, and the output is an optimized proposal from the generative AI model.

[0846] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0847] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0848] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0849] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0850] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0851] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0852] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0853] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0854] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0855] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0856] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0857] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0858] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0859] 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.

[0860] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0861] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0862] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0863] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0864] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0865] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0866] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0867] The following is further disclosed regarding the embodiments described above.

[0868] (Claim 1)

[0869] Means for collecting consumption history and social information based on user permission,

[0870] A means for analyzing the collected information and generating a profile of the user's preferences and lifestyle,

[0871] A means for constructing an individualized interior design plan based on the generated profile,

[0872] A means for providing a visual simulation of the interior design plan using augmented reality or virtual reality technology,

[0873] A means to optimize the proposal of furniture and fixtures within the plan based on budget management,

[0874] A system that includes this.

[0875] (Claim 2)

[0876] The system according to claim 1, characterized in that the aforementioned consumption history and social information are anonymized.

[0877] (Claim 3)

[0878] The system according to claim 1, further comprising means for collecting feedback from the community on the generated interior design plan and improving the design plan based on the feedback.

[0879] "Example 1"

[0880] (Claim 1)

[0881] A means of collecting and anonymizing consumption history and social information based on user permission,

[0882] A means for analyzing the collected information to generate a profile that characterizes the user's preferences and lifestyle,

[0883] A means for constructing an individualized spatial design plan based on the generated profile,

[0884] A means for providing a visual simulation of the spatial design plan using augmented reality or virtual reality technology,

[0885] Based on budget allocation, a means to optimize the selection of structures and equipment within the plan and adjust costs,

[0886] A means of sharing design proposals through community functions and improving them based on collected opinions,

[0887] A system that includes this.

[0888] (Claim 2)

[0889] The system according to claim 1, characterized in that the aforementioned consumption history and social information are anonymized.

[0890] (Claim 3)

[0891] The system according to claim 1, further comprising means for generating suggestions that address user needs using a generative AI model in the process of utilizing augmented reality or virtual reality technology.

[0892] "Application Example 1"

[0893] (Claim 1)

[0894] A means for collecting aggregated history and interaction information based on user access permissions,

[0895] A means for analyzing the collected information and generating user information regarding user preferences and lifestyle habits,

[0896] A means for constructing a specialized interior design plan based on the user information generated above,

[0897] A means for providing a visual simulation of the interior design plan using augmented reality or virtual reality technology,

[0898] A means of optimizing the furniture and fixture suggestions within the plan based on budget management,

[0899] A means for collecting feedback from the community and improving the design plan based on said feedback,

[0900] A means of visualizing product suggestions through a virtual store and allowing users to simulate their selections,

[0901] A system that includes this.

[0902] (Claim 2)

[0903] The system according to claim 1, characterized in that the aggregated history and interaction information are anonymized.

[0904] (Claim 3)

[0905] The system according to claim 1, further comprising means for providing product information based on a generated AI model and generating prompt sentences in response to user input while the design plan is being visualized in the virtual store.

[0906] "Example 2 of combining an emotion engine"

[0907] (Claim 1)

[0908] Means for collecting consumption history and social information based on user permission,

[0909] A means for analyzing the collected information and generating a profile of the user's preferences and lifestyle,

[0910] A means for constructing an individualized interior design plan based on the generated profile,

[0911] A means for providing a visual simulation of the interior design plan using augmented reality or virtual reality technology,

[0912] A means to optimize the proposal of furniture and fixtures within the plan based on budget management,

[0913] A means for estimating user emotions in real time based on emotion analysis and adjusting the interior design plan considering the results,

[0914] A system that includes this.

[0915] (Claim 2)

[0916] The system according to claim 1, characterized in that the aforementioned consumption history and social information are anonymized.

[0917] (Claim 3)

[0918] The system according to claim 1, further comprising means for collecting feedback from the community on the generated interior design plan and improving the design plan based on the feedback.

[0919] "Application example 2 when combining with an emotional engine"

[0920] (Claim 1)

[0921] A means of obtaining purchase history and interaction information based on user permission,

[0922] A means for analyzing the acquired information to generate a set of information regarding the user's preferences and lifestyle,

[0923] A means for creating an individualized interior space design plan based on the generated information set,

[0924] Means for providing a visual simulation of the interior space design plan using augmented reality or virtual reality technology,

[0925] A means to optimize the proposal of equipment and devices within the plan based on budget management,

[0926] A means for recognizing customer emotions and dynamically adjusting design proposals based on those emotions,

[0927] A system that includes this.

[0928] (Claim 2)

[0929] The system according to claim 1, characterized in that the purchase history and interaction information are anonymized.

[0930] (Claim 3)

[0931] The system according to claim 1, further comprising means for obtaining feedback from the community on the generated internal space design plan and improving the design plan based on said feedback. [Explanation of symbols]

[0932] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Means for collecting consumption history and social information based on user permission, A means for analyzing the collected information and generating a profile of the user's preferences and lifestyle, A means for constructing an individualized interior design plan based on the generated profile, A means for providing a visual simulation of the interior design plan using augmented reality or virtual reality technology, A means to optimize the proposal of furniture and fixtures within the plan based on budget management, A system that includes this.

2. The system according to claim 1, characterized in that the aforementioned consumption history and social information are anonymized.

3. The system according to claim 1, further comprising means for collecting feedback from the community on the generated interior design plan and improving the design plan based on the feedback.

Images