system

Abstract

We provide the system. [Solution] A means of interpreting input data received from a user and estimating their intent, A means for generating natural avatar behavior based on estimated user intent, A means for delivering the behavior of the generated avatar to the terminal in real time and creating data packets for display on the terminal, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In conventional virtual avatar systems, there is a problem that it is difficult to achieve natural communication with users due to stereotyped responses and limited interaction methods. Also, despite the indispensability of generating seamless avatar behavior in real time, there is a problem that delays and unnaturalness occur due to technical constraints. Due to these problems, the quality of the user experience has deteriorated, and there is a current situation where a highly free interaction with the avatar cannot be realized.

Means for Solving the Problems

[0005] This invention provides a means for interpreting user input data and generating natural avatar behavior in real time based on the user's intentions. This allows the avatar to respond immediately and appropriately to the user, enabling more emotionally rich and natural communication. Furthermore, by employing high-speed image generation technology, the generated avatar behavior is instantly delivered as playable data packets on the terminal, enabling smooth animation rendering. This ensures uninterrupted interaction with the user, establishes natural dialogue, and efficiently solves conventional problems.

[0006] "User-received input data" refers to information provided by the user to the system in the form of voice, text, or gestures.

[0007] "Means of interpretation and estimation of intent" refers to processes and technologies that analyze user input data to reveal the actions and responses that users are seeking.

[0008] "Means for generating natural avatar behavior" refers to technologies for designing and physically or digitally representing appropriate and realistic reactions and actions that an avatar should perform, based on the estimated user's intentions.

[0009] "A means of creating data packets for real-time delivery to a terminal and display on the terminal" refers to the process of quickly sending the generated avatar's behavior to the terminal and compiling it into a format that can be displayed immediately.

[0010] "Means of detecting gesture input, encoding it into digital data, and sending it to a server" refers to the process of recognizing the physical actions performed by the user using sensors or cameras, converting those actions into electronic signals that can be processed by a computer, and sending them to a server via a network.

[0011] "High-speed image generation technology" refers to techniques and algorithms that create high-resolution images and animations with limited time and computing resources. [Brief explanation of the drawing]

[0012] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying out the Invention

[0013] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc.

[0016] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0018] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0023] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0025] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0032] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0033] This invention is a system that enables natural, real-time communication with a virtual avatar through interaction between the user, terminal, and server. Specific embodiments of this system will be described below.

[0034] First, the user provides input data via the device. This input data can take various forms, such as text, voice, and gestures, and is acquired using the device's sensors and microphone. The device then encodes this data into a digital format and formats it for transmission to the server.

[0035] The server processes data received from the terminal in real time. Specifically, voice data is converted into text data through a speech recognition system, and the user's intent is interpreted from the text data and gesture data using natural language processing techniques and gesture recognition algorithms. Based on this interpretation, an AI model is used to generate natural behavior for the avatar.

[0036] The generated avatar behavior data is configured on the server as data packets that can be played back in real time on the terminal. The server sends these data packets to the terminal. The terminal immediately decodes the received data and displays the avatar's animation on the screen. It also plays the avatar's voice via an audio output device as needed.

[0037] This entire process allows users to enjoy seamless and highly flexible communication with their avatars. For example, if a user says "hello" to their device and makes a waving gesture, the server recognizes the input in real time and generates an animation and voice message in which the avatar smiles and says, "Hello, what shall we talk about today?" This response is instantly displayed and played on the device, providing a natural interaction experience.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] Users input voice, gestures, and text using the device's input devices. This data is collected by the device through its respective sensors and microphones.

[0041] Step 2:

[0042] The terminal encodes the received user input data into a digital format. Audio data is sampled for processing, and gesture input is converted into coordinate data as needed.

[0043] Step 3:

[0044] The terminal organizes the encoded data into data packets and sends them to the server over the network. These data packets contain the necessary processing information.

[0045] Step 4:

[0046] The server receives data packets sent from the terminal. The received data is decoded according to its format and converted into an analyzable form.

[0047] Step 5:

[0048] The server analyzes the decoded data and interprets its content using natural language processing techniques. Audio data is converted to text, and gesture data is subjected to recognition algorithms for intent interpretation.

[0049] Step 6:

[0050] The server estimates the user's intent from the analysis results and uses an AI model to generate appropriate avatar behavior. This process is designed to ensure that the avatar's responses are natural and in line with the user's intent.

[0051] Step 7:

[0052] The server packages the generated avatar's behavior data into data packets in a format that can be sent to the terminal in real time. This includes animation frames and audio clips.

[0053] Step 8:

[0054] The terminal receives data packets sent from the server and decodes them immediately. The decoded data is used for avatar animation and audio output.

[0055] Step 9:

[0056] The device uses the decoded data to display and play the avatar's behavior for the user. This allows the user to experience the avatar's realistic reactions in real time.

[0057] (Example 1)

[0058] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0059] Conventional virtual communication systems have struggled to provide natural, real-time interaction with users, particularly in generating rapid responses that accommodate diverse inputs. Furthermore, achieving immediate and appropriate responses to user voice and gesture inputs required advanced data processing and animation generation.

[0060] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0061] In this invention, the server includes means for interpreting various forms of input information received from the user and estimating the user's intent; means for generating natural avatar movements using an artificial intelligence model based on the estimated user intent; means for structuring the generated avatar movements as data packets, distributing them to the terminal in real time, and displaying and playing audio on the terminal; and means for acquiring user input information using the terminal's sensors and microphone, encoding it, and transmitting it to the server. This enables real-time, two-way communication that can immediately respond to various forms of user input and realize natural interaction.

[0062] A "user" refers to a person who uses the system to input information and interact with a virtual character.

[0063] "Input information" refers to data that a user provides to the system, and includes digital data in various forms such as text, voice, and gestures.

[0064] "Means for inferring intent" refers to a mechanism that performs a process of analyzing the user's objectives and requests based on the input information received from the user.

[0065] An "artificial intelligence model" refers to a set of computational algorithms that perform decision-making, predictions, and information generation based on collected data.

[0066] "Natural avatar behavior" refers to the actions and expressions of a virtual character generated based on the user's intentions, and realistic movements designed to facilitate smooth interaction with the user.

[0067] A "data packet" is a unit of data that is divided into smaller parts for transmitting the generated avatar's movement information via digital communication.

[0068] A "terminal" refers to an electronic device that a user operates and uses to communicate with a system through an interface.

[0069] A "sensor" refers to a device that detects a user's physical movements and changes in the environment, and records them as digital data.

[0070] A "microphone" refers to a device that detects sound, converts it into an electrical signal, and provides it as input information.

[0071] "Encoding" refers to the process of converting acquired information into a specific format, making it digital data that is easy to transmit or store.

[0072] This invention is a system that enables natural, real-time communication with a virtual avatar between a user, a terminal, and a server. The system is designed to receive diverse forms of input information from the user, and based on this information, the avatar performs natural actions.

[0073] Users provide input information via their devices in the form of text, voice, gestures, and other formats. In this process, the device's sensors and microphones play a crucial role in capturing the user's voice and actions in real time, encoding them into digital data, and transmitting them to the server.

[0074] The server analyzes the received data to estimate the user's intent and uses an artificial intelligence model to generate natural movements for the avatar. Natural language processing, speech recognition technology, and gesture recognition algorithms support this process, creating appropriate responses in real time according to the user's requests. For example, if a user says "Hello" to the device and waves, the server analyzes this input and generates an animation and voice in which the avatar smiles and says, "Hello, what shall we talk about today?"

[0075] The generated avatar's motion data is transmitted to the device in real time. The device immediately decodes the received data, displays the avatar's animation on the screen, and plays the avatar's voice using an audio output device. This entire process allows the user to enjoy a seamless and realistic communication experience.

[0076] A concrete example of a prompt message could be, "Generate a scene where the user says hello and the avatar responds." This allows the terminal and server to work together to provide the user with an engaging and intuitive experience.

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] The user provides input information via the device. This input information takes various forms, including language, voice, and gestures, and is acquired through the device's microphone and sensors. A specific example of such an action is the user saying "hello" and waving their hand. The device performs input processing to convert this analog information into digital data, generating the basic data necessary to estimate the user's intent.

[0080] Step 2:

[0081] The terminal formats the acquired digital data and sends it to the server. Specifically, speech recognition technology is used to encode voice data and convert it to text. Text data and gesture data are also formatted into the appropriate format. The terminal's output is sent to the server as formatted data packets.

[0082] Step 3:

[0083] The server receives data sent from the terminal and processes it in real time. Voice data is converted to text by a speech recognition system, and the user's intent is interpreted from the text and gesture data using natural language processing technology and gesture recognition algorithms. This data processing estimates the user's purpose, and based on a generative AI model, it generates natural movements for the avatar.

[0084] Step 4:

[0085] The server structures the generated avatar's actions as data packets and sends them to the terminal. Specifically, the server compresses and packets the response animation and audio data generated by the AI ​​model while maintaining real-time performance, and sends them to the terminal via a communication protocol.

[0086] Step 5:

[0087] The device receives data packets sent from the server and decodes them immediately. This displays the avatar's animation on the screen and plays the avatar's voice on the audio output device. For example, the avatar might respond to the user with "Hello, what shall we talk about today?", creating a natural interaction experience. The device's final output is real-time visual and auditory feedback to the user.

[0088] (Application Example 1)

[0089] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0090] In virtual spaces, there is a lack of interfaces that allow users to interact with products in a natural and effective way, and in particular, a lack of appropriate feedback and guidance to improve the customer experience. As a result, customers cannot easily obtain information about the product, which may lead to a decrease in their willingness to purchase.

[0091] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0092] In this invention, the server includes means for interpreting input data received from a user and estimating their intent; means for generating natural behavior of an avatar based on the estimated user intent; means for distributing the generated avatar behavior to a terminal in real time and creating data packets for display on the terminal; and means for supporting interaction when a customer operates a product in a virtual space. This enables customers to enjoy a natural interface through an avatar in real time, improving their product information acquisition and operational experience.

[0093] "Input data" refers to information provided by the user in the form of voice, text, gestures, etc.

[0094] "Means for inferring intent" refers to technologies and processes for analyzing and determining the user's wishes and objectives from input data.

[0095] "Means for generating natural avatar behavior" refers to methods for generating actions and speech of virtual characters in accordance with the user's intentions, making them behave realistically and intuitively.

[0096] "Means for creating data packets" refers to the technology for processing avatar behavior data into a format that can be transferred in real time and delivering it to the terminal.

[0097] "Real-time streaming and display on the device" means sending the generated avatar's behavior to the user's device without delay and visualizing it on the spot.

[0098] "Means of supporting customer interaction when interacting with products in a virtual space" refers to technologies that enable users to ask questions about products in a virtual store and receive appropriate responses.

[0099] To implement this invention, the user first accesses a virtual store application using a device such as a smartphone or smart glasses. The device acquires input data such as voice and gestures received from the user. This data is collected using sensors such as microphones and cameras on each device.

[0100] The server is responsible for interpreting the received input data in real time. In the case of voice input, the server uses speech recognition software (e.g., Google® Speech-to-Text API) to convert the voice data into text. The text data and gesture data are then analyzed using natural language processing software (e.g., Google Natural Language API) and gesture recognition algorithms to derive the user's intent.

[0101] Next, the server uses an AI model to generate natural avatar behavior. For example, a 3D animation engine such as Unity 3D is used to create avatar animations in real time. Additionally, speech synthesis technology can be used to generate the avatar's voice if necessary.

[0102] The generated avatar behavior data is configured as data packets by the server and sent to the terminal. The terminal decodes this data in real time and displays the avatar's animation on the screen. It is also possible to play the avatar's voice via an audio output device.

[0103] For example, if a user voices a prompt such as, "Tell me more about the features of this product," the avatar can respond by explaining the product details and visually displaying related products. In this way, this invention allows customers to experience seamless interaction in a virtual store and freely obtain information about products.

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] The user provides input via voice or gestures through a smartphone or smart glasses device. The device collects this input data using a microphone and camera, and simultaneously identifies the type of input (voice or gesture). In this step, the input is the user's raw voice or gestures, and the output is the digitized input data. Digitization involves sampling and quantizing the audio signal in the case of audio data.

[0107] Step 2:

[0108] The terminal formats the digitized input data and sends it to the server. In particular, audio data is sent directly to the server, which receives it and recognizes it as input data. The input is digital audio data, and the output is a packet to be sent to the server. The data formatting includes specifying the sample rate and encoding format (e.g., PCM format).

