system

Abstract

Provide a system. 【Solution means】 Communication means between a terminal and a server for uploading content, Means for generating a digital fingerprint of the uploaded content, A blockchain system for recording the generated digital fingerprint and related copyright information, AI analysis means for analyzing the popularity of content in real time, Means for proposing an optimal selling price based on the analysis result, Means for managing sales based on the proposed selling price, Communication means for exchanging information between a user and an AI chatbot, Means for providing information on market trends, A system that uses the above elements to support creators and provide support at each stage.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Unexamined Patent Application Publication No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In modern times, many content creators publish their works on online platforms to seek monetization. However, problems such as insufficient protection of the copyright of works and concentration of revenues on some top creators have arisen. Furthermore, if an appropriate selling price is not set, there is a possibility that creators cannot obtain sufficient revenues. These problems have reduced the motivation of creators and become factors hindering the sustainable development of the content business. 【Means for Solving the Problems】 【0005】 This invention solves the above problems by providing an AI-based system that protects content creators' works and supports effective monetization. This system enhances copyright protection through content uploading, digital fingerprint generation, and blockchain-based copyright information recording. It also maximizes creators' earnings by performing real-time popularity analysis using AI and proposing the optimal selling price based on the results. Furthermore, it contributes to the development of a sustainable content business by supporting the professional growth of creators through user support and market trend information provided using an AI chatbot. 【0006】 A "terminal" is an electronic device that a user uses to upload content. 【0007】 A "server" is a central system that receives and processes data sent from terminals. 【0008】 A "digital fingerprint" is an identification code generated to determine the uniqueness of content. 【0009】 Blockchain is a distributed database technology for securely recording and storing data such as copyright information. 【0010】 "AI analysis methods" refer to systems that use artificial intelligence to analyze the popularity of content and market trends. 【0011】 The "method for suggesting a selling price" is a function that presents the optimal price to the creator based on data analyzed by AI. 【0012】 An "AI chatbot" is an artificial intelligence program that interacts with users to retrieve information or ask questions. 【0013】 "Market trend information" refers to data about the current state and changes in the market that affect content sales. [Brief explanation of the drawing] 【0014】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, when an emotion engine is combined. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0015】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0016】 First, the terms used in the following description will be explained. 【0017】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0018】 In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0019】 In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc. 【0020】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0021】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0022】 [First Embodiment] 【0023】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0024】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0025】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0026】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0027】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0028】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0029】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0030】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0031】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0032】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0033】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0034】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0035】 This invention provides an AI-based system for content creators to securely manage and effectively monetize their works. The system begins with the user uploading content to a server using a device. The server generates a digital fingerprint for the received content and records this fingerprint, along with associated copyright information, on a blockchain. This ensures that the rights to the work are properly protected. 【0036】 Furthermore, the server uses AI analysis tools to analyze the popularity of uploaded content in real time. Based on the data obtained from this analysis, the server proposes the optimal selling price to the user. This pricing proposal is crucial support for users in maximizing their revenue. 【0037】 Users can interact with the AI ​​chatbot through their device, obtaining necessary information and feedback. This facilitates smooth communication between the user and the server. The server, in turn, provides users with information on market trends and data to optimize content sales strategies. 【0038】 As a concrete example, consider a scenario where a creator registers a new illustration on a marketplace. Users select artwork on their devices and upload it to a server. The server generates a digital fingerprint and stores copyright information on the blockchain, helping to prevent theft. AI analysis tools quickly determine the popularity of the illustration and suggest the optimal price. This allows users to start selling their work at the suggested price and generate revenue at the right time. Furthermore, by constantly monitoring market trends, new sales opportunities and appropriate promotional strategies can be selected. 【0039】 By integrating these elements, we can provide comprehensive support to creators and contribute to the sustainable development of their businesses. 【0040】 The following describes the processing flow. 【0041】 Step 1: 【0042】 The user selects content using their device and uploads it to the server. The device first verifies which file has been selected, and then sends the selected content data to the server. 【0043】 Step 2: 【0044】 The server generates a digital fingerprint of the received content using an algorithm. This digital fingerprint indicates the uniqueness of the work and is used as data necessary for subsequent copyright management. 【0045】 Step 3: 【0046】 The server records the generated digital fingerprint and associated copyright information on the blockchain. This ensures that content is not tampered with and that evidence is preserved. 【0047】 Step 4: 【0048】 The server uses AI analysis tools to analyze the popularity of content in real time. This analysis includes user counts, view counts, and past sales data, collecting data to evaluate market trends and the acceptance of the work. 【0049】 Step 5: 【0050】 The server calculates the optimal selling price based on the analysis results and notifies the user's terminal of this information. This suggested price is individually optimized and serves as reference information for the user to use when setting their own prices. 【0051】 Step 6: 【0052】 Users can interact with an AI chatbot through their device to receive advice on sales strategies for their artwork and feedback based on their orders. The chatbot can also provide information on specific sales promotion methods and target markets. 【0053】 Step 7: 【0054】 The server collects the latest market trends and provides them to users regularly. This allows users to understand market changes and adjust their sales strategies in real time. 【0055】 Step 8: 【0056】 Users eventually begin selling their content at optimized pricing. The server continuously monitors sales data and suggests revised pricing and promotional strategies as needed. 【0057】 (Example 1) 【0058】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0059】 Content creators face numerous challenges in securely managing their work and effectively monetizing it. Specifically, establishing measures to prevent misuse of their work, analyzing demand in a timely manner to set appropriate prices, and developing sales strategies that align with market trends are not easy tasks, and a comprehensive system is needed to address these issues. 【0060】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0061】 In this invention, the server includes means for communication between an information device and an information processing device for uploading content, means for generating a digital fingerprint of the uploaded information, and a distributed database system for recording the generated digital fingerprint and associated rights protection information. This enables secure identification and rights protection of content, as well as analysis of market demand and dynamic pricing. 【0062】 "Content" refers to information expressed in digital format, including images, music, text, and videos—works created by creators. 【0063】 "Information device" refers to a terminal or computer device used by a user, and is a device that enables content uploading and interaction with AI chatbots. 【0064】 An "information processing device" refers to a central device that manages, analyzes, and records content, such as a server or cloud computing system. 【0065】 "Communication means" refers to technologies and protocols for sending and receiving data between information devices and information processing devices, or between other systems. 【0066】 A "digital fingerprint" is a unique identifier generated for content, calculated using a hash function or similar method. 【0067】 "Rights protection information" refers to data related to the legal rights of content, such as copyright and ownership rights. 【0068】 A "distributed database system" is a system in which data is distributed and stored across multiple nodes, and typically uses blockchain technology to prevent data tampering. 【0069】 "Artificial intelligence analysis tools" refer to functions that utilize AI technology to analyze the popularity of content and market trends in real time. 【0070】 A "generative AI model" refers to an AI system that uses machine learning algorithms to learn patterns from data and generate new information. 【0071】 An "artificial intelligence conversational robot" refers to an AI system that uses natural language processing technology to interact with users, answer questions, and provide information. 【0072】 "Market trends" refer to information that reflects changes in consumer interests and needs, as well as economic conditions, and are factors that influence sales strategies. 【0073】 The system of this invention provides an integrated environment for content creators to securely manage their works and effectively monetize them. This system is realized by combining information devices, information processing devices, and various AI technologies. 【0074】 Users first select their artwork using their own device (information device) and upload it to an information processing device (server). This information device provides an interface for selecting content and has the ability to communicate with the server. 【0075】 The server generates a unique digital fingerprint for the received content. Technologies such as hash functions are used for this generation. The generated digital fingerprint and associated rights protection information are recorded in a tamper-proof, decentralized database system (e.g., blockchain). 【0076】 Furthermore, the server uses artificial intelligence analysis tools to analyze the market popularity of uploaded content in real time. This analysis is performed using data analysis methods based on AI models, and the generative AI model generates prompts to predict how the user's content will be received. This allows the server to offer the user the optimal selling price and help maximize revenue. 【0077】 Users interact with an artificial intelligence conversational robot provided by the server using a terminal. This allows users to obtain additional information about proposed sales prices or inquire about market trends. This function uses natural language processing technology to generate appropriate output in response to user input. 【0078】 As a concrete example, consider a scenario where a user lists a new digital illustration on an online marketplace. The user selects an illustration on their device and uploads it to a server. The server generates a digital fingerprint of the illustration and records the rights protection information on the blockchain. AI analyzes the popularity of the illustration in the marketplace and suggests an appropriate selling price to the user. Users who accept this price suggestion can then begin selling their illustration on the marketplace. 【0079】 An example of a prompt to input into a generative AI model is the specific instruction, "Suggest the optimal pricing for selling a new digital illustration on an online marketplace. The target marketplace is an art platform aimed at young people." This prompt allows the generative AI model to suggest the best approach for the marketplace. 【0080】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0081】 Step 1: 【0082】 The user uses a device to select content and upload it to the server. The user uses the device's file selection interface to choose the image or music files they want to upload. The selected files are transferred from the device to the server via communication. The input is the content file, and the output is the content stored on the server. 【0083】 Step 2: 【0084】 The server generates a digital fingerprint for the received content. The server uses a hash function to calculate a unique identifier for the content data. This identifier becomes the digital fingerprint. The input is the uploaded content data, and the output is its digital fingerprint. 【0085】 Step 3: 【0086】 The server records the generated digital fingerprint and copyright information in a distributed database system. The server collects metadata related to the fingerprint and copyright and securely records it using blockchain technology. The input is the digital fingerprint and copyright information, and the output is the data recorded in the distributed database. 【0087】 Step 4: 【0088】 The server uses AI analysis tools to analyze the popularity of content in real time. The server uses a generative AI model to score content based on market data and prompt text. The input is a digital fingerprint and prompt text, and the output is the analyzed popularity data. 【0089】 Step 5: 【0090】 The server proposes the optimal selling price to the user based on the analysis results. The server calculates the price using an algorithm based on popularity data and notifies the user's terminal of the proposed price. The input is popularity data, and the output is optimized selling price information. 【0091】 Step 6: 【0092】 Users interact with an AI chatbot through their device to obtain additional information about the proposed price. When a user enters a question into the chatbot, the chatbot generates and presents an answer using a generative AI model. The input is the user's question, and the output is the chatbot's answer. 【0093】 Step 7: 【0094】 The server analyzes market trends and generates market reports to provide users with timely information. The server collects market trend data, analyzes it using an AI model, and compiles it into a report. The input is market data, and the output is the generated market report. 【0095】 (Application Example 1) 【0096】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0097】 In modern society, content creators are required to safely manage their works and effectively monetize them. However, with the rapid spread of digital content, the risks of content theft and copyright infringement are increasing. Furthermore, it is not easy to grasp trends in diverse markets and achieve sales at fair prices. It is necessary to solve these challenges and provide an environment in which content creators can work with peace of mind. 【0098】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0099】 In this invention, the server includes means for communication between an information terminal and an information processing device for uploading content, means for generating a digital fingerprint of the uploaded data, a distributed ledger system for recording the generated digital fingerprint and associated rights information, artificial intelligence analysis means for instantly analyzing the popularity of the data, means for proposing an optimal offering price based on the analysis results, means for managing distribution based on the proposed offering price, communication means for exchanging information between the user and the artificial intelligence, and means for providing information on market trends. This enables content creators to securely manage their works and optimize pricing and sales strategies that take market trends into consideration. 