system

Abstract

We provide the system. [Solution] Means for receiving audio or text input from a generating device, A control device connected via a computer network, which includes a generation device that analyzes the dialogue based on the input and generates a response, An educational support system that assists in the growth of children, comprising a presentation device that provides the generated response to the child in natural language.

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】 Japanese Unexamined Patent Application Publication No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In many modern families, parents are busy due to dual-income families or the like, and the time for sufficient communication with children is limited. Therefore, there is a risk of insufficient development of children's social skills and learning support. In addition, especially for children who have difficulty making friends, children who are truant, and children with developmental disabilities, the lack of a reliable communication partner in place of parents or friends has become an obstacle to growth and learning. 【Means for Solving the Problems】 【0005】 This invention provides an educational support system that receives voice or text input from a generating device, analyzes the dialogue based on the input, and generates a response. By providing the generated response to the child in natural language, this system functions as a virtual conversation partner and supports the child's development. Furthermore, by saving behavioral data and past dialogue history, it can recommend customized content and activities suitable for the child, supporting learning and reducing the burden on parents. 【0006】 A "generation device" is a device or system that can receive and analyze speech or text input and generate a response. 【0007】 A "control device" is a device that is connected to a generation device via a computer network and is responsible for managing the generated response. 【0008】 A "presentation device" is a device that provides children with generated responses in natural language. 【0009】 A "memory device" is a device used to store a child's behavioral data and past conversation history. 【0010】 An "educational support system" is a system that includes a series of devices and programs designed to support children's growth and learning. 【0011】 A "recommendation device" is a device that recommends educational content or activities based on the generated response. [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] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined. 【Mode 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 according to the accompanying drawings. 【0014】 First, the language used in the following description will be explained. 【0015】 In the following embodiments, the 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), and the like. 【0016】 In the following embodiments, the 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, the numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0018】 In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), 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 an educational support system designed to assist in the education and development of children. The system's primary function is to receive voice or text input from a generator, generate appropriate responses, and present them to the child in natural language. It also provides learning support by recommending content suitable for the child based on behavioral data and past dialogue history. 【0034】 The server plays a central role in this system, running an artificial intelligence model that analyzes input data and generates responses. For example, in response to a user's question or the initiation of a dialogue, the server analyzes the content and prepares it to send as appropriate "answer data" to the terminal. The server also selects customized content based on the individual user profile. 【0035】 The device acts as the interface with the user, presenting responses received from the server to the child using speech synthesis technology. It also accepts user input via voice or text. For example, if a user wants to talk about their day, the device displays a voice input screen and provides an interface that allows for easy input via touch. 【0036】 Users can use this system in their daily lives to ask questions about things they want to learn and enjoy conversations at any time. For example, if a user asks a question about a historical figure they are interested in, the server can analyze relevant information and provide an easy-to-understand answer via the device, thus providing an effective learning experience. 【0037】 Thus, the present invention provides an educational experience that users can easily and efficiently utilize through their terminals, based on advanced data analysis and customization functions provided by the server. As a result, it increases user satisfaction and reduces the burden on parents. 【0038】 The following describes the processing flow. 【0039】 Step 1: 【0040】 The device receives user (child) profile information (name, age, interests, etc.) when the application is launched and sends this information to the server. 【0041】 Step 2: 【0042】 The server stores the received profile information in a database and performs data management corresponding to each individual user. 【0043】 Step 3: 【0044】 Users initiate interaction by speaking to the AI ​​agent via voice or text. 【0045】 Step 4: 【0046】 The terminal transmits user input data to the server in real time. 【0047】 Step 5: 【0048】 The server analyzes the received input data using an AI model and generates an appropriate response. In this process, the response content is customized based on past dialogue history and user profiles. 【0049】 Step 6: 【0050】 The server sends the generated response to the terminal and records the analysis results to help with future customizations. 【0051】 Step 7: 【0052】 The terminal uses speech synthesis technology to present the response received from the server to the user. 【0053】 Step 8: 【0054】 Users provide feedback to the agent by asking further questions or selecting different activities in response to the agent's responses. 【0055】 Step 9: 【0056】 The device sends the user's response as feedback data to the server. 【0057】 Step 10: 【0058】 The server analyzes the feedback data, adjusts the AI ​​model, and optimizes the content to prepare for the user's next session. 【0059】 (Example 1) 【0060】 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." 【0061】 To effectively support children's growth and education, flexible and customizable educational experiences tailored to their age and interests are necessary. However, existing systems are inadequately adapted to the individual characteristics and circumstances of each child, failing to maximize educational effectiveness. Furthermore, they struggle to provide a natural and engaging interactive experience without burdening the user. 【0062】 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. 【0063】 In this invention, the server includes a device means for receiving voice or text data, an information processing device means for performing analysis based on the data and generating a response, and a control means for generating a response using a prompt sentence with a generation AI model. This makes it possible to provide customized educational content suited to each child and realize a natural conversational experience. 【0064】 "Voice or text data" refers to voice or text information entered by the user through their device. 【0065】 "Device means" refers to hardware or software components used to perform a specific function. 【0066】 "Information processing device means" refers to a computer or software that analyzes input data and generates necessary information. 【0067】 A "generative AI model" refers to artificial intelligence technology that learns based on given data and automatically generates appropriate responses and information. 【0068】 A "prompt" refers to a form of text input used to instruct a generative AI model on a specific task. 【0069】 "Control means" refers to hardware or software components used to manage and adjust the operation of the entire system. 【0070】 "Output device means" refers to devices or software that present generated information in a form that is understandable to humans. 【0071】 "Adjustment mechanism" refers to a system that optimizes the information and services provided according to the user's characteristics and requirements. 【0072】 "Memory device" refers to hardware or software components used to store data or information. 【0073】 "Recommendation device means" refers to a system that suggests relevant educational content and activities based on the user's profile and past behavior. 【0074】 The educational support system implemented by this invention aims to receive audio or text data and provide educational content tailored to each individual child. 【0075】 The system includes a terminal that enables user interaction. The terminal is equipped with voice and text input devices, providing an environment where users can easily input information. This device incorporates software for converting voice data into digital data. 【0076】 The server analyzes the voice or text data received from the terminal. This analysis is performed by a generative AI model, which uses prompts to generate appropriate responses to user questions and requests. This generative AI model comprises advanced artificial intelligence technology capable of generating natural language responses based on the input. 【0077】 The system incorporates control mechanisms that utilize generative AI models to provide customized information based on user profiles. These profiles are stored in memory and use past interaction history and behavioral data to provide foundational information for delivering more relevant content. 【0078】 The output is presented to the user through an output device provided on the terminal. This device uses speech synthesis technology to provide the generated response in an easy-to-understand format for children, either in audio or video. Furthermore, the information is also displayed visually and presented in a way that is likely to capture children's interest. 【0079】 As a concrete example, consider a scenario where a user requests, "Please give me a simple science quiz." The server can receive this request, use a generative AI model to create a quiz, and present it to the user via voice through the device. An example of a prompt might be, "Please create three simple science quizzes for elementary school students." In this way, the system provides a flexible and interactive educational experience, promoting children's learning. 【0080】 Furthermore, the system continuously collects user feedback and uses it to improve the quality of the content it provides. In this way, it is possible to improve the user's educational experience in a personalized manner. 【0081】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0082】 Step 1: 【0083】 The user provides input via voice or text through the device. For example, if the user asks the device, "Why is the sky blue?", the device accepts the voice input and its built-in software converts the voice data into text data. This converted text data then becomes the input for the next step. 【0084】 Step 2: 【0085】 Data is transmitted from the terminal to the server as voice or text input. The server analyzes the received text data. In this analysis, a generative AI model analyzes the text to understand the user's question and generates the prompt sentence that best suits the user's request. The resulting prompt sentence is then used for the next data processing. 【0086】 Step 3: 【0087】 The server runs a generative AI model using the acquired prompt text. Based on the prompt text, the generative AI model creates the optimal response to the user's question. This response generation process accesses relevant historical data and knowledge bases, combining the necessary information to construct an easy-to-understand explanation for the user. The final generated response data becomes the output for the next step. 【0088】 Step 4: 【0089】 The server sends the generated response to the terminal. The terminal converts the received data into natural-sounding speech using a speech synthesis engine. This allows the user to receive the response in voice. Additionally, if necessary, the output can be displayed on the terminal's screen in text format. 【0090】 Step 5: 【0091】 Users can review the responses presented by their device. If necessary, they can ask additional questions or follow up on questions about other topics. Through this interaction, users can continuously deepen their learning. 【0092】 (Application Example 1) 【0093】 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." 【0094】 In educational support systems designed to assist children's education and development, there is a need for more effective and user-friendly interfaces when providing learning support through dialogue in the home environment. In particular, there is a need for methods that allow children to learn enjoyably and consistently. 【0095】 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. 【0096】 In this invention, the server includes means for receiving input of voice or coded data from a generating device, a control device connected via a computer network including a generating device that analyzes the dialogue based on the input and generates a response, a presentation device that provides the generated response to the child in natural language, and an autonomous robot device that provides learning support to the child at home. This makes it possible to create an environment in which the child can learn naturally at home. 【0097】 A "generation device" is a device that receives audio or coded data as input, processes the information based on it, and analyzes the dialogue. 【0098】 A "computer network" is a network infrastructure in which multiple computer devices are connected via communication lines for the purpose of exchanging information and processing data. 【0099】 A "control device" is a device that receives information from a generating device and has the function of controlling it. It is responsible for appropriately processing the generated response and transmitting it to other devices. 【0100】 A "presentation device" is a device that has the function of providing the user with received information and responses in natural language. 【0101】 An "autonomous robot device" is a robot that operates independently within a home and has the ability to act based on given instructions. 【0102】 This invention relates to an educational support system designed to assist in the education and development of children within the home. The system includes means for receiving audio or coded data input from a generating device, and a server that analyzes the input and generates a response. The generated response is provided to the child in natural language via a presentation device. For example, a smartphone or speaker can be used as the presentation device. 【0103】 In this system, the control unit is responsible for processing the data input from the generation unit. The control unit is connected to each terminal via a computer network and uses a generative AI model to create answers based on children's questions and requests. As the AI ​​model, an open-source AI framework that demonstrates excellent performance in natural language processing can be used. 【0104】 The autonomous robotic device provides direct learning support within the home. The robot receives voice input and outputs responses generated by a generative AI model using speech synthesis technology, thereby stimulating children's curiosity and increasing their motivation to learn. 【0105】 For example, if a child asks the robot, "Tell me about dinosaurs," the server will analyze the question and provide historical information and various facts about dinosaurs. This makes it possible to create an environment where children can learn in a fun way. 【0106】 Examples of prompts used when utilizing generative AI models include the following: 【0107】 "As a knowledgeable robot for children, please explain the question 'Types of Dinosaurs' in an easy-to-understand way." 【0108】 Thus, this invention aims to naturally support learning within the home and help children maintain their interest. 