System

Abstract

A system is provided.SOLUTION: A system comprising: avatar generation means; action generation means; conversation generation means; virtual environment generation means; means for a user to ask a question about a product; means for responding to the question; and means for purchasing the product on the spot.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In traditional shopping experiences, users are limited by the timing of when a specific influencer introduces a product, making it difficult to obtain product information or have questions answered 24 hours a day. Furthermore, when users ask detailed questions about a specific product, responses are often delayed, which can lead to lower satisfaction. Furthermore, it is difficult to enjoy a real-time shopping experience similar to that of a brick-and-mortar store from the comfort of your own home. [Means for solving the problem]

[0005] The present invention enables users to enjoy interactive shopping 24 hours a day, 365 days a year through a system that includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for users to ask questions about products, a means for responding to those questions, and a means for purchasing products on the spot. Specifically, the system generates an avatar based on the user's preferred appearance features, and generates and displays the avatar's actions when introducing products, providing users with an experience similar to shopping in a physical store. The system also provides a function that uses a generation AI to answer users' questions in real time and allows them to purchase products on the spot. This aims to improve the satisfaction of the user's shopping experience.

[0006] "Avatar generation means" is a technology that generates a virtual appearance based on the user's preferences and specifications.

[0007] The "motion generation means" is a technology that allows a virtual avatar to introduce a product or generate a motion according to a user's instructions.

[0008] The "conversation generation means" is a technology that generates conversation content in real time to realize natural dialogue between a user and a virtual influencer.

[0009] The "virtual environment generating means" is a technology for generating a virtual store environment for introducing and selling products.

[0010] The "means for users to ask questions about products" refers to an interface that allows users to input doubts or questions about specific products, and the technology for processing such questions.

[0011] The "means for responding to the question" is a technology that generates an appropriate answer to a question from a user and responds through a virtual influencer.

[0012] "Means for purchasing products on the spot" refers to technology for carrying out purchasing procedures and settlement so that users can instantly purchase products they like. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram illustrating a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0014] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0017] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0018] 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.

[0019] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] 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.

[0026] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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.

[0027] 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 (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0031] 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.

[0032] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output 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.

[0033] Next, a description will be given of the specific processing performed 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 smart device 14 will be referred to as a "terminal."

[0034] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and is configured as follows as a specific embodiment.

[0035] Overall system configuration

[0036] This system consists of a user's device, a server, and a generation AI. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, and uses the generation AI to generate the avatar, movements, conversations, and virtual environment.

[0037] Creating and Managing User Accounts

[0038] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[0039] Avatar generation

[0040] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generative AI to generate an avatar based on these characteristics and sends the data to the device. The device then displays the generated avatar to the user.

[0041] Starting a Live Session

[0042] When a user requests to start a live session, the device sends the request to the server, which uses generative AI to generate a virtual environment and transmits the environment data to the device, which then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0043] Product Introduction

[0044] The server generates a product list based on the user's past interests and purchase history. This product list is then presented by a virtual influencer in the generated virtual environment. The virtual influencer then explains the selected products to the user and introduces their features in detail.

[0045] Interactive Question and Answering

[0046] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI to generate the best possible answers to those questions in real time. The virtual influencer then provides the generated answers to the users.

[0047] Real-time product purchases

[0048] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0049] Specific examples

[0050] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then starts showcasing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" and the virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The user then purchases the case they like and instantly completes the payment.

[0051] The system of the present invention allows users to purchase products with a high degree of satisfaction, without being restricted by time or place.

[0052] The processing flow will be explained below.

[0053] Step 1:

[0054] A user accesses the platform and creates an account by entering their name, email address, and password.

[0055] Step 2:

[0056] The device sends the user's input in JSON format to the server.

[0057] Step 3:

[0058] The server verifies the received user information and stores it in a database.

[0059] Step 4:

[0060] The server sends a response to the terminal indicating that the account creation has been completed.

[0061] Step 5:

[0062] The device will display a message to the user confirming account creation.

[0063] Step 6:

[0064] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.).

[0065] Step 7:

[0066] The device sends customization information in JSON format to the server.

[0067] Step 8:

[0068] The server passes customization information to the generation AI and requests it to generate an avatar.

[0069] Step 9:

[0070] The generation AI generates an avatar based on the customization information and returns the data to the server.

[0071] Step 10:

[0072] The server sends the generated avatar data to the device.

[0073] Step 11:

[0074] The terminal displays the generated avatar to the user.

[0075] Step 12:

[0076] The user clicks the Start Live Session button.

[0077] Step 13:

[0078] The terminal sends a live session request to the server.

[0079] Step 14:

[0080] The server requests the generation AI to generate a virtual store environment and sends the data to the terminal.

[0081] Step 15:

[0082] The terminal displays the generated virtual store environment to the user and initiates the operation of the virtual influencer.

[0083] Step 16:

[0084] The server generates a product list based on the user's past interests and purchasing history.

[0085] Step 17:

[0086] The server passes the generated product list to the virtual influencer.

[0087] Step 18:

[0088] The virtual influencer introduces selected products based on the product list to the user.

[0089] Step 19:

[0090] The user types a question about the product into the chat box.

[0091] Step 20:

[0092] The terminal sends the user's question to the server.

[0093] Step 21:

[0094] The server passes the question to the generation AI, which then generates an appropriate answer.

[0095] Step 22:

[0096] The generative AI generates the best answer to the question and returns that data to the server.

[0097] Step 23:

[0098] The server sends the generated response to the terminal.

[0099] Step 24:

[0100] The device displays the answers provided by the virtual influencers to the user.

[0101] Step 25:

[0102] The user clicks the purchase button to purchase the product they like.

[0103] Step 26:

[0104] The terminal sends the purchase request and payment information to the server.

[0105] Step 27:

[0106] The server verifies the payment information and processes the purchase.

[0107] Step 28:

[0108] The server sends a notification of purchase completion to the device.

[0109] Step 29:

[0110] The terminal displays a purchase completion message to the user.

[0111] Example 1

[0112] 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 smart device 14 will be referred to as a "terminal."

[0113] In conventional online shopping systems, the process of users selecting, asking questions about, and purchasing products is complicated, making it difficult to carry out this process efficiently in real time, 24 hours a day, 365 days a year. Another issue is that users often have to spend a lot of time resolving questions about products, which can slow down the process of making a purchase decision. There was a need to solve these problems and improve convenience and user satisfaction.

[0114] 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.

[0115] In this invention, the server includes an account creation means, an avatar generation means, a virtual environment generation means, a means for generating a product list based on the user's past interests and purchase history, a means for the user to ask questions about products, a means for responding to the questions, and a means for purchasing products on the spot. This allows users to customize their avatars based on their preferences, receive responses to their questions in real time, and efficiently purchase products 24 hours a day, 365 days a year.

[0116] Below are definitions of important words.

[0117] The "account creation means" is a function that allows a user to create an account by entering information such as name, email address, and password, and then send that information to the server and store it in a database.

[0118] The "avatar generation means" is a function that allows a user to input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.), generate an avatar based on that information using a generative AI model, and display that data to the user.

[0119] The "virtual environment generation means" is a function that generates a virtual environment using a generative AI model based on a user request and displays that data to the user.

[0120] "Means for generating a product list based on the user's past interests and purchase history" is a function in which the server generates a product list that is optimal for the user based on the user's past purchase history and interests stored in the database.

[0121] The "means for users to ask questions about products" is an interface function that allows users to input questions about products in which they are interested and send those questions to the server.

[0122] The "means for responding to the question" is a function that uses a generative AI model to generate the optimal answer to the question received by the server and provides that answer to the user.

[0123] The "means for purchasing a product on the spot" is a function that allows a user to decide to purchase a product, transmit a purchase request and payment information to the server, and then process the purchase and notify the user of its completion.

[0124] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and is configured as follows as a specific embodiment.

[0125] Overall system configuration

[0126] This system consists of a user's device (smartphone, PC, etc.), a server, and a generative AI model. Users create an account using their own device, generate an avatar, and start a live session. The server responds to user requests in real time, using the generative AI model to generate avatars, movements, conversations, and virtual environments.

[0127] Hardware and software used

[0128] User's device: A device that can connect to the internet, such as a smartphone or PC

[0129] Server: A high-performance server that responds to user requests in real time.

[0130] Generative AI models: AI models for generating avatars, actions, conversations, and virtual environments (e.g., open-source AI models)

[0131] Creating and Managing User Accounts

[0132] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database. The server can use a database management system such as MySQL or PostgreSQL.

[0133] Avatar generation

[0134] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends them from the device to the server. The server uses a generative AI model to generate an avatar based on these characteristics and sends the data to the device. The device then displays the generated avatar to the user. Examples of generative AI models that can be used include DeepArt and GAN (Generative Adversarial Network).

[0135] Starting a Live Session

[0136] When a user requests to start a live session, the device sends the request to the server, which generates a virtual environment using a generative AI model and transmits the environment data to the device, which then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0137] Product Introduction

[0138] The server generates a product list based on the user's past interests and purchase history. This product list is then presented by a virtual influencer in the generated virtual environment. The virtual influencer then explains the selected products to the user and introduces their features in detail.

[0139] Interactive Question and Answering

[0140] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses a generative AI model to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user.

[0141] Real-time product purchases

[0142] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0143] Specific examples

[0144] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then starts showcasing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" and the virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The user then purchases the case they like and instantly completes the payment.

[0145] Prompt Sentence Examples

[0146] An example of a prompt to input to the generative AI model is, "A user is about to start a live session at 2 AM. Please generate a scene in which a virtual influencer introduces a new smartphone case."

[0147] This invention allows users to purchase products with a high degree of satisfaction, without being restricted by time or place.

[0148] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0149] Step 1:

[0150] Creating a user account and logging in

[0151] Input: The user enters their name, email address, and password into the device.

[0152] Specific operation: When the user presses the "Register" button, the terminal sends this information to the server.

[0153] Data processing and data calculation: The server verifies the received user information and converts it into a format for storage in the database.

[0154] Output: A message is sent back to the device informing the user that the account creation was successful.

[0155] Step 2:

[0156] Users can create avatars by specifying their preferred appearance features.

[0157] Input: The user inputs appearance characteristics (hairstyle, eye color, clothing, etc.) into the terminal.

[0158] Specific operation: When the user presses the "Generate Avatar" button, the device sends this information to the server.

[0159] Data processing and data calculation: The server sends prompts to the generative AI model to generate an avatar based on these features.

[0160] Output: The generated avatar data is sent back to the device, which displays the avatar on the user's screen.

[0161] Step 3:

[0162] Starting a Live Session

[0163] Input: The user types a request to start a live session into the terminal.

[0164] Specific operation: When the user presses the "Start Live Session" button, the terminal sends a request to the server.

[0165] Data processing and data calculation: The server sends prompts to the generative AI model to generate a virtual environment, and then sends the generated virtual environment data to the terminal.

[0166] Output: The device displays the virtual environment and the actions of the virtual influencer on the screen.

[0167] Step 4:

[0168] Product Listing Generation and Introduction

[0169] Input: The server retrieves the user's past interests and purchase history from a database.

[0170] Specific operation: The server sends prompts to the generative AI model based on this data to generate the optimal product list, and then reflects the generated product list data in the virtual environment.

[0171] Data processing and data calculation: Analyze past history extracted from the database and generate a product list.

[0172] Output: The virtual influencer displays the product list and introduces it to the user.

[0173] Step 5:

[0174] Interactive Question and Answering

[0175] Input: The user inputs a question about the product into the terminal.

[0176] Specific operation: When a user enters a question and presses the "Send" button, the terminal sends the question to the server.

[0177] Data processing and data calculation: The server sends prompts to the generative AI model to generate the best answer to the input question.

[0178] Output: The device displays the answers generated by the virtual influencer.

[0179] Step 6:

[0180] Real-time product purchases

[0181] Input: The user decides to purchase the product and presses the purchase button on the terminal.

[0182] Specific operation: When the user presses the "Purchase" button, the terminal sends a purchase request and payment information to the server.

[0183] Data processing and data calculation: The server verifies the payment information and executes the purchase process.

[0184] Output: A message is sent back to the terminal to be displayed to the user informing them that the purchase has been completed.

[0185] (Application example 1)

[0186] 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."

[0187] In modern online shopping systems, users search for, browse, and purchase product information, but the experience is one-way, and users have limited means of obtaining detailed information about products. There is also a lack of real-time, interactive methods for product introductions and question-and-answer sessions. This creates challenges in terms of not sufficiently improving user satisfaction or stimulating purchasing motivation.

[0188] 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.

[0189] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for a user to ask questions about products, a means for responding to the questions, a means for purchasing products on the spot, a means for a virtual influencer to introduce products in real time, and a means for generating a product list based on the user's interests and purchase history, thereby enabling users to enjoy a virtual shopping experience 24 hours a day, 365 days a year through real-time product introductions and question-answering by the virtual influencer.

[0190] An "avatar" is a character that a user acts on their behalf in a virtual environment.

[0191] "Avatar generation means" refers to a technical means for creating a virtual character based on the user's preferences and specifications.

[0192] The "motion generation means" is a technical means for automatically generating and displaying the motions that the avatar performs within the virtual environment.

[0193] "Conversation generation means" refers to a technical means for generating a dialogue with a user through an avatar.

[0194] "Virtual environment generation means" refers to the technical means for constructing virtual spaces and scenes for users to interact with.

[0195] The "means for users to ask questions about products" is an interface that allows users to input questions about products in which they are interested.

[0196] "Means for responding to questions" refers to technical means for generating and providing appropriate answers to user questions.

[0197] "Means for purchasing products on the spot" refers to technical means for users to purchase products they like in real time.

[0198] "Means for virtual influencers to introduce products in real time" refers to a technological means for virtual characters to introduce products in accordance with real time.

[0199] "Means for generating a product list based on a user's interests and purchase history" refers to a technical means for analyzing past user behavior data and automatically generating an interesting product list based on that data.

[0200] This invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and specific embodiments thereof are as follows.

[0201] First, a user creates an account using their own device (such as a smartphone or personal computer) and generates an avatar. The user enters information such as their name, email address, and password, and sends this information to the server. The server stores the entered information in a database and manages the user account.

[0202] Next, the user uses the avatar generation means to specify their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends this information to the server. The server uses a generative AI model to generate an avatar based on the specified characteristics and sends the data to the terminal. The generated avatar is then displayed on the user's terminal.

[0203] The user sends a request to start a live session from their device to the server. The server generates a virtual environment using a generative AI model and sends the environment data to the device. The user's device displays the generated virtual environment to the user, and the virtual influencer operates in real time. At this time, the virtual influencer's actions introducing the product within the virtual environment are generated and displayed to the user.

[0204] The server generates an optimal product list based on the user's interests and past purchase history. This product list is introduced by a virtual influencer in the virtual environment. The user can input questions about products of interest through their device, and the questions are sent to the server. The server uses a generative AI model to generate optimal answers to the questions in real time, and the virtual influencer provides the generated answers to the user.

[0205] If the user decides to purchase a particular product, the device sends a purchase request and payment information to the server. The server verifies the payment information and executes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0206] For example, if a user requests, "Please introduce me to the latest wireless earphones," the server inputs the following text as a prompt into the generative AI model:

[0207] "Suggest products based on these interests: latest wireless earphones"

[0208] Based on these prompts, the generative AI model will recommend products that best suit the user's interests. Through this process, users can enjoy a satisfying shopping experience through virtual influencers, regardless of time or location.

[0209] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0210] Step 1:

[0211] A user creates an account. The user enters their name, email address, and password and sends that information from their device to the server. The server receives this information, stores it in a database, and creates a user account.

[0212] Input: Name, Email Address, Password

[0213] Output: A user account is created and saved in the database.

[0214] Step 2:

[0215] The user generates an avatar. The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends this information from the device to the server. The server uses a generative AI model to generate an avatar based on the user's specifications and sends the data to the device. The device displays the generated avatar to the user.

[0216] Input: Appearance feature data

[0217] Output: Avatar data displayed to the user

[0218] Step 3:

[0219] The user sends a request to start a live session. The device sends the request to the server, which uses a generative AI model to generate a virtual environment and sends the data to the device. The device then displays the generated virtual environment to the user, with the virtual influencer operating in real time.

[0220] Input: Live session start request

[0221] Output: Virtual environment data displayed to the user

[0222] Step 4:

[0223] The server generates a product list based on the user's interests and past purchase history. The server analyzes the user's past behavioral data and uses a generative AI model to generate an optimal product list based on that data. This product list is then introduced by a virtual influencer in the virtual environment.

[0224] Input: User interest and purchase history data

[0225] Output: Product list data

[0226] Step 5:

[0227] The user inputs a question about a product they are interested in. The device sends the question to the server, which uses a generative AI model to generate the optimal answer. The virtual influencer then provides the generated answer to the user.

[0228] Input: Product question data

[0229] Output: Answer data provided to the user

[0230] Step 6:

[0231] The user submits a request to purchase a specific product. The terminal sends the purchase request and payment information to the server, which verifies the payment information and executes the purchase. Once the purchase is complete, the server sends a completion message to the terminal, which is displayed to the user.

[0232] Input: Purchase request, payment information

[0233] Output: Purchase confirmation message and purchase completion information

[0234] For example, if a user requests, "Please recommend the latest wireless earphones," the following prompt sentence is generated: "Suggest products based on these interests: latest wireless earphones." The server inputs this prompt sentence into the generative AI model and recommends products that are appropriate for the user.

