System

Abstract

To provide a system which offers an experience to enjoy a restaurant even to a senior who cannot easily go out.SOLUTION: A system includes means for: executing a program for providing a user with an experience in a restaurant within a virtual reality space; providing the user with services by allowing a generative AI to play a role of a sommelier or a waiter within the virtual reality space; recommending a menu by the generative AI considering the user's taste for a meal and health state; generating, by the generative AI, responses to questions asked by the user to the generative AI within the virtual reality space on the basis of the questions; providing the user with meal information, advice, and the generated response by the generative AI after acquiring information pertaining to the menu recommended from a meal database; and processing arrangement of delivery of the menu in collaboration with delivery services.SELECTED DRAWING: Figure 5

Description

[Technical field]

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

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

[0003] [Patent Document 1] JP 2022-180282 A Summary of the Invention [Problem to be solved by the invention]

[0004] Traditional restaurant experiences for seniors can be difficult for those who have difficulty going out or have physical limitations, and there are limited opportunities to receive meal assistance and advice. [Means for solving the problem]

[0005] The present invention provides a system for providing a restaurant experience in a virtual reality space, thereby enabling even seniors who find it difficult to go out to enjoy a restaurant experience. Specifically, the following means are adopted.

[0006] 1. A means for generating a program for providing a restaurant experience in a virtual reality space.

[0007] 2. A means of making seniors smile by utilizing generative AI that acts as a sommelier or waiter and speaks to them in a cheerful manner.

[0008] 3. A means for generative AI to obtain information from a food database and provide seniors with food information such as producer information, nutritional balance, food combinations, and meal times.

[0009] 4. A means for generative AI to provide advice on eating order, eating posture, eating speed, etc. to assist and practice eating for seniors.

[0010] 5. A means of coordinating with a delivery service to place an actual delivery order, with the server arranging the order details and delivery address.

[0011] Through the above measures, even seniors who have difficulty going out can enjoy a restaurant experience within a virtual reality space and also be provided with the opportunity to receive assistance and advice with meals.

[0012] A "program" refers to a set of instructions or procedures executed on a computer to achieve a specific purpose, and a "program for providing a restaurant experience in a virtual reality space" refers to instructions or procedures generated to realize a restaurant experience in a virtual reality space.

[0013] "Generative AI" refers to a conversational artificial intelligence agent that uses natural language processing technology, while "generative AI acting as a sommelier or waiter" refers to a generative AI that plays a role in providing dialogue and advice to seniors within a virtual reality space.

[0014] A "meal database" is a database for storing and managing information about ingredients and dishes, and "obtaining information from the meal database" refers to extracting and using information about meals from the database.

[0015] A "delivery service" refers to a service for delivering ordered products or meals, and "collaborating with a delivery service" refers to sharing information and arrangements with the delivery service and actually making the delivery.

[0016] In this invention, after a senior enjoys a meal in a virtual reality space, the server can easily place an order for delivery. The server works with a delivery service to arrange the senior's order, so that the senior can receive the actual food after enjoying the restaurant experience at home. [Brief description of the drawings]

[0017] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Diagram 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. FIG. [Diagram 3] FIG. 11 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Diagram 5] FIG. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 13 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11]4 is a sequence diagram showing a process flow of the data processing system according to the first embodiment. FIG. [Figure 12] 11 is a sequence diagram showing a process flow of the data processing system in application example 1. FIG. [Figure 13] FIG. 11 is a sequence diagram showing the flow of processing of the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 11 is a sequence diagram showing the flow of processing in the data processing system in application example 2 when combined with an emotion engine. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0018] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, a signed processor (hereinafter simply referred to as a "processor") may be one arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be one type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc.

[0021] In the following embodiments, a signed RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by the processor.

[0022] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0023] In the following embodiments, a communication I / F (Interface) with a code is an interface including a communication processor and an antenna. The communication I / F controls communication between multiple computers. An example of a communication standard applied to the communication I / F is a wireless communication standard including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. In addition, in this specification, the same idea as "A and / or B" is also applied when three or more things are expressed by connecting them with "and / or."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN).

[0029] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0030] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (e.g., a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] 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 of expression that the user 20 can perceive (e.g., voice 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 voice according to instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a Complementary Metal-Oxide-Semiconductor (CMOS) image sensor or a Charge Coupled Device (CCD) image sensor.

[0032] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54.

[0033] FIG. 2 shows an example of main functions of the data processing device 12 and the smart device 14.

[0034] As shown in Fig. 2, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32. The specific process program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific process program 56 from the storage 32, and executes the read specific process program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific process program 56 executed on the RAM 30.

[0035] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores a reception output program 60. The reception output program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads out 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 the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0037] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0038] The embodiment for implementing the present invention comprises the following elements: 1. Server: Generates a program for providing a restaurant experience in a virtual reality space.

[0039] The server receives user input and generates a program to realize a restaurant experience in a virtual reality space. The program includes the behavior of the generative AI and information from the food database.

[0040] 2. Terminal: Provides a restaurant experience in a virtual reality space.

[0041] The device analyzes the program received from the server, extracts the necessary data and instructions, and activates the generative AI to act as a sommelier or waiter in the virtual reality space.

[0042] 3. Generative AI: Providing dietary information and advice to seniors.

[0043] The generative AI retrieves information from the food database and provides seniors with information about food, such as producer information, nutritional balance, food combinations, and meal times. It also provides meal assistance and

[0044] To help users practice, the system provides advice on the order in which to eat, how to eat, and how quickly to eat. For example, when a user eats at a restaurant in a virtual reality space, the user asks the generative AI, "What's on the menu?" The generative AI retrieves information from a food database and suggests the best menu for the user. For example, the generative AI might reply, "Today's recommendation is seafood pasta made with fresh seafood. It's well-balanced and delicious." The generative AI also provides advice when the user is eating. For example, the generative AI might instruct, "Before you eat, first prepare your chopsticks in the correct position. Then, eat a little at a time. It's important to eat slowly and savor the flavor."

[0045] 4. Collaboration with delivery services: Place an order for actual delivery.

[0046] The server processes the order information received from the generative AI and connects with the delivery service, arranging the order details and delivery destination, and carrying out the actual delivery.

[0047] In this way, the server generates a program, the device receives the program, and a restaurant experience is provided in a virtual reality space. The generative AI provides meal information and advice to seniors, and can actually deliver the food by linking with a delivery service. This allows seniors who have difficulty going out to enjoy a restaurant experience.

[0048] The process flow will be explained below.

[0049] Step 1: The server generates the program.

[0050] The server receives input from the user and generates a program to realize a restaurant experience in a virtual reality space.

[0051] The server retrieves and programs information from the appropriate meal database based on the user's requests and selections.

[0052] Step 2: The server sends the program to the terminal.

[0053] The server transmits the generated program to the terminal.

[0054] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0055] Step 3: The device launches the generative AI.

[0056] The terminal launches the generative AI included in the program.

[0057] The generative AI acts as a sommelier or waiter within a virtual reality space.

[0058] Step 4: The user begins the restaurant experience in the virtual reality space.

[0059] The user uses the terminal to enter the virtual reality space and begin the restaurant experience.

[0060] The generative AI speaks to the user in a cheerful manner, providing information and advice on diet.

[0061] Step 5: The user orders a meal.

[0062] Users order food from a generative AI within a virtual reality space.

[0063] The generative AI receives the order information and sends it to the server.

[0064] Step 6: The server coordinates with the delivery service.

[0065] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0066] The server communicates the order details and delivery address to the delivery service and arranges for the actual delivery.

[0067] Through the above process steps, the server generates a program and sends it to the terminal. The terminal analyzes the program and activates the generative AI to provide a restaurant experience in a virtual reality space.

[0068] Users order food through the generative AI, and the server coordinates with the delivery service to arrange for the actual delivery, allowing users to not only enjoy a restaurant experience in a virtual reality space, but also receive actual food delivered to them. Example 1

[0069] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the smart device 14 is referred to as a "terminal."

[0070] Conventional restaurant experiences in virtual reality spaces were limited to visual and auditory experiences, making it difficult to accompany actual meals. In addition, there was a need for a system that could provide nutritional information and advice on how to eat meals, especially for seniors. Furthermore, it was not possible to link actual delivery orders with the virtual reality experience, resulting in low user convenience.

[0071] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0072] In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to act as a sommelier or a waiter in the virtual reality space, a means for the generative AI to obtain information from a food database and provide food information and advice to a user, a means for a user to ask a question to the generative AI in the virtual reality space and for the generative AI to generate an answer based on the question, and a means for arranging actual delivery in cooperation with a delivery service. This allows a user to enjoy a restaurant experience in the virtual reality space while having an actual meal delivered, and allows seniors in particular to receive information and advice about meals.

[0073] "Virtual reality space" refers to a digital three-dimensional space that appears real and is created by a computer.

[0074] A "restaurant experience" refers to a user entering a virtual restaurant in a virtual reality space and enjoying food and services.

[0075] "Means for generating a program" refers to a technology for automatically creating a program including necessary information and functions based on user input and requests.

[0076] "Generative AI" refers to a system that uses artificial intelligence technology to interact with users, provide them with information, and give them advice.

[0077] "Means of acting as a sommelier or waiter" refers to the function of a generative AI to act as a sommelier or waiter within a virtual reality space and provide service to the user.

[0078] A "meal database" refers to a database that stores information about various meals.

[0079] "Means of providing information and advice" refers to the function of the generative AI to provide the user with information and advice regarding food based on the information it obtains from the food database.

[0080] "A means of asking a question and having a generative AI generate an answer based on that question" refers to the function in which a user asks a question to a generative AI and it generates an appropriate answer to that question.

[0081] "Delivery service" means a service that delivers food and beverages to a specified location based on an order.

[0082] "Means of processing delivery arrangements" refers to the function that performs processing to place an actual delivery order based on the order information received by the generative AI.

[0083] The embodiment for carrying out the present invention comprises the following elements: Specific hardware and software settings and operations will be described below.

[0084] server

[0085] The server is responsible for generating programs to provide a restaurant experience in a virtual reality space. The server uses a physical server or a cloud server (e.g., an EC2 instance of Amazon Web Services (registered trademark)) equipped with a high-performance CPU and GPU. The server software executes a web application or an API built with Python (registered trademark) or Java (registered trademark). The server receives user input and generates multiple programs for the virtual reality space based on the input.

[0086] Terminal

[0087] The terminal has the role of providing a restaurant experience in a virtual reality space. The terminal uses a VR device (e.g., Oculus Quest (registered trademark)) or a high-performance PC. The terminal analyzes the program received from the server and extracts the necessary data and instructions. The terminal uses a game engine such as Unity (registered trademark) or Unreal Engine (registered trademark) to render the virtual reality space, providing the user with a restaurant experience close to reality.

[0088] Generative AI

[0089] The generative AI has the role of providing dietary information and advice to users. The generative AI acquires information from a dietary database (for example, MySQL (registered trademark) or MongoDB (registered trademark)) and provides users with information such as producer information, nutritional balance, and meal times. Natural language processing models such as ChatGPT (registered trademark) are used for the generative AI. The generative AI generates appropriate answers to users' questions.

[0090] Collaboration with delivery services

[0091] The server processes the order information received from the generative AI and connects with delivery services (e.g. Uber Eats and Demae-can). The server transfers the order details and delivery address information to the delivery service and arranges for the actual delivery. This allows the meal experienced in the virtual reality space to be delivered to the user.

[0092] Examples

[0093] The user puts on a VR headset and enters a restaurant in a virtual reality space. The device executes the program received from the server, and the generative AI appears as a virtual waiter.

[0094] For example, if a user asks the generative AI, "What is your recommended menu item?", the generative AI will retrieve information from the food database and respond, "Today's recommendation is seafood pasta made with fresh seafood." Next, if the user says, "I'd like to order seafood pasta," the generative AI will forward the order to the server, which will then send the order to the delivery service.

[0095] Examples of prompt statements

[0096] "What's on the menu?"

[0097] Could you please tell me about the nutritional content of this menu?

[0098] "What's the best way to eat it?"

[0099] This invention allows users to enjoy a restaurant experience in a virtual reality space while having real food delivered to them. In addition, generative AI can provide useful information and advice on meals, especially for seniors.

[0100] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0101] Step 1:

[0102] A user accesses the system

[0103] Input: Internet connected device, system URL

[0104] Specific operation: A user accesses the system by opening a browser and entering the system's URL.

[0105] Output: User access request

[0106] Step 2:

[0107] The server receives the user's input

[0108] Input: User's access request, login information (ID, password)

[0109] Specific operation: The server receives a user's access request and authenticates the login information against a database, for example, by referencing an authentication database using PostgreSQL (registered trademark).

[0110] Output: User authentication result, user profile data

[0111] Step 3:

[0112] The server generates the program for the virtual reality space.

[0113] Input: User profile data, authentication results

[0114] Specific operation: The server generates multiple programs for the virtual reality space based on the profile data. The programs include interface data, environmental data, food data, and generative AI operation scripts. The server uses applications built with Python (registered trademark) and Java (registered trademark).

[0115] Output: The generated program

[0116] Step 4:

[0117] The terminal receives and analyzes the program

[0118] Input: The generated program

[0119] Specific operation: The terminal analyzes the program received from the server and extracts the necessary data and instructions. It uses JavaScript (registered trademark) or Python (registered trademark) scripts to analyze portable code files (e.g. JSON).

[0120] Output: Extracted data (interface information, environment data, generative AI scripts)

[0121] Step 5:

[0122] The device renders the virtual reality space

[0123] Input: Extracted data

[0124] Specific operation: The device renders a virtual reality space using Unity (registered trademark) or Unreal Engine (registered trademark). A VR device (e.g., Oculus Quest (registered trademark)) is used to provide the user with a realistic restaurant experience.

[0125] Output: The virtual reality space displayed to the user.

[0126] Step 6:

[0127] Generative AI begins to work

[0128] Input: Virtual reality interface information, environment data, behavior scripts

[0129] Specific operation: The generative AI connects to a food database (such as MySQL or MongoDB®) and starts working as a sommelier or waiter in the virtual reality space. For example, it queries the database via an API using a Python® script.

[0130] Output: Greeting message to the user, service start

[0131] Step 7:

[0132] The user asks the generative AI a question

[0133] Input: A voice or text question (e.g., "What's on the menu?")

[0134] Specific operation: The user asks a question to the generative AI in the virtual reality space. If there is voice input, it is converted to text via voice recognition software (e.g., Google (registered trademark) Speech-to-Text).

[0135] Output: Question data for generative AI

[0136] Step 8:

[0137] Generative AI retrieves information from a food database and responds

[0138] Input: User question data, food database

[0139] Specific operation: The generative AI analyzes the question data and retrieves relevant information from the food database. For example, it executes an SQL query to retrieve the required information. Based on the retrieved information, it generates an answer using a natural language processing model such as ChatGPT.

[0140] Output: Answer to the user

[0141] Step 9:

[0142] User places an order

[0143] Input: Generative AI answer (e.g. "Today's recommendation is seafood pasta")

[0144] Specific operation: The user decides on a menu and tells the generative AI, "I'll order seafood pasta." If there is voice input, it is converted to text via voice recognition software.

[0145] Output: Order data

[0146] Step 10:

[0147] The server forwards the order information to the delivery service.

[0148] Input: Order data from generative AI

[0149] Specific operation: The server processes the order data received from the generative AI and forwards it to the delivery service. For example, it sends the order information to the delivery service API using an HTTP request.

[0150] Output: An order request to a delivery service

[0151] Step 11:

[0152] A delivery service delivers the order

[0153] Input: Order request from server, delivery address information

[0154] What it does: The delivery service verifies the order, prepares the food, and delivers it to the specified address, including a system for tracking the delivery.

[0155] Output: Delivery completion notification to the user (Application example 1)

[0156] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0157] In conventional systems, it was difficult for seniors and others who have difficulty going out to enjoy a high-quality restaurant experience in a virtual reality space. In addition, the lack of seamless integration between the experience in the virtual reality space and the actual food delivery service made it impossible to improve the user experience. Another issue was the lack of technology to provide visual information in the virtual reality space using smart glasses and recommend menus based on individual health conditions and food preferences.

[0158] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0159] In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to operate as a restaurant staff member in the virtual reality space, a means for the generative AI to obtain information from a food database and provide food information and advice to a user, a means for arranging delivery in the real world by linking with a delivery service, a means for visually providing information in the virtual reality space using smart glasses, and a means for the generative AI to recommend a menu that takes into account the user's food preferences and health condition. This allows a user to enjoy a high-quality restaurant experience in a virtual reality space while at home, and a seamless experience in which the food ordered on the spot is delivered in the real world. Furthermore, visual information is provided through the smart glasses, and menu recommendations based on individual health conditions and food preferences can be received.

[0160] "Virtual reality space" refers to an imaginary three-dimensional space that humans can experience using computer graphics and sensor technology.

[0161] A "restaurant experience" refers to the series of actions and services involved in ordering food in a restaurant and eating the food that is served to you.

[0162] "Generative AI" is a type of artificial intelligence that refers to systems equipped with algorithms that generate appropriate information or advice based on specific input.

[0163] "Meal database" refers to a collection of data comprising food types, nutritional content, calories and other meal-related information.

[0164] "User" refers to an individual who uses this system to experience restaurants in a virtual reality space.

[0165] "Delivery service" refers to a service that delivers ordered meals to a specified location.

[0166] "Smart glasses" refers to a wearable device that has a built-in display and provides users with a combination of real-world and virtual information.

[0167] "Program" refers to a collection of instructions for performing a specific task or purpose, and refers to software necessary for the system to operate within the virtual reality space.

[0168] "Staff" refers to the people or systems that provide services in restaurants, such as sommeliers and waiters.

[0169] "Health status" refers to an individual's current physical condition and medical situation, and is a concept that includes factors that affect food preferences and nutritional balance.

[0170] "Menu recommendation" refers to the act of suggesting the most suitable dish taking into consideration the user's preferences and health condition.

[0171] "Visual information" refers to information such as images and videos that are provided to a user through a display or projection.

[0172] "Delivery arrangements" refers to the procedures for delivering food ordered by a restaurant or the system to a specified location.

[0173] The system and program for implementing the present invention are comprised of the following components.