[0109] Step 3:

[0110] The server converts the received audio data into text using speech recognition software (e.g., Google Speech-to-Text API). This conversion process recognizes phonemes and words from the audio signal and generates the corresponding text. The input is digital audio data, and the output is converted text data. This step involves audio signal processing and phoneme matching.

[0111] Step 4:

[0112] The server, upon receiving text data, analyzes it using natural language processing software (e.g., Google Natural Language API) to interpret the user's intent. Specifically, it performs semantic analysis and contextual understanding of the text to identify the information and actions the user is seeking. The input is text data, and the output is a data structure containing the interpreted intent. The operation includes morphological analysis and contextual inference.

[0113] Step 5:

[0114] Based on the interpreted intent, the server uses an AI model to generate natural responses and actions for the avatar. This includes creating prompts in the generative AI model and deriving appropriate animations and sounds. The input is user intent information, and the output is the avatar's behavioral commands. Actions include running the AI ​​model's inference engine.

[0115] Step 6:

[0116] Upon receiving commands for the avatar's behavior, the server constructs data packets and transmits this information to the terminal in real time. The input is the avatar behavior commands, and the output is the real-time data packets sent to the terminal. The data packets include animation frames and audio data, and are delivered using UDP or TCP / IP protocols.

[0117] Step 7:

[0118] The terminal decodes received data packets and displays and plays avatar animations and audio. The input is data packets, and the output is the animated video and audio viewed by the user. Operation includes synchronization of playback timing and animation rendering.

[0119] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0120] The present invention is a system that provides real-time, natural communication with a virtual avatar through interaction between the user, terminal, and server, and features an emotion engine that recognizes the user's emotions and adjusts the avatar's behavior accordingly. The system of the present invention is implemented according to the following procedure.

[0121] The user provides audio and video data through the device's microphone and camera. This data is used to recognize the user's emotional state, including their gestures and facial expressions. The device collects this data in real time and encodes it into digital data for transmission to the server. This encoded data includes text, audio, and gesture information.

[0122] The server uses the data received from the terminal to perform analysis using an emotion engine. The emotion engine includes an algorithm that recognizes the user's emotions from factors such as tone and speed of speech and changes in facial expressions. This allows the server to accurately estimate the user's emotional state and reflect that information in the avatar's responses.

[0123] The server generates natural behavior for the avatar based on recognized emotions. This is specifically to ensure the avatar responds in a way that is appropriate to the user's emotions, influencing their speech, facial expressions, and movements. This response is coordinated and generated through the collaboration of an AI model and an emotion engine.

[0124] Avatar behavior data generated on the server is transmitted to the terminal in real time. The terminal decodes this data and uses it to display and reproduce the avatar's behavior for the user. This entire process allows the user to experience natural interactions where the avatar seems to understand and respond to emotions.

[0125] For example, if a user expresses dissatisfaction, the emotion engine interprets the dissatisfaction from their tone and facial expression, and the server adjusts the avatar to respond with something like, "Is there anything I can help you with?" These responses are displayed on the device in real time, allowing users to communicate closely with their avatar.

[0126] The following describes the processing flow.

[0127] Step 1:

[0128] The user speaks or makes gestures towards the device. The device's microphone captures the audio, and the camera captures the user's face and body movements.

[0129] Step 2:

[0130] The device converts the acquired audio data into a digital format, and the gesture data is digitized as coordinates and movement patterns. This data is then formatted into data packets for transmission to the server.

[0131] Step 3:

[0132] The terminal sends the formatted data packets to the server. A communication protocol that takes priority and real-time requirements into account is used during this process.

[0133] Step 4:

[0134] The server receives data packets from the terminal and decodes them. This converts the voice, text, and gesture information into a format that can be analyzed.

[0135] Step 5:

[0136] The server passes the decoded data to the emotion engine to recognize the user's emotions. It evaluates the emotional state using voice tone analysis and facial expression detection algorithms.

[0137] Step 6:

[0138] The server uses an AI model based on the user's emotion recognition results to determine the appropriate response for the avatar. This is where the avatar's speech, facial expressions, and actions are generated.

[0139] Step 7:

[0140] The server transmits the generated avatar's behavior data to the terminal in real time. This data includes audio clips and animation sequences.

[0141] Step 8:

[0142] The device receives data sent from the server, decodes it, and plays back the avatar's behavior. This allows the user to see the avatar's reactions in real time.

[0143] Step 9:

[0144] The user observes the avatar's reaction displayed on the device and then performs the next interaction. This new input triggers the cycle to repeat.

[0145] (Example 2)

[0146] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0147] Conventional virtual communication systems have struggled to accurately recognize user emotions and generate natural responses accordingly. This has resulted in users feeling that interactions with avatars are unnatural and failing to achieve sufficient satisfaction. Furthermore, effectively providing a real-time dialogue experience requires technology to rapidly process and efficiently display large amounts of data.

[0148] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0149] In this invention, the server includes means for analyzing audio and video information received from the user and estimating emotions; means for generating natural behavior of an avatar using a generative AI model based on the estimated user emotions; and means for distributing the generated avatar behavior to a terminal in real time and creating information packets for display on the terminal. This enables natural virtual dialogue adapted to the user's emotions.

[0150] A "user" refers to a person who provides audio and video information to use the system and experiences interaction with an avatar.

[0151] "Audio and video information" refers to audio and video signals captured from the user, including data used for emotion recognition.

[0152] "Means for estimating emotions" refers to algorithms and technologies for analyzing and estimating a user's emotional state from collected audio and video information.

[0153] A "generative AI model" refers to AI technology that generates appropriate avatar behavior based on the estimated emotions of the user.

[0154] "Means for generating natural avatar behavior" refers to the process of creating responses using generative AI models so that the avatar exhibits behavior adapted to the user's emotions.

[0155] An "information packet" refers to a data format that contains avatar behavior data and is used to deliver it to a terminal via a communication network.

[0156] A "terminal" refers to an electronic device used to display and reproduce the behavior of an avatar in order to enable interaction with the user.

[0157] When users utilize the system, their voice and video information is collected through the terminal. The terminal is equipped with a microphone and camera, which capture the user's speech and facial expressions in real time. This data is used as basic information to recognize the user's emotions.

[0158] The device converts collected audio into text data and analyzes the user's facial expressions and gestures from video data. This allows for detailed extraction of the user's emotional state from their voice tone and facial expressions. This data is then encoded in digital format and efficiently transmitted to the server.

[0159] The server analyzes the received audio and video data using an emotion engine to estimate the user's emotions. The emotion engine analyzes the intonation of the voice and facial expressions to infer what emotions the user is feeling. For example, if a user makes a dissatisfied sound and frowns, the emotion engine will detect this data and identify the emotion of dissatisfaction.

[0160] Based on the estimated emotions, the server uses a generative AI model to generate natural behavior for the avatar. Here, the generative AI model creates appropriate avatar responses according to the emotion data. Specifically, if the user shows dissatisfaction, the avatar will generate animation and voice prompts to gently ask, "Is there anything I can help you with?" An example of this prompt is, "Generate an appropriate avatar response when the user appears dissatisfied."

[0161] The generated avatar's behavior is streamed to the device in real time. The device interprets this data, displays the avatar on its screen, and plays audio through its speakers. This allows the user to experience natural conversations with the avatar, where their emotions are understood and adapted.

[0162] This system will allow users to enjoy immersive virtual communication, and it is expected that conversations will become more intuitive and enriching.

[0163] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0164] Step 1:

[0165] The user inputs audio and video through the device's microphone and camera. The input audio data is converted into text data using a speech recognition algorithm, and its intonation and tone are also analyzed. Facial expressions and gestures are extracted from the video data. From this information, basic data is obtained to identify the user's emotions.

[0166] Step 2:

[0167] The terminal encodes the acquired audio and video data into a digital format and sends it to the server as a packet containing various feature quantities (e.g., tone, facial expression patterns). During this process, data compression and encryption are applied to ensure security. The data packet includes speech text, speech tone, and facial expression features.

[0168] Step 3:

[0169] The server uses an emotion engine to analyze the user's emotions based on the data received from the terminal. Based on the input data, the emotion engine analyzes the intonation of the voice and changes in facial expressions to estimate what emotions the user is feeling. The estimated emotion of the user is generated as output.

[0170] Step 4:

[0171] The server takes estimated emotion data as prompts and uses a generative AI model to generate responses for the avatar. For example, if the user expresses dissatisfaction, the AI ​​model will have the avatar make empathetic statements such as "Tell me more about that." This process results in natural and appropriate behavior for the avatar.

[0172] Step 5:

[0173] The generated avatar's behavior data is delivered to the device in real time. The device decodes the received behavior data, moves the avatar on the display, and plays audio through the speaker. As a result, the user can experience real-time virtual interaction that responds to their emotions.

[0174] (Application Example 2)

[0175] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0176] Traditional online experiences struggle to achieve natural communication between users and digital avatars. Therefore, there is a need for a system that can accurately recognize user emotions and provide appropriate responses in real time. Furthermore, especially in virtual stores, providing interactive experiences that deepen user interest and drive sales is a crucial challenge.

[0177] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0178] In this invention, the server includes means for interpreting input data received from a user and estimating their emotional state; means for generating natural responses from an avatar based on the estimated user's emotions; means for distributing the generated avatar responses to an information processing device in real time and creating digital information for display on the information processing device; means for analyzing emotions from the user's facial expressions and voice using an emotion recognition engine; and means for generating avatar responses that provide product information of interest to the user. This enables natural and interactive communication with an avatar that is in line with the user's emotions, and allows for effective sales promotion that deepens user interest even in virtual stores.

[0179] A "user" is an individual who interacts with a digital avatar via an information processing device, and whose emotional state is analyzed.

[0180] "Input data" refers to information received from the user, including voice, gesture, and facial expression data.

[0181] "Emotional state" refers to the psychological condition estimated based on the user's facial expressions, tone of voice, and other factors.

[0182] An "avatar" is a virtual character that interacts with users in a digital space.

[0183] A "natural response" refers to the interactive and appropriate behavior that an avatar exhibits in response to the user's emotional state.

[0184] An "information processing device" is a computing device that enables communication between a user and an avatar.

[0185] "Digital information" refers to avatar movement data that is transmitted to an information processing device and intended to be displayed to the user.

[0186] An "emotion recognition engine" is a set of algorithms and software used to detect and analyze a user's emotional state from their voice and facial expressions.

[0187] "Product information" refers to detailed data about products and services that users have shown interest in within a virtual store.

[0188] The system for realizing this invention enables real-time communication between a user and a digital avatar. The user provides input data, including emotions, through the camera and microphone of the information processing device. This data, including the user's facial expressions, voice, and gestures, is captured by the information processing device.

[0189] The information processing device encodes the received input data and sends it to the server as digital information. The server is equipped with an emotion recognition engine that analyzes the user's voice tone and facial expression changes to estimate their emotional state. Machine learning libraries such as TENSORFLOW® and PyTorch are used to implement the emotion recognition engine.

[0190] Based on the analyzed emotional information, the server uses a generative AI model to generate natural responses for the avatar. This generation process adjusts the avatar's speech, facial expressions, and movements to create reactions that match the user's emotions. The resulting digital information is then sent back to the information processing device and displayed to the user.

[0191] For example, if a user shows interest in a product in a virtual store, the server will have an avatar generate a response that introduces the details of that product. The avatar can analyze the user's reaction and ask questions such as, "Do you have any questions about this product?"

[0192] An example of a prompt might be, "How should the avatar's response be set when the user is smiling?" This prompt serves as a guideline when generating the avatar's response.

[0193] As described above, the system of the present invention is capable of accurately recognizing the user's emotional state and realizing natural interaction accordingly.

[0194] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0195] Step 1:

[0196] The user provides input data using the camera and microphone of the information processing device. This input includes the user's facial expressions, voice, and gestures, which are converted into digital data in real time. The terminal accurately captures and encodes this data and generates data packets for transmission to the server.

[0197] Step 2:

[0198] The terminal transmits encoded digital information to the server. The server receives the input data and analyzes it using an emotion recognition engine. Specifically, it executes an algorithm that estimates the emotional state from voice tone and facial features. The output is data that represents the user's current emotional state.

[0199] Step 3:

[0200] The server uses a generative AI model based on the output of the emotion recognition engine to generate avatar responses. The generation process includes calculations that determine the avatar's specific speech, facial expressions, and movements using prompt text as input. The output is the avatar's behavior data.