[0235] Furthermore, an emotion engine that estimates the user's emotion may be 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.

[0236] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and a specific embodiment that provides interactions according to the user's emotions by combining an emotion engine is described below.

[0237] Overall system configuration

[0238] This system consists of a user device, a server, a generation AI, and an emotion engine. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, using the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion engine recognizes the user's emotions and reflects them in the avatar and interactions.

[0239] Creating and Managing User Accounts

[0240] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[0241] Avatar generation

[0242] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generative AI and emotion engine to generate an avatar based on these characteristics and sends the data to the device. The emotion engine recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[0243] Starting a Live Session

[0244] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion engine and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0245] Product Introduction

[0246] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. The emotion engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[0247] Interactive Question and Answering

[0248] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI and an emotion engine to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user. The emotion engine recognizes the user's emotions and adjusts the tone and content of the answer according to their state.

[0249] Real-time product purchases

[0250] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0251] Specific examples

[0252] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The emotion engine then recognizes the user's facial expression and, if it determines interest, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment.

[0253] The system of the present invention allows users to purchase products with high satisfaction, regardless of time or location. In addition, by combining it with an emotion engine, interactions based on the user's emotions can be provided, resulting in a more personalized shopping experience.

[0254] The processing flow will be explained below.

[0255] Step 1:

[0256] A user accesses the platform and creates an account by entering their name, email address, and password.

[0257] Step 2:

[0258] The device sends the user's input in JSON format to the server.

[0259] Step 3:

[0260] The server verifies the received user information and stores it in a database.

[0261] Step 4:

[0262] The server sends a response to the terminal indicating that the account creation has been completed.

[0263] Step 5:

[0264] The device will display a message to the user confirming account creation.

[0265] Step 6:

[0266] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.).

[0267] Step 7:

[0268] The device sends customization information in JSON format to the server.

[0269] Step 8:

[0270] The server passes customization information to the generation AI and emotion engine and requests the generation of an avatar.

[0271] Step 9:

[0272] The generation AI generates an avatar based on customization information, and the emotion engine recognizes the user's facial expressions and emotional state to generate the avatar's facial expressions.

[0273] Step 10:

[0274] The server sends the generated avatar data to the device.

[0275] Step 11:

[0276] The terminal displays the generated avatar to the user.

[0277] Step 12:

[0278] The user clicks the Start Live Session button.

[0279] Step 13:

[0280] The terminal sends a live session request to the server.

[0281] Step 14:

[0282] The server requests the generation AI and emotion engine to generate a virtual store environment and sends the data to the terminal.

[0283] Step 15:

[0284] The terminal displays the generated virtual store environment to the user and initiates the operation of the virtual influencer.

[0285] Step 16:

[0286] The server generates a product list based on the user's past interests and purchasing history.

[0287] Step 17:

[0288] The server passes the generated product list to the virtual influencer.

[0289] Step 18:

[0290] The virtual influencer introduces selected products based on the product list to the user.

[0291] Step 19:

[0292] The user types a question about the product into the chat box.

[0293] Step 20:

[0294] The terminal sends the user's question to the server.

[0295] Step 21:

[0296] The server passes the question to the generation AI and emotion engine, which then generates an appropriate answer.

[0297] Step 22:

[0298] Generative AI generates the best answer to a question, and an emotion engine adjusts the tone and content of the answer based on the user's emotions.

[0299] Step 23:

[0300] The server sends the generated response to the terminal.

[0301] Step 24:

[0302] The device displays the answers provided by the virtual influencers to the user.

[0303] Step 25:

[0304] The user clicks the purchase button to purchase the product they like.

[0305] Step 26:

[0306] The terminal sends the purchase request and payment information to the server.

[0307] Step 27:

[0308] The server verifies the payment information and processes the purchase.

[0309] Step 28:

[0310] The server sends a notification of purchase completion to the device.

[0311] Step 29:

[0312] The terminal displays a purchase completion message to the user.

[0313] Specific examples

[0314] If a user starts a live session on their smartphone at home at 2 AM and is looking for a new phone case, the process would go like this:

[0315] After the processes from step 1 to step 11 are completed, the user starts a live session (step 12). The server generates a virtual store environment using the generation AI and emotion engine (step 14), and the terminal displays this virtual store environment (step 15).

[0316] The server generates an appropriate product list based on the user's past interests and purchase history (steps 16 and 17), and the virtual influencer begins introducing these products (step 18).

[0317] When a user inputs a question such as "Is this case waterproof?" (step 19), the device sends the question to the server (step 20), and the server uses a generative AI and emotion engine to generate an appropriate answer and sends it to the device (steps 21 to 23). The virtual influencer displays the answer based on the user's emotion (step 24).

[0318] When the user clicks the purchase button to purchase a product they like (step 25), the terminal sends a purchase request and payment information to the server (step 26), the server processes the purchase (step 27), and sends a notification of purchase completion to the terminal and displays it to the user (steps 28 and 29).

[0319] Example 2

[0320] Next, a description will be given of 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."

[0321] In conventional online shopping systems, it was difficult for users to ask questions about products or experience interactions based on their emotions.In addition, personalized product recommendations that reflected users' past purchase history and interests were not sufficiently implemented, making it difficult to increase user satisfaction.

[0322] 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.

[0323] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for the user to ask questions about products, a means for responding to the questions, a means for purchasing products on the spot, an emotion engine that recognizes the user's emotions and reflects them in the avatar and interactions, and a means for generating a product list based on the user's past interests and purchase history, thereby enabling personalized interactions and product recommendations based on the user's emotions and interests.

[0324] The "avatar generation means" is a means for generating an avatar based on the appearance characteristics of a user.

[0325] The "motion generation means" is a means for generating the motion of the avatar controlled by the user.

[0326] The "conversation generation means" is a means for generating dialogue and question-and-answer sessions with the user.

[0327] The "virtual environment generating means" is a means for generating a virtual environment in which an avatar operated by a user and other elements exist.

[0328] The "means for users to ask questions about products" refers to the means by which users input questions about products to the system.

[0329] "Means for responding to the question" refers to means for generating the most appropriate answer to the question from the user.

[0330] The "means for purchasing products on the spot" refers to a means for a user to purchase a product selected by the user in real time.

[0331] The "emotion engine" is an engine that recognizes the user's emotions and reflects them in the avatar and interactions.

[0332] The "means for generating a product list" is a means for generating a product list based on the user's past interests and purchase history.

[0333] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and a specific embodiment is described below that provides interactions according to the user's emotions by combining an emotion engine.

[0334] Overall system configuration

[0335] This system consists of a user device, a server, a generation AI, and an emotion engine. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time and uses the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion engine recognizes the user's emotions and reflects them in the avatar and interactions.

[0336] Creating and Managing User Accounts

[0337] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database. The hardware used is a general server system (e.g., a cloud environment), and communication uses the SSL / TLS protocol.

[0338] Avatar generation

[0339] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends them from the device to the server. The server uses a generative AI (e.g., GPT-3) and an emotion engine to generate an avatar based on these characteristics and sends the data to the device. The emotion engine (e.g., Emotion AI) recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[0340] Starting a Live Session

[0341] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion engine, and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0342] Product Introduction

[0343] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. The emotion engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[0344] Interactive Question and Answering

[0345] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI (e.g., natural language processing models) and an emotion engine to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user. The emotion engine recognizes the user's emotions and adjusts the tone and content of the answer according to their state.

[0346] Real-time product purchases

[0347] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase using a security protocol based on the PCI DSS (Payment Card Industry Data Security Standard). Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0348] Specific examples

[0349] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The emotion engine then recognizes the user's facial expression and, if it determines interest, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment.

[0350] Prompt Sentence Examples

[0351] "You have a system where users can create avatars and purchase products 24 / 7. The system uses an emotion engine to provide interactions based on the user's emotions. Start a live session with the following conditions:

[0352] It's 2 AM

[0353] Looking for a smartphone case

[0354] Asking "Is this case waterproof?"

[0355] Generate conversation content for your virtual influencers based on these conditions.

[0356] Interact with users based on their emotions

[0357] Explain the waterproof function

[0358] Based on this prompt, the generative AI model generates dialogue content that corresponds to the user's emotions and provides it in real time in conjunction with the emotion engine.

[0359] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0360] Step 1:

[0361] Creating a user account

[0362] Input: The user enters their name, email address, and password.

[0363] Specific operation: The terminal receives this information through the input form and encrypts it using the SSL / TLS protocol.

[0364] Data processing / calculation: The terminal converts the input data into a structured format (e.g., JSON) and sends the encrypted data to the server.

[0365] Output: The server stores the received data in a database and sends a response to the device confirming the completion of the account creation.

[0366] Step 2:

[0367] Avatar generation

[0368] Input: The user inputs the avatar's appearance characteristics (hairstyle, eye color, clothing, etc.).

[0369] Specific operation: The terminal receives the appearance characteristic data through the input form and sends it to the server.

[0370] Data processing / computation: The server generates an avatar based on the input data using a generative AI model (e.g., GPT-3) and an emotion engine (e.g., Emotion AI). The generative AI model creates a 3D avatar based on appearance features, and the emotion engine adds facial expressions that reflect the user's emotions.

[0371] Output: The generated avatar data is sent from the server to the terminal, and the terminal displays this data to the user.

[0372] Step 3:

[0373] Starting a Live Session

[0374] Input: A user requests to start a live session.

[0375] Specific operation: The terminal receives a user request and sends it to the server.

[0376] Data processing / computation: The server generates the virtual environment using a generative AI model and uses an emotion engine to create an appropriate environment based on the user's emotional state.

[0377] Output: The generated virtual environment data is sent from the server to the terminal, which displays this data to the user. The virtual influencer begins to operate.

[0378] Step 4:

[0379] Product Introduction

[0380] Input: User's past interests and purchase history data.

[0381] Specific operation: The server retrieves the user's past interests and purchase history from a database.

[0382] Data processing / calculation: The server uses a generative AI model to generate a product list based on the acquired data. The emotion engine analyzes the user's reactions in real time and adjusts the list to prioritize the introduction of products that the user is interested in.

[0383] Output: The generated product list is introduced to the user through the virtual influencer.

[0384] Step 5:

[0385] Interactive Question and Answering

[0386] Input: The question the user entered about the product.

[0387] Specific operation: The terminal receives the user's question through an input form and sends it to the server.

[0388] Data processing / calculation: The server analyzes the received question and generates the optimal answer using a generative AI model (e.g., natural language processing model) and an emotion engine. The emotion engine adjusts the tone and content of the answer depending on the user's emotional state.

[0389] Output: The generated answers are provided to the user through the virtual influencer.

[0390] Step 6:

[0391] Real-time product purchases

[0392] Input: The user presses the purchase button and enters payment information.

[0393] Specific operation: The terminal receives the purchase request and payment information and sends them to the server.

[0394] Data processing / calculation: The server verifies the received payment information based on PCI DSS and processes the purchase.

[0395] Output: If the purchase is successful, the server sends a success message to the terminal, which displays it to the user. If the purchase is unsuccessful, an error message is sent to the terminal and displayed to the user.

[0396] The above is a detailed description of the specific processing steps in this system and the operations performed at each step.

[0397] (Application example 2)

[0398] 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."

[0399] Conventional online shopping systems have challenges in providing an intuitive and fast purchasing experience because users have to search multiple pages and read product descriptions to find the information they need. Furthermore, they only provide a uniform interface and information without considering the user's emotions or interests, which means they do not provide a personalized experience optimized for each individual user. This can result in a poor user experience and a lower conversion rate.

[0400] 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.

[0401] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for a user to ask a question about a product, a means for responding to the question, a means for purchasing the product on the spot, an emotion recognition means for recognizing the user's emotion, a means for optimizing the product description based on the emotion recognition, and a prompt sentence generation means for generating an optimal answer using a generative AI model. This allows the user to intuitively and quickly obtain the information they need, enabling a personalized shopping experience.

[0402] The "avatar generation means" is a device or program that has the function of generating an avatar based on the user's preferred appearance characteristics.

[0403] The "motion generation means" is a device or program that has the function of generating and displaying the motions of the avatar when introducing the product.

[0404] The "conversation generation means" is a device or program that has the function of generating a dialogue with the user.

[0405] The "virtual environment generating means" is a device or program that has the function of generating a virtual environment in which a user can purchase products through an avatar.

[0406] The "means for users to ask questions about products" refers to a device or program that has an interface for users to input questions about products.

[0407] The "means for responding to the question" is a device or program that has the function of generating and presenting an answer to the user's question.

[0408] The "means for purchasing products on the spot" refers to a device or program that has the function of allowing a user to select a product and complete the purchase procedure immediately on the spot.

[0409] The "emotion recognition means for recognizing the user's emotions" is a device or program that has the function of detecting and recognizing emotions from the user's facial expressions, voice, etc.

[0410] The "means for optimizing product description based on emotion recognition" is a device or program that has the function of adjusting the content and method of product description based on the recognized user emotion.

[0411] A "prompt sentence generation means that generates optimal answers using a generative AI model" is a device or program that has the function of generating prompt sentences using a generative AI model in response to questions from users and providing those answers in real time.

[0412] The following is a detailed description of an embodiment of the present invention. The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and provides interactions that correspond to the user's emotions by combining an emotion engine.

[0413] Overall system configuration

[0414] This system consists of a user device, a server, a generation AI, and an emotion recognition engine. Users create an account using their own device (smartphone, head-mounted display, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, and uses the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion recognition engine recognizes the user's emotions and reflects them in the avatar and interactions.

[0415] Creating and Managing User Accounts

[0416] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[0417] Avatar generation

[0418] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generation AI and emotion recognition engine to generate an avatar based on these characteristics and sends the data to the device. The emotion recognition engine recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[0419] Starting a Live Session

[0420] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion recognition engine and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0421] Product Introduction

[0422] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. An emotion recognition engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[0423] Interactive Question and Answering

[0424] Users input questions about products they are interested in through their devices. The questions are sent to the server, which uses generative AI and an emotion recognition engine to generate the optimal answer to the question as a prompt. The virtual influencer then provides the generated answer to the user. For example, if a user asks, "Is this case waterproof?", the generative AI model will respond, "Yes, this case has IP68 waterproof capabilities."

[0425] Real-time product purchases

[0426] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0427] Specific examples

[0428] For example, consider a scenario where a user starts a live session at home using their smartphone and is looking for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The generative AI model immediately replies, "Yes, this case is IP68 waterproof." The emotion recognition engine then recognizes the user's facial expression and, if it determines that the user is interested, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment. This allows users to obtain information intuitively and quickly, enabling a personalized shopping experience.

[0429] As a specific example of a prompt sentence, if a user enters, "Do you have any green running shoes?", the generative AI model will respond, "Yes, these are the green running shoes." In this way, responses using the generative AI model enable real-time interactive question answering.

[0430] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0431] Step 1:

[0432] A user accesses the platform and creates an account by entering their name, email address, and password.

[0433] Enter your name, email address, and password.

[0434] Data processing / calculation: User information is sent to the server and stored in the database.

[0435] Output: User account creation success message.

[0436] Step 2:

[0437] The user inputs appearance characteristics (hairstyle, eye color, clothing, etc.) to create an avatar.

[0438] Input: User's appearance characteristics (hairstyle, eye color, clothing, etc.).

[0439] Data processing / calculation: Appearance feature data is sent from the device to the server, the generation AI generates an avatar, and the emotion recognition engine generates facial expressions for the avatar that correspond to the user's facial expressions and emotions.

[0440] Output: Send the generated avatar data to the terminal and display it to the user.

[0441] Step 3:

[0442] A user sends a request to start a live session from a terminal to a server.

[0443] Input: Live session start request.

[0444] Data processing / calculation: The server generates a virtual environment using AI and an emotion recognition engine.

[0445] Output: Sends virtual environment data to the terminal and displays it to the user.

[0446] Step 4:

[0447] The server generates a product list based on the user's past interests and purchasing history.

[0448] Input: User's past interests and purchasing history.

[0449] Data processing / calculation: User history information is obtained from the database, and the generation AI generates an appropriate product list.

[0450] Output: Generate a product list and have the product showcased by a virtual influencer in a virtual environment.

[0451] Step 5:

[0452] The user inputs a question about a product that interests them.

[0453] Input: Product question.

[0454] Data processing / calculation: Question data is sent to the server, the generation AI generates the optimal answer as a prompt, and the emotion recognition engine adjusts the answer based on the user's emotions.

[0455] Output: The virtual influencer provides the generated answer to the user.

[0456] Step 6:

[0457] The user decides to purchase and presses the purchase button on the terminal.

[0458] Input: Purchase request, payment information.

[0459] Data processing / calculation: The purchase request and payment information are sent to the server, which verifies the information and completes the purchase process.

[0460] Output: Sends a purchase completion message to the terminal and displays it to the user.

[0461] Responding to specific example prompts

[0462] For example, if a user types, "Do you have green running shoes?", the generative AI model will respond, "Yes, these are green running shoes," and the emotion recognition engine will recognize the user's interests and provide further clarification.

[0463] This detailed processing at every step of the visual system ensures that users are provided with an intuitive and personalized shopping experience.

[0464] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0465] 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 generation 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 voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0466] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0467] [Second embodiment]

[0468] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0469] 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.

[0470] 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0471] 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.

[0472] 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 audio in accordance with instructions from the processor 46.

[0473] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0474] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0475] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0476] 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.

[0477] 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.