[0174] 1. Server:

[0175] A program that provides a restaurant experience in a virtual reality space is generated. Specifically, the server receives user input and generates code for constructing a simulation in the virtual reality space. This program includes elements that the user can visually operate in the virtual reality space, menu display, and staff movement simulation.

[0176] The server also manages a food database and provides the data used by the generative AI, including information on food types, nutritional content, calories, etc.

[0177] 2. Terminal (smart glasses):

[0178] Users can wear smart glasses (e.g., Oculus Quest (registered trademark), HoloLens (registered trademark)) and enter the virtual reality space. The terminal analyzes the program received from the server and supports operations within the virtual reality space. This allows users to visually enjoy the experience of being in a virtual restaurant.

[0179] 3. Generative AI:

[0180] The generative AI retrieves information from the food database and provides users with appropriate menu recommendations, dietary information, and advice. For example, if a user asks, "What's on the menu?" the generative AI responds, "Today's recommendation is seafood pasta. It's well-balanced and delicious."

[0181] In addition, generative AI will provide personalized menu recommendations based on the user's health status and food preferences, allowing them to choose the meals that are best suited to them.

[0182] 4. Collaboration with delivery services:

[0183] The server processes the order information received from the generative AI and coordinates with the delivery service to arrange for delivery in the real world, allowing the user to receive the menu item selected in the virtual reality space at their home.

[0184] 5. Example prompt:

[0185] Examples of prompts for generative AI such as ChatGPT (registered trademark) include the following:

[0186] Consider the user's dietary preferences and health condition and recommend a balanced dinner menu. The user likes seafood and wants low calories and high nutritional value.

[0187] As a concrete example, if a 60-year-old person A puts on smart glasses and enters the virtual space and asks the generative AI, "What is a healthy dinner you recommend?", the AI ​​will answer, "Today's recommendation is seafood pasta." Person A selects this menu, and an order is sent to a delivery service via the server, and the seafood pasta is delivered to person A's home.

[0188] The system allows customers to enjoy a high-quality virtual reality restaurant experience from the comfort of their own home, with food ordered on the spot and delivered seamlessly to the real world, while providing visual information through smart glasses and menu recommendations based on individual health conditions and dietary preferences.

[0189] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0190] Step 1:

[0191] A user puts on the smart glasses and logs into a restaurant in the virtual reality space. The server receives the user's login information and executes a program to start the experience in the virtual reality space. The input is the user's login information, and the output is a restaurant simulation in the virtual reality space.

[0192] Step 2:

[0193] The server displays the menu in the virtual reality space and allows the user to browse the menu. The user visually receives the menu information through the smart glasses. The input is the menu data on the server side, and the output is the visual menu screen on the user side.

[0194] Step 3:

[0195] The user asks the generative AI a question about food. For example, "What is your recommended menu item?" The device converts the user's voice input into text data. The input is the user's voice information, and the output is text data.

[0196] Step 4:

[0197] Generative AI queries a food database and recommends the best menu to the user. The AI ​​processes the data based on the user's health condition and preferences to extract the best menu. The input is the user's health condition and preference data, and the output is a recommended menu. For example, it makes a suggestion such as, "Today's recommendation is seafood pasta."

[0198] Step 5:

[0199] The user receives menu recommendations from the generative AI and makes a selection. The selected menu is sent to the server. The input is the AI's recommended menu, and the output is the user's selection information.

[0200] Step 6:

[0201] The server generates a delivery service order based on the user's selection information. The generated order information is sent to the delivery service. The input is the menu information selected by the user, and the output is the order information for the delivery service.

[0202] Step 7:

[0203] The delivery service delivers meals to users' homes based on order information received from the server. The input is the delivery order information, and the output is the meal delivery in the real world.

[0204] Step 8:

[0205] The server and the terminal work together to end the experience in the virtual reality space. The user ends the restaurant experience and removes the smart glasses. The input is the user's operation information, and the output is the ending screen in the virtual reality space.

[0206] Furthermore, an emotion engine that estimates the emotion of the user may be combined. That is, the identification processing unit 290 may estimate the emotion of the user using the emotion identification model 59, and perform identification processing using the emotion of the user.

[0207] The embodiment for carrying out the present invention comprises the following elements.

[0208] 1. Server: Generates programs to provide a restaurant experience in a virtual reality space.

[0209] The server receives the user's input and generates a program for realizing a restaurant experience in the virtual reality space.

[0210] The program includes the ability to recognize the user's emotions through a combination of emotion engines.

[0211] 2. Terminal: Provides a restaurant experience in a virtual reality space.

[0212] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0213] The emotion engine included in the program is activated to estimate the user's emotions.

[0214] 3. Generative AI: Providing dietary information and advice to seniors.

[0215] The generative AI receives information from the emotion engine and provides dialogue and support tailored to the user's emotions.

[0216] Programmatically, the generative AI will use the results of the emotion engine to provide more personalized dietary suggestions and advice.

[0217] 4. Collaboration with delivery services: Place an order for actual delivery.

[0218] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0219] The program performs ordering procedures with the delivery service while taking into consideration the user's emotional information based on a combination of emotion engines.

[0220] In this way, the server generates the program, and the device analyzes the program to provide a restaurant experience in a virtual reality space. By combining it with an emotion engine, the generative AI can recognize the user's emotions and provide dialogue and meal suggestions that match those emotions. By linking with a delivery service, actual delivery can also be realized. This allows users to receive a restaurant experience that matches their emotions and personalized support.

[0221] The process flow will be explained below.

[0222] Step 1: The server generates the program.

[0223] The server receives the user's input and generates a program to realize a restaurant experience in the virtual reality space.

[0224] The program includes a function for recognizing user emotions through a combination of emotion engines.

[0225] Step 2: The server sends the program to the terminal.

[0226] The server transmits the generated program to the terminal.

[0227] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0228] Step 3: The device launches the generative AI and emotion engine.

[0229] The device activates the generative AI and emotion engine included in the program.

[0230] The generative AI acts as a sommelier or waiter in the virtual reality space, and the emotion engine estimates the user's emotions.

[0231] Step 4: The user begins the restaurant experience in the virtual reality space.

[0232] The user uses the terminal to enter the virtual reality space and begin the restaurant experience.

[0233] The generative AI receives the user's emotions from the emotion engine and provides dialogue and support that are tailored to those emotions.

[0234] Step 5: The user orders a meal.

[0235] Users order food from a generative AI within a virtual reality space.

[0236] The generative AI receives the order information and sends it to the server.

[0237] Step 6: The server coordinates with the delivery service.

[0238] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0239] The program performs ordering procedures with the delivery service while taking into consideration the user's emotional information based on a combination of emotion engines.

[0240] Through the above processing steps, the server generates a program and sends it to the terminal. The terminal analyzes the program and activates the generative AI and emotion engine to provide a restaurant experience in a virtual reality space. The user places a meal order through the generative AI, and the server coordinates with a delivery service to arrange for the actual delivery. Through the combination of the emotion engine, the user's emotions are recognized, and the generative AI engages in dialogue and suggests meals that match those emotions. This allows the user to receive a restaurant experience that matches their emotions and personalized support. Example 2

[0241] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the smart device 14 is referred to as a "terminal."

[0242] Conventional restaurant experience systems in virtual reality spaces often provide uniform services without considering the user's emotions, and do not adequately respond to individual users. In addition, it is difficult to provide advice appropriate to the user's emotional state when it comes to meal suggestions. Furthermore, there is insufficient integration with real delivery services, and there is an issue that the virtual reality space and the real world experience are not seamlessly connected.

[0243] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0244] In this invention, the server includes a means for receiving a user's input and generating a program for providing a restaurant experience in a virtual reality space, a means for analyzing the program received from the server and extracting necessary data and instructions, a means for activating an emotion engine and recognizing the user's emotion, a means for a generative AI to operate as a sommelier or waiter in the virtual reality space and provide dialogue and support to the user, a means for the generative AI to provide meal information and make meal suggestions and advice to the user, and a means for processing the user's order information and arranging actual delivery in cooperation with a delivery service. This makes it possible to provide a personalized restaurant experience according to the user's emotion and a service that seamlessly connects the virtual reality space and the real world.

[0245] "User input" refers to requests or instructions provided by a user wishing to experience a restaurant in a virtual reality space.

[0246] The term "means for generating a program" refers to a process and device for creating a program for providing an experience in a virtual reality space based on a user's input.

[0247] "Means for analyzing a program" refers to a process and device that decodes a program received from a server and extracts necessary data and instructions.

[0248] "Emotion Engine" refers to a combination of software and hardware for recognizing and analyzing a user's emotions.

[0249] "Generative AI" refers to an artificial intelligence system that engages in conversations and suggests meals to users based on user input and the results of an emotion engine.

[0250] "Means for extracting data" refers to processes and devices that extract the necessary instructions and information from a program.

[0251] "Means of providing dialogue and support" refers to the function of the generative AI to communicate with the user using voice or text.

[0252] "Means of making meal suggestions and advice" refers to the function whereby the generative AI provides meal recommendations and advice based on the user's emotional state and requests.

[0253] "Means for linking with a delivery service" refers to the function whereby the server communicates with a delivery service, processes the user's order information, and carries out the actual delivery procedure.

[0254] "Virtual reality space" refers to a digital simulation space where a user can enjoy a restaurant experience in a virtual environment.

[0255] This invention is a system that provides a restaurant experience in a virtual reality space, which starts with user input, and provides a personalized experience to the user through emotion recognition, suggestions by generative AI, and linkage with delivery services. This system includes the following elements.

[0256] 1. Program Generation

[0257] The server receives the user's input and generates a program for providing a restaurant experience in a virtual reality space. The program includes a function for recognizing the user's emotions by combining with an emotion engine.

[0258] The server uses development platforms such as Unity (registered trademark) and Unreal Engine (registered trademark) to design a virtual reality space based on the user's requests and generate a program based on that.

[0259] 2. Sending and analyzing the program

[0260] The server sends the generated program to the terminal, which receives it and starts analyzing it.

[0261] The terminal runs a program on the VR headset or PC, extracts instructions and data, and obtains the necessary data. As a specific example, a user wearing a virtual reality headset uses the voice recognition function to send input to a server, and then the terminal receives the program and analyzes it.

[0262] 3. Emotion engine activation and emotion recognition

[0263] The device activates an emotion engine included in the program to estimate the user's emotions, enabling interactions to be tailored to the user's emotions.

[0264] The device uses cameras and sensors to recognize the user's face and perform voice analysis, and an emotion engine uses that data to analyze the user's current mood.

[0265] 4. Meal suggestions and dialogue using generative AI

[0266] The generative AI will provide dialogue and meal suggestions to the user based on the results of the emotion engine. This generative AI will provide personalized meal suggestions and advice, especially for senior users.

[0267] The generative AI will speak to the user via voice, saying something like, "It seems like you'd like to relax today. How about some chamomile tea?"

[0268] 5. Collaboration with delivery services

[0269] The server processes the order information received from the generative AI and connects with the delivery service. At this time, the server also takes into account the results of the emotion engine and processes the order according to the user's emotions.

[0270] The server uses the API of the delivery service to send the appropriate order details to the delivery service. For example, if a user instructs the delivery service, "I would like to order a special dessert today," the server places an order for the special dessert with the delivery service.

[0271] Examples of concrete examples and prompts

[0272] Example: If a user inputs "I want to celebrate at an Italian restaurant," the server designs a virtual reality space of an Italian restaurant and generates a program that incorporates a festive atmosphere.

[0273] Example prompt: "We're hosting a celebratory dinner and want to serve Italian food. Can you give us some suggestions to get our users in the festive mood?"

[0274] In this way, the system of the present invention can seamlessly connect the virtual restaurant experience with real-world services, providing a personalized experience that responds to the user's emotions.

[0275] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0276] Step 1: Accepting user input

[0277] The user inputs specific requests for a restaurant experience in a virtual reality space into the device. Specifically, the user puts on a VR headset and voice-inputs through the interface, "I want to celebrate at an Italian restaurant."

[0278] Input: User's wishes and requests

[0279] Output: Data based on user requests

[0280] Data processing: Voice data is converted into text data using voice recognition technology.

[0281] Step 2: Program Generation

[0282] The server receives the user's input and generates a program to provide a restaurant experience in the virtual reality space. The server uses development platforms such as Unity (registered trademark) and Unreal Engine (registered trademark) to design the virtual space of the Italian restaurant.

[0283] Input: User input (text data)

[0284] Output: Virtual reality experience program

[0285] Data processing: Design a virtual space based on text data and generate a program.

[0286] Step 3: Send and analyze the program

[0287] The server sends the generated program to the terminal, which receives and analyzes the program. Specifically, the terminal reads the program and extracts the necessary data.

[0288] Input: Program data

[0289] Output: Analysis results (required data and instructions)

[0290] Data processing: Analyze program data and extract virtual space layout, menu information, etc.

[0291] Step 4: Emotion engine activation and emotion recognition

[0292] The device activates an emotion engine included in the program to recognize the user's emotions. Specifically, the device uses cameras and sensors to analyze the user's facial expressions and voice, and infers emotions based on that data.

[0293] Input: User's facial expressions and voice data

[0294] Output: Emotion data (user's current emotional state)

[0295] Data processing: Analyze user emotions using facial expression recognition and voice analysis.

[0296] Step 5: Meal suggestions and conversation

[0297] The generative AI will provide meal suggestions and advice to the user based on the results of the emotion engine. Specifically, the AI ​​will suggest via voice, "It seems like you want to relax today. How about some chamomile tea?"

[0298] Input: Emotion data

[0299] Output: Suggestions (dietary suggestions and advice)

[0300] Data processing: Providing dietary information based on sentiment data and generating personalized suggestions.

[0301] Step 6: Place your order with the delivery service

[0302] The server processes the order information received from the generative AI and connects with the delivery service. Specifically, the server uses the delivery service's API to complete the order process.

[0303] Input: Order information

[0304] Output: Notification of completion of delivery procedure

[0305] Data processing: Based on the order information, the order is processed for the delivery service and confirmation information is obtained.

[0306] (Application example 2)

[0307] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0308] Conventional food delivery services only suggest uniform menus to users, making it difficult to provide flexible meal suggestions based on the emotional state and individual preferences of each individual user. In addition, restaurant experiences in virtual reality spaces lacked coordination with actual delivery services and could not be directly linked to real-world experiences. This has led to a demand for ways to improve user satisfaction and the quality of experiences.

[0309] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to operate as a sommelier or a waiter in the virtual reality space, a means for the generative AI to acquire information from a food database and provide food information and advice to the user, a means for processing actual delivery arrangements in cooperation with a delivery service, a means for a terminal to analyze an emotion recognition program and estimate the user's emotions, and a means for the generative AI to make meal suggestions based on the results of the emotion engine. This makes it possible to provide personalized meal suggestions and advice based on the user's emotional state, and to link the experience in the virtual reality space with a real delivery service.

[0310] A "virtual reality space" is a synthesized digital environment in which users can experience things differently from the real world through sight, hearing, touch, and other senses.

[0311] A "means for generating a program" refers to the ability of a computer system to assemble a series of instructions to accomplish a specific purpose.

[0312] "Generative AI" is artificial intelligence that uses machine learning algorithms to automatically create new information and suggestions based on input data.

[0313] An "emotion engine" is software or a system that analyzes data such as a user's facial expressions and voice and infers their psychological state.

[0314] "Delivery service" refers to a service that delivers ordered products to a specified location.

[0315] An "emotion recognition program" is software that identifies a user's emotional state based on data input by the user.

[0316] A "meal database" is a data store that collects and manages information about various dishes and ingredients.

[0317] The present invention relates to a system for providing a restaurant experience in a virtual reality space, which recognizes the user's emotions, provides meal suggestions and advice corresponding to the emotions, and further cooperates with a delivery service in the real world. Specific embodiments for carrying out the present invention are described below.

[0318] First, a program for providing a restaurant experience in a virtual reality space is generated by a server. This program is configured so that a user can wear a VR headset and enter a virtual restaurant. Specifically, the user accesses the virtual space using a smartphone or a dedicated VR device.

[0319] The device then captures the user's facial expressions through the camera and uses an emotion recognition program to infer emotions using emotion models based on TENSORFLOW® and Keras®. The emotion engine analyzes the user's current emotional state (e.g., happy, sad, neutral, angry) from the captured facial expression data.

[0320] The generative AI then uses the results of the emotion engine to suggest meals that are suitable for the user. For example, if the user is recognized as being in a "happy" emotional state, the generative AI model will generate a prompt such as "What meal would you recommend when you're feeling happy?" and suggest an appropriate meal. This process is specifically performed using OpenAI (registered trademark) or a similar advanced AI model.

[0321] Once the user selects a meal, the suggested meal is automatically ordered through the delivery service. The server processes the order information received from the generative AI and coordinates with the delivery service, allowing the user to receive the meal in the real world while continuing the VR experience.

[0322] As a concrete example, the following prompt might be generated:

[0323] "What food do you recommend when you're feeling happy?"

[0324] Based on this prompt, a generative AI model would suggest meals, and a delivery service would deliver those meals to the user.

[0325] In this way, the present invention provides personalized meal suggestions based on the user's emotional state, allowing for a link between the virtual reality experience and real-world delivery services, resulting in a richer and more satisfying user experience.

[0326] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0327] Step 1:

[0328] The server generates a program that provides a restaurant experience in a virtual reality space. Specifically, it uses dedicated software to build a 3D environment that users can access with a VR headset or smartphone. At this stage, the initial settings are made for the user to enter the virtual space. The input is the user's login information, and the output is the program data for the virtual restaurant experience.

[0329] Step 2:

[0330] The terminal provides an interface for the user to access the virtual reality space. The user wears a VR headset and the terminal displays the virtual restaurant experience, where the input is the program data from the server and the output is the virtual reality space displayed to the user.

[0331] Step 3:

[0332] The device uses a camera to capture the user's facial expressions and inputs the data into an emotion recognition program. The emotion recognition program uses a model trained with TensorFlow® and Keras® to infer emotions from the user's facial expression data. The input is the image data of the user's face, and the output is an inferred emotional state (e.g., happy, sad, neutral, angry).

[0333] Step 4:

[0334] The server receives the emotion recognition results and generates a prompt for the generative AI based on them. For example, if the user's emotion is recognized as "happy," it generates a prompt: "What is the recommended meal when you are feeling happy?" The input is the emotion recognition result, and the output is the generated prompt.