【0100】 An "information terminal" is an electronic device used by content creators to upload data, and includes devices such as smartphones and smart glasses. 【0101】 An "information processing device" is a computer server used to process and analyze received data, and is a device that handles communication and data storage. 【0102】 A "digital fingerprint" is a distinctive piece of digital information created to guarantee the uniqueness of digital data, and is used for data identification and copyright protection. 【0103】 A "distributed ledger system" is a system that utilizes blockchain technology to record and manage digital fingerprints and related information. 【0104】 "Artificial intelligence analysis methods" refer to methods that use artificial intelligence technology to analyze data and evaluate its popularity and related information in real time. 【0105】 "Methods for proposing a price" refer to methods for deriving and proposing the optimal price based on analyzed data and considering market conditions. 【0106】 "Means of managing distribution" refers to means of effectively distributing content and optimizing sales based on the proposed pricing. 【0107】 "Artificial incompetence" refers to conversational software agents that automatically engage in dialogue with users and provide information; they are also known as AI chatbots. 【0108】 This invention provides a system that enables content creators to securely manage and effectively monetize their work. The system is configured as follows: 【0109】 First, users upload their digital content to a server using an information terminal, such as a smartphone or smart glasses. The server generates a digital fingerprint for the received content and records this digital fingerprint and associated rights information in a distributed ledger system. This makes it possible to identify the content and ensures copyright status. 【0110】 Next, the server uses artificial intelligence analysis tools to instantly analyze the popularity of the uploaded data. This artificial intelligence uses TENSORFLOW® or similar AI engines. Based on the analyzed data, a system for suggesting a price is activated, showing the user the optimal price considering market trends. 【0111】 Furthermore, users can send questions and instructions to the system via artificial intelligence and receive corresponding information in real time. This artificial intelligence utilizes conversational agents such as Dialogflow or GPT models. 【0112】 As a concrete example, a creator who has produced a new illustration takes a picture of the work with their smartphone and uploads it to the system. The server automatically generates a fingerprint of the work and stores it on the blockchain. The system then analyzes the market demand for that illustration and proposes the optimal selling price to the creator. 【0113】 The introduction of this system allows creators to securely manage their work and increase revenue through appropriate pricing. The generative AI model is effectively utilized by using example prompts such as, "Analyze the popularity of uploaded content and suggest the optimal selling price. Also, suggest effective promotional strategies as advice for users." 【0114】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0115】 Step 1: 【0116】 The user uploads digital content to the server using an information terminal. The input is the user's content data, and the output is the data transfer to the server. In this step, the content data is transmitted through the operation of the information terminal. 【0117】 Step 2: 【0118】 The server generates a digital fingerprint for the received content data. The input is the content data obtained in step 1, and the output is the generated digital fingerprint. The algorithm for generating the digital fingerprint is executed to create unique identification information for the content. 【0119】 Step 3: 【0120】 The server records the digital fingerprint and associated rights information in a distributed ledger system. The input is the digital fingerprint and rights information generated in step 2, and the output is the recording to the distributed ledger system. Blockchain technology is used to store the digital fingerprint and rights information in a tamper-proof manner. 【0121】 Step 4: 【0122】 The server uses artificial intelligence analysis tools to analyze the popularity of the content. The input is the content data uploaded in step 1, and the output is the analyzed popularity data. AI tools such as TensorFlow are used to evaluate and analyze the data and generate content ratings. 【0123】 Step 5: 【0124】 The server proposes the optimal price based on the analyzed popularity data. The input is the popularity data obtained in step 4, and the output is the proposed price. A "generative AI model" is used to analyze market trends and demand and present a fair price to the user. 【0125】 Step 6: 【0126】 The user reviews the information suggested through the AI ​​and makes adjustments or provides instructions as needed. The input is the price suggestion provided in step 5, and the output is the user's feedback. Through interaction with the AI, the optimal pricing strategy for the buyer is determined. 【0127】 Step 7: 【0128】 The server manages distribution and begins selling content based on user selection. The input is user feedback obtained in step 6, and the output is content sales management information. Preparation for market release is carried out based on appropriate promotional measures and commercialization strategies. 【0129】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0130】 This invention is an AI-based system for supporting content creators, incorporating an emotion engine that recognizes user emotions. The system begins with the user uploading content to a server using a terminal. The server receives the content, generates a digital fingerprint, and records the relevant information on a blockchain. Subsequently, the server uses AI analysis tools to analyze the popularity of the content and proposes an optimal selling price to the user. 【0131】 This system utilizes an emotion engine in the interaction between the user and the AI ​​chatbot. The emotion engine analyzes the nuances of the user's voice and text to recognize their emotional state. Based on these results, the AI ​​chatbot responds with appropriate tone and content, making the information the user receives more personalized. 【0132】 As a concrete example, consider a scenario where a creator uploads their music and consults with an AI chatbot about sales strategies. The user uploads their work to a server via their device, and a digital fingerprint is recorded on the blockchain. The server analyzes the popularity of the work and notifies the user of a suggested price. Furthermore, once the user begins interacting with the chatbot, an emotion engine analyzes the tone of the user's voice, and if it detects excitement, the AI ​​chatbot responds with an energetic response that matches that state. This makes the user feel that the conversation matches their mood, enabling them to make better decisions. 【0133】 In addition, the server constantly collects and provides market trend information to users, allowing for timely price adjustments and promotional strategies. Thus, the system of this invention, including the emotion engine, supports the success of creators and provides the best possible path to creating a suitable business environment. 【0134】 The following describes the processing flow. 【0135】 Step 1: 【0136】 The user selects their content on their device and initiates the upload process. The device then prepares to send the selected content to the server. 【0137】 Step 2: 【0138】 The server generates a digital fingerprint for the content it receives. This fingerprint guarantees the uniqueness of the work, and the server records it along with copyright information in the blockchain system to protect rights. 【0139】 Step 3: 【0140】 The server uses AI analysis tools to analyze the popularity of uploaded content. Based on access numbers, market trends, and historical data, it runs a predictive algorithm to evaluate the content. 【0141】 Step 4: 【0142】 The server calculates the optimal selling price based on the popularity analysis results. The calculated price is notified to the user via their device, allowing them to confirm it. 【0143】 Step 5: 【0144】 The user initiates a conversation with the AI ​​chatbot using their device. The emotion engine analyzes the user's voice and input text, recognizing their emotional state in real time. 【0145】 Step 6: 【0146】 The AI ​​chatbot adjusts the content and tone of its responses based on the user's emotions, as recognized by its emotion engine. If the user's emotions are positive, it will provide encouraging responses; if they are negative, it will provide calm and empathetic responses. 【0147】 Step 7: 【0148】 The server collects the latest market trends and transmits this information to the user's terminal as needed. Users can then use this information to adjust their content sales strategies. 【0149】 Step 8: 【0150】 Users ultimately begin selling content at the proposed price confirmed through their device. Even after sales begin, the server continuously monitors revenue data and user feedback, and makes further price adjustments or sales strategy suggestions as needed. 【0151】 (Example 2) 【0152】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0153】 Traditional content distribution systems have suffered from problems such as insufficient copyright protection, inadequate content valuation, and inadequate feedback to creators. In particular, issues include unauthorized use and alteration of content, pricing based on weak evaluation criteria, and a lack of strategies based on market trends. Furthermore, the interface between creators and technological means is insufficient, making it difficult to receive personalized support. 【0154】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0155】 In this invention, the server includes data communication means between information processing devices, means for generating identification information, and a distributed ledger system. This enables enhanced protection of rights and transparency for uploaded content. Furthermore, it includes data analysis means, exchange means for exchanging information between automated dialogue programs, and means for recognizing the creator's emotions and adjusting the response content. This enables the proposal of appropriate product value and the provision of personalized feedback to creators. As a result, it is possible to formulate more effective and efficient market strategies while protecting the interests of creators. 【0156】 An "information processing device" is a device used for processing, storing, and transmitting data, and refers to general hardware including computers and communication equipment. 【0157】 "Data communication means" refers to technologies and protocols for sending and receiving digital data between information processing devices, and enables network communication. 【0158】 "Identification information" refers to data generated to uniquely identify specific digital content, and includes digital signatures and hash values. 【0159】 A "distributed ledger system" is a system that records data while maintaining consistency and transparency among multiple participants without requiring a central administrator, and blockchain technology is a prime example of this. 【0160】 "Data analysis methods" refer to computational techniques that provide methods for analyzing collected data and finding patterns and relationships, and utilize artificial intelligence and machine learning technologies. 【0161】 An "automated dialogue program" is software that enables two-way dialogue in natural language between the user and the program, and refers to what is commonly known as a chatbot. 【0162】 "Means of exchange" refers to mechanisms for sending and receiving information such as data between different systems or devices, and includes interfaces and communication protocols. 【0163】 "Commercial value" refers to the monetary value that a particular piece of content or product has in the market, and is determined based on demand, competition, and valuation. 【0164】 "Means of recognizing emotions" refers to technologies that grasp a user's emotional state through text or voice analysis, and are used to provide feedback based on that emotional state. 【0165】 This invention is a system designed to support content creators, comprehensively providing copyright protection, content evaluation, and sales strategy suggestions through a digital environment. Users utilize this system to upload creative content such as music and videos to a server using a digital information processing device. The server receives this information, generates content identification information using a hash function, and records this information in a distributed ledger system utilizing blockchain technology. This ensures the transparency and protection of the content. 【0166】 The server uses AI analysis tools to perform popularity indicators and data analysis. Specifically, it utilizes know-how used in data analysis platforms to collect content access numbers, reviews, and real-time market trend information, and based on the results of this analysis, proposes the optimal selling price to the user. 【0167】 In addition, users interact with the AI ​​chatbot using an automated dialogue program from the information processing device. An emotion engine installed on the server supports these interactions and analyzes the user's emotional state. For example, it uses Natural Language Processing (NLP) technology to extract emotions from text and speech, and based on the results, the AI ​​chatbot returns a response that corresponds to the user's emotions. 【0168】 For example, when a user uploads a new music piece, identification information for that content is generated and recorded on the blockchain. The server analyzes its popularity and suggests the optimal selling price, while the user consults an AI chatbot for market strategy advice. When a user asks a question in an excited tone, the AI ​​chatbot matches that emotion and provides proactive support in an energetic tone. 【0169】 An example of a prompt message is shown: "Analyze the market evaluation of the newly uploaded work and suggest the optimal selling price." This prompt allows users to efficiently receive system support and successfully deploy their content. 【0170】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0171】 Step 1: 【0172】 The user selects content using an information processing device and uploads it to the server. The input is the digital content file selected by the user, and the device may compress or convert the file in order to send it to the server. The output is the content data sent to the server. 【0173】 Step 2: 【0174】 The server analyzes the received content and generates an identifier using a hash function. The input is the uploaded content data, and the server generates a unique identifier based on this. This identifier can be used to detect content tampering. The output is the generated identifier. 【0175】 Step 3: 【0176】 The server records the generated identification information and associated metadata in a distributed ledger system. The input is the identification information and its associated metadata, which are recorded via blockchain technology. The output is the updated distributed ledger, which provides proof of ownership. 【0177】 Step 4: 【0178】 The server uses AI analysis tools to analyze the popularity of content. Inputs include view counts, reviews, and past trends related to the content. The analysis algorithm processes the data and calculates a popularity index. The output is a popularity score as a result of the analysis. 【0179】 Step 5: 【0180】 The server calculates the optimal product value based on popularity scores and market trend data, and proposes it to the user. The inputs are the analyzed popularity scores and market data. Based on this, calculations are performed to optimize the product value, and the proposed selling price is obtained as the output. 【0181】 Step 6: 【0182】 The user initiates a conversation with the AI ​​chatbot through an information processing device. The input consists of the user's questions and commands, which are received by the automated dialogue program. The output is the response message generated by the AI ​​chatbot. 【0183】 Step 7: 【0184】 The server uses an emotion engine to analyze user input and identify their emotional state. The input consists of text and voice data from the user, which is then analyzed to determine their emotional state. The output is the result of the emotion recognition, which is used to adjust the AI ​​chatbot's response. 【0185】 Step 8: 【0186】 The server collects market trend information and provides it to users. The input is market information gathered from the internet, and after analysis, it generates strategic information regarding appropriate timing. The output is price adjustments and promotional strategies proposed to the user. 