[0478] 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.

[0479] 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 smart glasses 214 will be referred to as the "terminal."

[0480] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and is configured as follows as a specific embodiment.

[0481] Overall system configuration

[0482] This system consists of a user's device, a server, and a generation AI. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, and uses the generation AI to generate the avatar, movements, conversations, and virtual environment.

[0483] Creating and Managing User Accounts

[0484] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[0485] Avatar generation

[0486] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generative AI to generate an avatar based on these characteristics and sends the data to the device. The device then displays the generated avatar to the user.

[0487] Starting a Live Session

[0488] When a user requests to start a live session, the device sends the request to the server, which uses generative AI to generate a virtual environment and transmits the environment data to the device, which then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0489] Product Introduction

[0490] The server generates a product list based on the user's past interests and purchase history. This product list is then presented by a virtual influencer in the generated virtual environment. The virtual influencer then explains the selected products to the user and introduces their features in detail.

[0491] Interactive Question and Answering

[0492] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI to generate the best possible answers to those questions in real time. The virtual influencer then provides the generated answers to the users.

[0493] Real-time product purchases

[0494] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0495] Specific examples

[0496] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then starts showcasing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" and the virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The user then purchases the case they like and instantly completes the payment.

[0497] The system of the present invention allows users to purchase products with a high degree of satisfaction, without being restricted by time or place.

[0498] The processing flow will be explained below.

[0499] Step 1:

[0500] A user accesses the platform and creates an account by entering their name, email address, and password.

[0501] Step 2:

[0502] The device sends the user's input in JSON format to the server.

[0503] Step 3:

[0504] The server verifies the received user information and stores it in a database.

[0505] Step 4:

[0506] The server sends a response to the terminal indicating that the account creation has been completed.

[0507] Step 5:

[0508] The device will display a message to the user confirming account creation.

[0509] Step 6:

[0510] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.).

[0511] Step 7:

[0512] The device sends customization information in JSON format to the server.

[0513] Step 8:

[0514] The server passes customization information to the generation AI and requests it to generate an avatar.

[0515] Step 9:

[0516] The generation AI generates an avatar based on the customization information and returns the data to the server.

[0517] Step 10:

[0518] The server sends the generated avatar data to the device.

[0519] Step 11:

[0520] The terminal displays the generated avatar to the user.

[0521] Step 12:

[0522] The user clicks the Start Live Session button.

[0523] Step 13:

[0524] The terminal sends a live session request to the server.

[0525] Step 14:

[0526] The server requests the generation AI to generate a virtual store environment and sends the data to the terminal.

[0527] Step 15:

[0528] The terminal displays the generated virtual store environment to the user and initiates the operation of the virtual influencer.

[0529] Step 16:

[0530] The server generates a product list based on the user's past interests and purchasing history.

[0531] Step 17:

[0532] The server passes the generated product list to the virtual influencer.

[0533] Step 18:

[0534] The virtual influencer introduces selected products based on the product list to the user.

[0535] Step 19:

[0536] The user types a question about the product into the chat box.

[0537] Step 20:

[0538] The terminal sends the user's question to the server.

[0539] Step 21:

[0540] The server passes the question to the generation AI, which then generates an appropriate answer.

[0541] Step 22:

[0542] The generative AI generates the best answer to the question and returns that data to the server.

[0543] Step 23:

[0544] The server sends the generated response to the terminal.

[0545] Step 24:

[0546] The device displays the answers provided by the virtual influencers to the user.

[0547] Step 25:

[0548] The user clicks the purchase button to purchase the product they like.

[0549] Step 26:

[0550] The terminal sends the purchase request and payment information to the server.

[0551] Step 27:

[0552] The server verifies the payment information and processes the purchase.

[0553] Step 28:

[0554] The server sends a notification of purchase completion to the device.

[0555] Step 29:

[0556] The terminal displays a purchase completion message to the user.

[0557] Example 1

[0558] 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 smart glasses 214 will be referred to as a "terminal."

[0559] In conventional online shopping systems, the process of users selecting, asking questions about, and purchasing products is complicated, making it difficult to carry out this process efficiently in real time, 24 hours a day, 365 days a year. Another issue is that users often have to spend a lot of time resolving questions about products, which can slow down the process of making a purchase decision. There was a need to solve these problems and improve convenience and user satisfaction.

[0560] 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.

[0561] In this invention, the server includes an account creation means, an avatar generation means, a virtual environment generation means, a means for generating a product list based on the user's past interests and purchase history, a means for the user to ask questions about products, a means for responding to the questions, and a means for purchasing products on the spot. This allows users to customize their avatars based on their preferences, receive responses to their questions in real time, and efficiently purchase products 24 hours a day, 365 days a year.

[0562] Below are definitions of important words.

[0563] The "account creation means" is a function that allows a user to create an account by entering information such as name, email address, and password, and then send that information to the server and store it in a database.

[0564] The "avatar generation means" is a function that allows a user to input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.), generate an avatar based on that information using a generative AI model, and display that data to the user.

[0565] The "virtual environment generation means" is a function that generates a virtual environment using a generative AI model based on a user request and displays that data to the user.

[0566] "Means for generating a product list based on the user's past interests and purchase history" is a function in which the server generates a product list that is optimal for the user based on the user's past purchase history and interests stored in the database.

[0567] The "means for users to ask questions about products" is an interface function that allows users to input questions about products in which they are interested and send those questions to the server.

[0568] The "means for responding to the question" is a function that uses a generative AI model to generate the optimal answer to the question received by the server and provides that answer to the user.

[0569] The "means for purchasing a product on the spot" is a function that allows a user to decide to purchase a product, transmit a purchase request and payment information to the server, and then process the purchase and notify the user of its completion.

[0570] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and is configured as follows as a specific embodiment.

[0571] Overall system configuration

[0572] This system consists of a user's device (smartphone, PC, etc.), a server, and a generative AI model. Users create an account using their own device, generate an avatar, and start a live session. The server responds to user requests in real time, using the generative AI model to generate avatars, movements, conversations, and virtual environments.

[0573] Hardware and software used

[0574] User's device: A device that can connect to the internet, such as a smartphone or PC

[0575] Server: A high-performance server that responds to user requests in real time.

[0576] Generative AI models: AI models for generating avatars, actions, conversations, and virtual environments (e.g., open-source AI models)

[0577] Creating and Managing User Accounts

[0578] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database. The server can use a database management system such as MySQL or PostgreSQL.

[0579] Avatar generation

[0580] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends them from the device to the server. The server uses a generative AI model to generate an avatar based on these characteristics and sends the data to the device. The device then displays the generated avatar to the user. Examples of generative AI models that can be used include DeepArt and GAN (Generative Adversarial Network).

[0581] Starting a Live Session

[0582] When a user requests to start a live session, the device sends the request to the server, which generates a virtual environment using a generative AI model and transmits the environment data to the device, which then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0583] Product Introduction

[0584] The server generates a product list based on the user's past interests and purchase history. This product list is then presented by a virtual influencer in the generated virtual environment. The virtual influencer then explains the selected products to the user and introduces their features in detail.

[0585] Interactive Question and Answering

[0586] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses a generative AI model to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user.

[0587] Real-time product purchases

[0588] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0589] Specific examples

[0590] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then starts showcasing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" and the virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The user then purchases the case they like and instantly completes the payment.

[0591] Prompt Sentence Examples

[0592] An example of a prompt to input to the generative AI model is, "A user is about to start a live session at 2 AM. Please generate a scene in which a virtual influencer introduces a new smartphone case."

[0593] This invention allows users to purchase products with a high degree of satisfaction, without being restricted by time or place.

[0594] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0595] Step 1:

[0596] Creating a user account and logging in

[0597] Input: The user enters their name, email address, and password into the device.

[0598] Specific operation: When the user presses the "Register" button, the terminal sends this information to the server.

[0599] Data processing and data calculation: The server verifies the received user information and converts it into a format for storage in the database.

[0600] Output: A message is sent back to the device informing the user that the account creation was successful.

[0601] Step 2:

[0602] Users can create avatars by specifying their preferred appearance features.

[0603] Input: The user inputs appearance characteristics (hairstyle, eye color, clothing, etc.) into the terminal.

[0604] Specific operation: When the user presses the "Generate Avatar" button, the device sends this information to the server.

[0605] Data processing and data calculation: The server sends prompts to the generative AI model to generate an avatar based on these features.

[0606] Output: The generated avatar data is sent back to the device, which displays the avatar on the user's screen.

[0607] Step 3:

[0608] Starting a Live Session

[0609] Input: The user types a request to start a live session into the terminal.

[0610] Specific operation: When the user presses the "Start Live Session" button, the terminal sends a request to the server.

[0611] Data processing and data calculation: The server sends prompts to the generative AI model to generate a virtual environment, and then sends the generated virtual environment data to the terminal.

[0612] Output: The device displays the virtual environment and the actions of the virtual influencer on the screen.

[0613] Step 4:

[0614] Product Listing Generation and Introduction

[0615] Input: The server retrieves the user's past interests and purchase history from a database.

[0616] Specific operation: The server sends prompts to the generative AI model based on this data to generate the optimal product list, and then reflects the generated product list data in the virtual environment.

[0617] Data processing and data calculation: Analyze past history extracted from the database and generate a product list.

[0618] Output: The virtual influencer displays the product list and introduces it to the user.

[0619] Step 5:

[0620] Interactive Question and Answering

[0621] Input: The user inputs a question about the product into the terminal.

[0622] Specific operation: When a user enters a question and presses the "Send" button, the terminal sends the question to the server.

[0623] Data processing and data calculation: The server sends prompts to the generative AI model to generate the best answer to the input question.

[0624] Output: The device displays the answers generated by the virtual influencer.

[0625] Step 6:

[0626] Real-time product purchases

[0627] Input: The user decides to purchase the product and presses the purchase button on the terminal.

[0628] Specific operation: When the user presses the "Purchase" button, the terminal sends a purchase request and payment information to the server.

[0629] Data processing and data calculation: The server verifies the payment information and executes the purchase process.

[0630] Output: A message is sent back to the terminal to be displayed to the user informing them that the purchase has been completed.

[0631] (Application example 1)

[0632] 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."

[0633] In modern online shopping systems, users search for, browse, and purchase product information, but the experience is one-way, and users have limited means of obtaining detailed information about products. There is also a lack of real-time, interactive methods for product introductions and question-and-answer sessions. This creates challenges in terms of not sufficiently improving user satisfaction or stimulating purchasing motivation.

[0634] 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.

[0635] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for a user to ask questions about products, a means for responding to the questions, a means for purchasing products on the spot, a means for a virtual influencer to introduce products in real time, and a means for generating a product list based on the user's interests and purchase history, thereby enabling users to enjoy a virtual shopping experience 24 hours a day, 365 days a year through real-time product introductions and question-answering by the virtual influencer.

[0636] An "avatar" is a character that a user acts on their behalf in a virtual environment.

[0637] "Avatar generation means" refers to a technical means for creating a virtual character based on the user's preferences and specifications.

[0638] The "motion generation means" is a technical means for automatically generating and displaying the motions that the avatar performs within the virtual environment.

[0639] "Conversation generation means" refers to a technical means for generating a dialogue with a user through an avatar.

[0640] "Virtual environment generation means" refers to the technical means for constructing virtual spaces and scenes for users to interact with.

[0641] The "means for users to ask questions about products" is an interface that allows users to input questions about products in which they are interested.

[0642] "Means for responding to questions" refers to technical means for generating and providing appropriate answers to user questions.

[0643] "Means for purchasing products on the spot" refers to technical means for users to purchase products they like in real time.

[0644] "Means for virtual influencers to introduce products in real time" refers to a technological means for virtual characters to introduce products in accordance with real time.

[0645] "Means for generating a product list based on a user's interests and purchase history" refers to a technical means for analyzing past user behavior data and automatically generating an interesting product list based on that data.

[0646] This invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and specific embodiments thereof are as follows.

[0647] First, a user creates an account using their own device (such as a smartphone or personal computer) and generates an avatar. The user enters information such as their name, email address, and password, and sends this information to the server. The server stores the entered information in a database and manages the user account.

[0648] Next, the user uses the avatar generation means to specify their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends this information to the server. The server uses a generative AI model to generate an avatar based on the specified characteristics and sends the data to the terminal. The generated avatar is then displayed on the user's terminal.

[0649] The user sends a request to start a live session from their device to the server. The server generates a virtual environment using a generative AI model and sends the environment data to the device. The user's device displays the generated virtual environment to the user, and the virtual influencer operates in real time. At this time, the virtual influencer's actions introducing the product within the virtual environment are generated and displayed to the user.

[0650] The server generates an optimal product list based on the user's interests and past purchase history. This product list is introduced by a virtual influencer in the virtual environment. The user can input questions about products of interest through their device, and the questions are sent to the server. The server uses a generative AI model to generate optimal answers to the questions in real time, and the virtual influencer provides the generated answers to the user.

[0651] If the user decides to purchase a particular product, the device sends a purchase request and payment information to the server. The server verifies the payment information and executes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0652] For example, if a user requests, "Please introduce me to the latest wireless earphones," the server inputs the following text as a prompt into the generative AI model:

[0653] "Suggest products based on these interests: latest wireless earphones"

[0654] Based on these prompts, the generative AI model will recommend products that best suit the user's interests. Through this process, users can enjoy a satisfying shopping experience through virtual influencers, regardless of time or location.

[0655] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0656] Step 1:

[0657] A user creates an account. The user enters their name, email address, and password and sends that information from their device to the server. The server receives this information, stores it in a database, and creates a user account.

[0658] Input: Name, Email Address, Password

[0659] Output: A user account is created and saved in the database.

[0660] Step 2:

[0661] The user generates an avatar. The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends this information from the device to the server. The server uses a generative AI model to generate an avatar based on the user's specifications and sends the data to the device. The device displays the generated avatar to the user.

[0662] Input: Appearance feature data

[0663] Output: Avatar data displayed to the user

[0664] Step 3:

[0665] The user sends a request to start a live session. The device sends the request to the server, which uses a generative AI model to generate a virtual environment and sends the data to the device. The device then displays the generated virtual environment to the user, with the virtual influencer operating in real time.

[0666] Input: Live session start request

[0667] Output: Virtual environment data displayed to the user

[0668] Step 4:

[0669] The server generates a product list based on the user's interests and past purchase history. The server analyzes the user's past behavioral data and uses a generative AI model to generate an optimal product list based on that data. This product list is then introduced by a virtual influencer in the virtual environment.

[0670] Input: User interest and purchase history data

[0671] Output: Product list data

[0672] Step 5:

[0673] The user inputs a question about a product they are interested in. The device sends the question to the server, which uses a generative AI model to generate the optimal answer. The virtual influencer then provides the generated answer to the user.

[0674] Input: Product question data

[0675] Output: Answer data provided to the user

[0676] Step 6:

[0677] The user submits a request to purchase a specific product. The terminal sends the purchase request and payment information to the server, which verifies the payment information and executes the purchase. Once the purchase is complete, the server sends a completion message to the terminal, which is displayed to the user.

[0678] Input: Purchase request, payment information

[0679] Output: Purchase confirmation message and purchase completion information

[0680] For example, if a user requests, "Please recommend the latest wireless earphones," the following prompt sentence is generated: "Suggest products based on these interests: latest wireless earphones." The server inputs this prompt sentence into the generative AI model and recommends products that are appropriate for the user.

[0681] Furthermore, 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.

[0682] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and a specific embodiment that provides interactions according to the user's emotions by combining an emotion engine is described below.

[0683] Overall system configuration

[0684] This system consists of a user device, a server, a generation AI, and an emotion engine. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, using the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion engine recognizes the user's emotions and reflects them in the avatar and interactions.

[0685] Creating and Managing User Accounts

[0686] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[0687] Avatar generation

[0688] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generative AI and emotion engine to generate an avatar based on these characteristics and sends the data to the device. The emotion engine recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[0689] Starting a Live Session

[0690] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion engine and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0691] Product Introduction

[0692] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. The emotion engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[0693] Interactive Question and Answering

[0694] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI and an emotion engine to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user. The emotion engine recognizes the user's emotions and adjusts the tone and content of the answer according to their state.

[0695] Real-time product purchases

[0696] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0697] Specific examples

[0698] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The emotion engine then recognizes the user's facial expression and, if it determines interest, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment.

[0699] The system of the present invention allows users to purchase products with high satisfaction, regardless of time or location. In addition, by combining it with an emotion engine, interactions based on the user's emotions can be provided, resulting in a more personalized shopping experience.

[0700] The processing flow will be explained below.

[0701] Step 1:

[0702] A user accesses the platform and creates an account by entering their name, email address, and password.

[0703] Step 2:

[0704] The device sends the user's input in JSON format to the server.

[0705] Step 3:

[0706] The server verifies the received user information and stores it in a database.

[0707] Step 4:

[0708] The server sends a response to the terminal indicating that the account creation has been completed.

[0709] Step 5:

[0710] The device will display a message to the user confirming account creation.

[0711] Step 6:

[0712] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.).

[0713] Step 7:

[0714] The device sends customization information in JSON format to the server.

[0715] Step 8:

[0716] The server passes customization information to the generation AI and emotion engine and requests the generation of an avatar.

[0717] Step 9:

[0718] The generation AI generates an avatar based on customization information, and the emotion engine recognizes the user's facial expressions and emotional state to generate the avatar's facial expressions.