[0335] Step 5:

[0336] The generative AI model receives the prompt sentence and generates meal suggestions based on it. The AI ​​model used here is, for example, ChatGPT (registered trademark) from OpenAI (registered trademark). The input is the generated prompt sentence, and the output is the suggested meal information. Specifically, the AI ​​model pulls information from a meal database and suggests meals suitable for the user.

[0337] Step 6:

[0338] The terminal displays meal suggestions to the user, and the user selects a suggested meal. After the user selects a meal, the selection information is sent to the server. The input is the meal suggestions from the generative AI, and the output is the user's selection information.

[0339] Step 7:

[0340] The server processes the selection information received from the generative AI and sends the order information to the delivery service. The server confirms the order and arranges for delivery. The input is the user's selection information (e.g., meal menu, address), and the output is the order information sent to the delivery service.

[0341] Step 8:

[0342] The delivery service performs the actual delivery procedure based on the order information. The meal is delivered to the specified address. The input is the order information from the server, and the output is the result that the meal is delivered to the user.

[0343] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0344] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generative AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0345] In the above embodiment, an example was given in which the specific process was performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0346] [Second embodiment]

[0347] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0348] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0349] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN).

[0350] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0351] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0352] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0353] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0354] Fig. 4 shows an example of main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0355] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0356] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0357] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0358] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal".

[0359] The embodiment for carrying out the present invention comprises the following elements.

[0360] 1. Server: Generates programs to provide a restaurant experience in a virtual reality space.

[0361] The server receives user input and generates a program to realize a restaurant experience in a virtual reality space. The program includes the behavior of the generative AI and information from the food database.

[0362] 2. Terminal: Provides a restaurant experience in a virtual reality space.

[0363] The device analyzes the program received from the server, extracts the necessary data and instructions, and activates the generative AI to act as a sommelier or waiter in the virtual reality space.

[0364] 3. Generative AI: Providing dietary information and advice to seniors.

[0365] The generative AI retrieves information from the food database and provides seniors with information about food, such as producer information, nutritional balance, food combinations, and meal times. It also provides advice on the order of eating, eating posture, and eating speed to assist and practice eating. For example, when a user eats at a restaurant in a virtual reality space, the user asks the generative AI, "What is the recommended menu?" The generative AI retrieves information from the food database and suggests the best menu for the user. For example, the generative AI replies, "Today's recommendation is seafood pasta made with fresh seafood. It is well-balanced in nutrition and delicious." In addition, when the user eats, the generative AI provides advice. For example, the generative AI teaches, "Before eating, first adjust your posture to hold your chopsticks. Then, eat little by little. It is important to eat slowly and savor the taste."

[0366] 4. Collaboration with delivery services: Place an order for actual delivery.

[0367] The server processes the order information received from the generative AI and connects with the delivery service, arranging the order details and delivery destination, and carrying out the actual delivery.

[0368] In this way, the server generates a program, the device receives the program, and a restaurant experience is provided in a virtual reality space. The generative AI provides meal information and advice to seniors, and can actually deliver the food by linking with a delivery service. This allows seniors who have difficulty going out to enjoy a restaurant experience.

[0369] The process flow will be explained below.

[0370] Step 1: The server generates the program.

[0371] The server receives input from the user and generates a program to realize a restaurant experience in a virtual reality space.

[0372] The server retrieves and programs information from the appropriate meal database based on the user's requests and selections.

[0373] Step 2: The server sends the program to the terminal.

[0374] The server transmits the generated program to the terminal.

[0375] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0376] Step 3: The device launches the generative AI.

[0377] The terminal launches the generative AI included in the program.

[0378] The generative AI acts as a sommelier or waiter within a virtual reality space.

[0379] Step 4: The user begins the restaurant experience in the virtual reality space.

[0380] The user uses the terminal to enter the virtual reality space and begin the restaurant experience.

[0381] The generative AI speaks to the user in a cheerful manner, providing information and advice on diet.

[0382] Step 5: The user orders a meal.

[0383] Users order food from a generative AI within a virtual reality space.

[0384] The generative AI receives the order information and sends it to the server.

[0385] Step 6: The server coordinates with the delivery service.

[0386] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0387] The server communicates the order details and delivery address to the delivery service and arranges for the actual delivery.

[0388] Through the above processing steps, the server generates a program and sends it to the terminal. The terminal analyzes the program and activates the generative AI to provide a restaurant experience in the virtual reality space. The user places a meal order through the generative AI, and the server coordinates with a delivery service to arrange for the actual delivery. This allows the user to not only enjoy a restaurant experience in the virtual reality space, but also receive the actual delivery of the meal. Example 1

[0389] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the smart glasses 214 are referred to as a "terminal".

[0390] Conventional restaurant experiences in virtual reality spaces were limited to visual and auditory experiences, making it difficult to accompany actual meals. In addition, there was a need for a system that could provide nutritional information and advice on how to eat meals, especially for seniors. Furthermore, it was not possible to link actual delivery orders with the virtual reality experience, resulting in low user convenience.

[0391] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0392] In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to act as a sommelier or a waiter in the virtual reality space, a means for the generative AI to obtain information from a food database and provide food information and advice to a user, a means for a user to ask a question to the generative AI in the virtual reality space and for the generative AI to generate an answer based on the question, and a means for arranging actual delivery in cooperation with a delivery service. This allows a user to enjoy a restaurant experience in the virtual reality space while having an actual meal delivered, and allows seniors in particular to receive information and advice about meals.

[0393] "Virtual reality space" refers to a digital three-dimensional space that appears real and is created by a computer.

[0394] A "restaurant experience" refers to a user entering a virtual restaurant in a virtual reality space and enjoying food and services.

[0395] "Means for generating a program" refers to a technology for automatically creating a program including necessary information and functions based on user input and requests.

[0396] "Generative AI" refers to a system that uses artificial intelligence technology to interact with users, provide them with information, and give them advice.

[0397] "Means of acting as a sommelier or waiter" refers to the function of a generative AI to act as a sommelier or waiter within a virtual reality space and provide service to the user.

[0398] A "meal database" refers to a database that stores information about various meals.

[0399] "Means of providing information and advice" refers to the function of the generative AI to provide the user with information and advice regarding food based on the information it obtains from the food database.

[0400] "A means of asking a question and having a generative AI generate an answer based on that question" refers to the function in which a user asks a question to a generative AI and it generates an appropriate answer to that question.

[0401] "Delivery service" means a service that delivers food and beverages to a specified location based on an order.

[0402] "Means of processing delivery arrangements" refers to the function that performs processing to place an actual delivery order based on the order information received by the generative AI.

[0403] The embodiment for carrying out the present invention comprises the following elements: Specific hardware and software settings and operations will be described below.

[0404] server

[0405] The server is responsible for generating programs to provide a restaurant experience in a virtual reality space. The server uses a physical server or a cloud server (e.g., an EC2 instance of Amazon Web Services (registered trademark)) equipped with a high-performance CPU and GPU. The server software executes a web application or an API built with Python (registered trademark) or Java (registered trademark). The server receives user input and generates multiple programs for the virtual reality space based on the input.

[0406] Terminal

[0407] The terminal has the role of providing a restaurant experience in a virtual reality space. The terminal uses a VR device (e.g., Oculus Quest (registered trademark)) or a high-performance PC. The terminal analyzes the program received from the server and extracts the necessary data and instructions. The terminal uses a game engine such as Unity (registered trademark) or Unreal Engine (registered trademark) to render the virtual reality space, providing the user with a restaurant experience close to reality.

[0408] Generative AI

[0409] The generative AI has the role of providing dietary information and advice to users. The generative AI acquires information from a dietary database (e.g., MySQL or MongoDB (registered trademark)) and provides users with information such as producer information, nutritional balance, and meal times. Natural language processing models such as ChatGPT are used for the generative AI. The generative AI generates appropriate answers to users' questions.

[0410] Collaboration with delivery services

[0411] The server processes the order information received from the generative AI and connects with delivery services (e.g. Uber Eats and Demae-can). The server transfers the order details and delivery address information to the delivery service and arranges for the actual delivery. This allows the meal experienced in the virtual reality space to be delivered to the user.

[0412] Examples

[0413] The user puts on a VR headset and enters a restaurant in a virtual reality space. The device executes the program received from the server, and the generative AI appears as a virtual waiter.

[0414] For example, if a user asks the generative AI, "What is your recommended menu item?", the generative AI will retrieve information from the food database and respond, "Today's recommendation is seafood pasta made with fresh seafood." Next, if the user says, "I'd like to order seafood pasta," the generative AI will forward the order to the server, which will then send the order to the delivery service.

[0415] Examples of prompt statements

[0416] "What's on the menu?"

[0417] Could you please tell me about the nutritional content of this menu?

[0418] "What's the best way to eat it?"

[0419] This invention allows users to enjoy a restaurant experience in a virtual reality space while having real food delivered to them. In addition, generative AI can provide useful information and advice on meals, especially for seniors.

[0420] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0421] Step 1:

[0422] A user accesses the system

[0423] Input: Internet connected device, system URL

[0424] Specific operation: A user accesses the system by opening a browser and entering the system's URL.

[0425] Output: User access request

[0426] Step 2:

[0427] The server receives the user's input

[0428] Input: User's access request, login information (ID, password)

[0429] Specific operation: The server receives a user's access request and authenticates the login information against a database, for example, by referencing an authentication database using PostgreSQL (registered trademark).

[0430] Output: User authentication result, user profile data

[0431] Step 3:

[0432] The server generates the program for the virtual reality space.

[0433] Input: User profile data, authentication results

[0434] Specific operation: The server generates multiple programs for the virtual reality space based on the profile data. The programs include interface data, environmental data, food data, and generative AI operation scripts. The server uses applications built with Python (registered trademark) and Java (registered trademark).

[0435] Output: The generated program

[0436] Step 4:

[0437] The terminal receives and analyzes the program

[0438] Input: The generated program

[0439] Specific operation: The terminal analyzes the program received from the server and extracts the necessary data and instructions. It uses JavaScript (registered trademark) or Python (registered trademark) scripts to analyze portable code files (e.g. JSON).

[0440] Output: Extracted data (interface information, environment data, generative AI scripts)

[0441] Step 5:

[0442] The device renders the virtual reality space

[0443] Input: Extracted data

[0444] Specific operation: The device renders a virtual reality space using Unity (registered trademark) or Unreal Engine (registered trademark). A VR device (e.g., Oculus Quest (registered trademark)) is used to provide the user with a realistic restaurant experience.

[0445] Output: The virtual reality space displayed to the user.

[0446] Step 6:

[0447] Generative AI begins to work

[0448] Input: Virtual reality interface information, environment data, behavior scripts

[0449] Specific operation: The generative AI connects to a food database (such as MySQL or MongoDB®) and starts working as a sommelier or waiter in the virtual reality space. For example, it queries the database via an API using a Python® script.

[0450] Output: Greeting message to the user, service start

[0451] Step 7:

[0452] The user asks the generative AI a question

[0453] Input: A voice or text question (e.g., "What's on the menu?")

[0454] Specific operation: The user asks a question to the generative AI in the virtual reality space. If there is voice input, it is converted to text via voice recognition software (e.g. Google Speech-to-Text).

[0455] Output: Question data for generative AI

[0456] Step 8:

[0457] Generative AI retrieves information from a food database and responds

[0458] Input: User question data, food database

[0459] Specific operation: The generative AI analyzes the question data and retrieves relevant information from the food database. For example, it executes an SQL query to retrieve the required information. Based on the retrieved information, it generates an answer using a natural language processing model such as ChatGPT.

[0460] Output: Answer to the user

[0461] Step 9:

[0462] User places an order

[0463] Input: Generative AI answer (e.g. "Today's recommendation is seafood pasta")

[0464] Specific operation: The user decides on a menu and tells the generative AI, "I'll order seafood pasta." If there is voice input, it is converted to text via voice recognition software.

[0465] Output: Order data

[0466] Step 10:

[0467] The server forwards the order information to the delivery service.

[0468] Input: Order data from generative AI

[0469] Specific operation: The server processes the order data received from the generative AI and forwards it to the delivery service. For example, it sends the order information to the delivery service API using an HTTP request.

[0470] Output: An order request to a delivery service

[0471] Step 11:

[0472] A delivery service delivers the order

[0473] Input: Order request from server, delivery address information

[0474] What it does: The delivery service verifies the order, prepares the food, and delivers it to the specified address, including a system for tracking the delivery.

[0475] Output: Delivery completion notification to the user (Application example 1)

[0476] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal".

[0477] In conventional systems, it was difficult for seniors and others who have difficulty going out to enjoy a high-quality restaurant experience in a virtual reality space. In addition, the lack of seamless integration between the experience in the virtual reality space and the actual food delivery service made it impossible to improve the user experience. Another issue was the lack of technology to provide visual information in the virtual reality space using smart glasses and recommend menus based on individual health conditions and food preferences.

[0478] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0479] In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to operate as a restaurant staff member in the virtual reality space, a means for the generative AI to obtain information from a food database and provide food information and advice to a user, a means for arranging delivery in the real world by linking with a delivery service, a means for visually providing information in the virtual reality space using smart glasses, and a means for the generative AI to recommend a menu that takes into account the user's food preferences and health condition. This allows a user to enjoy a high-quality restaurant experience in a virtual reality space while at home, and a seamless experience in which the food ordered on the spot is delivered in the real world. Furthermore, visual information is provided through the smart glasses, and menu recommendations based on individual health conditions and food preferences can be received.

[0480] "Virtual reality space" refers to an imaginary three-dimensional space that humans can experience using computer graphics and sensor technology.

[0481] A "restaurant experience" refers to the series of actions and services involved in ordering food in a restaurant and eating the food that is served to you.

[0482] "Generative AI" is a type of artificial intelligence that refers to systems equipped with algorithms that generate appropriate information or advice based on specific input.

[0483] "Meal database" refers to a collection of data comprising food types, nutritional content, calories and other meal-related information.

[0484] "User" refers to an individual who uses this system to experience restaurants in a virtual reality space.

[0485] "Delivery service" refers to a service that delivers ordered meals to a specified location.

[0486] "Smart glasses" refers to a wearable device that has a built-in display and provides users with a combination of real-world and virtual information.

[0487] "Program" refers to a collection of instructions for performing a specific task or purpose, and refers to software necessary for the system to operate within the virtual reality space.

[0488] "Staff" refers to the people or systems that provide services in restaurants, such as sommeliers and waiters.

[0489] "Health status" refers to an individual's current physical condition and medical situation, and is a concept that includes factors that affect food preferences and nutritional balance.

[0490] "Menu recommendation" refers to the act of suggesting the most suitable dish taking into consideration the user's preferences and health condition.

[0491] "Visual information" refers to information such as images and videos that are provided to a user through a display or projection.

[0492] "Delivery arrangements" refers to the procedures for delivering food ordered by a restaurant or the system to a specified location.

[0493] The system and program for implementing the present invention are comprised of the following components.

[0494] 1. Server:

[0495] A program that provides a restaurant experience in a virtual reality space is generated. Specifically, the server receives user input and generates code for constructing a simulation in the virtual reality space. This program includes elements that the user can visually operate in the virtual reality space, menu display, and staff movement simulation.

[0496] The server also manages a food database and provides the data used by the generative AI, including information on food types, nutritional content, calories, etc.

[0497] 2. Terminal (smart glasses):

[0498] Users can wear smart glasses (e.g., Oculus Quest (registered trademark), Hololens (registered trademark)) and enter the virtual reality space. The terminal analyzes the program received from the server and supports operations within the virtual reality space. This allows users to visually enjoy the experience of being in a virtual restaurant.

[0499] 3. Generative AI:

[0500] The generative AI retrieves information from the food database and provides users with appropriate menu recommendations, dietary information, and advice. For example, if a user asks, "What's on the menu?" the generative AI responds, "Today's recommendation is seafood pasta. It's well-balanced and delicious."

[0501] In addition, generative AI will provide personalized menu recommendations based on the user's health status and food preferences, allowing them to choose the meals that are best suited to them.

[0502] 4. Collaboration with delivery services:

[0503] The server processes the order information received from the generative AI and coordinates with the delivery service to arrange for delivery in the real world, allowing the user to receive the menu item selected in the virtual reality space at their home.

[0504] 5. Example prompt:

[0505] Examples of prompts for generative AI such as ChatGPT include the following:

[0506] Consider the user's dietary preferences and health condition and recommend a balanced dinner menu. The user likes seafood and wants low calories and high nutritional value.

[0507] As a concrete example, if a 60-year-old person A puts on smart glasses and enters the virtual space and asks the generative AI, "What is a healthy dinner you recommend?", the AI ​​will answer, "Today's recommendation is seafood pasta." Person A selects this menu, and an order is sent to a delivery service via the server, and the seafood pasta is delivered to person A's home.

[0508] The system allows customers to enjoy a high-quality virtual reality restaurant experience from the comfort of their own home, with food ordered on the spot and delivered seamlessly to the real world, while providing visual information through smart glasses and menu recommendations based on individual health conditions and dietary preferences.

[0509] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0510] Step 1:

[0511] A user puts on the smart glasses and logs into a restaurant in the virtual reality space. The server receives the user's login information and executes a program to start the experience in the virtual reality space. The input is the user's login information, and the output is a restaurant simulation in the virtual reality space.

[0512] Step 2:

[0513] The server displays the menu in the virtual reality space and allows the user to browse the menu. The user visually receives the menu information through the smart glasses. The input is the menu data on the server side, and the output is the visual menu screen on the user side.

[0514] Step 3:

[0515] The user asks the generative AI a question about food. For example, "What is your recommended menu item?" The device converts the user's voice input into text data. The input is the user's voice information, and the output is text data.

[0516] Step 4:

[0517] Generative AI queries a food database and recommends the best menu to the user. The AI ​​processes the data based on the user's health condition and preferences to extract the best menu. The input is the user's health condition and preference data, and the output is a recommended menu. For example, it makes a suggestion such as, "Today's recommendation is seafood pasta."

[0518] Step 5:

[0519] The user receives menu recommendations from the generative AI and makes a selection. The selected menu is sent to the server. The input is the AI's recommended menu, and the output is the user's selection information.

[0520] Step 6:

[0521] The server generates a delivery service order based on the user's selection information. The generated order information is sent to the delivery service. The input is the menu information selected by the user, and the output is the order information for the delivery service.