【0109】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0110】 Step 1: 【0111】 The user inputs the question by voice. The voice input is captured through the device's microphone and converted into text data using speech recognition technology. The input consists of the user's spoken words. The output is the question data in text format. 【0112】 Step 2: 【0113】 The terminal sends text data to the server via a generation device. The server analyzes the received text data and inputs it into a generating AI model. The AI ​​model performs data calculations based on the input text data. The output is the generation of a response appropriate to the user's question. 【0114】 Step 3: 【0115】 The server uses a generative AI model to generate a response based on a prompt. This prompt indicates the context and target content of the response. The input consists of the user's question text and the prompt. The output is the text data of the generated response. 【0116】 Step 4: 【0117】 The generated response is sent from the server to the terminal. The terminal uses speech synthesis technology to convert this text data into speech. The input is the generated response text data, and the output is the response in speech format. The terminal provides conversational content by presenting this speech to the user. 【0118】 Step 5: 【0119】 The user listens to the provided voice response and can ask further questions or continue the conversation. This cycle continues until the user is satisfied. User input triggers a new step in the next step (step 1). 【0120】 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. 【0121】 This invention provides a system that offers a more personalized educational experience by combining an emotion engine with an educational support system. The system aims to recognize emotions from a child's voice and facial expressions, use that information to adjust dialogue responses, and recommend appropriate educational content. 【0122】 The server analyzes audio and video data transmitted from the terminal by executing audio and image analysis algorithms to identify the user's emotions. This emotion data influences the response generated by the generator. Specifically, it adjusts the tone and content of the response, making it more lively if the user is excited, or quieter if the user is calm. 【0123】 The device acquires audio and video input from the user and sends it to the server in real time so that the emotion engine can analyze it. It also receives a pre-processed response from the server and provides it to the user using speech synthesis technology. This entire process enables more natural and effective two-way communication. 【0124】 Through this system, users can pursue their daily learning and interests. For example, if a user is feeling stressed about a subject they struggle with, the server uses an emotion engine to recognize this and assists them in their learning by providing relaxing music and easy-to-understand explanations. 【0125】 Such implementations enrich children's learning environments and make educational support more flexible and responsive. As a result, parents can feel more at ease watching their children grow. By utilizing real-time emotion recognition through an emotion engine, it becomes possible to provide more advanced and personalized education. 【0126】 The following describes the processing flow. 【0127】 Step 1: 【0128】 The device prepares to acquire the user's voice or video in real time and send it to the server. 【0129】 Step 2: 【0130】 Users can initiate interaction by speaking to the system or pointing their facial expressions towards the device's camera. 【0131】 Step 3: 【0132】 The device sends the acquired audio and video data to the server, prompting analysis by the emotion engine. 【0133】 Step 4: 【0134】 The server analyzes audio and video data using an emotion engine to identify the user's emotional state (joy, sadness, excitement, etc.). 【0135】 Step 5: 【0136】 The server, based on the analysis results from the emotion engine, instructs the generator to adjust the tone and content when producing responses. 【0137】 Step 6: 【0138】 The server generates a coordinated response using a generator and sends it to the terminal. 【0139】 Step 7: 【0140】 The terminal receives a pre-arranged response from the server and presents it to the user using speech synthesis technology that takes the user's emotions into particular. 【0141】 Step 8: 【0142】 After receiving a response, users can engage in further interactions tailored to their interests and circumstances. 【0143】 Step 9: 【0144】 The device then sends the user's response back to the server, continuously recording it as feedback on their emotional state. 【0145】 Step 10: 【0146】 The server uses feedback data to recommend educational content and to adjust the model to improve the user experience in the future. 【0147】 (Example 2) 【0148】 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 will be referred to as the "terminal." 【0149】 In today's educational environment, there is a need to provide flexible educational support that is tailored to each child's emotional state and learning progress. However, traditional educational systems often provide standardized educational content, making it difficult to realize an educational style optimized for each individual child. Therefore, a system is needed that can appropriately recognize each child's emotions and provide dialogue and educational content based on those emotions. 【0150】 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. 【0151】 In this invention, the server includes means for receiving audio or video information from a device for acquiring input information, analysis means for analyzing the information and identifying emotions, and an information processing device including a generation device for generating dialogue responses based on emotions. This makes it possible to provide optimal dialogue responses and educational content tailored to the emotional state of each child. 【0152】 A "device for acquiring input information" is a device that acquires audio or video information from the user and transmits it to the next processing stage. 【0153】 "Audio or video information" refers to audio and visual data that the user provides to the interface via their device. 【0154】 "Analysis means" refers to a set of algorithms or programs for processing received information and identifying the user's emotional state. 【0155】 "Identifying emotions" is the process of qualitatively or quantitatively determining a user's current emotional state based on data analyzed by analytical tools. 【0156】 An "information processing device including a generation device" is a computer system that includes a processor and related software for generating appropriate dialogue responses based on the results of emotion analysis. 【0157】 "Means of providing in natural language" refers to system components that have the function of presenting generated dialogue responses in a format that is easy for the user to understand, i.e., in natural language. 【0158】 "Voice conversion means" refers to a technology or device that synthesizes a text-based response and transmits it to the user through voice output. 【0159】 A "memory device" is a storage device that holds emotional data and past conversation history, and stores them for later reference. 【0160】 A "recommendation tool" is an algorithm or system component used to present learning content or activities suitable for the user based on analysis results and past data. 【0161】 This invention is an emotion recognition system that enables personalized educational support. This system consists of three elements: a terminal, a server, and a user, each playing a specific role in its function. 【0162】 First, the device acquires audio and video provided by the user. Audio data is converted to a format such as ".wav" using the microphone, and video data is captured frame by frame by the camera. The device sends this data to the server in real time. This data transmission is carried out using a secure communication protocol, thus ensuring data protection. 【0163】 Next, the server processes the received audio and video data. For audio analysis, the server uses speech recognition software (typically a commercially available speech recognition program) to determine the user's emotions from their voice. For video data, it uses an image processing library to analyze facial expressions and identify the user's emotions. This emotion data is input into a generative AI model, which uses the appropriate prompt to generate a response. For example, the prompt "The user seems happy. Please create a response with an energetic tone." might be used. 【0164】 The generated response is sent from the server to the terminal, which then uses speech synthesis technology to convert the text into speech. Commercially available speech synthesis software is used for this purpose. The converted speech is then delivered to the user naturally through the terminal's speaker. 【0165】 This allows users to progress through their learning experience. The system flexibly adapts its responses based on the user's emotional state, allowing users to learn with confidence. For example, if a user is facing a difficult problem, the system provides learning support by offering relaxing music or simplified explanations. This two-way communication makes educational support effective, flexible, and responsive. 【0166】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0167】 Step 1: 【0168】 The device acquires the user's voice and video. It uses a microphone to capture the user's voice as audio data and a camera to collect video data frame by frame. This data is then prepared for transmission to a server in real time. The input is the user's voice and video, and the output is the data sent to the server. 【0169】 Step 2: 【0170】 The device converts the acquired audio data to ".wav" format and saves the video data frame by frame. It then sends both sets of data to the server using a secure protocol such as HTTPS. The input is raw audio and video data, while the output is formatted audio and video data. 【0171】 Step 3: 【0172】 The server analyzes the transmitted audio data using speech recognition software to estimate the user's emotions based on their tone of voice and speech content. The input is ".wav" audio data sent from the terminal, and the output is the estimated emotion data. 【0173】 Step 4: 【0174】 The server uses a video analysis library to analyze video data frame by frame and identifies emotions based on the user's facial expressions. The input is video data for each frame, and the output is the identified emotion data. 【0175】 Step 5: 【0176】 The server generates appropriate dialogue responses using a generative AI model based on the sentiment analysis results. Prompt sentences are selected according to the sentiment, and responses are generated accordingly. An example prompt sentence is, "The user seems happy. Please create a response with an energetic tone." The input is the sentiment analysis results and the prompt sentence, and the output is the generated text response. 【0177】 Step 6: 【0178】 The server sends the generated text response to the terminal. The input is the generated text response, and the output is the data sent to the terminal. 【0179】 Step 7: 【0180】 The terminal converts received text responses into speech using speech synthesis technology and transmits them to the user through a speaker. Commercially available synthesis software is used for speech synthesis. The input is the text response, and the output is the synthesized speech that the user hears. 【0181】 (Application Example 2) 【0182】 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". 【0183】 In today's educational environment, there is a challenge in providing highly individualized learning support that responds to the emotions and interests of each child. Traditional education systems struggle to appropriately grasp children's instantaneous emotional changes and flexibly adjust educational content based on that information, thus hindering improvements in learning efficiency. 【0184】 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. 【0185】 In this invention, the server includes means for receiving input signals, a computing device for analyzing emotional information based on the input signals and generating response information, a display device for providing the generated response information to the child in natural language, and a teaching material supply device for providing educational information optimized based on the child's emotional information. This enables learning support that is tailored to the individual emotions of each child. 【0186】 "Input signal" refers to data such as audio and video acquired from the user. 【0187】 "Emotional information" refers to information that indicates a child's emotional state, analyzed from their facial expressions, tone of voice, and other similar data. 【0188】 "Response information" refers to information about dialogue content and educational content generated based on a child's emotional information. 【0189】 A "processing unit" refers to a computer device that analyzes input signals and generates emotional information. 【0190】 A "display device" is a device that presents generated response information to the user visually or audibly. 【0191】 A "teaching material supply device" is a device that provides children with personalized educational information based on emotional information. 【0192】 This invention is an educational support system that personalizes children's learning experiences using an emotion engine. The server receives input signals and operates an emotion recognition engine to analyze the user's facial expressions and voice derived from those signals. This engine utilizes advanced speech and image analysis algorithms to generate emotional information and leverages a generative AI model to generate optimal response information. 【0193】 The terminal has the function of transmitting audio and video acquired from the user to the server in real time. The response information generated by the server is provided to the user using speech synthesis technology. A display device such as a smartphone is used to present the information visually or audibly. Based on this interaction, the server controls the educational material supply device and provides educational content optimized based on emotional information. 【0194】 One concrete example is a scenario where a child interacts with a robot via a smartphone. When the child is struggling with a math problem, the robot analyzes the child's emotions from their tone of voice and facial expressions, and suggests relaxing music and a simple video tutorial. The generative AI model used in this process operates in the form of prompts such as, "Robot, please understand the child's situation and provide appropriate content." 【0195】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0196】 Step 1: 【0197】 The device records and captures the user's voice and video, acquiring them as input data. This input data is transmitted to the server in real time. This transmission is usually done via a wireless network. 【0198】 Step 2: 【0199】 The server inputs the received audio and video data into the emotion recognition engine. The engine identifies emotions from the audio and extracts emotional information from the video using a facial expression analysis algorithm. This outputs the user's emotions as data. This result is then ready to be passed to the generative AI model. 【0200】 Step 3: 【0201】 The generating AI model receives emotional information as input, along with the prompt "The robot should understand the child's situation and provide appropriate content." Based on the input emotional information, the model generates optimal response information. This response information includes voice tone and suggested educational content. 【0202】 Step 4: 【0203】 The server returns the generated response information to the terminal. At this time, the response information is processed using speech synthesis technology to present it appropriately to the user. As a result, the user can receive responses in a natural conversational format. 【0204】 Step 5: 【0205】 Users progress through their learning based on the response information presented. During this process, educational content is visualized on the device's display and audibly presented as audio. This entire process personalizes the user's learning experience. 【0206】 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. 