[0719] Step 10:

[0720] The server sends the generated avatar data to the device.

[0721] Step 11:

[0722] The terminal displays the generated avatar to the user.

[0723] Step 12:

[0724] The user clicks the Start Live Session button.

[0725] Step 13:

[0726] The terminal sends a live session request to the server.

[0727] Step 14:

[0728] The server requests the generation AI and emotion engine to generate a virtual store environment and sends the data to the terminal.

[0729] Step 15:

[0730] The terminal displays the generated virtual store environment to the user and initiates the operation of the virtual influencer.

[0731] Step 16:

[0732] The server generates a product list based on the user's past interests and purchasing history.

[0733] Step 17:

[0734] The server passes the generated product list to the virtual influencer.

[0735] Step 18:

[0736] The virtual influencer introduces selected products based on the product list to the user.

[0737] Step 19:

[0738] The user types a question about the product into the chat box.

[0739] Step 20:

[0740] The terminal sends the user's question to the server.

[0741] Step 21:

[0742] The server passes the question to the generation AI and emotion engine, which then generates an appropriate answer.

[0743] Step 22:

[0744] Generative AI generates the best answer to a question, and an emotion engine adjusts the tone and content of the answer based on the user's emotions.

[0745] Step 23:

[0746] The server sends the generated response to the terminal.

[0747] Step 24:

[0748] The device displays the answers provided by the virtual influencers to the user.

[0749] Step 25:

[0750] The user clicks the purchase button to purchase the product they like.

[0751] Step 26:

[0752] The terminal sends the purchase request and payment information to the server.

[0753] Step 27:

[0754] The server verifies the payment information and processes the purchase.

[0755] Step 28:

[0756] The server sends a notification of purchase completion to the device.

[0757] Step 29:

[0758] The terminal displays a purchase completion message to the user.

[0759] Specific examples

[0760] If a user starts a live session on their smartphone at home at 2 AM and is looking for a new phone case, the process would go like this:

[0761] After the processes from step 1 to step 11 are completed, the user starts a live session (step 12). The server generates a virtual store environment using the generation AI and emotion engine (step 14), and the terminal displays this virtual store environment (step 15).

[0762] The server generates an appropriate product list based on the user's past interests and purchase history (steps 16 and 17), and the virtual influencer begins introducing these products (step 18).

[0763] When a user inputs a question such as "Is this case waterproof?" (step 19), the device sends the question to the server (step 20), and the server uses a generative AI and emotion engine to generate an appropriate answer and sends it to the device (steps 21 to 23). The virtual influencer displays the answer based on the user's emotion (step 24).

[0764] When the user clicks the purchase button to purchase a product they like (step 25), the terminal sends a purchase request and payment information to the server (step 26), the server processes the purchase (step 27), and sends a notification of purchase completion to the terminal and displays it to the user (steps 28 and 29).

[0765] Example 2

[0766] Next, a description will be given of 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."

[0767] In conventional online shopping systems, it was difficult for users to ask questions about products or experience interactions based on their emotions.In addition, personalized product recommendations that reflected users' past purchase history and interests were not sufficiently implemented, making it difficult to increase user satisfaction.

[0768] 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.

[0769] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for the user to ask questions about products, a means for responding to the questions, a means for purchasing products on the spot, an emotion engine that recognizes the user's emotions and reflects them in the avatar and interactions, and a means for generating a product list based on the user's past interests and purchase history, thereby enabling personalized interactions and product recommendations based on the user's emotions and interests.

[0770] The "avatar generation means" is a means for generating an avatar based on the appearance characteristics of a user.

[0771] The "motion generation means" is a means for generating the motion of the avatar controlled by the user.

[0772] The "conversation generation means" is a means for generating dialogue and question-and-answer sessions with the user.

[0773] The "virtual environment generating means" is a means for generating a virtual environment in which an avatar operated by a user and other elements exist.

[0774] The "means for users to ask questions about products" refers to the means by which users input questions about products to the system.

[0775] "Means for responding to the question" refers to means for generating the most appropriate answer to the question from the user.

[0776] The "means for purchasing products on the spot" refers to a means for a user to purchase a product selected by the user in real time.

[0777] The "emotion engine" is an engine that recognizes the user's emotions and reflects them in the avatar and interactions.

[0778] The "means for generating a product list" is a means for generating a product list based on the user's past interests and purchase history.

[0779] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and a specific embodiment is described below that provides interactions according to the user's emotions by combining an emotion engine.

[0780] Overall system configuration

[0781] This system consists of a user device, a server, a generation AI, and an emotion engine. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time and uses the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion engine recognizes the user's emotions and reflects them in the avatar and interactions.

[0782] Creating and Managing User Accounts

[0783] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database. The hardware used is a general server system (e.g., a cloud environment), and communication uses the SSL / TLS protocol.

[0784] Avatar generation

[0785] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends them from the device to the server. The server uses a generative AI (e.g., GPT-3) and an emotion engine to generate an avatar based on these characteristics and sends the data to the device. The emotion engine (e.g., Emotion AI) recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[0786] Starting a Live Session

[0787] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion engine, and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0788] Product Introduction

[0789] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. The emotion engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[0790] Interactive Question and Answering

[0791] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI (e.g., natural language processing models) and an emotion engine to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user. The emotion engine recognizes the user's emotions and adjusts the tone and content of the answer according to their state.

[0792] Real-time product purchases

[0793] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase using a security protocol based on the PCI DSS (Payment Card Industry Data Security Standard). Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0794] Specific examples

[0795] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The emotion engine then recognizes the user's facial expression and, if it determines interest, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment.

[0796] Prompt Sentence Examples

[0797] "You have a system where users can create avatars and purchase products 24 / 7. The system uses an emotion engine to provide interactions based on the user's emotions. Start a live session with the following conditions:

[0798] It's 2 AM

[0799] Looking for a smartphone case

[0800] Asking "Is this case waterproof?"

[0801] Generate conversation content for your virtual influencers based on these conditions.

[0802] Interact with users based on their emotions

[0803] Explain the waterproof function

[0804] Based on this prompt, the generative AI model generates dialogue content that corresponds to the user's emotions and provides it in real time in conjunction with the emotion engine.

[0805] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0806] Step 1:

[0807] Creating a user account

[0808] Input: The user enters their name, email address, and password.

[0809] Specific operation: The terminal receives this information through the input form and encrypts it using the SSL / TLS protocol.

[0810] Data processing / calculation: The terminal converts the input data into a structured format (e.g., JSON) and sends the encrypted data to the server.

[0811] Output: The server stores the received data in a database and sends a response to the device confirming the completion of the account creation.

[0812] Step 2:

[0813] Avatar generation

[0814] Input: The user inputs the avatar's appearance characteristics (hairstyle, eye color, clothing, etc.).

[0815] Specific operation: The terminal receives the appearance characteristic data through the input form and sends it to the server.

[0816] Data processing / computation: The server generates an avatar based on the input data using a generative AI model (e.g., GPT-3) and an emotion engine (e.g., Emotion AI). The generative AI model creates a 3D avatar based on appearance features, and the emotion engine adds facial expressions that reflect the user's emotions.

[0817] Output: The generated avatar data is sent from the server to the terminal, and the terminal displays this data to the user.

[0818] Step 3:

[0819] Starting a Live Session

[0820] Input: A user requests to start a live session.

[0821] Specific operation: The terminal receives a user request and sends it to the server.

[0822] Data processing / computation: The server generates the virtual environment using a generative AI model and uses an emotion engine to create an appropriate environment based on the user's emotional state.

[0823] Output: The generated virtual environment data is sent from the server to the terminal, which displays this data to the user. The virtual influencer begins to operate.

[0824] Step 4:

[0825] Product Introduction

[0826] Input: User's past interests and purchase history data.

[0827] Specific operation: The server retrieves the user's past interests and purchase history from a database.

[0828] Data processing / calculation: The server uses a generative AI model to generate a product list based on the acquired data. The emotion engine analyzes the user's reactions in real time and adjusts the list to prioritize the introduction of products that the user is interested in.

[0829] Output: The generated product list is introduced to the user through the virtual influencer.

[0830] Step 5:

[0831] Interactive Question and Answering

[0832] Input: The question the user entered about the product.

[0833] Specific operation: The terminal receives the user's question through an input form and sends it to the server.

[0834] Data processing / calculation: The server analyzes the received question and generates the optimal answer using a generative AI model (e.g., natural language processing model) and an emotion engine. The emotion engine adjusts the tone and content of the answer depending on the user's emotional state.

[0835] Output: The generated answers are provided to the user through the virtual influencer.

[0836] Step 6:

[0837] Real-time product purchases

[0838] Input: The user presses the purchase button and enters payment information.

[0839] Specific operation: The terminal receives the purchase request and payment information and sends them to the server.

[0840] Data processing / calculation: The server verifies the received payment information based on PCI DSS and processes the purchase.

[0841] Output: If the purchase is successful, the server sends a success message to the terminal, which displays it to the user. If the purchase is unsuccessful, an error message is sent to the terminal and displayed to the user.

[0842] The above is a detailed description of the specific processing steps in this system and the operations performed at each step.

[0843] (Application example 2)

[0844] 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."

[0845] Conventional online shopping systems have challenges in providing an intuitive and fast purchasing experience because users have to search multiple pages and read product descriptions to find the information they need. Furthermore, they only provide a uniform interface and information without considering the user's emotions or interests, which means they do not provide a personalized experience optimized for each individual user. This can result in a poor user experience and a lower conversion rate.

[0846] 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.

[0847] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for a user to ask a question about a product, a means for responding to the question, a means for purchasing the product on the spot, an emotion recognition means for recognizing the user's emotion, a means for optimizing the product description based on the emotion recognition, and a prompt sentence generation means for generating an optimal answer using a generative AI model. This allows the user to intuitively and quickly obtain the information they need, enabling a personalized shopping experience.

[0848] The "avatar generation means" is a device or program that has the function of generating an avatar based on the user's preferred appearance characteristics.

[0849] The "motion generation means" is a device or program that has the function of generating and displaying the motions of the avatar when introducing the product.

[0850] The "conversation generation means" is a device or program that has the function of generating a dialogue with the user.

[0851] The "virtual environment generating means" is a device or program that has the function of generating a virtual environment in which a user can purchase products through an avatar.

[0852] The "means for users to ask questions about products" refers to a device or program that has an interface for users to input questions about products.

[0853] The "means for responding to the question" is a device or program that has the function of generating and presenting an answer to the user's question.

[0854] The "means for purchasing products on the spot" refers to a device or program that has the function of allowing a user to select a product and complete the purchase procedure immediately on the spot.

[0855] The "emotion recognition means for recognizing the user's emotions" is a device or program that has the function of detecting and recognizing emotions from the user's facial expressions, voice, etc.

[0856] The "means for optimizing product description based on emotion recognition" is a device or program that has the function of adjusting the content and method of product description based on the recognized user emotion.

[0857] A "prompt sentence generation means that generates optimal answers using a generative AI model" is a device or program that has the function of generating prompt sentences using a generative AI model in response to questions from users and providing those answers in real time.

[0858] The following is a detailed description of an embodiment of the present invention. The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and provides interactions that correspond to the user's emotions by combining an emotion engine.

[0859] Overall system configuration

[0860] This system consists of a user device, a server, a generation AI, and an emotion recognition engine. Users create an account using their own device (smartphone, head-mounted display, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, and uses the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion recognition engine recognizes the user's emotions and reflects them in the avatar and interactions.

[0861] Creating and Managing User Accounts

[0862] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[0863] Avatar generation

[0864] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generation AI and emotion recognition engine to generate an avatar based on these characteristics and sends the data to the device. The emotion recognition engine recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[0865] Starting a Live Session

[0866] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion recognition engine and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0867] Product Introduction

[0868] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. An emotion recognition engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[0869] Interactive Question and Answering

[0870] Users input questions about products they are interested in through their devices. The questions are sent to the server, which uses generative AI and an emotion recognition engine to generate the optimal answer to the question as a prompt. The virtual influencer then provides the generated answer to the user. For example, if a user asks, "Is this case waterproof?", the generative AI model will respond, "Yes, this case has IP68 waterproof capabilities."

[0871] Real-time product purchases

[0872] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0873] Specific examples

[0874] For example, consider a scenario where a user starts a live session at home using their smartphone and is looking for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The generative AI model immediately replies, "Yes, this case is IP68 waterproof." The emotion recognition engine then recognizes the user's facial expression and, if it determines that the user is interested, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment. This allows users to obtain information intuitively and quickly, enabling a personalized shopping experience.

[0875] As a specific example of a prompt sentence, if a user enters, "Do you have any green running shoes?", the generative AI model will respond, "Yes, these are the green running shoes." In this way, responses using the generative AI model enable real-time interactive question answering.

[0876] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0877] Step 1:

[0878] A user accesses the platform and creates an account by entering their name, email address, and password.

[0879] Enter your name, email address, and password.

[0880] Data processing / calculation: User information is sent to the server and stored in the database.

[0881] Output: User account creation success message.

[0882] Step 2:

[0883] The user inputs appearance characteristics (hairstyle, eye color, clothing, etc.) to create an avatar.

[0884] Input: User's appearance characteristics (hairstyle, eye color, clothing, etc.).

[0885] Data processing / calculation: Appearance feature data is sent from the device to the server, the generation AI generates an avatar, and the emotion recognition engine generates facial expressions for the avatar that correspond to the user's facial expressions and emotions.

[0886] Output: Send the generated avatar data to the terminal and display it to the user.

[0887] Step 3:

[0888] A user sends a request to start a live session from a terminal to a server.

[0889] Input: Live session start request.

[0890] Data processing / calculation: The server generates a virtual environment using AI and an emotion recognition engine.

[0891] Output: Sends virtual environment data to the terminal and displays it to the user.

[0892] Step 4:

[0893] The server generates a product list based on the user's past interests and purchasing history.

[0894] Input: User's past interests and purchasing history.

[0895] Data processing / calculation: User history information is obtained from the database, and the generation AI generates an appropriate product list.

[0896] Output: Generate a product list and have the product showcased by a virtual influencer in a virtual environment.

[0897] Step 5:

[0898] The user inputs a question about a product that interests them.

[0899] Input: Product question.

[0900] Data processing / calculation: Question data is sent to the server, the generation AI generates the optimal answer as a prompt, and the emotion recognition engine adjusts the answer based on the user's emotions.

[0901] Output: The virtual influencer provides the generated answer to the user.

[0902] Step 6:

[0903] The user decides to purchase and presses the purchase button on the terminal.

[0904] Input: Purchase request, payment information.

[0905] Data processing / calculation: The purchase request and payment information are sent to the server, which verifies the information and completes the purchase process.

[0906] Output: Sends a purchase completion message to the terminal and displays it to the user.

[0907] Responding to specific example prompts

[0908] For example, if a user types, "Do you have green running shoes?", the generative AI model will respond, "Yes, these are green running shoes," and the emotion recognition engine will recognize the user's interests and provide further clarification.

[0909] This detailed processing at every step of the visual system ensures that users are provided with an intuitive and personalized shopping experience.

[0910] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0911] 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 generation 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 voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0912] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0913] [Third embodiment]

[0914] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0915] 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.

[0916] 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0917] 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.

[0918] 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 audio in accordance with instructions from the processor 46.

[0919] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0920] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0921] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0922] 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.

[0923] 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.

[0924] In the headset type terminal 314, a 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.

[0925] 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."

[0926] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and is configured as follows as a specific embodiment.

[0927] Overall system configuration

[0928] This system consists of a user's device, a server, and a generation AI. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, and uses the generation AI to generate the avatar, movements, conversations, and virtual environment.

[0929] Creating and Managing User Accounts

[0930] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[0931] Avatar generation

[0932] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generative AI to generate an avatar based on these characteristics and sends the data to the device. The device then displays the generated avatar to the user.

[0933] Starting a Live Session

[0934] When a user requests to start a live session, the device sends the request to the server, which uses generative AI to generate a virtual environment and transmits the environment data to the device, which then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[0935] Product Introduction

[0936] The server generates a product list based on the user's past interests and purchase history. This product list is then presented by a virtual influencer in the generated virtual environment. The virtual influencer then explains the selected products to the user and introduces their features in detail.

[0937] Interactive Question and Answering

[0938] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI to generate the best possible answers to those questions in real time. The virtual influencer then provides the generated answers to the users.

[0939] Real-time product purchases

[0940] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[0941] Specific examples

[0942] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then starts showcasing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" and the virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The user then purchases the case they like and instantly completes the payment.

[0943] The system of the present invention allows users to purchase products with a high degree of satisfaction, without being restricted by time or place.

[0944] The processing flow will be explained below.

[0945] Step 1:

[0946] A user accesses the platform and creates an account by entering their name, email address, and password.

[0947] Step 2:

[0948] The device sends the user's input in JSON format to the server.

[0949] Step 3:

[0950] The server verifies the received user information and stores it in a database.

[0951] Step 4:

[0952] The server sends a response to the terminal indicating that the account creation has been completed.

[0953] Step 5:

[0954] The device will display a message to the user confirming account creation.

[0955] Step 6:

[0956] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.).

[0957] Step 7:

[0958] The device sends customization information in JSON format to the server.

[0959] Step 8:

[0960] The server passes customization information to the generation AI and requests it to generate an avatar.

[0961] Step 9:

[0962] The generation AI generates an avatar based on the customization information and returns the data to the server.

[0963] Step 10:

[0964] The server sends the generated avatar data to the device.

