System

Abstract

A system is provided.SOLUTION: A system comprising: means for acquiring a text input from a user; means for generating a plurality of responses to the text input using generative artificial intelligence; means for analyzing the plurality of responses and evaluating the responses based on grammar, rhythm, and creativity; means for determining victory or defeat based on the evaluation; means for displaying a result of the victory or defeat to the user; means for storing a conversation log of the text input and the responses and recording a performance of the user; means for providing feedback on growth of the user based on the performance; and means for providing a special device model to the user satisfying a specific condition.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] While there are many educational and entertainment games available today, few foster language skills and creativity while also being fun to play. In particular, educational rap battle games suitable for elementary school students are extremely limited. Furthermore, existing rap battle games lack sufficient feedback on user progress and performance, making it difficult to sustain interest. Furthermore, the determination of victory or defeat is subjective and can lack accuracy and fairness. Therefore, a system that combines learning and fun through rap battles and promotes user growth is needed. [Means for solving the problem]

[0005] The present invention provides a system including: means for receiving text input from a user; means for generating multiple responses to the text input using generative artificial intelligence; means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity; means for determining whether a user wins or loses based on the evaluation; means for displaying the results of the win or loss to the user; means for saving a conversation log of the text input and the responses and recording the user's performance; means for providing feedback on the user's progress based on the performance; and means for providing special device models to users who meet certain conditions. This allows users to have fun while honing their language skills and experiencing real progress. Furthermore, the fair judgment of victory or defeat and detailed feedback provided by the generative artificial intelligence provide sustained interest and learning.

[0006] "User" refers to an individual who uses the system to participate in rap battles.

[0007] "Text input" refers to text data such as rap sentences or questions that a user inputs into the system.

[0008] "Generative AI" refers to AI that generates appropriate responses based on user text input.

[0009] A "response" refers to a sentence or phrase that a generative AI generates in response to a user's text input.

[0010] "Evaluation" refers to the act of assigning a score to the response generated by generative artificial intelligence in terms of grammar, rhythm, creativity, etc.

[0011] "Winning and losing determination" refers to the process of determining the winner of a rap battle based on the evaluation of generative artificial intelligence.

[0012] "Conversation log" refers to a record of the user's text input and the responses generated by generative artificial intelligence.

[0013] "Results" refers to the results and evaluation score history of rap battles that a user has previously participated in.

[0014] "Feedback" refers to information that provides hints and areas for improvement based on a user's performance.

[0015] "Device Model" refers to a hardware device with a particular design and functionality that a user uses. [Brief explanation of the drawings]

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

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

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

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

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

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

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

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

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

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

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

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

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

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

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

[0037] This invention relates to a training-type rap battle game system for elementary school students. This system uses generative artificial intelligence to generate appropriate responses to users' text input, and evaluates and judges the content of those responses, allowing users to hone their language skills while having fun.

[0038] The system includes the following components:

[0039] 1. A device that captures user text input:

[0040] Users enter their rap lines and questions into the terminal.

[0041] The terminal captures the user's text input and sends the data to the server.

[0042] 2. Servers using generative artificial intelligence:

[0043] The server receives text input submitted by a user and generates a response to the input using a plurality of generative artificial intelligence chatbots.

[0044] The server returns the generated responses to the terminal.

[0045] 3. Server that parses and evaluates the response:

[0046] The server analyzes the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score.

[0047] The server determines the winner based on these evaluations and transmits the result to the terminal.

[0048] 4. Device to view results:

[0049] The terminal displays the evaluation results and winner information received from the server to the user.

[0050] Users can check their own scores and the responses of others.

[0051] 5. Server that records conversation logs and results:

[0052] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[0053] The server records the user's performance and periodically analyzes it to generate growth feedback.

[0054] 6. Devices that provide feedback to users:

[0055] The server generates growth feedback and transmits the content to the terminal.

[0056] The device displays this feedback to the user, suggesting the next goal.

[0057] 7. Servers that provide special device models:

[0058] For users who win a contest or meet certain conditions, the server provides device models with special designs and functions.

[0059] Users can enjoy more advanced rap battles using this special device.

[0060] Program specific examples and processing

[0061] 1. Getting and sending user input:

[0062] A user inputs his / her rap into the system through a terminal. For example, when a user inputs "my rap line," the terminal receives the input and transmits it to the server.

[0063] 2. Response generation using generative artificial intelligence:

[0064] The server uses generative artificial intelligence to generate multiple responses based on the text input received from the user. For example, "AI Chatbot 1," "AI Chatbot 2," etc. each generate a different response.

[0065] 3. Evaluating responses and determining winners:

[0066] The server evaluates the generated responses in terms of grammar, rhythm, creativity, etc., and assigns a score to each one. Based on the evaluated scores, the server determines the winner and sends the result to the terminal.

[0067] 4. Results display and feedback:

[0068] The device displays the results received from the server to the user, such as "You won" or "Your rhyme was great." Additionally, the device displays feedback generated by the server, allowing the user to see where they need to improve and where they have grown.

[0069] 5. Recording of performance and providing special models:

[0070] The server records past battle results and evaluation scores in a database to track users' performance, and users who win contests will be given special device models.

[0071] As described above, the system of the present invention allows users to hone their linguistic skills and creativity through rap battles, while having fun and experiencing growth. Furthermore, the fair evaluation of generative AI can stimulate sustained interest and competitive spirit.

[0072] The processing flow will be explained below.

[0073] Step 1: Getting User Input

[0074] The device receives text input, such as rap lines or questions, from the user by the user typing the text into the device's interface.

[0075] The terminal temporarily stores the acquired text input data and prepares it for subsequent transmission to the server.

[0076] Step 2: Send text input to the server

[0077] The terminal sends the user's input data to the server, including the user ID and text content.

[0078] The server verifies the user's text input received from the terminal and begins the parsing process.

[0079] Step 3: Generative AI generates a response

[0080] The server receives the user's text input and passes it to a generative artificial intelligence to generate multiple responses.

[0081] The server temporarily stores the generated responses and prepares to evaluate them.

[0082] Step 4: Analyze and evaluate the response

[0083] The server analyzes each generated response, checking grammar, rhythm, and creativity.

[0084] The server scores the responses based on each criterion and calculates an overall score.

[0085] Step 5: Determining the Winner

[0086] The server determines the winner between the user and the generative artificial intelligence based on the calculated total score.

[0087] The server transmits the result of the game and the evaluation points to the terminal.

[0088] Step 6: View the results

[0089] The terminal displays the results of the game and the evaluation points sent from the server to the user. For example, it displays messages such as "You won" or "The quality of your rhyme was excellent."

[0090] The user checks his / her own score and the other person's response.

[0091] Step 7: Log your conversations and record your grades

[0092] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[0093] The server records the user's performance and prepares to reflect the user's progress in the next match.

[0094] Step 8: Provide growth feedback

[0095] The server generates feedback on the user's progress based on their past performance, offering specific advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[0096] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[0097] Step 9: Provide a special device model

[0098] The server processes the provision of a special device model when a user meets certain conditions, such as winning a contest.

[0099] Users will receive this special device and be able to take on more advanced rap battles.

[0100] Example 1

[0101] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0102] In conventional rap battle game systems, generating responses and evaluating user inputs is often done manually, making it difficult to provide fast and fair evaluations. Furthermore, they lacked features such as providing appropriate feedback and special devices to promote user growth. As a result, it was difficult to maintain user motivation.

[0103] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0104] In this invention, the server includes a means for receiving text input from a user, a means for generating multiple responses to the text input using generative artificial intelligence, and a means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity. This allows for fast and fair evaluation. Furthermore, by including a means for determining victory or defeat based on the evaluation results, a means for displaying the results to the user, a means for providing feedback, and a means for providing special device models to users who meet certain conditions, it is possible to maintain user motivation and promote growth.

[0105] "User" refers to an individual who uses the system to participate in rap battles and enter text, etc.

[0106] "Text input" refers to text data such as rap lines or questions that a user inputs into the system through a terminal.

[0107] "Generative AI" refers to AI technology that automatically generates responses based on user text input.

[0108] "Response" refers to text data generated by a generative artificial intelligence in response to a user's text input.

[0109] "Evaluation" refers to the act of analyzing the responses generated by generative AI in terms of grammar, rhythm, and creativity, and assigning them a score.

[0110] "Winning and Losing Determination" refers to the process of determining the winners and losers of a rap battle based on evaluation.

[0111] "Terminal" refers to the device used by a user to access the system and enter text, including, for example, a smartphone or tablet.

[0112] "Server" refers to a central processing unit that uses generative artificial intelligence to generate responses, evaluates and determines winners and losers, and provides the results to the user.

[0113] "Conversation log" refers to data that records user text input and responses generated by generative artificial intelligence.

[0114] "Results" refers to the evaluation score and win / loss history obtained by the user in the rap battle.

[0115] "Feedback" refers to information that suggests next goals and areas for improvement based on the user's performance.

[0116] "Special Device Model" refers to a device with a special design or functionality that is offered to users who win a contest or meet certain conditions.

[0117] In the rap battle game system of the present invention, users input their own rap lines and questions as text, and a generative AI system generates automatic responses, which are then evaluated to determine the winner. This system allows users to have fun while improving their verbal skills and creativity.

[0118] The system includes the following main components:

[0119] 1. A device that captures user text input

[0120] Users use devices such as smartphones and tablets to input their rap lines and questions.

[0121] The device receives the text input and sends it to the server. For example, a user might type, "No rhyme can beat you, my words are sharp and dynamite!"

[0122] 2. Servers that use generative artificial intelligence

[0123] The server receives text input submitted by the user.

[0124] The server uses generative AI such as GPT-4 and BERT to generate multiple responses. For example, GPT-4 might generate "Your words are strong, but my rap will get you off," while BERT might generate "Your words are dandy, but my rap is even more kandy."

[0125] 3. Server that analyzes and evaluates the response

[0126] The server analyzes the generated responses in terms of grammar, rhythm, and creativity, and assigns a score to each response, for example, "Grammar score: 8 / 10," "Rhythm score: 7 / 10," and "Creativity score: 9 / 10."

[0127] 4. A device that determines the winner and displays the results

[0128] The server determines the winner based on the evaluation results and transmits the result to the terminal.

[0129] The terminal displays the evaluation results and winner information received from the server to the user. For example, a message such as "You win! Your rhythm was perfect!" may be displayed.

[0130] 5. Server that records conversation logs and scores

[0131] The server saves the user's text input and the responses from the generative AI as a conversation log and records the user's performance.

[0132] 6. Devices that provide feedback

[0133] The server periodically analyzes the user's performance data and generates growth feedback.

[0134] The device displays this feedback to the user and suggests the next goal, such as "Try using more diverse words next time."

[0135] 7. Servers that provide special device models

[0136] For users who win a contest or meet certain conditions, the server provides device models with special designs and features, such as specially designed smartphones.

[0137] This allows users to hone their language skills while having fun, and fosters sustained interest and a competitive spirit through the fair evaluation of generative AI. It also encourages user growth and allows users to feel a sense of accomplishment through the rap battle game.

[0138] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0139] Step 1:

[0140] Users use their smartphones or tablets to input their rap lines and questions.

[0141] Input: User text input (e.g., "No rhyme can beat you, my words are sharp and dynamite!").

[0142] Specific operation: The user enters content into the text input field on the terminal and presses the send button.

[0143] Step 2:

[0144] The terminal transmits the received text input to the server.

[0145] Input: User text input.

[0146] Data processing: Convert text input into JSON format.

[0147] Output: JSON data to send to the server.

[0148] Specific operation: The terminal application converts the text data into JSON format and sends a POST request to the server API over the Internet.

[0149] Step 3:

[0150] The server receives text input submitted by the user and generates a response using generative artificial intelligence.

[0151] Input: JSON data received from the terminal.

[0152] Data calculation: Input the received text into generative artificial intelligence to generate a response.

[0153] Output: Multiple generated responses.

[0154] Specific operation: The server analyzes the received JSON data, inputs the text into a generative artificial intelligence model such as "GPT-4" or "BERT," and each model generates a response.

[0155] Step 4:

[0156] The server evaluates the generated responses in terms of grammar, rhythm, and creativity.

[0157] Input: The multiple responses generated.

[0158] Data Calculation: Analyze responses and score each response for grammar, rhythm, and creativity.

[0159] Output: Scored responses.

[0160] Specific operation: The server analyzes the response text and calculates scores such as "Grammar score: 8 / 10", "Rhythm score: 7 / 10", "Creativity score: 9 / 10", etc.

[0161] Step 5:

[0162] The server determines the winner based on the evaluation results and transmits the result to the terminal.

[0163] Input: The scored response.

[0164] Data calculation: Calculate the overall score and determine winners and losers.

[0165] Output: Win / loss results and evaluation score.

[0166] Specific operation: The server calculates the overall score for each response, determines the winners and losers, converts the resulting data into JSON format, and sends it to the terminal.

[0167] Step 6:

[0168] The terminal displays the evaluation results and win / loss information sent from the server to the user.

[0169] Input: Win / loss results and evaluation scores received from the server.

[0170] Data processing: Converting received data into a user-friendly format.

[0171] Output: The message to display to the user.

[0172] Specific behavior: The terminal application parses the received JSON data and displays a message such as "You win! Your rhythm was perfect!"

[0173] Step 7:

[0174] The server saves the user's text input and the responses from the generative AI as a conversation log and records the user's performance.

[0175] Input: User text input and generative AI response.

[0176] Data calculation: The received data is stored in the database.

[0177] Output: Saved conversation logs and performance data.

[0178] Specific operation: The server records the user's input data and response data in a database.

[0179] Step 8:

[0180] The server periodically analyzes the user's performance and generates growth feedback.

[0181] Input: Saved conversation logs and performance data.

[0182] Data calculations: Analyze performance data and generate feedback.

[0183] Output: Feedback content.

[0184] Specific operation: The server retrieves performance data from the database, analyzes it, and generates feedback such as "Try using more diverse words next time."

[0185] Step 9:

[0186] The server provides special device models to users who meet certain conditions.

[0187] Input: User's grade data.

[0188] Data calculation: Determine whether a specific condition is met.

[0189] Output: Decision to offer special device model.

[0190] Specific operation: The server analyzes the performance data of the users and determines that the user who wins the contest will be provided with a special device model.

[0191] (Application example 1)

[0192] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0193] Conventional interfaces between factory robots and humans have limitations in the amount and accuracy of information they can convey when conveying instructions and reports, and lack the means to improve work efficiency or enhance the enjoyment of communication. This leads to problems such as a decline in work quality and a decrease in user motivation. In particular, conventional factory robot interfaces lack a communication method using rap-style natural language communication.

[0194] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0195] In this invention, the server includes means for receiving text input from a user, means for generating multiple responses to the text input using generative artificial intelligence, means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity, means for determining whether the user won or lost based on the evaluation, means for displaying the results of the win or loss to the user, means for saving a conversation log of the text input and the responses and recording the user's performance, means for providing feedback on the user's growth based on the performance, means for providing a special device model to a user who meets specific conditions, and means for using a factory robot to communicate in natural language using rap to provide work instructions and equipment status reports, thereby enabling effective and enjoyable communication within the factory.

[0196] User Input

[0197] These are text instructions or questions that users input to factory robots.

[0198] "Generative Artificial Intelligence"

[0199] is an artificial intelligence system for generating appropriate responses to user text input.

[0200] "Response Generation"

[0201] is the process by which generative artificial intelligence creates multiple responses to a user's text input.

[0202] "evaluation"

[0203] This involves analyzing and scoring the responses generated based on criteria such as grammar, rhythm, and creativity.

[0204] "Win / Loss Judgment"

[0205] This means comparing the assessed responses and determining which is better.

[0206] "Conversation Log"

[0207] is a data file that records user text input and responses from generative artificial intelligence.

[0208] "Results"

[0209] is a performance record that combines the user's past text input and response generation results, as well as their evaluation scores.

[0210] "Growth Feedback"

[0211] This refers to the provision of advice and next goals to users based on their performance.

[0212] "Special device models"

[0213] A device with a special design or function is offered to users who meet certain conditions.

[0214] "Factory Robot"

[0215] is an automated mechanical device designed to perform work in a factory.

[0216] "Natural Language Communication"

[0217] is a method of exchanging information using human language, including communication in rap format.

[0218] "Work instructions"

[0219] This means that a user commands a factory robot to perform a specific task.

[0220] "Device Status Report"

[0221] This means that factory robots report the current status of machines and any abnormalities to the user.

[0222] The system for implementing this invention realizes communication between factory robots and workers using natural language. This system is composed of a user (worker), a factory robot, and a server.

[0223] Hardware and Software Used

[0224] Hardware: Factory robots, servers with GPUs (e.g. NVIDIA GPUs)

[0225] Software: Python, Transformers library (Hugging Face)

[0226] Operation overview

[0227] The server receives work instructions and questions entered by the user in text form and processes them using generative artificial intelligence (GPT-2 model). The generated responses are executed by factory robots, and the results are fed back to the user.

[0228] The specific operation steps are as follows:

[0229] 1. User input:

[0230] Users input work instructions and questions to factory robots in text format through a terminal, such as "The machine has stopped. What's the cause?"

[0231] 2. Sending text input:

[0232] The terminal transmits the entered text to the server.

[0233] 3. Response generation using generative artificial intelligence:

[0234] The server uses generative artificial intelligence (GPT-2 model) to generate multiple rap-style responses based on the received text input, such as "There may be something wrong with the sensor, check it immediately."

[0235] 4. Response Assessment:

[0236] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score, which determines the winner.

[0237] 5. Sending and viewing results:

[0238] The server sends the evaluation results and winning / losing information to the terminal, which then displays the received results to the user, displaying messages such as "You won" or "The quality of your rhyme was excellent."

[0239] 6. Save conversation logs and record grades:

[0240] The server logs the text inputs and responses and records the user's performance, allowing it to analyze the user's progress and provide feedback.

[0241] 7. Special device model offers:

[0242] Users who meet certain conditions (e.g., win a contest) are provided with device models with special functions and designs by the server.

[0243] Examples of concrete examples and prompts

[0244] For example, if a user inputs "The machine has stopped. What's the cause?", the generative AI will respond with "There may be an abnormality in the sensor. Check it immediately." Based on this response, the server will make an evaluation and provide feedback to the user.

[0245] Example prompt sentence:

[0246] User input: "My machine stopped working, what's causing this?"

[0247] AI response: "There may be a sensor malfunction, check it immediately."

[0248] In this way, the present invention realizes enjoyable and natural communication between factory robots and workers, thereby improving work efficiency and motivation.

[0249] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0250] Step 1:

[0251] Users input work instructions and questions to factory robots in text format via a terminal.

[0252] Input: User text instructions or questions

[0253] Output: Text data sent by the terminal to the server

[0254] How it works: The device gets the user's input and sends it to the server.

[0255] Step 2:

[0256] The server uses generative artificial intelligence (GPT-2 model) to generate multiple rap-style responses based on the received text input.

[0257] Input: Text input from users arriving at the server

[0258] Output: The generated wrapped text response

[0259] How it works: The server initializes the GPT-2 model, creates prompts to generate rap-style responses based on the input text data, feeds them to the model, and processes the model's output to generate a response.

[0260] Step 3:

[0261] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score.

[0262] Input: The generated wrapped response

[0263] Output: Scores based on each criterion

[0264] How it works: The server evaluates the generated responses using an evaluation algorithm to calculate scores for grammar, rhythm, and creativity.

[0265] Step 4:

[0266] The server determines the winner based on the evaluation.

[0267] Input: Evaluation result score

[0268] Output: Winner determination result

[0269] How it works: The server runs an algorithm that compares the user's and the AI's scores and determines who wins.

[0270] Step 5:

[0271] The server transmits the evaluation results and winning / losing information to the terminal.

[0272] Input: Win / Loss Judgment Result

[0273] Output: Evaluation results and winning / losing information sent to the device

[0274] Operation: The server composes the evaluation results and winning / losing information in text format and sends them to the terminal.

[0275] Step 6:

[0276] The terminal displays the received results to the user.

[0277] Input: Evaluation results and win / loss information from the server

[0278] Output: A user-visible result display

[0279] How it works: The device analyzes the received data and displays evaluation results, feedback, and win / loss information in a user-friendly format.

[0280] Step 7:

[0281] The server stores the text inputs and responses as a conversation log and records the user's performance.