[0201] Step 4:

[0202] The server sends the generated avatar's behavior data to the device. The device decodes this data and displays the avatar's response to the user. This allows the avatar to respond in a way that is appropriate to the user's emotional state, resulting in natural interaction.

[0203] Step 5:

[0204] The user interacts further based on the displayed avatar's response, providing new input data. This cycle enables continuous and natural dialogue.

[0205] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0206] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0207] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0208] [Second Embodiment]

[0209] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0210] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0211] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0212] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0213] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0214] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0215] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0216] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0217] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0218] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0219] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0220] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0221] This invention is a system that enables natural, real-time communication with a virtual avatar through interaction between the user, terminal, and server. Specific embodiments of this system will be described below.

[0222] First, the user provides input data via the device. This input data can take various forms, such as text, voice, and gestures, and is acquired using the device's sensors and microphone. The device then encodes this data into a digital format and formats it for transmission to the server.

[0223] The server processes data received from the terminal in real time. Specifically, voice data is converted into text data through a speech recognition system, and the user's intent is interpreted from the text data and gesture data using natural language processing techniques and gesture recognition algorithms. Based on this interpretation, an AI model is used to generate natural behavior for the avatar.

[0224] The generated avatar behavior data is configured on the server as data packets that can be played back in real time on the terminal. The server sends these data packets to the terminal. The terminal immediately decodes the received data and displays the avatar's animation on the screen. It also plays the avatar's voice via an audio output device as needed.

[0225] This entire process allows users to enjoy seamless and highly flexible communication with their avatars. For example, if a user says "hello" to their device and makes a waving gesture, the server recognizes the input in real time and generates an animation and voice message in which the avatar smiles and says, "Hello, what shall we talk about today?" This response is instantly displayed and played on the device, providing a natural interaction experience.

[0226] The following describes the processing flow.

[0227] Step 1:

[0228] Users input voice, gestures, and text using the device's input devices. This data is collected by the device through its respective sensors and microphones.

[0229] Step 2:

[0230] The terminal encodes the received user input data into a digital format. Audio data is sampled for processing, and gesture input is converted into coordinate data as needed.

[0231] Step 3:

[0232] The terminal organizes the encoded data into data packets and sends them to the server over the network. These data packets contain the necessary processing information.

[0233] Step 4:

[0234] The server receives data packets sent from the terminal. The received data is decoded according to its format and converted into an analyzable form.

[0235] Step 5:

[0236] The server analyzes the decoded data and interprets its content using natural language processing techniques. Audio data is converted to text, and gesture data is subjected to recognition algorithms for intent interpretation.

[0237] Step 6:

[0238] The server estimates the user's intent from the analysis results and uses an AI model to generate appropriate avatar behavior. This process is designed to ensure that the avatar's responses are natural and in line with the user's intent.

[0239] Step 7:

[0240] The server packages the generated avatar's behavior data into data packets in a format that can be sent to the terminal in real time. This includes animation frames and audio clips.

[0241] Step 8:

[0242] The terminal receives data packets sent from the server and decodes them immediately. The decoded data is used for avatar animation and audio output.

[0243] Step 9:

[0244] The device uses the decoded data to display and play the avatar's behavior for the user. This allows the user to experience the avatar's realistic reactions in real time.

[0245] (Example 1)

[0246] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0247] Conventional virtual communication systems have struggled to provide natural, real-time interaction with users, particularly in generating rapid responses that accommodate diverse inputs. Furthermore, achieving immediate and appropriate responses to user voice and gesture inputs required advanced data processing and animation generation.

[0248] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0249] In this invention, the server includes means for interpreting various forms of input information received from the user and estimating the user's intent; means for generating natural avatar movements using an artificial intelligence model based on the estimated user intent; means for structuring the generated avatar movements as data packets, distributing them to the terminal in real time, and displaying and playing audio on the terminal; and means for acquiring user input information using the terminal's sensors and microphone, encoding it, and transmitting it to the server. This enables real-time, two-way communication that can immediately respond to various forms of user input and realize natural interaction.

[0250] A "user" refers to a person who uses the system to input information and interact with a virtual character.

[0251] "Input information" refers to data that a user provides to the system, and includes digital data in various forms such as text, voice, and gestures.

[0252] "Means for inferring intent" refers to a mechanism that performs a process of analyzing the user's objectives and requests based on the input information received from the user.

[0253] An "artificial intelligence model" refers to a set of computational algorithms that perform decision-making, predictions, and information generation based on collected data.

[0254] "Natural avatar behavior" refers to the actions and expressions of a virtual character generated based on the user's intentions, and realistic movements designed to facilitate smooth interaction with the user.

[0255] A "data packet" is a unit of data that is divided into smaller parts for transmitting the generated avatar's movement information via digital communication.

[0256] A "terminal" refers to an electronic device that a user operates and uses to communicate with a system through an interface.

[0257] A "sensor" refers to a device that detects a user's physical movements and changes in the environment, and records them as digital data.

[0258] A "microphone" refers to a device that detects sound, converts it into an electrical signal, and provides it as input information.

[0259] "Encoding" refers to the process of converting acquired information into a specific format, making it digital data that is easy to transmit or store.

[0260] This invention is a system that enables natural, real-time communication with a virtual avatar between a user, a terminal, and a server. The system is designed to receive diverse forms of input information from the user, and based on this information, the avatar performs natural actions.

[0261] Users provide input information via their devices in the form of text, voice, gestures, and other formats. In this process, the device's sensors and microphones play a crucial role in capturing the user's voice and actions in real time, encoding them into digital data, and transmitting them to the server.

[0262] The server analyzes the received data to estimate the user's intent and uses an artificial intelligence model to generate natural movements for the avatar. Natural language processing, speech recognition technology, and gesture recognition algorithms support this process, creating appropriate responses in real time according to the user's requests. For example, if a user says "Hello" to the device and waves, the server analyzes this input and generates an animation and voice in which the avatar smiles and says, "Hello, what shall we talk about today?"

[0263] The generated avatar's motion data is transmitted to the device in real time. The device immediately decodes the received data, displays the avatar's animation on the screen, and plays the avatar's voice using an audio output device. This entire process allows the user to enjoy a seamless and realistic communication experience.

[0264] A concrete example of a prompt message could be, "Generate a scene where the user says hello and the avatar responds." This allows the terminal and server to work together to provide the user with an engaging and intuitive experience.

[0265] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0266] Step 1:

[0267] The user provides input information via the device. This input information takes various forms, including language, voice, and gestures, and is acquired through the device's microphone and sensors. A specific example of such an action is the user saying "hello" and waving their hand. The device performs input processing to convert this analog information into digital data, generating the basic data necessary to estimate the user's intent.

[0268] Step 2:

[0269] The terminal formats the acquired digital data and sends it to the server. Specifically, speech recognition technology is used to encode voice data and convert it to text. Text data and gesture data are also formatted into the appropriate format. The terminal's output is sent to the server as formatted data packets.

[0270] Step 3:

[0271] The server receives data sent from the terminal and processes it in real time. Voice data is converted to text by a speech recognition system, and the user's intent is interpreted from the text and gesture data using natural language processing technology and gesture recognition algorithms. This data processing estimates the user's purpose, and based on a generative AI model, it generates natural movements for the avatar.

[0272] Step 4:

[0273] The server structures the generated avatar's actions as data packets and sends them to the terminal. Specifically, the server compresses and packets the response animation and audio data generated by the AI ​​model while maintaining real-time performance, and sends them to the terminal via a communication protocol.

[0274] Step 5:

[0275] The device receives data packets sent from the server and decodes them immediately. This displays the avatar's animation on the screen and plays the avatar's voice on the audio output device. For example, the avatar might respond to the user with "Hello, what shall we talk about today?", creating a natural interaction experience. The device's final output is real-time visual and auditory feedback to the user.

[0276] (Application Example 1)

[0277] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0278] In virtual spaces, there is a lack of interfaces that allow users to interact with products in a natural and effective way, and in particular, a lack of appropriate feedback and guidance to improve the customer experience. As a result, customers cannot easily obtain information about the product, which may lead to a decrease in their willingness to purchase.

[0279] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0280] In this invention, the server includes means for interpreting input data received from a user and estimating their intent; means for generating natural behavior of an avatar based on the estimated user intent; means for distributing the generated avatar behavior to a terminal in real time and creating data packets for display on the terminal; and means for supporting interaction when a customer operates a product in a virtual space. This enables customers to enjoy a natural interface through an avatar in real time, improving their product information acquisition and operational experience.

[0281] "Input data" refers to information provided by the user in the form of voice, text, gestures, etc.

[0282] The "means for estimating intention" is a technology or process for analyzing and determining the user's wishes and purposes from input data.

[0283] The "means for generating natural behavior of an avatar" is a method for generating the actions and utterances of a virtual character according to the user's intention and making it behave realistically and intuitively.

[0284] The "means for creating data packets" is a technology for processing the behavior data of an avatar into a form that can be transferred in real time and distributing it to terminals.

[0285] "Deliver in real time and display on the terminal" means transmitting the generated behavior of the avatar to the user's device without delay and visualizing it on the spot.

[0286] The "means for supporting interaction when a customer operates a product in a virtual space" is a technology for the user to ask questions about a product in a virtual store and providing appropriate responses thereto.

[0287] To implement this invention, the user first uses a terminal such as a smartphone or smart glasses to access a virtual store application. The terminal acquires input data such as voice and gestures received from the user. This data is collected using sensors such as microphones and cameras that each device has.

[0288] The server is responsible for interpreting the received input data in real time. In the case of voice input, the server uses speech recognition software (e.g., Google Speech-to-Text API) to convert the voice data into text. The text data and gesture data are analyzed using natural language processing software (e.g., Google Natural Language API) and gesture recognition algorithms to derive the user's intention.

[0289] Next, the server uses an AI model to generate natural avatar behavior. For example, a 3D animation engine such as Unity 3D is used to create avatar animations in real time. Additionally, speech synthesis technology can be used to generate the avatar's voice if necessary.

[0290] The generated avatar behavior data is configured as data packets by the server and sent to the terminal. The terminal decodes this data in real time and displays the avatar's animation on the screen. It is also possible to play the avatar's voice via an audio output device.

[0291] For example, if a user voices a prompt such as, "Tell me more about the features of this product," the avatar can respond by explaining the product details and visually displaying related products. In this way, this invention allows customers to experience seamless interaction in a virtual store and freely obtain information about products.

[0292] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0293] Step 1:

[0294] The user provides input via voice or gestures through a smartphone or smart glasses device. The device collects this input data using a microphone and camera, and simultaneously identifies the type of input (voice or gesture). In this step, the input is the user's raw voice or gestures, and the output is the digitized input data. Digitization involves sampling and quantizing the audio signal in the case of audio data.

[0295] Step 2:

[0296] The terminal formats the digitized input data and sends it to the server. In particular, audio data is sent directly to the server, which receives it and recognizes it as input data. The input is digital audio data, and the output is a packet to be sent to the server. The data formatting includes specifying the sample rate and encoding format (e.g., PCM format).

[0297] Step 3:

[0298] The server converts the received audio data into text using speech recognition software (e.g., Google Speech-to-Text API). This conversion process recognizes phonemes and words from the audio signal and generates the corresponding text. The input is digital audio data, and the output is converted text data. This step involves audio signal processing and phoneme matching.

[0299] Step 4:

[0300] The server, upon receiving text data, analyzes it using natural language processing software (e.g., Google Natural Language API) to interpret the user's intent. Specifically, it performs semantic analysis and contextual understanding of the text to identify the information and actions the user is seeking. The input is text data, and the output is a data structure containing the interpreted intent. The operation includes morphological analysis and contextual inference.

[0301] Step 5:

[0302] Based on the interpreted intent, the server uses an AI model to generate natural responses and actions for the avatar. This includes creating prompts in the generative AI model and deriving appropriate animations and sounds. The input is user intent information, and the output is the avatar's behavioral commands. Actions include running the AI ​​model's inference engine.

[0303] Step 6:

[0304] Upon receiving the avatar behavior instruction, the server constructs data packets and transmits this information to the terminal in real time. The input is the avatar behavior instruction, and the output is the real-time data packets transmitted to the terminal. The data packets include animation frames, voice data, etc., and are delivered according to the UDP or TCP / IP protocol.

[0305] Step 7:

[0306] The terminal decodes the received data packets and displays and plays the avatar's animation and voice. The input is the data packet, and the output is the animation video and voice viewed by the user. The operations include synchronization of playback timing and animation rendering.

[0307] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion.