[0965] Step 11:

[0966] The terminal displays the generated avatar to the user.

[0967] Step 12:

[0968] The user clicks the Start Live Session button.

[0969] Step 13:

[0970] The terminal sends a live session request to the server.

[0971] Step 14:

[0972] The server requests the generation AI to generate a virtual store environment and sends the data to the terminal.

[0973] Step 15:

[0974] The terminal displays the generated virtual store environment to the user and initiates the operation of the virtual influencer.

[0975] Step 16:

[0976] The server generates a product list based on the user's past interests and purchasing history.

[0977] Step 17:

[0978] The server passes the generated product list to the virtual influencer.

[0979] Step 18:

[0980] The virtual influencer introduces selected products based on the product list to the user.

[0981] Step 19:

[0982] The user types a question about the product into the chat box.

[0983] Step 20:

[0984] The terminal sends the user's question to the server.

[0985] Step 21:

[0986] The server passes the question to the generation AI, which then generates an appropriate answer.

[0987] Step 22:

[0988] The generative AI generates the best answer to the question and returns that data to the server.

[0989] Step 23:

[0990] The server sends the generated response to the terminal.

[0991] Step 24:

[0992] The device displays the answers provided by the virtual influencers to the user.

[0993] Step 25:

[0994] The user clicks the purchase button to purchase the product they like.

[0995] Step 26:

[0996] The terminal sends the purchase request and payment information to the server.

[0997] Step 27:

[0998] The server verifies the payment information and processes the purchase.

[0999] Step 28:

[1000] The server sends a notification of purchase completion to the device.

[1001] Step 29:

[1002] The terminal displays a purchase completion message to the user.

[1003] Example 1

[1004] 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."

[1005] In conventional online shopping systems, the process of users selecting, asking questions about, and purchasing products is complicated, making it difficult to carry out this process efficiently in real time, 24 hours a day, 365 days a year. Another issue is that users often have to spend a lot of time resolving questions about products, which can slow down the process of making a purchase decision. There was a need to solve these problems and improve convenience and user satisfaction.

[1006] 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.

[1007] In this invention, the server includes an account creation means, an avatar generation means, a virtual environment generation means, a means for generating a product list based on the user's past interests and purchase history, a means for the user to ask questions about products, a means for responding to the questions, and a means for purchasing products on the spot. This allows users to customize their avatars based on their preferences, receive responses to their questions in real time, and efficiently purchase products 24 hours a day, 365 days a year.

[1008] Below are definitions of important words.

[1009] The "account creation means" is a function that allows a user to create an account by entering information such as name, email address, and password, and then send that information to the server and store it in a database.

[1010] The "avatar generation means" is a function that allows a user to input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.), generate an avatar based on that information using a generative AI model, and display that data to the user.

[1011] The "virtual environment generation means" is a function that generates a virtual environment using a generative AI model based on a user request and displays that data to the user.

[1012] "Means for generating a product list based on the user's past interests and purchase history" is a function in which the server generates a product list that is optimal for the user based on the user's past purchase history and interests stored in the database.

[1013] The "means for users to ask questions about products" is an interface function that allows users to input questions about products in which they are interested and send those questions to the server.

[1014] The "means for responding to the question" is a function that uses a generative AI model to generate the optimal answer to the question received by the server and provides that answer to the user.

[1015] The "means for purchasing a product on the spot" is a function that allows a user to decide to purchase a product, transmit a purchase request and payment information to the server, and then process the purchase and notify the user of its completion.

[1016] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and is configured as follows as a specific embodiment.

[1017] Overall system configuration

[1018] This system consists of a user's device (smartphone, PC, etc.), a server, and a generative AI model. Users create an account using their own device, generate an avatar, and start a live session. The server responds to user requests in real time, using the generative AI model to generate avatars, movements, conversations, and virtual environments.

[1019] Hardware and software used

[1020] User's device: A device that can connect to the internet, such as a smartphone or PC

[1021] Server: A high-performance server that responds to user requests in real time.

[1022] Generative AI models: AI models for generating avatars, actions, conversations, and virtual environments (e.g., open-source AI models)

[1023] Creating and Managing User Accounts

[1024] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database. The server can use a database management system such as MySQL or PostgreSQL.

[1025] Avatar generation

[1026] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends them from the device to the server. The server uses a generative AI model to generate an avatar based on these characteristics and sends the data to the device. The device then displays the generated avatar to the user. Examples of generative AI models that can be used include DeepArt and GAN (Generative Adversarial Network).

[1027] Starting a Live Session

[1028] When a user requests to start a live session, the device sends the request to the server, which generates a virtual environment using a generative AI model and transmits the environment data to the device, which then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1029] Product Introduction

[1030] The server generates a product list based on the user's past interests and purchase history. This product list is then presented by a virtual influencer in the generated virtual environment. The virtual influencer then explains the selected products to the user and introduces their features in detail.

[1031] Interactive Question and Answering

[1032] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses a generative AI model to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user.

[1033] Real-time product purchases

[1034] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1035] Specific examples

[1036] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then starts showcasing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" and the virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The user then purchases the case they like and instantly completes the payment.

[1037] Prompt Sentence Examples

[1038] An example of a prompt to input to the generative AI model is, "A user is about to start a live session at 2 AM. Please generate a scene in which a virtual influencer introduces a new smartphone case."

[1039] This invention allows users to purchase products with a high degree of satisfaction, without being restricted by time or place.

[1040] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1041] Step 1:

[1042] Creating a user account and logging in

[1043] Input: The user enters their name, email address, and password into the device.

[1044] Specific operation: When the user presses the "Register" button, the terminal sends this information to the server.

[1045] Data processing and data calculation: The server verifies the received user information and converts it into a format for storage in the database.

[1046] Output: A message is sent back to the device informing the user that the account creation was successful.

[1047] Step 2:

[1048] Users can create avatars by specifying their preferred appearance features.

[1049] Input: The user inputs appearance characteristics (hairstyle, eye color, clothing, etc.) into the terminal.

[1050] Specific operation: When the user presses the "Generate Avatar" button, the device sends this information to the server.

[1051] Data processing and data calculation: The server sends prompts to the generative AI model to generate an avatar based on these features.

[1052] Output: The generated avatar data is sent back to the device, which displays the avatar on the user's screen.

[1053] Step 3:

[1054] Starting a Live Session

[1055] Input: The user types a request to start a live session into the terminal.

[1056] Specific operation: When the user presses the "Start Live Session" button, the terminal sends a request to the server.

[1057] Data processing and data calculation: The server sends prompts to the generative AI model to generate a virtual environment, and then sends the generated virtual environment data to the terminal.

[1058] Output: The device displays the virtual environment and the actions of the virtual influencer on the screen.

[1059] Step 4:

[1060] Product Listing Generation and Introduction

[1061] Input: The server retrieves the user's past interests and purchase history from a database.

[1062] Specific operation: The server sends prompts to the generative AI model based on this data to generate the optimal product list, and then reflects the generated product list data in the virtual environment.

[1063] Data processing and data calculation: Analyze past history extracted from the database and generate a product list.

[1064] Output: The virtual influencer displays the product list and introduces it to the user.

[1065] Step 5:

[1066] Interactive Question and Answering

[1067] Input: The user inputs a question about the product into the terminal.

[1068] Specific operation: When a user enters a question and presses the "Send" button, the terminal sends the question to the server.

[1069] Data processing and data calculation: The server sends prompts to the generative AI model to generate the best answer to the input question.

[1070] Output: The device displays the answers generated by the virtual influencer.

[1071] Step 6:

[1072] Real-time product purchases

[1073] Input: The user decides to purchase the product and presses the purchase button on the terminal.

[1074] Specific operation: When the user presses the "Purchase" button, the terminal sends a purchase request and payment information to the server.

[1075] Data processing and data calculation: The server verifies the payment information and executes the purchase process.

[1076] Output: A message is sent back to the terminal to be displayed to the user informing them that the purchase has been completed.

[1077] (Application example 1)

[1078] 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."

[1079] In modern online shopping systems, users search for, browse, and purchase product information, but the experience is one-way, and users have limited means of obtaining detailed information about products. There is also a lack of real-time, interactive methods for product introductions and question-and-answer sessions. This creates challenges in terms of not sufficiently improving user satisfaction or stimulating purchasing motivation.

[1080] 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.

[1081] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for a user to ask questions about products, a means for responding to the questions, a means for purchasing products on the spot, a means for a virtual influencer to introduce products in real time, and a means for generating a product list based on the user's interests and purchase history, thereby enabling users to enjoy a virtual shopping experience 24 hours a day, 365 days a year through real-time product introductions and question-answering by the virtual influencer.

[1082] An "avatar" is a character that a user acts on their behalf in a virtual environment.

[1083] "Avatar generation means" refers to a technical means for creating a virtual character based on the user's preferences and specifications.

[1084] The "motion generation means" is a technical means for automatically generating and displaying the motions that the avatar performs within the virtual environment.

[1085] "Conversation generation means" refers to a technical means for generating a dialogue with a user through an avatar.

[1086] "Virtual environment generation means" refers to the technical means for constructing virtual spaces and scenes for users to interact with.

[1087] The "means for users to ask questions about products" is an interface that allows users to input questions about products in which they are interested.

[1088] "Means for responding to questions" refers to technical means for generating and providing appropriate answers to user questions.

[1089] "Means for purchasing products on the spot" refers to technical means for users to purchase products they like in real time.

[1090] "Means for virtual influencers to introduce products in real time" refers to a technological means for virtual characters to introduce products in accordance with real time.

[1091] "Means for generating a product list based on a user's interests and purchase history" refers to a technical means for analyzing past user behavior data and automatically generating an interesting product list based on that data.

[1092] This invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and specific embodiments thereof are as follows.

[1093] First, a user creates an account using their own device (such as a smartphone or personal computer) and generates an avatar. The user enters information such as their name, email address, and password, and sends this information to the server. The server stores the entered information in a database and manages the user account.

[1094] Next, the user uses the avatar generation means to specify their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends this information to the server. The server uses a generative AI model to generate an avatar based on the specified characteristics and sends the data to the terminal. The generated avatar is then displayed on the user's terminal.

[1095] The user sends a request to start a live session from their device to the server. The server generates a virtual environment using a generative AI model and sends the environment data to the device. The user's device displays the generated virtual environment to the user, and the virtual influencer operates in real time. At this time, the virtual influencer's actions introducing the product within the virtual environment are generated and displayed to the user.

[1096] The server generates an optimal product list based on the user's interests and past purchase history. This product list is introduced by a virtual influencer in the virtual environment. The user can input questions about products of interest through their device, and the questions are sent to the server. The server uses a generative AI model to generate optimal answers to the questions in real time, and the virtual influencer provides the generated answers to the user.

[1097] If the user decides to purchase a particular product, the device sends a purchase request and payment information to the server. The server verifies the payment information and executes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1098] For example, if a user requests, "Please introduce me to the latest wireless earphones," the server inputs the following text as a prompt into the generative AI model:

[1099] "Suggest products based on these interests: latest wireless earphones"

[1100] Based on these prompts, the generative AI model will recommend products that best suit the user's interests. Through this process, users can enjoy a satisfying shopping experience through virtual influencers, regardless of time or location.

[1101] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1102] Step 1:

[1103] A user creates an account. The user enters their name, email address, and password and sends that information from their device to the server. The server receives this information, stores it in a database, and creates a user account.

[1104] Input: Name, Email Address, Password

[1105] Output: A user account is created and saved in the database.

[1106] Step 2:

[1107] The user generates an avatar. The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends this information from the device to the server. The server uses a generative AI model to generate an avatar based on the user's specifications and sends the data to the device. The device displays the generated avatar to the user.

[1108] Input: Appearance feature data

[1109] Output: Avatar data displayed to the user

[1110] Step 3:

[1111] The user sends a request to start a live session. The device sends the request to the server, which uses a generative AI model to generate a virtual environment and sends the data to the device. The device then displays the generated virtual environment to the user, with the virtual influencer operating in real time.

[1112] Input: Live session start request

[1113] Output: Virtual environment data displayed to the user

[1114] Step 4:

[1115] The server generates a product list based on the user's interests and past purchase history. The server analyzes the user's past behavioral data and uses a generative AI model to generate an optimal product list based on that data. This product list is then introduced by a virtual influencer in the virtual environment.

[1116] Input: User interest and purchase history data

[1117] Output: Product list data

[1118] Step 5:

[1119] The user inputs a question about a product they are interested in. The device sends the question to the server, which uses a generative AI model to generate the optimal answer. The virtual influencer then provides the generated answer to the user.

[1120] Input: Product question data

[1121] Output: Answer data provided to the user

[1122] Step 6:

[1123] The user submits a request to purchase a specific product. The terminal sends the purchase request and payment information to the server, which verifies the payment information and executes the purchase. Once the purchase is complete, the server sends a completion message to the terminal, which is displayed to the user.

[1124] Input: Purchase request, payment information

[1125] Output: Purchase confirmation message and purchase completion information

[1126] For example, if a user requests, "Please recommend the latest wireless earphones," the following prompt sentence is generated: "Suggest products based on these interests: latest wireless earphones." The server inputs this prompt sentence into the generative AI model and recommends products that are appropriate for the user.

[1127] Furthermore, 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.

[1128] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and a specific embodiment that provides interactions according to the user's emotions by combining an emotion engine is described below.

[1129] Overall system configuration

[1130] This system consists of a user device, a server, a generation AI, and an emotion engine. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, using the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion engine recognizes the user's emotions and reflects them in the avatar and interactions.

[1131] Creating and Managing User Accounts

[1132] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[1133] Avatar generation

[1134] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generative AI and emotion engine to generate an avatar based on these characteristics and sends the data to the device. The emotion engine recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[1135] Starting a Live Session

[1136] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion engine and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1137] Product Introduction

[1138] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. The emotion engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[1139] Interactive Question and Answering

[1140] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI and an emotion engine to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user. The emotion engine recognizes the user's emotions and adjusts the tone and content of the answer according to their state.

[1141] Real-time product purchases

[1142] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1143] Specific examples

[1144] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The emotion engine then recognizes the user's facial expression and, if it determines interest, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment.

[1145] The system of the present invention allows users to purchase products with high satisfaction, regardless of time or location. In addition, by combining it with an emotion engine, interactions based on the user's emotions can be provided, resulting in a more personalized shopping experience.

[1146] The processing flow will be explained below.

[1147] Step 1:

[1148] A user accesses the platform and creates an account by entering their name, email address, and password.

[1149] Step 2:

[1150] The device sends the user's input in JSON format to the server.

[1151] Step 3:

[1152] The server verifies the received user information and stores it in a database.

[1153] Step 4:

[1154] The server sends a response to the terminal indicating that the account creation has been completed.

[1155] Step 5:

[1156] The device will display a message to the user confirming account creation.

[1157] Step 6:

[1158] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.).

[1159] Step 7:

[1160] The device sends customization information in JSON format to the server.

[1161] Step 8:

[1162] The server passes customization information to the generation AI and emotion engine and requests the generation of an avatar.

[1163] Step 9:

[1164] The generation AI generates an avatar based on customization information, and the emotion engine recognizes the user's facial expressions and emotional state to generate the avatar's facial expressions.

[1165] Step 10:

[1166] The server sends the generated avatar data to the device.

[1167] Step 11:

[1168] The terminal displays the generated avatar to the user.

[1169] Step 12:

[1170] The user clicks the Start Live Session button.

[1171] Step 13:

[1172] The terminal sends a live session request to the server.

[1173] Step 14:

[1174] The server requests the generation AI and emotion engine to generate a virtual store environment and sends the data to the terminal.

[1175] Step 15:

[1176] The terminal displays the generated virtual store environment to the user and initiates the operation of the virtual influencer.

[1177] Step 16:

[1178] The server generates a product list based on the user's past interests and purchasing history.

[1179] Step 17:

[1180] The server passes the generated product list to the virtual influencer.

[1181] Step 18:

[1182] The virtual influencer introduces selected products based on the product list to the user.

[1183] Step 19:

[1184] The user types a question about the product into the chat box.

[1185] Step 20:

[1186] The terminal sends the user's question to the server.

[1187] Step 21:

[1188] The server passes the question to the generation AI and emotion engine, which then generates an appropriate answer.

[1189] Step 22:

[1190] Generative AI generates the best answer to a question, and an emotion engine adjusts the tone and content of the answer based on the user's emotions.

[1191] Step 23:

[1192] The server sends the generated response to the terminal.

[1193] Step 24:

[1194] The device displays the answers provided by the virtual influencers to the user.

[1195] Step 25:

[1196] The user clicks the purchase button to purchase the product they like.

[1197] Step 26:

[1198] The terminal sends the purchase request and payment information to the server.

[1199] Step 27:

[1200] The server verifies the payment information and processes the purchase.

[1201] Step 28:

[1202] The server sends a notification of purchase completion to the device.

[1203] Step 29:

[1204] The terminal displays a purchase completion message to the user.

[1205] Specific examples

[1206] If a user starts a live session on their smartphone at home at 2 AM and is looking for a new phone case, the process would go like this:

[1207] After the processes from step 1 to step 11 are completed, the user starts a live session (step 12). The server generates a virtual store environment using the generation AI and emotion engine (step 14), and the terminal displays this virtual store environment (step 15).

[1208] The server generates an appropriate product list based on the user's past interests and purchase history (steps 16 and 17), and the virtual influencer begins introducing these products (step 18).