[0282] Input: User text input and generated responses

[0283] Output: Saved conversation logs and performance data

[0284] How it works: The server stores text inputs and responses in a database and analyzes and records the user's performance.

[0285] Step 8:

[0286] The server offers special device models to users who meet certain conditions.

[0287] Input: User's grade data

[0288] Output: Specific device model information

[0289] How it works: The server analyzes user performance data and notifies users who meet certain conditions to provide them with special device models.

[0290] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0291] This invention combines an emotion engine with a training-type rap battle game system for elementary school students to generate appropriate responses based on the user's emotions and provide more personalized growth feedback. This system uses generative artificial intelligence and an emotion engine to generate responses to the user's text input, and by evaluating and judging the content of those responses, users can hone their language skills while having fun.

[0292] The system includes the following components:

[0293] 1. A device that captures user text input:

[0294] Users enter their rap lines and questions into the terminal.

[0295] The terminal captures the user's text input and sends the data to the server.

[0296] 2. Servers using generative artificial intelligence:

[0297] The server receives text input submitted by a user and generates a response to the input using a plurality of generative artificial intelligence chatbots.

[0298] The server temporarily stores the generated responses and prepares to evaluate them.

[0299] 3. Emotion Recognition with Emotion Engine:

[0300] The server utilizes an emotion engine to recognize emotions from the user's text input.

[0301] The server adjusts the generative AI's response based on the recognized emotion data.

[0302] 4. Server that parses and evaluates the response:

[0303] The server analyzes each generated response, checking grammar, rhythm, and creativity.

[0304] The server scores the responses based on each criterion and calculates an overall score.

[0305] 5. Judgment of Winners and Losers:

[0306] The server determines the winner between the user and the generative artificial intelligence based on the calculated total score.

[0307] The server transmits the result of the game and the evaluation points to the terminal.

[0308] 6. Displaying the results:

[0309] The terminal displays the results of the game and the evaluation points received from the server to the user. For example, it displays messages such as "You won" or "The quality of your rhyme was excellent."

[0310] The user checks his / her own score and the other person's response.

[0311] 7. Conversation Log and Record of Performance:

[0312] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[0313] The server records the user's performance and prepares to reflect the user's progress in the next match.

[0314] 8. Providing growth feedback:

[0315] The server generates feedback on the user's progress based on their past performance and the recognition results of the emotion engine, providing advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[0316] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[0317] 9. Special device model offers:

[0318] The server processes the provision of a special device model when the user meets a specific condition, such as winning a contest.

[0319] Users will receive this special device and be able to take on more advanced rap battles.

[0320] Program specific examples and processing

[0321] 1. Getting and sending user input:

[0322] A user inputs his / her rap into the system through a terminal. For example, when a user inputs "my rap line," the terminal receives the input and transmits it to the server.

[0323] 2. Response generation using generative artificial intelligence:

[0324] The server uses generative artificial intelligence to generate multiple responses based on the text input received from the user. For example, "AI Chatbot 1," "AI Chatbot 2," etc. each generate a different response.

[0325] 3. Emotion Recognition with Emotion Engine:

[0326] The server uses an emotion engine to recognize emotions from the user's text input, for example, analyzing whether the user is expressing "anger" or "joy."

[0327] 4. Adjusting the response:

[0328] The server adjusts the response of the generative AI based on the output of the emotion engine. For example, if the user expresses anger, it selects a response that will alleviate that emotion.

[0329] 5. Evaluating responses and determining winners:

[0330] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, assigning each a score, and also considers the user's emotions to calculate an overall score to determine the winner.

[0331] 6. Results display and feedback:

[0332] The terminal displays the evaluation results and the results of the game received from the server to the user, and also provides feedback including the results of analysis by the emotion engine.

[0333] 7. Recording of performance and providing special models:

[0334] The server records users' match results and evaluation scores in a database and provides special device models to users who meet certain conditions.

[0335] As described above, the system of the present invention allows users to hone their linguistic skills and creativity through rap battles while providing a personalized experience that takes emotions into consideration. Furthermore, the combination of generative AI and an emotion engine provides fairer and more effective feedback, promoting sustained interest and learning.

[0336] The processing flow will be explained below.

[0337] Step 1: Getting User Input

[0338] The terminal receives text input from the user, such as a rap line or a question, and the user enters the rap using the terminal's interface.

[0339] The terminal temporarily stores the acquired text input data and prepares to send it to the server.

[0340] Step 2: Send text input to the server

[0341] The terminal sends the user's input data, including the user ID and text content, to the server.

[0342] The server verifies the user's text input received from the terminal and begins the parsing process.

[0343] Step 3: Emotion recognition by the emotion engine

[0344] The server uses an emotion engine to recognize emotions from the user's text input, for example, analyzing whether the user's input contains "anger" or "joy."

[0345] The server stores the recognized emotion data and reflects it in the response generation of the generative artificial intelligence.

[0346] Step 4: Generative AI response generation

[0347] Based on the results of the emotion engine, the server passes the user's text input to a generative AI system, which generates multiple responses. For example, if the user's emotion is "anger," it generates a response that alleviates the emotion.

[0348] The server temporarily stores the generated responses, ready to be evaluated next.

[0349] Step 5: Analyze and evaluate the response

[0350] The server analyzes each generated response, specifically checking grammar, rhythm, and creativity.

[0351] The server scores the responses based on each criterion and calculates an overall score.

[0352] Step 6: Determining the Winner

[0353] The server determines the winner between the user and the generative AI based on the calculated total score, and determines the winner and the reason for the result.

[0354] The server transmits the result of the game and the evaluation points to the terminal.

[0355] Step 7: View the results

[0356] The terminal displays the winning / losing result and each evaluation point received from the server to the user, for example, displaying a message such as "You won" or "The quality of your rhyme was excellent."

[0357] The user checks his / her own score and the other person's response.

[0358] Step 8: Log your conversations and record your grades

[0359] The server stores the user's text input and the responses from the generative AI as a conversation log, which records the history of the match.

[0360] The server records the user's performance and periodically analyzes it to generate growth feedback.

[0361] Step 9: Provide growth feedback

[0362] The server generates feedback on the user's progress based on their past performance and the recognition results of the emotion engine, providing specific advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[0363] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[0364] Step 10: Provide a special device model

[0365] The server processes the provision of a special device model when the user meets a specific condition, such as winning a contest.

[0366] The server prepares a special device model, notifies the user, and sends it.

[0367] Users will receive this special device and be able to take on more advanced rap battles.

[0368] The above is the specific processing flow of the system of the present invention. This system allows users to improve their linguistic skills and creativity while having fun. Furthermore, the introduction of an emotion engine allows for more personalized feedback and promotion of growth.

[0369] Example 2

[0370] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0371] Conventional rap battle game systems have the problem that the responses generated in response to a user's text input are fixed and cannot provide personalized feedback that takes into account the user's emotions. This limits the opportunities for users to effectively improve their rap skills and makes it difficult to maintain interest. Furthermore, the evaluation criteria for text input and responses are unclear, which can lead to unfair judgment of victory or defeat.

[0372] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0373] In this invention, the server includes means for acquiring a user's text input, means for generating multiple responses to the text input using a generative artificial intelligence, means for recognizing the user's emotion in response to the text input, means for adjusting the responses of the generative artificial intelligence based on the recognized emotion, means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity, means for determining whether the user wins or loses based on the evaluation, means for displaying the results of the win or loss to the user, means for saving a conversation log of the text input and the responses and recording the user's performance, means for providing feedback on the user's growth based on the performance, and means for providing a special device model to a user who meets certain conditions. This makes it possible to provide personalized feedback according to the user's emotions and determine whether the user wins or loses based on fair and clear evaluation criteria.

[0374] "User text input" refers to text data such as rap lines and questions that a user inputs via a terminal.

[0375] "Generative AI" is an AI model that has the ability to generate responses in natural language based on user text input.

[0376] A "response" is a reply message that the generative artificial intelligence generates in response to a user's text input.

[0377] An "emotion engine" is a system that has the ability to recognize emotions from user text input.

[0378] "Grammar, rhythm, and creativity" are items used as evaluation criteria for the responses generated, and are indicators for evaluating the accuracy and originality of the responses.

[0379] "Winning and losing determination" is the process of comparing the responses of the user and the generative AI based on evaluation criteria to determine which is better.

[0380] A "conversation log" is data that records the user's text input and the generative artificial intelligence's responses.

[0381] "Feedback" is the process of providing information based on a user's past performance that will help them improve and set goals for the next time.

[0382] A "special device model" is a device with special functions or designs that is provided to users who meet certain conditions.

[0383] The present invention combines generative artificial intelligence and an emotion engine in a training-type rap battle game system for elementary school students to generate appropriate responses according to the user's emotions and provide more personalized growth feedback. Specific embodiments for carrying out the present invention are described below.

[0384] 1. System Overview

[0385] This system is a training-type rap battle game system that allows users to hone their verbal skills and experience growth while having fun. This system uses generative artificial intelligence and an emotion engine to generate responses to the user's text input, and evaluates and judges the content of those responses.

[0386] 2. Hardware and Software Used

[0387] Terminal: A device that accepts text input by a user, such as a smartphone, tablet, or PC.

[0388] Server: A computer system that receives user input and generates and evaluates responses using generative artificial intelligence or emotion engines. Specifically, this includes cloud servers and dedicated servers.

[0389] Generative artificial intelligence models: Use large-scale language models such as OpenAI's GPT-4.

[0390] Emotion engine: Uses Azure Cognitive Services' emotion recognition API, etc.

[0391] 3. Detailed System Processing

[0392] Getting and Sending User Input

[0393] Users can input their rap lines and questions in text format through the device. For example, if a user types, "Today I'm going to write the best rap ever!", the device temporarily stores this data and sends it to the server.

[0394] Response generation using generative artificial intelligence

[0395] The server converts the received user input into a prompt and sends it to the generative AI. For example, it generates a prompt such as, "The user is expressing their enthusiasm to create the best rap. Please generate the optimal response to this." The generated responses are, "Your enthusiasm is great. Don't forget the rhythm, and keep going!" or "Show us your best rap and surprise everyone!"

[0396] Emotion recognition by emotion engine

[0397] The server uses an emotion engine to perform emotion analysis based on the user's text input. For example, it identifies whether the user's text contains emotions such as "anger" or "joy." This is done using the emotion recognition API from Azure Cognitive Services.

[0398] Adjusting and evaluating responses

[0399] The generative AI's response is adjusted based on the recognized emotion. For example, if the user expresses the emotion of "anger," the server selects a response that will alleviate that emotion. The server then evaluates the generated response in terms of grammar, rhythm, and creativity. Natural language processing tools used include NLTK and spaCy.

[0400] Judging and displaying the results

[0401] Based on the evaluation, the server determines whether the user or the generative AI has won or lost. The results of the win / loss and the evaluation points are sent to the device, which then displays them to the user. For example, messages such as "You won!" or "Pay more attention to your sense of rhythm" are displayed.

[0402] Conversation log and grade record

[0403] The server stores the user's text input and the responses from the generative AI as a conversation log. MySQL or PostgreSQL is used as the database management system. The server also records the user's performance and uses it for growth feedback.

[0404] 4. Feedback and special device model submissions

[0405] The server generates feedback to promote growth based on the user's past performance and the recognition results of the emotion engine. For example, it may provide advice such as "Pay more attention to rhythm." Furthermore, if a user meets certain conditions (e.g., wins a contest), the server will provide a special device model.

[0406] As described above, the present invention is a system that combines generative artificial intelligence and an emotion engine to provide personalized responses and feedback according to the user's emotions, allowing users to hone their verbal skills and creativity through rap battles.

[0407] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0408] Step 1:

[0409] The user inputs their rap line or question into the device. For example, if they input "Today I'm going to give you the best rap ever!", the user's input data is temporarily stored on the device. This input data is then ready to be sent to the server in the next step.

[0410] Step 2:

[0411] The terminal receives user input data and sends it to the server using the appropriate protocol (e.g., HTTP request in JSON format). An internet connection is required. The input is the user's text data, and the output is the data sent to the server.

[0412] Step 3:

[0413] The server receives text data sent by the user and converts it into a prompt to be sent to the generative AI model. For example, it generates a prompt such as, "The user is expressing their enthusiasm for the best lap. Please generate the optimal response to this." The input is the user's text data, and the output is the prompt.

[0414] Step 4:

[0415] The server uses generative artificial intelligence (e.g., a large-scale language model) to generate multiple responses based on the prompt. For example, responses such as "Your enthusiasm is great! Don't forget the rhythm, let's keep going!" or "Let's surprise everyone with our best rap!" are generated. The input is the prompt, and the output is the multiple generated responses.

[0416] Step 5:

[0417] The server uses an emotion engine based on the generated responses to recognize emotions from the user's original text. For example, it uses an emotion recognition API to analyze whether the user's text contains emotions such as "anger" or "joy." The input is the user's text data, and the output is the recognized emotion data.

[0418] Step 6:

[0419] The server adjusts the generative AI's response based on the recognized emotion data. For example, if the user's emotion is "anger," it selects a response that will alleviate that emotion. The input is emotion data and multiple responses, and the output is the adjusted response.

[0420] Step 7:

[0421] The server analyzes the tailored responses and evaluates them in terms of grammar, rhythm, and creativity using natural language processing tools, such as NLTK and spaCy, to measure and score the responses' grammatical accuracy, rhythm, and creativity. The input is the tailored responses, and the output is the evaluation score.

[0422] Step 8:

[0423] The server determines the outcome of the game between the user and the AI ​​based on the evaluation score. For example, it compares the scores of the user and the AI ​​to determine which is better. The input is the evaluation score, and the output is the outcome of the game.

[0424] Step 9:

[0425] The server sends the result of the game and the evaluation points together to the terminal as an HTTP response. The input is the result of the game and the evaluation points, and the output is the transmitted data.

[0426] Step 10:

[0427] The terminal displays the received winning / losing result and evaluation points to the user. For example, it may display messages such as "You win!" or "Pay more attention to your sense of rhythm." The input is the winning / losing result and evaluation points, and the output is the displayed message.

[0428] Step 11:

[0429] The server saves the user's text input and the responses generated by the generative AI as a conversation log, and records the user's grades in a database, for example, using MySQL or PostgreSQL. The input is the text input, responses, and evaluation score, and the output is the saved log and grades.

[0430] Step 12:

[0431] The server generates specific growth feedback based on the user's past performance and the recognition results of the emotion engine, and sends it to the device. For example, advice such as "Pay more attention to rhythm" is provided. The input is past performance and emotion data, and the output is the generated feedback message.

[0432] Step 13:

[0433] The server performs a procedure to provide a special device model to a user who meets a specific condition (e.g., wins a contest). The input is the user's performance, and the output is the special device model.

[0434] (Application example 2)

[0435] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0436] Conventional virtual stores lacked personalized product suggestions that took user emotions into consideration, making it difficult for users to achieve consistent satisfaction. Furthermore, the quality of suggestions was uniform, and specific feedback that took into account users' emotions and past behavioral history was not provided. As a result, improvements to the customer experience and continuous customer engagement were lacking.

[0437] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0438] In this invention, the server includes means for acquiring a text input or a voice input from a user, means for generating a plurality of responses to the text input or the voice input using generative artificial intelligence, means for utilizing an emotion engine for recognizing emotions from the user's text input or the voice input, and means for adjusting the plurality of responses based on emotion data recognized by the emotion engine, thereby making it possible to provide personalized product suggestions and appropriate feedback based on emotions to the user.

[0439] "User input" refers to information that a user inputs as text or voice via a device such as a smartphone or smart glasses.

[0440] "Generative artificial intelligence" is a general term for artificial intelligence that automatically generates appropriate responses and suggestions to user input based on pre-trained data.

[0441] An "emotion engine" is software or algorithms that analyze and recognize emotions and moods from user input such as text or voice.

[0442] "Response adjustment" refers to the process of re-adjusting the generated response to an optimal form based on the user's emotional data, past behavioral history, etc.

[0443] "Product suggestions" are recommendations that aim to introduce appropriate products to users, taking into consideration their input information and emotional data.

[0444] "Personalized suggestions" are suggestions that are optimized for each individual user based on their individual preferences, emotions, past behavioral history, etc.

[0445] "Emotion data" refers to data obtained as a result of analyzing and recognizing a user's emotions and moods.

[0446] A "conversation log" is a record of the dialogue between the user and the system, and is used for later analysis and feedback.

[0447] "Score Recording" refers to storing in a database an assessment of a user's performance based on their activities and responses.

[0448] The present invention provides a system that provides an "AI personal shopping assistant" for virtual stores that makes personalized product recommendations based on the user's emotions. This system is realized through the following steps:

[0449] Getting User Input

[0450] Users can use their smartphones or smart glasses to make shopping inquiries by text or voice input. For example, a user might say, "What clothes do you recommend for fall?"

[0451] emotion recognition

[0452] The server receives the user's text or voice input and uses an emotion engine to analyze the user's emotions, for example, whether the user's input expresses emotions such as "joy" or "excitement."

[0453] Generating a response

[0454] The server sends the user's input to a generative artificial intelligence (AI model) that generates multiple responses, which are automatically generated based on the user's request.

[0455] Response adjustment

[0456] Based on the emotional data recognized by the emotion engine, the server adjusts the generated responses, for example, filtering the responses to suggest particularly salient products if the user expresses "excitement."

[0457] View Suggestions

[0458] The terminal displays the product suggestions received from the server to the user. For example, the terminal may display a message saying, "We have some highly recommended items for you!"

[0459] Recording and feedback

[0460] The server stores the user's conversation log and emotional data, and records the results based on the results. This allows for feedback based on the user's past behavioral history and emotional data.

[0461] Providing special devices

[0462] Users who meet certain conditions will be offered special devices and offers. For example, users who have consistently received high ratings over a long period of time will be offered special discount codes and exclusive items.

[0463] Hardware and software used

[0464] Hardware: Smartphones, smart glasses

[0465] Software: Emotion engine, generative artificial intelligence (AI model)

[0466] Examples and prompts

[0467] Specific examples

[0468] User types "I want a warm jacket to wear in the fall"

[0469] The system recognizes the emotion about "warm jacket" as "enjoyment."

[0470] Suggestion: "I have a particularly recommended warm jacket! Check it out here."

[0471] Prompt statement

[0472] User Submitted: "I want a warm jacket to wear in the fall."

[0473] Generative AI model prompt: "Product suggestions based on user request: I want a warm jacket to wear in the fall."

[0474] As described above, the present invention is a system that combines emotion recognition and generative AI models to provide personalized shopping suggestions based on the user's emotions, thereby enabling users to have a more satisfying shopping experience.

[0475] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0476] Step 1:

[0477] A user uses a smartphone or smart glasses to input shopping-related text or voice input. For example, the user might input, "Tell me what clothes you recommend for fall." This input becomes the initial input data for the system.

[0478] Step 2:

[0479] The device receives text or voice input from the user and sends the data to the server. The received input data contains the user's request. Sending the data to the server initiates the next step of the process.

[0480] Step 3:

[0481] The server analyzes the text or voice input data received from the user. It then uses an emotion engine to recognize the user's emotions. For example, it analyzes emotions such as "joy" or "sadness" from the input data and generates emotion data. This is the process of emotion recognition based on input data.

[0482] Step 4:

[0483] The server begins generating responses using the emotion data recognized by the emotion engine. It uses a generative artificial intelligence (AI model) to automatically generate multiple responses based on the user's request. Specifically, it inputs a prompt statement (e.g., "I want a warm jacket to wear in the fall") into the generative AI model, which then generates various product suggestions.

[0484] Step 5:

[0485] The server adjusts the generated responses based on the emotional data. For example, if the user is "excited," it prioritizes the most salient suggestions that match that emotion. This adjustment process results in the most appropriate suggestion being selected.

[0486] Step 6:

[0487] The server sends the adjusted response to the device, which then displays the sent suggestions to the user. For example, the device might display "We have some highly recommended items for you!" and provide specific product information.

[0488] Step 7:

[0489] The server stores the conversation log and the results of the suggestions made with the user in a database. This data includes the user's emotional data and the user's request history. This step records the user's performance and the evaluation of the suggestions.

[0490] Step 8:

[0491] The server generates user growth feedback based on the recorded data. For example, it generates a comment such as "You tend to like particularly creative suggestions" as feedback for a user who selected highly rated suggestions during a specific period.

[0492] Step 9:

[0493] The server provides special devices and offers to users who meet certain conditions. For example, users who have received high ratings over a long period of time can receive special discount codes or exclusive items. This keeps users engaged and satisfied.