【0187】 (Application Example 2) 【0188】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0189】 Modern content creators are required to appropriately value and effectively deliver their work across diverse platforms. However, understanding the emotions and market trends involved in creative activities is difficult, making it challenging to formulate appropriate pricing and effective sales strategies. Furthermore, the simultaneous demands for copyright protection and market differentiation necessitate new approaches. 【0190】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0191】 In this invention, the server includes means for communication between a terminal and a data processing device for uploading content, means for generating a digital fingerprint, means for recording it in a distributed ledger system, machine learning means for analyzing the popularity of the content through real-time analysis, and means for proposing the optimal economic value. This enables creators to instantly evaluate the value of their creations, receive appropriate price offers, and enhance their competitiveness in the market while protecting their intellectual property. 【0192】 "Content" refers to information and works such as music, videos, and text created or generated by users. 【0193】 A "device" is an electronic device used to upload content, and includes smartphones, tablets, and personal computers. 【0194】 A "data processing device" refers to an electronic device used to receive and process uploaded content, and can be a server or a cloud computing environment. 【0195】 "Communication means" refers to methods and technologies for transmitting information between a terminal and a data processing device, and includes the internet and wireless communication technologies. 【0196】 A "digital fingerprint" is a unique electronic hash value generated for the purpose of identifying content. 【0197】 A "distributed ledger system" is a system that uses blockchain technology to record information securely and immutably. 【0198】 "Real-time analysis" is a data analysis technology that processes uploaded information in real time and obtains results quickly. 【0199】 "Machine learning methods" refer to algorithms and models used to extract patterns and rules from data and make predictions and judgments. 【0200】 "Economic value" is a numerical representation of the market value of content, and is an indicator used to evaluate sales price and demand. 【0201】 "Means of managing transactions" refer to methods and technologies for efficiently buying and selling content based on its proposed economic value. 【0202】 An "automated dialogue system" is an artificial intelligence system that exchanges information with users through natural language dialogue. 【0203】 "Market information" refers to information about market trends and developments, which influences content sales strategies and valuation. 【0204】 An "emotional analysis engine" is a technology for analyzing and recognizing emotions from speech and text. 【0205】 A "creator" is an individual or group that creates new content, including artists and writers. 【0206】 To implement this invention, a terminal for uploading content, a server for processing data, and a system for automated interaction with users are required. The server receives the content from the terminal, generates a digital fingerprint, and records it in a distributed ledger system. This digital fingerprint is useful for identifying the content and protecting intellectual property. Content uploads are performed via terminals such as smartphones and tablets. 【0207】 The server uses real-time analysis technology and machine learning to analyze the popularity of uploaded content in real time and propose the optimal economic value. This allows creators to increase their competitiveness in the market and quickly set appropriate prices. Based on this proposed economic value, they can manage transactions and develop effective sales strategies. 【0208】 Users can receive more personalized feedback by utilizing an emotion analysis engine to analyze the emotions contained in their voice and text. This emotion analysis engine uses a generative AI model to perform natural language processing and provide appropriate dialogue based on emotional states and market trends. 【0209】 For example, suppose an artist gathers ideas for a new song on their smartphone and uploads them to a server. The server generates a digital fingerprint for the song and records it in a distributed ledger simultaneously with the upload. Immediately afterward, the server performs market analysis, predicts the song's popularity, and suggests an optimal selling price to the artist. In this process, an emotional analysis engine provides feedback tailored to the artist's emotional state. This embodiment helps creators quickly and accurately assess the value of their work and implement appropriate sales strategies. 【0210】 An example of a prompt message is as follows: "I'm writing a new pop song. I particularly like the chorus, but I'd like some advice on market reaction and pricing." 【0211】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0212】 Step 1: 【0213】 The device receives content from the user as input. The user records newly created music, video, or text data using a smartphone or tablet and prepares it for uploading to the server. At this stage, the user can also add metadata as needed. 【0214】 Step 2: 【0215】 The server receives content transmitted from the terminal and generates a digital fingerprint using a digital fingerprint generation mechanism. This gives the content a unique identifier, and it is then securely recorded in a distributed ledger system along with related intellectual property information. The input is content data, and the output is the digital fingerprint and its record. 【0216】 Step 3: 【0217】 The server immediately begins analysis and uses machine learning techniques to predict the popularity of the content. Here, a generative AI model is used to analyze historical data and market trends, and based on the results, it evaluates how well the content will be received in the market. The input is digitized content data and market data, and the output is the popularity prediction result. 【0218】 Step 4: 【0219】 The server calculates the optimal economic value of content based on popularity predictions. Using the analysis results, it notifies users of the suggested selling price, supporting appropriate pricing. This economic value proposition helps in developing content monetization strategies. The input is the popularity prediction, and the output is the suggested price. 【0220】 Step 5: 【0221】 Users receive feedback on sales strategies and pricing information provided by the server through an automated dialogue system. An emotion analysis engine analyzes the user's emotional state and provides personalized dialogue tailored to that state. It assists the user in considering and implementing the final sales strategy. Input is the user's voice or text information, and output is emotionally relevant dialogue. 【0222】 Step 6: 【0223】 The server continuously monitors the market environment based on market information and provides users with timely price adjustments and promotional suggestions. In this way, users can quickly respond to market changes and obtain information to maximize the sales effectiveness of their content. The input is market trend data, and the output is a tailored sales strategy. 【0224】 The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data. 【0225】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0226】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0227】 [Second Embodiment] 【0228】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0229】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0230】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0231】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0232】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0233】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0234】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0235】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0236】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0237】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0238】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0239】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0240】 This invention provides an AI-based system for content creators to securely manage and effectively monetize their works. The system begins with the user uploading content to a server using a device. The server generates a digital fingerprint for the received content and records this fingerprint, along with associated copyright information, on a blockchain. This ensures that the rights to the work are properly protected. 【0241】 Furthermore, the server uses AI analysis tools to analyze the popularity of uploaded content in real time. Based on the data obtained from this analysis, the server proposes the optimal selling price to the user. This pricing proposal is crucial support for users in maximizing their revenue. 【0242】 Users can interact with the AI ​​chatbot through their device, obtaining necessary information and feedback. This facilitates smooth communication between the user and the server. The server, in turn, provides users with information on market trends and data to optimize content sales strategies. 【0243】 As a concrete example, consider a scenario where a creator registers a new illustration on a marketplace. Users select artwork on their devices and upload it to a server. The server generates a digital fingerprint and stores copyright information on the blockchain, helping to prevent theft. AI analysis tools quickly determine the popularity of the illustration and suggest the optimal price. This allows users to start selling their work at the suggested price and generate revenue at the right time. Furthermore, by constantly monitoring market trends, new sales opportunities and appropriate promotional strategies can be selected. 【0244】 By integrating these elements, we can provide comprehensive support to creators and contribute to the sustainable development of their businesses. 【0245】 The following describes the processing flow. 【0246】 Step 1: 【0247】 The user selects content using their device and uploads it to the server. The device first verifies which file has been selected, and then sends the selected content data to the server. 【0248】 Step 2: 【0249】 The server generates a digital fingerprint of the received content using an algorithm. This digital fingerprint indicates the uniqueness of the work and is used as data necessary for subsequent copyright management. 【0250】 Step 3: 【0251】 The server records the generated digital fingerprint and associated copyright information on the blockchain. This ensures that content is not tampered with and that evidence is preserved. 【0252】 Step 4: 【0253】 The server uses AI analysis tools to analyze the popularity of content in real time. This analysis includes user counts, view counts, and past sales data, collecting data to evaluate market trends and the acceptance of the work. 【0254】 Step 5: 【0255】 The server calculates the optimal selling price based on the analysis results and notifies the user's terminal of this information. This suggested price is individually optimized and serves as reference information for the user to use when setting their own prices. 【0256】 Step 6: 【0257】 Users can interact with an AI chatbot through their device to receive advice on sales strategies for their artwork and feedback based on their orders. The chatbot can also provide information on specific sales promotion methods and target markets. 【0258】 Step 7: 【0259】 The server collects the latest market trends and provides them to users regularly. This allows users to understand market changes and adjust their sales strategies in real time. 【0260】 Step 8: 【0261】 Users eventually begin selling their content at optimized pricing. The server continuously monitors sales data and suggests revised pricing and promotional strategies as needed. 【0262】 (Example 1) 【0263】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0264】 Content creators face numerous challenges in securely managing their work and effectively monetizing it. Specifically, establishing measures to prevent misuse of their work, analyzing demand in a timely manner to set appropriate prices, and developing sales strategies that align with market trends are not easy tasks, and a comprehensive system is needed to address these issues. 【0265】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0266】 In this invention, the server includes means for communication between an information device and an information processing device for uploading content, means for generating a digital fingerprint of the uploaded information, and a distributed database system for recording the generated digital fingerprint and associated rights protection information. This enables secure identification and rights protection of content, as well as analysis of market demand and dynamic pricing. 【0267】 "Content" refers to information expressed in digital format, including images, music, text, and videos—works created by creators. 【0268】 "Information device" refers to a terminal or computer device used by a user, and is a device that enables content uploading and interaction with AI chatbots. 【0269】 An "information processing device" refers to a central device that manages, analyzes, and records content, such as a server or cloud computing system. 【0270】 "Communication means" refers to technologies and protocols for sending and receiving data between information devices and information processing devices, or between other systems. 【0271】 A "digital fingerprint" is a unique identifier generated for content, calculated using a hash function or similar method. 【0272】 "Rights protection information" refers to data related to the legal rights of content, such as copyright and ownership rights. 【0273】 A "distributed database system" is a system in which data is distributed and stored across multiple nodes, and typically uses blockchain technology to prevent data tampering. 【0274】 "Artificial intelligence analysis tools" refer to functions that utilize AI technology to analyze the popularity of content and market trends in real time. 【0275】 A "generative AI model" refers to an AI system that uses machine learning algorithms to learn patterns from data and generate new information. 【0276】 An "artificial intelligence conversational robot" refers to an AI system that uses natural language processing technology to interact with users, answer questions, and provide information. 【0277】 "Market trends" refer to information that reflects changes in consumer interests and needs, as well as economic conditions, and are factors that influence sales strategies. 【0278】 The system of this invention provides an integrated environment for content creators to securely manage their works and effectively monetize them. This system is realized by combining information devices, information processing devices, and various AI technologies. 【0279】 Users first select their artwork using their own device (information device) and upload it to an information processing device (server). This information device provides an interface for selecting content and has the ability to communicate with the server. 【0280】 The server generates a unique digital fingerprint for the received content. Technologies such as hash functions are used for this generation. The generated digital fingerprint and associated rights protection information are recorded in a tamper-proof, decentralized database system (e.g., blockchain). 【0281】 Furthermore, the server uses artificial intelligence analysis tools to analyze the market popularity of uploaded content in real time. This analysis is performed using data analysis methods based on AI models, and the generative AI model generates prompts to predict how the user's content will be received. This allows the server to offer the user the optimal selling price and help maximize revenue. 【0282】 Users interact with an artificial intelligence conversational robot provided by the server using a terminal. This allows users to obtain additional information about proposed sales prices or inquire about market trends. This function uses natural language processing technology to generate appropriate output in response to user input. 【0283】 As a specific example, consider a situation where a user uploads a new digital illustration to an online market. The user selects the illustration on the terminal and uploads it to the server. The server generates a digital fingerprint of the illustration and records the rights protection information on the blockchain. The AI analyzes the popularity of the illustration in the market and presents an appropriate selling price to the user. The user who accepts this price proposal can start selling the illustration in the market. 【0284】 As an example of a prompt sentence to be input into the generation AI model, a specific instruction such as "Please propose an optimal price setting for selling a new digital illustration in an online marketplace. The target market is an art platform for young people." can be given. With this prompt, the generation AI model can propose an optimal approach in the marketplace. 