[1209] When a user inputs a question such as "Is this case waterproof?" (step 19), the device sends the question to the server (step 20), and the server uses a generative AI and emotion engine to generate an appropriate answer and sends it to the device (steps 21 to 23). The virtual influencer displays the answer based on the user's emotion (step 24).

[1210] When the user clicks the purchase button to purchase a product they like (step 25), the terminal sends a purchase request and payment information to the server (step 26), the server processes the purchase (step 27), and sends a notification of purchase completion to the terminal and displays it to the user (steps 28 and 29).

[1211] Example 2

[1212] Next, a description will be given of 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."

[1213] In conventional online shopping systems, it was difficult for users to ask questions about products or experience interactions based on their emotions.In addition, personalized product recommendations that reflected users' past purchase history and interests were not sufficiently implemented, making it difficult to increase user satisfaction.

[1214] 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.

[1215] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for the user to ask questions about products, a means for responding to the questions, a means for purchasing products on the spot, an emotion engine that recognizes the user's emotions and reflects them in the avatar and interactions, and a means for generating a product list based on the user's past interests and purchase history, thereby enabling personalized interactions and product recommendations based on the user's emotions and interests.

[1216] The "avatar generation means" is a means for generating an avatar based on the appearance characteristics of a user.

[1217] The "motion generation means" is a means for generating the motion of the avatar controlled by the user.

[1218] The "conversation generation means" is a means for generating dialogue and question-and-answer sessions with the user.

[1219] The "virtual environment generating means" is a means for generating a virtual environment in which an avatar operated by a user and other elements exist.

[1220] The "means for users to ask questions about products" refers to the means by which users input questions about products to the system.

[1221] "Means for responding to the question" refers to means for generating the most appropriate answer to the question from the user.

[1222] The "means for purchasing products on the spot" refers to a means for a user to purchase a product selected by the user in real time.

[1223] The "emotion engine" is an engine that recognizes the user's emotions and reflects them in the avatar and interactions.

[1224] The "means for generating a product list" is a means for generating a product list based on the user's past interests and purchase history.

[1225] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and a specific embodiment is described below that provides interactions according to the user's emotions by combining an emotion engine.

[1226] Overall system configuration

[1227] This system consists of a user device, a server, a generation AI, and an emotion engine. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time and uses the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion engine recognizes the user's emotions and reflects them in the avatar and interactions.

[1228] Creating and Managing User Accounts

[1229] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database. The hardware used is a general server system (e.g., a cloud environment), and communication uses the SSL / TLS protocol.

[1230] Avatar generation

[1231] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends them from the device to the server. The server uses a generative AI (e.g., GPT-3) and an emotion engine to generate an avatar based on these characteristics and sends the data to the device. The emotion engine (e.g., Emotion AI) recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[1232] Starting a Live Session

[1233] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion engine, and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1234] Product Introduction

[1235] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. The emotion engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[1236] Interactive Question and Answering

[1237] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI (e.g., natural language processing models) and an emotion engine to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user. The emotion engine recognizes the user's emotions and adjusts the tone and content of the answer according to their state.

[1238] Real-time product purchases

[1239] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase using a security protocol based on the PCI DSS (Payment Card Industry Data Security Standard). Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1240] Specific examples

[1241] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The emotion engine then recognizes the user's facial expression and, if it determines interest, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment.

[1242] Prompt Sentence Examples

[1243] "You have a system where users can create avatars and purchase products 24 / 7. The system uses an emotion engine to provide interactions based on the user's emotions. Start a live session with the following conditions:

[1244] It's 2 AM

[1245] Looking for a smartphone case

[1246] Asking "Is this case waterproof?"

[1247] Generate conversation content for your virtual influencers based on these conditions.

[1248] Interact with users based on their emotions

[1249] Explain the waterproof function

[1250] Based on this prompt, the generative AI model generates dialogue content that corresponds to the user's emotions and provides it in real time in conjunction with the emotion engine.

[1251] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1252] Step 1:

[1253] Creating a user account

[1254] Input: The user enters their name, email address, and password.

[1255] Specific operation: The terminal receives this information through the input form and encrypts it using the SSL / TLS protocol.

[1256] Data processing / calculation: The terminal converts the input data into a structured format (e.g., JSON) and sends the encrypted data to the server.

[1257] Output: The server stores the received data in a database and sends a response to the device confirming the completion of the account creation.

[1258] Step 2:

[1259] Avatar generation

[1260] Input: The user inputs the avatar's appearance characteristics (hairstyle, eye color, clothing, etc.).

[1261] Specific operation: The terminal receives the appearance characteristic data through the input form and sends it to the server.

[1262] Data processing / computation: The server generates an avatar based on the input data using a generative AI model (e.g., GPT-3) and an emotion engine (e.g., Emotion AI). The generative AI model creates a 3D avatar based on appearance features, and the emotion engine adds facial expressions that reflect the user's emotions.

[1263] Output: The generated avatar data is sent from the server to the terminal, and the terminal displays this data to the user.

[1264] Step 3:

[1265] Starting a Live Session

[1266] Input: A user requests to start a live session.

[1267] Specific operation: The terminal receives a user request and sends it to the server.

[1268] Data processing / computation: The server generates the virtual environment using a generative AI model and uses an emotion engine to create an appropriate environment based on the user's emotional state.

[1269] Output: The generated virtual environment data is sent from the server to the terminal, which displays this data to the user. The virtual influencer begins to operate.

[1270] Step 4:

[1271] Product Introduction

[1272] Input: User's past interests and purchase history data.

[1273] Specific operation: The server retrieves the user's past interests and purchase history from a database.

[1274] Data processing / calculation: The server uses a generative AI model to generate a product list based on the acquired data. The emotion engine analyzes the user's reactions in real time and adjusts the list to prioritize the introduction of products that the user is interested in.

[1275] Output: The generated product list is introduced to the user through the virtual influencer.

[1276] Step 5:

[1277] Interactive Question and Answering

[1278] Input: The question the user entered about the product.

[1279] Specific operation: The terminal receives the user's question through an input form and sends it to the server.

[1280] Data processing / calculation: The server analyzes the received question and generates the optimal answer using a generative AI model (e.g., natural language processing model) and an emotion engine. The emotion engine adjusts the tone and content of the answer depending on the user's emotional state.

[1281] Output: The generated answers are provided to the user through the virtual influencer.

[1282] Step 6:

[1283] Real-time product purchases

[1284] Input: The user presses the purchase button and enters payment information.

[1285] Specific operation: The terminal receives the purchase request and payment information and sends them to the server.

[1286] Data processing / calculation: The server verifies the received payment information based on PCI DSS and processes the purchase.

[1287] Output: If the purchase is successful, the server sends a success message to the terminal, which displays it to the user. If the purchase is unsuccessful, an error message is sent to the terminal and displayed to the user.

[1288] The above is a detailed description of the specific processing steps in this system and the operations performed at each step.

[1289] (Application example 2)

[1290] 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."

[1291] Conventional online shopping systems have challenges in providing an intuitive and fast purchasing experience because users have to search multiple pages and read product descriptions to find the information they need. Furthermore, they only provide a uniform interface and information without considering the user's emotions or interests, which means they do not provide a personalized experience optimized for each individual user. This can result in a poor user experience and a lower conversion rate.

[1292] 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.

[1293] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for a user to ask a question about a product, a means for responding to the question, a means for purchasing the product on the spot, an emotion recognition means for recognizing the user's emotion, a means for optimizing the product description based on the emotion recognition, and a prompt sentence generation means for generating an optimal answer using a generative AI model. This allows the user to intuitively and quickly obtain the information they need, enabling a personalized shopping experience.

[1294] The "avatar generation means" is a device or program that has the function of generating an avatar based on the user's preferred appearance characteristics.

[1295] The "motion generation means" is a device or program that has the function of generating and displaying the motions of the avatar when introducing the product.

[1296] The "conversation generation means" is a device or program that has the function of generating a dialogue with the user.

[1297] The "virtual environment generating means" is a device or program that has the function of generating a virtual environment in which a user can purchase products through an avatar.

[1298] The "means for users to ask questions about products" refers to a device or program that has an interface for users to input questions about products.

[1299] The "means for responding to the question" is a device or program that has the function of generating and presenting an answer to the user's question.

[1300] The "means for purchasing products on the spot" refers to a device or program that has the function of allowing a user to select a product and complete the purchase procedure immediately on the spot.

[1301] The "emotion recognition means for recognizing the user's emotions" is a device or program that has the function of detecting and recognizing emotions from the user's facial expressions, voice, etc.

[1302] The "means for optimizing product description based on emotion recognition" is a device or program that has the function of adjusting the content and method of product description based on the recognized user emotion.

[1303] A "prompt sentence generation means that generates optimal answers using a generative AI model" is a device or program that has the function of generating prompt sentences using a generative AI model in response to questions from users and providing those answers in real time.

[1304] The following is a detailed description of an embodiment of the present invention. The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and provides interactions that correspond to the user's emotions by combining an emotion engine.

[1305] Overall system configuration

[1306] This system consists of a user device, a server, a generation AI, and an emotion recognition engine. Users create an account using their own device (smartphone, head-mounted display, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, and uses the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion recognition engine recognizes the user's emotions and reflects them in the avatar and interactions.

[1307] Creating and Managing User Accounts

[1308] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[1309] Avatar generation

[1310] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generation AI and emotion recognition engine to generate an avatar based on these characteristics and sends the data to the device. The emotion recognition engine recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[1311] Starting a Live Session

[1312] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion recognition engine and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1313] Product Introduction

[1314] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. An emotion recognition engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[1315] Interactive Question and Answering

[1316] Users input questions about products they are interested in through their devices. The questions are sent to the server, which uses generative AI and an emotion recognition engine to generate the optimal answer to the question as a prompt. The virtual influencer then provides the generated answer to the user. For example, if a user asks, "Is this case waterproof?", the generative AI model will respond, "Yes, this case has IP68 waterproof capabilities."

[1317] Real-time product purchases

[1318] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1319] Specific examples

[1320] For example, consider a scenario where a user starts a live session at home using their smartphone and is looking for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The generative AI model immediately replies, "Yes, this case is IP68 waterproof." The emotion recognition engine then recognizes the user's facial expression and, if it determines that the user is interested, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment. This allows users to obtain information intuitively and quickly, enabling a personalized shopping experience.

[1321] As a specific example of a prompt sentence, if a user enters, "Do you have any green running shoes?", the generative AI model will respond, "Yes, these are the green running shoes." In this way, responses using the generative AI model enable real-time interactive question answering.

[1322] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1323] Step 1:

[1324] A user accesses the platform and creates an account by entering their name, email address, and password.

[1325] Enter your name, email address, and password.

[1326] Data processing / calculation: User information is sent to the server and stored in the database.

[1327] Output: User account creation success message.

[1328] Step 2:

[1329] The user inputs appearance characteristics (hairstyle, eye color, clothing, etc.) to create an avatar.

[1330] Input: User's appearance characteristics (hairstyle, eye color, clothing, etc.).

[1331] Data processing / calculation: Appearance feature data is sent from the device to the server, the generation AI generates an avatar, and the emotion recognition engine generates facial expressions for the avatar that correspond to the user's facial expressions and emotions.

[1332] Output: Send the generated avatar data to the terminal and display it to the user.

[1333] Step 3:

[1334] A user sends a request to start a live session from a terminal to a server.

[1335] Input: Live session start request.

[1336] Data processing / calculation: The server generates a virtual environment using AI and an emotion recognition engine.

[1337] Output: Sends virtual environment data to the terminal and displays it to the user.

[1338] Step 4:

[1339] The server generates a product list based on the user's past interests and purchasing history.

[1340] Input: User's past interests and purchasing history.

[1341] Data processing / calculation: User history information is obtained from the database, and the generation AI generates an appropriate product list.

[1342] Output: Generate a product list and have the product showcased by a virtual influencer in a virtual environment.

[1343] Step 5:

[1344] The user inputs a question about a product that interests them.

[1345] Input: Product question.

[1346] Data processing / calculation: Question data is sent to the server, the generation AI generates the optimal answer as a prompt, and the emotion recognition engine adjusts the answer based on the user's emotions.

[1347] Output: The virtual influencer provides the generated answer to the user.

[1348] Step 6:

[1349] The user decides to purchase and presses the purchase button on the terminal.

[1350] Input: Purchase request, payment information.

[1351] Data processing / calculation: The purchase request and payment information are sent to the server, which verifies the information and completes the purchase process.

[1352] Output: Sends a purchase completion message to the terminal and displays it to the user.

[1353] Responding to specific example prompts

[1354] For example, if a user types, "Do you have green running shoes?", the generative AI model will respond, "Yes, these are green running shoes," and the emotion recognition engine will recognize the user's interests and provide further clarification.

[1355] This detailed processing at every step of the visual system ensures that users are provided with an intuitive and personalized shopping experience.

[1356] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1357] 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 generation 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 voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1358] 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.

[1359] [Fourth embodiment]

[1360] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1361] 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.

[1362] 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1363] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1364] 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 audio in accordance with instructions from the processor 46.

[1365] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1366] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1367] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1368] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1369] 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.

[1370] 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.

[1371] In the robot 414, the processor 46 performs the reception output process. 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.

[1372] Next, a description will be given of the specific processing performed 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."

[1373] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and is configured as follows as a specific embodiment.

[1374] Overall system configuration

[1375] This system consists of a user's device, a server, and a generation AI. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, and uses the generation AI to generate the avatar, movements, conversations, and virtual environment.

[1376] Creating and Managing User Accounts

[1377] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[1378] Avatar generation

[1379] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generative AI to generate an avatar based on these characteristics and sends the data to the device. The device then displays the generated avatar to the user.

[1380] Starting a Live Session

[1381] When a user requests to start a live session, the device sends the request to the server, which uses generative AI to generate a virtual environment and transmits the environment data to the device, which then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1382] Product Introduction

[1383] The server generates a product list based on the user's past interests and purchase history. This product list is then presented by a virtual influencer in the generated virtual environment. The virtual influencer then explains the selected products to the user and introduces their features in detail.

[1384] Interactive Question and Answering

[1385] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI to generate the best possible answers to those questions in real time. The virtual influencer then provides the generated answers to the users.

[1386] Real-time product purchases

[1387] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1388] Specific examples

[1389] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then starts showcasing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" and the virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The user then purchases the case they like and instantly completes the payment.

[1390] The system of the present invention allows users to purchase products with a high degree of satisfaction, without being restricted by time or place.

[1391] The processing flow will be explained below.

[1392] Step 1:

[1393] A user accesses the platform and creates an account by entering their name, email address, and password.

[1394] Step 2:

[1395] The device sends the user's input in JSON format to the server.

[1396] Step 3:

[1397] The server verifies the received user information and stores it in a database.

[1398] Step 4:

[1399] The server sends a response to the terminal indicating that the account creation has been completed.

[1400] Step 5:

[1401] The device will display a message to the user confirming account creation.

[1402] Step 6:

[1403] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.).

[1404] Step 7:

[1405] The device sends customization information in JSON format to the server.

[1406] Step 8:

[1407] The server passes customization information to the generation AI and requests it to generate an avatar.

[1408] Step 9:

[1409] The generation AI generates an avatar based on the customization information and returns the data to the server.

[1410] Step 10:

[1411] The server sends the generated avatar data to the device.

[1412] Step 11:

[1413] The terminal displays the generated avatar to the user.

[1414] Step 12:

[1415] The user clicks the Start Live Session button.

[1416] Step 13:

[1417] The terminal sends a live session request to the server.

[1418] Step 14:

[1419] The server requests the generation AI to generate a virtual store environment and sends the data to the terminal.

[1420] Step 15:

[1421] The terminal displays the generated virtual store environment to the user and initiates the operation of the virtual influencer.

[1422] Step 16:

[1423] The server generates a product list based on the user's past interests and purchasing history.

[1424] Step 17:

[1425] The server passes the generated product list to the virtual influencer.

[1426] Step 18:

[1427] The virtual influencer introduces selected products based on the product list to the user.

[1428] Step 19:

[1429] The user types a question about the product into the chat box.

[1430] Step 20:

[1431] The terminal sends the user's question to the server.

[1432] Step 21:

[1433] The server passes the question to the generation AI, which then generates an appropriate answer.

[1434] Step 22:

[1435] The generative AI generates the best answer to the question and returns that data to the server.

[1436] Step 23:

[1437] The server sends the generated response to the terminal.

[1438] Step 24:

[1439] The device displays the answers provided by the virtual influencers to the user.

[1440] Step 25:

[1441] The user clicks the purchase button to purchase the product they like.

[1442] Step 26:

[1443] The terminal sends the purchase request and payment information to the server.

[1444] Step 27:

[1445] The server verifies the payment information and processes the purchase.

[1446] Step 28:

[1447] The server sends a notification of purchase completion to the device.

[1448] Step 29:

[1449] The terminal displays a purchase completion message to the user.

[1450] Example 1

[1451] 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 robot 414 will be referred to as a "terminal."

[1452] In conventional online shopping systems, the process of users selecting, asking questions about, and purchasing products is complicated, making it difficult to carry out this process efficiently in real time, 24 hours a day, 365 days a year. Another issue is that users often have to spend a lot of time resolving questions about products, which can slow down the process of making a purchase decision. There was a need to solve these problems and improve convenience and user satisfaction.

[1453] 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.