[0494] Through the above processing steps, the present invention specifically realizes a system that provides personalized shopping suggestions based on the user's emotions.

[0495] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0496] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0497] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0498] [Second embodiment]

[0499] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0500] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0501] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0502] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0503] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0504] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0505] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0506] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0507] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0508] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0509] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0510] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0511] This invention relates to a training-type rap battle game system for elementary school students. This system uses generative artificial intelligence to generate appropriate responses to users' text input, and evaluates and judges the content of those responses, allowing users to hone their language skills while having fun.

[0512] The system includes the following components:

[0513] 1. A device that captures user text input:

[0514] Users enter their rap lines and questions into the terminal.

[0515] The terminal captures the user's text input and sends the data to the server.

[0516] 2. Servers using generative artificial intelligence:

[0517] The server receives text input submitted by a user and generates a response to the input using a plurality of generative artificial intelligence chatbots.

[0518] The server returns the generated responses to the terminal.

[0519] 3. Server that parses and evaluates the response:

[0520] The server analyzes the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score.

[0521] The server determines the winner based on these evaluations and transmits the result to the terminal.

[0522] 4. Device to view results:

[0523] The terminal displays the evaluation results and winner information received from the server to the user.

[0524] Users can check their own scores and the responses of others.

[0525] 5. Server that records conversation logs and results:

[0526] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[0527] The server records the user's performance and periodically analyzes it to generate growth feedback.

[0528] 6. Devices that provide feedback to users:

[0529] The server generates growth feedback and transmits the content to the terminal.

[0530] The device displays this feedback to the user, suggesting the next goal.

[0531] 7. Servers that provide special device models:

[0532] For users who win a contest or meet certain conditions, the server provides device models with special designs and functions.

[0533] Users can enjoy more advanced rap battles using this special device.

[0534] Program specific examples and processing

[0535] 1. Getting and sending user input:

[0536] A user inputs his / her rap into the system through a terminal. For example, when a user inputs "my rap line," the terminal receives the input and transmits it to the server.

[0537] 2. Response generation using generative artificial intelligence:

[0538] The server uses generative artificial intelligence to generate multiple responses based on the text input received from the user. For example, "AI Chatbot 1," "AI Chatbot 2," etc. each generate a different response.

[0539] 3. Evaluating responses and determining winners:

[0540] The server evaluates the generated responses in terms of grammar, rhythm, creativity, etc., and assigns a score to each one. Based on the evaluated scores, the server determines the winner and sends the result to the terminal.

[0541] 4. Results display and feedback:

[0542] The device displays the results received from the server to the user, such as "You won" or "Your rhyme was great." Additionally, the device displays feedback generated by the server, allowing the user to see where they need to improve and where they have grown.

[0543] 5. Recording of performance and providing special models:

[0544] The server records past battle results and evaluation scores in a database to track users' performance, and users who win contests will be given special device models.

[0545] As described above, the system of the present invention allows users to hone their linguistic skills and creativity through rap battles, while having fun and experiencing growth. Furthermore, the fair evaluation of generative AI can stimulate sustained interest and competitive spirit.

[0546] The processing flow will be explained below.

[0547] Step 1: Getting User Input

[0548] The device receives text input, such as rap lines or questions, from the user by the user typing the text into the device's interface.

[0549] The terminal temporarily stores the acquired text input data and prepares it for subsequent transmission to the server.

[0550] Step 2: Send text input to the server

[0551] The terminal sends the user's input data to the server, including the user ID and text content.

[0552] The server verifies the user's text input received from the terminal and begins the parsing process.

[0553] Step 3: Generative AI generates a response

[0554] The server receives the user's text input and passes it to a generative artificial intelligence to generate multiple responses.

[0555] The server temporarily stores the generated responses and prepares to evaluate them.

[0556] Step 4: Analyze and evaluate the response

[0557] The server analyzes each generated response, checking grammar, rhythm, and creativity.

[0558] The server scores the responses based on each criterion and calculates an overall score.

[0559] Step 5: Determining the Winner

[0560] The server determines the winner between the user and the generative artificial intelligence based on the calculated total score.

[0561] The server transmits the result of the game and the evaluation points to the terminal.

[0562] Step 6: View the results

[0563] The terminal displays the results of the game and the evaluation points sent from the server to the user. For example, it displays messages such as "You won" or "The quality of your rhyme was excellent."

[0564] The user checks his / her own score and the other person's response.

[0565] Step 7: Log your conversations and record your grades

[0566] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[0567] The server records the user's performance and prepares to reflect the user's progress in the next match.

[0568] Step 8: Provide growth feedback

[0569] The server generates feedback on the user's progress based on their past performance, offering specific advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[0570] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[0571] Step 9: Provide a special device model

[0572] The server processes the provision of a special device model when a user meets certain conditions, such as winning a contest.

[0573] Users will receive this special device and be able to take on more advanced rap battles.

[0574] Example 1

[0575] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0576] In conventional rap battle game systems, generating responses and evaluating user inputs is often done manually, making it difficult to provide fast and fair evaluations. Furthermore, they lacked features such as providing appropriate feedback and special devices to promote user growth. As a result, it was difficult to maintain user motivation.

[0577] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0578] In this invention, the server includes a means for receiving text input from a user, a means for generating multiple responses to the text input using generative artificial intelligence, and a means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity. This allows for fast and fair evaluation. Furthermore, by including a means for determining victory or defeat based on the evaluation results, a means for displaying the results to the user, a means for providing feedback, and a means for providing special device models to users who meet certain conditions, it is possible to maintain user motivation and promote growth.

[0579] "User" refers to an individual who uses the system to participate in rap battles and enter text, etc.

[0580] "Text input" refers to text data such as rap lines or questions that a user inputs into the system through a terminal.

[0581] "Generative AI" refers to AI technology that automatically generates responses based on user text input.

[0582] "Response" refers to text data generated by a generative artificial intelligence in response to a user's text input.

[0583] "Evaluation" refers to the act of analyzing the responses generated by generative AI in terms of grammar, rhythm, and creativity, and assigning them a score.

[0584] "Winning and Losing Determination" refers to the process of determining the winners and losers of a rap battle based on evaluation.

[0585] "Terminal" refers to the device used by a user to access the system and enter text, including, for example, a smartphone or tablet.

[0586] "Server" refers to a central processing unit that uses generative artificial intelligence to generate responses, evaluates and determines winners and losers, and provides the results to the user.

[0587] "Conversation log" refers to data that records user text input and responses generated by generative artificial intelligence.

[0588] "Results" refers to the evaluation score and win / loss history obtained by the user in the rap battle.

[0589] "Feedback" refers to information that suggests next goals and areas for improvement based on the user's performance.

[0590] "Special Device Model" refers to a device with a special design or functionality that is offered to users who win a contest or meet certain conditions.

[0591] In the rap battle game system of the present invention, users input their own rap lines and questions as text, and a generative AI system generates automatic responses, which are then evaluated to determine the winner. This system allows users to have fun while improving their verbal skills and creativity.

[0592] The system includes the following main components:

[0593] 1. A device that captures user text input

[0594] Users use devices such as smartphones and tablets to input their rap lines and questions.

[0595] The device receives the text input and sends it to the server. For example, a user might type, "No rhyme can beat you, my words are sharp and dynamite!"

[0596] 2. Servers that use generative artificial intelligence

[0597] The server receives text input submitted by the user.

[0598] The server uses generative AI such as GPT-4 and BERT to generate multiple responses. For example, GPT-4 might generate "Your words are strong, but my rap will get you off," while BERT might generate "Your words are dandy, but my rap is even more kandy."

[0599] 3. Server that analyzes and evaluates the response

[0600] The server analyzes the generated responses in terms of grammar, rhythm, and creativity, and assigns a score to each response, for example, "Grammar score: 8 / 10," "Rhythm score: 7 / 10," and "Creativity score: 9 / 10."

[0601] 4. A device that determines the winner and displays the results

[0602] The server determines the winner based on the evaluation results and transmits the result to the terminal.

[0603] The terminal displays the evaluation results and winner information received from the server to the user. For example, a message such as "You win! Your rhythm was perfect!" may be displayed.

[0604] 5. Server that records conversation logs and scores

[0605] The server saves the user's text input and the responses from the generative AI as a conversation log and records the user's performance.

[0606] 6. Devices that provide feedback

[0607] The server periodically analyzes the user's performance data and generates growth feedback.

[0608] The device displays this feedback to the user and suggests the next goal, such as "Try using more diverse words next time."

[0609] 7. Servers that provide special device models

[0610] For users who win a contest or meet certain conditions, the server provides device models with special designs and features, such as specially designed smartphones.

[0611] This allows users to hone their language skills while having fun, and fosters sustained interest and a competitive spirit through the fair evaluation of generative AI. It also encourages user growth and allows users to feel a sense of accomplishment through the rap battle game.

[0612] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0613] Step 1:

[0614] Users use their smartphones or tablets to input their rap lines and questions.

[0615] Input: User text input (e.g., "No rhyme can beat you, my words are sharp and dynamite!").

[0616] Specific operation: The user enters content into the text input field on the terminal and presses the send button.

[0617] Step 2:

[0618] The terminal transmits the received text input to the server.

[0619] Input: User text input.

[0620] Data processing: Convert text input into JSON format.

[0621] Output: JSON data to send to the server.

[0622] Specific operation: The terminal application converts the text data into JSON format and sends a POST request to the server API over the Internet.

[0623] Step 3:

[0624] The server receives text input submitted by the user and generates a response using generative artificial intelligence.

[0625] Input: JSON data received from the terminal.

[0626] Data calculation: Input the received text into generative artificial intelligence to generate a response.

[0627] Output: Multiple generated responses.

[0628] Specific operation: The server analyzes the received JSON data, inputs the text into a generative artificial intelligence model such as "GPT-4" or "BERT," and each model generates a response.

[0629] Step 4:

[0630] The server evaluates the generated responses in terms of grammar, rhythm, and creativity.

[0631] Input: The multiple responses generated.

[0632] Data Calculation: Analyze responses and score each response for grammar, rhythm, and creativity.

[0633] Output: Scored responses.

[0634] Specific operation: The server analyzes the response text and calculates scores such as "Grammar score: 8 / 10", "Rhythm score: 7 / 10", "Creativity score: 9 / 10", etc.

[0635] Step 5:

[0636] The server determines the winner based on the evaluation results and transmits the result to the terminal.

[0637] Input: The scored response.

[0638] Data calculation: Calculate the overall score and determine winners and losers.

[0639] Output: Win / loss results and evaluation score.

[0640] Specific operation: The server calculates the overall score for each response, determines the winners and losers, converts the resulting data into JSON format, and sends it to the terminal.

[0641] Step 6:

[0642] The terminal displays the evaluation results and win / loss information sent from the server to the user.

[0643] Input: Win / loss results and evaluation scores received from the server.

[0644] Data processing: Converting received data into a user-friendly format.

[0645] Output: The message to display to the user.

[0646] Specific behavior: The terminal application parses the received JSON data and displays a message such as "You win! Your rhythm was perfect!"

[0647] Step 7:

[0648] The server saves the user's text input and the responses from the generative AI as a conversation log and records the user's performance.

[0649] Input: User text input and generative AI response.

[0650] Data calculation: The received data is stored in the database.

[0651] Output: Saved conversation logs and performance data.

[0652] Specific operation: The server records the user's input data and response data in a database.

[0653] Step 8:

[0654] The server periodically analyzes the user's performance and generates growth feedback.

[0655] Input: Saved conversation logs and performance data.

[0656] Data calculations: Analyze performance data and generate feedback.

[0657] Output: Feedback content.

[0658] Specific operation: The server retrieves performance data from the database, analyzes it, and generates feedback such as "Try using more diverse words next time."

[0659] Step 9:

[0660] The server provides special device models to users who meet certain conditions.

[0661] Input: User's grade data.

[0662] Data calculation: Determine whether a specific condition is met.

[0663] Output: Decision to offer special device model.

[0664] Specific operation: The server analyzes the performance data of the users and determines that the user who wins the contest will be provided with a special device model.

[0665] (Application example 1)

[0666] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0667] Conventional interfaces between factory robots and humans have limitations in the amount and accuracy of information they can convey when conveying instructions and reports, and lack the means to improve work efficiency or enhance the enjoyment of communication. This leads to problems such as a decline in work quality and a decrease in user motivation. In particular, conventional factory robot interfaces lack a communication method using rap-style natural language communication.

[0668] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0669] In this invention, the server includes means for receiving text input from a user, means for generating multiple responses to the text input using generative artificial intelligence, means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity, means for determining whether the user won or lost based on the evaluation, means for displaying the results of the win or loss to the user, means for saving a conversation log of the text input and the responses and recording the user's performance, means for providing feedback on the user's growth based on the performance, means for providing a special device model to a user who meets specific conditions, and means for using a factory robot to communicate in natural language using rap to provide work instructions and equipment status reports, thereby enabling effective and enjoyable communication within the factory.

[0670] User Input

[0671] These are text instructions or questions that users input to factory robots.

[0672] "Generative Artificial Intelligence"

[0673] is an artificial intelligence system for generating appropriate responses to user text input.

[0674] "Response Generation"

[0675] is the process by which generative artificial intelligence creates multiple responses to a user's text input.

[0676] "evaluation"

[0677] This involves analyzing and scoring the responses generated based on criteria such as grammar, rhythm, and creativity.

[0678] "Win / Loss Judgment"

[0679] This means comparing the assessed responses and determining which is better.

[0680] "Conversation Log"

[0681] is a data file that records user text input and responses from generative artificial intelligence.

[0682] "Results"

[0683] is a performance record that combines the user's past text input and response generation results, as well as their evaluation scores.

[0684] "Growth Feedback"

[0685] This refers to the provision of advice and next goals to users based on their performance.

[0686] "Special device models"

[0687] A device with a special design or function is offered to users who meet certain conditions.

[0688] "Factory Robot"

[0689] is an automated mechanical device designed to perform work in a factory.

[0690] "Natural Language Communication"

[0691] is a method of exchanging information using human language, including communication in rap format.

[0692] "Work instructions"

[0693] This means that a user commands a factory robot to perform a specific task.

[0694] "Device Status Report"

[0695] This means that factory robots report the current status of machines and any abnormalities to the user.

[0696] The system for implementing this invention realizes communication between factory robots and workers using natural language. This system is composed of a user (worker), a factory robot, and a server.

[0697] Hardware and Software Used

[0698] Hardware: Factory robots, servers with GPUs (e.g. NVIDIA GPUs)

[0699] Software: Python, Transformers library (Hugging Face)

[0700] Operation overview

[0701] The server receives work instructions and questions entered by the user in text form and processes them using generative artificial intelligence (GPT-2 model). The generated responses are executed by factory robots, and the results are fed back to the user.

[0702] The specific operation steps are as follows:

[0703] 1. User input:

[0704] Users input work instructions and questions to factory robots in text format through a terminal, such as "The machine has stopped. What's the cause?"

[0705] 2. Sending text input:

[0706] The terminal transmits the entered text to the server.

[0707] 3. Response generation using generative artificial intelligence:

[0708] The server uses generative artificial intelligence (GPT-2 model) to generate multiple rap-style responses based on the received text input, such as "There may be something wrong with the sensor, check it immediately."

[0709] 4. Response Assessment:

[0710] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score, which determines the winner.

[0711] 5. Sending and viewing results:

[0712] The server sends the evaluation results and winning / losing information to the terminal, which then displays the received results to the user, displaying messages such as "You won" or "The quality of your rhyme was excellent."

[0713] 6. Save conversation logs and record grades:

[0714] The server logs the text inputs and responses and records the user's performance, allowing it to analyze the user's progress and provide feedback.

[0715] 7. Special device model offers:

[0716] Users who meet certain conditions (e.g., win a contest) are provided with device models with special functions and designs by the server.

[0717] Examples of concrete examples and prompts

[0718] For example, if a user inputs "The machine has stopped. What's the cause?", the generative AI will respond with "There may be an abnormality in the sensor. Check it immediately." Based on this response, the server will make an evaluation and provide feedback to the user.

[0719] Example prompt sentence:

[0720] User input: "My machine stopped working, what's causing this?"

[0721] AI response: "There may be a sensor malfunction, check it immediately."

[0722] In this way, the present invention realizes enjoyable and natural communication between factory robots and workers, thereby improving work efficiency and motivation.

[0723] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0724] Step 1:

[0725] Users input work instructions and questions to factory robots in text format via a terminal.

[0726] Input: User text instructions or questions

[0727] Output: Text data sent by the terminal to the server

[0728] How it works: The device gets the user's input and sends it to the server.

[0729] Step 2:

[0730] The server uses generative artificial intelligence (GPT-2 model) to generate multiple rap-style responses based on the received text input.

[0731] Input: Text input from users arriving at the server

[0732] Output: The generated wrapped text response

[0733] How it works: The server initializes the GPT-2 model, creates prompts to generate rap-style responses based on the input text data, feeds them to the model, and processes the model's output to generate a response.

[0734] Step 3:

[0735] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score.

[0736] Input: The generated wrapped response

[0737] Output: Scores based on each criterion

[0738] How it works: The server evaluates the generated responses using an evaluation algorithm to calculate scores for grammar, rhythm, and creativity.

[0739] Step 4:

[0740] The server determines the winner based on the evaluation.

[0741] Input: Evaluation result score

[0742] Output: Winner determination result

[0743] How it works: The server runs an algorithm that compares the user's and the AI's scores and determines who wins.

[0744] Step 5:

[0745] The server transmits the evaluation results and winning / losing information to the terminal.

[0746] Input: Win / Loss Judgment Result

[0747] Output: Evaluation results and winning / losing information sent to the device

[0748] Operation: The server composes the evaluation results and winning / losing information in text format and sends them to the terminal.

[0749] Step 6:

[0750] The terminal displays the received results to the user.

[0751] Input: Evaluation results and win / loss information from the server

[0752] Output: A user-visible result display

[0753] How it works: The device analyzes the received data and displays evaluation results, feedback, and win / loss information in a user-friendly format.

[0754] Step 7:

[0755] The server stores the text inputs and responses as a conversation log and records the user's performance.

[0756] Input: User text input and generated responses

[0757] Output: Saved conversation logs and performance data

[0758] How it works: The server stores text inputs and responses in a database and analyzes and records the user's performance.

[0759] Step 8:

[0760] The server offers special device models to users who meet certain conditions.

[0761] Input: User's grade data

[0762] Output: Specific device model information

[0763] How it works: The server analyzes user performance data and notifies users who meet certain conditions to provide them with special device models.

[0764] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0765] This invention combines an emotion engine with a training-type rap battle game system for elementary school students to generate appropriate responses based on the user's emotions and provide more personalized growth feedback. This system uses generative artificial intelligence and an emotion engine to generate responses to the user's text input, and by evaluating and judging the content of those responses, users can hone their language skills while having fun.

[0766] The system includes the following components:

[0767] 1. A device that captures user text input:

[0768] Users enter their rap lines and questions into the terminal.

[0769] The terminal captures the user's text input and sends the data to the server.

[0770] 2. Servers using generative artificial intelligence:

[0771] The server receives text input submitted by a user and generates a response to the input using a plurality of generative artificial intelligence chatbots.

[0772] The server temporarily stores the generated responses and prepares to evaluate them.

[0773] 3. Emotion Recognition with Emotion Engine:

[0774] The server utilizes an emotion engine to recognize emotions from the user's text input.

[0775] The server adjusts the generative AI's response based on the recognized emotion data.

[0776] 4. Server that parses and evaluates the response:

[0777] The server analyzes each generated response, checking grammar, rhythm, and creativity.

[0778] The server scores the responses based on each criterion and calculates an overall score.

[0779] 5. Judgment of Winners and Losers:

[0780] The server determines the winner between the user and the generative artificial intelligence based on the calculated total score.

[0781] The server transmits the result of the game and the evaluation points to the terminal.

[0782] 6. Displaying the results:

[0783] The terminal displays the results of the game and the evaluation points received from the server to the user. For example, it displays messages such as "You won" or "The quality of your rhyme was excellent."

[0784] The user checks his / her own score and the other person's response.

[0785] 7. Conversation Log and Record of Performance:

[0786] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[0787] The server records the user's performance and prepares to reflect the user's progress in the next match.