【0285】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0286】 Step 1: 【0287】 The user uses the terminal to select content and upload it to the server. The user utilizes the file selection interface of the terminal to select an image or music file to be uploaded. The selected file is transferred from the terminal to the server through the communication means. The input is the content file, and the output is the content stored on the server. 【0288】 Step 2: 【0289】 The server generates a digital fingerprint for the received content. The server uses a hash function to calculate a unique identifier for the content data. This identifier becomes the digital fingerprint. The input is the uploaded content data, and the output is its digital fingerprint. 【0290】 Step 3: 【0291】 The server records the generated digital fingerprint and copyright information in a distributed database system. The server collects metadata related to the fingerprint and copyright and securely records it using blockchain technology. The input is the digital fingerprint and copyright information, and the output is the data recorded in the distributed database. 【0292】 Step 4: 【0293】 The server uses AI analysis tools to analyze the popularity of content in real time. The server uses a generative AI model to score content based on market data and prompt text. The input is a digital fingerprint and prompt text, and the output is the analyzed popularity data. 【0294】 Step 5: 【0295】 The server proposes the optimal selling price to the user based on the analysis results. The server calculates the price using an algorithm based on popularity data and notifies the user's terminal of the proposed price. The input is popularity data, and the output is optimized selling price information. 【0296】 Step 6: 【0297】 Users interact with an AI chatbot through their device to obtain additional information about the proposed price. When a user enters a question into the chatbot, the chatbot generates and presents an answer using a generative AI model. The input is the user's question, and the output is the chatbot's answer. 【0298】 Step 7: 【0299】 The server analyzes market trends and generates market reports to provide users with timely information. The server collects market trend data, analyzes it using an AI model, and compiles it into a report. The input is market data, and the output is the generated market report. 【0300】 (Application Example 1) 【0301】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0302】 In modern society, content creators are required to safely manage their works and effectively monetize them. However, with the rapid spread of digital content, the risks of content theft and copyright infringement are increasing. Furthermore, it is not easy to grasp trends in diverse markets and achieve sales at fair prices. It is necessary to solve these challenges and provide an environment in which content creators can work with peace of mind. 【0303】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0304】 In this invention, the server includes means for communication between an information terminal and an information processing device for uploading content, means for generating a digital fingerprint of the uploaded data, a distributed ledger system for recording the generated digital fingerprint and associated rights information, artificial intelligence analysis means for instantly analyzing the popularity of the data, means for proposing an optimal offering price based on the analysis results, means for managing distribution based on the proposed offering price, communication means for exchanging information between the user and the artificial intelligence, and means for providing information on market trends. This enables content creators to securely manage their works and optimize pricing and sales strategies that take market trends into consideration. 【0305】 An "information terminal" is an electronic device used by content creators to upload data, and includes devices such as smartphones and smart glasses. 【0306】 An "information processing device" is a computer server used to process and analyze received data, and is a device that handles communication and data storage. 【0307】 A "digital fingerprint" is characteristic digital information created to guarantee the uniqueness of digital data and is used for data identification and copyright protection. 【0308】 A "distributed ledger system" is a system that utilizes blockchain technology to record and manage digital fingerprints and related information. 【0309】 "Artificial intelligence analysis means" is a means that uses artificial intelligence technology to analyze data and evaluate its popularity and related information in real time. 【0310】 "Means for proposing a offering price" is a means for deriving and proposing an optimal price considering the market situation based on the analyzed data. 【0311】 "Means for managing distribution" is a means for effectively distributing content based on the proposed offering price and optimizing sales. 【0312】 "Artificial stupidity" is an interactive software agent that automatically conducts conversations and provides information to users and is also called an AI chatbot. 【0313】 This invention provides a system that enables content creators to safely manage their own works and effectively monetize them. This system is configured as follows. 【0314】 First, the user uses an information terminal, such as a smartphone or smart glasses, to upload their digital content to the server. The server generates a digital fingerprint for the received content and records the digital fingerprint and related rights information in the distributed ledger system. This enables the identification of the content and ensures the copyright status. 【0315】 Next, the server uses artificial intelligence analysis tools to instantly analyze the popularity of the uploaded data. This AI uses TensorFlow or a similar AI engine. Based on the analyzed data, a system for suggesting pricing is activated, showing the user the optimal price considering market trends. 【0316】 Furthermore, users can send questions and instructions to the system via artificial intelligence and receive corresponding information in real time. This artificial intelligence utilizes conversational agents such as Dialogflow or GPT models. 【0317】 As a concrete example, a creator who has produced a new illustration takes a picture of the work with their smartphone and uploads it to the system. The server automatically generates a fingerprint of the work and stores it on the blockchain. The system then analyzes the market demand for that illustration and proposes the optimal selling price to the creator. 【0318】 The introduction of this system allows creators to securely manage their work and increase revenue through appropriate pricing. The generative AI model is effectively utilized by using example prompts such as, "Analyze the popularity of uploaded content and suggest the optimal selling price. Also, suggest effective promotional strategies as advice for users." 【0319】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0320】 Step 1: 【0321】 The user uploads digital content to the server using an information terminal. The input is the user's content data, and the output is the data transfer to the server. In this step, the content data is transmitted through the operation of the information terminal. 【0322】 Step 2: 【0323】 The server generates a digital fingerprint for the received content data. The input is the content data obtained in step 1, and the output is the generated digital fingerprint. The algorithm for generating the digital fingerprint is executed to create unique identification information for the content. 【0324】 Step 3: 【0325】 The server records the digital fingerprint and associated rights information in a distributed ledger system. The input is the digital fingerprint and rights information generated in step 2, and the output is the recording to the distributed ledger system. Blockchain technology is used to store the digital fingerprint and rights information in a tamper-proof manner. 【0326】 Step 4: 【0327】 The server uses artificial intelligence analysis tools to analyze the popularity of the content. The input is the content data uploaded in step 1, and the output is the analyzed popularity data. AI tools such as TensorFlow are used to evaluate and analyze the data and generate content ratings. 【0328】 Step 5: 【0329】 The server proposes the optimal price based on the analyzed popularity data. The input is the popularity data obtained in step 4, and the output is the proposed price. A "generative AI model" is used to analyze market trends and demand and present a fair price to the user. 【0330】 Step 6: 【0331】 The user reviews the information suggested through the AI ​​and makes adjustments or provides instructions as needed. The input is the price suggestion provided in step 5, and the output is the user's feedback. Through interaction with the AI, the optimal pricing strategy for the buyer is determined. 【0332】 Step 7: 【0333】 The server manages distribution and begins selling content based on user selection. The input is user feedback obtained in step 6, and the output is content sales management information. Preparation for market release is carried out based on appropriate promotional measures and commercialization strategies. 【0334】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0335】 This invention is an AI-based system for supporting content creators, incorporating an emotion engine that recognizes user emotions. The system begins with the user uploading content to a server using a terminal. The server receives the content, generates a digital fingerprint, and records the relevant information on a blockchain. Subsequently, the server uses AI analysis tools to analyze the popularity of the content and proposes an optimal selling price to the user. 【0336】 This system utilizes an emotion engine in the interaction between the user and the AI ​​chatbot. The emotion engine analyzes the nuances of the user's voice and text to recognize their emotional state. Based on these results, the AI ​​chatbot responds with appropriate tone and content, making the information the user receives more personalized. 【0337】 As a concrete example, consider a scenario where a creator uploads their music and consults with an AI chatbot about sales strategies. The user uploads their work to a server via their device, and a digital fingerprint is recorded on the blockchain. The server analyzes the popularity of the work and notifies the user of a suggested price. Furthermore, once the user begins interacting with the chatbot, an emotion engine analyzes the tone of the user's voice, and if it detects excitement, the AI ​​chatbot responds with an energetic response that matches that state. This makes the user feel that the conversation matches their mood, enabling them to make better decisions. 【0338】 In addition, the server constantly collects and provides market trend information to users, allowing for timely price adjustments and promotional strategies. Thus, the system of this invention, including the emotion engine, supports the success of creators and provides the best possible path to creating a suitable business environment. 【0339】 The following describes the processing flow. 【0340】 Step 1: 【0341】 The user selects their content on their device and initiates the upload process. The device then prepares to send the selected content to the server. 【0342】 Step 2: 【0343】 The server generates a digital fingerprint for the content it receives. This fingerprint guarantees the uniqueness of the work, and the server records it along with copyright information in the blockchain system to protect rights. 【0344】 Step 3: 【0345】 The server uses AI analysis tools to analyze the popularity of uploaded content. Based on access numbers, market trends, and historical data, it runs a predictive algorithm to evaluate the content. 【0346】 Step 4: 【0347】 The server calculates the optimal selling price based on the popularity analysis results. The calculated price is notified to the user via their device, allowing them to confirm it. 【0348】 Step 5: 【0349】 The user initiates a conversation with the AI ​​chatbot using their device. The emotion engine analyzes the user's voice and input text, recognizing their emotional state in real time. 【0350】 Step 6: 【0351】 The AI ​​chatbot adjusts the content and tone of its responses based on the user's emotions, as recognized by its emotion engine. If the user's emotions are positive, it will provide encouraging responses; if they are negative, it will provide calm and empathetic responses. 【0352】 Step 7: 【0353】 The server collects the latest market trends and transmits this information to the user's terminal as needed. Users can then use this information to adjust their content sales strategies. 【0354】 Step 8: 【0355】 Users ultimately begin selling content at the proposed price confirmed through their device. Even after sales begin, the server continuously monitors revenue data and user feedback, and makes further price adjustments or sales strategy suggestions as needed. 【0356】 (Example 2) 【0357】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0358】 Traditional content distribution systems have suffered from problems such as insufficient copyright protection, inadequate content valuation, and inadequate feedback to creators. In particular, issues include unauthorized use and alteration of content, pricing based on weak evaluation criteria, and a lack of strategies based on market trends. Furthermore, the interface between creators and technological means is insufficient, making it difficult to receive personalized support. 【0359】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0360】 In this invention, the server includes data communication means between information processing devices, means for generating identification information, and a distributed ledger system. This enables enhanced protection of rights and transparency for uploaded content. Furthermore, it includes data analysis means, exchange means for exchanging information between automated dialogue programs, and means for recognizing the creator's emotions and adjusting the response content. This enables the proposal of appropriate product value and the provision of personalized feedback to creators. As a result, it is possible to formulate more effective and efficient market strategies while protecting the interests of creators. 【0361】 An "information processing device" is a device used for processing, storing, and transmitting data, and refers to general hardware including computers and communication equipment. 【0362】 "Data communication means" refers to technologies and protocols for sending and receiving digital data between information processing devices, and enables network communication. 【0363】 "Identification information" refers to data generated to uniquely identify specific digital content, and includes digital signatures and hash values. 【0364】 A "distributed ledger system" is a system that records data while maintaining consistency and transparency among multiple participants without requiring a central administrator, and blockchain technology is a prime example of this. 【0365】 "Data analysis methods" refer to computational techniques that provide methods for analyzing collected data and finding patterns and relationships, and utilize artificial intelligence and machine learning technologies. 【0366】 An "automated dialogue program" is software that enables two-way dialogue in natural language between the user and the program, and refers to what is commonly known as a chatbot. 【0367】 "Means of exchange" refers to mechanisms for sending and receiving information such as data between different systems or devices, and includes interfaces and communication protocols. 【0368】 "Commercial value" refers to the monetary value that a particular piece of content or product has in the market, and is determined based on demand, competition, and valuation. 【0369】 "Means of recognizing emotions" refers to technologies that grasp a user's emotional state through text or voice analysis, and are used to provide feedback based on that emotional state. 【0370】 This invention is a system designed to support content creators, comprehensively providing copyright protection, content evaluation, and sales strategy suggestions through a digital environment. Users utilize this system to upload creative content such as music and videos to a server using a digital information processing device. The server receives this information, generates content identification information using a hash function, and records this information in a distributed ledger system utilizing blockchain technology. This ensures the transparency and protection of the content. 【0371】 The server uses AI analysis tools to perform popularity indicators and data analysis. Specifically, it utilizes know-how used in data analysis platforms to collect content access numbers, reviews, and real-time market trend information, and based on the results of this analysis, proposes the optimal selling price to the user. 