[1454] In this invention, the server includes an account creation means, an avatar generation means, a virtual environment generation means, a means for generating a product list based on the user's past interests and purchase history, a means for the user to ask questions about products, a means for responding to the questions, and a means for purchasing products on the spot. This allows users to customize their avatars based on their preferences, receive responses to their questions in real time, and efficiently purchase products 24 hours a day, 365 days a year.

[1455] Below are definitions of important words.

[1456] The "account creation means" is a function that allows a user to create an account by entering information such as name, email address, and password, and then send that information to the server and store it in a database.

[1457] The "avatar generation means" is a function that allows a user to input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.), generate an avatar based on that information using a generative AI model, and display that data to the user.

[1458] The "virtual environment generation means" is a function that generates a virtual environment using a generative AI model based on a user request and displays that data to the user.

[1459] "Means for generating a product list based on the user's past interests and purchase history" is a function in which the server generates a product list that is optimal for the user based on the user's past purchase history and interests stored in the database.

[1460] The "means for users to ask questions about products" is an interface function that allows users to input questions about products in which they are interested and send those questions to the server.

[1461] The "means for responding to the question" is a function that uses a generative AI model to generate the optimal answer to the question received by the server and provides that answer to the user.

[1462] The "means for purchasing a product on the spot" is a function that allows a user to decide to purchase a product, transmit a purchase request and payment information to the server, and then process the purchase and notify the user of its completion.

[1463] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and is configured as follows as a specific embodiment.

[1464] Overall system configuration

[1465] This system consists of a user's device (smartphone, PC, etc.), a server, and a generative AI model. Users create an account using their own device, generate an avatar, and start a live session. The server responds to user requests in real time, using the generative AI model to generate avatars, movements, conversations, and virtual environments.

[1466] Hardware and software used

[1467] User's device: A device that can connect to the internet, such as a smartphone or PC

[1468] Server: A high-performance server that responds to user requests in real time.

[1469] Generative AI models: AI models for generating avatars, actions, conversations, and virtual environments (e.g., open-source AI models)

[1470] Creating and Managing User Accounts

[1471] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database. The server can use a database management system such as MySQL or PostgreSQL.

[1472] Avatar generation

[1473] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends them from the device to the server. The server uses a generative AI model to generate an avatar based on these characteristics and sends the data to the device. The device then displays the generated avatar to the user. Examples of generative AI models that can be used include DeepArt and GAN (Generative Adversarial Network).

[1474] Starting a Live Session

[1475] When a user requests to start a live session, the device sends the request to the server, which generates a virtual environment using a generative AI model and transmits the environment data to the device, which then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1476] Product Introduction

[1477] The server generates a product list based on the user's past interests and purchase history. This product list is then presented by a virtual influencer in the generated virtual environment. The virtual influencer then explains the selected products to the user and introduces their features in detail.

[1478] Interactive Question and Answering

[1479] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses a generative AI model to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user.

[1480] Real-time product purchases

[1481] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1482] Specific examples

[1483] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then starts showcasing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" and the virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The user then purchases the case they like and instantly completes the payment.

[1484] Prompt Sentence Examples

[1485] An example of a prompt to input to the generative AI model is, "A user is about to start a live session at 2 AM. Please generate a scene in which a virtual influencer introduces a new smartphone case."

[1486] This invention allows users to purchase products with a high degree of satisfaction, without being restricted by time or place.

[1487] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1488] Step 1:

[1489] Creating a user account and logging in

[1490] Input: The user enters their name, email address, and password into the device.

[1491] Specific operation: When the user presses the "Register" button, the terminal sends this information to the server.

[1492] Data processing and data calculation: The server verifies the received user information and converts it into a format for storage in the database.

[1493] Output: A message is sent back to the device informing the user that the account creation was successful.

[1494] Step 2:

[1495] Users can create avatars by specifying their preferred appearance features.

[1496] Input: The user inputs appearance characteristics (hairstyle, eye color, clothing, etc.) into the terminal.

[1497] Specific operation: When the user presses the "Generate Avatar" button, the device sends this information to the server.

[1498] Data processing and data calculation: The server sends prompts to the generative AI model to generate an avatar based on these features.

[1499] Output: The generated avatar data is sent back to the device, which displays the avatar on the user's screen.

[1500] Step 3:

[1501] Starting a Live Session

[1502] Input: The user types a request to start a live session into the terminal.

[1503] Specific operation: When the user presses the "Start Live Session" button, the terminal sends a request to the server.

[1504] Data processing and data calculation: The server sends prompts to the generative AI model to generate a virtual environment, and then sends the generated virtual environment data to the terminal.

[1505] Output: The device displays the virtual environment and the actions of the virtual influencer on the screen.

[1506] Step 4:

[1507] Product Listing Generation and Introduction

[1508] Input: The server retrieves the user's past interests and purchase history from a database.

[1509] Specific operation: The server sends prompts to the generative AI model based on this data to generate the optimal product list, and then reflects the generated product list data in the virtual environment.

[1510] Data processing and data calculation: Analyze past history extracted from the database and generate a product list.

[1511] Output: The virtual influencer displays the product list and introduces it to the user.

[1512] Step 5:

[1513] Interactive Question and Answering

[1514] Input: The user inputs a question about the product into the terminal.

[1515] Specific operation: When a user enters a question and presses the "Send" button, the terminal sends the question to the server.

[1516] Data processing and data calculation: The server sends prompts to the generative AI model to generate the best answer to the input question.

[1517] Output: The device displays the answers generated by the virtual influencer.

[1518] Step 6:

[1519] Real-time product purchases

[1520] Input: The user decides to purchase the product and presses the purchase button on the terminal.

[1521] Specific operation: When the user presses the "Purchase" button, the terminal sends a purchase request and payment information to the server.

[1522] Data processing and data calculation: The server verifies the payment information and executes the purchase process.

[1523] Output: A message is sent back to the terminal to be displayed to the user informing them that the purchase has been completed.

[1524] (Application example 1)

[1525] 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."

[1526] In modern online shopping systems, users search for, browse, and purchase product information, but the experience is one-way, and users have limited means of obtaining detailed information about products. There is also a lack of real-time, interactive methods for product introductions and question-and-answer sessions. This creates challenges in terms of not sufficiently improving user satisfaction or stimulating purchasing motivation.

[1527] 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.

[1528] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for a user to ask questions about products, a means for responding to the questions, a means for purchasing products on the spot, a means for a virtual influencer to introduce products in real time, and a means for generating a product list based on the user's interests and purchase history, thereby enabling users to enjoy a virtual shopping experience 24 hours a day, 365 days a year through real-time product introductions and question-answering by the virtual influencer.

[1529] An "avatar" is a character that a user acts on their behalf in a virtual environment.

[1530] "Avatar generation means" refers to a technical means for creating a virtual character based on the user's preferences and specifications.

[1531] The "motion generation means" is a technical means for automatically generating and displaying the motions that the avatar performs within the virtual environment.

[1532] "Conversation generation means" refers to a technical means for generating a dialogue with a user through an avatar.

[1533] "Virtual environment generation means" refers to the technical means for constructing virtual spaces and scenes for users to interact with.

[1534] The "means for users to ask questions about products" is an interface that allows users to input questions about products in which they are interested.

[1535] "Means for responding to questions" refers to technical means for generating and providing appropriate answers to user questions.

[1536] "Means for purchasing products on the spot" refers to technical means for users to purchase products they like in real time.

[1537] "Means for virtual influencers to introduce products in real time" refers to a technological means for virtual characters to introduce products in accordance with real time.

[1538] "Means for generating a product list based on a user's interests and purchase history" refers to a technical means for analyzing past user behavior data and automatically generating an interesting product list based on that data.

[1539] This invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and specific embodiments thereof are as follows.

[1540] First, a user creates an account using their own device (such as a smartphone or personal computer) and generates an avatar. The user enters information such as their name, email address, and password, and sends this information to the server. The server stores the entered information in a database and manages the user account.

[1541] Next, the user uses the avatar generation means to specify their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends this information to the server. The server uses a generative AI model to generate an avatar based on the specified characteristics and sends the data to the terminal. The generated avatar is then displayed on the user's terminal.

[1542] The user sends a request to start a live session from their device to the server. The server generates a virtual environment using a generative AI model and sends the environment data to the device. The user's device displays the generated virtual environment to the user, and the virtual influencer operates in real time. At this time, the virtual influencer's actions introducing the product within the virtual environment are generated and displayed to the user.

[1543] The server generates an optimal product list based on the user's interests and past purchase history. This product list is introduced by a virtual influencer in the virtual environment. The user can input questions about products of interest through their device, and the questions are sent to the server. The server uses a generative AI model to generate optimal answers to the questions in real time, and the virtual influencer provides the generated answers to the user.

[1544] If the user decides to purchase a particular product, the device sends a purchase request and payment information to the server. The server verifies the payment information and executes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1545] For example, if a user requests, "Please introduce me to the latest wireless earphones," the server inputs the following text as a prompt into the generative AI model:

[1546] "Suggest products based on these interests: latest wireless earphones"

[1547] Based on these prompts, the generative AI model will recommend products that best suit the user's interests. Through this process, users can enjoy a satisfying shopping experience through virtual influencers, regardless of time or location.

[1548] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1549] Step 1:

[1550] A user creates an account. The user enters their name, email address, and password and sends that information from their device to the server. The server receives this information, stores it in a database, and creates a user account.

[1551] Input: Name, Email Address, Password

[1552] Output: A user account is created and saved in the database.

[1553] Step 2:

[1554] The user generates an avatar. The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends this information from the device to the server. The server uses a generative AI model to generate an avatar based on the user's specifications and sends the data to the device. The device displays the generated avatar to the user.

[1555] Input: Appearance feature data

[1556] Output: Avatar data displayed to the user

[1557] Step 3:

[1558] The user sends a request to start a live session. The device sends the request to the server, which uses a generative AI model to generate a virtual environment and sends the data to the device. The device then displays the generated virtual environment to the user, with the virtual influencer operating in real time.

[1559] Input: Live session start request

[1560] Output: Virtual environment data displayed to the user

[1561] Step 4:

[1562] The server generates a product list based on the user's interests and past purchase history. The server analyzes the user's past behavioral data and uses a generative AI model to generate an optimal product list based on that data. This product list is then introduced by a virtual influencer in the virtual environment.

[1563] Input: User interest and purchase history data

[1564] Output: Product list data

[1565] Step 5:

[1566] The user inputs a question about a product they are interested in. The device sends the question to the server, which uses a generative AI model to generate the optimal answer. The virtual influencer then provides the generated answer to the user.

[1567] Input: Product question data

[1568] Output: Answer data provided to the user

[1569] Step 6:

[1570] The user submits a request to purchase a specific product. The terminal sends the purchase request and payment information to the server, which verifies the payment information and executes the purchase. Once the purchase is complete, the server sends a completion message to the terminal, which is displayed to the user.

[1571] Input: Purchase request, payment information

[1572] Output: Purchase confirmation message and purchase completion information

[1573] For example, if a user requests, "Please recommend the latest wireless earphones," the following prompt sentence is generated: "Suggest products based on these interests: latest wireless earphones." The server inputs this prompt sentence into the generative AI model and recommends products that are appropriate for the user.

[1574] Furthermore, 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.

[1575] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and a specific embodiment that provides interactions according to the user's emotions by combining an emotion engine is described below.

[1576] Overall system configuration

[1577] This system consists of a user device, a server, a generation AI, and an emotion engine. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, using the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion engine recognizes the user's emotions and reflects them in the avatar and interactions.

[1578] Creating and Managing User Accounts

[1579] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[1580] Avatar generation

[1581] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generative AI and emotion engine to generate an avatar based on these characteristics and sends the data to the device. The emotion engine recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[1582] Starting a Live Session

[1583] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion engine and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1584] Product Introduction

[1585] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. The emotion engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[1586] Interactive Question and Answering

[1587] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI and an emotion engine to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user. The emotion engine recognizes the user's emotions and adjusts the tone and content of the answer according to their state.

[1588] Real-time product purchases

[1589] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1590] Specific examples

[1591] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The emotion engine then recognizes the user's facial expression and, if it determines interest, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment.

[1592] The system of the present invention allows users to purchase products with high satisfaction, regardless of time or location. In addition, by combining it with an emotion engine, interactions based on the user's emotions can be provided, resulting in a more personalized shopping experience.

[1593] The processing flow will be explained below.

[1594] Step 1:

[1595] A user accesses the platform and creates an account by entering their name, email address, and password.

[1596] Step 2:

[1597] The device sends the user's input in JSON format to the server.

[1598] Step 3:

[1599] The server verifies the received user information and stores it in a database.

[1600] Step 4:

[1601] The server sends a response to the terminal indicating that the account creation has been completed.

[1602] Step 5:

[1603] The device will display a message to the user confirming account creation.

[1604] Step 6:

[1605] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.).

[1606] Step 7:

[1607] The device sends customization information in JSON format to the server.

[1608] Step 8:

[1609] The server passes customization information to the generation AI and emotion engine and requests the generation of an avatar.

[1610] Step 9:

[1611] The generation AI generates an avatar based on customization information, and the emotion engine recognizes the user's facial expressions and emotional state to generate the avatar's facial expressions.

[1612] Step 10:

[1613] The server sends the generated avatar data to the device.

[1614] Step 11:

[1615] The terminal displays the generated avatar to the user.

[1616] Step 12:

[1617] The user clicks the Start Live Session button.

[1618] Step 13:

[1619] The terminal sends a live session request to the server.

[1620] Step 14:

[1621] The server requests the generation AI and emotion engine to generate a virtual store environment and sends the data to the terminal.

[1622] Step 15:

[1623] The terminal displays the generated virtual store environment to the user and initiates the operation of the virtual influencer.

[1624] Step 16:

[1625] The server generates a product list based on the user's past interests and purchasing history.

[1626] Step 17:

[1627] The server passes the generated product list to the virtual influencer.

[1628] Step 18:

[1629] The virtual influencer introduces selected products based on the product list to the user.

[1630] Step 19:

[1631] The user types a question about the product into the chat box.

[1632] Step 20:

[1633] The terminal sends the user's question to the server.

[1634] Step 21:

[1635] The server passes the question to the generation AI and emotion engine, which then generates an appropriate answer.

[1636] Step 22:

[1637] Generative AI generates the best answer to a question, and an emotion engine adjusts the tone and content of the answer based on the user's emotions.

[1638] Step 23:

[1639] The server sends the generated response to the terminal.

[1640] Step 24:

[1641] The device displays the answers provided by the virtual influencers to the user.

[1642] Step 25:

[1643] The user clicks the purchase button to purchase the product they like.

[1644] Step 26:

[1645] The terminal sends the purchase request and payment information to the server.

[1646] Step 27:

[1647] The server verifies the payment information and processes the purchase.

[1648] Step 28:

[1649] The server sends a notification of purchase completion to the device.

[1650] Step 29:

[1651] The terminal displays a purchase completion message to the user.

[1652] Specific examples

[1653] If a user starts a live session on their smartphone at home at 2 AM and is looking for a new phone case, the process would go like this:

[1654] After the processes from step 1 to step 11 are completed, the user starts a live session (step 12). The server generates a virtual store environment using the generation AI and emotion engine (step 14), and the terminal displays this virtual store environment (step 15).

[1655] The server generates an appropriate product list based on the user's past interests and purchase history (steps 16 and 17), and the virtual influencer begins introducing these products (step 18).

[1656] When a user inputs a question such as "Is this case waterproof?" (step 19), the device sends the question to the server (step 20), and the server uses a generative AI and emotion engine to generate an appropriate answer and sends it to the device (steps 21 to 23). The virtual influencer displays the answer based on the user's emotion (step 24).

[1657] When the user clicks the purchase button to purchase a product they like (step 25), the terminal sends a purchase request and payment information to the server (step 26), the server processes the purchase (step 27), and sends a notification of purchase completion to the terminal and displays it to the user (steps 28 and 29).

[1658] Example 2

[1659] Next, a description will be given of 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."

[1660] In conventional online shopping systems, it was difficult for users to ask questions about products or experience interactions based on their emotions.In addition, personalized product recommendations that reflected users' past purchase history and interests were not sufficiently implemented, making it difficult to increase user satisfaction.

[1661] 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.

[1662] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for the user to ask questions about products, a means for responding to the questions, a means for purchasing products on the spot, an emotion engine that recognizes the user's emotions and reflects them in the avatar and interactions, and a means for generating a product list based on the user's past interests and purchase history, thereby enabling personalized interactions and product recommendations based on the user's emotions and interests.

[1663] The "avatar generation means" is a means for generating an avatar based on the appearance characteristics of a user.

[1664] The "motion generation means" is a means for generating the motion of the avatar controlled by the user.

[1665] The "conversation generation means" is a means for generating dialogue and question-and-answer sessions with the user.

[1666] The "virtual environment generating means" is a means for generating a virtual environment in which an avatar operated by a user and other elements exist.

[1667] The "means for users to ask questions about products" refers to the means by which users input questions about products to the system.

[1668] "Means for responding to the question" refers to means for generating the most appropriate answer to the question from the user.

[1669] The "means for purchasing products on the spot" refers to a means for a user to purchase a product selected by the user in real time.

[1670] The "emotion engine" is an engine that recognizes the user's emotions and reflects them in the avatar and interactions.

[1671] The "means for generating a product list" is a means for generating a product list based on the user's past interests and purchase history.

[1672] The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and a specific embodiment is described below that provides interactions according to the user's emotions by combining an emotion engine.