[0788] 8. Providing growth feedback:

[0789] The server generates feedback on the user's progress based on their past performance and the recognition results of the emotion engine, providing advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[0790] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[0791] 9. Special device model offers:

[0792] The server processes the provision of a special device model when the user meets a specific condition, such as winning a contest.

[0793] Users will receive this special device and be able to take on more advanced rap battles.

[0794] Program specific examples and processing

[0795] 1. Getting and sending user input:

[0796] A user inputs his / her rap into the system through a terminal. For example, when a user inputs "my rap line," the terminal receives the input and transmits it to the server.

[0797] 2. Response generation using generative artificial intelligence:

[0798] The server uses generative artificial intelligence to generate multiple responses based on the text input received from the user. For example, "AI Chatbot 1," "AI Chatbot 2," etc. each generate a different response.

[0799] 3. Emotion Recognition with Emotion Engine:

[0800] The server uses an emotion engine to recognize emotions from the user's text input, for example, analyzing whether the user is expressing "anger" or "joy."

[0801] 4. Adjusting the response:

[0802] The server adjusts the response of the generative AI based on the output of the emotion engine. For example, if the user expresses anger, it selects a response that will alleviate that emotion.

[0803] 5. Evaluating responses and determining winners:

[0804] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, assigning each a score, and also considers the user's emotions to calculate an overall score to determine the winner.

[0805] 6. Results display and feedback:

[0806] The terminal displays the evaluation results and the results of the game received from the server to the user, and also provides feedback including the results of analysis by the emotion engine.

[0807] 7. Recording of performance and providing special models:

[0808] The server records users' match results and evaluation scores in a database and provides special device models to users who meet certain conditions.

[0809] As described above, the system of the present invention allows users to hone their linguistic skills and creativity through rap battles while providing a personalized experience that takes emotions into consideration. Furthermore, the combination of generative AI and an emotion engine provides fairer and more effective feedback, promoting sustained interest and learning.

[0810] The processing flow will be explained below.

[0811] Step 1: Getting User Input

[0812] The terminal receives text input from the user, such as a rap line or a question, and the user enters the rap using the terminal's interface.

[0813] The terminal temporarily stores the acquired text input data and prepares to send it to the server.

[0814] Step 2: Send text input to the server

[0815] The terminal sends the user's input data, including the user ID and text content, to the server.

[0816] The server verifies the user's text input received from the terminal and begins the parsing process.

[0817] Step 3: Emotion recognition by the emotion engine

[0818] The server uses an emotion engine to recognize emotions from the user's text input, for example, analyzing whether the user's input contains "anger" or "joy."

[0819] The server stores the recognized emotion data and reflects it in the response generation of the generative artificial intelligence.

[0820] Step 4: Generative AI response generation

[0821] Based on the results of the emotion engine, the server passes the user's text input to a generative AI system, which generates multiple responses. For example, if the user's emotion is "anger," it generates a response that alleviates the emotion.

[0822] The server temporarily stores the generated responses, ready to be evaluated next.

[0823] Step 5: Analyze and evaluate the response

[0824] The server analyzes each generated response, specifically checking grammar, rhythm, and creativity.

[0825] The server scores the responses based on each criterion and calculates an overall score.

[0826] Step 6: Determining the Winner

[0827] The server determines the winner between the user and the generative AI based on the calculated total score, and determines the winner and the reason for the result.

[0828] The server transmits the result of the game and the evaluation points to the terminal.

[0829] Step 7: View the results

[0830] The terminal displays the winning / losing result and each evaluation point received from the server to the user, for example, displaying a message such as "You won" or "The quality of your rhyme was excellent."

[0831] The user checks his / her own score and the other person's response.

[0832] Step 8: Log your conversations and record your grades

[0833] The server stores the user's text input and the responses from the generative AI as a conversation log, which records the history of the match.

[0834] The server records the user's performance and periodically analyzes it to generate growth feedback.

[0835] Step 9: Provide growth feedback

[0836] The server generates feedback on the user's progress based on their past performance and the recognition results of the emotion engine, providing specific advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[0837] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[0838] Step 10: Provide a special device model

[0839] The server processes the provision of a special device model when the user meets a specific condition, such as winning a contest.

[0840] The server prepares a special device model, notifies the user, and sends it.

[0841] Users will receive this special device and be able to take on more advanced rap battles.

[0842] The above is the specific processing flow of the system of the present invention. This system allows users to improve their linguistic skills and creativity while having fun. Furthermore, the introduction of an emotion engine allows for more personalized feedback and promotion of growth.

[0843] Example 2

[0844] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0845] Conventional rap battle game systems have the problem that the responses generated in response to a user's text input are fixed and cannot provide personalized feedback that takes into account the user's emotions. This limits the opportunities for users to effectively improve their rap skills and makes it difficult to maintain interest. Furthermore, the evaluation criteria for text input and responses are unclear, which can lead to unfair judgment of victory or defeat.

[0846] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0847] In this invention, the server includes means for acquiring a user's text input, means for generating multiple responses to the text input using a generative artificial intelligence, means for recognizing the user's emotion in response to the text input, means for adjusting the responses of the generative artificial intelligence based on the recognized emotion, means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity, means for determining whether the user wins or loses based on the evaluation, means for displaying the results of the win or loss to the user, means for saving a conversation log of the text input and the responses and recording the user's performance, means for providing feedback on the user's growth based on the performance, and means for providing a special device model to a user who meets certain conditions. This makes it possible to provide personalized feedback according to the user's emotions and determine whether the user wins or loses based on fair and clear evaluation criteria.

[0848] "User text input" refers to text data such as rap lines and questions that a user inputs via a terminal.

[0849] "Generative AI" is an AI model that has the ability to generate responses in natural language based on user text input.

[0850] A "response" is a reply message that the generative artificial intelligence generates in response to a user's text input.

[0851] An "emotion engine" is a system that has the ability to recognize emotions from user text input.

[0852] "Grammar, rhythm, and creativity" are items used as evaluation criteria for the responses generated, and are indicators for evaluating the accuracy and originality of the responses.

[0853] "Winning and losing determination" is the process of comparing the responses of the user and the generative AI based on evaluation criteria to determine which is better.

[0854] A "conversation log" is data that records the user's text input and the generative artificial intelligence's responses.

[0855] "Feedback" is the process of providing information based on a user's past performance that will help them improve and set goals for the next time.

[0856] A "special device model" is a device with special functions or designs that is provided to users who meet certain conditions.

[0857] The present invention combines generative artificial intelligence and an emotion engine in a training-type rap battle game system for elementary school students to generate appropriate responses according to the user's emotions and provide more personalized growth feedback. Specific embodiments for carrying out the present invention are described below.

[0858] 1. System Overview

[0859] This system is a training-type rap battle game system that allows users to hone their verbal skills and experience growth while having fun. This system uses generative artificial intelligence and an emotion engine to generate responses to the user's text input, and evaluates and judges the content of those responses.

[0860] 2. Hardware and Software Used

[0861] Terminal: A device that accepts text input by a user, such as a smartphone, tablet, or PC.

[0862] Server: A computer system that receives user input and generates and evaluates responses using generative artificial intelligence or emotion engines. Specifically, this includes cloud servers and dedicated servers.

[0863] Generative artificial intelligence models: Use large-scale language models such as OpenAI's GPT-4.

[0864] Emotion engine: Uses Azure Cognitive Services' emotion recognition API, etc.

[0865] 3. Detailed System Processing

[0866] Getting and Sending User Input

[0867] Users can input their rap lines and questions in text format through the device. For example, if a user types, "Today I'm going to write the best rap ever!", the device temporarily stores this data and sends it to the server.

[0868] Response generation using generative artificial intelligence

[0869] The server converts the received user input into a prompt and sends it to the generative AI. For example, it generates a prompt such as, "The user is expressing their enthusiasm to create the best rap. Please generate the optimal response to this." The generated responses are, "Your enthusiasm is great. Don't forget the rhythm, and keep going!" or "Show us your best rap and surprise everyone!"

[0870] Emotion recognition by emotion engine

[0871] The server uses an emotion engine to perform emotion analysis based on the user's text input. For example, it identifies whether the user's text contains emotions such as "anger" or "joy." This is done using the emotion recognition API from Azure Cognitive Services.

[0872] Adjusting and evaluating responses

[0873] The generative AI's response is adjusted based on the recognized emotion. For example, if the user expresses the emotion of "anger," the server selects a response that will alleviate that emotion. The server then evaluates the generated response in terms of grammar, rhythm, and creativity. Natural language processing tools used include NLTK and spaCy.

[0874] Judging and displaying the results

[0875] Based on the evaluation, the server determines whether the user or the generative AI has won or lost. The results of the win / loss and the evaluation points are sent to the device, which then displays them to the user. For example, messages such as "You won!" or "Pay more attention to your sense of rhythm" are displayed.

[0876] Conversation log and grade record

[0877] The server stores the user's text input and the responses from the generative AI as a conversation log. MySQL or PostgreSQL is used as the database management system. The server also records the user's performance and uses it for growth feedback.

[0878] 4. Feedback and special device model submissions

[0879] The server generates feedback to promote growth based on the user's past performance and the recognition results of the emotion engine. For example, it may provide advice such as "Pay more attention to rhythm." Furthermore, if a user meets certain conditions (e.g., wins a contest), the server will provide a special device model.

[0880] As described above, the present invention is a system that combines generative artificial intelligence and an emotion engine to provide personalized responses and feedback according to the user's emotions, allowing users to hone their verbal skills and creativity through rap battles.

[0881] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0882] Step 1:

[0883] The user inputs their rap line or question into the device. For example, if they input "Today I'm going to give you the best rap ever!", the user's input data is temporarily stored on the device. This input data is then ready to be sent to the server in the next step.

[0884] Step 2:

[0885] The terminal receives user input data and sends it to the server using the appropriate protocol (e.g., HTTP request in JSON format). An internet connection is required. The input is the user's text data, and the output is the data sent to the server.

[0886] Step 3:

[0887] The server receives text data sent by the user and converts it into a prompt to be sent to the generative AI model. For example, it generates a prompt such as, "The user is expressing their enthusiasm for the best lap. Please generate the optimal response to this." The input is the user's text data, and the output is the prompt.

[0888] Step 4:

[0889] The server uses generative artificial intelligence (e.g., a large-scale language model) to generate multiple responses based on the prompt. For example, responses such as "Your enthusiasm is great! Don't forget the rhythm, let's keep going!" or "Let's surprise everyone with our best rap!" are generated. The input is the prompt, and the output is the multiple generated responses.

[0890] Step 5:

[0891] The server uses an emotion engine based on the generated responses to recognize emotions from the user's original text. For example, it uses an emotion recognition API to analyze whether the user's text contains emotions such as "anger" or "joy." The input is the user's text data, and the output is the recognized emotion data.

[0892] Step 6:

[0893] The server adjusts the generative AI's response based on the recognized emotion data. For example, if the user's emotion is "anger," it selects a response that will alleviate that emotion. The input is emotion data and multiple responses, and the output is the adjusted response.

[0894] Step 7:

[0895] The server analyzes the tailored responses and evaluates them in terms of grammar, rhythm, and creativity using natural language processing tools, such as NLTK and spaCy, to measure and score the responses' grammatical accuracy, rhythm, and creativity. The input is the tailored responses, and the output is the evaluation score.

[0896] Step 8:

[0897] The server determines the outcome of the game between the user and the AI ​​based on the evaluation score. For example, it compares the scores of the user and the AI ​​to determine which is better. The input is the evaluation score, and the output is the outcome of the game.

[0898] Step 9:

[0899] The server sends the result of the game and the evaluation points together to the terminal as an HTTP response. The input is the result of the game and the evaluation points, and the output is the transmitted data.

[0900] Step 10:

[0901] The terminal displays the received winning / losing result and evaluation points to the user. For example, it may display messages such as "You win!" or "Pay more attention to your sense of rhythm." The input is the winning / losing result and evaluation points, and the output is the displayed message.

[0902] Step 11:

[0903] The server saves the user's text input and the responses generated by the generative AI as a conversation log, and records the user's grades in a database, for example, using MySQL or PostgreSQL. The input is the text input, responses, and evaluation score, and the output is the saved log and grades.

[0904] Step 12:

[0905] The server generates specific growth feedback based on the user's past performance and the recognition results of the emotion engine, and sends it to the device. For example, advice such as "Pay more attention to rhythm" is provided. The input is past performance and emotion data, and the output is the generated feedback message.

[0906] Step 13:

[0907] The server performs a procedure to provide a special device model to a user who meets a specific condition (e.g., wins a contest). The input is the user's performance, and the output is the special device model.

[0908] (Application example 2)

[0909] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0910] Conventional virtual stores lacked personalized product suggestions that took user emotions into consideration, making it difficult for users to achieve consistent satisfaction. Furthermore, the quality of suggestions was uniform, and specific feedback that took into account users' emotions and past behavioral history was not provided. As a result, improvements to the customer experience and continuous customer engagement were lacking.

[0911] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0912] In this invention, the server includes means for acquiring a text input or a voice input from a user, means for generating a plurality of responses to the text input or the voice input using generative artificial intelligence, means for utilizing an emotion engine for recognizing emotions from the user's text input or the voice input, and means for adjusting the plurality of responses based on emotion data recognized by the emotion engine, thereby making it possible to provide personalized product suggestions and appropriate feedback based on emotions to the user.

[0913] "User input" refers to information that a user inputs as text or voice via a device such as a smartphone or smart glasses.

[0914] "Generative artificial intelligence" is a general term for artificial intelligence that automatically generates appropriate responses and suggestions to user input based on pre-trained data.

[0915] An "emotion engine" is software or algorithms that analyze and recognize emotions and moods from user input such as text or voice.

[0916] "Response adjustment" refers to the process of re-adjusting the generated response to an optimal form based on the user's emotional data, past behavioral history, etc.

[0917] "Product suggestions" are recommendations that aim to introduce appropriate products to users, taking into consideration their input information and emotional data.

[0918] "Personalized suggestions" are suggestions that are optimized for each individual user based on their individual preferences, emotions, past behavioral history, etc.

[0919] "Emotion data" refers to data obtained as a result of analyzing and recognizing a user's emotions and moods.

[0920] A "conversation log" is a record of the dialogue between the user and the system, and is used for later analysis and feedback.

[0921] "Score Recording" refers to storing in a database an assessment of a user's performance based on their activities and responses.

[0922] The present invention provides a system that provides an "AI personal shopping assistant" for virtual stores that makes personalized product recommendations based on the user's emotions. This system is realized through the following steps:

[0923] Getting User Input

[0924] Users can use their smartphones or smart glasses to make shopping inquiries by text or voice input. For example, a user might say, "What clothes do you recommend for fall?"

[0925] emotion recognition

[0926] The server receives the user's text or voice input and uses an emotion engine to analyze the user's emotions, for example, whether the user's input expresses emotions such as "joy" or "excitement."

[0927] Generating a response

[0928] The server sends the user's input to a generative artificial intelligence (AI model) that generates multiple responses, which are automatically generated based on the user's request.

[0929] Response adjustment

[0930] Based on the emotional data recognized by the emotion engine, the server adjusts the generated responses, for example, filtering the responses to suggest particularly salient products if the user expresses "excitement."

[0931] View Suggestions

[0932] The terminal displays the product suggestions received from the server to the user. For example, the terminal may display a message saying, "We have some highly recommended items for you!"

[0933] Recording and feedback

[0934] The server stores the user's conversation log and emotional data, and records the results based on the results. This allows for feedback based on the user's past behavioral history and emotional data.

[0935] Providing special devices

[0936] Users who meet certain conditions will be offered special devices and offers. For example, users who have consistently received high ratings over a long period of time will be offered special discount codes and exclusive items.

[0937] Hardware and software used

[0938] Hardware: Smartphones, smart glasses

[0939] Software: Emotion engine, generative artificial intelligence (AI model)

[0940] Examples and prompts

[0941] Specific examples

[0942] User types "I want a warm jacket to wear in the fall"

[0943] The system recognizes the emotion about "warm jacket" as "enjoyment."

[0944] Suggestion: "I have a particularly recommended warm jacket! Check it out here."

[0945] Prompt statement

[0946] User Submitted: "I want a warm jacket to wear in the fall."

[0947] Generative AI model prompt: "Product suggestions based on user request: I want a warm jacket to wear in the fall."

[0948] As described above, the present invention is a system that combines emotion recognition and generative AI models to provide personalized shopping suggestions based on the user's emotions, thereby enabling users to have a more satisfying shopping experience.

[0949] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0950] Step 1:

[0951] A user uses a smartphone or smart glasses to input shopping-related text or voice input. For example, the user might input, "Tell me what clothes you recommend for fall." This input becomes the initial input data for the system.

[0952] Step 2:

[0953] The device receives text or voice input from the user and sends the data to the server. The received input data contains the user's request. Sending the data to the server initiates the next step of the process.

[0954] Step 3:

[0955] The server analyzes the text or voice input data received from the user. It then uses an emotion engine to recognize the user's emotions. For example, it analyzes emotions such as "joy" or "sadness" from the input data and generates emotion data. This is the process of emotion recognition based on input data.

[0956] Step 4:

[0957] The server begins generating responses using the emotion data recognized by the emotion engine. It uses a generative artificial intelligence (AI model) to automatically generate multiple responses based on the user's request. Specifically, it inputs a prompt statement (e.g., "I want a warm jacket to wear in the fall") into the generative AI model, which then generates various product suggestions.

[0958] Step 5:

[0959] The server adjusts the generated responses based on the emotional data. For example, if the user is "excited," it prioritizes the most salient suggestions that match that emotion. This adjustment process results in the most appropriate suggestion being selected.

[0960] Step 6:

[0961] The server sends the adjusted response to the device, which then displays the sent suggestions to the user. For example, the device might display "We have some highly recommended items for you!" and provide specific product information.

[0962] Step 7:

[0963] The server stores the conversation log and the results of the suggestions made with the user in a database. This data includes the user's emotional data and the user's request history. This step records the user's performance and the evaluation of the suggestions.

[0964] Step 8:

[0965] The server generates user growth feedback based on the recorded data. For example, it generates a comment such as "You tend to like particularly creative suggestions" as feedback for a user who selected highly rated suggestions during a specific period.

[0966] Step 9:

[0967] The server provides special devices and offers to users who meet certain conditions. For example, users who have received high ratings over a long period of time can receive special discount codes or exclusive items. This keeps users engaged and satisfied.

[0968] Through the above processing steps, the present invention specifically realizes a system that provides personalized shopping suggestions based on the user's emotions.

[0969] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0970] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0971] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0972] [Third embodiment]

[0973] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0974] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0975] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0976] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0977] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0978] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0979] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0980] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0981] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0982] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0983] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0984] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0985] This invention relates to a training-type rap battle game system for elementary school students. This system uses generative artificial intelligence to generate appropriate responses to users' text input, and evaluates and judges the content of those responses, allowing users to hone their language skills while having fun.

[0986] The system includes the following components:

[0987] 1. A device that captures user text input:

[0988] Users enter their rap lines and questions into the terminal.

[0989] The terminal captures the user's text input and sends the data to the server.

[0990] 2. Servers using generative artificial intelligence:

[0991] The server receives text input submitted by a user and generates a response to the input using a plurality of generative artificial intelligence chatbots.

[0992] The server returns the generated responses to the terminal.

[0993] 3. Server that parses and evaluates the response:

[0994] The server analyzes the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score.

[0995] The server determines the winner based on these evaluations and transmits the result to the terminal.

[0996] 4. Device to view results:

[0997] The terminal displays the evaluation results and winner information received from the server to the user.

[0998] Users can check their own scores and the responses of others.

[0999] 5. Server that records conversation logs and results:

[1000] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[1001] The server records the user's performance and periodically analyzes it to generate growth feedback.

[1002] 6. Devices that provide feedback to users:

[1003] The server generates growth feedback and transmits the content to the terminal.

[1004] The device displays this feedback to the user, suggesting the next goal.

[1005] 7. Servers that provide special device models:

[1006] For users who win a contest or meet certain conditions, the server provides device models with special designs and functions.

[1007] Users can enjoy more advanced rap battles using this special device.

[1008] Program specific examples and processing

[1009] 1. Getting and sending user input:

[1010] A user inputs his / her rap into the system through a terminal. For example, when a user inputs "my rap line," the terminal receives the input and transmits it to the server.

[1011] 2. Response generation using generative artificial intelligence:

[1012] The server uses generative artificial intelligence to generate multiple responses based on the text input received from the user. For example, "AI Chatbot 1," "AI Chatbot 2," etc. each generate a different response.