【0207】 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. 【0208】 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. 【0209】 [Second Embodiment] 【0210】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0211】 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. 【0212】 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). 【0213】 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. 【0214】 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. 【0215】 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). 【0216】 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. 【0217】 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. 【0218】 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. 【0219】 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. 【0220】 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. 【0221】 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". 【0222】 This invention is an educational support system designed to assist in the education and development of children. The system's primary function is to receive voice or text input from a generator, generate appropriate responses, and present them to the child in natural language. It also provides learning support by recommending content suitable for the child based on behavioral data and past dialogue history. 【0223】 The server plays a central role in this system, running an artificial intelligence model that analyzes input data and generates responses. For example, in response to a user's question or the initiation of a dialogue, the server analyzes the content and prepares it to send as appropriate "answer data" to the terminal. The server also selects customized content based on the individual user profile. 【0224】 The device acts as the interface with the user, presenting responses received from the server to the child using speech synthesis technology. It also accepts user input via voice or text. For example, if a user wants to talk about their day, the device displays a voice input screen and provides an interface that allows for easy input via touch. 【0225】 Users can use this system in their daily lives to ask questions about things they want to learn and enjoy conversations at any time. For example, if a user asks a question about a historical figure they are interested in, the server can analyze relevant information and provide an easy-to-understand answer via the device, thus providing an effective learning experience. 【0226】 Thus, the present invention provides an educational experience that users can easily and efficiently utilize through their terminals, based on advanced data analysis and customization functions provided by the server. As a result, it increases user satisfaction and reduces the burden on parents. 【0227】 The following describes the processing flow. 【0228】 Step 1: 【0229】 The device receives user (child) profile information (name, age, interests, etc.) when the application is launched and sends this information to the server. 【0230】 Step 2: 【0231】 The server stores the received profile information in a database and performs data management corresponding to each individual user. 【0232】 Step 3: 【0233】 Users initiate interaction by speaking to the AI ​​agent via voice or text. 【0234】 Step 4: 【0235】 The terminal transmits user input data to the server in real time. 【0236】 Step 5: 【0237】 The server analyzes the received input data using an AI model and generates an appropriate response. In this process, the response content is customized based on past dialogue history and user profiles. 【0238】 Step 6: 【0239】 The server sends the generated response to the terminal and records the analysis results to help with future customizations. 【0240】 Step 7: 【0241】 The terminal uses speech synthesis technology to present the response received from the server to the user. 【0242】 Step 8: 【0243】 Users provide feedback to the agent by asking further questions or selecting different activities in response to the agent's responses. 【0244】 Step 9: 【0245】 The device sends the user's response as feedback data to the server. 【0246】 Step 10: 【0247】 The server analyzes the feedback data, adjusts the AI ​​model, and optimizes the content to prepare for the user's next session. 【0248】 (Example 1) 【0249】 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." 【0250】 To effectively support children's growth and education, flexible and customizable educational experiences tailored to their age and interests are necessary. However, existing systems are inadequately adapted to the individual characteristics and circumstances of each child, failing to maximize educational effectiveness. Furthermore, they struggle to provide a natural and engaging interactive experience without burdening the user. 【0251】 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. 【0252】 In this invention, the server includes a device means for receiving voice or text data, an information processing device means for performing analysis based on the data and generating a response, and a control means for generating a response using a prompt sentence with a generation AI model. This makes it possible to provide customized educational content suited to each child and realize a natural conversational experience. 【0253】 "Voice or text data" refers to voice or text information entered by the user through their device. 【0254】 "Device means" refers to hardware or software components used to perform a specific function. 【0255】 "Information processing device means" refers to a computer or software that analyzes input data and generates necessary information. 【0256】 A "generative AI model" refers to artificial intelligence technology that learns based on given data and automatically generates appropriate responses and information. 【0257】 A "prompt" refers to a form of text input used to instruct a generative AI model on a specific task. 【0258】 "Control means" refers to hardware or software components used to manage and adjust the operation of the entire system. 【0259】 "Output device means" refers to devices or software that present generated information in a form that is understandable to humans. 【0260】 "Adjustment mechanism" refers to a system that optimizes the information and services provided according to the user's characteristics and requirements. 【0261】 "Memory device" refers to hardware or software components used to store data or information. 【0262】 "Recommendation device means" refers to a system that suggests relevant educational content and activities based on the user's profile and past behavior. 【0263】 The educational support system implemented by this invention aims to receive audio or text data and provide educational content tailored to each individual child. 【0264】 The system includes a terminal that enables user interaction. The terminal is equipped with voice and text input devices, providing an environment where users can easily input information. This device incorporates software for converting voice data into digital data. 【0265】 The server analyzes the voice or text data received from the terminal. This analysis is performed by a generative AI model, which uses prompts to generate appropriate responses to user questions and requests. This generative AI model comprises advanced artificial intelligence technology capable of generating natural language responses based on the input. 【0266】 The system incorporates control mechanisms that utilize generative AI models to provide customized information based on user profiles. These profiles are stored in memory and use past interaction history and behavioral data to provide foundational information for delivering more relevant content. 【0267】 The output is presented to the user through an output device provided on the terminal. This device uses speech synthesis technology to provide the generated response in an easy-to-understand format for children, either in audio or video. Furthermore, the information is also displayed visually and presented in a way that is likely to capture children's interest. 【0268】 As a concrete example, consider a scenario where a user requests, "Please give me a simple science quiz." The server can receive this request, use a generative AI model to create a quiz, and present it to the user via voice through the device. An example of a prompt might be, "Please create three simple science quizzes for elementary school students." In this way, the system provides a flexible and interactive educational experience, promoting children's learning. 【0269】 Furthermore, the system continuously collects user feedback and uses it to improve the quality of the content it provides. In this way, it is possible to improve the user's educational experience in a personalized manner. 【0270】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0271】 Step 1: 【0272】 The user provides input via voice or text through the device. For example, if the user asks the device, "Why is the sky blue?", the device accepts the voice input and its built-in software converts the voice data into text data. This converted text data then becomes the input for the next step. 【0273】 Step 2: 【0274】 Data is transmitted from the terminal to the server as voice or text input. The server analyzes the received text data. In this analysis, a generative AI model analyzes the text to understand the user's question and generates the prompt sentence that best suits the user's request. The resulting prompt sentence is then used for the next data processing. 【0275】 Step 3: 【0276】 The server runs a generative AI model using the acquired prompt text. Based on the prompt text, the generative AI model creates the optimal response to the user's question. This response generation process accesses relevant historical data and knowledge bases, combining the necessary information to construct an easy-to-understand explanation for the user. The final generated response data becomes the output for the next step. 【0277】 Step 4: 【0278】 The server sends the generated response to the terminal. The terminal converts the received data into natural-sounding speech using a speech synthesis engine. This allows the user to receive the response in voice. Additionally, if necessary, the output can be displayed on the terminal's screen in text format. 【0279】 Step 5: 【0280】 The user can check the responses presented from the terminal. If necessary, the user can further ask additional questions or continue to ask questions about other topics. Through this interaction, the user can continuously deepen their learning. 【0281】 (Application Example 1) 【0282】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal". 【0283】 In an educational support system for supporting children's education and growth, when providing learning support through interaction in a home environment, there is a need for means to provide a more effective and friendly interface. In particular, a method that allows children to learn continuously and enjoyably is required. 【0284】 The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0285】 In this invention, the server includes means for receiving an input of voice or encoded data from a generation device, a control device connected via a computer network including a generation device that analyzes a dialogue based on the input and generates a response, a presentation device for providing the generated response to the child in natural language, and an autonomous robot device for providing learning support to the child within the home. This enables an environment where children can learn naturally within the home. 【0286】 The "generation device" is a device that has the function of receiving an input of voice or encoded data, processing information based on it, and analyzing a dialogue. 【0287】 The "computer network" is a network infrastructure in which a plurality of computer devices are connected through communication lines for information exchange and data processing. 【0288】 A "control device" is a device that receives information from a generating device and has the function of controlling it. It is responsible for appropriately processing the generated response and transmitting it to other devices. 【0289】 A "presentation device" is a device that has the function of providing the user with received information and responses in natural language. 【0290】 An "autonomous robot device" is a robot that operates independently within a home and has the ability to act based on given instructions. 【0291】 This invention relates to an educational support system designed to assist in the education and development of children within the home. The system includes means for receiving audio or coded data input from a generating device, and a server that analyzes the input and generates a response. The generated response is provided to the child in natural language via a presentation device. For example, a smartphone or speaker can be used as the presentation device. 【0292】 In this system, the control unit is responsible for processing the data input from the generation unit. The control unit is connected to each terminal via a computer network and uses a generative AI model to create answers based on children's questions and requests. As the AI ​​model, an open-source AI framework that demonstrates excellent performance in natural language processing can be used. 【0293】 The autonomous robotic device provides direct learning support within the home. The robot receives voice input and outputs responses generated by a generative AI model using speech synthesis technology, thereby stimulating children's curiosity and increasing their motivation to learn. 【0294】 For example, if a child asks the robot, "Tell me about dinosaurs," the server will analyze the question and provide historical information and various facts about dinosaurs. This makes it possible to create an environment where children can learn in a fun way. 【0295】 Examples of prompts used when utilizing generative AI models include the following: 【0296】 "As a knowledgeable robot for children, please explain the question 'Types of Dinosaurs' in an easy-to-understand way." 【0297】 Thus, this invention aims to naturally support learning within the home and help children maintain their interest. 【0298】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0299】 Step 1: 【0300】 The user inputs the question by voice. The voice input is captured through the device's microphone and converted into text data using speech recognition technology. The input consists of the user's spoken words. The output is the question data in text format. 【0301】 Step 2: 【0302】 The terminal sends text data to the server via a generation device. The server analyzes the received text data and inputs it into a generating AI model. The AI ​​model performs data calculations based on the input text data. The output is the generation of a response appropriate to the user's question. 【0303】 Step 3: 【0304】 The server uses a generative AI model to generate a response based on a prompt. This prompt indicates the context and target content of the response. The input consists of the user's question text and the prompt. The output is the text data of the generated response. 【0305】 Step 4: 【0306】 The generated response is sent from the server to the terminal. The terminal uses speech synthesis technology to convert this text data into speech. The input is the text data of the generated response, and the output is the response in audio format. The terminal provides interactive content by presenting this audio to the user. 【0307】 Step 5: 【0308】 The user listens to the presented voice response and can continue with further questions or conversations. This cycle continues until the user is satisfied. The user's input serves as a new trigger for the next Step 1. 【0309】 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. 【0310】 The present invention is a system that provides a more individualized educational experience by combining an emotion engine with an educational support system. This system aims to recognize emotions from a child's voice and expression, adjust the response of the dialogue using that information, and recommend appropriate educational content. 【0311】 The server analyzes the voice and video data transmitted from the terminal by executing voice and image analysis algorithms to identify the user's emotion. This emotion data affects the response generated by the generation device. Specifically, when the user is excited, the tone of the response is made lively, and when the user is calm, the tone is made quiet, etc., to adjust the tone and content of the response. 