[0308] The present invention is a system that provides real-time natural communication with a virtual avatar through the interaction among the user, the terminal, and the server, and is characterized by an emotion engine that recognizes the user's emotion and adjusts the avatar's behavior. The system of the present invention is implemented according to the following procedure.

[0309] The user provides voice and video data through the microphone and camera of the terminal. This data is used to recognize the emotional state, including the user's gestures and expressions. The terminal collects these data in real time and encodes them into digital data for transmission to the server. The encoded data includes text, voice, and gesture information.

[0310] The server uses the data received from the terminal to perform analysis using an emotion engine. The emotion engine includes an algorithm that recognizes the user's emotions from factors such as tone and speed of speech and changes in facial expressions. This allows the server to accurately estimate the user's emotional state and reflect that information in the avatar's responses.

[0311] The server generates natural behavior for the avatar based on recognized emotions. This is specifically to ensure the avatar responds in a way that is appropriate to the user's emotions, influencing their speech, facial expressions, and movements. This response is coordinated and generated through the collaboration of an AI model and an emotion engine.

[0312] Avatar behavior data generated on the server is transmitted to the terminal in real time. The terminal decodes this data and uses it to display and reproduce the avatar's behavior for the user. This entire process allows the user to experience natural interactions where the avatar seems to understand and respond to emotions.

[0313] For example, if a user expresses dissatisfaction, the emotion engine interprets the dissatisfaction from their tone and facial expression, and the server adjusts the avatar to respond with something like, "Is there anything I can help you with?" These responses are displayed on the device in real time, allowing users to communicate closely with their avatar.

[0314] The following describes the processing flow.

[0315] Step 1:

[0316] The user speaks or makes gestures towards the device. The device's microphone captures the audio, and the camera captures the user's face and body movements.

[0317] Step 2:

[0318] The device converts the acquired audio data into a digital format, and the gesture data is digitized as coordinates and movement patterns. This data is then formatted into data packets for transmission to the server.

[0319] Step 3:

[0320] The terminal sends the formatted data packets to the server. A communication protocol that takes priority and real-time requirements into account is used during this process.

[0321] Step 4:

[0322] The server receives data packets from the terminal and decodes them. This converts the voice, text, and gesture information into a format that can be analyzed.

[0323] Step 5:

[0324] The server passes the decoded data to the emotion engine to recognize the user's emotions. It evaluates the emotional state using voice tone analysis and facial expression detection algorithms.

[0325] Step 6:

[0326] The server uses an AI model based on the user's emotion recognition results to determine the appropriate response for the avatar. This is where the avatar's speech, facial expressions, and actions are generated.

[0327] Step 7:

[0328] The server transmits the generated avatar's behavior data to the terminal in real time. This data includes audio clips and animation sequences.

[0329] Step 8:

[0330] The device receives data sent from the server, decodes it, and plays back the avatar's behavior. This allows the user to see the avatar's reactions in real time.

[0331] Step 9:

[0332] The user observes the avatar's reaction displayed on the device and then performs the next interaction. This new input triggers the cycle to repeat.

[0333] (Example 2)

[0334] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0335] Conventional virtual communication systems have struggled to accurately recognize user emotions and generate natural responses accordingly. This has resulted in users feeling that interactions with avatars are unnatural and failing to achieve sufficient satisfaction. Furthermore, effectively providing a real-time dialogue experience requires technology to rapidly process and efficiently display large amounts of data.

[0336] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0337] In this invention, the server includes means for analyzing audio and video information received from the user and estimating emotions; means for generating natural behavior of an avatar using a generative AI model based on the estimated user emotions; and means for distributing the generated avatar behavior to a terminal in real time and creating information packets for display on the terminal. This enables natural virtual dialogue adapted to the user's emotions.

[0338] A "user" refers to a person who provides audio and video information to use the system and experiences interaction with an avatar.

[0339] "Audio and video information" refers to audio and video signals captured from the user, including data used for emotion recognition.

[0340] "Means for estimating emotions" refers to algorithms and technologies for analyzing and estimating a user's emotional state from collected audio and video information.

[0341] A "generative AI model" refers to AI technology that generates appropriate avatar behavior based on the estimated emotions of the user.

[0342] "Means for generating natural avatar behavior" refers to the process of creating responses using generative AI models so that the avatar exhibits behavior adapted to the user's emotions.

[0343] An "information packet" refers to a data format that contains avatar behavior data and is used to deliver it to a terminal via a communication network.

[0344] A "terminal" refers to an electronic device used to display and reproduce the behavior of an avatar in order to enable interaction with the user.

[0345] When users utilize the system, their voice and video information is collected through the terminal. The terminal is equipped with a microphone and camera, which capture the user's speech and facial expressions in real time. This data is used as basic information to recognize the user's emotions.

[0346] The device converts collected audio into text data and analyzes the user's facial expressions and gestures from video data. This allows for detailed extraction of the user's emotional state from their voice tone and facial expressions. This data is then encoded in digital format and efficiently transmitted to the server.

[0347] The server analyzes the received audio and video data using an emotion engine to estimate the user's emotions. The emotion engine analyzes the intonation of the voice and facial expressions to infer what emotions the user is feeling. For example, if a user makes a dissatisfied sound and frowns, the emotion engine will detect this data and identify the emotion of dissatisfaction.

[0348] Based on the estimated emotions, the server uses a generative AI model to generate natural behavior for the avatar. Here, the generative AI model creates appropriate avatar responses according to the emotion data. Specifically, if the user shows dissatisfaction, the avatar will generate animation and voice prompts to gently ask, "Is there anything I can help you with?" An example of this prompt is, "Generate an appropriate avatar response when the user appears dissatisfied."

[0349] The generated avatar's behavior is streamed to the device in real time. The device interprets this data, displays the avatar on its screen, and plays audio through its speakers. This allows the user to experience natural conversations with the avatar, where their emotions are understood and adapted.

[0350] This system will allow users to enjoy immersive virtual communication, and it is expected that conversations will become more intuitive and enriching.

[0351] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0352] Step 1:

[0353] The user inputs audio and video through the device's microphone and camera. The input audio data is converted into text data using a speech recognition algorithm, and its intonation and tone are also analyzed. Facial expressions and gestures are extracted from the video data. From this information, basic data is obtained to identify the user's emotions.

[0354] Step 2:

[0355] The terminal encodes the acquired audio and video data into a digital format and sends it to the server as a packet containing various feature quantities (e.g., tone, facial expression patterns). During this process, data compression and encryption are applied to ensure security. The data packet includes speech text, speech tone, and facial expression features.

[0356] Step 3:

[0357] The server uses an emotion engine to analyze the user's emotions based on the data received from the terminal. Based on the input data, the emotion engine analyzes the intonation of the voice and changes in facial expressions to estimate what emotions the user is feeling. The estimated emotion of the user is generated as output.

[0358] Step 4:

[0359] The server takes estimated emotion data as prompts and uses a generative AI model to generate responses for the avatar. For example, if the user expresses dissatisfaction, the AI ​​model will have the avatar make empathetic statements such as "Tell me more about that." This process results in natural and appropriate behavior for the avatar.

[0360] Step 5:

[0361] The generated avatar's behavior data is delivered to the device in real time. The device decodes the received behavior data, moves the avatar on the display, and plays audio through the speaker. As a result, the user can experience real-time virtual interaction that responds to their emotions.

[0362] (Application Example 2)

[0363] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0364] Traditional online experiences struggle to achieve natural communication between users and digital avatars. Therefore, there is a need for a system that can accurately recognize user emotions and provide appropriate responses in real time. Furthermore, especially in virtual stores, providing interactive experiences that deepen user interest and drive sales is a crucial challenge.

[0365] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0366] In this invention, the server includes means for interpreting input data received from a user and estimating their emotional state; means for generating natural responses from an avatar based on the estimated user's emotions; means for distributing the generated avatar responses to an information processing device in real time and creating digital information for display on the information processing device; means for analyzing emotions from the user's facial expressions and voice using an emotion recognition engine; and means for generating avatar responses that provide product information of interest to the user. This enables natural and interactive communication with an avatar that is in line with the user's emotions, and allows for effective sales promotion that deepens user interest even in virtual stores.

[0367] A "user" is an individual who interacts with a digital avatar via an information processing device, and whose emotional state is analyzed.

[0368] "Input data" refers to information received from the user, including voice, gesture, and facial expression data.

[0369] "Emotional state" refers to the psychological condition estimated based on the user's facial expressions, tone of voice, and other factors.

[0370] An "avatar" is a virtual character that interacts with users in a digital space.

[0371] A "natural response" refers to the interactive and appropriate behavior that an avatar exhibits in response to the user's emotional state.

[0372] An "information processing device" is a computing device that enables communication between a user and an avatar.

[0373] "Digital information" refers to avatar movement data that is transmitted to an information processing device and intended to be displayed to the user.

[0374] An "emotion recognition engine" is a set of algorithms and software used to detect and analyze a user's emotional state from their voice and facial expressions.

[0375] "Product information" refers to detailed data about products and services that users have shown interest in within a virtual store.

[0376] The system for realizing this invention enables real-time communication between a user and a digital avatar. The user provides input data, including emotions, through the camera and microphone of the information processing device. This data, including the user's facial expressions, voice, and gestures, is captured by the information processing device.

[0377] The information processing device encodes the received input data and sends it to the server as digital information. The server is equipped with an emotion recognition engine that analyzes the user's voice tone and facial expression changes to estimate their emotional state. Machine learning libraries such as TensorFlow and PyTorch are used to implement the emotion recognition engine.

[0378] Based on the analyzed emotional information, the server uses a generative AI model to generate natural responses for the avatar. This generation process adjusts the avatar's speech, facial expressions, and movements to create reactions that match the user's emotions. The resulting digital information is then sent back to the information processing device and displayed to the user.

[0379] For example, if a user shows interest in a product in a virtual store, the server will have an avatar generate a response that introduces the details of that product. The avatar can analyze the user's reaction and ask questions such as, "Do you have any questions about this product?"

[0380] An example of a prompt might be, "How should the avatar's response be set when the user is smiling?" This prompt serves as a guideline when generating the avatar's response.

[0381] As described above, the system of the present invention is capable of accurately recognizing the user's emotional state and realizing natural interaction accordingly.

[0382] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0383] Step 1:

[0384] The user provides input data using the camera and microphone of the information processing device. This input includes the user's facial expressions, voice, and gestures, which are converted into digital data in real time. The terminal accurately captures and encodes this data and generates data packets for transmission to the server.

[0385] Step 2:

[0386] The terminal transmits encoded digital information to the server. The server receives the input data and analyzes it using an emotion recognition engine. Specifically, it executes an algorithm that estimates the emotional state from voice tone and facial features. The output is data that represents the user's current emotional state.

[0387] Step 3:

[0388] The server uses a generative AI model based on the output of the emotion recognition engine to generate avatar responses. The generation process includes calculations that determine the avatar's specific speech, facial expressions, and movements using prompt text as input. The output is the avatar's behavior data.

[0389] Step 4:

[0390] The server sends the generated avatar's behavior data to the device. The device decodes this data and displays the avatar's response to the user. This allows the avatar to respond in a way that is appropriate to the user's emotional state, resulting in natural interaction.

[0391] Step 5:

[0392] The user interacts further based on the displayed avatar's response, providing new input data. This cycle enables continuous and natural dialogue.

[0393] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0394] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0395] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0396] [Third Embodiment]

[0397] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0398] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0399] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0400] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0401] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0402] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0403] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0404] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0405] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0406] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0407] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0408] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0409] This invention is a system that enables natural, real-time communication with a virtual avatar through interaction between the user, terminal, and server. Specific embodiments of this system will be described below.

[0410] First, the user provides input data via the device. This input data can take various forms, such as text, voice, and gestures, and is acquired using the device's sensors and microphone. The device then encodes this data into a digital format and formats it for transmission to the server.

[0411] The server processes data received from the terminal in real time. Specifically, voice data is converted into text data through a speech recognition system, and the user's intent is interpreted from the text data and gesture data using natural language processing techniques and gesture recognition algorithms. Based on this interpretation, an AI model is used to generate natural behavior for the avatar.

[0412] The generated avatar behavior data is configured on the server as data packets that can be played back in real time on the terminal. The server sends these data packets to the terminal. The terminal immediately decodes the received data and displays the avatar's animation on the screen. It also plays the avatar's voice via an audio output device as needed.