【0372】 In addition, users interact with the AI ​​chatbot using an automated dialogue program from the information processing device. An emotion engine installed on the server supports these interactions and analyzes the user's emotional state. For example, it uses Natural Language Processing (NLP) technology to extract emotions from text and speech, and based on the results, the AI ​​chatbot returns a response that corresponds to the user's emotions. 【0373】 For example, when a user uploads a new music piece, identification information for that content is generated and recorded on the blockchain. The server analyzes its popularity and suggests the optimal selling price, while the user consults an AI chatbot for market strategy advice. When a user asks a question in an excited tone, the AI ​​chatbot matches that emotion and provides proactive support in an energetic tone. 【0374】 An example of a prompt message is shown: "Analyze the market evaluation of the newly uploaded work and suggest the optimal selling price." This prompt allows users to efficiently receive system support and successfully deploy their content. 【0375】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0376】 Step 1: 【0377】 The user selects content using an information processing device and uploads it to the server. The input is the digital content file selected by the user, and the device may compress or convert the file in order to send it to the server. The output is the content data sent to the server. 【0378】 Step 2: 【0379】 The server analyzes the received content and generates an identifier using a hash function. The input is the uploaded content data, and the server generates a unique identifier based on this. This identifier can be used to detect content tampering. The output is the generated identifier. 【0380】 Step 3: 【0381】 The server records the generated identification information and associated metadata in a distributed ledger system. The input is the identification information and its associated metadata, which are recorded via blockchain technology. The output is the updated distributed ledger, which provides proof of ownership. 【0382】 Step 4: 【0383】 The server uses AI analysis tools to analyze the popularity of content. Inputs include view counts, reviews, and past trends related to the content. The analysis algorithm processes the data and calculates a popularity index. The output is a popularity score as a result of the analysis. 【0384】 Step 5: 【0385】 The server calculates the optimal product value based on popularity scores and market trend data, and proposes it to the user. The inputs are the analyzed popularity scores and market data. Based on this, calculations are performed to optimize the product value, and the proposed selling price is obtained as the output. 【0386】 Step 6: 【0387】 The user initiates a conversation with the AI ​​chatbot through an information processing device. The input consists of the user's questions and commands, which are received by the automated dialogue program. The output is the response message generated by the AI ​​chatbot. 【0388】 Step 7: 【0389】 The server uses an emotion engine to analyze user input and identify their emotional state. The input consists of text and voice data from the user, which is then analyzed to determine their emotional state. The output is the result of the emotion recognition, which is used to adjust the AI ​​chatbot's response. 【0390】 Step 8: 【0391】 The server collects market trend information and provides it to users. The input is market information gathered from the internet, and after analysis, it generates strategic information regarding appropriate timing. The output is price adjustments and promotional strategies proposed to the user. 【0392】 (Application Example 2) 【0393】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0394】 Modern content creators are required to appropriately value and effectively deliver their work across diverse platforms. However, understanding the emotions and market trends involved in creative activities is difficult, making it challenging to formulate appropriate pricing and effective sales strategies. Furthermore, the simultaneous demands for copyright protection and market differentiation necessitate new approaches. 【0395】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0396】 In this invention, the server includes means for communication between a terminal and a data processing device for uploading content, means for generating a digital fingerprint, means for recording it in a distributed ledger system, machine learning means for analyzing the popularity of the content through real-time analysis, and means for proposing the optimal economic value. This enables creators to instantly evaluate the value of their creations, receive appropriate price offers, and enhance their competitiveness in the market while protecting their intellectual property. 【0397】 "Content" refers to information and works such as music, videos, and text created or generated by users. 【0398】 A "device" is an electronic device used to upload content, and includes smartphones, tablets, and personal computers. 【0399】 A "data processing device" refers to an electronic device used to receive and process uploaded content, and can be a server or a cloud computing environment. 【0400】 "Communication means" refers to methods and technologies for transmitting information between a terminal and a data processing device, and includes the internet and wireless communication technologies. 【0401】 A "digital fingerprint" is a unique electronic hash value generated for the purpose of identifying content. 【0402】 A "distributed ledger system" is a system that uses blockchain technology to record information securely and immutably. 【0403】 "Real-time analysis" is a data analysis technology that processes uploaded information in real time and obtains results quickly. 【0404】 "Machine learning methods" refer to algorithms and models used to extract patterns and rules from data and make predictions and judgments. 【0405】 "Economic value" is a numerical representation of the market value of content, and is an indicator used to evaluate sales price and demand. 【0406】 "Means of managing transactions" refer to methods and technologies for efficiently buying and selling content based on its proposed economic value. 【0407】 An "automated dialogue system" is an artificial intelligence system that exchanges information with users through natural language dialogue. 【0408】 "Market information" refers to information about market trends and developments, which influences content sales strategies and valuation. 【0409】 An "emotional analysis engine" is a technology for analyzing and recognizing emotions from speech and text. 【0410】 A "creator" is an individual or group that creates new content, including artists and writers. 【0411】 To implement this invention, a terminal for uploading content, a server for processing data, and a system for automated interaction with users are required. The server receives the content from the terminal, generates a digital fingerprint, and records it in a distributed ledger system. This digital fingerprint is useful for identifying the content and protecting intellectual property. Content uploads are performed via terminals such as smartphones and tablets. 【0412】 The server uses real-time analysis technology and machine learning to analyze the popularity of uploaded content in real time and propose the optimal economic value. This allows creators to increase their competitiveness in the market and quickly set appropriate prices. Based on this proposed economic value, they can manage transactions and develop effective sales strategies. 【0413】 Users can receive more personalized feedback by utilizing an emotion analysis engine to analyze the emotions contained in their voice and text. This emotion analysis engine uses a generative AI model to perform natural language processing and provide appropriate dialogue based on emotional states and market trends. 【0414】 For example, suppose an artist gathers ideas for a new song on their smartphone and uploads them to a server. The server generates a digital fingerprint for the song and records it in a distributed ledger simultaneously with the upload. Immediately afterward, the server performs market analysis, predicts the song's popularity, and suggests an optimal selling price to the artist. In this process, an emotional analysis engine provides feedback tailored to the artist's emotional state. This embodiment helps creators quickly and accurately assess the value of their work and implement appropriate sales strategies. 【0415】 An example of a prompt message is as follows: "I'm writing a new pop song. I particularly like the chorus, but I'd like some advice on market reaction and pricing." 【0416】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0417】 Step 1: 【0418】 The device receives content from the user as input. The user records newly created music, video, or text data using a smartphone or tablet and prepares it for uploading to the server. At this stage, the user can also add metadata as needed. 【0419】 Step 2: 【0420】 The server receives content transmitted from the terminal and generates a digital fingerprint using a digital fingerprint generation mechanism. This gives the content a unique identifier, and it is then securely recorded in a distributed ledger system along with related intellectual property information. The input is content data, and the output is the digital fingerprint and its record. 【0421】 Step 3: 【0422】 The server immediately begins analysis and uses machine learning techniques to predict the popularity of the content. Here, a generative AI model is used to analyze historical data and market trends, and based on the results, it evaluates how well the content will be received in the market. The input is digitized content data and market data, and the output is the popularity prediction result. 【0423】 Step 4: 【0424】 The server calculates the optimal economic value of content based on popularity predictions. Using the analysis results, it notifies users of the suggested selling price, supporting appropriate pricing. This economic value proposition helps in developing content monetization strategies. The input is the popularity prediction, and the output is the suggested price. 【0425】 Step 5: 【0426】 Users receive feedback on sales strategies and pricing information provided by the server through an automated dialogue system. An emotion analysis engine analyzes the user's emotional state and provides personalized dialogue tailored to that state. It assists the user in considering and implementing the final sales strategy. Input is the user's voice or text information, and output is emotionally relevant dialogue. 【0427】 Step 6: 【0428】 The server continuously monitors the market environment based on market information and provides users with timely price adjustments and promotional suggestions. In this way, users can quickly respond to market changes and obtain information to maximize the sales effectiveness of their content. The input is market trend data, and the output is a tailored sales strategy. 【0429】 The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0430】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0431】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0432】 [Third Embodiment] 【0433】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0434】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0435】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0436】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0437】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0438】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0439】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0440】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0441】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0442】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0443】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0444】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0445】 This invention provides an AI-based system for content creators to securely manage and effectively monetize their works. The system begins with the user uploading content to a server using a device. The server generates a digital fingerprint for the received content and records this fingerprint, along with associated copyright information, on a blockchain. This ensures that the rights to the work are properly protected. 【0446】 Furthermore, the server uses AI analysis tools to analyze the popularity of uploaded content in real time. Based on the data obtained from this analysis, the server proposes the optimal selling price to the user. This pricing proposal is crucial support for users in maximizing their revenue. 【0447】 Users can interact with the AI ​​chatbot through their device, obtaining necessary information and feedback. This facilitates smooth communication between the user and the server. The server, in turn, provides users with information on market trends and data to optimize content sales strategies. 【0448】 As a concrete example, consider a scenario where a creator registers a new illustration on a marketplace. Users select artwork on their devices and upload it to a server. The server generates a digital fingerprint and stores copyright information on the blockchain, helping to prevent theft. AI analysis tools quickly determine the popularity of the illustration and suggest the optimal price. This allows users to start selling their work at the suggested price and generate revenue at the right time. Furthermore, by constantly monitoring market trends, new sales opportunities and appropriate promotional strategies can be selected. 【0449】 By integrating these elements, we can provide comprehensive support to creators and contribute to the sustainable development of their businesses. 【0450】 The following describes the processing flow. 【0451】 Step 1: 【0452】 The user selects content using their device and uploads it to the server. The device first verifies which file has been selected, and then sends the selected content data to the server. 【0453】 Step 2: 【0454】 The server generates a digital fingerprint of the received content using an algorithm. This digital fingerprint indicates the uniqueness of the work and is used as data necessary for subsequent copyright management. 【0455】 Step 3: 【0456】 The server records the generated digital fingerprint and associated copyright information on the blockchain. This ensures that content is not tampered with and that evidence is preserved. 【0457】 Step 4: 【0458】 The server uses AI analysis tools to analyze the popularity of content in real time. This analysis includes user counts, view counts, and past sales data, collecting data to evaluate market trends and the acceptance of the work. 【0459】 Step 5: 【0460】 The server calculates the optimal selling price based on the analysis results and notifies the user's terminal of this information. This suggested price is individually optimized and serves as reference information for the user to use when setting their own prices. 【0461】 Step 6: 【0462】 Users can interact with an AI chatbot through their device to receive advice on sales strategies for their artwork and feedback based on their orders. The chatbot can also provide information on specific sales promotion methods and target markets. 【0463】 Step 7: 【0464】 The server collects the latest market trends and provides them to users regularly. This allows users to understand market changes and adjust their sales strategies in real time. 【0465】 Step 8: 【0466】 Users eventually begin selling their content at optimized pricing. The server continuously monitors sales data and suggests revised pricing and promotional strategies as needed. 【0467】 (Example 1) 【0468】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0469】 Content creators face numerous challenges in securely managing their work and effectively monetizing it. Specifically, establishing measures to prevent misuse of their work, analyzing demand in a timely manner to set appropriate prices, and developing sales strategies that align with market trends are not easy tasks, and a comprehensive system is needed to address these issues. 【0470】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0471】 In this invention, the server includes means for communication between an information device and an information processing device for uploading content, means for generating a digital fingerprint of the uploaded information, and a distributed database system for recording the generated digital fingerprint and associated rights protection information. This enables secure identification and rights protection of content, as well as analysis of market demand and dynamic pricing. 【0472】 "Content" refers to information expressed in digital format, including images, music, text, and videos—works created by creators. 【0473】 "Information device" refers to a terminal or computer device used by a user, and is a device that enables content uploading and interaction with AI chatbots. 【0474】 An "information processing device" refers to a central device that manages, analyzes, and records content, such as a server or cloud computing system. 