【0312】 The terminal acquires the voice and video input from the user and transmits it to the server in real time so that the emotion engine can analyze it. Also, it receives the adjusted response from the server and provides it to the user using speech synthesis technology. Through this series of operations, two-way communication is carried out more naturally and effectively. 【0313】 Through this system, users can pursue their daily learning and interests. For example, if a user is feeling stressed about a subject they struggle with, the server uses an emotion engine to recognize this and assists them in their learning by providing relaxing music and easy-to-understand explanations. 【0314】 Such implementations enrich children's learning environments and make educational support more flexible and responsive. As a result, parents can feel more at ease watching their children grow. By utilizing real-time emotion recognition through an emotion engine, it becomes possible to provide more advanced and personalized education. 【0315】 The following describes the processing flow. 【0316】 Step 1: 【0317】 The device prepares to acquire the user's voice or video in real time and send it to the server. 【0318】 Step 2: 【0319】 Users can initiate interaction by speaking to the system or pointing their facial expressions towards the device's camera. 【0320】 Step 3: 【0321】 The device sends the acquired audio and video data to the server, prompting analysis by the emotion engine. 【0322】 Step 4: 【0323】 The server analyzes audio and video data using an emotion engine to identify the user's emotional state (joy, sadness, excitement, etc.). 【0324】 Step 5: 【0325】 The server, based on the analysis results from the emotion engine, instructs the generator to adjust the tone and content when producing responses. 【0326】 Step 6: 【0327】 The server generates a coordinated response using a generator and sends it to the terminal. 【0328】 Step 7: 【0329】 The terminal receives a pre-arranged response from the server and presents it to the user using speech synthesis technology that takes the user's emotions into particular. 【0330】 Step 8: 【0331】 After receiving a response, users can engage in further interactions tailored to their interests and circumstances. 【0332】 Step 9: 【0333】 The device then sends the user's response back to the server, continuously recording it as feedback on their emotional state. 【0334】 Step 10: 【0335】 The server uses feedback data to recommend educational content and to adjust the model to improve the user experience in the future. 【0336】 (Example 2) 【0337】 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". 【0338】 In today's educational environment, there is a need to provide flexible educational support that is tailored to each child's emotional state and learning progress. However, traditional educational systems often provide standardized educational content, making it difficult to realize an educational style optimized for each individual child. Therefore, a system is needed that can appropriately recognize each child's emotions and provide dialogue and educational content based on those emotions. 【0339】 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. 【0340】 In this invention, the server includes means for receiving audio or video information from a device for acquiring input information, analysis means for analyzing the information and identifying emotions, and an information processing device including a generation device for generating dialogue responses based on emotions. This makes it possible to provide optimal dialogue responses and educational content tailored to the emotional state of each child. 【0341】 A "device for acquiring input information" is a device that acquires audio or video information from the user and transmits it to the next processing stage. 【0342】 "Audio or video information" refers to audio and visual data that the user provides to the interface via their device. 【0343】 "Analysis means" refers to a set of algorithms or programs for processing received information and identifying the user's emotional state. 【0344】 "Identifying emotions" is the process of qualitatively or quantitatively determining a user's current emotional state based on data analyzed by analytical tools. 【0345】 An "information processing device including a generation device" is a computer system that includes a processor and related software for generating appropriate dialogue responses based on the results of emotion analysis. 【0346】 "Means of providing in natural language" refers to system components that have the function of presenting generated dialogue responses in a format that is easy for the user to understand, i.e., in natural language. 【0347】 "Voice conversion means" refers to a technology or device that synthesizes a text-based response and transmits it to the user through voice output. 【0348】 A "memory device" is a storage device that holds emotional data and past conversation history, and stores them for later reference. 【0349】 A "recommendation tool" is an algorithm or system component used to present learning content or activities suitable for the user based on analysis results and past data. 【0350】 This invention is an emotion recognition system that enables personalized educational support. This system consists of three elements: a terminal, a server, and a user, each playing a specific role in its function. 【0351】 First, the device acquires audio and video provided by the user. Audio data is converted to a format such as ".wav" using the microphone, and video data is captured frame by frame by the camera. The device sends this data to the server in real time. This data transmission is carried out using a secure communication protocol, thus ensuring data protection. 【0352】 Next, the server processes the received audio and video data. For audio analysis, the server uses speech recognition software (typically a commercially available speech recognition program) to determine the user's emotions from their voice. For video data, it uses an image processing library to analyze facial expressions and identify the user's emotions. This emotion data is input into a generative AI model, which uses the appropriate prompt to generate a response. For example, the prompt "The user seems happy. Please create a response with an energetic tone." might be used. 【0353】 The generated response is sent from the server to the terminal, which then uses speech synthesis technology to convert the text into speech. Commercially available speech synthesis software is used for this purpose. The converted speech is then delivered to the user naturally through the terminal's speaker. 【0354】 This allows users to progress through their learning experience. The system flexibly adapts its responses based on the user's emotional state, allowing users to learn with confidence. For example, if a user is facing a difficult problem, the system provides learning support by offering relaxing music or simplified explanations. This two-way communication makes educational support effective, flexible, and responsive. 【0355】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0356】 Step 1: 【0357】 The device acquires the user's voice and video. It uses a microphone to capture the user's voice as audio data and a camera to collect video data frame by frame. This data is then prepared for transmission to a server in real time. The input is the user's voice and video, and the output is the data sent to the server. 【0358】 Step 2: 【0359】 The device converts the acquired audio data to ".wav" format and saves the video data frame by frame. It then sends both sets of data to the server using a secure protocol such as HTTPS. The input is raw audio and video data, while the output is formatted audio and video data. 【0360】 Step 3: 【0361】 The server analyzes the transmitted audio data using speech recognition software to estimate the user's emotions based on their tone of voice and speech content. The input is ".wav" audio data sent from the terminal, and the output is the estimated emotion data. 【0362】 Step 4: 【0363】 The server uses a video analysis library to analyze video data frame by frame and identifies emotions based on the user's facial expressions. The input is video data for each frame, and the output is the identified emotion data. 【0364】 Step 5: 【0365】 The server generates appropriate dialogue responses using a generative AI model based on the sentiment analysis results. Prompt sentences are selected according to the sentiment, and responses are generated accordingly. An example prompt sentence is, "The user seems happy. Please create a response with an energetic tone." The input is the sentiment analysis results and the prompt sentence, and the output is the generated text response. 【0366】 Step 6: 【0367】 The server sends the generated text response to the terminal. The input is the generated text response, and the output is the data sent to the terminal. 【0368】 Step 7: 【0369】 The terminal converts received text responses into speech using speech synthesis technology and transmits them to the user through a speaker. Commercially available synthesis software is used for speech synthesis. The input is the text response, and the output is the synthesized speech that the user hears. 【0370】 (Application Example 2) 【0371】 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." 【0372】 In today's educational environment, there is a challenge in providing highly individualized learning support that responds to the emotions and interests of each child. Traditional education systems struggle to appropriately grasp children's instantaneous emotional changes and flexibly adjust educational content based on that information, thus hindering improvements in learning efficiency. 【0373】 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. 【0374】 In this invention, the server includes means for receiving input signals, a computing device for analyzing emotional information based on the input signals and generating response information, a display device for providing the generated response information to the child in natural language, and a teaching material supply device for providing educational information optimized based on the child's emotional information. This enables learning support that is tailored to the individual emotions of each child. 【0375】 "Input signal" refers to data such as audio and video acquired from the user. 【0376】 "Emotional information" refers to information that indicates a child's emotional state, analyzed from their facial expressions, tone of voice, and other similar data. 【0377】 "Response information" refers to information about dialogue content and educational content generated based on a child's emotional information. 【0378】 A "processing unit" refers to a computer device that analyzes input signals and generates emotional information. 【0379】 A "display device" is a device that presents generated response information to the user visually or audibly. 【0380】 A "teaching material supply device" is a device that provides children with personalized educational information based on emotional information. 【0381】 This invention is an educational support system that personalizes children's learning experiences using an emotion engine. The server receives input signals and operates an emotion recognition engine to analyze the user's facial expressions and voice derived from those signals. This engine utilizes advanced speech and image analysis algorithms to generate emotional information and leverages a generative AI model to generate optimal response information. 【0382】 The terminal has the function of transmitting audio and video acquired from the user to the server in real time. The response information generated by the server is provided to the user using speech synthesis technology. A display device such as a smartphone is used to present the information visually or audibly. Based on this interaction, the server controls the educational material supply device and provides educational content optimized based on emotional information. 【0383】 One concrete example is a scenario where a child interacts with a robot via a smartphone. When the child is struggling with a math problem, the robot analyzes the child's emotions from their tone of voice and facial expressions, and suggests relaxing music and a simple video tutorial. The generative AI model used in this process operates in the form of prompts such as, "Robot, please understand the child's situation and provide appropriate content." 【0384】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0385】 Step 1: 【0386】 The device records and captures the user's voice and video, acquiring them as input data. This input data is transmitted to the server in real time. This transmission is usually done via a wireless network. 【0387】 Step 2: 【0388】 The server inputs the received audio and video data into the emotion recognition engine. The engine identifies emotions from the audio and extracts emotional information from the video using a facial expression analysis algorithm. This outputs the user's emotions as data. This result is then ready to be passed to the generative AI model. 【0389】 Step 3: 【0390】 The generating AI model receives emotional information as input, along with the prompt "The robot should understand the child's situation and provide appropriate content." Based on the input emotional information, the model generates optimal response information. This response information includes voice tone and suggested educational content. 【0391】 Step 4: 【0392】 The server returns the generated response information to the terminal. At this time, the response information is processed using speech synthesis technology to present it appropriately to the user. As a result, the user can receive responses in a natural conversational format. 【0393】 Step 5: 【0394】 Users progress through their learning based on the response information presented. During this process, educational content is visualized on the device's display and audibly presented as audio. This entire process personalizes the user's learning experience. 【0395】 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. 【0396】 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. 【0397】 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. 【0398】 [Third Embodiment] 【0399】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0400】 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. 【0401】 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). 【0402】 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. 【0403】 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. 【0404】 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). 【0405】 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. 【0406】 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. 【0407】 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. 【0408】 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. 【0409】 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. 【0410】 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". 【0411】 This invention is an educational support system designed to assist in the education and development of children. The system's primary function is to receive voice or text input from a generator, generate appropriate responses, and present them to the child in natural language. It also provides learning support by recommending content suitable for the child based on behavioral data and past dialogue history. 【0412】 The server plays a central role in this system, running an artificial intelligence model that analyzes input data and generates responses. For example, in response to a user's question or the initiation of a dialogue, the server analyzes the content and prepares it to send as appropriate "answer data" to the terminal. The server also selects customized content based on the individual user profile. 【0413】 The device acts as the interface with the user, presenting responses received from the server to the child using speech synthesis technology. It also accepts user input via voice or text. For example, if a user wants to talk about their day, the device displays a voice input screen and provides an interface that allows for easy input via touch. 