[1013] 3. Evaluating responses and determining winners:

[1014] The server evaluates the generated responses in terms of grammar, rhythm, creativity, etc., and assigns a score to each one. Based on the evaluated scores, the server determines the winner and sends the result to the terminal.

[1015] 4. Results display and feedback:

[1016] The device displays the results received from the server to the user, such as "You won" or "Your rhyme was great." Additionally, the device displays feedback generated by the server, allowing the user to see where they need to improve and where they have grown.

[1017] 5. Recording of performance and providing special models:

[1018] The server records past battle results and evaluation scores in a database to track users' performance, and users who win contests will be given special device models.

[1019] As described above, the system of the present invention allows users to hone their linguistic skills and creativity through rap battles, while having fun and experiencing growth. Furthermore, the fair evaluation of generative AI can stimulate sustained interest and competitive spirit.

[1020] The processing flow will be explained below.

[1021] Step 1: Getting User Input

[1022] The device receives text input, such as rap lines or questions, from the user by the user typing the text into the device's interface.

[1023] The terminal temporarily stores the acquired text input data and prepares it for subsequent transmission to the server.

[1024] Step 2: Send text input to the server

[1025] The terminal sends the user's input data to the server, including the user ID and text content.

[1026] The server verifies the user's text input received from the terminal and begins the parsing process.

[1027] Step 3: Generative AI generates a response

[1028] The server receives the user's text input and passes it to a generative artificial intelligence to generate multiple responses.

[1029] The server temporarily stores the generated responses and prepares to evaluate them.

[1030] Step 4: Analyze and evaluate the response

[1031] The server analyzes each generated response, checking grammar, rhythm, and creativity.

[1032] The server scores the responses based on each criterion and calculates an overall score.

[1033] Step 5: Determining the Winner

[1034] The server determines the winner between the user and the generative artificial intelligence based on the calculated total score.

[1035] The server transmits the result of the game and the evaluation points to the terminal.

[1036] Step 6: View the results

[1037] The terminal displays the results of the game and the evaluation points sent from the server to the user. For example, it displays messages such as "You won" or "The quality of your rhyme was excellent."

[1038] The user checks his / her own score and the other person's response.

[1039] Step 7: Log your conversations and record your grades

[1040] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[1041] The server records the user's performance and prepares to reflect the user's progress in the next match.

[1042] Step 8: Provide growth feedback

[1043] The server generates feedback on the user's progress based on their past performance, offering specific advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[1044] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[1045] Step 9: Provide a special device model

[1046] The server processes the provision of a special device model when a user meets certain conditions, such as winning a contest.

[1047] Users will receive this special device and be able to take on more advanced rap battles.

[1048] Example 1

[1049] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1050] In conventional rap battle game systems, generating responses and evaluating user inputs is often done manually, making it difficult to provide fast and fair evaluations. Furthermore, they lacked features such as providing appropriate feedback and special devices to promote user growth. As a result, it was difficult to maintain user motivation.

[1051] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1052] In this invention, the server includes a means for receiving text input from a user, a means for generating multiple responses to the text input using generative artificial intelligence, and a means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity. This allows for fast and fair evaluation. Furthermore, by including a means for determining victory or defeat based on the evaluation results, a means for displaying the results to the user, a means for providing feedback, and a means for providing special device models to users who meet certain conditions, it is possible to maintain user motivation and promote growth.

[1053] "User" refers to an individual who uses the system to participate in rap battles and enter text, etc.

[1054] "Text input" refers to text data such as rap lines or questions that a user inputs into the system through a terminal.

[1055] "Generative AI" refers to AI technology that automatically generates responses based on user text input.

[1056] "Response" refers to text data generated by a generative artificial intelligence in response to a user's text input.

[1057] "Evaluation" refers to the act of analyzing the responses generated by generative AI in terms of grammar, rhythm, and creativity, and assigning them a score.

[1058] "Winning and Losing Determination" refers to the process of determining the winners and losers of a rap battle based on evaluation.

[1059] "Terminal" refers to the device used by a user to access the system and enter text, including, for example, a smartphone or tablet.

[1060] "Server" refers to a central processing unit that uses generative artificial intelligence to generate responses, evaluates and determines winners and losers, and provides the results to the user.

[1061] "Conversation log" refers to data that records user text input and responses generated by generative artificial intelligence.

[1062] "Results" refers to the evaluation score and win / loss history obtained by the user in the rap battle.

[1063] "Feedback" refers to information that suggests next goals and areas for improvement based on the user's performance.

[1064] "Special Device Model" refers to a device with a special design or functionality that is offered to users who win a contest or meet certain conditions.

[1065] In the rap battle game system of the present invention, users input their own rap lines and questions as text, and a generative AI system generates automatic responses, which are then evaluated to determine the winner. This system allows users to have fun while improving their verbal skills and creativity.

[1066] The system includes the following main components:

[1067] 1. A device that captures user text input

[1068] Users use devices such as smartphones and tablets to input their rap lines and questions.

[1069] The device receives the text input and sends it to the server. For example, a user might type, "No rhyme can beat you, my words are sharp and dynamite!"

[1070] 2. Servers that use generative artificial intelligence

[1071] The server receives text input submitted by the user.

[1072] The server uses generative AI such as GPT-4 and BERT to generate multiple responses. For example, GPT-4 might generate "Your words are strong, but my rap will get you off," while BERT might generate "Your words are dandy, but my rap is even more kandy."

[1073] 3. Server that analyzes and evaluates the response

[1074] The server analyzes the generated responses in terms of grammar, rhythm, and creativity, and assigns a score to each response, for example, "Grammar score: 8 / 10," "Rhythm score: 7 / 10," and "Creativity score: 9 / 10."

[1075] 4. A device that determines the winner and displays the results

[1076] The server determines the winner based on the evaluation results and transmits the result to the terminal.

[1077] The terminal displays the evaluation results and winner information received from the server to the user. For example, a message such as "You win! Your rhythm was perfect!" may be displayed.

[1078] 5. Server that records conversation logs and scores

[1079] The server saves the user's text input and the responses from the generative AI as a conversation log and records the user's performance.

[1080] 6. Devices that provide feedback

[1081] The server periodically analyzes the user's performance data and generates growth feedback.

[1082] The device displays this feedback to the user and suggests the next goal, such as "Try using more diverse words next time."

[1083] 7. Servers that provide special device models

[1084] For users who win a contest or meet certain conditions, the server provides device models with special designs and features, such as specially designed smartphones.

[1085] This allows users to hone their language skills while having fun, and fosters sustained interest and a competitive spirit through the fair evaluation of generative AI. It also encourages user growth and allows users to feel a sense of accomplishment through the rap battle game.

[1086] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1087] Step 1:

[1088] Users use their smartphones or tablets to input their rap lines and questions.

[1089] Input: User text input (e.g., "No rhyme can beat you, my words are sharp and dynamite!").

[1090] Specific operation: The user enters content into the text input field on the terminal and presses the send button.

[1091] Step 2:

[1092] The terminal transmits the received text input to the server.

[1093] Input: User text input.

[1094] Data processing: Convert text input into JSON format.

[1095] Output: JSON data to send to the server.

[1096] Specific operation: The terminal application converts the text data into JSON format and sends a POST request to the server API over the Internet.

[1097] Step 3:

[1098] The server receives text input submitted by the user and generates a response using generative artificial intelligence.

[1099] Input: JSON data received from the terminal.

[1100] Data calculation: Input the received text into generative artificial intelligence to generate a response.

[1101] Output: Multiple generated responses.

[1102] Specific operation: The server analyzes the received JSON data, inputs the text into a generative artificial intelligence model such as "GPT-4" or "BERT," and each model generates a response.

[1103] Step 4:

[1104] The server evaluates the generated responses in terms of grammar, rhythm, and creativity.

[1105] Input: The multiple responses generated.

[1106] Data Calculation: Analyze responses and score each response for grammar, rhythm, and creativity.

[1107] Output: Scored responses.

[1108] Specific operation: The server analyzes the response text and calculates scores such as "Grammar score: 8 / 10", "Rhythm score: 7 / 10", "Creativity score: 9 / 10", etc.

[1109] Step 5:

[1110] The server determines the winner based on the evaluation results and transmits the result to the terminal.

[1111] Input: The scored response.

[1112] Data calculation: Calculate the overall score and determine winners and losers.

[1113] Output: Win / loss results and evaluation score.

[1114] Specific operation: The server calculates the overall score for each response, determines the winners and losers, converts the resulting data into JSON format, and sends it to the terminal.

[1115] Step 6:

[1116] The terminal displays the evaluation results and win / loss information sent from the server to the user.

[1117] Input: Win / loss results and evaluation scores received from the server.

[1118] Data processing: Converting received data into a user-friendly format.

[1119] Output: The message to display to the user.

[1120] Specific behavior: The terminal application parses the received JSON data and displays a message such as "You win! Your rhythm was perfect!"

[1121] Step 7:

[1122] The server saves the user's text input and the responses from the generative AI as a conversation log and records the user's performance.

[1123] Input: User text input and generative AI response.

[1124] Data calculation: The received data is stored in the database.

[1125] Output: Saved conversation logs and performance data.

[1126] Specific operation: The server records the user's input data and response data in a database.

[1127] Step 8:

[1128] The server periodically analyzes the user's performance and generates growth feedback.

[1129] Input: Saved conversation logs and performance data.

[1130] Data calculations: Analyze performance data and generate feedback.

[1131] Output: Feedback content.

[1132] Specific operation: The server retrieves performance data from the database, analyzes it, and generates feedback such as "Try using more diverse words next time."

[1133] Step 9:

[1134] The server provides special device models to users who meet certain conditions.

[1135] Input: User's grade data.

[1136] Data calculation: Determine whether a specific condition is met.

[1137] Output: Decision to offer special device model.

[1138] Specific operation: The server analyzes the performance data of the users and determines that the user who wins the contest will be provided with a special device model.

[1139] (Application example 1)

[1140] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1141] Conventional interfaces between factory robots and humans have limitations in the amount and accuracy of information they can convey when conveying instructions and reports, and lack the means to improve work efficiency or enhance the enjoyment of communication. This leads to problems such as a decline in work quality and a decrease in user motivation. In particular, conventional factory robot interfaces lack a communication method using rap-style natural language communication.

[1142] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1143] In this invention, the server includes means for receiving text input from a user, means for generating multiple responses to the text input using generative artificial intelligence, means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity, means for determining whether the user won or lost based on the evaluation, means for displaying the results of the win or loss to the user, means for saving a conversation log of the text input and the responses and recording the user's performance, means for providing feedback on the user's growth based on the performance, means for providing a special device model to a user who meets specific conditions, and means for using a factory robot to communicate in natural language using rap to provide work instructions and equipment status reports, thereby enabling effective and enjoyable communication within the factory.

[1144] User Input

[1145] These are text instructions or questions that users input to factory robots.

[1146] "Generative Artificial Intelligence"

[1147] is an artificial intelligence system for generating appropriate responses to user text input.

[1148] "Response Generation"

[1149] is the process by which generative artificial intelligence creates multiple responses to a user's text input.

[1150] "evaluation"

[1151] This involves analyzing and scoring the responses generated based on criteria such as grammar, rhythm, and creativity.

[1152] "Win / Loss Judgment"

[1153] This means comparing the assessed responses and determining which is better.

[1154] "Conversation Log"

[1155] is a data file that records user text input and responses from generative artificial intelligence.

[1156] "Results"

[1157] is a performance record that combines the user's past text input and response generation results, as well as their evaluation scores.

[1158] "Growth Feedback"

[1159] This refers to the provision of advice and next goals to users based on their performance.

[1160] "Special device models"

[1161] A device with a special design or function is offered to users who meet certain conditions.

[1162] "Factory Robot"

[1163] is an automated mechanical device designed to perform work in a factory.

[1164] "Natural Language Communication"

[1165] is a method of exchanging information using human language, including communication in rap format.

[1166] "Work instructions"

[1167] This means that a user commands a factory robot to perform a specific task.

[1168] "Device Status Report"

[1169] This means that factory robots report the current status of machines and any abnormalities to the user.

[1170] The system for implementing this invention realizes communication between factory robots and workers using natural language. This system is composed of a user (worker), a factory robot, and a server.

[1171] Hardware and Software Used

[1172] Hardware: Factory robots, servers with GPUs (e.g. NVIDIA GPUs)

[1173] Software: Python, Transformers library (Hugging Face)

[1174] Operation overview

[1175] The server receives work instructions and questions entered by the user in text form and processes them using generative artificial intelligence (GPT-2 model). The generated responses are executed by factory robots, and the results are fed back to the user.

[1176] The specific operation steps are as follows:

[1177] 1. User input:

[1178] Users input work instructions and questions to factory robots in text format through a terminal, such as "The machine has stopped. What's the cause?"

[1179] 2. Sending text input:

[1180] The terminal transmits the entered text to the server.

[1181] 3. Response generation using generative artificial intelligence:

[1182] The server uses generative artificial intelligence (GPT-2 model) to generate multiple rap-style responses based on the received text input, such as "There may be something wrong with the sensor, check it immediately."

[1183] 4. Response Assessment:

[1184] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score, which determines the winner.

[1185] 5. Sending and viewing results:

[1186] The server sends the evaluation results and winning / losing information to the terminal, which then displays the received results to the user, displaying messages such as "You won" or "The quality of your rhyme was excellent."

[1187] 6. Save conversation logs and record grades:

[1188] The server logs the text inputs and responses and records the user's performance, allowing it to analyze the user's progress and provide feedback.

[1189] 7. Special device model offers:

[1190] Users who meet certain conditions (e.g., win a contest) are provided with device models with special functions and designs by the server.

[1191] Examples of concrete examples and prompts

[1192] For example, if a user inputs "The machine has stopped. What's the cause?", the generative AI will respond with "There may be an abnormality in the sensor. Check it immediately." Based on this response, the server will make an evaluation and provide feedback to the user.

[1193] Example prompt sentence:

[1194] User input: "My machine stopped working, what's causing this?"

[1195] AI response: "There may be a sensor malfunction, check it immediately."

[1196] In this way, the present invention realizes enjoyable and natural communication between factory robots and workers, thereby improving work efficiency and motivation.

[1197] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1198] Step 1:

[1199] Users input work instructions and questions to factory robots in text format via a terminal.

[1200] Input: User text instructions or questions

[1201] Output: Text data sent by the terminal to the server

[1202] How it works: The device gets the user's input and sends it to the server.

[1203] Step 2:

[1204] The server uses generative artificial intelligence (GPT-2 model) to generate multiple rap-style responses based on the received text input.

[1205] Input: Text input from users arriving at the server

[1206] Output: The generated wrapped text response

[1207] How it works: The server initializes the GPT-2 model, creates prompts to generate rap-style responses based on the input text data, feeds them to the model, and processes the model's output to generate a response.

[1208] Step 3:

[1209] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score.

[1210] Input: The generated wrapped response

[1211] Output: Scores based on each criterion

[1212] How it works: The server evaluates the generated responses using an evaluation algorithm to calculate scores for grammar, rhythm, and creativity.

[1213] Step 4:

[1214] The server determines the winner based on the evaluation.

[1215] Input: Evaluation result score

[1216] Output: Winner determination result

[1217] How it works: The server runs an algorithm that compares the user's and the AI's scores and determines who wins.

[1218] Step 5:

[1219] The server transmits the evaluation results and winning / losing information to the terminal.

[1220] Input: Win / Loss Judgment Result

[1221] Output: Evaluation results and winning / losing information sent to the device

[1222] Operation: The server composes the evaluation results and winning / losing information in text format and sends them to the terminal.

[1223] Step 6:

[1224] The terminal displays the received results to the user.

[1225] Input: Evaluation results and win / loss information from the server

[1226] Output: A user-visible result display

[1227] How it works: The device analyzes the received data and displays evaluation results, feedback, and win / loss information in a user-friendly format.

[1228] Step 7:

[1229] The server stores the text inputs and responses as a conversation log and records the user's performance.

[1230] Input: User text input and generated responses

[1231] Output: Saved conversation logs and performance data

[1232] How it works: The server stores text inputs and responses in a database and analyzes and records the user's performance.

[1233] Step 8:

[1234] The server offers special device models to users who meet certain conditions.

[1235] Input: User's grade data

[1236] Output: Specific device model information

[1237] How it works: The server analyzes user performance data and notifies users who meet certain conditions to provide them with special device models.

[1238] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1239] This invention combines an emotion engine with a training-type rap battle game system for elementary school students to generate appropriate responses based on the user's emotions and provide more personalized growth feedback. This system uses generative artificial intelligence and an emotion engine to generate responses to the user's text input, and by evaluating and judging the content of those responses, users can hone their language skills while having fun.

[1240] The system includes the following components:

[1241] 1. A device that captures user text input:

[1242] Users enter their rap lines and questions into the terminal.

[1243] The terminal captures the user's text input and sends the data to the server.

[1244] 2. Servers using generative artificial intelligence:

[1245] The server receives text input submitted by a user and generates a response to the input using a plurality of generative artificial intelligence chatbots.

[1246] The server temporarily stores the generated responses and prepares to evaluate them.

[1247] 3. Emotion Recognition with Emotion Engine:

[1248] The server utilizes an emotion engine to recognize emotions from the user's text input.

[1249] The server adjusts the generative AI's response based on the recognized emotion data.

[1250] 4. Server that parses and evaluates the response:

[1251] The server analyzes each generated response, checking grammar, rhythm, and creativity.

[1252] The server scores the responses based on each criterion and calculates an overall score.

[1253] 5. Judgment of Winners and Losers:

[1254] The server determines the winner between the user and the generative artificial intelligence based on the calculated total score.

[1255] The server transmits the result of the game and the evaluation points to the terminal.

[1256] 6. Displaying the results:

[1257] The terminal displays the results of the game and the evaluation points received from the server to the user. For example, it displays messages such as "You won" or "The quality of your rhyme was excellent."

[1258] The user checks his / her own score and the other person's response.

[1259] 7. Conversation Log and Record of Performance:

[1260] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[1261] The server records the user's performance and prepares to reflect the user's progress in the next match.

[1262] 8. Providing growth feedback:

[1263] The server generates feedback on the user's progress based on their past performance and the recognition results of the emotion engine, providing advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[1264] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[1265] 9. Special device model offers:

[1266] The server processes the provision of a special device model when the user meets a specific condition, such as winning a contest.

[1267] Users will receive this special device and be able to take on more advanced rap battles.

[1268] Program specific examples and processing

[1269] 1. Getting and sending user input:

[1270] A user inputs his / her rap into the system through a terminal. For example, when a user inputs "my rap line," the terminal receives the input and transmits it to the server.

[1271] 2. Response generation using generative artificial intelligence:

[1272] The server uses generative artificial intelligence to generate multiple responses based on the text input received from the user. For example, "AI Chatbot 1," "AI Chatbot 2," etc. each generate a different response.

[1273] 3. Emotion Recognition with Emotion Engine:

[1274] The server uses an emotion engine to recognize emotions from the user's text input, for example, analyzing whether the user is expressing "anger" or "joy."

[1275] 4. Adjusting the response:

[1276] The server adjusts the response of the generative AI based on the output of the emotion engine. For example, if the user expresses anger, it selects a response that will alleviate that emotion.

[1277] 5. Evaluating responses and determining winners:

[1278] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, assigning each a score, and also considers the user's emotions to calculate an overall score to determine the winner.

[1279] 6. Results display and feedback:

[1280] The terminal displays the evaluation results and the results of the game received from the server to the user, and also provides feedback including the results of analysis by the emotion engine.

[1281] 7. Recording of performance and providing special models:

[1282] The server records users' match results and evaluation scores in a database and provides special device models to users who meet certain conditions.

[1283] As described above, the system of the present invention allows users to hone their linguistic skills and creativity through rap battles while providing a personalized experience that takes emotions into consideration. Furthermore, the combination of generative AI and an emotion engine provides fairer and more effective feedback, promoting sustained interest and learning.

[1284] The processing flow will be explained below.

[1285] Step 1: Getting User Input

[1286] The terminal receives text input from the user, such as a rap line or a question, and the user enters the rap using the terminal's interface.

[1287] The terminal temporarily stores the acquired text input data and prepares to send it to the server.

[1288] Step 2: Send text input to the server

[1289] The terminal sends the user's input data, including the user ID and text content, to the server.