[0522] Step 7:

[0523] The delivery service delivers meals to users' homes based on order information received from the server. The input is the delivery order information, and the output is the meal delivery in the real world.

[0524] Step 8:

[0525] The server and the terminal work together to end the experience in the virtual reality space. The user ends the restaurant experience and removes the smart glasses. The input is the user's operation information, and the output is the ending screen in the virtual reality space.

[0526] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0527] The embodiment for carrying out the present invention comprises the following elements.

[0528] 1. Server: Generates programs to provide a restaurant experience in a virtual reality space.

[0529] The server receives the user's input and generates a program for realizing a restaurant experience in the virtual reality space.

[0530] The program includes the ability to recognize the user's emotions through a combination of emotion engines.

[0531] 2. Terminal: Provides a restaurant experience in a virtual reality space.

[0532] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0533] The emotion engine included in the program is activated to estimate the user's emotions.

[0534] 3. Generative AI: Providing dietary information and advice to seniors.

[0535] The generative AI receives information from the emotion engine and provides dialogue and support tailored to the user's emotions.

[0536] Programmatically, the generative AI will use the results of the emotion engine to provide more personalized dietary suggestions and advice.

[0537] 4. Collaboration with delivery services: Place an order for actual delivery.

[0538] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0539] The program performs ordering procedures with the delivery service while taking into consideration the user's emotional information based on a combination of emotion engines.

[0540] In this way, the server generates the program, and the device analyzes the program to provide a restaurant experience in a virtual reality space. By combining it with an emotion engine, the generative AI can recognize the user's emotions and provide dialogue and meal suggestions that match those emotions. By linking with a delivery service, actual delivery can also be realized. This allows users to receive a restaurant experience that matches their emotions and personalized support.

[0541] The process flow will be explained below.

[0542] Step 1: The server generates the program.

[0543] The server receives the user's input and generates a program to realize a restaurant experience in the virtual reality space.

[0544] The program includes a function for recognizing user emotions through a combination of emotion engines.

[0545] Step 2: The server sends the program to the terminal.

[0546] The server transmits the generated program to the terminal.

[0547] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0548] Step 3: The device launches the generative AI and emotion engine.

[0549] The device activates the generative AI and emotion engine included in the program.

[0550] The generative AI acts as a sommelier or waiter in the virtual reality space, and the emotion engine estimates the user's emotions.

[0551] Step 4: The user begins the restaurant experience in the virtual reality space.

[0552] The user uses the terminal to enter the virtual reality space and begin the restaurant experience.

[0553] The generative AI receives the user's emotions from the emotion engine and provides dialogue and support that are tailored to those emotions.

[0554] Step 5: The user orders a meal.

[0555] Users order food from a generative AI within a virtual reality space.

[0556] The generative AI receives the order information and sends it to the server.

[0557] Step 6: The server coordinates with the delivery service.

[0558] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0559] The program performs ordering procedures with the delivery service while taking into consideration the user's emotional information based on a combination of emotion engines.

[0560] Through the above processing steps, the server generates a program and sends it to the terminal. The terminal analyzes the program and activates the generative AI and emotion engine to provide a restaurant experience in a virtual reality space. The user places a meal order through the generative AI, and the server coordinates with a delivery service to arrange for the actual delivery. Through the combination of the emotion engine, the user's emotions are recognized, and the generative AI engages in dialogue and suggests meals that match those emotions. This allows the user to receive a restaurant experience that matches their emotions and personalized support. Example 2

[0561] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the smart glasses 214 are referred to as a "terminal".

[0562] Conventional restaurant experience systems in virtual reality spaces often provide uniform services without considering the user's emotions, and do not adequately respond to individual users. In addition, it is difficult to provide advice appropriate to the user's emotional state when it comes to meal suggestions. Furthermore, there is insufficient integration with real delivery services, and there is an issue that the virtual reality space and the real world experience are not seamlessly connected.

[0563] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0564] In this invention, the server includes a means for receiving a user's input and generating a program for providing a restaurant experience in a virtual reality space, a means for analyzing the program received from the server and extracting necessary data and instructions, a means for activating an emotion engine and recognizing the user's emotion, a means for a generative AI to operate as a sommelier or waiter in the virtual reality space and provide dialogue and support to the user, a means for the generative AI to provide meal information and make meal suggestions and advice to the user, and a means for processing the user's order information and arranging actual delivery in cooperation with a delivery service. This makes it possible to provide a personalized restaurant experience according to the user's emotion and a service that seamlessly connects the virtual reality space and the real world.

[0565] "User input" refers to requests or instructions provided by a user wishing to experience a restaurant in a virtual reality space.

[0566] The term "means for generating a program" refers to a process and device for creating a program for providing an experience in a virtual reality space based on a user's input.

[0567] "Means for analyzing a program" refers to a process and device that decodes a program received from a server and extracts necessary data and instructions.

[0568] "Emotion Engine" refers to a combination of software and hardware for recognizing and analyzing a user's emotions.

[0569] "Generative AI" refers to an artificial intelligence system that engages in conversations and suggests meals to users based on user input and the results of an emotion engine.

[0570] "Means for extracting data" refers to processes and devices that extract the necessary instructions and information from a program.

[0571] "Means of providing dialogue and support" refers to the function of the generative AI to communicate with the user using voice or text.

[0572] "Means of making meal suggestions and advice" refers to the function whereby the generative AI provides meal recommendations and advice based on the user's emotional state and requests.

[0573] "Means for linking with a delivery service" refers to the function whereby the server communicates with a delivery service, processes the user's order information, and carries out the actual delivery procedure.

[0574] "Virtual reality space" refers to a digital simulation space where a user can enjoy a restaurant experience in a virtual environment.

[0575] This invention is a system that provides a restaurant experience in a virtual reality space, which starts with user input, and provides a personalized experience to the user through emotion recognition, suggestions by generative AI, and linkage with delivery services. This system includes the following elements.

[0576] 1. Program Generation

[0577] The server receives the user's input and generates a program for providing a restaurant experience in a virtual reality space. The program includes a function for recognizing the user's emotions by combining with an emotion engine.

[0578] The server uses development platforms such as Unity (registered trademark) and Unreal Engine (registered trademark) to design a virtual reality space based on the user's requests and generate a program based on that.

[0579] 2. Sending and analyzing the program

[0580] The server sends the generated program to the terminal, which receives it and starts analyzing it.

[0581] The terminal runs a program on the VR headset or PC, extracts instructions and data, and obtains the necessary data. As a specific example, a user wearing a virtual reality headset uses the voice recognition function to send input to a server, and then the terminal receives the program and analyzes it.

[0582] 3. Emotion engine activation and emotion recognition

[0583] The device activates an emotion engine included in the program to estimate the user's emotions, enabling interactions to be tailored to the user's emotions.

[0584] The device uses cameras and sensors to recognize the user's face and perform voice analysis, and an emotion engine uses that data to analyze the user's current mood.

[0585] 4. Meal suggestions and dialogue using generative AI

[0586] The generative AI will provide dialogue and meal suggestions to the user based on the results of the emotion engine. This generative AI will provide personalized meal suggestions and advice, especially for senior users.

[0587] The generative AI will speak to the user via voice, saying something like, "It seems like you'd like to relax today. How about some chamomile tea?"

[0588] 5. Collaboration with delivery services

[0589] The server processes the order information received from the generative AI and connects with the delivery service. At this time, the server also takes into account the results of the emotion engine and processes the order according to the user's emotions.

[0590] The server uses the API of the delivery service to send the appropriate order details to the delivery service. For example, if a user instructs the delivery service, "I would like to order a special dessert today," the server places an order for the special dessert with the delivery service.

[0591] Examples of concrete examples and prompts

[0592] Example: If a user inputs "I want to celebrate at an Italian restaurant," the server designs a virtual reality space of an Italian restaurant and generates a program that incorporates a festive atmosphere.

[0593] Example prompt: "We're hosting a celebratory dinner and want to serve Italian food. Can you give us some suggestions to get our users in the festive mood?"

[0594] In this way, the system of the present invention can seamlessly connect the virtual restaurant experience with real-world services, providing a personalized experience that responds to the user's emotions.

[0595] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0596] Step 1: Accepting user input

[0597] The user inputs specific requests for a restaurant experience in a virtual reality space into the device. Specifically, the user puts on a VR headset and voice-inputs through the interface, "I want to celebrate at an Italian restaurant."

[0598] Input: User's wishes and requests

[0599] Output: Data based on user requests

[0600] Data processing: Voice data is converted into text data using voice recognition technology.

[0601] Step 2: Program Generation

[0602] The server receives the user's input and generates a program to provide a restaurant experience in the virtual reality space. The server uses development platforms such as Unity (registered trademark) and Unreal Engine (registered trademark) to design the virtual space of the Italian restaurant.

[0603] Input: User input (text data)

[0604] Output: Virtual reality experience program

[0605] Data processing: Design a virtual space based on text data and generate a program.

[0606] Step 3: Send and analyze the program

[0607] The server sends the generated program to the terminal, which receives and analyzes the program. Specifically, the terminal reads the program and extracts the necessary data.

[0608] Input: Program data

[0609] Output: Analysis results (required data and instructions)

[0610] Data processing: Analyze program data and extract virtual space layout, menu information, etc.

[0611] Step 4: Emotion engine activation and emotion recognition

[0612] The device activates an emotion engine included in the program to recognize the user's emotions. Specifically, the device uses cameras and sensors to analyze the user's facial expressions and voice, and infers emotions based on that data.

[0613] Input: User's facial expressions and voice data

[0614] Output: Emotion data (user's current emotional state)

[0615] Data processing: Analyze user emotions using facial expression recognition and voice analysis.

[0616] Step 5: Meal suggestions and conversation

[0617] The generative AI will provide meal suggestions and advice to the user based on the results of the emotion engine. Specifically, the AI ​​will suggest via voice, "It seems like you want to relax today. How about some chamomile tea?"

[0618] Input: Emotion data

[0619] Output: Suggestions (dietary suggestions and advice)

[0620] Data processing: Providing dietary information based on sentiment data and generating personalized suggestions.

[0621] Step 6: Place your order with the delivery service

[0622] The server processes the order information received from the generative AI and connects with the delivery service. Specifically, the server uses the delivery service's API to complete the order process.

[0623] Input: Order information

[0624] Output: Notification of completion of delivery procedure

[0625] Data processing: Based on the order information, the order is processed for the delivery service and confirmation information is obtained. (Application example 2)

[0626] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal".

[0627] Conventional food delivery services only suggest uniform menus to users, making it difficult to provide flexible meal suggestions based on the emotional state and individual preferences of each individual user. In addition, restaurant experiences in virtual reality spaces lacked coordination with actual delivery services and could not be directly linked to real-world experiences. This has led to a demand for ways to improve user satisfaction and the quality of experiences.

[0628] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to operate as a sommelier or a waiter in the virtual reality space, a means for the generative AI to acquire information from a food database and provide food information and advice to the user, a means for processing actual delivery arrangements in cooperation with a delivery service, a means for a terminal to analyze an emotion recognition program and estimate the user's emotions, and a means for the generative AI to make meal suggestions based on the results of the emotion engine. This makes it possible to provide personalized meal suggestions and advice based on the user's emotional state, and to link the experience in the virtual reality space with a real delivery service.

[0629] A "virtual reality space" is a synthesized digital environment in which users can experience things differently from the real world through sight, hearing, touch, and other senses.

[0630] A "means for generating a program" refers to the ability of a computer system to assemble a series of instructions to accomplish a specific purpose.

[0631] "Generative AI" is artificial intelligence that uses machine learning algorithms to automatically create new information and suggestions based on input data.

[0632] An "emotion engine" is software or a system that analyzes data such as a user's facial expressions and voice and infers their psychological state.

[0633] "Delivery service" refers to a service that delivers ordered products to a specified location.

[0634] An "emotion recognition program" is software that identifies a user's emotional state based on data input by the user.

[0635] A "meal database" is a data store that collects and manages information about various dishes and ingredients.

[0636] The present invention relates to a system for providing a restaurant experience in a virtual reality space, which recognizes the user's emotions, provides meal suggestions and advice corresponding to the emotions, and further cooperates with a delivery service in the real world. Specific embodiments for carrying out the present invention are described below.

[0637] First, a program for providing a restaurant experience in a virtual reality space is generated by a server. This program is configured so that a user can wear a VR headset and enter a virtual restaurant. Specifically, the user accesses the virtual space using a smartphone or a dedicated VR device.

[0638] The device then captures the user's facial expressions through the camera and uses an emotion recognition program to infer emotions using emotion models based on TensorFlow® and Keras®. The emotion engine analyzes the user's current emotional state (e.g., happy, sad, neutral, angry) from the captured facial expression data.

[0639] The generative AI then uses the results of the emotion engine to suggest meals that are suitable for the user. For example, if the user is recognized as being in a "happy" emotional state, the generative AI model will generate a prompt such as "What meal would you recommend when you're feeling happy?" and suggest an appropriate meal. This process is specifically performed using OpenAI (registered trademark) or a similar advanced AI model.

[0640] Once the user selects a meal, the suggested meal is automatically ordered through the delivery service. The server processes the order information received from the generative AI and coordinates with the delivery service, allowing the user to receive the meal in the real world while continuing the VR experience.

[0641] As a concrete example, the following prompt might be generated:

[0642] "What food do you recommend when you're feeling happy?"

[0643] Based on this prompt, a generative AI model would suggest meals, and a delivery service would deliver those meals to the user.

[0644] In this way, the present invention provides personalized meal suggestions based on the user's emotional state, allowing for a link between the virtual reality experience and real-world delivery services, resulting in a richer and more satisfying user experience.

[0645] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0646] Step 1:

[0647] The server generates a program that provides a restaurant experience in a virtual reality space. Specifically, it uses dedicated software to build a 3D environment that users can access with a VR headset or smartphone. At this stage, the initial settings are made for the user to enter the virtual space. The input is the user's login information, and the output is the program data for the virtual restaurant experience.

[0648] Step 2:

[0649] The terminal provides an interface for the user to access the virtual reality space. The user wears a VR headset and the terminal displays the virtual restaurant experience, where the input is the program data from the server and the output is the virtual reality space displayed to the user.

[0650] Step 3:

[0651] The device uses a camera to capture the user's facial expressions and inputs the data into an emotion recognition program. The emotion recognition program uses a model trained with TensorFlow® and Keras® to infer emotions from the user's facial expression data. The input is the image data of the user's face, and the output is an inferred emotional state (e.g., happy, sad, neutral, angry).

[0652] Step 4:

[0653] The server receives the emotion recognition results and generates a prompt for the generative AI based on them. For example, if the user's emotion is recognized as "happy," it generates a prompt: "What is the recommended meal when you are feeling happy?" The input is the emotion recognition result, and the output is the generated prompt.

[0654] Step 5:

[0655] The generative AI model receives the prompt sentence and generates meal suggestions based on it. The AI ​​model used here is, for example, ChatGPT by OpenAI (registered trademark). The input is the generated prompt sentence, and the output is the suggested meal information. Specifically, the AI ​​model pulls information from a meal database and suggests meals suitable for the user.

[0656] Step 6:

[0657] The terminal displays meal suggestions to the user, and the user selects a suggested meal. After the user selects a meal, the selection information is sent to the server. The input is the meal suggestions from the generative AI, and the output is the user's selection information.

[0658] Step 7:

[0659] The server processes the selection information received from the generative AI and sends the order information to the delivery service. The server confirms the order and arranges for delivery. The input is the user's selection information (e.g., meal menu, address), and the output is the order information sent to the delivery service.

[0660] Step 8:

[0661] The delivery service performs the actual delivery procedure based on the order information. The meal is delivered to the specified address. The input is the order information from the server, and the output is the result that the meal is delivered to the user.

[0662] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0663] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generative AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0664] 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 the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0665] [Third embodiment]

[0666] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0667] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0668] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN).

[0669] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0670] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0671] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0672] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0673] Fig. 6 shows an example of main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0674] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0675] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0676] In the headset type terminal 314, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0677] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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".

[0678] The embodiment for carrying out the present invention comprises the following elements.

[0679] 1. Server: Generates programs to provide a restaurant experience in a virtual reality space.

[0680] The server receives user input and generates a program to realize a restaurant experience in a virtual reality space. The program includes the behavior of the generative AI and information from the food database.

[0681] 2. Terminal: Provides a restaurant experience in a virtual reality space.

[0682] The device analyzes the program received from the server, extracts the necessary data and instructions, and activates the generative AI to act as a sommelier or waiter in the virtual reality space.

[0683] 3. Generative AI: Providing dietary information and advice to seniors.

[0684] The generative AI retrieves information from the food database and provides seniors with information about food, such as producer information, nutritional balance, food combinations, and meal times. It also provides advice on the order of eating, eating posture, and eating speed to assist and practice eating. For example, when a user eats at a restaurant in a virtual reality space, the user asks the generative AI, "What is the recommended menu?" The generative AI retrieves information from the food database and suggests the best menu for the user. For example, the generative AI replies, "Today's recommendation is seafood pasta made with fresh seafood. It is well-balanced in nutrition and delicious." In addition, when the user eats, the generative AI provides advice. For example, the generative AI teaches, "Before eating, first adjust your posture to hold your chopsticks. Then, eat little by little. It is important to eat slowly and savor the taste."

[0685] 4. Collaboration with delivery services: Place an order for actual delivery.

[0686] The server processes the order information received from the generative AI and connects with the delivery service, arranging the order details and delivery destination, and carrying out the actual delivery.

[0687] In this way, the server generates a program, the device receives the program, and a restaurant experience is provided in a virtual reality space. The generative AI provides meal information and advice to seniors, and can actually deliver the food by linking with a delivery service. This allows seniors who have difficulty going out to enjoy a restaurant experience.

[0688] The process flow will be explained below.

[0689] Step 1: The server generates the program.

[0690] The server receives input from the user and generates a program to realize a restaurant experience in a virtual reality space.

[0691] The server retrieves and programs information from the appropriate meal database based on the user's requests and selections.

[0692] Step 2: The server sends the program to the terminal.

[0693] The server transmits the generated program to the terminal.

[0694] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0695] Step 3: The device launches the generative AI.

[0696] The terminal launches the generative AI included in the program.

[0697] The generative AI acts as a sommelier or waiter within a virtual reality space.