【0414】 Users can use this system in their daily lives to ask questions about things they want to learn and enjoy conversations at any time. For example, if a user asks a question about a historical figure they are interested in, the server can analyze relevant information and provide an easy-to-understand answer via the device, thus providing an effective learning experience. 【0415】 Thus, the present invention provides an educational experience that users can easily and efficiently utilize through their terminals, based on advanced data analysis and customization functions provided by the server. As a result, it increases user satisfaction and reduces the burden on parents. 【0416】 The following describes the processing flow. 【0417】 Step 1: 【0418】 The device receives user (child) profile information (name, age, interests, etc.) when the application is launched and sends this information to the server. 【0419】 Step 2: 【0420】 The server stores the received profile information in a database and performs data management corresponding to each individual user. 【0421】 Step 3: 【0422】 Users initiate interaction by speaking to the AI ​​agent via voice or text. 【0423】 Step 4: 【0424】 The terminal transmits user input data to the server in real time. 【0425】 Step 5: 【0426】 The server analyzes the received input data using an AI model and generates an appropriate response. In this process, the response content is customized based on past dialogue history and user profiles. 【0427】 Step 6: 【0428】 The server sends the generated response to the terminal and records the analysis results to help with future customizations. 【0429】 Step 7: 【0430】 The terminal uses speech synthesis technology to present the response received from the server to the user. 【0431】 Step 8: 【0432】 Users provide feedback to the agent by asking further questions or selecting different activities in response to the agent's responses. 【0433】 Step 9: 【0434】 The device sends the user's response as feedback data to the server. 【0435】 Step 10: 【0436】 The server analyzes the feedback data, adjusts the AI ​​model, and optimizes the content to prepare for the user's next session. 【0437】 (Example 1) 【0438】 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." 【0439】 To effectively support children's growth and education, flexible and customizable educational experiences tailored to their age and interests are necessary. However, existing systems are inadequately adapted to the individual characteristics and circumstances of each child, failing to maximize educational effectiveness. Furthermore, they struggle to provide a natural and engaging interactive experience without burdening the user. 【0440】 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. 【0441】 In this invention, the server includes a device means for receiving voice or text data, an information processing device means for performing analysis based on the data and generating a response, and a control means for generating a response using a prompt sentence with a generation AI model. This makes it possible to provide customized educational content suited to each child and realize a natural conversational experience. 【0442】 "Voice or text data" refers to voice or text information entered by the user through their device. 【0443】 "Device means" refers to hardware or software components used to perform a specific function. 【0444】 "Information processing device means" refers to a computer or software that analyzes input data and generates necessary information. 【0445】 A "generative AI model" refers to artificial intelligence technology that learns based on given data and automatically generates appropriate responses and information. 【0446】 A "prompt" refers to a form of text input used to instruct a generative AI model on a specific task. 【0447】 "Control means" refers to hardware or software components used to manage and adjust the operation of the entire system. 【0448】 "Output device means" refers to devices or software that present generated information in a form that is understandable to humans. 【0449】 "Adjustment mechanism" refers to a system that optimizes the information and services provided according to the user's characteristics and requirements. 【0450】 "Memory device" refers to hardware or software components used to store data or information. 【0451】 "Recommendation device means" refers to a system that suggests relevant educational content and activities based on the user's profile and past behavior. 【0452】 The educational support system implemented by this invention aims to receive audio or text data and provide educational content tailored to each individual child. 【0453】 The system includes a terminal that enables user interaction. The terminal is equipped with voice and text input devices, providing an environment where users can easily input information. This device incorporates software for converting voice data into digital data. 【0454】 The server analyzes the voice or text data received from the terminal. This analysis is performed by a generative AI model, which uses prompts to generate appropriate responses to user questions and requests. This generative AI model comprises advanced artificial intelligence technology capable of generating natural language responses based on the input. 【0455】 The system incorporates control mechanisms that utilize generative AI models to provide customized information based on user profiles. These profiles are stored in memory and use past interaction history and behavioral data to provide foundational information for delivering more relevant content. 【0456】 The output is presented to the user through an output device provided on the terminal. This device uses speech synthesis technology to provide the generated response in an easy-to-understand format for children, either in audio or video. Furthermore, the information is also displayed visually and presented in a way that is likely to capture children's interest. 【0457】 As a concrete example, consider a scenario where a user requests, "Please give me a simple science quiz." The server can receive this request, use a generative AI model to create a quiz, and present it to the user via voice through the device. An example of a prompt might be, "Please create three simple science quizzes for elementary school students." In this way, the system provides a flexible and interactive educational experience, promoting children's learning. 【0458】 Furthermore, the system continuously collects user feedback and uses it to improve the quality of the content it provides. In this way, it is possible to improve the user's educational experience in a personalized manner. 【0459】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0460】 Step 1: 【0461】 The user provides input via voice or text through the device. For example, if the user asks the device, "Why is the sky blue?", the device accepts the voice input and its built-in software converts the voice data into text data. This converted text data then becomes the input for the next step. 【0462】 Step 2: 【0463】 Data is transmitted from the terminal to the server as voice or text input. The server analyzes the received text data. In this analysis, a generative AI model analyzes the text to understand the user's question and generates the prompt sentence that best suits the user's request. The resulting prompt sentence is then used for the next data processing. 【0464】 Step 3: 【0465】 The server runs a generative AI model using the acquired prompt text. Based on the prompt text, the generative AI model creates the optimal response to the user's question. This response generation process accesses relevant historical data and knowledge bases, combining the necessary information to construct an easy-to-understand explanation for the user. The final generated response data becomes the output for the next step. 【0466】 Step 4: 【0467】 The server sends the generated response to the terminal. The terminal converts the received data into natural-sounding speech using a speech synthesis engine. This allows the user to receive the response in voice. Additionally, if necessary, the output can be displayed on the terminal's screen in text format. 【0468】 Step 5: 【0469】 Users can review the responses presented by their device. If necessary, they can ask additional questions or follow up on questions about other topics. Through this interaction, users can continuously deepen their learning. 【0470】 (Application Example 1) 【0471】 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." 【0472】 In educational support systems designed to assist children's education and development, there is a need for more effective and user-friendly interfaces when providing learning support through dialogue in the home environment. In particular, there is a need for methods that allow children to learn enjoyably and consistently. 【0473】 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. 【0474】 In this invention, the server includes means for receiving input of voice or coded data from a generating device, a control device connected via a computer network including a generating device that analyzes the dialogue based on the input and generates a response, a presentation device that provides the generated response to the child in natural language, and an autonomous robot device that provides learning support to the child at home. This makes it possible to create an environment in which the child can learn naturally at home. 【0475】 A "generation device" is a device that receives audio or coded data as input, processes the information based on it, and analyzes the dialogue. 【0476】 A "computer network" is a network infrastructure in which multiple computer devices are connected via communication lines for the purpose of exchanging information and processing data. 【0477】 A "control device" is a device that receives information from a generating device and has the function of controlling it. It is responsible for appropriately processing the generated response and transmitting it to other devices. 【0478】 A "presentation device" is a device that has the function of providing the user with received information and responses in natural language. 【0479】 An "autonomous robot device" is a robot that operates independently within a home and has the ability to act based on given instructions. 【0480】 This invention relates to an educational support system designed to assist in the education and development of children within the home. The system includes means for receiving audio or coded data input from a generating device, and a server that analyzes the input and generates a response. The generated response is provided to the child in natural language via a presentation device. For example, a smartphone or speaker can be used as the presentation device. 【0481】 In this system, the control unit is responsible for processing the data input from the generation unit. The control unit is connected to each terminal via a computer network and uses a generative AI model to create answers based on children's questions and requests. As the AI ​​model, an open-source AI framework that demonstrates excellent performance in natural language processing can be used. 【0482】 The autonomous robotic device provides direct learning support within the home. The robot receives voice input and outputs responses generated by a generative AI model using speech synthesis technology, thereby stimulating children's curiosity and increasing their motivation to learn. 【0483】 For example, if a child asks the robot, "Tell me about dinosaurs," the server will analyze the question and provide historical information and various facts about dinosaurs. This makes it possible to create an environment where children can learn in a fun way. 【0484】 Examples of prompts used when utilizing generative AI models include the following: 【0485】 "As a knowledgeable robot for children, please explain the question 'Types of Dinosaurs' in an easy-to-understand way." 【0486】 Thus, this invention aims to naturally support learning within the home and help children maintain their interest. 【0487】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0488】 Step 1: 【0489】 The user inputs the question by voice. The voice input is captured through the device's microphone and converted into text data using speech recognition technology. The input consists of the user's spoken words. The output is the question data in text format. 【0490】 Step 2: 【0491】 The terminal sends text data to the server via a generation device. The server analyzes the received text data and inputs it into a generating AI model. The AI ​​model performs data calculations based on the input text data. The output is the generation of a response appropriate to the user's question. 【0492】 Step 3: 【0493】 The server uses a generative AI model to generate a response based on a prompt. This prompt indicates the context and target content of the response. The input consists of the user's question text and the prompt. The output is the text data of the generated response. 【0494】 Step 4: 【0495】 The generated response is sent from the server to the terminal. The terminal uses speech synthesis technology to convert this text data into speech. The input is the generated response text data, and the output is the response in speech format. The terminal provides conversational content by presenting this speech to the user. 【0496】 Step 5: 【0497】 The user listens to the provided voice response and can ask further questions or continue the conversation. This cycle continues until the user is satisfied. User input triggers a new step in the next step (step 1). 【0498】 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. 【0499】 This invention provides a system that offers a more personalized educational experience by combining an emotion engine with an educational support system. The system aims to recognize emotions from a child's voice and facial expressions, use that information to adjust dialogue responses, and recommend appropriate educational content. 【0500】 The server analyzes audio and video data transmitted from the terminal by executing audio and image analysis algorithms to identify the user's emotions. This emotion data influences the response generated by the generator. Specifically, it adjusts the tone and content of the response, making it more lively if the user is excited, or quieter if the user is calm. 【0501】 The device acquires audio and video input from the user and sends it to the server in real time so that the emotion engine can analyze it. It also receives a pre-processed response from the server and provides it to the user using speech synthesis technology. This entire process enables more natural and effective two-way communication. 【0502】 Through this system, users can pursue their daily learning and interests. For example, if a user is feeling stressed about a subject they struggle with, the server uses an emotion engine to recognize this and assists them in their learning by providing relaxing music and easy-to-understand explanations. 【0503】 Such implementations enrich children's learning environments and make educational support more flexible and responsive. As a result, parents can feel more at ease watching their children grow. By utilizing real-time emotion recognition through an emotion engine, it becomes possible to provide more advanced and personalized education. 【0504】 The following describes the processing flow. 【0505】 Step 1: 【0506】 The device prepares to acquire the user's voice or video in real time and send it to the server. 【0507】 Step 2: 【0508】 Users can initiate interaction by speaking to the system or pointing their facial expressions towards the device's camera. 【0509】 Step 3: 【0510】 The device sends the acquired audio and video data to the server, prompting analysis by the emotion engine. 【0511】 Step 4: 【0512】 The server analyzes audio and video data using an emotion engine to identify the user's emotional state (joy, sadness, excitement, etc.). 【0513】 Step 5: 【0514】 The server, based on the analysis results from the emotion engine, instructs the generator to adjust the tone and content when producing responses. 【0515】 Step 6: 【0516】 The server generates a coordinated response using a generator and sends it to the terminal. 【0517】 Step 7: 【0518】 The terminal receives a pre-arranged response from the server and presents it to the user using speech synthesis technology that takes the user's emotions into particular. 