[0413] This entire process allows users to enjoy seamless and highly flexible communication with their avatars. For example, if a user says "hello" to their device and makes a waving gesture, the server recognizes the input in real time and generates an animation and voice message in which the avatar smiles and says, "Hello, what shall we talk about today?" This response is instantly displayed and played on the device, providing a natural interaction experience.

[0414] The following describes the processing flow.

[0415] Step 1:

[0416] Users input voice, gestures, and text using the device's input devices. This data is collected by the device through its respective sensors and microphones.

[0417] Step 2:

[0418] The terminal encodes the received user input data into a digital format. Audio data is sampled for processing, and gesture input is converted into coordinate data as needed.

[0419] Step 3:

[0420] The terminal organizes the encoded data into data packets and sends them to the server over the network. These data packets contain the necessary processing information.

[0421] Step 4:

[0422] The server receives data packets sent from the terminal. The received data is decoded according to its format and converted into an analyzable form.

[0423] Step 5:

[0424] The server analyzes the decoded data and interprets its content using natural language processing techniques. Audio data is converted to text, and gesture data is subjected to recognition algorithms for intent interpretation.

[0425] Step 6:

[0426] The server estimates the user's intent from the analysis results and uses an AI model to generate appropriate avatar behavior. This process is designed to ensure that the avatar's responses are natural and in line with the user's intent.

[0427] Step 7:

[0428] The server packages the generated avatar's behavior data into data packets in a format that can be sent to the terminal in real time. This includes animation frames and audio clips.

[0429] Step 8:

[0430] The terminal receives data packets sent from the server and decodes them immediately. The decoded data is used for avatar animation and audio output.

[0431] Step 9:

[0432] The device uses the decoded data to display and play the avatar's behavior for the user. This allows the user to experience the avatar's realistic reactions in real time.

[0433] (Example 1)

[0434] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0435] Conventional virtual communication systems have struggled to provide natural, real-time interaction with users, particularly in generating rapid responses that accommodate diverse inputs. Furthermore, achieving immediate and appropriate responses to user voice and gesture inputs required advanced data processing and animation generation.

[0436] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0437] In this invention, the server includes means for interpreting various forms of input information received from the user and estimating the user's intent; means for generating natural avatar movements using an artificial intelligence model based on the estimated user intent; means for structuring the generated avatar movements as data packets, distributing them to the terminal in real time, and displaying and playing audio on the terminal; and means for acquiring user input information using the terminal's sensors and microphone, encoding it, and transmitting it to the server. This enables real-time, two-way communication that can immediately respond to various forms of user input and realize natural interaction.

[0438] A "user" refers to a person who uses the system to input information and interact with a virtual character.

[0439] "Input information" refers to data that a user provides to the system, and includes digital data in various forms such as text, voice, and gestures.

[0440] "Means for inferring intent" refers to a mechanism that performs a process of analyzing the user's objectives and requests based on the input information received from the user.

[0441] An "artificial intelligence model" refers to a set of computational algorithms that perform decision-making, predictions, and information generation based on collected data.

[0442] "Natural avatar behavior" refers to the actions and expressions of a virtual character generated based on the user's intentions, and realistic movements designed to facilitate smooth interaction with the user.

[0443] A "data packet" is a unit of data that is divided into smaller parts for transmitting the generated avatar's movement information via digital communication.

[0444] A "terminal" refers to an electronic device that a user operates and uses to communicate with a system through an interface.

[0445] A "sensor" refers to a device that detects a user's physical movements and changes in the environment, and records them as digital data.

[0446] A "microphone" refers to a device that detects sound, converts it into an electrical signal, and provides it as input information.

[0447] "Encoding" refers to the process of converting acquired information into a specific format, making it digital data that is easy to transmit or store.

[0448] This invention is a system that enables natural, real-time communication with a virtual avatar between a user, a terminal, and a server. The system is designed to receive diverse forms of input information from the user, and based on this information, the avatar performs natural actions.

[0449] Users provide input information via their devices in the form of text, voice, gestures, and other formats. In this process, the device's sensors and microphones play a crucial role in capturing the user's voice and actions in real time, encoding them into digital data, and transmitting them to the server.

[0450] The server analyzes the received data to estimate the user's intent and uses an artificial intelligence model to generate natural movements for the avatar. Natural language processing, speech recognition technology, and gesture recognition algorithms support this process, creating appropriate responses in real time according to the user's requests. For example, if a user says "Hello" to the device and waves, the server analyzes this input and generates an animation and voice in which the avatar smiles and says, "Hello, what shall we talk about today?"

[0451] The generated avatar's motion data is transmitted to the device in real time. The device immediately decodes the received data, displays the avatar's animation on the screen, and plays the avatar's voice using an audio output device. This entire process allows the user to enjoy a seamless and realistic communication experience.

[0452] A concrete example of a prompt message could be, "Generate a scene where the user says hello and the avatar responds." This allows the terminal and server to work together to provide the user with an engaging and intuitive experience.

[0453] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0454] Step 1:

[0455] The user provides input information via the device. This input information takes various forms, including language, voice, and gestures, and is acquired through the device's microphone and sensors. A specific example of such an action is the user saying "hello" and waving their hand. The device performs input processing to convert this analog information into digital data, generating the basic data necessary to estimate the user's intent.

[0456] Step 2:

[0457] The terminal formats the acquired digital data and sends it to the server. Specifically, speech recognition technology is used to encode voice data and convert it to text. Text data and gesture data are also formatted into the appropriate format. The terminal's output is sent to the server as formatted data packets.

[0458] Step 3:

[0459] The server receives data sent from the terminal and processes it in real time. Voice data is converted to text by a speech recognition system, and the user's intent is interpreted from the text and gesture data using natural language processing technology and gesture recognition algorithms. This data processing estimates the user's purpose, and based on a generative AI model, it generates natural movements for the avatar.

[0460] Step 4:

[0461] The server structures the generated avatar's actions as data packets and sends them to the terminal. Specifically, the server compresses and packets the response animation and audio data generated by the AI ​​model while maintaining real-time performance, and sends them to the terminal via a communication protocol.

[0462] Step 5:

[0463] The device receives data packets sent from the server and decodes them immediately. This displays the avatar's animation on the screen and plays the avatar's voice on the audio output device. For example, the avatar might respond to the user with "Hello, what shall we talk about today?", creating a natural interaction experience. The device's final output is real-time visual and auditory feedback to the user.

[0464] (Application Example 1)

[0465] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0466] In virtual spaces, there is a lack of interfaces that allow users to interact with products in a natural and effective way, and in particular, a lack of appropriate feedback and guidance to improve the customer experience. As a result, customers cannot easily obtain information about the product, which may lead to a decrease in their willingness to purchase.

[0467] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0468] In this invention, the server includes means for interpreting input data received from a user and estimating their intent; means for generating natural behavior of an avatar based on the estimated user intent; means for distributing the generated avatar behavior to a terminal in real time and creating data packets for display on the terminal; and means for supporting interaction when a customer operates a product in a virtual space. This enables customers to enjoy a natural interface through an avatar in real time, improving their product information acquisition and operational experience.

[0469] "Input data" refers to information provided by the user in the form of voice, text, gestures, etc.

[0470] "Means for inferring intent" refers to technologies and processes for analyzing and determining the user's wishes and objectives from input data.

[0471] "Means for generating natural avatar behavior" refers to methods for generating actions and speech of virtual characters in accordance with the user's intentions, making them behave realistically and intuitively.

[0472] "Means for creating data packets" refers to the technology for processing avatar behavior data into a format that can be transferred in real time and delivering it to the terminal.

[0473] "Real-time streaming and display on the device" means sending the generated avatar's behavior to the user's device without delay and visualizing it on the spot.

[0474] "Means of supporting customer interaction when interacting with products in a virtual space" refers to technologies that enable users to ask questions about products in a virtual store and receive appropriate responses.

[0475] To implement this invention, the user first accesses a virtual store application using a device such as a smartphone or smart glasses. The device acquires input data such as voice and gestures received from the user. This data is collected using sensors such as microphones and cameras on each device.

[0476] The server is responsible for interpreting the received input data in real time. In the case of voice input, the server uses speech recognition software (e.g., Google Speech-to-Text API) to convert the voice data into text. The text data and gesture data are then analyzed using natural language processing software (e.g., Google Natural Language API) and gesture recognition algorithms to derive the user's intent.

[0477] Next, the server uses an AI model to generate natural avatar behavior. For example, a 3D animation engine such as Unity 3D is used to create avatar animations in real time. Additionally, speech synthesis technology can be used to generate the avatar's voice if necessary.

[0478] The generated avatar behavior data is configured as data packets by the server and sent to the terminal. The terminal decodes this data in real time and displays the avatar's animation on the screen. It is also possible to play the avatar's voice via an audio output device.

[0479] For example, if a user voices a prompt such as, "Tell me more about the features of this product," the avatar can respond by explaining the product details and visually displaying related products. In this way, this invention allows customers to experience seamless interaction in a virtual store and freely obtain information about products.

[0480] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0481] Step 1:

[0482] The user provides input via voice or gestures through a smartphone or smart glasses device. The device collects this input data using a microphone and camera, and simultaneously identifies the type of input (voice or gesture). In this step, the input is the user's raw voice or gestures, and the output is the digitized input data. Digitization involves sampling and quantizing the audio signal in the case of audio data.

[0483] Step 2:

[0484] The terminal formats the digitized input data and sends it to the server. In particular, audio data is sent directly to the server, which receives it and recognizes it as input data. The input is digital audio data, and the output is a packet to be sent to the server. The data formatting includes specifying the sample rate and encoding format (e.g., PCM format).

[0485] Step 3:

[0486] The server converts the received audio data into text using speech recognition software (e.g., Google Speech-to-Text API). This conversion process recognizes phonemes and words from the audio signal and generates the corresponding text. The input is digital audio data, and the output is converted text data. This step involves audio signal processing and phoneme matching.

[0487] Step 4:

[0488] The server, upon receiving text data, analyzes it using natural language processing software (e.g., Google Natural Language API) to interpret the user's intent. Specifically, it performs semantic analysis and contextual understanding of the text to identify the information and actions the user is seeking. The input is text data, and the output is a data structure containing the interpreted intent. The operation includes morphological analysis and contextual inference.

[0489] Step 5:

[0490] Based on the interpreted intent, the server uses an AI model to generate natural responses and actions for the avatar. This includes creating prompts in the generative AI model and deriving appropriate animations and sounds. The input is user intent information, and the output is the avatar's behavioral commands. Actions include running the AI ​​model's inference engine.

[0491] Step 6:

[0492] Upon receiving commands for the avatar's behavior, the server constructs data packets and transmits this information to the terminal in real time. The input is the avatar behavior commands, and the output is the real-time data packets sent to the terminal. The data packets include animation frames and audio data, and are delivered using UDP or TCP / IP protocols.

[0493] Step 7:

[0494] The terminal decodes received data packets and displays and plays avatar animations and audio. The input is data packets, and the output is the animated video and audio viewed by the user. Operation includes synchronization of playback timing and animation rendering.

[0495] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0496] The present invention is a system that provides real-time, natural communication with a virtual avatar through interaction between the user, terminal, and server, and features an emotion engine that recognizes the user's emotions and adjusts the avatar's behavior accordingly. The system of the present invention is implemented according to the following procedure.

[0497] The user provides audio and video data through the device's microphone and camera. This data is used to recognize the user's emotional state, including their gestures and facial expressions. The device collects this data in real time and encodes it into digital data for transmission to the server. This encoded data includes text, audio, and gesture information.

[0498] The server uses the data received from the terminal to perform analysis using an emotion engine. The emotion engine includes an algorithm that recognizes the user's emotions from factors such as tone and speed of speech and changes in facial expressions. This allows the server to accurately estimate the user's emotional state and reflect that information in the avatar's responses.

[0499] The server generates natural behavior for the avatar based on recognized emotions. This is specifically to ensure the avatar responds in a way that is appropriate to the user's emotions, influencing their speech, facial expressions, and movements. This response is coordinated and generated through the collaboration of an AI model and an emotion engine.

[0500] Avatar behavior data generated on the server is transmitted to the terminal in real time. The terminal decodes this data and uses it to display and reproduce the avatar's behavior for the user. This entire process allows the user to experience natural interactions where the avatar seems to understand and respond to emotions.

[0501] For example, if a user expresses dissatisfaction, the emotion engine interprets the dissatisfaction from their tone and facial expression, and the server adjusts the avatar to respond with something like, "Is there anything I can help you with?" These responses are displayed on the device in real time, allowing users to communicate closely with their avatar.

[0502] The following describes the processing flow.