[0698] Step 4: The user begins the restaurant experience in the virtual reality space.

[0699] The user uses the terminal to enter the virtual reality space and begin the restaurant experience.

[0700] The generative AI speaks to the user in a cheerful manner, providing information and advice on diet.

[0701] Step 5: The user orders a meal.

[0702] Users order food from a generative AI within a virtual reality space.

[0703] The generative AI receives the order information and sends it to the server.

[0704] Step 6: The server coordinates with the delivery service.

[0705] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0706] The server communicates the order details and delivery address to the delivery service and arranges for the actual delivery.

[0707] Through the above processing steps, the server generates a program and sends it to the terminal. The terminal analyzes the program and activates the generative AI to provide a restaurant experience in the virtual reality space. The user places a meal order through the generative AI, and the server coordinates with a delivery service to arrange for the actual delivery. This allows the user to not only enjoy a restaurant experience in the virtual reality space, but also receive the actual delivery of the meal. Example 1

[0708] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal".

[0709] Conventional restaurant experiences in virtual reality spaces were limited to visual and auditory experiences, making it difficult to accompany actual meals. In addition, there was a need for a system that could provide nutritional information and advice on how to eat meals, especially for seniors. Furthermore, it was not possible to link actual delivery orders with the virtual reality experience, resulting in low user convenience.

[0710] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0711] In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to act as a sommelier or a waiter in the virtual reality space, a means for the generative AI to obtain information from a food database and provide food information and advice to a user, a means for a user to ask a question to the generative AI in the virtual reality space and for the generative AI to generate an answer based on the question, and a means for arranging actual delivery in cooperation with a delivery service. This allows a user to enjoy a restaurant experience in the virtual reality space while having an actual meal delivered, and allows seniors in particular to receive information and advice about meals.

[0712] "Virtual reality space" refers to a digital three-dimensional space that appears real and is created by a computer.

[0713] A "restaurant experience" refers to a user entering a virtual restaurant in a virtual reality space and enjoying food and services.

[0714] "Means for generating a program" refers to a technology for automatically creating a program including necessary information and functions based on user input and requests.

[0715] "Generative AI" refers to a system that uses artificial intelligence technology to interact with users, provide them with information, and give them advice.

[0716] "Means of acting as a sommelier or waiter" refers to the function of a generative AI to act as a sommelier or waiter within a virtual reality space and provide service to the user.

[0717] A "meal database" refers to a database that stores information about various meals.

[0718] "Means of providing information and advice" refers to the function of the generative AI to provide the user with information and advice regarding food based on the information it obtains from the food database.

[0719] "A means of asking a question and having a generative AI generate an answer based on that question" refers to the function in which a user asks a question to a generative AI and it generates an appropriate answer to that question.

[0720] "Delivery service" means a service that delivers food and beverages to a specified location based on an order.

[0721] "Means of processing delivery arrangements" refers to the function that performs processing to place an actual delivery order based on the order information received by the generative AI.

[0722] The embodiment for carrying out the present invention comprises the following elements: Specific hardware and software settings and operations will be described below.

[0723] server

[0724] The server is responsible for generating programs to provide a restaurant experience in a virtual reality space. The server uses a physical server or a cloud server (e.g., an EC2 instance of Amazon Web Services (registered trademark)) equipped with a high-performance CPU and GPU. The server software executes a web application or an API built with Python (registered trademark) or Java (registered trademark). The server receives user input and generates multiple programs for the virtual reality space based on the input.

[0725] Terminal

[0726] The terminal has the role of providing a restaurant experience in a virtual reality space. The terminal uses a VR device (e.g., Oculus Quest (registered trademark)) or a high-performance PC. The terminal analyzes the program received from the server and extracts the necessary data and instructions. The terminal uses a game engine such as Unity (registered trademark) or Unreal Engine (registered trademark) to render the virtual reality space, providing the user with a restaurant experience close to reality.

[0727] Generative AI

[0728] The generative AI has the role of providing dietary information and advice to users. The generative AI acquires information from a dietary database (e.g., MySQL or MongoDB (registered trademark)) and provides users with information such as producer information, nutritional balance, and meal times. Natural language processing models such as ChatGPT are used for the generative AI. The generative AI generates appropriate answers to users' questions.

[0729] Collaboration with delivery services

[0730] The server processes the order information received from the generative AI and connects with delivery services (e.g. Uber Eats and Demae-can). The server transfers the order details and delivery address information to the delivery service and arranges for the actual delivery. This allows the meal experienced in the virtual reality space to be delivered to the user.

[0731] Examples

[0732] The user puts on a VR headset and enters a restaurant in a virtual reality space. The device executes the program received from the server, and the generative AI appears as a virtual waiter.

[0733] For example, if a user asks the generative AI, "What is your recommended menu item?", the generative AI will retrieve information from the food database and respond, "Today's recommendation is seafood pasta made with fresh seafood." Next, if the user says, "I'd like to order seafood pasta," the generative AI will forward the order to the server, which will then send the order to the delivery service.

[0734] Examples of prompt statements

[0735] "What's on the menu?"

[0736] Could you please tell me about the nutritional content of this menu?

[0737] "What's the best way to eat it?"

[0738] This invention allows users to enjoy a restaurant experience in a virtual reality space while having real food delivered to them. In addition, generative AI can provide useful information and advice on meals, especially for seniors.

[0739] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0740] Step 1:

[0741] A user accesses the system

[0742] Input: Internet connected device, system URL

[0743] Specific operation: A user accesses the system by opening a browser and entering the system's URL.

[0744] Output: User access request

[0745] Step 2:

[0746] The server receives the user's input

[0747] Input: User's access request, login information (ID, password)

[0748] Specific operation: The server receives a user's access request and authenticates the login information against a database, for example, by referencing an authentication database using PostgreSQL (registered trademark).

[0749] Output: User authentication result, user profile data

[0750] Step 3:

[0751] The server generates the program for the virtual reality space.

[0752] Input: User profile data, authentication results

[0753] Specific operation: The server generates multiple programs for the virtual reality space based on the profile data. The programs include interface data, environmental data, food data, and generative AI operation scripts. The server uses applications built with Python (registered trademark) and Java (registered trademark).

[0754] Output: The generated program

[0755] Step 4:

[0756] The terminal receives and analyzes the program

[0757] Input: The generated program

[0758] Specific operation: The terminal analyzes the program received from the server and extracts the necessary data and instructions. It uses JavaScript (registered trademark) or Python (registered trademark) scripts to analyze portable code files (e.g. JSON).

[0759] Output: Extracted data (interface information, environment data, generative AI scripts)

[0760] Step 5:

[0761] The device renders the virtual reality space

[0762] Input: Extracted data

[0763] Specific operation: The device renders a virtual reality space using Unity (registered trademark) or Unreal Engine (registered trademark). A VR device (e.g., Oculus Quest (registered trademark)) is used to provide the user with a realistic restaurant experience.

[0764] Output: The virtual reality space displayed to the user.

[0765] Step 6:

[0766] Generative AI begins to work

[0767] Input: Virtual reality interface information, environment data, behavior scripts

[0768] Specific operation: The generative AI connects to a food database (such as MySQL or MongoDB®) and starts working as a sommelier or waiter in the virtual reality space. For example, it queries the database via an API using a Python® script.

[0769] Output: Greeting message to the user, service start

[0770] Step 7:

[0771] The user asks the generative AI a question

[0772] Input: A voice or text question (e.g., "What's on the menu?")

[0773] Specific operation: The user asks a question to the generative AI in the virtual reality space. If there is voice input, it is converted to text via voice recognition software (e.g. Google Speech-to-Text).

[0774] Output: Question data for generative AI

[0775] Step 8:

[0776] Generative AI retrieves information from a food database and responds

[0777] Input: User question data, food database

[0778] Specific operation: The generative AI analyzes the question data and retrieves relevant information from the food database. For example, it executes an SQL query to retrieve the required information. Based on the retrieved information, it generates an answer using a natural language processing model such as ChatGPT.

[0779] Output: Answer to the user

[0780] Step 9:

[0781] User places an order

[0782] Input: Generative AI answer (e.g. "Today's recommendation is seafood pasta")

[0783] Specific operation: The user decides on a menu and tells the generative AI, "I'll order seafood pasta." If there is voice input, it is converted to text via voice recognition software.

[0784] Output: Order data

[0785] Step 10:

[0786] The server forwards the order information to the delivery service.

[0787] Input: Order data from generative AI

[0788] Specific operation: The server processes the order data received from the generative AI and forwards it to the delivery service. For example, it sends the order information to the delivery service API using an HTTP request.

[0789] Output: An order request to a delivery service

[0790] Step 11:

[0791] A delivery service delivers the order

[0792] Input: Order request from server, delivery address information

[0793] What it does: The delivery service verifies the order, prepares the food, and delivers it to the specified address, including a system for tracking the delivery.

[0794] Output: Delivery completion notification to the user (Application example 1)

[0795] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0796] In conventional systems, it was difficult for seniors and others who have difficulty going out to enjoy a high-quality restaurant experience in a virtual reality space. In addition, the lack of seamless integration between the experience in the virtual reality space and the actual food delivery service made it impossible to improve the user experience. Another issue was the lack of technology to provide visual information in the virtual reality space using smart glasses and recommend menus based on individual health conditions and food preferences.

[0797] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0798] In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to operate as a restaurant staff member in the virtual reality space, a means for the generative AI to obtain information from a food database and provide food information and advice to a user, a means for arranging delivery in the real world by linking with a delivery service, a means for visually providing information in the virtual reality space using smart glasses, and a means for the generative AI to recommend a menu that takes into account the user's food preferences and health condition. This allows a user to enjoy a high-quality restaurant experience in a virtual reality space while at home, and a seamless experience in which the food ordered on the spot is delivered in the real world. Furthermore, visual information is provided through the smart glasses, and menu recommendations based on individual health conditions and food preferences can be received.

[0799] "Virtual reality space" refers to an imaginary three-dimensional space that humans can experience using computer graphics and sensor technology.

[0800] A "restaurant experience" refers to the series of actions and services involved in ordering food in a restaurant and eating the food that is served to you.

[0801] "Generative AI" is a type of artificial intelligence that refers to systems equipped with algorithms that generate appropriate information or advice based on specific input.

[0802] "Meal database" refers to a collection of data comprising food types, nutritional content, calories and other meal-related information.

[0803] "User" refers to an individual who uses this system to experience restaurants in a virtual reality space.

[0804] "Delivery service" refers to a service that delivers ordered meals to a specified location.

[0805] "Smart glasses" refers to a wearable device that has a built-in display and provides users with a combination of real-world and virtual information.

[0806] "Program" refers to a collection of instructions for performing a specific task or purpose, and refers to software necessary for the system to operate within the virtual reality space.

[0807] "Staff" refers to the people or systems that provide services in restaurants, such as sommeliers and waiters.

[0808] "Health status" refers to an individual's current physical condition and medical situation, and is a concept that includes factors that affect food preferences and nutritional balance.

[0809] "Menu recommendation" refers to the act of suggesting the most suitable dish taking into consideration the user's preferences and health condition.

[0810] "Visual information" refers to information such as images and videos that are provided to a user through a display or projection.

[0811] "Delivery arrangements" refers to the procedures for delivering food ordered by a restaurant or the system to a specified location.

[0812] The system and program for implementing the present invention are comprised of the following components.

[0813] 1. Server:

[0814] A program that provides a restaurant experience in a virtual reality space is generated. Specifically, the server receives user input and generates code for constructing a simulation in the virtual reality space. This program includes elements that the user can visually operate in the virtual reality space, menu display, and staff movement simulation.

[0815] The server also manages a food database and provides the data used by the generative AI, including information on food types, nutritional content, calories, etc.

[0816] 2. Terminal (smart glasses):

[0817] Users can wear smart glasses (e.g., Oculus Quest (registered trademark), Hololens (registered trademark)) and enter the virtual reality space. The terminal analyzes the program received from the server and supports operations within the virtual reality space. This allows users to visually enjoy the experience of being in a virtual restaurant.

[0818] 3. Generative AI:

[0819] The generative AI retrieves information from the food database and provides users with appropriate menu recommendations, dietary information, and advice. For example, if a user asks, "What's on the menu?" the generative AI responds, "Today's recommendation is seafood pasta. It's well-balanced and delicious."

[0820] In addition, generative AI will provide personalized menu recommendations based on the user's health status and food preferences, allowing them to choose the meals that are best suited to them.

[0821] 4. Collaboration with delivery services:

[0822] The server processes the order information received from the generative AI and coordinates with the delivery service to arrange for delivery in the real world, allowing the user to receive the menu item selected in the virtual reality space at their home.

[0823] 5. Example prompt:

[0824] Examples of prompts for generative AI such as ChatGPT include the following:

[0825] Consider the user's dietary preferences and health condition and recommend a balanced dinner menu. The user likes seafood and wants low calories and high nutritional value.

[0826] As a concrete example, if a 60-year-old person A puts on smart glasses and enters the virtual space and asks the generative AI, "What is a healthy dinner you recommend?", the AI ​​will answer, "Today's recommendation is seafood pasta." Person A selects this menu, and an order is sent to a delivery service via the server, and the seafood pasta is delivered to person A's home.

[0827] The system allows customers to enjoy a high-quality virtual reality restaurant experience from the comfort of their own home, with food ordered on the spot and delivered seamlessly to the real world, while providing visual information through smart glasses and menu recommendations based on individual health conditions and dietary preferences.

[0828] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0829] Step 1:

[0830] A user puts on the smart glasses and logs into a restaurant in the virtual reality space. The server receives the user's login information and executes a program to start the experience in the virtual reality space. The input is the user's login information, and the output is a restaurant simulation in the virtual reality space.

[0831] Step 2:

[0832] The server displays the menu in the virtual reality space and allows the user to browse the menu. The user visually receives the menu information through the smart glasses. The input is the menu data on the server side, and the output is the visual menu screen on the user side.

[0833] Step 3:

[0834] The user asks the generative AI a question about food. For example, "What is your recommended menu item?" The device converts the user's voice input into text data. The input is the user's voice information, and the output is text data.

[0835] Step 4:

[0836] Generative AI queries a food database and recommends the best menu to the user. The AI ​​processes the data based on the user's health condition and preferences to extract the best menu. The input is the user's health condition and preference data, and the output is a recommended menu. For example, it makes a suggestion such as, "Today's recommendation is seafood pasta."

[0837] Step 5:

[0838] The user receives menu recommendations from the generative AI and makes a selection. The selected menu is sent to the server. The input is the AI's recommended menu, and the output is the user's selection information.

[0839] Step 6:

[0840] The server generates a delivery service order based on the user's selection information. The generated order information is sent to the delivery service. The input is the menu information selected by the user, and the output is the order information for the delivery service.

[0841] Step 7:

[0842] The delivery service delivers meals to users' homes based on order information received from the server. The input is the delivery order information, and the output is the meal delivery in the real world.

[0843] Step 8:

[0844] The server and the terminal work together to end the experience in the virtual reality space. The user ends the restaurant experience and removes the smart glasses. The input is the user's operation information, and the output is the ending screen in the virtual reality space.

[0845] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0846] The embodiment for carrying out the present invention comprises the following elements.

[0847] 1. Server: Generates programs to provide a restaurant experience in a virtual reality space.

[0848] The server receives the user's input and generates a program for realizing a restaurant experience in the virtual reality space.

[0849] The program includes the ability to recognize the user's emotions through a combination of emotion engines.

[0850] 2. Terminal: Provides a restaurant experience in a virtual reality space.

[0851] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0852] The emotion engine included in the program is activated to estimate the user's emotions.

[0853] 3. Generative AI: Providing dietary information and advice to seniors.

[0854] The generative AI receives information from the emotion engine and provides dialogue and support tailored to the user's emotions.

[0855] Programmatically, the generative AI will use the results of the emotion engine to provide more personalized dietary suggestions and advice.

[0856] 4. Collaboration with delivery services: Place an order for actual delivery.

[0857] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0858] The program performs ordering procedures with the delivery service while taking into consideration the user's emotional information based on a combination of emotion engines.

[0859] In this way, the server generates the program, and the device analyzes the program to provide a restaurant experience in a virtual reality space. By combining it with an emotion engine, the generative AI can recognize the user's emotions and provide dialogue and meal suggestions that match those emotions. By linking with a delivery service, actual delivery can also be realized. This allows users to receive a restaurant experience that matches their emotions and personalized support.

[0860] The process flow will be explained below.

[0861] Step 1: The server generates the program.

[0862] The server receives the user's input and generates a program to realize a restaurant experience in the virtual reality space.

[0863] The program includes a function for recognizing user emotions through a combination of emotion engines.

[0864] Step 2: The server sends the program to the terminal.

[0865] The server transmits the generated program to the terminal.

[0866] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[0867] Step 3: The device launches the generative AI and emotion engine.

[0868] The device activates the generative AI and emotion engine included in the program.

[0869] The generative AI acts as a sommelier or waiter in the virtual reality space, and the emotion engine estimates the user's emotions.

[0870] Step 4: The user begins the restaurant experience in the virtual reality space.

[0871] The user uses the terminal to enter the virtual reality space and begin the restaurant experience.

[0872] The generative AI receives the user's emotions from the emotion engine and provides dialogue and support that are tailored to those emotions.

[0873] Step 5: The user orders a meal.

[0874] Users order food from a generative AI within a virtual reality space.

[0875] The generative AI receives the order information and sends it to the server.

[0876] Step 6: The server coordinates with the delivery service.

[0877] The server processes the order information received from the generative AI and coordinates with the delivery service.

[0878] The program performs ordering procedures with the delivery service while taking into consideration the user's emotional information based on a combination of emotion engines.

[0879] Through the above processing steps, the server generates a program and sends it to the terminal. The terminal analyzes the program and activates the generative AI and emotion engine to provide a restaurant experience in a virtual reality space. The user places a meal order through the generative AI, and the server coordinates with a delivery service to arrange for the actual delivery. Through the combination of the emotion engine, the user's emotions are recognized, and the generative AI engages in dialogue and suggests meals that match those emotions. This allows the user to receive a restaurant experience that matches their emotions and personalized support. Example 2

[0880] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the headset type terminal 314 is referred to as a "terminal."