【0519】 Step 8: 【0520】 After receiving a response, users can engage in further interactions tailored to their interests and circumstances. 【0521】 Step 9: 【0522】 The device then sends the user's response back to the server, continuously recording it as feedback on their emotional state. 【0523】 Step 10: 【0524】 The server uses feedback data to recommend educational content and to adjust the model to improve the user experience in the future. 【0525】 (Example 2) 【0526】 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." 【0527】 In today's educational environment, there is a need to provide flexible educational support that is tailored to each child's emotional state and learning progress. However, traditional educational systems often provide standardized educational content, making it difficult to realize an educational style optimized for each individual child. Therefore, a system is needed that can appropriately recognize each child's emotions and provide dialogue and educational content based on those emotions. 【0528】 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. 【0529】 In this invention, the server includes means for receiving audio or video information from a device for acquiring input information, analysis means for analyzing the information and identifying emotions, and an information processing device including a generation device for generating dialogue responses based on emotions. This makes it possible to provide optimal dialogue responses and educational content tailored to the emotional state of each child. 【0530】 A "device for acquiring input information" is a device that acquires audio or video information from the user and transmits it to the next processing stage. 【0531】 "Audio or video information" refers to audio and visual data that the user provides to the interface via their device. 【0532】 "Analysis means" refers to a set of algorithms or programs for processing received information and identifying the user's emotional state. 【0533】 "Identifying emotions" is the process of qualitatively or quantitatively determining a user's current emotional state based on data analyzed by analytical tools. 【0534】 An "information processing device including a generation device" is a computer system that includes a processor and related software for generating appropriate dialogue responses based on the results of emotion analysis. 【0535】 "Means of providing in natural language" refers to system components that have the function of presenting generated dialogue responses in a format that is easy for the user to understand, i.e., in natural language. 【0536】 "Voice conversion means" refers to a technology or device that synthesizes a text-based response and transmits it to the user through voice output. 【0537】 A "memory device" is a storage device that holds emotional data and past conversation history, and stores them for later reference. 【0538】 A "recommendation tool" is an algorithm or system component used to present learning content or activities suitable for the user based on analysis results and past data. 【0539】 This invention is an emotion recognition system that enables personalized educational support. This system consists of three elements: a terminal, a server, and a user, each playing a specific role in its function. 【0540】 First, the device acquires audio and video provided by the user. Audio data is converted to a format such as ".wav" using the microphone, and video data is captured frame by frame by the camera. The device sends this data to the server in real time. This data transmission is carried out using a secure communication protocol, thus ensuring data protection. 【0541】 Next, the server processes the received audio and video data. For audio analysis, the server uses speech recognition software (typically a commercially available speech recognition program) to determine the user's emotions from their voice. For video data, it uses an image processing library to analyze facial expressions and identify the user's emotions. This emotion data is input into a generative AI model, which uses the appropriate prompt to generate a response. For example, the prompt "The user seems happy. Please create a response with an energetic tone." might be used. 【0542】 The generated response is sent from the server to the terminal, which then uses speech synthesis technology to convert the text into speech. Commercially available speech synthesis software is used for this purpose. The converted speech is then delivered to the user naturally through the terminal's speaker. 【0543】 This allows users to progress through their learning experience. The system flexibly adapts its responses based on the user's emotional state, allowing users to learn with confidence. For example, if a user is facing a difficult problem, the system provides learning support by offering relaxing music or simplified explanations. This two-way communication makes educational support effective, flexible, and responsive. 【0544】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0545】 Step 1: 【0546】 The device acquires the user's voice and video. It uses a microphone to capture the user's voice as audio data and a camera to collect video data frame by frame. This data is then prepared for transmission to a server in real time. The input is the user's voice and video, and the output is the data sent to the server. 【0547】 Step 2: 【0548】 The device converts the acquired audio data to ".wav" format and saves the video data frame by frame. It then sends both sets of data to the server using a secure protocol such as HTTPS. The input is raw audio and video data, while the output is formatted audio and video data. 【0549】 Step 3: 【0550】 The server analyzes the transmitted audio data using speech recognition software to estimate the user's emotions based on their tone of voice and speech content. The input is ".wav" audio data sent from the terminal, and the output is the estimated emotion data. 【0551】 Step 4: 【0552】 The server uses a video analysis library to analyze video data frame by frame and identifies emotions based on the user's facial expressions. The input is video data for each frame, and the output is the identified emotion data. 【0553】 Step 5: 【0554】 The server generates appropriate dialogue responses using a generative AI model based on the sentiment analysis results. Prompt sentences are selected according to the sentiment, and responses are generated accordingly. An example prompt sentence is, "The user seems happy. Please create a response with an energetic tone." The input is the sentiment analysis results and the prompt sentence, and the output is the generated text response. 【0555】 Step 6: 【0556】 The server sends the generated text response to the terminal. The input is the generated text response, and the output is the data sent to the terminal. 【0557】 Step 7: 【0558】 The terminal converts received text responses into speech using speech synthesis technology and transmits them to the user through a speaker. Commercially available synthesis software is used for speech synthesis. The input is the text response, and the output is the synthesized speech that the user hears. 【0559】 (Application Example 2) 【0560】 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." 【0561】 In today's educational environment, there is a challenge in providing highly individualized learning support that responds to the emotions and interests of each child. Traditional education systems struggle to appropriately grasp children's instantaneous emotional changes and flexibly adjust educational content based on that information, thus hindering improvements in learning efficiency. 【0562】 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. 【0563】 In this invention, the server includes means for receiving input signals, a computing device for analyzing emotional information based on the input signals and generating response information, a display device for providing the generated response information to the child in natural language, and a teaching material supply device for providing educational information optimized based on the child's emotional information. This enables learning support that is tailored to the individual emotions of each child. 【0564】 "Input signal" refers to data such as audio and video acquired from the user. 【0565】 "Emotional information" refers to information that indicates a child's emotional state, analyzed from their facial expressions, tone of voice, and other similar data. 【0566】 "Response information" refers to information about dialogue content and educational content generated based on a child's emotional information. 【0567】 A "processing unit" refers to a computer device that analyzes input signals and generates emotional information. 【0568】 A "display device" is a device that presents generated response information to the user visually or audibly. 【0569】 A "teaching material supply device" is a device that provides children with personalized educational information based on emotional information. 【0570】 This invention is an educational support system that personalizes children's learning experiences using an emotion engine. The server receives input signals and operates an emotion recognition engine to analyze the user's facial expressions and voice derived from those signals. This engine utilizes advanced speech and image analysis algorithms to generate emotional information and leverages a generative AI model to generate optimal response information. 【0571】 The terminal has the function of transmitting audio and video acquired from the user to the server in real time. The response information generated by the server is provided to the user using speech synthesis technology. A display device such as a smartphone is used to present the information visually or audibly. Based on this interaction, the server controls the educational material supply device and provides educational content optimized based on emotional information. 【0572】 One concrete example is a scenario where a child interacts with a robot via a smartphone. When the child is struggling with a math problem, the robot analyzes the child's emotions from their tone of voice and facial expressions, and suggests relaxing music and a simple video tutorial. The generative AI model used in this process operates in the form of prompts such as, "Robot, please understand the child's situation and provide appropriate content." 【0573】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0574】 Step 1: 【0575】 The device records and captures the user's voice and video, acquiring them as input data. This input data is transmitted to the server in real time. This transmission is usually done via a wireless network. 【0576】 Step 2: 【0577】 The server inputs the received audio and video data into the emotion recognition engine. The engine identifies emotions from the audio and extracts emotional information from the video using a facial expression analysis algorithm. This outputs the user's emotions as data. This result is then ready to be passed to the generative AI model. 【0578】 Step 3: 【0579】 The generating AI model receives emotional information as input, along with the prompt "The robot should understand the child's situation and provide appropriate content." Based on the input emotional information, the model generates optimal response information. This response information includes voice tone and suggested educational content. 【0580】 Step 4: 【0581】 The server returns the generated response information to the terminal. At this time, the response information is processed using speech synthesis technology to present it appropriately to the user. As a result, the user can receive responses in a natural conversational format. 【0582】 Step 5: 【0583】 Users progress through their learning based on the response information presented. During this process, educational content is visualized on the device's display and audibly presented as audio. This entire process personalizes the user's learning experience. 【0584】 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. 【0585】 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. 【0586】 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. 【0587】 [Fourth Embodiment] 【0588】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0589】 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. 【0590】 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). 【0591】 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. 【0592】 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. 【0593】 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). 【0594】 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. 【0595】 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. 【0596】 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. 【0597】 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. 【0598】 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. 【0599】 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. 【0600】 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". 【0601】 This invention is an educational support system designed to assist in the education and development of children. The system's primary function is to receive voice or text input from a generator, generate appropriate responses, and present them to the child in natural language. It also provides learning support by recommending content suitable for the child based on behavioral data and past dialogue history. 【0602】 The server plays a central role in this system, running an artificial intelligence model that analyzes input data and generates responses. For example, in response to a user's question or the initiation of a dialogue, the server analyzes the content and prepares it to send as appropriate "answer data" to the terminal. The server also selects customized content based on the individual user profile. 【0603】 The device acts as the interface with the user, presenting responses received from the server to the child using speech synthesis technology. It also accepts user input via voice or text. For example, if a user wants to talk about their day, the device displays a voice input screen and provides an interface that allows for easy input via touch. 【0604】 Users can use this system in their daily lives to ask questions about things they want to learn and enjoy conversations at any time. For example, if a user asks a question about a historical figure they are interested in, the server can analyze relevant information and provide an easy-to-understand answer via the device, thus providing an effective learning experience. 【0605】 Thus, the present invention provides an educational experience that users can easily and efficiently utilize through their terminals, based on advanced data analysis and customization functions provided by the server. As a result, it increases user satisfaction and reduces the burden on parents. 【0606】 The following describes the processing flow. 【0607】 Step 1: 【0608】 The device receives user (child) profile information (name, age, interests, etc.) when the application is launched and sends this information to the server. 【0609】 Step 2: 【0610】 The server stores the received profile information in a database and performs data management corresponding to each individual user. 【0611】 Step 3: 【0612】 Users initiate interaction by speaking to the AI ​​agent via voice or text. 【0613】 Step 4: 【0614】 The terminal transmits user input data to the server in real time. 【0615】 Step 5: 【0616】 The server analyzes the received input data using an AI model and generates an appropriate response. In this process, the response content is customized based on past dialogue history and user profiles. 【0617】 Step 6: 【0618】 The server sends the generated response to the terminal and records the analysis results to help with future customizations. 【0619】 Step 7: 【0620】 The terminal uses speech synthesis technology to present the response received from the server to the user. 【0621】 Step 8: 【0622】 Users provide feedback to the agent by asking further questions or selecting different activities in response to the agent's responses. 【0623】 Step 9: 【0624】 The device sends the user's response as feedback data to the server. 【0625】 Step 10: 【0626】 The server analyzes the feedback data, adjusts the AI ​​model, and optimizes the content to prepare for the user's next session. 【0627】 (Example 1) 【0628】 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". 