[0503] Step 1:

[0504] The user speaks or makes gestures towards the device. The device's microphone captures the audio, and the camera captures the user's face and body movements.

[0505] Step 2:

[0506] The device converts the acquired audio data into a digital format, and the gesture data is digitized as coordinates and movement patterns. This data is then formatted into data packets for transmission to the server.

[0507] Step 3:

[0508] The terminal sends the formatted data packets to the server. A communication protocol that takes priority and real-time requirements into account is used during this process.

[0509] Step 4:

[0510] The server receives data packets from the terminal and decodes them. This converts the voice, text, and gesture information into a format that can be analyzed.

[0511] Step 5:

[0512] The server passes the decoded data to the emotion engine to recognize the user's emotions. It evaluates the emotional state using voice tone analysis and facial expression detection algorithms.

[0513] Step 6:

[0514] The server uses an AI model based on the user's emotion recognition results to determine the appropriate response for the avatar. This is where the avatar's speech, facial expressions, and actions are generated.

[0515] Step 7:

[0516] The server transmits the generated avatar's behavior data to the terminal in real time. This data includes audio clips and animation sequences.

[0517] Step 8:

[0518] The device receives data sent from the server, decodes it, and plays back the avatar's behavior. This allows the user to see the avatar's reactions in real time.

[0519] Step 9:

[0520] The user observes the avatar's reaction displayed on the device and then performs the next interaction. This new input triggers the cycle to repeat.

[0521] (Example 2)

[0522] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0523] Conventional virtual communication systems have struggled to accurately recognize user emotions and generate natural responses accordingly. This has resulted in users feeling that interactions with avatars are unnatural and failing to achieve sufficient satisfaction. Furthermore, effectively providing a real-time dialogue experience requires technology to rapidly process and efficiently display large amounts of data.

[0524] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0525] In this invention, the server includes means for analyzing audio and video information received from the user and estimating emotions; means for generating natural behavior of an avatar using a generative AI model based on the estimated user emotions; and means for distributing the generated avatar behavior to a terminal in real time and creating information packets for display on the terminal. This enables natural virtual dialogue adapted to the user's emotions.

[0526] A "user" refers to a person who provides audio and video information to use the system and experiences interaction with an avatar.

[0527] "Audio and video information" refers to audio and video signals captured from the user, including data used for emotion recognition.

[0528] "Means for estimating emotions" refers to algorithms and technologies for analyzing and estimating a user's emotional state from collected audio and video information.

[0529] A "generative AI model" refers to AI technology that generates appropriate avatar behavior based on the estimated emotions of the user.

[0530] "Means for generating natural avatar behavior" refers to the process of creating responses using generative AI models so that the avatar exhibits behavior adapted to the user's emotions.

[0531] An "information packet" refers to a data format that contains avatar behavior data and is used to deliver it to a terminal via a communication network.

[0532] A "terminal" refers to an electronic device used to display and reproduce the behavior of an avatar in order to enable interaction with the user.

[0533] When users utilize the system, their voice and video information is collected through the terminal. The terminal is equipped with a microphone and camera, which capture the user's speech and facial expressions in real time. This data is used as basic information to recognize the user's emotions.

[0534] The device converts collected audio into text data and analyzes the user's facial expressions and gestures from video data. This allows for detailed extraction of the user's emotional state from their voice tone and facial expressions. This data is then encoded in digital format and efficiently transmitted to the server.

[0535] The server analyzes the received audio and video data using an emotion engine to estimate the user's emotions. The emotion engine analyzes the intonation of the voice and facial expressions to infer what emotions the user is feeling. For example, if a user makes a dissatisfied sound and frowns, the emotion engine will detect this data and identify the emotion of dissatisfaction.

[0536] Based on the estimated emotions, the server uses a generative AI model to generate natural behavior for the avatar. Here, the generative AI model creates appropriate avatar responses according to the emotion data. Specifically, if the user shows dissatisfaction, the avatar will generate animation and voice prompts to gently ask, "Is there anything I can help you with?" An example of this prompt is, "Generate an appropriate avatar response when the user appears dissatisfied."

[0537] The generated avatar's behavior is streamed to the device in real time. The device interprets this data, displays the avatar on its screen, and plays audio through its speakers. This allows the user to experience natural conversations with the avatar, where their emotions are understood and adapted.

[0538] This system will allow users to enjoy immersive virtual communication, and it is expected that conversations will become more intuitive and enriching.

[0539] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0540] Step 1:

[0541] The user inputs audio and video through the device's microphone and camera. The input audio data is converted into text data using a speech recognition algorithm, and its intonation and tone are also analyzed. Facial expressions and gestures are extracted from the video data. From this information, basic data is obtained to identify the user's emotions.

[0542] Step 2:

[0543] The terminal encodes the acquired audio and video data into a digital format and sends it to the server as a packet containing various feature quantities (e.g., tone, facial expression patterns). During this process, data compression and encryption are applied to ensure security. The data packet includes speech text, speech tone, and facial expression features.

[0544] Step 3:

[0545] The server uses an emotion engine to analyze the user's emotions based on the data received from the terminal. Based on the input data, the emotion engine analyzes the intonation of the voice and changes in facial expressions to estimate what emotions the user is feeling. The estimated emotion of the user is generated as output.

[0546] Step 4:

[0547] The server takes estimated emotion data as prompts and uses a generative AI model to generate responses for the avatar. For example, if the user expresses dissatisfaction, the AI ​​model will have the avatar make empathetic statements such as "Tell me more about that." This process results in natural and appropriate behavior for the avatar.

[0548] Step 5:

[0549] The generated avatar's behavior data is delivered to the device in real time. The device decodes the received behavior data, moves the avatar on the display, and plays audio through the speaker. As a result, the user can experience real-time virtual interaction that responds to their emotions.

[0550] (Application Example 2)

[0551] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0552] Traditional online experiences struggle to achieve natural communication between users and digital avatars. Therefore, there is a need for a system that can accurately recognize user emotions and provide appropriate responses in real time. Furthermore, especially in virtual stores, providing interactive experiences that deepen user interest and drive sales is a crucial challenge.

[0553] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0554] In this invention, the server includes means for interpreting input data received from a user and estimating their emotional state; means for generating natural responses from an avatar based on the estimated user's emotions; means for distributing the generated avatar responses to an information processing device in real time and creating digital information for display on the information processing device; means for analyzing emotions from the user's facial expressions and voice using an emotion recognition engine; and means for generating avatar responses that provide product information of interest to the user. This enables natural and interactive communication with an avatar that is in line with the user's emotions, and allows for effective sales promotion that deepens user interest even in virtual stores.

[0555] A "user" is an individual who interacts with a digital avatar via an information processing device, and whose emotional state is analyzed.

[0556] "Input data" refers to information received from the user, including voice, gesture, and facial expression data.

[0557] "Emotional state" refers to the psychological condition estimated based on the user's facial expressions, tone of voice, and other factors.

[0558] An "avatar" is a virtual character that interacts with users in a digital space.

[0559] A "natural response" refers to the interactive and appropriate behavior that an avatar exhibits in response to the user's emotional state.

[0560] An "information processing device" is a computing device that enables communication between a user and an avatar.

[0561] "Digital information" refers to avatar movement data that is transmitted to an information processing device and intended to be displayed to the user.

[0562] An "emotion recognition engine" is a set of algorithms and software used to detect and analyze a user's emotional state from their voice and facial expressions.

[0563] "Product information" refers to detailed data about products and services that users have shown interest in within a virtual store.

[0564] The system for realizing this invention enables real-time communication between a user and a digital avatar. The user provides input data, including emotions, through the camera and microphone of the information processing device. This data, including the user's facial expressions, voice, and gestures, is captured by the information processing device.

[0565] The information processing device encodes the received input data and sends it to the server as digital information. The server is equipped with an emotion recognition engine that analyzes the user's voice tone and facial expression changes to estimate their emotional state. Machine learning libraries such as TensorFlow and PyTorch are used to implement the emotion recognition engine.

[0566] Based on the analyzed emotional information, the server uses a generative AI model to generate natural responses for the avatar. This generation process adjusts the avatar's speech, facial expressions, and movements to create reactions that match the user's emotions. The resulting digital information is then sent back to the information processing device and displayed to the user.

[0567] For example, if a user shows interest in a product in a virtual store, the server will have an avatar generate a response that introduces the details of that product. The avatar can analyze the user's reaction and ask questions such as, "Do you have any questions about this product?"

[0568] An example of a prompt might be, "How should the avatar's response be set when the user is smiling?" This prompt serves as a guideline when generating the avatar's response.

[0569] As described above, the system of the present invention is capable of accurately recognizing the user's emotional state and realizing natural interaction accordingly.

[0570] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0571] Step 1:

[0572] The user provides input data using the camera and microphone of the information processing device. This input includes the user's facial expressions, voice, and gestures, which are converted into digital data in real time. The terminal accurately captures and encodes this data and generates data packets for transmission to the server.

[0573] Step 2:

[0574] The terminal transmits encoded digital information to the server. The server receives the input data and analyzes it using an emotion recognition engine. Specifically, it executes an algorithm that estimates the emotional state from voice tone and facial features. The output is data that represents the user's current emotional state.

[0575] Step 3:

[0576] The server uses a generative AI model based on the output of the emotion recognition engine to generate avatar responses. The generation process includes calculations that determine the avatar's specific speech, facial expressions, and movements using prompt text as input. The output is the avatar's behavior data.

[0577] Step 4:

[0578] The server sends the generated avatar's behavior data to the device. The device decodes this data and displays the avatar's response to the user. This allows the avatar to respond in a way that is appropriate to the user's emotional state, resulting in natural interaction.

[0579] Step 5:

[0580] The user interacts further based on the displayed avatar's response, providing new input data. This cycle enables continuous and natural dialogue.

[0581] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0582] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0583] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0584] [Fourth Embodiment]

[0585] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0586] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0587] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0588] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0589] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0590] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0591] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0592] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0593] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0594] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0595] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0596] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0597] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0598] This invention is a system that enables natural, real-time communication with a virtual avatar through interaction between the user, terminal, and server. Specific embodiments of this system will be described below.

[0599] First, the user provides input data via the device. This input data can take various forms, such as text, voice, and gestures, and is acquired using the device's sensors and microphone. The device then encodes this data into a digital format and formats it for transmission to the server.

[0600] The server processes data received from the terminal in real time. Specifically, voice data is converted into text data through a speech recognition system, and the user's intent is interpreted from the text data and gesture data using natural language processing techniques and gesture recognition algorithms. Based on this interpretation, an AI model is used to generate natural behavior for the avatar.

[0601] The generated avatar behavior data is configured on the server as data packets that can be played back in real time on the terminal. The server sends these data packets to the terminal. The terminal immediately decodes the received data and displays the avatar's animation on the screen. It also plays the avatar's voice via an audio output device as needed.

[0602] This entire process allows users to enjoy seamless and highly flexible communication with their avatars. For example, if a user says "hello" to their device and makes a waving gesture, the server recognizes the input in real time and generates an animation and voice message in which the avatar smiles and says, "Hello, what shall we talk about today?" This response is instantly displayed and played on the device, providing a natural interaction experience.

[0603] The following describes the processing flow.

[0604] Step 1:

[0605] Users input voice, gestures, and text using the device's input devices. This data is collected by the device through its respective sensors and microphones.

[0606] Step 2:

[0607] The terminal encodes the received user input data into a digital format. Audio data is sampled for processing, and gesture input is converted into coordinate data as needed.

[0608] Step 3:

[0609] The terminal organizes the encoded data into data packets and sends them to the server over the network. These data packets contain the necessary processing information.

[0610] Step 4:

[0611] The server receives data packets sent from the terminal. The received data is decoded according to its format and converted into an analyzable form.

[0612] Step 5:

[0613] The server analyzes the decoded data and interprets its content using natural language processing techniques. Audio data is converted to text, and gesture data is subjected to recognition algorithms for intent interpretation.

[0614] Step 6:

[0615] The server estimates the user's intent from the analysis results and uses an AI model to generate appropriate avatar behavior. This process is designed to ensure that the avatar's responses are natural and in line with the user's intent.

[0616] Step 7:

[0617] The server packages the generated avatar's behavior data into data packets in a format that can be sent to the terminal in real time. This includes animation frames and audio clips.

[0618] Step 8:

[0619] The terminal receives data packets sent from the server and decodes them immediately. The decoded data is used for avatar animation and audio output.