[0881] Conventional restaurant experience systems in virtual reality spaces often provide uniform services without considering the user's emotions, and do not adequately respond to individual users. In addition, it is difficult to provide advice appropriate to the user's emotional state when it comes to meal suggestions. Furthermore, there is insufficient integration with real delivery services, and there is an issue that the virtual reality space and the real world experience are not seamlessly connected.

[0882] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0883] In this invention, the server includes a means for receiving a user's input and generating a program for providing a restaurant experience in a virtual reality space, a means for analyzing the program received from the server and extracting necessary data and instructions, a means for activating an emotion engine and recognizing the user's emotion, a means for a generative AI to operate as a sommelier or waiter in the virtual reality space and provide dialogue and support to the user, a means for the generative AI to provide meal information and make meal suggestions and advice to the user, and a means for processing the user's order information and arranging actual delivery in cooperation with a delivery service. This makes it possible to provide a personalized restaurant experience according to the user's emotion and a service that seamlessly connects the virtual reality space and the real world.

[0884] "User input" refers to requests or instructions provided by a user wishing to experience a restaurant in a virtual reality space.

[0885] The term "means for generating a program" refers to a process and device for creating a program for providing an experience in a virtual reality space based on a user's input.

[0886] "Means for analyzing a program" refers to a process and device that decodes a program received from a server and extracts necessary data and instructions.

[0887] "Emotion Engine" refers to a combination of software and hardware for recognizing and analyzing a user's emotions.

[0888] "Generative AI" refers to an artificial intelligence system that engages in conversations and suggests meals to users based on user input and the results of an emotion engine.

[0889] "Means for extracting data" refers to processes and devices that extract the necessary instructions and information from a program.

[0890] "Means of providing dialogue and support" refers to the function of the generative AI to communicate with the user using voice or text.

[0891] "Means of making meal suggestions and advice" refers to the function whereby the generative AI provides meal recommendations and advice based on the user's emotional state and requests.

[0892] "Means for linking with a delivery service" refers to the function whereby the server communicates with a delivery service, processes the user's order information, and carries out the actual delivery procedure.

[0893] "Virtual reality space" refers to a digital simulation space where a user can enjoy a restaurant experience in a virtual environment.

[0894] This invention is a system that provides a restaurant experience in a virtual reality space, which starts with user input, and provides a personalized experience to the user through emotion recognition, suggestions by generative AI, and linkage with delivery services. This system includes the following elements.

[0895] 1. Program Generation

[0896] The server receives the user's input and generates a program for providing a restaurant experience in a virtual reality space. The program includes a function for recognizing the user's emotions by combining with an emotion engine.

[0897] The server uses development platforms such as Unity (registered trademark) and Unreal Engine (registered trademark) to design a virtual reality space based on the user's requests and generate a program based on that.

[0898] 2. Sending and analyzing the program

[0899] The server sends the generated program to the terminal, which receives it and starts analyzing it.

[0900] The terminal runs a program on the VR headset or PC, extracts instructions and data, and obtains the necessary data. As a specific example, a user wearing a virtual reality headset uses the voice recognition function to send input to a server, and then the terminal receives the program and analyzes it.

[0901] 3. Emotion engine activation and emotion recognition

[0902] The device activates an emotion engine included in the program to estimate the user's emotions, enabling interactions to be tailored to the user's emotions.

[0903] The device uses cameras and sensors to recognize the user's face and perform voice analysis, and an emotion engine uses that data to analyze the user's current mood.

[0904] 4. Meal suggestions and dialogue using generative AI

[0905] The generative AI will provide dialogue and meal suggestions to the user based on the results of the emotion engine. This generative AI will provide personalized meal suggestions and advice, especially for senior users.

[0906] The generative AI will speak to the user via voice, saying something like, "It seems like you'd like to relax today. How about some chamomile tea?"

[0907] 5. Collaboration with delivery services

[0908] The server processes the order information received from the generative AI and connects with the delivery service. At this time, the server also takes into account the results of the emotion engine and processes the order according to the user's emotions.

[0909] The server uses the API of the delivery service to send the appropriate order details to the delivery service. For example, if a user instructs the delivery service, "I would like to order a special dessert today," the server places an order for the special dessert with the delivery service.

[0910] Examples of concrete examples and prompts

[0911] Example: If a user inputs "I want to celebrate at an Italian restaurant," the server designs a virtual reality space of an Italian restaurant and generates a program that incorporates a festive atmosphere.

[0912] Example prompt: "We're hosting a celebratory dinner and want to serve Italian food. Can you give us some suggestions to get our users in the festive mood?"

[0913] In this way, the system of the present invention can seamlessly connect the virtual restaurant experience with real-world services, providing a personalized experience that responds to the user's emotions.

[0914] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0915] Step 1: Accepting user input

[0916] The user inputs specific requests for a restaurant experience in a virtual reality space into the device. Specifically, the user puts on a VR headset and voice-inputs through the interface, "I want to celebrate at an Italian restaurant."

[0917] Input: User's wishes and requests

[0918] Output: Data based on user requests

[0919] Data processing: Voice data is converted into text data using voice recognition technology.

[0920] Step 2: Program Generation

[0921] The server receives the user's input and generates a program to provide a restaurant experience in the virtual reality space. The server uses development platforms such as Unity (registered trademark) and Unreal Engine (registered trademark) to design the virtual space of the Italian restaurant.

[0922] Input: User input (text data)

[0923] Output: Virtual reality experience program

[0924] Data processing: Design a virtual space based on text data and generate a program.

[0925] Step 3: Send and analyze the program

[0926] The server sends the generated program to the terminal, which receives and analyzes the program. Specifically, the terminal reads the program and extracts the necessary data.

[0927] Input: Program data

[0928] Output: Analysis results (required data and instructions)

[0929] Data processing: Analyze program data and extract virtual space layout, menu information, etc.

[0930] Step 4: Emotion engine activation and emotion recognition

[0931] The device activates an emotion engine included in the program to recognize the user's emotions. Specifically, the device uses cameras and sensors to analyze the user's facial expressions and voice, and infers emotions based on that data.

[0932] Input: User's facial expressions and voice data

[0933] Output: Emotion data (user's current emotional state)

[0934] Data processing: Analyze user emotions using facial expression recognition and voice analysis.

[0935] Step 5: Meal suggestions and conversation

[0936] The generative AI will provide meal suggestions and advice to the user based on the results of the emotion engine. Specifically, the AI ​​will suggest via voice, "It seems like you want to relax today. How about some chamomile tea?"

[0937] Input: Emotion data

[0938] Output: Suggestions (dietary suggestions and advice)

[0939] Data processing: Providing dietary information based on sentiment data and generating personalized suggestions.

[0940] Step 6: Place your order with the delivery service

[0941] The server processes the order information received from the generative AI and connects with the delivery service. Specifically, the server uses the delivery service's API to complete the order process.

[0942] Input: Order information

[0943] Output: Notification of completion of delivery procedure

[0944] Data processing: Based on the order information, the order is processed for the delivery service and confirmation information is obtained. (Application example 2)

[0945] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server", and the headset type terminal 314 will be referred to as a "terminal".

[0946] Conventional food delivery services only suggest uniform menus to users, making it difficult to provide flexible meal suggestions based on the emotional state and individual preferences of each individual user. In addition, restaurant experiences in virtual reality spaces lacked coordination with actual delivery services and could not be directly linked to real-world experiences. This has led to a demand for ways to improve user satisfaction and the quality of experiences.

[0947] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to operate as a sommelier or a waiter in the virtual reality space, a means for the generative AI to acquire information from a food database and provide food information and advice to the user, a means for processing actual delivery arrangements in cooperation with a delivery service, a means for a terminal to analyze an emotion recognition program and estimate the user's emotions, and a means for the generative AI to make meal suggestions based on the results of the emotion engine. This makes it possible to provide personalized meal suggestions and advice based on the user's emotional state, and to link the experience in the virtual reality space with a real delivery service.

[0948] A "virtual reality space" is a synthesized digital environment in which users can experience things differently from the real world through sight, hearing, touch, and other senses.

[0949] A "means for generating a program" refers to the ability of a computer system to assemble a series of instructions to accomplish a specific purpose.

[0950] "Generative AI" is artificial intelligence that uses machine learning algorithms to automatically create new information and suggestions based on input data.

[0951] An "emotion engine" is software or a system that analyzes data such as a user's facial expressions and voice and infers their psychological state.

[0952] "Delivery service" refers to a service that delivers ordered products to a specified location.

[0953] An "emotion recognition program" is software that identifies a user's emotional state based on data input by the user.

[0954] A "meal database" is a data store that collects and manages information about various dishes and ingredients.

[0955] The present invention relates to a system for providing a restaurant experience in a virtual reality space, which recognizes the user's emotions, provides meal suggestions and advice corresponding to the emotions, and further cooperates with a delivery service in the real world. Specific embodiments for carrying out the present invention are described below.

[0956] First, a program for providing a restaurant experience in a virtual reality space is generated by a server. This program is configured so that a user can wear a VR headset and enter a virtual restaurant. Specifically, the user accesses the virtual space using a smartphone or a dedicated VR device.

[0957] The device then captures the user's facial expressions through the camera and uses an emotion recognition program to infer emotions using emotion models based on TensorFlow® and Keras®. The emotion engine analyzes the user's current emotional state (e.g., happy, sad, neutral, angry) from the captured facial expression data.

[0958] The generative AI then uses the results of the emotion engine to suggest meals that are suitable for the user. For example, if the user is recognized as being in a "happy" emotional state, the generative AI model will generate a prompt such as "What meal would you recommend when you're feeling happy?" and suggest an appropriate meal. This process is specifically performed using OpenAI (registered trademark) or a similar advanced AI model.

[0959] Once the user selects a meal, the suggested meal is automatically ordered through the delivery service. The server processes the order information received from the generative AI and coordinates with the delivery service, allowing the user to receive the meal in the real world while continuing the VR experience.

[0960] As a concrete example, the following prompt might be generated:

[0961] "What food do you recommend when you're feeling happy?"

[0962] Based on this prompt, a generative AI model would suggest meals, and a delivery service would deliver those meals to the user.

[0963] In this way, the present invention provides personalized meal suggestions based on the user's emotional state, allowing for a link between the virtual reality experience and real-world delivery services, resulting in a richer and more satisfying user experience.

[0964] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0965] Step 1:

[0966] The server generates a program that provides a restaurant experience in a virtual reality space. Specifically, it uses dedicated software to build a 3D environment that users can access with a VR headset or smartphone. At this stage, the initial settings are made for the user to enter the virtual space. The input is the user's login information, and the output is the program data for the virtual restaurant experience.

[0967] Step 2:

[0968] The terminal provides an interface for the user to access the virtual reality space. The user wears a VR headset and the terminal displays the virtual restaurant experience, where the input is the program data from the server and the output is the virtual reality space displayed to the user.

[0969] Step 3:

[0970] The device uses a camera to capture the user's facial expressions and inputs the data into an emotion recognition program. The emotion recognition program uses a model trained with TensorFlow® and Keras® to infer emotions from the user's facial expression data. The input is the image data of the user's face, and the output is an inferred emotional state (e.g., happy, sad, neutral, angry).

[0971] Step 4:

[0972] The server receives the emotion recognition results and generates a prompt for the generative AI based on them. For example, if the user's emotion is recognized as "happy," it generates a prompt: "What is the recommended meal when you are feeling happy?" The input is the emotion recognition result, and the output is the generated prompt.

[0973] Step 5:

[0974] The generative AI model receives the prompt sentence and generates meal suggestions based on it. The AI ​​model used here is, for example, ChatGPT by OpenAI (registered trademark). The input is the generated prompt sentence, and the output is the suggested meal information. Specifically, the AI ​​model pulls information from a meal database and suggests meals suitable for the user.

[0975] Step 6:

[0976] The terminal displays meal suggestions to the user, and the user selects a suggested meal. After the user selects a meal, the selection information is sent to the server. The input is the meal suggestions from the generative AI, and the output is the user's selection information.

[0977] Step 7:

[0978] The server processes the selection information received from the generative AI and sends the order information to the delivery service. The server confirms the order and arranges for delivery. The input is the user's selection information (e.g., meal menu, address), and the output is the order information sent to the delivery service.

[0979] Step 8:

[0980] The delivery service performs the actual delivery procedure based on the order information. The meal is delivered to the specified address. The input is the order information from the server, and the output is the result that the meal is delivered to the user.

[0981] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input for the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0982] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generative AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0983] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[0984] [Fourth embodiment]

[0985] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0986] 7, a 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.

[0987] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN).

[0988] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. In addition, the microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0989] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0990] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0991] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0992] The control target 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, legs, etc. The posture and behavior of the robot 414 are controlled by controlling the motors of the arms, hands, legs, etc. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0993] Fig. 8 shows an example of main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0994] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0995] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0996] In the robot 414, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0997] Next, a description will be given of the specific processing by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal".

[0998] The embodiment for carrying out the present invention comprises the following elements.

[0999] 1. Server: Generates programs to provide a restaurant experience in a virtual reality space.

[1000] The server receives user input and generates a program to realize a restaurant experience in a virtual reality space. The program includes the behavior of the generative AI and information from the food database.

[1001] 2. Terminal: Provides a restaurant experience in a virtual reality space.

[1002] The device analyzes the program received from the server, extracts the necessary data and instructions, and activates the generative AI to act as a sommelier or waiter in the virtual reality space.

[1003] 3. Generative AI: Providing dietary information and advice to seniors.

[1004] The generative AI retrieves information from the food database and provides seniors with information about food, such as producer information, nutritional balance, food combinations, and meal times. It also provides advice on the order of eating, eating posture, and eating speed to assist and practice eating. For example, when a user eats at a restaurant in a virtual reality space, the user asks the generative AI, "What is the recommended menu?" The generative AI retrieves information from the food database and suggests the best menu for the user. For example, the generative AI replies, "Today's recommendation is seafood pasta made with fresh seafood. It is well-balanced in nutrition and delicious." In addition, when the user eats, the generative AI provides advice. For example, the generative AI teaches, "Before eating, first adjust your posture to hold your chopsticks. Then, eat little by little. It is important to eat slowly and savor the taste."

[1005] 4. Collaboration with delivery services: Place an order for actual delivery.

[1006] The server processes the order information received from the generative AI and connects with the delivery service, arranging the order details and delivery destination, and carrying out the actual delivery.

[1007] In this way, the server generates a program, the terminal receives the program, and a restaurant experience is provided in a virtual reality space. The generative AI provides dining information and advice to seniors.

[1008] Chairs will be provided and actual delivery will be made through collaboration with delivery services, allowing even seniors who find it difficult to go out to enjoy a restaurant experience.

[1009] The process flow will be explained below.

[1010] Step 1: The server generates the program.

[1011] The server receives input from the user and generates a program to realize a restaurant experience in a virtual reality space.

[1012] The server retrieves and programs information from the appropriate meal database based on the user's requests and selections.

[1013] Step 2: The server sends the program to the terminal.

[1014] The server transmits the generated program to the terminal.

[1015] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[1016] Step 3: The device launches the generative AI.

[1017] The terminal launches the generative AI included in the program.

[1018] The generative AI acts as a sommelier or waiter within a virtual reality space.

[1019] Step 4: The user begins the restaurant experience in the virtual reality space.

[1020] The user uses the terminal to enter the virtual reality space and begin the restaurant experience.

[1021] The generative AI speaks to the user in a cheerful manner, providing information and advice on diet.

[1022] Step 5: The user orders a meal.

[1023] Users order food from a generative AI within a virtual reality space.

[1024] The generative AI receives the order information and sends it to the server.

[1025] Step 6: The server coordinates with the delivery service.

[1026] The server processes the order information received from the generative AI and coordinates with the delivery service.

[1027] The server communicates the order details and delivery address to the delivery service and arranges for the actual delivery.

[1028] Through the above processing steps, the server generates a program and sends it to the terminal. The terminal analyzes the program and activates the generative AI to provide a restaurant experience in the virtual reality space. The user places a meal order through the generative AI, and the server coordinates with a delivery service to arrange for the actual delivery. This allows the user to not only enjoy a restaurant experience in the virtual reality space, but also receive the actual delivery of the meal. Example 1

[1029] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the robot 414 is referred to as a "terminal."

[1030] Conventional restaurant experiences in virtual reality spaces were limited to visual and auditory experiences, making it difficult to accompany actual meals. In addition, there was a need for a system that could provide nutritional information and advice on how to eat meals, especially for seniors. Furthermore, it was not possible to link actual delivery orders with the virtual reality experience, resulting in low user convenience.

[1031] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1032] In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to act as a sommelier or a waiter in the virtual reality space, a means for the generative AI to obtain information from a food database and provide food information and advice to a user, a means for a user to ask a question to the generative AI in the virtual reality space and for the generative AI to generate an answer based on the question, and a means for arranging actual delivery in cooperation with a delivery service. This allows a user to enjoy a restaurant experience in the virtual reality space while having an actual meal delivered, and allows seniors in particular to receive information and advice about meals.

[1033] "Virtual reality space" refers to a digital three-dimensional space that appears real and is created by a computer.

[1034] A "restaurant experience" refers to a user entering a virtual restaurant in a virtual reality space and enjoying food and services.

[1035] "Means for generating a program" refers to a technology for automatically creating a program including necessary information and functions based on user input and requests.

[1036] "Generative AI" refers to a system that uses artificial intelligence technology to interact with users, provide them with information, and give them advice.

[1037] "Means of acting as a sommelier or waiter" refers to the function of a generative AI to act as a sommelier or waiter within a virtual reality space and provide service to the user.

[1038] A "meal database" refers to a database that stores information about various meals.

[1039] "Means of providing information and advice" refers to the function of the generative AI to provide the user with information and advice regarding food based on the information it obtains from the food database.

[1040] "A means of asking a question and having a generative AI generate an answer based on that question" refers to the function in which a user asks a question to a generative AI and it generates an appropriate answer to that question.

[1041] "Delivery service" means a service that delivers food and beverages to a specified location based on an order.

[1042] "Means of processing delivery arrangements" refers to the function that performs processing to place an actual delivery order based on the order information received by the generative AI.

[1043] The embodiment for carrying out the present invention comprises the following elements: Specific hardware and software settings and operations will be described below.