【0629】 To effectively support children's growth and education, flexible and customizable educational experiences tailored to their age and interests are necessary. However, existing systems are inadequately adapted to the individual characteristics and circumstances of each child, failing to maximize educational effectiveness. Furthermore, they struggle to provide a natural and engaging interactive experience without burdening the user. 【0630】 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. 【0631】 In this invention, the server includes a device means for receiving voice or text data, an information processing device means for performing analysis based on the data and generating a response, and a control means for generating a response using a prompt sentence with a generation AI model. This makes it possible to provide customized educational content suited to each child and realize a natural conversational experience. 【0632】 "Voice or text data" refers to voice or text information entered by the user through their device. 【0633】 "Device means" refers to hardware or software components used to perform a specific function. 【0634】 "Information processing device means" refers to a computer or software that analyzes input data and generates necessary information. 【0635】 A "generative AI model" refers to artificial intelligence technology that learns based on given data and automatically generates appropriate responses and information. 【0636】 A "prompt" refers to a form of text input used to instruct a generative AI model on a specific task. 【0637】 "Control means" refers to hardware or software components used to manage and adjust the operation of the entire system. 【0638】 "Output device means" refers to devices or software that present generated information in a form that is understandable to humans. 【0639】 "Adjustment mechanism" refers to a system that optimizes the information and services provided according to the user's characteristics and requirements. 【0640】 "Memory device" refers to hardware or software components used to store data or information. 【0641】 "Recommendation device means" refers to a system that suggests relevant educational content and activities based on the user's profile and past behavior. 【0642】 The educational support system implemented by this invention aims to receive audio or text data and provide educational content tailored to each individual child. 【0643】 The system includes a terminal that enables user interaction. The terminal is equipped with voice and text input devices, providing an environment where users can easily input information. This device incorporates software for converting voice data into digital data. 【0644】 The server analyzes the voice or text data received from the terminal. This analysis is performed by a generative AI model, which uses prompts to generate appropriate responses to user questions and requests. This generative AI model comprises advanced artificial intelligence technology capable of generating natural language responses based on the input. 【0645】 The system incorporates control mechanisms that utilize generative AI models to provide customized information based on user profiles. These profiles are stored in memory and use past interaction history and behavioral data to provide foundational information for delivering more relevant content. 【0646】 The output is presented to the user through an output device provided on the terminal. This device uses speech synthesis technology to provide the generated response in an easy-to-understand format for children, either in audio or video. Furthermore, the information is also displayed visually and presented in a way that is likely to capture children's interest. 【0647】 As a concrete example, consider a scenario where a user requests, "Please give me a simple science quiz." The server can receive this request, use a generative AI model to create a quiz, and present it to the user via voice through the device. An example of a prompt might be, "Please create three simple science quizzes for elementary school students." In this way, the system provides a flexible and interactive educational experience, promoting children's learning. 【0648】 Furthermore, the system continuously collects user feedback and uses it to improve the quality of the content it provides. In this way, it is possible to improve the user's educational experience in a personalized manner. 【0649】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0650】 Step 1: 【0651】 The user provides input via voice or text through the device. For example, if the user asks the device, "Why is the sky blue?", the device accepts the voice input and its built-in software converts the voice data into text data. This converted text data then becomes the input for the next step. 【0652】 Step 2: 【0653】 Data is transmitted from the terminal to the server as voice or text input. The server analyzes the received text data. In this analysis, a generative AI model analyzes the text to understand the user's question and generates the prompt sentence that best suits the user's request. The resulting prompt sentence is then used for the next data processing. 【0654】 Step 3: 【0655】 The server runs a generative AI model using the acquired prompt text. Based on the prompt text, the generative AI model creates the optimal response to the user's question. This response generation process accesses relevant historical data and knowledge bases, combining the necessary information to construct an easy-to-understand explanation for the user. The final generated response data becomes the output for the next step. 【0656】 Step 4: 【0657】 The server sends the generated response to the terminal. The terminal converts the received data into natural-sounding speech using a speech synthesis engine. This allows the user to receive the response in voice. Additionally, if necessary, the output can be displayed on the terminal's screen in text format. 【0658】 Step 5: 【0659】 Users can review the responses presented by their device. If necessary, they can ask additional questions or follow up on questions about other topics. Through this interaction, users can continuously deepen their learning. 【0660】 (Application Example 1) 【0661】 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". 【0662】 In educational support systems designed to assist children's education and development, there is a need for more effective and user-friendly interfaces when providing learning support through dialogue in the home environment. In particular, there is a need for methods that allow children to learn enjoyably and consistently. 【0663】 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. 【0664】 In this invention, the server includes means for receiving input of voice or coded data from a generating device, a control device connected via a computer network including a generating device that analyzes the dialogue based on the input and generates a response, a presentation device that provides the generated response to the child in natural language, and an autonomous robot device that provides learning support to the child at home. This makes it possible to create an environment in which the child can learn naturally at home. 【0665】 A "generation device" is a device that receives audio or coded data as input, processes the information based on it, and analyzes the dialogue. 【0666】 A "computer network" is a network infrastructure in which multiple computer devices are connected via communication lines for the purpose of exchanging information and processing data. 【0667】 A "control device" is a device that receives information from a generating device and has the function of controlling it. It is responsible for appropriately processing the generated response and transmitting it to other devices. 【0668】 A "presentation device" is a device that has the function of providing the user with received information and responses in natural language. 【0669】 An "autonomous robot device" is a robot that operates independently within a home and has the ability to act based on given instructions. 【0670】 This invention relates to an educational support system designed to assist in the education and development of children within the home. The system includes means for receiving audio or coded data input from a generating device, and a server that analyzes the input and generates a response. The generated response is provided to the child in natural language via a presentation device. For example, a smartphone or speaker can be used as the presentation device. 【0671】 In this system, the control unit is responsible for processing the data input from the generation unit. The control unit is connected to each terminal via a computer network and uses a generative AI model to create answers based on children's questions and requests. As the AI ​​model, an open-source AI framework that demonstrates excellent performance in natural language processing can be used. 【0672】 The autonomous robotic device provides direct learning support within the home. The robot receives voice input and outputs responses generated by a generative AI model using speech synthesis technology, thereby stimulating children's curiosity and increasing their motivation to learn. 【0673】 For example, if a child asks the robot, "Tell me about dinosaurs," the server will analyze the question and provide historical information and various facts about dinosaurs. This makes it possible to create an environment where children can learn in a fun way. 【0674】 Examples of prompts used when utilizing generative AI models include the following: 【0675】 "As a knowledgeable robot for children, please explain the question 'Types of Dinosaurs' in an easy-to-understand way." 【0676】 Thus, this invention aims to naturally support learning within the home and help children maintain their interest. 【0677】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0678】 Step 1: 【0679】 The user inputs the question by voice. The voice input is captured through the device's microphone and converted into text data using speech recognition technology. The input consists of the user's spoken words. The output is the question data in text format. 【0680】 Step 2: 【0681】 The terminal sends text data to the server via a generation device. The server analyzes the received text data and inputs it into a generating AI model. The AI ​​model performs data calculations based on the input text data. The output is the generation of a response appropriate to the user's question. 【0682】 Step 3: 【0683】 The server uses a generative AI model to generate a response based on a prompt. This prompt indicates the context and target content of the response. The input consists of the user's question text and the prompt. The output is the text data of the generated response. 【0684】 Step 4: 【0685】 The generated response is sent from the server to the terminal. The terminal uses speech synthesis technology to convert this text data into speech. The input is the generated response text data, and the output is the response in speech format. The terminal provides conversational content by presenting this speech to the user. 【0686】 Step 5: 【0687】 The user listens to the provided voice response and can ask further questions or continue the conversation. This cycle continues until the user is satisfied. User input triggers a new step in the next step (step 1). 【0688】 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. 【0689】 This invention provides a system that offers a more personalized educational experience by combining an emotion engine with an educational support system. The system aims to recognize emotions from a child's voice and facial expressions, use that information to adjust dialogue responses, and recommend appropriate educational content. 【0690】 The server analyzes audio and video data transmitted from the terminal by executing audio and image analysis algorithms to identify the user's emotions. This emotion data influences the response generated by the generator. Specifically, it adjusts the tone and content of the response, making it more lively if the user is excited, or quieter if the user is calm. 【0691】 The device acquires audio and video input from the user and sends it to the server in real time so that the emotion engine can analyze it. It also receives a pre-processed response from the server and provides it to the user using speech synthesis technology. This entire process enables more natural and effective two-way communication. 【0692】 Through this system, users can pursue their daily learning and interests. For example, if a user is feeling stressed about a subject they struggle with, the server uses an emotion engine to recognize this and assists them in their learning by providing relaxing music and easy-to-understand explanations. 【0693】 Such implementations enrich children's learning environments and make educational support more flexible and responsive. As a result, parents can feel more at ease watching their children grow. By utilizing real-time emotion recognition through an emotion engine, it becomes possible to provide more advanced and personalized education. 【0694】 The following describes the processing flow. 【0695】 Step 1: 【0696】 The device prepares to acquire the user's voice or video in real time and send it to the server. 【0697】 Step 2: 【0698】 Users can initiate interaction by speaking to the system or pointing their facial expressions towards the device's camera. 【0699】 Step 3: 【0700】 The device sends the acquired audio and video data to the server, prompting analysis by the emotion engine. 【0701】 Step 4: 【0702】 The server analyzes audio and video data using an emotion engine to identify the user's emotional state (joy, sadness, excitement, etc.). 【0703】 Step 5: 【0704】 The server, based on the analysis results from the emotion engine, instructs the generator to adjust the tone and content when producing responses. 【0705】 Step 6: 【0706】 The server generates a coordinated response using a generator and sends it to the terminal. 【0707】 Step 7: 【0708】 The terminal receives a pre-arranged response from the server and presents it to the user using speech synthesis technology that takes the user's emotions into particular. 【0709】 Step 8: 【0710】 After receiving a response, users can engage in further interactions tailored to their interests and circumstances. 【0711】 Step 9: 【0712】 The device then sends the user's response back to the server, continuously recording it as feedback on their emotional state. 【0713】 Step 10: 【0714】 The server uses feedback data to recommend educational content and to adjust the model to improve the user experience in the future. 【0715】 (Example 2) 【0716】 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". 【0717】 In today's educational environment, there is a need to provide flexible educational support that is tailored to each child's emotional state and learning progress. However, traditional educational systems often provide standardized educational content, making it difficult to realize an educational style optimized for each individual child. Therefore, a system is needed that can appropriately recognize each child's emotions and provide dialogue and educational content based on those emotions. 【0718】 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. 【0719】 In this invention, the server includes means for receiving audio or video information from a device for acquiring input information, analysis means for analyzing the information and identifying emotions, and an information processing device including a generation device for generating dialogue responses based on emotions. This makes it possible to provide optimal dialogue responses and educational content tailored to the emotional state of each child. 【0720】 A "device for acquiring input information" is a device that acquires audio or video information from the user and transmits it to the next processing stage. 【0721】 "Audio or video information" refers to audio and visual data that the user provides to the interface via their device. 【0722】 "Analysis means" refers to a set of algorithms or programs for processing received information and identifying the user's emotional state. 【0723】 "Identifying emotions" is the process of qualitatively or quantitatively determining a user's current emotional state based on data analyzed by analytical tools. 【0724】 An "information processing device including a generation device" is a computer system that includes a processor and related software for generating appropriate dialogue responses based on the results of emotion analysis. 