[0620] Step 9:

[0621] The device uses the decoded data to display and play the avatar's behavior for the user. This allows the user to experience the avatar's realistic reactions in real time.

[0622] (Example 1)

[0623] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0624] Conventional virtual communication systems have struggled to provide natural, real-time interaction with users, particularly in generating rapid responses that accommodate diverse inputs. Furthermore, achieving immediate and appropriate responses to user voice and gesture inputs required advanced data processing and animation generation.

[0625] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0626] In this invention, the server includes means for interpreting various forms of input information received from the user and estimating the user's intent; means for generating natural avatar movements using an artificial intelligence model based on the estimated user intent; means for structuring the generated avatar movements as data packets, distributing them to the terminal in real time, and displaying and playing audio on the terminal; and means for acquiring user input information using the terminal's sensors and microphone, encoding it, and transmitting it to the server. This enables real-time, two-way communication that can immediately respond to various forms of user input and realize natural interaction.

[0627] A "user" refers to a person who uses the system to input information and interact with a virtual character.

[0628] "Input information" refers to data that a user provides to the system, and includes digital data in various forms such as text, voice, and gestures.

[0629] "Means for inferring intent" refers to a mechanism that performs a process of analyzing the user's objectives and requests based on the input information received from the user.

[0630] An "artificial intelligence model" refers to a set of computational algorithms that perform decision-making, predictions, and information generation based on collected data.

[0631] "Natural avatar behavior" refers to the actions and expressions of a virtual character generated based on the user's intentions, and realistic movements designed to facilitate smooth interaction with the user.

[0632] A "data packet" is a unit of data that is divided into smaller parts for transmitting the generated avatar's movement information via digital communication.

[0633] A "terminal" refers to an electronic device that a user operates and uses to communicate with a system through an interface.

[0634] A "sensor" refers to a device that detects a user's physical movements and changes in the environment, and records them as digital data.

[0635] A "microphone" refers to a device that detects sound, converts it into an electrical signal, and provides it as input information.

[0636] "Encoding" refers to the process of converting acquired information into a specific format, making it digital data that is easy to transmit or store.

[0637] This invention is a system that enables natural, real-time communication with a virtual avatar between a user, a terminal, and a server. The system is designed to receive diverse forms of input information from the user, and based on this information, the avatar performs natural actions.

[0638] Users provide input information via their devices in the form of text, voice, gestures, and other formats. In this process, the device's sensors and microphones play a crucial role in capturing the user's voice and actions in real time, encoding them into digital data, and transmitting them to the server.

[0639] The server analyzes the received data to estimate the user's intent and uses an artificial intelligence model to generate natural movements for the avatar. Natural language processing, speech recognition technology, and gesture recognition algorithms support this process, creating appropriate responses in real time according to the user's requests. For example, if a user says "Hello" to the device and waves, the server analyzes this input and generates an animation and voice in which the avatar smiles and says, "Hello, what shall we talk about today?"

[0640] The generated avatar's motion data is transmitted to the device in real time. The device immediately decodes the received data, displays the avatar's animation on the screen, and plays the avatar's voice using an audio output device. This entire process allows the user to enjoy a seamless and realistic communication experience.

[0641] A concrete example of a prompt message could be, "Generate a scene where the user says hello and the avatar responds." This allows the terminal and server to work together to provide the user with an engaging and intuitive experience.

[0642] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0643] Step 1:

[0644] The user provides input information via the device. This input information takes various forms, including language, voice, and gestures, and is acquired through the device's microphone and sensors. A specific example of such an action is the user saying "hello" and waving their hand. The device performs input processing to convert this analog information into digital data, generating the basic data necessary to estimate the user's intent.

[0645] Step 2:

[0646] The terminal formats the acquired digital data and sends it to the server. Specifically, speech recognition technology is used to encode voice data and convert it to text. Text data and gesture data are also formatted into the appropriate format. The terminal's output is sent to the server as formatted data packets.

[0647] Step 3:

[0648] The server receives data sent from the terminal and processes it in real time. Voice data is converted to text by a speech recognition system, and the user's intent is interpreted from the text and gesture data using natural language processing technology and gesture recognition algorithms. This data processing estimates the user's purpose, and based on a generative AI model, it generates natural movements for the avatar.

[0649] Step 4:

[0650] The server structures the generated avatar's actions as data packets and sends them to the terminal. Specifically, the server compresses and packets the response animation and audio data generated by the AI ​​model while maintaining real-time performance, and sends them to the terminal via a communication protocol.

[0651] Step 5:

[0652] The device receives data packets sent from the server and decodes them immediately. This displays the avatar's animation on the screen and plays the avatar's voice on the audio output device. For example, the avatar might respond to the user with "Hello, what shall we talk about today?", creating a natural interaction experience. The device's final output is real-time visual and auditory feedback to the user.

[0653] (Application Example 1)

[0654] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0655] In virtual spaces, there is a lack of interfaces that allow users to interact with products in a natural and effective way, and in particular, a lack of appropriate feedback and guidance to improve the customer experience. As a result, customers cannot easily obtain information about the product, which may lead to a decrease in their willingness to purchase.

[0656] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0657] In this invention, the server includes means for interpreting input data received from a user and estimating their intent; means for generating natural behavior of an avatar based on the estimated user intent; means for distributing the generated avatar behavior to a terminal in real time and creating data packets for display on the terminal; and means for supporting interaction when a customer operates a product in a virtual space. This enables customers to enjoy a natural interface through an avatar in real time, improving their product information acquisition and operational experience.

[0658] "Input data" refers to information provided by the user in the form of voice, text, gestures, etc.

[0659] "Means for inferring intent" refers to technologies and processes for analyzing and determining the user's wishes and objectives from input data.

[0660] "Means for generating natural avatar behavior" refers to methods for generating actions and speech of virtual characters in accordance with the user's intentions, making them behave realistically and intuitively.

[0661] "Means for creating data packets" refers to the technology for processing avatar behavior data into a format that can be transferred in real time and delivering it to the terminal.

[0662] "Real-time streaming and display on the device" means sending the generated avatar's behavior to the user's device without delay and visualizing it on the spot.

[0663] "Means of supporting customer interaction when interacting with products in a virtual space" refers to technologies that enable users to ask questions about products in a virtual store and receive appropriate responses.

[0664] To implement this invention, the user first accesses a virtual store application using a device such as a smartphone or smart glasses. The device acquires input data such as voice and gestures received from the user. This data is collected using sensors such as microphones and cameras on each device.

[0665] The server is responsible for interpreting the received input data in real time. In the case of voice input, the server uses speech recognition software (e.g., Google Speech-to-Text API) to convert the voice data into text. The text data and gesture data are then analyzed using natural language processing software (e.g., Google Natural Language API) and gesture recognition algorithms to derive the user's intent.

[0666] Next, the server uses an AI model to generate natural avatar behavior. For example, a 3D animation engine such as Unity 3D is used to create avatar animations in real time. Additionally, speech synthesis technology can be used to generate the avatar's voice if necessary.

[0667] The generated avatar behavior data is configured as data packets by the server and sent to the terminal. The terminal decodes this data in real time and displays the avatar's animation on the screen. It is also possible to play the avatar's voice via an audio output device.

[0668] For example, if a user voices a prompt such as, "Tell me more about the features of this product," the avatar can respond by explaining the product details and visually displaying related products. In this way, this invention allows customers to experience seamless interaction in a virtual store and freely obtain information about products.

[0669] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0670] Step 1:

[0671] The user provides input via voice or gestures through a smartphone or smart glasses device. The device collects this input data using a microphone and camera, and simultaneously identifies the type of input (voice or gesture). In this step, the input is the user's raw voice or gestures, and the output is the digitized input data. Digitization involves sampling and quantizing the audio signal in the case of audio data.

[0672] Step 2:

[0673] The terminal formats the digitized input data and sends it to the server. In particular, audio data is sent directly to the server, which receives it and recognizes it as input data. The input is digital audio data, and the output is a packet to be sent to the server. The data formatting includes specifying the sample rate and encoding format (e.g., PCM format).

[0674] Step 3:

[0675] The server converts the received audio data into text using speech recognition software (e.g., Google Speech-to-Text API). This conversion process recognizes phonemes and words from the audio signal and generates the corresponding text. The input is digital audio data, and the output is converted text data. This step involves audio signal processing and phoneme matching.

[0676] Step 4:

[0677] The server, upon receiving text data, analyzes it using natural language processing software (e.g., Google Natural Language API) to interpret the user's intent. Specifically, it performs semantic analysis and contextual understanding of the text to identify the information and actions the user is seeking. The input is text data, and the output is a data structure containing the interpreted intent. The operation includes morphological analysis and contextual inference.

[0678] Step 5:

[0679] Based on the interpreted intent, the server uses an AI model to generate natural responses and actions for the avatar. This includes creating prompts in the generative AI model and deriving appropriate animations and sounds. The input is user intent information, and the output is the avatar's behavioral commands. Actions include running the AI ​​model's inference engine.

[0680] Step 6:

[0681] Upon receiving commands for the avatar's behavior, the server constructs data packets and transmits this information to the terminal in real time. The input is the avatar behavior commands, and the output is the real-time data packets sent to the terminal. The data packets include animation frames and audio data, and are delivered using UDP or TCP / IP protocols.

[0682] Step 7:

[0683] The terminal decodes received data packets and displays and plays avatar animations and audio. The input is data packets, and the output is the animated video and audio viewed by the user. Operation includes synchronization of playback timing and animation rendering.

[0684] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0685] The present invention is a system that provides real-time, natural communication with a virtual avatar through interaction between the user, terminal, and server, and features an emotion engine that recognizes the user's emotions and adjusts the avatar's behavior accordingly. The system of the present invention is implemented according to the following procedure.

[0686] The user provides audio and video data through the device's microphone and camera. This data is used to recognize the user's emotional state, including their gestures and facial expressions. The device collects this data in real time and encodes it into digital data for transmission to the server. This encoded data includes text, audio, and gesture information.

[0687] The server uses the data received from the terminal to perform analysis using an emotion engine. The emotion engine includes an algorithm that recognizes the user's emotions from factors such as tone and speed of speech and changes in facial expressions. This allows the server to accurately estimate the user's emotional state and reflect that information in the avatar's responses.

[0688] The server generates natural behavior for the avatar based on recognized emotions. This is specifically to ensure the avatar responds in a way that is appropriate to the user's emotions, influencing their speech, facial expressions, and movements. This response is coordinated and generated through the collaboration of an AI model and an emotion engine.

[0689] Avatar behavior data generated on the server is transmitted to the terminal in real time. The terminal decodes this data and uses it to display and reproduce the avatar's behavior for the user. This entire process allows the user to experience natural interactions where the avatar seems to understand and respond to emotions.

[0690] For example, if a user expresses dissatisfaction, the emotion engine interprets the dissatisfaction from their tone and facial expression, and the server adjusts the avatar to respond with something like, "Is there anything I can help you with?" These responses are displayed on the device in real time, allowing users to communicate closely with their avatar.

[0691] The following describes the processing flow.

[0692] Step 1:

[0693] The user speaks or makes gestures towards the device. The device's microphone captures the audio, and the camera captures the user's face and body movements.

[0694] Step 2:

[0695] The device converts the acquired audio data into a digital format, and the gesture data is digitized as coordinates and movement patterns. This data is then formatted into data packets for transmission to the server.

[0696] Step 3:

[0697] The terminal sends the formatted data packets to the server. A communication protocol that takes priority and real-time requirements into account is used during this process.

[0698] Step 4:

[0699] The server receives data packets from the terminal and decodes them. This converts the voice, text, and gesture information into a format that can be analyzed.

[0700] Step 5:

[0701] The server passes the decoded data to the emotion engine to recognize the user's emotions. It evaluates the emotional state using voice tone analysis and facial expression detection algorithms.

[0702] Step 6:

[0703] The server uses an AI model based on the user's emotion recognition results to determine the appropriate response for the avatar. This is where the avatar's speech, facial expressions, and actions are generated.

[0704] Step 7:

[0705] The server transmits the generated avatar's behavior data to the terminal in real time. This data includes audio clips and animation sequences.

[0706] Step 8:

[0707] The device receives data sent from the server, decodes it, and plays back the avatar's behavior. This allows the user to see the avatar's reactions in real time.

[0708] Step 9:

[0709] The user observes the avatar's reaction displayed on the device and then performs the next interaction. This new input triggers the cycle to repeat.