【0475】 "Communication means" refers to technologies and protocols for sending and receiving data between information devices and information processing devices, or between other systems. 【0476】 A "digital fingerprint" is a unique identifier generated for content, calculated using a hash function or similar method. 【0477】 "Rights protection information" refers to data related to the legal rights of content, such as copyright and ownership rights. 【0478】 A "distributed database system" is a system in which data is distributed and stored across multiple nodes, and typically uses blockchain technology to prevent data tampering. 【0479】 "Artificial intelligence analysis tools" refer to functions that utilize AI technology to analyze the popularity of content and market trends in real time. 【0480】 A "generative AI model" refers to an AI system that uses machine learning algorithms to learn patterns from data and generate new information. 【0481】 An "artificial intelligence conversational robot" refers to an AI system that uses natural language processing technology to interact with users, answer questions, and provide information. 【0482】 "Market trends" refer to information that reflects changes in consumer interests and needs, as well as economic conditions, and are factors that influence sales strategies. 【0483】 The system of this invention provides an integrated environment for content creators to securely manage their works and effectively monetize them. This system is realized by combining information devices, information processing devices, and various AI technologies. 【0484】 Users first select their artwork using their own device (information device) and upload it to an information processing device (server). This information device provides an interface for selecting content and has the ability to communicate with the server. 【0485】 The server generates a unique digital fingerprint for the received content. Technologies such as hash functions are used for this generation. The generated digital fingerprint and associated rights protection information are recorded in a tamper-proof, decentralized database system (e.g., blockchain). 【0486】 Furthermore, the server uses artificial intelligence analysis tools to analyze the market popularity of uploaded content in real time. This analysis is performed using data analysis methods based on AI models, and the generative AI model generates prompts to predict how the user's content will be received. This allows the server to offer the user the optimal selling price and help maximize revenue. 【0487】 Users interact with an artificial intelligence conversational robot provided by the server using a terminal. This allows users to obtain additional information about proposed sales prices or inquire about market trends. This function uses natural language processing technology to generate appropriate output in response to user input. 【0488】 As a concrete example, consider a scenario where a user lists a new digital illustration on an online marketplace. The user selects an illustration on their device and uploads it to a server. The server generates a digital fingerprint of the illustration and records the rights protection information on the blockchain. AI analyzes the popularity of the illustration in the marketplace and suggests an appropriate selling price to the user. Users who accept this price suggestion can then begin selling their illustration on the marketplace. 【0489】 An example of a prompt to input into a generative AI model is the specific instruction, "Suggest the optimal pricing for selling a new digital illustration on an online marketplace. The target marketplace is an art platform aimed at young people." This prompt allows the generative AI model to suggest the best approach for the marketplace. 【0490】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0491】 Step 1: 【0492】 The user uses a device to select content and upload it to the server. The user uses the device's file selection interface to choose the image or music files they want to upload. The selected files are transferred from the device to the server via communication. The input is the content file, and the output is the content stored on the server. 【0493】 Step 2: 【0494】 The server generates a digital fingerprint for the received content. The server uses a hash function to calculate a unique identifier for the content data. This identifier becomes the digital fingerprint. The input is the uploaded content data, and the output is its digital fingerprint. 【0495】 Step 3: 【0496】 The server records the generated digital fingerprint and copyright information in a distributed database system. The server collects metadata related to the fingerprint and copyright and securely records it using blockchain technology. The input is the digital fingerprint and copyright information, and the output is the data recorded in the distributed database. 【0497】 Step 4: 【0498】 The server uses AI analysis tools to analyze the popularity of content in real time. The server uses a generative AI model to score content based on market data and prompt text. The input is a digital fingerprint and prompt text, and the output is the analyzed popularity data. 【0499】 Step 5: 【0500】 The server proposes the optimal selling price to the user based on the analysis results. The server calculates the price using an algorithm based on popularity data and notifies the user's terminal of the proposed price. The input is popularity data, and the output is optimized selling price information. 【0501】 Step 6: 【0502】 Users interact with an AI chatbot through their device to obtain additional information about the proposed price. When a user enters a question into the chatbot, the chatbot generates and presents an answer using a generative AI model. The input is the user's question, and the output is the chatbot's answer. 【0503】 Step 7: 【0504】 The server analyzes market trends and generates market reports to provide users with timely information. The server collects market trend data, analyzes it using an AI model, and compiles it into a report. The input is market data, and the output is the generated market report. 【0505】 (Application Example 1) 【0506】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0507】 In modern society, content creators are required to safely manage their works and effectively monetize them. However, with the rapid spread of digital content, the risks of content theft and copyright infringement are increasing. Furthermore, it is not easy to grasp trends in diverse markets and achieve sales at fair prices. It is necessary to solve these challenges and provide an environment in which content creators can work with peace of mind. 【0508】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0509】 In this invention, the server includes means for communication between an information terminal and an information processing device for uploading content, means for generating a digital fingerprint of the uploaded data, a distributed ledger system for recording the generated digital fingerprint and associated rights information, artificial intelligence analysis means for instantly analyzing the popularity of the data, means for proposing an optimal offering price based on the analysis results, means for managing distribution based on the proposed offering price, communication means for exchanging information between the user and the artificial intelligence, and means for providing information on market trends. This enables content creators to securely manage their works and optimize pricing and sales strategies that take market trends into consideration. 【0510】 An "information terminal" is an electronic device used by content creators to upload data, and includes devices such as smartphones and smart glasses. 【0511】 An "information processing device" is a computer server used to process and analyze received data, and is a device that handles communication and data storage. 【0512】 A "digital fingerprint" is a distinctive piece of digital information created to guarantee the uniqueness of digital data, and is used for data identification and copyright protection. 【0513】 A "distributed ledger system" is a system that utilizes blockchain technology to record and manage digital fingerprints and related information. 【0514】 "Artificial intelligence analysis methods" refer to methods that use artificial intelligence technology to analyze data and evaluate its popularity and related information in real time. 【0515】 "Methods for proposing a price" refer to methods for deriving and proposing the optimal price based on analyzed data and considering market conditions. 【0516】 "Means of managing distribution" refers to means of effectively distributing content and optimizing sales based on the proposed pricing. 【0517】 "Artificial incompetence" refers to conversational software agents that automatically engage in dialogue with users and provide information; they are also known as AI chatbots. 【0518】 This invention provides a system that enables content creators to securely manage and effectively monetize their work. The system is configured as follows: 【0519】 First, users upload their digital content to a server using an information terminal, such as a smartphone or smart glasses. The server generates a digital fingerprint for the received content and records this digital fingerprint and associated rights information in a distributed ledger system. This makes it possible to identify the content and ensures copyright status. 【0520】 Next, the server uses artificial intelligence analysis tools to instantly analyze the popularity of the uploaded data. This AI uses TensorFlow or a similar AI engine. Based on the analyzed data, a system for suggesting pricing is activated, showing the user the optimal price considering market trends. 【0521】 Furthermore, users can send questions and instructions to the system via artificial intelligence and receive corresponding information in real time. This artificial intelligence utilizes conversational agents such as Dialogflow or GPT models. 【0522】 As a concrete example, a creator who has produced a new illustration takes a picture of the work with their smartphone and uploads it to the system. The server automatically generates a fingerprint of the work and stores it on the blockchain. The system then analyzes the market demand for that illustration and proposes the optimal selling price to the creator. 【0523】 The introduction of this system allows creators to securely manage their work and increase revenue through appropriate pricing. The generative AI model is effectively utilized by using example prompts such as, "Analyze the popularity of uploaded content and suggest the optimal selling price. Also, suggest effective promotional strategies as advice for users." 【0524】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0525】 Step 1: 【0526】 The user uploads digital content to the server using an information terminal. The input is the user's content data, and the output is the data transfer to the server. In this step, the content data is transmitted through the operation of the information terminal. 【0527】 Step 2: 【0528】 The server generates a digital fingerprint for the received content data. The input is the content data obtained in step 1, and the output is the generated digital fingerprint. The algorithm for generating the digital fingerprint is executed to create unique identification information for the content. 【0529】 Step 3: 【0530】 The server records the digital fingerprint and associated rights information in a distributed ledger system. The input is the digital fingerprint and rights information generated in step 2, and the output is the recording to the distributed ledger system. Blockchain technology is used to store the digital fingerprint and rights information in a tamper-proof manner. 【0531】 Step 4: 【0532】 The server uses artificial intelligence analysis tools to analyze the popularity of the content. The input is the content data uploaded in step 1, and the output is the analyzed popularity data. AI tools such as TensorFlow are used to evaluate and analyze the data and generate content ratings. 【0533】 Step 5: 【0534】 The server proposes the optimal price based on the analyzed popularity data. The input is the popularity data obtained in step 4, and the output is the proposed price. A "generative AI model" is used to analyze market trends and demand and present a fair price to the user. 【0535】 Step 6: 【0536】 The user reviews the information suggested through the AI ​​and makes adjustments or provides instructions as needed. The input is the price suggestion provided in step 5, and the output is the user's feedback. Through interaction with the AI, the optimal pricing strategy for the buyer is determined. 【0537】 Step 7: 【0538】 The server manages distribution and begins selling content based on user selection. The input is user feedback obtained in step 6, and the output is content sales management information. Preparation for market release is carried out based on appropriate promotional measures and commercialization strategies. 【0539】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0540】 This invention is an AI-based system for supporting content creators, incorporating an emotion engine that recognizes user emotions. The system begins with the user uploading content to a server using a terminal. The server receives the content, generates a digital fingerprint, and records the relevant information on a blockchain. Subsequently, the server uses AI analysis tools to analyze the popularity of the content and proposes an optimal selling price to the user. 【0541】 This system utilizes an emotion engine in the interaction between the user and the AI ​​chatbot. The emotion engine analyzes the nuances of the user's voice and text to recognize their emotional state. Based on these results, the AI ​​chatbot responds with appropriate tone and content, making the information the user receives more personalized. 【0542】 As a concrete example, consider a scenario where a creator uploads their music and consults with an AI chatbot about sales strategies. The user uploads their work to a server via their device, and a digital fingerprint is recorded on the blockchain. The server analyzes the popularity of the work and notifies the user of a suggested price. Furthermore, once the user begins interacting with the chatbot, an emotion engine analyzes the tone of the user's voice, and if it detects excitement, the AI ​​chatbot responds with an energetic response that matches that state. This makes the user feel that the conversation matches their mood, enabling them to make better decisions. 【0543】 In addition, the server constantly collects and provides market trend information to users, allowing for timely price adjustments and promotional strategies. Thus, the system of this invention, including the emotion engine, supports the success of creators and provides the best possible path to creating a suitable business environment. 【0544】 The following describes the processing flow. 【0545】 Step 1: 【0546】 The user selects their content on their device and initiates the upload process. The device then prepares to send the selected content to the server. 【0547】 Step 2: 【0548】 The server generates a digital fingerprint for the content it receives. This fingerprint guarantees the uniqueness of the work, and the server records it along with copyright information in the blockchain system to protect rights. 【0549】 Step 3: 【0550】 The server uses AI analysis tools to analyze the popularity of uploaded content. Based on access numbers, market trends, and historical data, it runs a predictive algorithm to evaluate the content. 【0551】 Step 4: 【0552】 The server calculates the optimal selling price based on the popularity analysis results. The calculated price is notified to the user via their device, allowing them to confirm it. 【0553】 Step 5: 【0554】 The user initiates a conversation with the AI ​​chatbot using their device. The emotion engine analyzes the user's voice and input text, recognizing their emotional state in real time. 【0555】 Step 6: 【0556】 The AI ​​chatbot adjusts the content and tone of its responses based on the user's emotions, as recognized by its emotion engine. If the user's emotions are positive, it will provide encouraging responses; if they are negative, it will provide calm and empathetic responses. 【0557】 Step 7: 【0558】 The server collects the latest market trends and transmits this information to the user's terminal as needed. Users can then use this information to adjust their content sales strategies. 【0559】 Step 8: 【0560】 Users ultimately begin selling content at the proposed price confirmed through their device. Even after sales begin, the server continuously monitors revenue data and user feedback, and makes further price adjustments or sales strategy suggestions as needed. 【0561】 (Example 2) 【0562】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0563】 Traditional content distribution systems have suffered from problems such as insufficient copyright protection, inadequate content valuation, and inadequate feedback to creators. In particular, issues include unauthorized use and alteration of content, pricing based on weak evaluation criteria, and a lack of strategies based on market trends. Furthermore, the interface between creators and technological means is insufficient, making it difficult to receive personalized support. 