[1044] server

[1045] The server is responsible for generating programs to provide a restaurant experience in a virtual reality space. The server uses a physical server or a cloud server (e.g., an EC2 instance of Amazon Web Services (registered trademark)) equipped with a high-performance CPU and GPU. The server software executes a web application or an API built with Python (registered trademark) or Java (registered trademark). The server receives user input and generates multiple programs for the virtual reality space based on the input.

[1046] Terminal

[1047] The terminal has the role of providing a restaurant experience in a virtual reality space. The terminal uses a VR device (e.g., Oculus Quest (registered trademark)) or a high-performance PC. The terminal analyzes the program received from the server and extracts the necessary data and instructions. The terminal uses a game engine such as Unity (registered trademark) or Unreal Engine (registered trademark) to render the virtual reality space, providing the user with a restaurant experience close to reality.

[1048] Generative AI

[1049] The generative AI has the role of providing dietary information and advice to users. The generative AI acquires information from a dietary database (e.g., MySQL or MongoDB (registered trademark)) and provides users with information such as producer information, nutritional balance, and meal times. Natural language processing models such as ChatGPT are used for the generative AI. The generative AI generates appropriate answers to users' questions.

[1050] Collaboration with delivery services

[1051] The server processes the order information received from the generative AI and connects with delivery services (e.g. Uber Eats and Demae-can). The server transfers the order details and delivery address information to the delivery service and arranges for the actual delivery. This allows the meal experienced in the virtual reality space to be delivered to the user.

[1052] Examples

[1053] The user puts on a VR headset and enters a restaurant in a virtual reality space. The device executes the program received from the server, and the generative AI appears as a virtual waiter.

[1054] For example, if a user asks the generative AI, "What is your recommended menu item?", the generative AI will retrieve information from the food database and respond, "Today's recommendation is seafood pasta made with fresh seafood." Next, if the user says, "I'd like to order seafood pasta," the generative AI will forward the order to the server, which will then send the order to the delivery service.

[1055] Examples of prompt statements

[1056] "What's on the menu?"

[1057] Could you please tell me about the nutritional content of this menu?

[1058] "What's the best way to eat it?"

[1059] This invention allows users to enjoy a restaurant experience in a virtual reality space while having real food delivered to them. In addition, generative AI can provide useful information and advice on meals, especially for seniors.

[1060] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1061] Step 1:

[1062] A user accesses the system

[1063] Input: Internet connected device, system URL

[1064] Specific operation: A user accesses the system by opening a browser and entering the system's URL.

[1065] Output: User access request

[1066] Step 2:

[1067] The server receives the user's input

[1068] Input: User's access request, login information (ID, password)

[1069] Specific operation: The server receives a user's access request and authenticates the login information against a database, for example, by referencing an authentication database using PostgreSQL (registered trademark).

[1070] Output: User authentication result, user profile data

[1071] Step 3:

[1072] The server generates the program for the virtual reality space.

[1073] Input: User profile data, authentication results

[1074] Specific operation: The server generates multiple programs for the virtual reality space based on the profile data. The programs include interface data, environmental data, food data, and generative AI operation scripts. The server uses applications built with Python (registered trademark) and Java (registered trademark).

[1075] Output: The generated program

[1076] Step 4:

[1077] The terminal receives and analyzes the program

[1078] Input: The generated program

[1079] Specific operation: The terminal analyzes the program received from the server and extracts the necessary data and instructions. It uses JavaScript (registered trademark) or Python (registered trademark) scripts to analyze portable code files (e.g. JSON).

[1080] Output: Extracted data (interface information, environment data, generative AI scripts)

[1081] Step 5:

[1082] The device renders the virtual reality space

[1083] Input: Extracted data

[1084] Specific operation: The device renders a virtual reality space using Unity (registered trademark) or Unreal Engine (registered trademark). A VR device (e.g., Oculus Quest (registered trademark)) is used to provide the user with a realistic restaurant experience.

[1085] Output: The virtual reality space displayed to the user.

[1086] Step 6:

[1087] Generative AI begins to work

[1088] Input: Virtual reality interface information, environment data, behavior scripts

[1089] Specific operation: The generative AI connects to a food database (such as MySQL or MongoDB®) and starts working as a sommelier or waiter in the virtual reality space. For example, it queries the database via an API using a Python® script.

[1090] Output: Greeting message to the user, service start

[1091] Step 7:

[1092] The user asks the generative AI a question

[1093] Input: A voice or text question (e.g., "What's on the menu?")

[1094] Specific operation: The user asks a question to the generative AI in the virtual reality space. If there is voice input, it is converted to text via voice recognition software (e.g. Google Speech-to-Text).

[1095] Output: Question data for generative AI

[1096] Step 8:

[1097] Generative AI retrieves information from a food database and responds

[1098] Input: User question data, food database

[1099] Specific operation: The generative AI analyzes the question data and retrieves relevant information from the food database. For example, it executes an SQL query to retrieve the required information. Based on the retrieved information, it generates an answer using a natural language processing model such as ChatGPT.

[1100] Output: Answer to the user

[1101] Step 9:

[1102] User places an order

[1103] Input: Generative AI answer (e.g. "Today's recommendation is seafood pasta")

[1104] Specific operation: The user decides on a menu and tells the generative AI, "I'll order seafood pasta." If there is voice input, it is converted to text via voice recognition software.

[1105] Output: Order data

[1106] Step 10:

[1107] The server forwards the order information to the delivery service.

[1108] Input: Order data from generative AI

[1109] Specific operation: The server processes the order data received from the generative AI and forwards it to the delivery service. For example, it sends the order information to the delivery service API using an HTTP request.

[1110] Output: An order request to a delivery service

[1111] Step 11:

[1112] A delivery service delivers the order

[1113] Input: Order request from server, delivery address information

[1114] What it does: The delivery service verifies the order, prepares the food, and delivers it to the specified address, including a system for tracking the delivery.

[1115] Output: Delivery completion notification to the user (Application example 1)

[1116] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1117] In conventional systems, it was difficult for seniors and others who have difficulty going out to enjoy a high-quality restaurant experience in a virtual reality space. In addition, the lack of seamless integration between the experience in the virtual reality space and the actual food delivery service made it impossible to improve the user experience. Another issue was the lack of technology to provide visual information in the virtual reality space using smart glasses and recommend menus based on individual health conditions and food preferences.

[1118] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1119] In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to operate as a restaurant staff member in the virtual reality space, a means for the generative AI to obtain information from a food database and provide food information and advice to a user, a means for arranging delivery in the real world by linking with a delivery service, a means for visually providing information in the virtual reality space using smart glasses, and a means for the generative AI to recommend a menu that takes into account the user's food preferences and health condition. This allows a user to enjoy a high-quality restaurant experience in a virtual reality space while at home, and a seamless experience in which the food ordered on the spot is delivered in the real world. Furthermore, visual information is provided through the smart glasses, and menu recommendations based on individual health conditions and food preferences can be received.

[1120] "Virtual reality space" refers to an imaginary three-dimensional space that humans can experience using computer graphics and sensor technology.

[1121] A "restaurant experience" refers to the series of actions and services involved in ordering food in a restaurant and eating the food that is served to you.

[1122] "Generative AI" is a type of artificial intelligence that refers to systems equipped with algorithms that generate appropriate information or advice based on specific input.

[1123] "Meal database" refers to a collection of data comprising food types, nutritional content, calories and other meal-related information.

[1124] "User" refers to an individual who uses this system to experience restaurants in a virtual reality space.

[1125] "Delivery service" refers to a service that delivers ordered meals to a specified location.

[1126] "Smart glasses" refers to a wearable device that has a built-in display and provides users with a combination of real-world and virtual information.

[1127] "Program" refers to a collection of instructions for performing a specific task or purpose, and refers to software necessary for the system to operate within the virtual reality space.

[1128] "Staff" refers to the people or systems that provide services in restaurants, such as sommeliers and waiters.

[1129] "Health status" refers to an individual's current physical condition and medical situation, and is a concept that includes factors that affect food preferences and nutritional balance.

[1130] "Menu recommendation" refers to the act of suggesting the most suitable dish taking into consideration the user's preferences and health condition.

[1131] "Visual information" refers to information such as images and videos that are provided to a user through a display or projection.

[1132] "Delivery arrangements" refers to the procedures for delivering food ordered by a restaurant or the system to a specified location.

[1133] The system and program for implementing the present invention are comprised of the following components.

[1134] 1. Server:

[1135] A program that provides a restaurant experience in a virtual reality space is generated. Specifically, the server receives user input and generates code for constructing a simulation in the virtual reality space. This program includes elements that the user can visually operate in the virtual reality space, menu display, and staff movement simulation.

[1136] The server also manages a food database and provides the data used by the generative AI, including information on food types, nutritional content, calories, etc.

[1137] 2. Terminal (smart glasses):

[1138] Users can wear smart glasses (e.g., Oculus Quest (registered trademark), Hololens (registered trademark)) and enter the virtual reality space. The terminal analyzes the program received from the server and supports operations within the virtual reality space. This allows users to visually enjoy the experience of being in a virtual restaurant.

[1139] 3. Generative AI:

[1140] The generative AI retrieves information from the food database and provides users with appropriate menu recommendations, dietary information, and advice. For example, if a user asks, "What's on the menu?" the generative AI responds, "Today's recommendation is seafood pasta. It's well-balanced and delicious."

[1141] In addition, generative AI will provide personalized menu recommendations based on the user's health status and food preferences, allowing them to choose the meals that are best suited to them.

[1142] 4. Collaboration with delivery services:

[1143] The server processes the order information received from the generative AI and coordinates with the delivery service to arrange for delivery in the real world, allowing the user to receive the menu item selected in the virtual reality space at their home.

[1144] 5. Example prompt:

[1145] Examples of prompts for generative AI such as ChatGPT include the following:

[1146] Consider the user's dietary preferences and health condition and recommend a balanced dinner menu. The user likes seafood and wants low calories and high nutritional value.

[1147] As a concrete example, if a 60-year-old person A puts on smart glasses and enters the virtual space and asks the generative AI, "What is a healthy dinner you recommend?", the AI ​​will answer, "Today's recommendation is seafood pasta." Person A selects this menu, and an order is sent to a delivery service via the server, and the seafood pasta is delivered to person A's home.

[1148] The system allows customers to enjoy a high-quality virtual reality restaurant experience from the comfort of their own home, with food ordered on the spot and delivered seamlessly to the real world, while providing visual information through smart glasses and menu recommendations based on individual health conditions and dietary preferences.

[1149] The flow of the specific process in the application example 1 will be described with reference to FIG.

[1150] Step 1:

[1151] A user puts on the smart glasses and logs into a restaurant in the virtual reality space. The server receives the user's login information and executes a program to start the experience in the virtual reality space. The input is the user's login information, and the output is a restaurant simulation in the virtual reality space.

[1152] Step 2:

[1153] The server displays the menu in the virtual reality space and allows the user to browse the menu. The user visually receives the menu information through the smart glasses. The input is the menu data on the server side, and the output is the visual menu screen on the user side.

[1154] Step 3:

[1155] The user asks the generative AI a question about food. For example, "What is your recommended menu item?" The device converts the user's voice input into text data. The input is the user's voice information, and the output is text data.

[1156] Step 4:

[1157] Generative AI queries a food database and recommends the best menu to the user. The AI ​​processes the data based on the user's health condition and preferences to extract the best menu. The input is the user's health condition and preference data, and the output is a recommended menu. For example, it makes a suggestion such as, "Today's recommendation is seafood pasta."

[1158] Step 5:

[1159] The user receives menu recommendations from the generative AI and makes a selection. The selected menu is sent to the server. The input is the AI's recommended menu, and the output is the user's selection information.

[1160] Step 6:

[1161] The server generates a delivery service order based on the user's selection information. The generated order information is sent to the delivery service. The input is the menu information selected by the user, and the output is the order information for the delivery service.

[1162] Step 7:

[1163] The delivery service delivers meals to users' homes based on order information received from the server. The input is the delivery order information, and the output is the meal delivery in the real world.

[1164] Step 8:

[1165] The server and the terminal work together to end the experience in the virtual reality space. The user ends the restaurant experience and removes the smart glasses. The input is the user's operation information, and the output is the ending screen in the virtual reality space.

[1166] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1167] The embodiment for carrying out the present invention comprises the following elements.

[1168] 1. Server: Generates programs to provide a restaurant experience in a virtual reality space.

[1169] The server receives the user's input and generates a program for realizing a restaurant experience in the virtual reality space.

[1170] The program includes the ability to recognize the user's emotions through a combination of emotion engines.

[1171] 2. Terminal: Provides a restaurant experience in a virtual reality space.

[1172] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[1173] The emotion engine included in the program is activated to estimate the user's emotions.

[1174] 3. Generative AI: Providing dietary information and advice to seniors.

[1175] The generative AI receives information from the emotion engine and provides dialogue and support tailored to the user's emotions.

[1176] Programmatically, the generative AI will use the results of the emotion engine to provide more personalized dietary suggestions and advice.

[1177] 4. Collaboration with delivery services: Place an order for actual delivery.

[1178] The server processes the order information received from the generative AI and coordinates with the delivery service.

[1179] The program performs ordering procedures with the delivery service while taking into consideration the user's emotional information based on a combination of emotion engines.

[1180] In this way, the server generates the program, and the device analyzes the program to provide a restaurant experience in a virtual reality space. By combining it with an emotion engine, the generative AI can recognize the user's emotions and provide dialogue and meal suggestions that match those emotions. By linking with a delivery service, actual delivery can also be realized. This allows users to receive a restaurant experience that matches their emotions and personalized support.

[1181] The process flow will be explained below.

[1182] Step 1: The server generates the program.

[1183] The server receives the user's input and generates a program to realize a restaurant experience in the virtual reality space.

[1184] The program includes a function for recognizing user emotions through a combination of emotion engines.

[1185] Step 2: The server sends the program to the terminal.

[1186] The server transmits the generated program to the terminal.

[1187] The terminal analyzes the program received from the server and extracts the necessary data and instructions.

[1188] Step 3: The device launches the generative AI and emotion engine.

[1189] The device activates the generative AI and emotion engine included in the program.

[1190] The generative AI acts as a sommelier or waiter in the virtual reality space, and the emotion engine estimates the user's emotions.

[1191] Step 4: The user begins the restaurant experience in the virtual reality space.

[1192] The user uses the terminal to enter the virtual reality space and begin the restaurant experience.

[1193] The generative AI receives the user's emotions from the emotion engine and provides dialogue and support that are tailored to those emotions.

[1194] Step 5: The user orders a meal.

[1195] Users order food from a generative AI within a virtual reality space.

[1196] The generative AI receives the order information and sends it to the server.

[1197] Step 6: The server coordinates with the delivery service.

[1198] The server processes the order information received from the generative AI and coordinates with the delivery service.

[1199] The program performs ordering procedures with the delivery service while taking into consideration the user's emotional information based on a combination of emotion engines.

[1200] Through the above processing steps, the server generates a program and sends it to the terminal. The terminal analyzes the program and activates the generative AI and emotion engine to provide a restaurant experience in a virtual reality space. The user places a meal order through the generative AI, and the server coordinates with a delivery service to arrange for the actual delivery. Through the combination of the emotion engine, the user's emotions are recognized, and the generative AI engages in dialogue and suggests meals that match those emotions. This allows the user to receive a restaurant experience that matches their emotions and personalized support. Example 2

[1201] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the robot 414 is referred to as a "terminal."

[1202] Conventional restaurant experience systems in virtual reality spaces often provide uniform services without considering the user's emotions, and do not adequately respond to individual users. In addition, it is difficult to provide advice appropriate to the user's emotional state when it comes to meal suggestions. Furthermore, there is insufficient integration with real delivery services, and there is an issue that the virtual reality space and the real world experience are not seamlessly connected.

[1203] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1204] In this invention, the server includes a means for receiving a user's input and generating a program for providing a restaurant experience in a virtual reality space, a means for analyzing the program received from the server and extracting necessary data and instructions, a means for activating an emotion engine and recognizing the user's emotion, a means for a generative AI to operate as a sommelier or waiter in the virtual reality space and provide dialogue and support to the user, a means for the generative AI to provide meal information and make meal suggestions and advice to the user, and a means for processing the user's order information and arranging actual delivery in cooperation with a delivery service. This makes it possible to provide a personalized restaurant experience according to the user's emotion and a service that seamlessly connects the virtual reality space and the real world.

[1205] "User input" refers to requests or instructions provided by a user wishing to experience a restaurant in a virtual reality space.

[1206] The term "means for generating a program" refers to a process and device for creating a program for providing an experience in a virtual reality space based on a user's input.

[1207] "Means for analyzing a program" refers to a process and device that decodes a program received from a server and extracts necessary data and instructions.

[1208] "Emotion Engine" refers to a combination of software and hardware for recognizing and analyzing a user's emotions.

[1209] "Generative AI" refers to an artificial intelligence system that engages in conversations and suggests meals to users based on user input and the results of an emotion engine.

[1210] "Means for extracting data" refers to processes and devices that extract the necessary instructions and information from a program.

[1211] "Means of providing dialogue and support" refers to the function of the generative AI to communicate with the user using voice or text.

[1212] "Means of making meal suggestions and advice" refers to the function whereby the generative AI provides meal recommendations and advice based on the user's emotional state and requests.

[1213] "Means for linking with a delivery service" refers to the function whereby the server communicates with a delivery service, processes the user's order information, and carries out the actual delivery procedure.

[1214] "Virtual reality space" refers to a digital simulation space where a user can enjoy a restaurant experience in a virtual environment.

[1215] This invention is a system that provides a restaurant experience in a virtual reality space, which starts with user input, and provides a personalized experience to the user through emotion recognition, suggestions by generative AI, and linkage with delivery services. This system includes the following elements.

[1216] 1. Program Generation

[1217] The server receives the user's input and generates a program for providing a restaurant experience in a virtual reality space. The program includes a function for recognizing the user's emotions by combining with an emotion engine.

[1218] The server uses development platforms such as Unity (registered trademark) and Unreal Engine (registered trademark) to design a virtual reality space based on the user's requests and generate a program based on that.

[1219] 2. Sending and analyzing the program

[1220] The server sends the generated program to the terminal, which receives it and starts analyzing it.

[1221] The terminal runs a program on the VR headset or PC, extracts instructions and data, and obtains the necessary data. As a specific example, a user wearing a virtual reality headset uses the voice recognition function to send input to a server, and then the terminal receives the program and analyzes it.