【0725】 "Means of providing in natural language" refers to system components that have the function of presenting generated dialogue responses in a format that is easy for the user to understand, i.e., in natural language. 【0726】 "Voice conversion means" refers to a technology or device that synthesizes a text-based response and transmits it to the user through voice output. 【0727】 A "memory device" is a storage device that holds emotional data and past conversation history, and stores them for later reference. 【0728】 A "recommendation tool" is an algorithm or system component used to present learning content or activities suitable for the user based on analysis results and past data. 【0729】 This invention is an emotion recognition system that enables personalized educational support. This system consists of three elements: a terminal, a server, and a user, each playing a specific role in its function. 【0730】 First, the device acquires audio and video provided by the user. Audio data is converted to a format such as ".wav" using the microphone, and video data is captured frame by frame by the camera. The device sends this data to the server in real time. This data transmission is carried out using a secure communication protocol, thus ensuring data protection. 【0731】 Next, the server processes the received audio and video data. For audio analysis, the server uses speech recognition software (typically a commercially available speech recognition program) to determine the user's emotions from their voice. For video data, it uses an image processing library to analyze facial expressions and identify the user's emotions. This emotion data is input into a generative AI model, which uses the appropriate prompt to generate a response. For example, the prompt "The user seems happy. Please create a response with an energetic tone." might be used. 【0732】 The generated response is sent from the server to the terminal, which then uses speech synthesis technology to convert the text into speech. Commercially available speech synthesis software is used for this purpose. The converted speech is then delivered to the user naturally through the terminal's speaker. 【0733】 This allows users to progress through their learning experience. The system flexibly adapts its responses based on the user's emotional state, allowing users to learn with confidence. For example, if a user is facing a difficult problem, the system provides learning support by offering relaxing music or simplified explanations. This two-way communication makes educational support effective, flexible, and responsive. 【0734】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0735】 Step 1: 【0736】 The device acquires the user's voice and video. It uses a microphone to capture the user's voice as audio data and a camera to collect video data frame by frame. This data is then prepared for transmission to a server in real time. The input is the user's voice and video, and the output is the data sent to the server. 【0737】 Step 2: 【0738】 The device converts the acquired audio data to ".wav" format and saves the video data frame by frame. It then sends both sets of data to the server using a secure protocol such as HTTPS. The input is raw audio and video data, while the output is formatted audio and video data. 【0739】 Step 3: 【0740】 The server analyzes the transmitted audio data using speech recognition software to estimate the user's emotions based on their tone of voice and speech content. The input is ".wav" audio data sent from the terminal, and the output is the estimated emotion data. 【0741】 Step 4: 【0742】 The server uses a video analysis library to analyze video data frame by frame and identifies emotions based on the user's facial expressions. The input is video data for each frame, and the output is the identified emotion data. 【0743】 Step 5: 【0744】 The server generates appropriate dialogue responses using a generative AI model based on the sentiment analysis results. Prompt sentences are selected according to the sentiment, and responses are generated accordingly. An example prompt sentence is, "The user seems happy. Please create a response with an energetic tone." The input is the sentiment analysis results and the prompt sentence, and the output is the generated text response. 【0745】 Step 6: 【0746】 The server sends the generated text response to the terminal. The input is the generated text response, and the output is the data sent to the terminal. 【0747】 Step 7: 【0748】 The terminal converts received text responses into speech using speech synthesis technology and transmits them to the user through a speaker. Commercially available synthesis software is used for speech synthesis. The input is the text response, and the output is the synthesized speech that the user hears. 【0749】 (Application Example 2) 【0750】 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". 【0751】 In today's educational environment, there is a challenge in providing highly individualized learning support that responds to the emotions and interests of each child. Traditional education systems struggle to appropriately grasp children's instantaneous emotional changes and flexibly adjust educational content based on that information, thus hindering improvements in learning efficiency. 【0752】 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. 【0753】 In this invention, the server includes means for receiving input signals, a computing device for analyzing emotional information based on the input signals and generating response information, a display device for providing the generated response information to the child in natural language, and a teaching material supply device for providing educational information optimized based on the child's emotional information. This enables learning support that is tailored to the individual emotions of each child. 【0754】 "Input signal" refers to data such as audio and video acquired from the user. 【0755】 "Emotional information" refers to information that indicates a child's emotional state, analyzed from their facial expressions, tone of voice, and other similar data. 【0756】 "Response information" refers to information about dialogue content and educational content generated based on a child's emotional information. 【0757】 A "processing unit" refers to a computer device that analyzes input signals and generates emotional information. 【0758】 A "display device" is a device that presents generated response information to the user visually or audibly. 【0759】 A "teaching material supply device" is a device that provides children with personalized educational information based on emotional information. 【0760】 This invention is an educational support system that personalizes children's learning experiences using an emotion engine. The server receives input signals and operates an emotion recognition engine to analyze the user's facial expressions and voice derived from those signals. This engine utilizes advanced speech and image analysis algorithms to generate emotional information and leverages a generative AI model to generate optimal response information. 【0761】 The terminal has the function of transmitting audio and video acquired from the user to the server in real time. The response information generated by the server is provided to the user using speech synthesis technology. A display device such as a smartphone is used to present the information visually or audibly. Based on this interaction, the server controls the educational material supply device and provides educational content optimized based on emotional information. 【0762】 One concrete example is a scenario where a child interacts with a robot via a smartphone. When the child is struggling with a math problem, the robot analyzes the child's emotions from their tone of voice and facial expressions, and suggests relaxing music and a simple video tutorial. The generative AI model used in this process operates in the form of prompts such as, "Robot, please understand the child's situation and provide appropriate content." 【0763】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0764】 Step 1: 【0765】 The device records and captures the user's voice and video, acquiring them as input data. This input data is transmitted to the server in real time. This transmission is usually done via a wireless network. 【0766】 Step 2: 【0767】 The server inputs the received audio and video data into the emotion recognition engine. The engine identifies emotions from the audio and extracts emotional information from the video using a facial expression analysis algorithm. This outputs the user's emotions as data. This result is then ready to be passed to the generative AI model. 【0768】 Step 3: 【0769】 The generating AI model receives emotional information as input, along with the prompt "The robot should understand the child's situation and provide appropriate content." Based on the input emotional information, the model generates optimal response information. This response information includes voice tone and suggested educational content. 【0770】 Step 4: 【0771】 The server returns the generated response information to the terminal. At this time, the response information is processed using speech synthesis technology to present it appropriately to the user. As a result, the user can receive responses in a natural conversational format. 【0772】 Step 5: 【0773】 Users progress through their learning based on the response information presented. During this process, educational content is visualized on the device's display and audibly presented as audio. This entire process personalizes the user's learning experience. 【0774】 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. 【0775】 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. 【0776】 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. 【0777】 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. 【0778】 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. 【0779】 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. 【0780】 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. 【0781】 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. 【0782】 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." 【0783】 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. 【0784】 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. 【0785】 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. 【0786】 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. 【0787】 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. 【0788】 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. 【0789】 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. 【0790】 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. 【0791】 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. 【0792】 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. 【0793】 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. 【0794】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference. 【0795】 The following is further disclosed regarding the embodiments described above. 【0796】 (Claim 1) 【0797】 Means for receiving audio or text input from a generating device, 【0798】 A control device connected via a computer network, which includes a generation device that analyzes the dialogue based on the input and generates a response, 【0799】 An educational support system that assists in the growth of children, comprising a presentation device that provides the generated response to the child in natural language. 【0800】 (Claim 2) 【0801】 The system according to claim 1, further comprising a storage device for storing child behavior data and past conversation history. 【0802】 (Claim 3) 【0803】 The system according to claim 1, further comprising a recommendation device for recommending educational content or activities based on the generated response. 【0804】 "Example 1" 【0805】 (Claim 1) 【0806】 A device means for receiving audio or text data, 【0807】 Information processing device means that performs analysis based on the aforementioned data and generates a response, 【0808】 A control means that generates a response using a prompt sentence with a generative AI model, 【0809】 Output device means for presenting the generated response in audio or video, 【0810】 A means of adjusting the content based on individual user information, 【0811】 A system that includes this. 【0812】 (Claim 2) 【0813】 The system according to claim 1, further comprising a storage means for storing past behavioral history and dialogue history. 【0814】 (Claim 3) 【0815】 The system according to claim 1, further comprising recommendation device means for providing educational information or activity information based on the generated response. 【0816】 "Application Example 1" 【0817】 (Claim 1) 【0818】 Means for receiving input of audio or coded data from a generating device, 【0819】 A control device connected via a computer network, which includes a generation device that analyzes the dialogue based on the input and generates a response, 【0820】 A presentation device that provides the generated response to the child in natural language, 【0821】 An educational support system that assists children's growth by incorporating an autonomous robotic device that provides learning support to children within the home. 【0822】 (Claim 2) 【0823】 The system according to claim 1, further comprising a storage device for storing the child's behavioral data and past dialogue history. 【0824】 (Claim 3) 【0825】 The system according to claim 1, further comprising a recommendation device that recommends learning materials or activities based on the generated response. 【0826】 "Example 2 of combining an emotion engine" 【0827】 (Claim 1) 【0828】 A means for receiving audio or video information from a device that acquires input information, 【0829】 An analytical means for analyzing the aforementioned information and identifying emotions, 【0830】 An information processing device including a generator that generates dialogue responses based on emotions, 【0831】 A presentation means that provides the generated response in natural language, 【0832】 A means for outputting the response as sound using a voice conversion means, 【0833】 ... 【0834】 A system that includes this. 【0835】 (Claim 2) 【0836】 The system according to claim 1, further comprising a storage device for storing emotion data and past dialogue history, enabling real-time emotion-appropriate responses. 【0837】 (Claim 3) 【0838】 The system according to claim 1, further comprising recommendation means for recommending learning content or activities based on the generated response, thereby supporting the user's choices. 【0839】 "Application example 2 when combining with an emotional engine" 【0840】 (Claim 1) 【0841】 Means for receiving an input signal, 【0842】 A computing device that analyzes emotional information based on the aforementioned input signal and generates response information, 【0843】 A display device that provides the generated response information to the child in natural language, 【0844】 A learning support system that promotes child development, equipped with a material supply device that provides educational information optimized based on the child's emotional information. 【0845】 (Claim 2) 【0846】 The system according to claim 1, further comprising a recording device for storing child status data and past interaction information. 【0847】 (Claim 3) 【0848】 The system according to claim 1, further comprising a selection device for recommending educational information or activities based on the generated response information. [Explanation of Symbols] 【0849】 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

[Claim 1] Means for receiving audio or text input from a generating device, A control device connected via a computer network, which includes a generation device that analyzes the dialogue based on the input and generates a response, An educational support system that assists in the growth of children, comprising a presentation device that provides the generated response to the child in natural language. [Claim 2] The system according to claim 1, further comprising a storage device for storing child behavior data and past dialogue history. [Claim 3] The system according to claim 1, further comprising a recommendation device that recommends educational content or activities based on the generated response.

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