[1290] The server verifies the user's text input received from the terminal and begins the parsing process.

[1291] Step 3: Emotion recognition by the emotion engine

[1292] The server uses an emotion engine to recognize emotions from the user's text input, for example, analyzing whether the user's input contains "anger" or "joy."

[1293] The server stores the recognized emotion data and reflects it in the response generation of the generative artificial intelligence.

[1294] Step 4: Generative AI response generation

[1295] Based on the results of the emotion engine, the server passes the user's text input to a generative AI system, which generates multiple responses. For example, if the user's emotion is "anger," it generates a response that alleviates the emotion.

[1296] The server temporarily stores the generated responses, ready to be evaluated next.

[1297] Step 5: Analyze and evaluate the response

[1298] The server analyzes each generated response, specifically checking grammar, rhythm, and creativity.

[1299] The server scores the responses based on each criterion and calculates an overall score.

[1300] Step 6: Determining the Winner

[1301] The server determines the winner between the user and the generative AI based on the calculated total score, and determines the winner and the reason for the result.

[1302] The server transmits the result of the game and the evaluation points to the terminal.

[1303] Step 7: View the results

[1304] The terminal displays the winning / losing result and each evaluation point received from the server to the user, for example, displaying a message such as "You won" or "The quality of your rhyme was excellent."

[1305] The user checks his / her own score and the other person's response.

[1306] Step 8: Log your conversations and record your grades

[1307] The server stores the user's text input and the responses from the generative AI as a conversation log, which records the history of the match.

[1308] The server records the user's performance and periodically analyzes it to generate growth feedback.

[1309] Step 9: Provide growth feedback

[1310] The server generates feedback on the user's progress based on their past performance and the recognition results of the emotion engine, providing specific advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[1311] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[1312] Step 10: Provide a special device model

[1313] The server processes the provision of a special device model when the user meets a specific condition, such as winning a contest.

[1314] The server prepares a special device model, notifies the user, and sends it.

[1315] Users will receive this special device and be able to take on more advanced rap battles.

[1316] The above is the specific processing flow of the system of the present invention. This system allows users to improve their linguistic skills and creativity while having fun. Furthermore, the introduction of an emotion engine allows for more personalized feedback and promotion of growth.

[1317] Example 2

[1318] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1319] Conventional rap battle game systems have the problem that the responses generated in response to a user's text input are fixed and cannot provide personalized feedback that takes into account the user's emotions. This limits the opportunities for users to effectively improve their rap skills and makes it difficult to maintain interest. Furthermore, the evaluation criteria for text input and responses are unclear, which can lead to unfair judgment of victory or defeat.

[1320] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1321] In this invention, the server includes means for acquiring a user's text input, means for generating multiple responses to the text input using a generative artificial intelligence, means for recognizing the user's emotion in response to the text input, means for adjusting the responses of the generative artificial intelligence based on the recognized emotion, means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity, means for determining whether the user wins or loses based on the evaluation, means for displaying the results of the win or loss to the user, means for saving a conversation log of the text input and the responses and recording the user's performance, means for providing feedback on the user's growth based on the performance, and means for providing a special device model to a user who meets certain conditions. This makes it possible to provide personalized feedback according to the user's emotions and determine whether the user wins or loses based on fair and clear evaluation criteria.

[1322] "User text input" refers to text data such as rap lines and questions that a user inputs via a terminal.

[1323] "Generative AI" is an AI model that has the ability to generate responses in natural language based on user text input.

[1324] A "response" is a reply message that the generative artificial intelligence generates in response to a user's text input.

[1325] An "emotion engine" is a system that has the ability to recognize emotions from user text input.

[1326] "Grammar, rhythm, and creativity" are items used as evaluation criteria for the responses generated, and are indicators for evaluating the accuracy and originality of the responses.

[1327] "Winning and losing determination" is the process of comparing the responses of the user and the generative AI based on evaluation criteria to determine which is better.

[1328] A "conversation log" is data that records the user's text input and the generative artificial intelligence's responses.

[1329] "Feedback" is the process of providing information based on a user's past performance that will help them improve and set goals for the next time.

[1330] A "special device model" is a device with special functions or designs that is provided to users who meet certain conditions.

[1331] The present invention combines generative artificial intelligence and an emotion engine in a training-type rap battle game system for elementary school students to generate appropriate responses according to the user's emotions and provide more personalized growth feedback. Specific embodiments for carrying out the present invention are described below.

[1332] 1. System Overview

[1333] This system is a training-type rap battle game system that allows users to hone their verbal skills and experience growth while having fun. This system uses generative artificial intelligence and an emotion engine to generate responses to the user's text input, and evaluates and judges the content of those responses.

[1334] 2. Hardware and Software Used

[1335] Terminal: A device that accepts text input by a user, such as a smartphone, tablet, or PC.

[1336] Server: A computer system that receives user input and generates and evaluates responses using generative artificial intelligence or emotion engines. Specifically, this includes cloud servers and dedicated servers.

[1337] Generative artificial intelligence models: Use large-scale language models such as OpenAI's GPT-4.

[1338] Emotion engine: Uses Azure Cognitive Services' emotion recognition API, etc.

[1339] 3. Detailed System Processing

[1340] Getting and Sending User Input

[1341] The user inputs their rap lines and questions in text format through the device. For example, if the user inputs "Today I'm going to make the best rap possible!", the device temporarily stores this data and sends it to the server.

[1342] Response generation using generative artificial intelligence

[1343] The server converts the received user input into a prompt and sends it to the generative AI. For example, it generates a prompt such as, "The user is expressing their enthusiasm to create the best rap. Please generate the optimal response to this." The generated responses are, "Your enthusiasm is great. Don't forget the rhythm, and keep going!" or "Show us your best rap and surprise everyone!"

[1344] Emotion recognition by emotion engine

[1345] The server uses an emotion engine to perform emotion analysis based on the user's text input. For example, it identifies whether the user's text contains emotions such as "anger" or "joy." This is done using the emotion recognition API from Azure Cognitive Services.

[1346] Adjusting and evaluating responses

[1347] The generative AI's response is adjusted based on the recognized emotion. For example, if the user expresses the emotion of "anger," the server selects a response that will alleviate that emotion. The server then evaluates the generated response in terms of grammar, rhythm, and creativity. Natural language processing tools used include NLTK and spaCy.

[1348] Judging and displaying the results

[1349] Based on the evaluation, the server determines whether the user or the generative AI has won or lost. The results of the win / loss and the evaluation points are sent to the device, which then displays them to the user. For example, messages such as "You won!" or "Pay more attention to your sense of rhythm" are displayed.

[1350] Conversation log and grade record

[1351] The server stores the user's text input and the responses from the generative AI as a conversation log. MySQL or PostgreSQL is used as the database management system. The server also records the user's performance and uses it for growth feedback.

[1352] 4. Feedback and special device model submissions

[1353] The server generates feedback to promote growth based on the user's past performance and the recognition results of the emotion engine. For example, it may provide advice such as "Pay more attention to rhythm." Furthermore, if a user meets certain conditions (e.g., wins a contest), the server will provide a special device model.

[1354] As described above, the present invention is a system that combines generative artificial intelligence and an emotion engine to provide personalized responses and feedback according to the user's emotions, allowing users to hone their verbal skills and creativity through rap battles.

[1355] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1356] Step 1:

[1357] The user inputs their rap line or question into the device. For example, if they input "Today I'm going to give you the best rap ever!", the user's input data is temporarily stored on the device. This input data is then ready to be sent to the server in the next step.

[1358] Step 2:

[1359] The terminal receives user input data and sends it to the server using the appropriate protocol (e.g., HTTP request in JSON format). An internet connection is required. The input is the user's text data, and the output is the data sent to the server.

[1360] Step 3:

[1361] The server receives text data sent by the user and converts it into a prompt to be sent to the generative AI model. For example, it generates a prompt such as, "The user is expressing their enthusiasm for the best lap. Please generate the optimal response to this." The input is the user's text data, and the output is the prompt.

[1362] Step 4:

[1363] The server uses generative artificial intelligence (e.g., a large-scale language model) to generate multiple responses based on the prompt. For example, responses such as "Your enthusiasm is great! Don't forget the rhythm, let's keep going!" or "Let's surprise everyone with our best rap!" are generated. The input is the prompt, and the output is the multiple generated responses.

[1364] Step 5:

[1365] The server uses an emotion engine based on the generated responses to recognize emotions from the user's original text. For example, it uses an emotion recognition API to analyze whether the user's text contains emotions such as "anger" or "joy." The input is the user's text data, and the output is the recognized emotion data.

[1366] Step 6:

[1367] The server adjusts the generative AI's response based on the recognized emotion data. For example, if the user's emotion is "anger," it selects a response that will alleviate that emotion. The input is emotion data and multiple responses, and the output is the adjusted response.

[1368] Step 7:

[1369] The server analyzes the tailored responses and evaluates them in terms of grammar, rhythm, and creativity using natural language processing tools, such as NLTK and spaCy, to measure and score the responses' grammatical accuracy, rhythm, and creativity. The input is the tailored responses, and the output is the evaluation score.

[1370] Step 8:

[1371] The server determines the outcome of the game between the user and the AI ​​based on the evaluation score. For example, it compares the scores of the user and the AI ​​to determine which is better. The input is the evaluation score, and the output is the outcome of the game.

[1372] Step 9:

[1373] The server sends the result of the game and the evaluation points together to the terminal as an HTTP response. The input is the result of the game and the evaluation points, and the output is the transmitted data.

[1374] Step 10:

[1375] The terminal displays the received winning / losing result and evaluation points to the user. For example, it may display messages such as "You win!" or "Pay more attention to your sense of rhythm." The input is the winning / losing result and evaluation points, and the output is the displayed message.

[1376] Step 11:

[1377] The server saves the user's text input and the responses generated by the generative AI as a conversation log, and records the user's grades in a database, for example, using MySQL or PostgreSQL. The input is the text input, responses, and evaluation score, and the output is the saved log and grades.

[1378] Step 12:

[1379] The server generates specific growth feedback based on the user's past performance and the recognition results of the emotion engine, and sends it to the device. For example, advice such as "Pay more attention to rhythm" is provided. The input is past performance and emotion data, and the output is the generated feedback message.

[1380] Step 13:

[1381] The server performs a procedure to provide a special device model to a user who meets a specific condition (e.g., wins a contest). The input is the user's performance, and the output is the special device model.

[1382] (Application example 2)

[1383] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1384] Conventional virtual stores lacked personalized product suggestions that took user emotions into consideration, making it difficult for users to achieve consistent satisfaction. Furthermore, the quality of suggestions was uniform, and specific feedback that took into account users' emotions and past behavioral history was not provided. As a result, improvements to the customer experience and continuous customer engagement were lacking.

[1385] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1386] In this invention, the server includes means for acquiring a text input or a voice input from a user, means for generating a plurality of responses to the text input or the voice input using generative artificial intelligence, means for utilizing an emotion engine for recognizing emotions from the user's text input or the voice input, and means for adjusting the plurality of responses based on emotion data recognized by the emotion engine, thereby making it possible to provide personalized product suggestions and appropriate feedback based on emotions to the user.

[1387] "User input" refers to information that a user inputs as text or voice via a device such as a smartphone or smart glasses.

[1388] "Generative artificial intelligence" is a general term for artificial intelligence that automatically generates appropriate responses and suggestions to user input based on pre-trained data.

[1389] An "emotion engine" is software or algorithms that analyze and recognize emotions and moods from user input such as text or voice.

[1390] "Response adjustment" refers to the process of re-adjusting the generated response to an optimal form based on the user's emotional data, past behavioral history, etc.

[1391] "Product suggestions" are recommendations that aim to introduce appropriate products to users, taking into consideration their input information and emotional data.

[1392] "Personalized suggestions" are suggestions that are optimized for each individual user based on their individual preferences, emotions, past behavioral history, etc.

[1393] "Emotion data" refers to data obtained as a result of analyzing and recognizing a user's emotions and moods.

[1394] A "conversation log" is a record of the dialogue between the user and the system, and is used for later analysis and feedback.

[1395] "Score Recording" refers to storing in a database an assessment of a user's performance based on their activities and responses.

[1396] The present invention provides a system that provides an "AI personal shopping assistant" for virtual stores that makes personalized product recommendations based on the user's emotions. This system is realized through the following steps:

[1397] Getting User Input

[1398] Users can use their smartphones or smart glasses to make shopping inquiries by text or voice input. For example, a user might say, "What clothes do you recommend for fall?"

[1399] emotion recognition

[1400] The server receives the user's text or voice input and uses an emotion engine to analyze the user's emotions, for example, whether the user's input expresses emotions such as "joy" or "excitement."

[1401] Generating a response

[1402] The server sends the user's input to a generative artificial intelligence (AI model) that generates multiple responses, which are automatically generated based on the user's request.

[1403] Response adjustment

[1404] Based on the emotional data recognized by the emotion engine, the server adjusts the generated responses, for example, filtering the responses to suggest particularly salient products if the user expresses "excitement."

[1405] View Suggestions

[1406] The terminal displays the product suggestions received from the server to the user. For example, the terminal may display a message saying, "We have some highly recommended items for you!"

[1407] Recording and feedback

[1408] The server stores the user's conversation log and emotional data, and records the results based on the results. This allows for feedback based on the user's past behavioral history and emotional data.

[1409] Providing special devices

[1410] Users who meet certain conditions will be offered special devices and offers. For example, users who have consistently received high ratings over a long period of time will be offered special discount codes and exclusive items.

[1411] Hardware and software used

[1412] Hardware: Smartphones, smart glasses

[1413] Software: Emotion engine, generative artificial intelligence (AI model)

[1414] Examples and prompts

[1415] Specific examples

[1416] User types "I want a warm jacket to wear in the fall"

[1417] The system recognizes the emotion about "warm jacket" as "enjoyment."

[1418] Suggestion: "I have a particularly recommended warm jacket! Check it out here."

[1419] Prompt statement

[1420] User Submitted: "I want a warm jacket to wear in the fall."

[1421] Generative AI model prompt: "Product suggestions based on user request: I want a warm jacket to wear in the fall."

[1422] As described above, the present invention is a system that combines emotion recognition and generative AI models to provide personalized shopping suggestions based on the user's emotions, thereby enabling users to have a more satisfying shopping experience.

[1423] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1424] Step 1:

[1425] A user uses a smartphone or smart glasses to input shopping-related text or voice input. For example, the user might input, "Tell me what clothes you recommend for fall." This input becomes the initial input data for the system.

[1426] Step 2:

[1427] The device receives text or voice input from the user and sends the data to the server. The received input data contains the user's request. Sending the data to the server initiates the next step of the process.

[1428] Step 3:

[1429] The server analyzes the text or voice input data received from the user. It then uses an emotion engine to recognize the user's emotions. For example, it analyzes emotions such as "joy" or "sadness" from the input data and generates emotion data. This is the process of emotion recognition based on input data.

[1430] Step 4:

[1431] The server begins generating responses using the emotion data recognized by the emotion engine. It uses a generative artificial intelligence (AI model) to automatically generate multiple responses based on the user's request. Specifically, it inputs a prompt statement (e.g., "I want a warm jacket to wear in the fall") into the generative AI model, which then generates various product suggestions.

[1432] Step 5:

[1433] The server adjusts the generated responses based on the emotional data. For example, if the user is "excited," it prioritizes the most salient suggestions that match that emotion. This adjustment process results in the most appropriate suggestion being selected.

[1434] Step 6:

[1435] The server sends the adjusted response to the device, which then displays the sent suggestions to the user. For example, the device might display "We have some highly recommended items for you!" and provide specific product information.

[1436] Step 7:

[1437] The server stores the conversation log and the results of the suggestions made with the user in a database. This data includes the user's emotional data and the user's request history. This step records the user's performance and the evaluation of the suggestions.

[1438] Step 8:

[1439] The server generates user growth feedback based on the recorded data. For example, it generates a comment such as "You tend to like particularly creative suggestions" as feedback for a user who selected highly rated suggestions during a specific period.

[1440] Step 9:

[1441] The server provides special devices and offers to users who meet certain conditions. For example, users who have received high ratings over a long period of time can receive special discount codes or exclusive items. This keeps users engaged and satisfied.

[1442] Through the above processing steps, the present invention specifically realizes a system that provides personalized shopping suggestions based on the user's emotions.

[1443] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1444] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1445] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1446] [Fourth embodiment]

[1447] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1448] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1449] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1450] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1451] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1452] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1453] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1454] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1455] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1456] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1457] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1458] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1459] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1460] This invention relates to a training-type rap battle game system for elementary school students. This system uses generative artificial intelligence to generate appropriate responses to users' text input, and evaluates and judges the content of those responses, allowing users to hone their language skills while having fun.

[1461] The system includes the following components:

[1462] 1. A device that captures user text input:

[1463] Users enter their rap lines and questions into the terminal.

[1464] The terminal captures the user's text input and sends the data to the server.

[1465] 2. Servers using generative artificial intelligence:

[1466] The server receives text input submitted by a user and generates a response to the input using a plurality of generative artificial intelligence chatbots.

[1467] The server returns the generated responses to the terminal.

[1468] 3. Server that parses and evaluates the response:

[1469] The server analyzes the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score.

[1470] The server determines the winner based on these evaluations and transmits the result to the terminal.

[1471] 4. Device to view results:

[1472] The terminal displays the evaluation results and winner information received from the server to the user.

[1473] Users can check their own scores and the responses of others.

[1474] 5. Server that records conversation logs and results:

[1475] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[1476] The server records the user's performance and periodically analyzes it to generate growth feedback.

[1477] 6. Devices that provide feedback to users:

[1478] The server generates growth feedback and transmits the content to the terminal.

[1479] The device displays this feedback to the user, suggesting the next goal.

[1480] 7. Servers that provide special device models:

[1481] For users who win a contest or meet certain conditions, the server provides device models with special designs and functions.

[1482] Users can enjoy more advanced rap battles using this special device.

[1483] Program specific examples and processing

[1484] 1. Getting and sending user input:

[1485] A user inputs his / her rap into the system through a terminal. For example, when a user inputs "my rap line," the terminal receives the input and transmits it to the server.

[1486] 2. Response generation using generative artificial intelligence:

[1487] The server uses generative artificial intelligence to generate multiple responses based on the text input received from the user. For example, "AI Chatbot 1," "AI Chatbot 2," etc. each generate a different response.

[1488] 3. Evaluating responses and determining winners:

[1489] The server evaluates the generated responses in terms of grammar, rhythm, creativity, etc., and assigns a score to each one. Based on the evaluated scores, the server determines the winner and sends the result to the terminal.

[1490] 4. Results display and feedback:

[1491] The device displays the results received from the server to the user, such as "You won" or "Your rhyme was great." Additionally, the device displays feedback generated by the server, allowing the user to see where they need to improve and where they have grown.

[1492] 5. Recording of performance and providing special models:

[1493] The server records past battle results and evaluation scores in a database to track users' performance, and users who win contests will be given special device models.

[1494] As described above, the system of the present invention allows users to hone their linguistic skills and creativity through rap battles, while having fun and experiencing growth. Furthermore, the fair evaluation of generative AI can stimulate sustained interest and competitive spirit.

[1495] The processing flow will be explained below.

[1496] Step 1: Getting User Input

[1497] The device receives text input, such as rap lines or questions, from the user by the user typing the text into the device's interface.

[1498] The terminal temporarily stores the acquired text input data and prepares it for subsequent transmission to the server.

[1499] Step 2: Send text input to the server

[1500] The terminal sends the user's input data to the server, including the user ID and text content.

[1501] The server verifies the user's text input received from the terminal and begins the parsing process.

[1502] Step 3: Generative AI generates a response

[1503] The server receives the user's text input and passes it to a generative artificial intelligence to generate multiple responses.

[1504] The server temporarily stores the generated responses and prepares to evaluate them.

[1505] Step 4: Analyze and evaluate the response

[1506] The server analyzes each generated response, checking grammar, rhythm, and creativity.

[1507] The server scores the responses based on each criterion and calculates an overall score.

[1508] Step 5: Determining the Winner

[1509] The server determines the winner between the user and the generative artificial intelligence based on the calculated total score.

[1510] The server transmits the result of the game and the evaluation points to the terminal.

[1511] Step 6: View the results

[1512] The terminal displays the results of the game and the evaluation points sent from the server to the user. For example, it displays messages such as "You won" or "The quality of your rhyme was excellent."

[1513] The user checks his / her own score and the other person's response.