[1673] Overall system configuration

[1674] This system consists of a user device, a server, a generation AI, and an emotion engine. Users create an account using their own device (smartphone, PC, etc.), generate an avatar, and start a live session. The server responds to user requests in real time and uses the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion engine recognizes the user's emotions and reflects them in the avatar and interactions.

[1675] Creating and Managing User Accounts

[1676] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database. The hardware used is a general server system (e.g., a cloud environment), and communication uses the SSL / TLS protocol.

[1677] Avatar generation

[1678] The user inputs their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and sends them from the device to the server. The server uses a generative AI (e.g., GPT-3) and an emotion engine to generate an avatar based on these characteristics and sends the data to the device. The emotion engine (e.g., Emotion AI) recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[1679] Starting a Live Session

[1680] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion engine, and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1681] Product Introduction

[1682] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. The emotion engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[1683] Interactive Question and Answering

[1684] Users input questions about products they are interested in through their devices. The questions are sent to a server, which uses generative AI (e.g., natural language processing models) and an emotion engine to generate the optimal answer to the question in real time. The virtual influencer then provides the generated answer to the user. The emotion engine recognizes the user's emotions and adjusts the tone and content of the answer according to their state.

[1685] Real-time product purchases

[1686] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase using a security protocol based on the PCI DSS (Payment Card Industry Data Security Standard). Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1687] Specific examples

[1688] For example, imagine a user starts a live session at home at 2 AM using their smartphone, searching for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The virtual influencer immediately replies, "Yes, this case is IP68 waterproof." The emotion engine then recognizes the user's facial expression and, if it determines interest, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment.

[1689] Prompt Sentence Examples

[1690] "You have a system where users can create avatars and purchase products 24 / 7. The system uses an emotion engine to provide interactions based on the user's emotions. Start a live session with the following conditions:

[1691] It's 2 AM

[1692] Looking for a smartphone case

[1693] Asking "Is this case waterproof?"

[1694] Generate conversation content for your virtual influencers based on these conditions.

[1695] Interact with users based on their emotions

[1696] Explain the waterproof function

[1697] Based on this prompt, the generative AI model generates dialogue content that corresponds to the user's emotions and provides it in real time in conjunction with the emotion engine.

[1698] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1699] Step 1:

[1700] Creating a user account

[1701] Input: The user enters their name, email address, and password.

[1702] Specific operation: The terminal receives this information through the input form and encrypts it using the SSL / TLS protocol.

[1703] Data processing / calculation: The terminal converts the input data into a structured format (e.g., JSON) and sends the encrypted data to the server.

[1704] Output: The server stores the received data in a database and sends a response to the device confirming the completion of the account creation.

[1705] Step 2:

[1706] Avatar generation

[1707] Input: The user inputs the avatar's appearance characteristics (hairstyle, eye color, clothing, etc.).

[1708] Specific operation: The terminal receives the appearance characteristic data through the input form and sends it to the server.

[1709] Data processing / computation: The server generates an avatar based on the input data using a generative AI model (e.g., GPT-3) and an emotion engine (e.g., Emotion AI). The generative AI model creates a 3D avatar based on appearance features, and the emotion engine adds facial expressions that reflect the user's emotions.

[1710] Output: The generated avatar data is sent from the server to the terminal, and the terminal displays this data to the user.

[1711] Step 3:

[1712] Starting a Live Session

[1713] Input: A user requests to start a live session.

[1714] Specific operation: The terminal receives a user request and sends it to the server.

[1715] Data processing / computation: The server generates the virtual environment using a generative AI model and uses an emotion engine to create an appropriate environment based on the user's emotional state.

[1716] Output: The generated virtual environment data is sent from the server to the terminal, which displays this data to the user. The virtual influencer begins to operate.

[1717] Step 4:

[1718] Product Introduction

[1719] Input: User's past interests and purchase history data.

[1720] Specific operation: The server retrieves the user's past interests and purchase history from a database.

[1721] Data processing / calculation: The server uses a generative AI model to generate a product list based on the acquired data. The emotion engine analyzes the user's reactions in real time and adjusts the list to prioritize the introduction of products that the user is interested in.

[1722] Output: The generated product list is introduced to the user through the virtual influencer.

[1723] Step 5:

[1724] Interactive Question and Answering

[1725] Input: The question the user entered about the product.

[1726] Specific operation: The terminal receives the user's question through an input form and sends it to the server.

[1727] Data processing / calculation: The server analyzes the received question and generates the optimal answer using a generative AI model (e.g., natural language processing model) and an emotion engine. The emotion engine adjusts the tone and content of the answer depending on the user's emotional state.

[1728] Output: The generated answers are provided to the user through the virtual influencer.

[1729] Step 6:

[1730] Real-time product purchases

[1731] Input: The user presses the purchase button and enters payment information.

[1732] Specific operation: The terminal receives the purchase request and payment information and sends them to the server.

[1733] Data processing / calculation: The server verifies the received payment information based on PCI DSS and processes the purchase.

[1734] Output: If the purchase is successful, the server sends a success message to the terminal, which displays it to the user. If the purchase is unsuccessful, an error message is sent to the terminal and displayed to the user.

[1735] The above is a detailed description of the specific processing steps in this system and the operations performed at each step.

[1736] (Application example 2)

[1737] 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."

[1738] Conventional online shopping systems have challenges in providing an intuitive and fast purchasing experience because users have to search multiple pages and read product descriptions to find the information they need. Furthermore, they only provide a uniform interface and information without considering the user's emotions or interests, which means they do not provide a personalized experience optimized for each individual user. This can result in a poor user experience and a lower conversion rate.

[1739] 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.

[1740] In this invention, the server includes an avatar generation means, an action generation means, a conversation generation means, a virtual environment generation means, a means for a user to ask a question about a product, a means for responding to the question, a means for purchasing the product on the spot, an emotion recognition means for recognizing the user's emotion, a means for optimizing the product description based on the emotion recognition, and a prompt sentence generation means for generating an optimal answer using a generative AI model. This allows the user to intuitively and quickly obtain the information they need, enabling a personalized shopping experience.

[1741] The "avatar generation means" is a device or program that has the function of generating an avatar based on the user's preferred appearance characteristics.

[1742] The "motion generation means" is a device or program that has the function of generating and displaying the motions of the avatar when introducing the product.

[1743] The "conversation generation means" is a device or program that has the function of generating a dialogue with the user.

[1744] The "virtual environment generating means" is a device or program that has the function of generating a virtual environment in which a user can purchase products through an avatar.

[1745] The "means for users to ask questions about products" refers to a device or program that has an interface for users to input questions about products.

[1746] The "means for responding to the question" is a device or program that has the function of generating and presenting an answer to the user's question.

[1747] The "means for purchasing products on the spot" refers to a device or program that has the function of allowing a user to select a product and complete the purchase procedure immediately on the spot.

[1748] The "emotion recognition means for recognizing the user's emotions" is a device or program that has the function of detecting and recognizing emotions from the user's facial expressions, voice, etc.

[1749] The "means for optimizing product description based on emotion recognition" is a device or program that has the function of adjusting the content and method of product description based on the recognized user emotion.

[1750] A "prompt sentence generation means that generates optimal answers using a generative AI model" is a device or program that has the function of generating prompt sentences using a generative AI model in response to questions from users and providing those answers in real time.

[1751] The following is a detailed description of an embodiment of the present invention. The present invention is a system that allows users to purchase products through avatars 24 hours a day, 365 days a year, and provides interactions that correspond to the user's emotions by combining an emotion engine.

[1752] Overall system configuration

[1753] This system consists of a user device, a server, a generation AI, and an emotion recognition engine. Users create an account using their own device (smartphone, head-mounted display, etc.), generate an avatar, and start a live session. The server responds to user requests in real time, and uses the generation AI to generate the avatar, its movements, conversations, and the virtual environment. The emotion recognition engine recognizes the user's emotions and reflects them in the avatar and interactions.

[1754] Creating and Managing User Accounts

[1755] Users access the platform and create an account by entering their name, email address, and password. This information is sent from the device to the server, which then stores the user information in a database.

[1756] Avatar generation

[1757] Users input their preferred appearance characteristics (hairstyle, eye color, clothing, etc.) and send them from their device to the server. The server uses a generation AI and emotion recognition engine to generate an avatar based on these characteristics and sends the data to the device. The emotion recognition engine recognizes the user's facial expressions and emotional state and generates corresponding facial expressions for the avatar. The device then displays the generated avatar to the user.

[1758] Starting a Live Session

[1759] When a user requests to start a live session, the device sends the request to the server. The server generates a virtual environment using generative AI and an emotion recognition engine and sends the environment data to the device. The device then displays the generated virtual environment to the user and initiates the actions of the virtual influencer.

[1760] Product Introduction

[1761] The server generates a product list based on the user's past interests and purchase history. This product list is introduced by a virtual influencer in the generated virtual environment. The virtual influencer explains the selected products to the user and introduces their features in detail. An emotion recognition engine analyzes the user's reactions in real time and prioritizes the introduction of products that the user is interested in.

[1762] Interactive Question and Answering

[1763] Users input questions about products they are interested in through their devices. The questions are sent to the server, which uses generative AI and an emotion recognition engine to generate the optimal answer to the question as a prompt. The virtual influencer then provides the generated answer to the user. For example, if a user asks, "Is this case waterproof?", the generative AI model will respond, "Yes, this case has IP68 waterproof capabilities."

[1764] Real-time product purchases

[1765] If the user decides to make a purchase, they press the purchase button on their device and the purchase request and payment information are sent to the server. The server verifies this information and processes the purchase. Once the purchase is complete, the server sends a completion message to the device, which is displayed to the user.

[1766] Specific examples

[1767] For example, consider a scenario where a user starts a live session at home using their smartphone and is looking for a new smartphone case. The user logs in to their account and creates an avatar. The virtual influencer then begins introducing various smartphone cases in a virtual store. The user asks, "Is this case waterproof?" The generative AI model immediately replies, "Yes, this case is IP68 waterproof." The emotion recognition engine then recognizes the user's facial expression and, if it determines that the user is interested, further explains the product's other features in detail. The user then purchases the case they like and instantly completes the payment. This allows users to obtain information intuitively and quickly, enabling a personalized shopping experience.

[1768] As a specific example of a prompt sentence, if a user enters, "Do you have any green running shoes?", the generative AI model will respond, "Yes, these are the green running shoes." In this way, responses using the generative AI model enable real-time interactive question answering.

[1769] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1770] Step 1:

[1771] A user accesses the platform and creates an account by entering their name, email address, and password.

[1772] Enter your name, email address, and password.

[1773] Data processing / calculation: User information is sent to the server and stored in the database.

[1774] Output: User account creation success message.

[1775] Step 2:

[1776] The user inputs appearance characteristics (hairstyle, eye color, clothing, etc.) to create an avatar.

[1777] Input: User's appearance characteristics (hairstyle, eye color, clothing, etc.).

[1778] Data processing / calculation: Appearance feature data is sent from the device to the server, the generation AI generates an avatar, and the emotion recognition engine generates facial expressions for the avatar that correspond to the user's facial expressions and emotions.

[1779] Output: Send the generated avatar data to the terminal and display it to the user.

[1780] Step 3:

[1781] A user sends a request to start a live session from a terminal to a server.

[1782] Input: Live session start request.

[1783] Data processing / calculation: The server generates a virtual environment using AI and an emotion recognition engine.

[1784] Output: Sends virtual environment data to the terminal and displays it to the user.

[1785] Step 4:

[1786] The server generates a product list based on the user's past interests and purchasing history.

[1787] Input: User's past interests and purchasing history.

[1788] Data processing / calculation: User history information is obtained from the database, and the generation AI generates an appropriate product list.

[1789] Output: Generate a product list and have the product showcased by a virtual influencer in a virtual environment.

[1790] Step 5:

[1791] The user inputs a question about a product that interests them.

[1792] Input: Product question.

[1793] Data processing / calculation: Question data is sent to the server, the generation AI generates the optimal answer as a prompt, and the emotion recognition engine adjusts the answer based on the user's emotions.

[1794] Output: The virtual influencer provides the generated answer to the user.

[1795] Step 6:

[1796] The user decides to purchase and presses the purchase button on the terminal.

[1797] Input: Purchase request, payment information.

[1798] Data processing / calculation: The purchase request and payment information are sent to the server, which verifies the information and completes the purchase process.

[1799] Output: Sends a purchase completion message to the terminal and displays it to the user.

[1800] Responding to specific example prompts

[1801] For example, if a user types, "Do you have green running shoes?", the generative AI model will respond, "Yes, these are green running shoes," and the emotion recognition engine will recognize the user's interests and provide further clarification.

[1802] This detailed processing at every step of the visual system ensures that users are provided with an intuitive and personalized shopping experience.

[1803] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1804] 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 generation 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 voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1805] 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 robot 414.

[1806] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1807] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1808] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1809] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1810] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1811] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1812] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1813] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on 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 running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1814] In the above embodiment, an example was 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 data may be generated in the external device in accordance with input data.

[1815] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1816] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1817] 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.

[1818] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1819] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1820] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1821] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1822] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1823] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1824] The following is further disclosed regarding the above embodiment.

[1825] (Claim 1)

[1826] avatar generation means;

[1827] A motion generating means;

[1828] A conversation generation means;

[1829] a virtual environment generating means;

[1830] a means for users to ask questions about products;

[1831] a means for responding to the question;

[1832] A way to purchase products on the spot,

[1833] A system including:

[1834] (Claim 2)

[1835] 2. The system according to claim 1, wherein the avatar generating means generates an avatar based on a user's preferred appearance characteristics.

[1836] (Claim 3)

[1837] 2. The system according to claim 1, wherein the action generation means generates and displays an action of the avatar when introducing a product.

[1838] "Example 1"

[1839] (Claim 1)

[1840] How to create an account;

[1841] avatar generation means;

[1842] a virtual environment generating means;

[1843] means for generating a product list based on a user's past interests and purchase history;

[1844] a means for users to ask questions about products;

[1845] a means for responding to the question;

[1846] A way to purchase products on the spot,

[1847] A system including:

[1848] (Claim 2)

[1849] 2. The system according to claim 1, wherein the avatar generating means generates an avatar based on a user's preferred appearance characteristics.

[1850] (Claim 3)

[1851] 2. The system according to claim 1, wherein the virtual environment generating means generates the virtual environment using a generative AI model based on a user request.

[1852] "Application Example 1"

[1853] (Claim 1)

[1854] avatar generation means;

[1855] A motion generating means;

[1856] A conversation generation means;

[1857] a virtual environment generating means;

[1858] a means for users to ask questions about products;

[1859] a means for responding to the question;

[1860] A way to purchase products on the spot,

[1861] A way for virtual influencers to introduce products in real time,

[1862] means for generating a product list based on a user's interests and purchase history;

[1863] A system including:

[1864] (Claim 2)

[1865] 2. The system according to claim 1, wherein the avatar generating means generates an avatar based on a user's preferred appearance characteristics.

[1866] (Claim 3)

[1867] 2. The system according to claim 1, wherein the action generation means generates and displays an action of the avatar when introducing a product.

[1868] "Example 2: Combining Emotion Engines"

[1869] (Claim 1)

[1870] avatar generation means;

[1871] A motion generating means;

[1872] A conversation generation means;

[1873] a virtual environment generating means;

[1874] a means for users to ask questions about products;

[1875] a means for responding to the question;

[1876] A way to purchase products on the spot,

[1877] An emotion engine that recognizes the user's emotions and reflects them in the avatar and interactions.

[1878] a means for generating product listings based on past interests and purchase history;

[1879] A system including:

[1880] (Claim 2)

[1881] 2. The system according to claim 1, wherein the avatar generation means generates an avatar based on the user's preferred appearance features, and generates facial expressions that reflect the user's emotions in the avatar using an emotion engine.

[1882] (Claim 3)

[1883] 2. The system according to claim 1, wherein the action generation means generates actions for the avatar when introducing the product, and uses an emotion engine to perform interactions according to the user's real-time reactions.

[1884] "Application example 2 when combining emotion engines"

[1885] (Claim 1)

[1886] avatar generation means;

[1887] A motion generating means;

[1888] A conversation generation means;

[1889] a virtual environment generating means;

[1890] a means for users to ask questions about products;

[1891] a means for responding to the question;

[1892] A way to purchase products on the spot,

[1893] emotion recognition means for recognizing an emotion of a user;

[1894] A means for optimizing product descriptions based on emotion recognition;

[1895] A system including:

[1896] (Claim 2)

[1897] 2. The system according to claim 1, wherein the avatar generating means generates an avatar based on a user's preferred appearance characteristics.

[1898] (Claim 3)

[1899] 2. The system according to claim 1, wherein the action generation means generates and displays an action of the avatar when introducing a product.

[1900] (Claim 4)

[1901] 2. The system according to claim 1, characterized in that it includes a prompt sentence generation means for allowing a user to input a question about a product in a virtual environment and generating an optimal answer using a generative AI model. [Explanation of symbols]

[1902] 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. avatar generation means; A motion generating means; A conversation generation means; a virtual environment generating means; a means for users to ask questions about products; a means for responding to the question; A way to purchase products on the spot, A system including:

2. 2. The system according to claim 1, wherein said avatar generating means generates an avatar based on the user's preferred appearance characteristics.

3. 2. The system according to claim 1, wherein said action generating means generates and displays an action of an avatar when introducing a product.

Images