[1222] 3. Emotion engine activation and emotion recognition

[1223] The device activates an emotion engine included in the program to estimate the user's emotions, enabling interactions to be tailored to the user's emotions.

[1224] The device uses cameras and sensors to recognize the user's face and perform voice analysis, and an emotion engine uses that data to analyze the user's current mood.

[1225] 4. Meal suggestions and dialogue using generative AI

[1226] The generative AI will provide dialogue and meal suggestions to the user based on the results of the emotion engine. This generative AI will provide personalized meal suggestions and advice, especially for senior users.

[1227] The generative AI will speak to the user via voice, saying something like, "It seems like you'd like to relax today. How about some chamomile tea?"

[1228] 5. Collaboration with delivery services

[1229] The server processes the order information received from the generative AI and connects with the delivery service. At this time, the server also takes into account the results of the emotion engine and processes the order according to the user's emotions.

[1230] The server uses the API of the delivery service to send the appropriate order details to the delivery service. For example, if a user instructs the delivery service, "I would like to order a special dessert today," the server places an order for the special dessert with the delivery service.

[1231] Examples of concrete examples and prompts

[1232] Example: If a user inputs "I want to celebrate at an Italian restaurant," the server designs a virtual reality space of an Italian restaurant and generates a program that incorporates a festive atmosphere.

[1233] Example prompt: "We're hosting a celebratory dinner and want to serve Italian food. Can you give us some suggestions to get our users in the festive mood?"

[1234] In this way, the system of the present invention can seamlessly connect the virtual restaurant experience with real-world services, providing a personalized experience that responds to the user's emotions.

[1235] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1236] Step 1: Accepting user input

[1237] The user inputs specific requests for a restaurant experience in a virtual reality space into the device. Specifically, the user puts on a VR headset and voice-inputs through the interface, "I want to celebrate at an Italian restaurant."

[1238] Input: User's wishes and requests

[1239] Output: Data based on user requests

[1240] Data processing: Voice data is converted into text data using voice recognition technology.

[1241] Step 2: Program Generation

[1242] The server receives the user's input and generates a program to provide a restaurant experience in the virtual reality space. The server uses development platforms such as Unity (registered trademark) and Unreal Engine (registered trademark) to design the virtual space of the Italian restaurant.

[1243] Input: User input (text data)

[1244] Output: Virtual reality experience program

[1245] Data processing: Design a virtual space based on text data and generate a program.

[1246] Step 3: Send and analyze the program

[1247] The server sends the generated program to the terminal, which receives and analyzes the program. Specifically, the terminal reads the program and extracts the necessary data.

[1248] Input: Program data

[1249] Output: Analysis results (required data and instructions)

[1250] Data processing: Analyze program data and extract virtual space layout, menu information, etc.

[1251] Step 4: Emotion engine activation and emotion recognition

[1252] The device activates an emotion engine included in the program to recognize the user's emotions. Specifically, the device uses cameras and sensors to analyze the user's facial expressions and voice, and infers emotions based on that data.

[1253] Input: User's facial expressions and voice data

[1254] Output: Emotion data (user's current emotional state)

[1255] Data processing: Analyze user emotions using facial expression recognition and voice analysis.

[1256] Step 5: Meal suggestions and conversation

[1257] The generative AI will provide meal suggestions and advice to the user based on the results of the emotion engine. Specifically, the AI ​​will suggest via voice, "It seems like you want to relax today. How about some chamomile tea?"

[1258] Input: Emotion data

[1259] Output: Suggestions (dietary suggestions and advice)

[1260] Data processing: Providing dietary information based on sentiment data and generating personalized suggestions.

[1261] Step 6: Place your order with the delivery service

[1262] The server processes the order information received from the generative AI and connects with the delivery service. Specifically, the server uses the delivery service's API to complete the order process.

[1263] Input: Order information

[1264] Output: Notification of completion of delivery procedure

[1265] Data processing: Based on the order information, the order is processed for the delivery service and confirmation information is obtained. (Application example 2)

[1266] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal".

[1267] Conventional food delivery services only suggest uniform menus to users, making it difficult to provide flexible meal suggestions based on the emotional state and individual preferences of each individual user. In addition, restaurant experiences in virtual reality spaces lacked coordination with actual delivery services and could not be directly linked to real-world experiences. This has led to a demand for ways to improve user satisfaction and the quality of experiences.

[1268] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes a means for generating a program that provides a restaurant experience in a virtual reality space, a means for a generative AI to operate as a sommelier or a waiter in the virtual reality space, a means for the generative AI to acquire information from a food database and provide food information and advice to the user, a means for processing actual delivery arrangements in cooperation with a delivery service, a means for a terminal to analyze an emotion recognition program and estimate the user's emotions, and a means for the generative AI to make meal suggestions based on the results of the emotion engine. This makes it possible to provide personalized meal suggestions and advice based on the user's emotional state, and to link the experience in the virtual reality space with a real delivery service.

[1269] A "virtual reality space" is a synthesized digital environment in which users can experience things differently from the real world through sight, hearing, touch, and other senses.

[1270] A "means for generating a program" refers to the ability of a computer system to assemble a series of instructions to accomplish a specific purpose.

[1271] "Generative AI" is artificial intelligence that uses machine learning algorithms to automatically create new information and suggestions based on input data.

[1272] An "emotion engine" is software or a system that analyzes data such as a user's facial expressions and voice and infers their psychological state.

[1273] "Delivery service" refers to a service that delivers ordered products to a specified location.

[1274] An "emotion recognition program" is software that identifies a user's emotional state based on data input by the user.

[1275] A "meal database" is a data store that collects and manages information about various dishes and ingredients.

[1276] The present invention relates to a system for providing a restaurant experience in a virtual reality space, which recognizes the user's emotions, provides meal suggestions and advice corresponding to the emotions, and further cooperates with a delivery service in the real world. Specific embodiments for carrying out the present invention are described below.

[1277] First, a program for providing a restaurant experience in a virtual reality space is generated by a server. This program is configured so that a user can wear a VR headset and enter a virtual restaurant. Specifically, the user accesses the virtual space using a smartphone or a dedicated VR device.

[1278] The device then captures the user's facial expressions through the camera and uses an emotion recognition program to infer emotions using emotion models based on TensorFlow® and Keras®. The emotion engine analyzes the user's current emotional state (e.g., happy, sad, neutral, angry) from the captured facial expression data.

[1279] The generative AI then uses the results of the emotion engine to suggest meals that are suitable for the user. For example, if the user is recognized as being in a "happy" emotional state, the generative AI model will generate a prompt such as "What meal would you recommend when you're feeling happy?" and suggest an appropriate meal. This process is specifically performed using OpenAI (registered trademark) or a similar advanced AI model.

[1280] Once the user selects a meal, the suggested meal is automatically ordered through the delivery service. The server processes the order information received from the generative AI and coordinates with the delivery service, allowing the user to receive the meal in the real world while continuing the VR experience.

[1281] As a concrete example, the following prompt might be generated:

[1282] "What food do you recommend when you're feeling happy?"

[1283] Based on this prompt, a generative AI model would suggest meals, and a delivery service would deliver those meals to the user.

[1284] In this way, the present invention provides personalized meal suggestions based on the user's emotional state, allowing for a link between the virtual reality experience and real-world delivery services, resulting in a richer and more satisfying user experience.

[1285] The flow of the specific process in the application example 2 will be described with reference to FIG.

[1286] Step 1:

[1287] The server generates a program that provides a restaurant experience in a virtual reality space. Specifically, it uses dedicated software to build a 3D environment that users can access with a VR headset or smartphone. At this stage, the initial settings are made for the user to enter the virtual space. The input is the user's login information, and the output is the program data for the virtual restaurant experience.

[1288] Step 2:

[1289] The terminal provides an interface for the user to access the virtual reality space. The user wears a VR headset and the terminal displays the virtual restaurant experience, where the input is the program data from the server and the output is the virtual reality space displayed to the user.

[1290] Step 3:

[1291] The device uses a camera to capture the user's facial expressions and inputs the data into an emotion recognition program. The emotion recognition program uses a model trained with TensorFlow® and Keras® to infer emotions from the user's facial expression data. The input is the image data of the user's face, and the output is an inferred emotional state (e.g., happy, sad, neutral, angry).

[1292] Step 4:

[1293] The server receives the emotion recognition results and generates a prompt for the generative AI based on them. For example, if the user's emotion is recognized as "happy," it generates a prompt: "What is the recommended meal when you are feeling happy?" The input is the emotion recognition result, and the output is the generated prompt.

[1294] Step 5:

[1295] The generative AI model receives the prompt sentence and generates meal suggestions based on it. The AI ​​model used here is, for example, ChatGPT by OpenAI (registered trademark). The input is the generated prompt sentence, and the output is the suggested meal information. Specifically, the AI ​​model pulls information from a meal database and suggests meals suitable for the user.

[1296] Step 6:

[1297] The terminal displays meal suggestions to the user, and the user selects a suggested meal. After the user selects a meal, the selection information is sent to the server. The input is the meal suggestions from the generative AI, and the output is the user's selection information.

[1298] Step 7:

[1299] The server processes the selection information received from the generative AI and sends the order information to the delivery service. The server confirms the order and arranges for delivery. The input is the user's selection information (e.g., meal menu, address), and the output is the order information sent to the delivery service.

[1300] Step 8:

[1301] The delivery service performs the actual delivery procedure based on the order information. The meal is delivered to the specified address. The input is the order information from the server, and the output is the result that the meal is delivered to the user.

[1302] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires a voice indicating a user input for the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1303] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generative AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1304] In the above embodiment, an example was given in which the specific process was performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the robot 414.

[1305] The emotion identification model 59 as an emotion engine may determine the emotion of the user according to a specific mapping. Specifically, the emotion identification model 59 may determine the emotion of the user according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the emotion of the robot, and the identification processing unit 290 may perform identification processing using the emotion of the robot.

[1306] FIG. 9 is a diagram showing an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive emotions are arranged. The more outside the concentric circles, the more emotions that represent states and actions that arise from a state of mind are arranged. Emotions are a concept that includes emotions and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions that occur in the brain are arranged. On the right side of the concentric circles, emotions that are generally induced by situational judgment are arranged. On the upper and lower sides of the concentric circles, emotions that are generally generated from reactions that occur in the brain and are induced by situational judgment are arranged. In addition, on the upper side of the concentric circles, emotions of "pleasure" are arranged, and on the lower side, emotions of "discomfort" are arranged. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1307] These emotions are distributed in the 3 o'clock direction of emotion map 400 and usually fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1308] The inside of emotion map 400 represents what is going on inside one's mind, and the outside of emotion map 400 represents behavior, so the further out you go on emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1309] Here, human emotions are based on various balances such as posture and blood sugar level, and when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. Emotions can also be created for robots, cars, motorcycles, etc., based on various balances such as posture and battery level, so that when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. The emotion map may be generated, for example, based on the emotion map of Dr. Mitsuyoshi (Research on speech emotion recognition and emotion brain physiological signal analysis system, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). On the left half of the emotion map, emotions belonging to an area called "reaction" where sensation is dominant are lined up. On the right half of the emotion map, emotions belonging to an area called "situation" where situation recognition is dominant are lined up.

[1310] The emotion map defines two emotions that promote learning. The first is the negative emotion around the middle of "repentance" or "remorse" on the situation side. In other words, this 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 positive emotion around "desire" on the response side. In other words, this is when the robot has positive feelings such as "I want more" or "I want to know more."

[1311] The emotion identification model 59 inputs the user input to a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the emotion of the user. This neural network is pre-trained based on multiple learning data that are combinations of the user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in Fig. 10. Fig. 10 shows an example in which multiple emotions, "relief," "calm," and "encouraging," have similar emotion values.

[1312] Although the system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, the system according to the present disclosure is not necessarily implemented in a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program that runs on a personal computer, or an application that runs on a smartphone or the like. The method according to the present disclosure may be provided to a user in the form of SaaS (Software as a Service).

[1313] In the above embodiment, an example is given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the 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 input data.

[1314] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable computer-readable non-transitory storage medium such as a Universal Serial Bus (USB) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1315] In addition, 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 upon request from the data processing device 12.

[1316] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1317] As the hardware resource for executing the specific process, various processors as shown below can be used. An example of the processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing the specific process by executing software, i.e., a program. Another example of the processor is a dedicated electric circuit, which is a processor having a circuit configuration designed exclusively for executing the specific process, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), or an Application Specific Integrated Circuit (ASIC). Each processor has a built-in or connected memory, and each processor executes the specific process by using the memory.

[1318] The hardware resource that executes the specific process may be one of these various processors, or may be a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[1319] As an example of a configuration using one processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a configuration using a processor that realizes the functions of the entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1320] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. The specific processes described above are merely examples. It goes without saying that unnecessary steps may be deleted, new steps may be added, or the order of processes may be changed without departing from the spirit of the invention.

[1321] The above description and illustrations are detailed descriptions of the parts related to the technology of the present disclosure, and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, function, action, and effect is an example of the configuration, function, action, and effect of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above description and illustrations, within the scope of the gist of the technology of the present disclosure. In addition, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the above description and illustrations omit explanations of technical common sense that do not require explanation in order to enable the implementation of the technology of the present disclosure.

[1322] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, and standard was specifically and individually indicated to be incorporated by reference.

[1323] The following is further disclosed regarding the above embodiment.

[1324] (Claim 1) A means for generating a program for providing a restaurant experience in a virtual reality space; A means for generative AI to act as a sommelier or waiter in a virtual reality space, A means for the generative AI to obtain information from a food database and provide food information and advice to a user; A means to handle the actual delivery arrangements by linking with a delivery service; A system including:

[1325] (Claim 2) The system according to claim 1, further comprising a means for processing order information received by a server from the generative AI and arranging for delivery.

[1326] (Claim 3) The system of claim 1, further comprising a means for the generative AI to provide dietary advice to the user and instruct the user on the order in which to eat and the eating posture.

[1327] (Claim 4) a means for combining an emotion engine for estimating the emotion of the user; The emotion engine includes a means for analyzing the user's facial expression, tone of voice, etc., and estimating the emotion of the user; The generative AI is a means for obtaining information from the emotion engine and providing dialogue, support, dietary suggestions, and advice tailored to the user's emotions; 2. The system of claim 1, comprising: "Example 1"

[1328] (Claim 1) A means for generating a program for providing a restaurant experience in a virtual reality space; A means for generative AI to act as a sommelier or waiter in a virtual reality space, A means for the generative AI to obtain information from a food database and provide food information and advice to a user; A means for a user to ask a question to the generative AI in a virtual reality space, and for the generative AI to generate an answer based on the question; A means to handle the actual delivery arrangements by linking with a delivery service; A system including:

[1329] (Claim 2) The system according to claim 1, further comprising a means for processing order information received from the generative AI by a server and arranging for delivery.

[1330] (Claim 3) The system according to claim 1, further comprising a means for the generative AI to provide dietary advice to the user and instruct the user on the order in which to eat and the posture at which to eat. "Application example 1"

[1331] (Claim 1) A means for generating a program for providing a restaurant experience in a virtual reality space; A means for the generative AI to act as a restaurant staff member in a virtual reality space; A means for the generative AI to obtain information from a food database and provide food information and advice to a user; A means to handle real-world delivery arrangements through integration with delivery services; A means for visually providing information in a virtual reality space using smart glasses; A means for the generative AI to recommend a menu taking into consideration the user's dietary preferences and health condition; A system including:

[1332] (Claim 2) The system according to claim 1, further comprising a server for processing order information received from the generation AI and arranging for delivery.

[1333] (Claim 3) The system of claim 1, further comprising a means for the generative AI to provide dietary advice to the user and instruct them on eating order and posture. "Example 2 of combining emotion engines"

[1334] (Claim 1) means for receiving user input and generating a program for providing a restaurant experience in a virtual reality space; A means for analyzing the program received from the server and extracting necessary data and instructions; means for activating an emotion engine and recognizing an emotion of a user; A means for generative AI to act as a sommelier or waiter in a virtual reality space and provide dialogue and support to users, A means for the generative AI to provide meal information and make meal suggestions and advice to the user; A means for processing user order information and arranging actual delivery in cooperation with a delivery service; A system including:

[1335] (Claim 2) The system according to claim 1, wherein the server arranges delivery based on the emotion information received from the generative AI.

[1336] (Claim 3) 2. The system of claim 1, wherein the generative AI provides personalized dietary advice based on the user's emotions. "Application example 2 when combining emotion engines"

[1337] (Claim 1) A means for generating a program for providing a restaurant experience in a virtual reality space; A means for generative AI to act as a sommelier or waiter in a virtual reality space, A means for the generative AI to obtain information from a food database and provide food information and advice to a user; A means to handle the actual delivery arrangements by linking with a delivery service; A means for the terminal to analyze the emotion recognition program and estimate the emotion of the user; A means for generative AI to make meal suggestions based on the results of the emotion engine, and A system including:

[1338] (Claim 2) The system according to claim 1, further comprising a means for processing order information received from the generative AI by a server and arranging for delivery.

[1339] (Claim 3) The system according to claim 1, further comprising a means for the generative AI to provide dietary advice to the user and instruct the user on the order in which to eat and the posture at which to eat. [Explanation of symbols]

[1340] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for executing a program that provides a user with a restaurant experience in a virtual reality space; A means for a generative AI to assume the role of a sommelier or a waiter in the virtual reality space and provide a service to the user; A means for the generative AI to recommend a menu taking into consideration the user's dietary preferences and health condition; A means for the user to ask a question to the generative AI in the virtual reality space, and for the generative AI to generate an answer based on the question; A means for acquiring information related to the menu recommended by the generating AI from a food database, and providing the user with food information, advice, and the generated answer; A means for processing delivery arrangements for the menu in cooperation with a delivery service; A system including:

2. The system according to claim 1 , wherein the means for processing delivery arrangements processes order information received from the generative AI based on the user's order and makes arrangements for the delivery.

3. A means for instructing the user on an eating order and eating posture when the generative AI provides the user with the dietary advice; The system of claim 1 further comprising:

4. A means for analyzing the user's facial expression and tone of voice by an emotion engine to estimate the emotion of the user; The generative AI is a means for acquiring information from the emotion engine and providing at least one of dialogue, support, meal suggestions, and advice that are tailored to the user's emotions; The system of claim 1 further comprising:

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