[1514] Step 7: Log your conversations and record your grades

[1515] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[1516] The server records the user's performance and prepares to reflect the user's progress in the next match.

[1517] Step 8: Provide growth feedback

[1518] The server generates feedback on the user's progress based on their past performance, offering specific advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[1519] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[1520] Step 9: Provide a special device model

[1521] The server processes the provision of a special device model when a user meets certain conditions, such as winning a contest.

[1522] Users will receive this special device and be able to take on more advanced rap battles.

[1523] Example 1

[1524] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1525] In conventional rap battle game systems, generating responses and evaluating user inputs is often done manually, making it difficult to provide fast and fair evaluations. Furthermore, they lacked features such as providing appropriate feedback and special devices to promote user growth. As a result, it was difficult to maintain user motivation.

[1526] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1527] In this invention, the server includes a means for receiving text input from a user, a means for generating multiple responses to the text input using generative artificial intelligence, and a means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity. This allows for fast and fair evaluation. Furthermore, by including a means for determining victory or defeat based on the evaluation results, a means for displaying the results to the user, a means for providing feedback, and a means for providing special device models to users who meet certain conditions, it is possible to maintain user motivation and promote growth.

[1528] "User" refers to an individual who uses the system to participate in rap battles and enter text, etc.

[1529] "Text input" refers to text data such as rap lines or questions that a user inputs into the system through a terminal.

[1530] "Generative AI" refers to AI technology that automatically generates responses based on user text input.

[1531] "Response" refers to text data generated by a generative artificial intelligence in response to a user's text input.

[1532] "Evaluation" refers to the act of analyzing the responses generated by generative AI in terms of grammar, rhythm, and creativity, and assigning them a score.

[1533] "Winning and Losing Determination" refers to the process of determining the winners and losers of a rap battle based on evaluation.

[1534] "Terminal" refers to the device used by a user to access the system and enter text, including, for example, a smartphone or tablet.

[1535] "Server" refers to a central processing unit that uses generative artificial intelligence to generate responses, evaluates and determines winners and losers, and provides the results to the user.

[1536] "Conversation log" refers to data that records user text input and responses generated by generative artificial intelligence.

[1537] "Results" refers to the evaluation score and win / loss history obtained by the user in the rap battle.

[1538] "Feedback" refers to information that suggests next goals and areas for improvement based on the user's performance.

[1539] "Special Device Model" refers to a device with a special design or functionality that is offered to users who win a contest or meet certain conditions.

[1540] In the rap battle game system of the present invention, users input their own rap lines and questions as text, and a generative AI system generates automatic responses, which are then evaluated to determine the winner. This system allows users to have fun while improving their verbal skills and creativity.

[1541] The system includes the following main components:

[1542] 1. A device that captures user text input

[1543] Users use devices such as smartphones and tablets to input their rap lines and questions.

[1544] The device receives the text input and sends it to the server. For example, a user might type, "No rhyme can beat you, my words are sharp and dynamite!"

[1545] 2. Servers that use generative artificial intelligence

[1546] The server receives text input submitted by the user.

[1547] The server uses generative AI such as GPT-4 and BERT to generate multiple responses. For example, GPT-4 might generate "Your words are strong, but my rap will get you off," while BERT might generate "Your words are dandy, but my rap is even more kandy."

[1548] 3. Server that analyzes and evaluates the response

[1549] The server analyzes the generated responses in terms of grammar, rhythm, and creativity, and assigns a score to each response, for example, "Grammar score: 8 / 10," "Rhythm score: 7 / 10," and "Creativity score: 9 / 10."

[1550] 4. A device that determines the winner and displays the results

[1551] The server determines the winner based on the evaluation results and transmits the result to the terminal.

[1552] The terminal displays the evaluation results and winner information received from the server to the user. For example, a message such as "You win! Your rhythm was perfect!" may be displayed.

[1553] 5. Server that records conversation logs and scores

[1554] The server saves the user's text input and the responses from the generative AI as a conversation log and records the user's performance.

[1555] 6. Devices that provide feedback

[1556] The server periodically analyzes the user's performance data and generates growth feedback.

[1557] The device displays this feedback to the user and suggests the next goal, such as "Try using more diverse words next time."

[1558] 7. Servers that provide special device models

[1559] For users who win a contest or meet certain conditions, the server provides device models with special designs and features, such as specially designed smartphones.

[1560] This allows users to hone their language skills while having fun, and fosters sustained interest and a competitive spirit through the fair evaluation of generative AI. It also encourages user growth and allows users to feel a sense of accomplishment through the rap battle game.

[1561] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1562] Step 1:

[1563] Users use their smartphones or tablets to input their rap lines and questions.

[1564] Input: User text input (e.g., "No rhyme can beat you, my words are sharp and dynamite!").

[1565] Specific operation: The user enters content into the text input field on the terminal and presses the send button.

[1566] Step 2:

[1567] The terminal transmits the received text input to the server.

[1568] Input: User text input.

[1569] Data processing: Convert text input into JSON format.

[1570] Output: JSON data to send to the server.

[1571] Specific operation: The terminal application converts the text data into JSON format and sends a POST request to the server API over the Internet.

[1572] Step 3:

[1573] The server receives text input submitted by the user and generates a response using generative artificial intelligence.

[1574] Input: JSON data received from the terminal.

[1575] Data calculation: Input the received text into generative artificial intelligence to generate a response.

[1576] Output: Multiple generated responses.

[1577] Specific operation: The server analyzes the received JSON data, inputs the text into a generative artificial intelligence model such as "GPT-4" or "BERT," and each model generates a response.

[1578] Step 4:

[1579] The server evaluates the generated responses in terms of grammar, rhythm, and creativity.

[1580] Input: The multiple responses generated.

[1581] Data Calculation: Analyze responses and score each response for grammar, rhythm, and creativity.

[1582] Output: Scored responses.

[1583] Specific operation: The server analyzes the response text and calculates scores such as "Grammar score: 8 / 10", "Rhythm score: 7 / 10", "Creativity score: 9 / 10", etc.

[1584] Step 5:

[1585] The server determines the winner based on the evaluation results and transmits the result to the terminal.

[1586] Input: The scored response.

[1587] Data calculation: Calculate the overall score and determine winners and losers.

[1588] Output: Win / loss results and evaluation score.

[1589] Specific operation: The server calculates the overall score for each response, determines the winners and losers, converts the resulting data into JSON format, and sends it to the terminal.

[1590] Step 6:

[1591] The terminal displays the evaluation results and win / loss information sent from the server to the user.

[1592] Input: Win / loss results and evaluation scores received from the server.

[1593] Data processing: Converting received data into a user-friendly format.

[1594] Output: The message to display to the user.

[1595] Specific behavior: The terminal application parses the received JSON data and displays a message such as "You win! Your rhythm was perfect!"

[1596] Step 7:

[1597] The server saves the user's text input and the responses from the generative AI as a conversation log and records the user's performance.

[1598] Input: User text input and generative AI response.

[1599] Data calculation: The received data is stored in the database.

[1600] Output: Saved conversation logs and performance data.

[1601] Specific operation: The server records the user's input data and response data in a database.

[1602] Step 8:

[1603] The server periodically analyzes the user's performance and generates growth feedback.

[1604] Input: Saved conversation logs and performance data.

[1605] Data calculations: Analyze performance data and generate feedback.

[1606] Output: Feedback content.

[1607] Specific operation: The server retrieves performance data from the database, analyzes it, and generates feedback such as "Try using more diverse words next time."

[1608] Step 9:

[1609] The server provides special device models to users who meet certain conditions.

[1610] Input: User's grade data.

[1611] Data calculation: Determine whether a specific condition is met.

[1612] Output: Decision to offer special device model.

[1613] Specific operation: The server analyzes the performance data of the users and determines that the user who wins the contest will be provided with a special device model.

[1614] (Application example 1)

[1615] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1616] Conventional interfaces between factory robots and humans have limitations in the amount and accuracy of information they can convey when conveying instructions and reports, and lack the means to improve work efficiency or enhance the enjoyment of communication. This leads to problems such as a decline in work quality and a decrease in user motivation. In particular, conventional factory robot interfaces lack a communication method using rap-style natural language communication.

[1617] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1618] In this invention, the server includes means for receiving text input from a user, means for generating multiple responses to the text input using generative artificial intelligence, means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity, means for determining whether the user won or lost based on the evaluation, means for displaying the results of the win or loss to the user, means for saving a conversation log of the text input and the responses and recording the user's performance, means for providing feedback on the user's growth based on the performance, means for providing a special device model to a user who meets specific conditions, and means for using a factory robot to communicate in natural language using rap to provide work instructions and equipment status reports, thereby enabling effective and enjoyable communication within the factory.

[1619] User Input

[1620] These are text instructions or questions that users input to factory robots.

[1621] "Generative Artificial Intelligence"

[1622] is an artificial intelligence system for generating appropriate responses to user text input.

[1623] "Response Generation"

[1624] is the process by which generative artificial intelligence creates multiple responses to a user's text input.

[1625] "evaluation"

[1626] This involves analyzing and scoring the responses generated based on criteria such as grammar, rhythm, and creativity.

[1627] "Win / Loss Judgment"

[1628] This means comparing the assessed responses and determining which is better.

[1629] "Conversation Log"

[1630] is a data file that records user text input and responses from generative artificial intelligence.

[1631] "Results"

[1632] is a performance record that combines the user's past text input and response generation results, as well as their evaluation scores.

[1633] "Growth Feedback"

[1634] This refers to the provision of advice and next goals to users based on their performance.

[1635] "Special device models"

[1636] A device with a special design or function is offered to users who meet certain conditions.

[1637] "Factory Robot"

[1638] is an automated mechanical device designed to perform work in a factory.

[1639] "Natural Language Communication"

[1640] is a method of exchanging information using human language, including communication in rap format.

[1641] "Work instructions"

[1642] This means that a user commands a factory robot to perform a specific task.

[1643] "Device Status Report"

[1644] This means that factory robots report the current status of machines and any abnormalities to the user.

[1645] The system for implementing this invention realizes communication between factory robots and workers using natural language. This system is composed of a user (worker), a factory robot, and a server.

[1646] Hardware and Software Used

[1647] Hardware: Factory robots, servers with GPUs (e.g. NVIDIA GPUs)

[1648] Software: Python, Transformers library (Hugging Face)

[1649] Operation overview

[1650] The server receives work instructions and questions entered by the user in text form and processes them using generative artificial intelligence (GPT-2 model). The generated responses are executed by factory robots, and the results are fed back to the user.

[1651] The specific operation steps are as follows:

[1652] 1. User input:

[1653] Users input work instructions and questions to factory robots in text format through a terminal, such as "The machine has stopped. What's the cause?"

[1654] 2. Sending text input:

[1655] The terminal transmits the entered text to the server.

[1656] 3. Response generation using generative artificial intelligence:

[1657] The server uses generative artificial intelligence (GPT-2 model) to generate multiple rap-style responses based on the received text input, such as "There may be something wrong with the sensor, check it immediately."

[1658] 4. Response Assessment:

[1659] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score, which determines the winner.

[1660] 5. Sending and viewing results:

[1661] The server sends the evaluation results and winning / losing information to the terminal, which then displays the received results to the user, displaying messages such as "You won" or "The quality of your rhyme was excellent."

[1662] 6. Save conversation logs and record grades:

[1663] The server logs the text inputs and responses and records the user's performance, allowing it to analyze the user's progress and provide feedback.

[1664] 7. Special device model offers:

[1665] Users who meet certain conditions (e.g., win a contest) are provided with device models with special functions and designs by the server.

[1666] Examples of concrete examples and prompts

[1667] For example, if a user inputs "The machine has stopped. What's the cause?", the generative AI will respond with "There may be an abnormality in the sensor. Check it immediately." Based on this response, the server will make an evaluation and provide feedback to the user.

[1668] Example prompt sentence:

[1669] User input: "My machine stopped working, what's causing this?"

[1670] AI response: "There may be a sensor malfunction, check it immediately."

[1671] In this way, the present invention realizes enjoyable and natural communication between factory robots and workers, thereby improving work efficiency and motivation.

[1672] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1673] Step 1:

[1674] Users input work instructions and questions to factory robots in text format via a terminal.

[1675] Input: User text instructions or questions

[1676] Output: Text data sent by the terminal to the server

[1677] How it works: The device gets the user's input and sends it to the server.

[1678] Step 2:

[1679] The server uses generative artificial intelligence (GPT-2 model) to generate multiple rap-style responses based on the received text input.

[1680] Input: Text input from users arriving at the server

[1681] Output: The generated wrapped text response

[1682] How it works: The server initializes the GPT-2 model, creates prompts to generate rap-style responses based on the input text data, feeds them to the model, and processes the model's output to generate a response.

[1683] Step 3:

[1684] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, and assigns them a score.

[1685] Input: The generated wrapped response

[1686] Output: Scores based on each criterion

[1687] How it works: The server evaluates the generated responses using an evaluation algorithm to calculate scores for grammar, rhythm, and creativity.

[1688] Step 4:

[1689] The server determines the winner based on the evaluation.

[1690] Input: Evaluation result score

[1691] Output: Winner determination result

[1692] How it works: The server runs an algorithm that compares the user's and the AI's scores and determines who wins.

[1693] Step 5:

[1694] The server transmits the evaluation results and winning / losing information to the terminal.

[1695] Input: Win / Loss Judgment Result

[1696] Output: Evaluation results and winning / losing information sent to the device

[1697] Operation: The server composes the evaluation results and winning / losing information in text format and sends them to the terminal.

[1698] Step 6:

[1699] The terminal displays the received results to the user.

[1700] Input: Evaluation results and win / loss information from the server

[1701] Output: A user-visible result display

[1702] How it works: The device analyzes the received data and displays evaluation results, feedback, and win / loss information in a user-friendly format.

[1703] Step 7:

[1704] The server stores the text inputs and responses as a conversation log and records the user's performance.

[1705] Input: User text input and generated responses

[1706] Output: Saved conversation logs and performance data

[1707] How it works: The server stores text inputs and responses in a database and analyzes and records the user's performance.

[1708] Step 8:

[1709] The server offers special device models to users who meet certain conditions.

[1710] Input: User's grade data

[1711] Output: Specific device model information

[1712] How it works: The server analyzes user performance data and notifies users who meet certain conditions to provide them with special device models.

[1713] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1714] This invention combines an emotion engine with a training-type rap battle game system for elementary school students to generate appropriate responses based on the user's emotions and provide more personalized growth feedback. This system uses generative artificial intelligence and an emotion engine to generate responses to the user's text input, and by evaluating and judging the content of those responses, users can hone their language skills while having fun.

[1715] The system includes the following components:

[1716] 1. A device that captures user text input:

[1717] Users enter their rap lines and questions into the terminal.

[1718] The terminal captures the user's text input and sends the data to the server.

[1719] 2. Servers using generative artificial intelligence:

[1720] The server receives text input submitted by a user and generates a response to the input using a plurality of generative artificial intelligence chatbots.

[1721] The server temporarily stores the generated responses and prepares to evaluate them.

[1722] 3. Emotion Recognition with Emotion Engine:

[1723] The server utilizes an emotion engine to recognize emotions from the user's text input.

[1724] The server adjusts the generative AI's response based on the recognized emotion data.

[1725] 4. Server that parses and evaluates the response:

[1726] The server analyzes each generated response, checking grammar, rhythm, and creativity.

[1727] The server scores the responses based on each criterion and calculates an overall score.

[1728] 5. Judgment of Winners and Losers:

[1729] The server determines the winner between the user and the generative artificial intelligence based on the calculated total score.

[1730] The server transmits the result of the game and the evaluation points to the terminal.

[1731] 6. Displaying the results:

[1732] The terminal displays the results of the game and the evaluation points received from the server to the user. For example, it displays messages such as "You won" or "The quality of your rhyme was excellent."

[1733] The user checks his / her own score and the other person's response.

[1734] 7. Conversation Log and Record of Performance:

[1735] The server stores the user's text input and the responses from the generative artificial intelligence as a conversation log.

[1736] The server records the user's performance and prepares to reflect the user's progress in the next match.

[1737] 8. Providing growth feedback:

[1738] The server generates feedback on the user's progress based on their past performance and the recognition results of the emotion engine, providing advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[1739] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[1740] 9. Special device model offers:

[1741] The server processes the provision of a special device model when the user meets a specific condition, such as winning a contest.

[1742] Users will receive this special device and be able to take on more advanced rap battles.

[1743] Program specific examples and processing

[1744] 1. Getting and sending user input:

[1745] A user inputs his / her rap into the system through a terminal. For example, when a user inputs "my rap line," the terminal receives the input and transmits it to the server.

[1746] 2. Response generation using generative artificial intelligence:

[1747] The server uses generative artificial intelligence to generate multiple responses based on the text input received from the user. For example, "AI Chatbot 1," "AI Chatbot 2," etc. each generate a different response.

[1748] 3. Emotion Recognition with Emotion Engine:

[1749] The server uses an emotion engine to recognize emotions from the user's text input, for example, analyzing whether the user is expressing "anger" or "joy."

[1750] 4. Adjusting the response:

[1751] The server adjusts the response of the generative AI based on the output of the emotion engine. For example, if the user expresses anger, it selects a response that will alleviate that emotion.

[1752] 5. Evaluating responses and determining winners:

[1753] The server evaluates the generated responses in terms of grammar, rhythm, and creativity, assigning each a score, and also considers the user's emotions to calculate an overall score to determine the winner.

[1754] 6. Results display and feedback:

[1755] The terminal displays the evaluation results and the results of the game received from the server to the user, and also provides feedback including the results of analysis by the emotion engine.

[1756] 7. Recording of performance and providing special models:

[1757] The server records users' match results and evaluation scores in a database and provides special device models to users who meet certain conditions.

[1758] As described above, the system of the present invention allows users to hone their linguistic skills and creativity through rap battles while providing a personalized experience that takes emotions into consideration. Furthermore, the combination of generative AI and an emotion engine provides fairer and more effective feedback, promoting sustained interest and learning.

[1759] The processing flow will be explained below.

[1760] Step 1: Getting User Input

[1761] The terminal receives text input from the user, such as a rap line or a question, and the user enters the rap using the terminal's interface.

[1762] The terminal temporarily stores the acquired text input data and prepares to send it to the server.

[1763] Step 2: Send text input to the server

[1764] The terminal sends the user's input data, including the user ID and text content, to the server.

[1765] The server verifies the user's text input received from the terminal and begins the parsing process.

[1766] Step 3: Emotion recognition by the emotion engine

[1767] The server uses an emotion engine to recognize emotions from the user's text input, for example, analyzing whether the user's input contains "anger" or "joy."

[1768] The server stores the recognized emotion data and reflects it in the response generation of the generative artificial intelligence.

[1769] Step 4: Generative AI response generation

[1770] Based on the results of the emotion engine, the server passes the user's text input to a generative AI system, which generates multiple responses. For example, if the user's emotion is "anger," it generates a response that alleviates the emotion.

[1771] The server temporarily stores the generated responses, ready to be evaluated next.

[1772] Step 5: Analyze and evaluate the response

[1773] The server analyzes each generated response, specifically checking grammar, rhythm, and creativity.

[1774] The server scores the responses based on each criterion and calculates an overall score.

[1775] Step 6: Determining the Winner

[1776] The server determines the winner between the user and the generative AI based on the calculated total score, and determines the winner and the reason for the result.

[1777] The server transmits the result of the game and the evaluation points to the terminal.

[1778] Step 7: View the results

[1779] The terminal displays the winning / losing result and each evaluation point received from the server to the user, for example, displaying a message such as "You won" or "The quality of your rhyme was excellent."

[1780] The user checks his / her own score and the other person's response.

[1781] Step 8: Log your conversations and record your grades

[1782] The server stores the user's text input and the responses from the generative AI as a conversation log, which records the history of the match.

[1783] The server records the user's performance and periodically analyzes it to generate growth feedback.

[1784] Step 9: Provide growth feedback

[1785] The server generates feedback on the user's progress based on their past performance and the recognition results of the emotion engine, providing specific advice such as "Pay more attention to rhythm" or "Try to improve your creativity."

[1786] The terminal displays the generated feedback to the user and prompts the user to set the next goal.

[1787] Step 10: Provide a special device model

[1788] The server processes the provision of a special device model when the user meets a specific condition, such as winning a contest.

[1789] The server prepares a special device model, notifies the user, and sends it.