[0710] (Example 2)

[0711] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0712] Conventional virtual communication systems have struggled to accurately recognize user emotions and generate natural responses accordingly. This has resulted in users feeling that interactions with avatars are unnatural and failing to achieve sufficient satisfaction. Furthermore, effectively providing a real-time dialogue experience requires technology to rapidly process and efficiently display large amounts of data.

[0713] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0714] In this invention, the server includes means for analyzing audio and video information received from the user and estimating emotions; means for generating natural behavior of an avatar using a generative AI model based on the estimated user emotions; and means for distributing the generated avatar behavior to a terminal in real time and creating information packets for display on the terminal. This enables natural virtual dialogue adapted to the user's emotions.

[0715] A "user" refers to a person who provides audio and video information to use the system and experiences interaction with an avatar.

[0716] "Audio and video information" refers to audio and video signals captured from the user, including data used for emotion recognition.

[0717] "Means for estimating emotions" refers to algorithms and technologies for analyzing and estimating a user's emotional state from collected audio and video information.

[0718] A "generative AI model" refers to AI technology that generates appropriate avatar behavior based on the estimated emotions of the user.

[0719] "Means for generating natural avatar behavior" refers to the process of creating responses using generative AI models so that the avatar exhibits behavior adapted to the user's emotions.

[0720] An "information packet" refers to a data format that contains avatar behavior data and is used to deliver it to a terminal via a communication network.

[0721] A "terminal" refers to an electronic device used to display and reproduce the behavior of an avatar in order to enable interaction with the user.

[0722] When users utilize the system, their voice and video information is collected through the terminal. The terminal is equipped with a microphone and camera, which capture the user's speech and facial expressions in real time. This data is used as basic information to recognize the user's emotions.

[0723] The device converts collected audio into text data and analyzes the user's facial expressions and gestures from video data. This allows for detailed extraction of the user's emotional state from their voice tone and facial expressions. This data is then encoded in digital format and efficiently transmitted to the server.

[0724] The server analyzes the received audio and video data using an emotion engine to estimate the user's emotions. The emotion engine analyzes the intonation of the voice and facial expressions to infer what emotions the user is feeling. For example, if a user makes a dissatisfied sound and frowns, the emotion engine will detect this data and identify the emotion of dissatisfaction.

[0725] Based on the estimated emotions, the server uses a generative AI model to generate natural behavior for the avatar. Here, the generative AI model creates appropriate avatar responses according to the emotion data. Specifically, if the user shows dissatisfaction, the avatar will generate animation and voice prompts to gently ask, "Is there anything I can help you with?" An example of this prompt is, "Generate an appropriate avatar response when the user appears dissatisfied."

[0726] The generated avatar's behavior is streamed to the device in real time. The device interprets this data, displays the avatar on its screen, and plays audio through its speakers. This allows the user to experience natural conversations with the avatar, where their emotions are understood and adapted.

[0727] This system will allow users to enjoy immersive virtual communication, and it is expected that conversations will become more intuitive and enriching.

[0728] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0729] Step 1:

[0730] The user inputs audio and video through the device's microphone and camera. The input audio data is converted into text data using a speech recognition algorithm, and its intonation and tone are also analyzed. Facial expressions and gestures are extracted from the video data. From this information, basic data is obtained to identify the user's emotions.

[0731] Step 2:

[0732] The terminal encodes the acquired audio and video data into a digital format and sends it to the server as a packet containing various feature quantities (e.g., tone, facial expression patterns). During this process, data compression and encryption are applied to ensure security. The data packet includes speech text, speech tone, and facial expression features.

[0733] Step 3:

[0734] The server uses an emotion engine to analyze the user's emotions based on the data received from the terminal. Based on the input data, the emotion engine analyzes the intonation of the voice and changes in facial expressions to estimate what emotions the user is feeling. The estimated emotion of the user is generated as output.

[0735] Step 4:

[0736] The server takes estimated emotion data as prompts and uses a generative AI model to generate responses for the avatar. For example, if the user expresses dissatisfaction, the AI ​​model will have the avatar make empathetic statements such as "Tell me more about that." This process results in natural and appropriate behavior for the avatar.

[0737] Step 5:

[0738] The generated avatar's behavior data is delivered to the device in real time. The device decodes the received behavior data, moves the avatar on the display, and plays audio through the speaker. As a result, the user can experience real-time virtual interaction that responds to their emotions.

[0739] (Application Example 2)

[0740] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0741] Traditional online experiences struggle to achieve natural communication between users and digital avatars. Therefore, there is a need for a system that can accurately recognize user emotions and provide appropriate responses in real time. Furthermore, especially in virtual stores, providing interactive experiences that deepen user interest and drive sales is a crucial challenge.

[0742] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0743] In this invention, the server includes means for interpreting input data received from a user and estimating their emotional state; means for generating natural responses from an avatar based on the estimated user's emotions; means for distributing the generated avatar responses to an information processing device in real time and creating digital information for display on the information processing device; means for analyzing emotions from the user's facial expressions and voice using an emotion recognition engine; and means for generating avatar responses that provide product information of interest to the user. This enables natural and interactive communication with an avatar that is in line with the user's emotions, and allows for effective sales promotion that deepens user interest even in virtual stores.

[0744] A "user" is an individual who interacts with a digital avatar via an information processing device, and whose emotional state is analyzed.

[0745] "Input data" refers to information received from the user, including voice, gesture, and facial expression data.

[0746] "Emotional state" refers to the psychological condition estimated based on the user's facial expressions, tone of voice, and other factors.

[0747] An "avatar" is a virtual character that interacts with users in a digital space.

[0748] A "natural response" refers to the interactive and appropriate behavior that an avatar exhibits in response to the user's emotional state.

[0749] An "information processing device" is a computing device that enables communication between a user and an avatar.

[0750] "Digital information" refers to avatar movement data that is transmitted to an information processing device and intended to be displayed to the user.

[0751] An "emotion recognition engine" is a set of algorithms and software used to detect and analyze a user's emotional state from their voice and facial expressions.

[0752] "Product information" refers to detailed data about products and services that users have shown interest in within a virtual store.

[0753] The system for realizing this invention enables real-time communication between a user and a digital avatar. The user provides input data, including emotions, through the camera and microphone of the information processing device. This data, including the user's facial expressions, voice, and gestures, is captured by the information processing device.

[0754] The information processing device encodes the received input data and sends it to the server as digital information. The server is equipped with an emotion recognition engine that analyzes the user's voice tone and facial expression changes to estimate their emotional state. Machine learning libraries such as TensorFlow and PyTorch are used to implement the emotion recognition engine.

[0755] Based on the analyzed emotional information, the server uses a generative AI model to generate natural responses for the avatar. This generation process adjusts the avatar's speech, facial expressions, and movements to create reactions that match the user's emotions. The resulting digital information is then sent back to the information processing device and displayed to the user.

[0756] For example, if a user shows interest in a product in a virtual store, the server will have an avatar generate a response that introduces the details of that product. The avatar can analyze the user's reaction and ask questions such as, "Do you have any questions about this product?"

[0757] An example of a prompt might be, "How should the avatar's response be set when the user is smiling?" This prompt serves as a guideline when generating the avatar's response.

[0758] As described above, the system of the present invention is capable of accurately recognizing the user's emotional state and realizing natural interaction accordingly.

[0759] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0760] Step 1:

[0761] The user provides input data using the camera and microphone of the information processing device. This input includes the user's facial expressions, voice, and gestures, which are converted into digital data in real time. The terminal accurately captures and encodes this data and generates data packets for transmission to the server.

[0762] Step 2:

[0763] The terminal transmits encoded digital information to the server. The server receives the input data and analyzes it using an emotion recognition engine. Specifically, it executes an algorithm that estimates the emotional state from voice tone and facial features. The output is data that represents the user's current emotional state.

[0764] Step 3:

[0765] The server uses a generative AI model based on the output of the emotion recognition engine to generate avatar responses. The generation process includes calculations that determine the avatar's specific speech, facial expressions, and movements using prompt text as input. The output is the avatar's behavior data.

[0766] Step 4:

[0767] The server sends the generated avatar's behavior data to the device. The device decodes this data and displays the avatar's response to the user. This allows the avatar to respond in a way that is appropriate to the user's emotional state, resulting in natural interaction.

[0768] Step 5:

[0769] The user interacts further based on the displayed avatar's response, providing new input data. This cycle enables continuous and natural dialogue.

[0770] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0771] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0772] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0773] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0774] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0775] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0776] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0777] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0778] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0779] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0780] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0781] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0782] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0783] 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.

[0784] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0785] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0786] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0787] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0788] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0789] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0790] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0791] The following is further disclosed regarding the embodiments described above.

[0792] (Claim 1)

[0793] A means of interpreting input data received from a user and estimating their intent,

[0794] A means for generating natural avatar behavior based on estimated user intent,

[0795] A means for delivering the behavior of the generated avatar to the terminal in real time and creating data packets for display on the terminal,

[0796] A system that includes this.

[0797] (Claim 2)

[0798] The system according to claim 1, comprising means for detecting gesture input from a user, encoding it into digital data, and transmitting it to a server.

[0799] (Claim 3)

[0800] The system according to claim 1, comprising means for generating animation frames of an avatar in real time using high-speed image generation technology.

[0801] "Example 1"

[0802] (Claim 1)

[0803] A means of interpreting diverse forms of input information received from users and estimating their intent,

[0804] A means for generating natural avatar movements using an artificial intelligence model based on estimated user intent,

[0805] A means for structuring the generated avatar's movements as data packets, distributing them to a terminal in real time, and displaying and playing audio on the terminal,

[0806] A means for acquiring user input information using the terminal's sensors and microphone, encoding it, and sending it to a server,

[0807] A system that includes this.

[0808] (Claim 2)

[0809] The system according to claim 1, comprising means for detecting hand gesture input from a user, converting it into digital information, and transmitting it to a server.

[0810] (Claim 3)

[0811] The system according to claim 1, comprising means for generating avatar motion depictions in real time using high-speed video generation technology.

[0812] "Application Example 1"

[0813] (Claim 1)

[0814] A means of interpreting input data received from a user and estimating their intent,

[0815] A means for generating natural avatar behavior based on estimated user intent,

[0816] A means for delivering the behavior of the generated avatar to the terminal in real time and creating data packets for display on the terminal,

[0817] A means to support customer interaction when they operate the product in a virtual space,

[0818] A system that includes this.

[0819] (Claim 2)

[0820] The system according to claim 1, comprising means for detecting gesture input from a user, encoding it into digital data, and transmitting it to a server.

[0821] (Claim 3)

[0822] The system according to claim 1, comprising means for generating animation frames of an avatar in real time using high-speed image generation technology.

[0823] "Example 2 of combining an emotion engine"

[0824] (Claim 1)

[0825] A means for analyzing audio and video information received from a user and estimating emotions,

[0826] A means of generating natural behavior for an avatar using a generative AI model based on estimated user emotions,

[0827] A means for delivering the behavior of the generated avatar to the terminal in real time and creating information packets for display on the terminal,

[0828] A system that includes this.

[0829] (Claim 2)

[0830] The system according to claim 1, comprising means for recognizing gesture input from a user, converting it into digital data, and transmitting it to an information processing device.

[0831] (Claim 3)

[0832] The system according to claim 1, comprising means for generating animated avatar video in real time using high-speed image generation technology.

[0833] "Application example 2 when combining with an emotional engine"

[0834] (Claim 1)

[0835] A means of interpreting input data received from a user and estimating their emotional state,

[0836] A means for generating natural responses from an avatar based on estimated user emotions,

[0837] A means for distributing the reactions of the generated avatar to an information processing device in real time and creating digital information for display on the information processing device,

[0838] A means of analyzing emotions from a user's facial expressions and voice using an emotion recognition engine,

[0839] A means of generating avatar responses that provide product information of interest to the user,

[0840] A system that includes this.

[0841] (Claim 2)

[0842] The system according to claim 1, comprising means for detecting gesture input from a user, encoding it into digital information, and transmitting it to an information processing device.

[0843] (Claim 3)

[0844] The system according to claim 1, comprising means for generating avatar video frames in real time using high-speed video generation technology. [Explanation of Symbols]

[0845] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of interpreting input data received from a user and estimating their intent, A means for generating natural avatar behavior based on estimated user intent, A means for delivering the behavior of the generated avatar to the terminal in real time and creating data packets for display on the terminal, A system that includes this.

2. The system according to claim 1, further comprising means for detecting gesture input from a user, encoding it into digital data, and transmitting it to a server.

3. The system according to claim 1, comprising means for generating animation frames of an avatar in real time using high-speed image generation technology.

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