【0564】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0565】 In this invention, the server includes data communication means between information processing devices, means for generating identification information, and a distributed ledger system. This enables enhanced protection of rights and transparency for uploaded content. Furthermore, it includes data analysis means, exchange means for exchanging information between automated dialogue programs, and means for recognizing the creator's emotions and adjusting the response content. This enables the proposal of appropriate product value and the provision of personalized feedback to creators. As a result, it is possible to formulate more effective and efficient market strategies while protecting the interests of creators. 【0566】 An "information processing device" is a device used for processing, storing, and transmitting data, and refers to general hardware including computers and communication equipment. 【0567】 "Data communication means" refers to technologies and protocols for sending and receiving digital data between information processing devices, and enables network communication. 【0568】 "Identification information" refers to data generated to uniquely identify specific digital content, and includes digital signatures and hash values. 【0569】 A "distributed ledger system" is a system that records data while maintaining consistency and transparency among multiple participants without requiring a central administrator, and blockchain technology is a prime example of this. 【0570】 "Data analysis methods" refer to computational techniques that provide methods for analyzing collected data and finding patterns and relationships, and utilize artificial intelligence and machine learning technologies. 【0571】 An "automated dialogue program" is software that enables two-way dialogue in natural language between the user and the program, and refers to what is commonly known as a chatbot. 【0572】 "Means of exchange" refers to mechanisms for sending and receiving information such as data between different systems or devices, and includes interfaces and communication protocols. 【0573】 "Commercial value" refers to the monetary value that a particular piece of content or product has in the market, and is determined based on demand, competition, and valuation. 【0574】 "Means of recognizing emotions" refers to technologies that grasp a user's emotional state through text or voice analysis, and are used to provide feedback based on that emotional state. 【0575】 This invention is a system designed to support content creators, comprehensively providing copyright protection, content evaluation, and sales strategy suggestions through a digital environment. Users utilize this system to upload creative content such as music and videos to a server using a digital information processing device. The server receives this information, generates content identification information using a hash function, and records this information in a distributed ledger system utilizing blockchain technology. This ensures the transparency and protection of the content. 【0576】 The server uses AI analysis tools to perform popularity indicators and data analysis. Specifically, it utilizes know-how used in data analysis platforms to collect content access numbers, reviews, and real-time market trend information, and based on the results of this analysis, proposes the optimal selling price to the user. 【0577】 In addition, users interact with the AI ​​chatbot using an automated dialogue program from the information processing device. An emotion engine installed on the server supports these interactions and analyzes the user's emotional state. For example, it uses Natural Language Processing (NLP) technology to extract emotions from text and speech, and based on the results, the AI ​​chatbot returns a response that corresponds to the user's emotions. 【0578】 For example, when a user uploads a new music piece, identification information for that content is generated and recorded on the blockchain. The server analyzes its popularity and suggests the optimal selling price, while the user consults an AI chatbot for market strategy advice. When a user asks a question in an excited tone, the AI ​​chatbot matches that emotion and provides proactive support in an energetic tone. 【0579】 An example of a prompt message is shown: "Analyze the market evaluation of the newly uploaded work and suggest the optimal selling price." This prompt allows users to efficiently receive system support and successfully deploy their content. 【0580】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0581】 Step 1: 【0582】 The user selects content using an information processing device and uploads it to the server. The input is the digital content file selected by the user, and the device may compress or convert the file in order to send it to the server. The output is the content data sent to the server. 【0583】 Step 2: 【0584】 The server analyzes the received content and generates an identifier using a hash function. The input is the uploaded content data, and the server generates a unique identifier based on this. This identifier can be used to detect content tampering. The output is the generated identifier. 【0585】 Step 3: 【0586】 The server records the generated identification information and associated metadata in a distributed ledger system. The input is the identification information and its associated metadata, which are recorded via blockchain technology. The output is the updated distributed ledger, which provides proof of ownership. 【0587】 Step 4: 【0588】 The server uses AI analysis tools to analyze the popularity of content. Inputs include view counts, reviews, and past trends related to the content. The analysis algorithm processes the data and calculates a popularity index. The output is a popularity score as a result of the analysis. 【0589】 Step 5: 【0590】 The server calculates the optimal product value based on popularity scores and market trend data, and proposes it to the user. The inputs are the analyzed popularity scores and market data. Based on this, calculations are performed to optimize the product value, and the proposed selling price is obtained as the output. 【0591】 Step 6: 【0592】 The user initiates a conversation with the AI ​​chatbot through an information processing device. The input consists of the user's questions and commands, which are received by the automated dialogue program. The output is the response message generated by the AI ​​chatbot. 【0593】 Step 7: 【0594】 The server uses an emotion engine to analyze user input and identify their emotional state. The input consists of text and voice data from the user, which is then analyzed to determine their emotional state. The output is the result of the emotion recognition, which is used to adjust the AI ​​chatbot's response. 【0595】 Step 8: 【0596】 The server collects market trend information and provides it to users. The input is market information gathered from the internet, and after analysis, it generates strategic information regarding appropriate timing. The output is price adjustments and promotional strategies proposed to the user. 【0597】 (Application Example 2) 【0598】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0599】 Modern content creators are required to appropriately value and effectively deliver their work across diverse platforms. However, understanding the emotions and market trends involved in creative activities is difficult, making it challenging to formulate appropriate pricing and effective sales strategies. Furthermore, the simultaneous demands for copyright protection and market differentiation necessitate new approaches. 【0600】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0601】 In this invention, the server includes means for communication between a terminal and a data processing device for uploading content, means for generating a digital fingerprint, means for recording it in a distributed ledger system, machine learning means for analyzing the popularity of the content through real-time analysis, and means for proposing the optimal economic value. This enables creators to instantly evaluate the value of their creations, receive appropriate price offers, and enhance their competitiveness in the market while protecting their intellectual property. 【0602】 "Content" refers to information and works such as music, videos, and text created or generated by users. 【0603】 A "device" is an electronic device used to upload content, and includes smartphones, tablets, and personal computers. 【0604】 A "data processing device" refers to an electronic device used to receive and process uploaded content, and can be a server or a cloud computing environment. 【0605】 "Communication means" refers to methods and technologies for transmitting information between a terminal and a data processing device, and includes the internet and wireless communication technologies. 【0606】 A "digital fingerprint" is a unique electronic hash value generated for the purpose of identifying content. 【0607】 A "distributed ledger system" is a system that uses blockchain technology to record information securely and immutably. 【0608】 "Real-time analysis" is a data analysis technology that processes uploaded information in real time and obtains results quickly. 【0609】 "Machine learning methods" refer to algorithms and models used to extract patterns and rules from data and make predictions and judgments. 【0610】 "Economic value" is a numerical representation of the market value of content, and is an indicator used to evaluate sales price and demand. 【0611】 "Means of managing transactions" refer to methods and technologies for efficiently buying and selling content based on its proposed economic value. 【0612】 An "automated dialogue system" is an artificial intelligence system that exchanges information with users through natural language dialogue. 【0613】 "Market information" refers to information about market trends and developments, which influences content sales strategies and valuation. 【0614】 An "emotional analysis engine" is a technology for analyzing and recognizing emotions from speech and text. 【0615】 A "creator" is an individual or group that creates new content, including artists and writers. 【0616】 To implement this invention, a terminal for uploading content, a server for processing data, and a system for automated interaction with users are required. The server receives the content from the terminal, generates a digital fingerprint, and records it in a distributed ledger system. This digital fingerprint is useful for identifying the content and protecting intellectual property. Content uploads are performed via terminals such as smartphones and tablets. 【0617】 The server uses real-time analysis technology and machine learning to analyze the popularity of uploaded content in real time and propose the optimal economic value. This allows creators to increase their competitiveness in the market and quickly set appropriate prices. Based on this proposed economic value, they can manage transactions and develop effective sales strategies. 【0618】 Users can receive more personalized feedback by utilizing an emotion analysis engine to analyze the emotions contained in their voice and text. This emotion analysis engine uses a generative AI model to perform natural language processing and provide appropriate dialogue based on emotional states and market trends. 【0619】 For example, suppose an artist gathers ideas for a new song on their smartphone and uploads them to a server. The server generates a digital fingerprint for the song and records it in a distributed ledger simultaneously with the upload. Immediately afterward, the server performs market analysis, predicts the song's popularity, and suggests an optimal selling price to the artist. In this process, an emotional analysis engine provides feedback tailored to the artist's emotional state. This embodiment helps creators quickly and accurately assess the value of their work and implement appropriate sales strategies. 【0620】 An example of a prompt message is as follows: "I'm writing a new pop song. I particularly like the chorus, but I'd like some advice on market reaction and pricing." 【0621】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0622】 Step 1: 【0623】 The device receives content from the user as input. The user records newly created music, video, or text data using a smartphone or tablet and prepares it for uploading to the server. At this stage, the user can also add metadata as needed. 【0624】 Step 2: 【0625】 The server receives content transmitted from the terminal and generates a digital fingerprint using a digital fingerprint generation mechanism. This gives the content a unique identifier, and it is then securely recorded in a distributed ledger system along with related intellectual property information. The input is content data, and the output is the digital fingerprint and its record. 【0626】 Step 3: 【0627】 The server immediately begins analysis and uses machine learning techniques to predict the popularity of the content. Here, a generative AI model is used to analyze historical data and market trends, and based on the results, it evaluates how well the content will be received in the market. The input is digitized content data and market data, and the output is the popularity prediction result. 【0628】 Step 4: 【0629】 The server calculates the optimal economic value of content based on popularity predictions. Using the analysis results, it notifies users of the suggested selling price, supporting appropriate pricing. This economic value proposition helps in developing content monetization strategies. The input is the popularity prediction, and the output is the suggested price. 【0630】 Step 5: 【0631】 Users receive feedback on sales strategies and pricing information provided by the server through an automated dialogue system. An emotion analysis engine analyzes the user's emotional state and provides personalized dialogue tailored to that state. It assists the user in considering and implementing the final sales strategy. Input is the user's voice or text information, and output is emotionally relevant dialogue. 【0632】 Step 6: 【0633】 The server continuously monitors the market environment based on market information and provides users with timely price adjustments and promotional suggestions. In this way, users can quickly respond to market changes and obtain information to maximize the sales effectiveness of their content. The input is market trend data, and the output is a tailored sales strategy. 【0634】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0635】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0636】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0637】 [Fourth Embodiment] 【0638】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0639】 As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server. 【0640】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0641】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0642】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0643】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0644】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0645】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0646】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0647】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0648】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0649】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0650】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0651】 This invention provides an AI-based system for content creators to securely manage and effectively monetize their works. The system begins with the user uploading content to a server using a device. The server generates a digital fingerprint for the received content and records this fingerprint, along with associated copyright information, on a blockchain. This ensures that the rights to the work are properly protected. 【0652】 Furthermore, the server uses AI analysis tools to analyze the popularity of uploaded content in real time. Based on the data obtained from this analysis, the server proposes the optimal selling price to the user. This pricing proposal is crucial support for users in maximizing their revenue. 【0653】 Users can interact with the AI ​​chatbot through their device, obtaining necessary information and feedback. This facilitates smooth communication between the user and the server. The server, in turn, provides users with information on market trends and data to optimize content sales strategies. 【0654】 As a concrete example, consider a scenario where a creator registers a new illustration on a marketplace. Users select artwork on their devices and upload it to a server. The server generates a digital fingerprint and stores copyright information on the blockchain, helping to prevent theft. AI analysis tools quickly determine the popularity of the illustration and suggest the optimal price. This allows users to start selling their work at the suggested price and generate revenue at the right time. Furthermore, by constantly monitoring market trends, new sales opportunities and appropriate promotional strategies can be selected. 