[1790] Users will receive this special device and be able to take on more advanced rap battles.

[1791] The above is the specific processing flow of the system of the present invention. This system allows users to improve their linguistic skills and creativity while having fun. Furthermore, the introduction of an emotion engine allows for more personalized feedback and promotion of growth.

[1792] Example 2

[1793] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1794] Conventional rap battle game systems have the problem that the responses generated in response to a user's text input are fixed and cannot provide personalized feedback that takes into account the user's emotions. This limits the opportunities for users to effectively improve their rap skills and makes it difficult to maintain interest. Furthermore, the evaluation criteria for text input and responses are unclear, which can lead to unfair judgment of victory or defeat.

[1795] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1796] In this invention, the server includes means for acquiring a user's text input, means for generating multiple responses to the text input using a generative artificial intelligence, means for recognizing the user's emotion in response to the text input, means for adjusting the responses of the generative artificial intelligence based on the recognized emotion, means for analyzing the multiple responses and evaluating them based on grammar, rhythm, and creativity, means for determining whether the user wins or loses based on the evaluation, means for displaying the results of the win or loss to the user, means for saving a conversation log of the text input and the responses and recording the user's performance, means for providing feedback on the user's growth based on the performance, and means for providing a special device model to a user who meets certain conditions. This makes it possible to provide personalized feedback according to the user's emotions and determine whether the user wins or loses based on fair and clear evaluation criteria.

[1797] "User text input" refers to text data such as rap lines and questions that a user inputs via a terminal.

[1798] "Generative AI" is an AI model that has the ability to generate responses in natural language based on user text input.

[1799] A "response" is a reply message that the generative artificial intelligence generates in response to a user's text input.

[1800] An "emotion engine" is a system that has the ability to recognize emotions from user text input.

[1801] "Grammar, rhythm, and creativity" are items used as evaluation criteria for the responses generated, and are indicators for evaluating the accuracy and originality of the responses.

[1802] "Winning and losing determination" is the process of comparing the responses of the user and the generative AI based on evaluation criteria to determine which is better.

[1803] A "conversation log" is data that records the user's text input and the generative artificial intelligence's responses.

[1804] "Feedback" is the process of providing information based on a user's past performance that will help them improve and set goals for the next time.

[1805] A "special device model" is a device with special functions or designs that is provided to users who meet certain conditions.

[1806] The present invention combines generative artificial intelligence and an emotion engine in a training-type rap battle game system for elementary school students to generate appropriate responses according to the user's emotions and provide more personalized growth feedback. Specific embodiments for carrying out the present invention are described below.

[1807] 1. System Overview

[1808] This system is a training-type rap battle game system that allows users to hone their verbal skills and experience growth while having fun. This system uses generative artificial intelligence and an emotion engine to generate responses to the user's text input, and evaluates and judges the content of those responses.

[1809] 2. Hardware and Software Used

[1810] Terminal: A device that accepts text input by a user, such as a smartphone, tablet, or PC.

[1811] Server: A computer system that receives user input and generates and evaluates responses using generative artificial intelligence or emotion engines. Specifically, this includes cloud servers and dedicated servers.

[1812] Generative artificial intelligence models: Use large-scale language models such as OpenAI's GPT-4.

[1813] Emotion engine: Uses Azure Cognitive Services' emotion recognition API, etc.

[1814] 3. Detailed System Processing

[1815] Getting and Sending User Input

[1816] Users can input their rap lines and questions in text format through the device. For example, if a user types, "Today I'm going to write the best rap ever!", the device temporarily stores this data and sends it to the server.

[1817] Response generation using generative artificial intelligence

[1818] The server converts the received user input into a prompt and sends it to the generative AI. For example, it generates a prompt such as, "The user is expressing their enthusiasm to create the best rap. Please generate the optimal response to this." The generated responses are, "Your enthusiasm is great. Don't forget the rhythm, and keep going!" or "Show us your best rap and surprise everyone!"

[1819] Emotion recognition by emotion engine

[1820] The server uses an emotion engine to perform emotion analysis based on the user's text input. For example, it identifies whether the user's text contains emotions such as "anger" or "joy." This is done using the emotion recognition API from Azure Cognitive Services.

[1821] Adjusting and evaluating responses

[1822] The generative AI's response is adjusted based on the recognized emotion. For example, if the user expresses the emotion of "anger," the server selects a response that will alleviate that emotion. The server then evaluates the generated response in terms of grammar, rhythm, and creativity. Natural language processing tools used include NLTK and spaCy.

[1823] Judging and displaying the results

[1824] Based on the evaluation, the server determines whether the user or the generative AI has won or lost. The results of the win / loss and the evaluation points are sent to the device, which then displays them to the user. For example, messages such as "You won!" or "Pay more attention to your sense of rhythm" are displayed.

[1825] Conversation log and grade record

[1826] The server stores the user's text input and the responses from the generative AI as a conversation log. MySQL or PostgreSQL is used as the database management system. The server also records the user's performance and uses it for growth feedback.

[1827] 4. Feedback and special device model submissions

[1828] The server generates feedback to promote growth based on the user's past performance and the recognition results of the emotion engine. For example, it may provide advice such as "Pay more attention to rhythm." Furthermore, if a user meets certain conditions (e.g., wins a contest), the server will provide a special device model.

[1829] As described above, the present invention is a system that combines generative artificial intelligence and an emotion engine to provide personalized responses and feedback according to the user's emotions, allowing users to hone their verbal skills and creativity through rap battles.

[1830] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1831] Step 1:

[1832] The user inputs their rap line or question into the device. For example, if they input "Today I'm going to give you the best rap ever!", the user's input data is temporarily stored on the device. This input data is then ready to be sent to the server in the next step.

[1833] Step 2:

[1834] The terminal receives user input data and sends it to the server using the appropriate protocol (e.g., HTTP request in JSON format). An internet connection is required. The input is the user's text data, and the output is the data sent to the server.

[1835] Step 3:

[1836] The server receives text data sent by the user and converts it into a prompt to be sent to the generative AI model. For example, it generates a prompt such as, "The user is expressing their enthusiasm for the best lap. Please generate the optimal response to this." The input is the user's text data, and the output is the prompt.

[1837] Step 4:

[1838] The server uses generative artificial intelligence (e.g., a large-scale language model) to generate multiple responses based on the prompt. For example, responses such as "Your enthusiasm is great! Don't forget the rhythm, let's keep going!" or "Let's surprise everyone with our best rap!" are generated. The input is the prompt, and the output is the multiple generated responses.

[1839] Step 5:

[1840] The server uses an emotion engine based on the generated responses to recognize emotions from the user's original text. For example, it uses an emotion recognition API to analyze whether the user's text contains emotions such as "anger" or "joy." The input is the user's text data, and the output is the recognized emotion data.

[1841] Step 6:

[1842] The server adjusts the generative AI's response based on the recognized emotion data. For example, if the user's emotion is "anger," it selects a response that will alleviate that emotion. The input is emotion data and multiple responses, and the output is the adjusted response.

[1843] Step 7:

[1844] The server analyzes the tailored responses and evaluates them in terms of grammar, rhythm, and creativity using natural language processing tools, such as NLTK and spaCy, to measure and score the responses' grammatical accuracy, rhythm, and creativity. The input is the tailored responses, and the output is the evaluation score.

[1845] Step 8:

[1846] The server determines the outcome of the game between the user and the AI ​​based on the evaluation score. For example, it compares the scores of the user and the AI ​​to determine which is better. The input is the evaluation score, and the output is the outcome of the game.

[1847] Step 9:

[1848] The server sends the result of the game and the evaluation points together to the terminal as an HTTP response. The input is the result of the game and the evaluation points, and the output is the transmitted data.

[1849] Step 10:

[1850] The terminal displays the received winning / losing result and evaluation points to the user. For example, it may display messages such as "You win!" or "Pay more attention to your sense of rhythm." The input is the winning / losing result and evaluation points, and the output is the displayed message.

[1851] Step 11:

[1852] The server saves the user's text input and the responses generated by the generative AI as a conversation log, and records the user's grades in a database, for example, using MySQL or PostgreSQL. The input is the text input, responses, and evaluation score, and the output is the saved log and grades.

[1853] Step 12:

[1854] The server generates specific growth feedback based on the user's past performance and the recognition results of the emotion engine, and sends it to the device. For example, advice such as "Pay more attention to rhythm" is provided. The input is past performance and emotion data, and the output is the generated feedback message.

[1855] Step 13:

[1856] The server performs a procedure to provide a special device model to a user who meets a specific condition (e.g., wins a contest). The input is the user's performance, and the output is the special device model.

[1857] (Application example 2)

[1858] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1859] Conventional virtual stores lacked personalized product suggestions that took user emotions into consideration, making it difficult for users to achieve consistent satisfaction. Furthermore, the quality of suggestions was uniform, and specific feedback that took into account users' emotions and past behavioral history was not provided. As a result, improvements to the customer experience and continuous customer engagement were lacking.

[1860] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1861] In this invention, the server includes means for acquiring a text input or a voice input from a user, means for generating a plurality of responses to the text input or the voice input using generative artificial intelligence, means for utilizing an emotion engine for recognizing emotions from the user's text input or the voice input, and means for adjusting the plurality of responses based on emotion data recognized by the emotion engine, thereby making it possible to provide personalized product suggestions and appropriate feedback based on emotions to the user.

[1862] "User input" refers to information that a user inputs as text or voice via a device such as a smartphone or smart glasses.

[1863] "Generative artificial intelligence" is a general term for artificial intelligence that automatically generates appropriate responses and suggestions to user input based on pre-trained data.

[1864] An "emotion engine" is software or algorithms that analyze and recognize emotions and moods from user input such as text or voice.

[1865] "Response adjustment" refers to the process of re-adjusting the generated response to an optimal form based on the user's emotional data, past behavioral history, etc.

[1866] "Product suggestions" are recommendations that aim to introduce appropriate products to users, taking into consideration their input information and emotional data.

[1867] "Personalized suggestions" are suggestions that are optimized for each individual user based on their individual preferences, emotions, past behavioral history, etc.

[1868] "Emotion data" refers to data obtained as a result of analyzing and recognizing a user's emotions and moods.

[1869] A "conversation log" is a record of the dialogue between the user and the system, and is used for later analysis and feedback.

[1870] "Score Recording" refers to storing in a database an assessment of a user's performance based on their activities and responses.

[1871] The present invention provides a system that provides an "AI personal shopping assistant" for virtual stores that makes personalized product recommendations based on the user's emotions. This system is realized through the following steps:

[1872] Getting User Input

[1873] Users can use their smartphones or smart glasses to make shopping inquiries by text or voice input. For example, a user might say, "What clothes do you recommend for fall?"

[1874] emotion recognition

[1875] The server receives the user's text or voice input and uses an emotion engine to analyze the user's emotions, for example, whether the user's input expresses emotions such as "joy" or "excitement."

[1876] Generating a response

[1877] The server sends the user's input to a generative artificial intelligence (AI model) that generates multiple responses, which are automatically generated based on the user's request.

[1878] Response adjustment

[1879] Based on the emotional data recognized by the emotion engine, the server adjusts the generated responses, for example, filtering the responses to suggest particularly salient products if the user expresses "excitement."

[1880] View Suggestions

[1881] The terminal displays the product suggestions received from the server to the user. For example, the terminal may display a message saying, "We have some highly recommended items for you!"

[1882] Recording and feedback

[1883] The server stores the user's conversation log and emotional data, and records the results based on the results. This allows for feedback based on the user's past behavioral history and emotional data.

[1884] Providing special devices

[1885] Users who meet certain conditions will be offered special devices and offers. For example, users who have consistently received high ratings over a long period of time will be offered special discount codes and exclusive items.

[1886] Hardware and software used

[1887] Hardware: Smartphones, smart glasses

[1888] Software: Emotion engine, generative artificial intelligence (AI model)

[1889] Examples and prompts

[1890] Specific examples

[1891] User types "I want a warm jacket to wear in the fall"

[1892] The system recognizes the emotion about "warm jacket" as "enjoyment."

[1893] Suggestion: "I have a particularly recommended warm jacket! Check it out here."

[1894] Prompt statement

[1895] User Submitted: "I want a warm jacket to wear in the fall."

[1896] Generative AI model prompt: "Product suggestions based on user request: I want a warm jacket to wear in the fall."

[1897] As described above, the present invention is a system that combines emotion recognition and generative AI models to provide personalized shopping suggestions based on the user's emotions, thereby enabling users to have a more satisfying shopping experience.

[1898] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1899] Step 1:

[1900] A user uses a smartphone or smart glasses to input shopping-related text or voice input. For example, the user might input, "Tell me what clothes you recommend for fall." This input becomes the initial input data for the system.

[1901] Step 2:

[1902] The device receives text or voice input from the user and sends the data to the server. The received input data contains the user's request. Sending the data to the server initiates the next step of the process.

[1903] Step 3:

[1904] The server analyzes the text or voice input data received from the user. It then uses an emotion engine to recognize the user's emotions. For example, it analyzes emotions such as "joy" or "sadness" from the input data and generates emotion data. This is the process of emotion recognition based on input data.

[1905] Step 4:

[1906] The server begins generating responses using the emotion data recognized by the emotion engine. It uses a generative artificial intelligence (AI model) to automatically generate multiple responses based on the user's request. Specifically, it inputs a prompt statement (e.g., "I want a warm jacket to wear in the fall") into the generative AI model, which then generates various product suggestions.

[1907] Step 5:

[1908] The server adjusts the generated responses based on the emotional data. For example, if the user is "excited," it prioritizes the most salient suggestions that match that emotion. This adjustment process results in the most appropriate suggestion being selected.

[1909] Step 6:

[1910] The server sends the adjusted response to the device, which then displays the sent suggestions to the user. For example, the device might display "We have some highly recommended items for you!" and provide specific product information.

[1911] Step 7:

[1912] The server stores the conversation log and the results of the suggestions made with the user in a database. This data includes the user's emotional data and the user's request history. This step records the user's performance and the evaluation of the suggestions.

[1913] Step 8:

[1914] The server generates user growth feedback based on the recorded data. For example, it generates a comment such as "You tend to like particularly creative suggestions" as feedback for a user who selected highly rated suggestions during a specific period.

[1915] Step 9:

[1916] The server provides special devices and offers to users who meet certain conditions. For example, users who have received high ratings over a long period of time can receive special discount codes or exclusive items. This keeps users engaged and satisfied.

[1917] Through the above processing steps, the present invention specifically realizes a system that provides personalized shopping suggestions based on the user's emotions.

[1918] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1919] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1920] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1921] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1922] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1923] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1924] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1925] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1926] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1927] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1928] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1929] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1930] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1931] 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.

[1932] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1933] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1934] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1935] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1936] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1937] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1938] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1939] The following is further disclosed regarding the above embodiment.

[1940] (Claim 1)

[1941] means for obtaining text input from a user;

[1942] means for generating a plurality of responses to said text input using generative artificial intelligence;

[1943] means for analyzing and rating said plurality of responses based on grammar, rhythm, and creativity;

[1944] means for determining whether or not a winner has been won based on the evaluation;

[1945] means for displaying the result of the win or loss to a user;

[1946] means for storing a conversation log of said text inputs and said responses and recording a user's performance;

[1947] means for providing feedback on the user's progress based on the performance;

[1948] A means for providing special device models to users who meet certain conditions;

[1949] A system including:

[1950] (Claim 2)

[1951] 10. The system of claim 1, wherein the generative artificial intelligence further comprises means for automatically generating musical beats for rap battles.

[1952] (Claim 3)

[1953] 10. The system of claim 1, wherein the special device model is provided if the user wins a contest.

[1954]

[1955] "Example 1"

[1956] (Claim 1)

[1957] means for obtaining text input from a user;

[1958] means for generating a plurality of responses to said text input using generative artificial intelligence;

[1959] means for analyzing and rating said plurality of responses based on grammar, rhythm, and creativity;

[1960] means for determining whether or not a winner has been won based on the evaluation;

[1961] means for displaying the result of the win or loss to a user;

[1962] means for storing a conversation log of said text inputs and said responses and recording a user's performance;

[1963] means for providing feedback on the user's progress based on the performance;

[1964] A means for providing special device models to users who meet certain conditions;

[1965] means for transmitting evaluation results and winning / losing information from the server to the terminal;

[1966] means for the terminal to display feedback to the user;

[1967] A system including:

[1968] (Claim 2)

[1969] 10. The system of claim 1, further comprising means for the generative artificial intelligence to generate a response based on a plurality of rap line inputs by a user and to evaluate the response.

[1970] (Claim 3)

[1971] 10. The system of claim 1, wherein the special device model is offered if the user wins an online contest.

[1972] "Application Example 1"

[1973] (Claim 1)

[1974] means for obtaining text input from a user;

[1975] means for generating a plurality of responses to said text input using generative artificial intelligence;

[1976] means for analyzing and rating said plurality of responses based on grammar, rhythm, and creativity;

[1977] means for determining whether or not a winner has been won based on the evaluation;

[1978] means for displaying the result of the win or loss to a user;

[1979] means for storing a conversation log of said text inputs and said responses and recording a user's performance;

[1980] means for providing feedback on the user's progress based on the performance;

[1981] A means for providing special device models to users who meet certain conditions;

[1982] A means for using factory robots to communicate in natural language using wrap format to provide work instructions and equipment status reports;

[1983] A system including:

[1984] (Claim 2)

[1985] 10. The system of claim 1, wherein the generative artificial intelligence further comprises means for automatically generating musical beats for rap battles.

[1986] (Claim 3)

[1987] 10. The system of claim 1, wherein the special device model is provided if the user wins a contest.

[1988] "Example 2: Combining Emotion Engines"

[1989] (Claim 1)

[1990] means for obtaining text input from a user;

[1991] means for generating a plurality of responses to said text input using generative artificial intelligence;

[1992] means for analyzing and rating said plurality of responses based on grammar, rhythm, and creativity;

[1993] means for determining whether or not a winner has been won based on the evaluation;

[1994] means for displaying the result of the win or loss to a user;

[1995] means for storing a conversation log of said text inputs and said responses and recording a user's performance;

[1996] means for providing feedback on the user's progress based on the performance;

[1997] A means for providing special device models to users who meet certain conditions;

[1998] means for recognizing a user's sentiment in response to a text input;

[1999] means for adjusting a response of a generative artificial intelligence based on the recognized emotion;

[2000] A system including:

[2001] (Claim 2)

[2002] 10. The system of claim 1, further comprising means for the generative artificial intelligence to automatically generate musical beats for the rap battle.

[2003] (Claim 3)

[2004] 10. The system of claim 1, wherein a special device model is provided if the user wins the contest.

[2005] "Application example 2 when combining emotion engines"

[2006] (Claim 1)

[2007] means for obtaining text or voice input from a user;

[2008] means for generating a plurality of responses to said text or speech input using generative artificial intelligence;

[2009] means for analyzing and rating said plurality of responses based on grammar, rhythm, and creativity;

[2010] means for determining whether a win or loss or the quality of a proposal is achieved based on the evaluation;

[2011] means for displaying the result of said determination to a user;

[2012] means for saving a conversation log of said text input or voice input and said response, and recording a user's performance;

[2013] means for providing feedback on the user's progress based on the performance;

[2014] A means for providing special devices or offers to users who meet certain conditions;

[2015] means for utilizing an emotion engine to recognize emotions from the user's text or voice input;

[2016] means for adjusting the plurality of responses based on emotion data recognized by the emotion engine;

[2017] A system including:

[2018] (Claim 2)

[2019] 10. The system of claim 1, further comprising means for the generative artificial intelligence to generate personalized product suggestions based on the user's emotions and past behavioral history.

[2020] (Claim 3)

[2021] 10. The system of claim 1, wherein the special device or offer is provided when a user meets certain shopping conditions. [Explanation of symbols]

[2022] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for obtaining text input from a user; means for generating a plurality of responses to said text input using generative artificial intelligence; means for analyzing and rating said plurality of responses based on grammar, rhythm, and creativity; means for determining whether or not a winner has been won based on the evaluation; means for displaying the result of the win or loss to a user; means for storing a conversation log of said text inputs and said responses and recording a user's performance; means for providing feedback on the user's progress based on the performance; A means for providing special device models to users who meet certain conditions; A system including:

2. The system of claim 1 , wherein the generative artificial intelligence further comprises means for automatically generating musical beats for a rap battle.

3. The system of claim 1 , wherein the special device model is provided if the user wins a contest.

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