【0655】 By integrating these elements, we can provide comprehensive support to creators and contribute to the sustainable development of their businesses. 【0656】 The following describes the processing flow. 【0657】 Step 1: 【0658】 The user selects content using their device and uploads it to the server. The device first verifies which file has been selected, and then sends the selected content data to the server. 【0659】 Step 2: 【0660】 The server generates a digital fingerprint of the received content using an algorithm. This digital fingerprint indicates the uniqueness of the work and is used as data necessary for subsequent copyright management. 【0661】 Step 3: 【0662】 The server records the generated digital fingerprint and associated copyright information on the blockchain. This ensures that content is not tampered with and that evidence is preserved. 【0663】 Step 4: 【0664】 The server uses AI analysis tools to analyze the popularity of content in real time. This analysis includes user counts, view counts, and past sales data, collecting data to evaluate market trends and the acceptance of the work. 【0665】 Step 5: 【0666】 The server calculates the optimal selling price based on the analysis results and notifies the user's terminal of this information. This suggested price is individually optimized and serves as reference information for the user to use when setting their own prices. 【0667】 Step 6: 【0668】 Users can interact with an AI chatbot through their device to receive advice on sales strategies for their artwork and feedback based on their orders. The chatbot can also provide information on specific sales promotion methods and target markets. 【0669】 Step 7: 【0670】 The server collects the latest market trends and provides them to users regularly. This allows users to understand market changes and adjust their sales strategies in real time. 【0671】 Step 8: 【0672】 Users eventually begin selling their content at optimized pricing. The server continuously monitors sales data and suggests revised pricing and promotional strategies as needed. 【0673】 (Example 1) 【0674】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0675】 Content creators face numerous challenges in securely managing their work and effectively monetizing it. Specifically, establishing measures to prevent misuse of their work, analyzing demand in a timely manner to set appropriate prices, and developing sales strategies that align with market trends are not easy tasks, and a comprehensive system is needed to address these issues. 【0676】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0677】 In this invention, the server includes means for communication between an information device and an information processing device for uploading content, means for generating a digital fingerprint of the uploaded information, and a distributed database system for recording the generated digital fingerprint and associated rights protection information. This enables secure identification and rights protection of content, as well as analysis of market demand and dynamic pricing. 【0678】 "Content" refers to information expressed in digital format, including images, music, text, and videos—works created by creators. 【0679】 "Information device" refers to a terminal or computer device used by a user, and is a device that enables content uploading and interaction with AI chatbots. 【0680】 An "information processing device" refers to a central device that manages, analyzes, and records content, such as a server or cloud computing system. 【0681】 "Communication means" refers to technologies and protocols for sending and receiving data between information devices and information processing devices, or between other systems. 【0682】 A "digital fingerprint" is a unique identifier generated for content, calculated using a hash function or similar method. 【0683】 "Rights protection information" refers to data related to the legal rights of content, such as copyright and ownership rights. 【0684】 A "distributed database system" is a system in which data is distributed and stored across multiple nodes, and typically uses blockchain technology to prevent data tampering. 【0685】 "Artificial intelligence analysis tools" refer to functions that utilize AI technology to analyze the popularity of content and market trends in real time. 【0686】 A "generative AI model" refers to an AI system that uses machine learning algorithms to learn patterns from data and generate new information. 【0687】 An "artificial intelligence conversational robot" refers to an AI system that uses natural language processing technology to interact with users, answer questions, and provide information. 【0688】 "Market trends" refer to information that reflects changes in consumer interests and needs, as well as economic conditions, and are factors that influence sales strategies. 【0689】 The system of this invention provides an integrated environment for content creators to securely manage their works and effectively monetize them. This system is realized by combining information devices, information processing devices, and various AI technologies. 【0690】 Users first select their artwork using their own device (information device) and upload it to an information processing device (server). This information device provides an interface for selecting content and has the ability to communicate with the server. 【0691】 The server generates a unique digital fingerprint for the received content. Technologies such as hash functions are used for this generation. The generated digital fingerprint and associated rights protection information are recorded in a tamper-proof, decentralized database system (e.g., blockchain). 【0692】 Furthermore, the server uses artificial intelligence analysis tools to analyze the market popularity of uploaded content in real time. This analysis is performed using data analysis methods based on AI models, and the generative AI model generates prompts to predict how the user's content will be received. This allows the server to offer the user the optimal selling price and help maximize revenue. 【0693】 Users interact with an artificial intelligence conversational robot provided by the server using a terminal. This allows users to obtain additional information about proposed sales prices or inquire about market trends. This function uses natural language processing technology to generate appropriate output in response to user input. 【0694】 As a concrete example, consider a scenario where a user lists a new digital illustration on an online marketplace. The user selects an illustration on their device and uploads it to a server. The server generates a digital fingerprint of the illustration and records the rights protection information on the blockchain. AI analyzes the popularity of the illustration in the marketplace and suggests an appropriate selling price to the user. Users who accept this price suggestion can then begin selling their illustration on the marketplace. 【0695】 An example of a prompt to input into a generative AI model is the specific instruction, "Suggest the optimal pricing for selling a new digital illustration on an online marketplace. The target marketplace is an art platform aimed at young people." This prompt allows the generative AI model to suggest the best approach for the marketplace. 【0696】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0697】 Step 1: 【0698】 The user uses a device to select content and upload it to the server. The user uses the device's file selection interface to choose the image or music files they want to upload. The selected files are transferred from the device to the server via communication. The input is the content file, and the output is the content stored on the server. 【0699】 Step 2: 【0700】 The server generates a digital fingerprint for the received content. The server uses a hash function to calculate a unique identifier for the content data. This identifier becomes the digital fingerprint. The input is the uploaded content data, and the output is its digital fingerprint. 【0701】 Step 3: 【0702】 The server records the generated digital fingerprint and copyright information in a distributed database system. The server collects metadata related to the fingerprint and copyright and securely records it using blockchain technology. The input is the digital fingerprint and copyright information, and the output is the data recorded in the distributed database. 【0703】 Step 4: 【0704】 The server uses AI analysis tools to analyze the popularity of content in real time. The server uses a generative AI model to score content based on market data and prompt text. The input is a digital fingerprint and prompt text, and the output is the analyzed popularity data. 【0705】 Step 5: 【0706】 The server proposes the optimal selling price to the user based on the analysis results. The server calculates the price using an algorithm based on popularity data and notifies the user's terminal of the proposed price. The input is popularity data, and the output is optimized selling price information. 【0707】 Step 6: 【0708】 Users interact with an AI chatbot through their device to obtain additional information about the proposed price. When a user enters a question into the chatbot, the chatbot generates and presents an answer using a generative AI model. The input is the user's question, and the output is the chatbot's answer. 【0709】 Step 7: 【0710】 The server analyzes market trends and generates market reports to provide users with timely information. The server collects market trend data, analyzes it using an AI model, and compiles it into a report. The input is market data, and the output is the generated market report. 【0711】 (Application Example 1) 【0712】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0713】 In modern society, content creators are required to safely manage their works and effectively monetize them. However, with the rapid spread of digital content, the risks of content theft and copyright infringement are increasing. Furthermore, it is not easy to grasp trends in diverse markets and achieve sales at fair prices. It is necessary to solve these challenges and provide an environment in which content creators can work with peace of mind. 【0714】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0715】 In this invention, the server includes means for communication between an information terminal and an information processing device for uploading content, means for generating a digital fingerprint of the uploaded data, a distributed ledger system for recording the generated digital fingerprint and associated rights information, artificial intelligence analysis means for instantly analyzing the popularity of the data, means for proposing an optimal offering price based on the analysis results, means for managing distribution based on the proposed offering price, communication means for exchanging information between the user and the artificial intelligence, and means for providing information on market trends. This enables content creators to securely manage their works and optimize pricing and sales strategies that take market trends into consideration. 【0716】 An "information terminal" is an electronic device used by content creators to upload data, and includes devices such as smartphones and smart glasses. 【0717】 An "information processing device" is a computer server used to process and analyze received data, and is a device that handles communication and data storage. 【0718】 A "digital fingerprint" is a distinctive piece of digital information created to guarantee the uniqueness of digital data, and is used for data identification and copyright protection. 【0719】 A "distributed ledger system" is a system that utilizes blockchain technology to record and manage digital fingerprints and related information. 【0720】 "Artificial intelligence analysis methods" refer to methods that use artificial intelligence technology to analyze data and evaluate its popularity and related information in real time. 【0721】 "Methods for proposing a price" refer to methods for deriving and proposing the optimal price based on analyzed data and considering market conditions. 【0722】 "Means of managing distribution" refers to means of effectively distributing content and optimizing sales based on the proposed pricing. 【0723】 "Artificial incompetence" refers to conversational software agents that automatically engage in dialogue with users and provide information; they are also known as AI chatbots. 【0724】 This invention provides a system that enables content creators to securely manage and effectively monetize their work. The system is configured as follows: 【0725】 First, users upload their digital content to a server using an information terminal, such as a smartphone or smart glasses. The server generates a digital fingerprint for the received content and records this digital fingerprint and associated rights information in a distributed ledger system. This makes it possible to identify the content and ensures copyright status. 【0726】 Next, the server uses artificial intelligence analysis tools to instantly analyze the popularity of the uploaded data. This AI uses TensorFlow or a similar AI engine. Based on the analyzed data, a system for suggesting pricing is activated, showing the user the optimal price considering market trends. 【0727】 Furthermore, users can send questions and instructions to the system via artificial intelligence and receive corresponding information in real time. This artificial intelligence utilizes conversational agents such as Dialogflow or GPT models. 【0728】 As a concrete example, a creator who has produced a new illustration takes a picture of the work with their smartphone and uploads it to the system. The server automatically generates a fingerprint of the work and stores it on the blockchain. The system then analyzes the market demand for that illustration and proposes the optimal selling price to the creator. 【0729】 The introduction of this system allows creators to securely manage their work and increase revenue through appropriate pricing. The generative AI model is effectively utilized by using example prompts such as, "Analyze the popularity of uploaded content and suggest the optimal selling price. Also, suggest effective promotional strategies as advice for users." 【0730】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0731】 Step 1: 【0732】 The user uploads digital content to the server using an information terminal. The input is the user's content data, and the output is the data transfer to the server. In this step, the content data is transmitted through the operation of the information terminal. 【0733】 Step 2: 【0734】 The server generates a digital fingerprint for the received content data. The input is the content data obtained in step 1, and the output is the generated digital fingerprint. The algorithm for generating the digital fingerprint is executed to create unique identification information for the content. 【0735】 Step 3: 【0736】 The server records the digital fingerprint and associated rights information in a distributed ledger system. The input is the digital fingerprint and rights information generated in step 2, and the output is the recording to the distributed ledger system. Blockchain technology is used to store the digital fingerprint and rights information in a tamper-proof manner. 【0737】 Step 4: 【0738】 The server uses artificial intelligence analysis tools to analyze the popularity of the content. The input is the content data uploaded in step 1, and the output is the analyzed popularity data. AI tools such as TensorFlow are used to evaluate and analyze the data and generate content ratings. 【0739】 Step 5: 【0740】 The server proposes the optimal price based on the analyzed popularity data. The input is the popularity data obtained in step 4, and the output is the proposed price. A "generative AI model" is used to analyze market trends and demand and present a fair price to the user. 【0741】 Step 6: 【0742】 The user reviews the information suggested through the AI ​​and makes adjustments or provides instructions as needed. The input is the price suggestion provided in step 5, and the output is the user's feedback. Through interaction with the AI, the optimal pricing strategy for the buyer is determined. 【0743】 Step 7: 【0744】 The server manages distribution and begins selling content based on user selection. The input is user feedback obtained in step 6, and the output is content sales management information. Preparation for market release is carried out based on appropriate promotional measures and commercialization strategies. 【0745】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0746】 This invention is an AI-based system for supporting content creators, incorporating an emotion engine that recognizes user emotions. The system begins with the user uploading content to a server using a terminal. The server receives the content, generates a digital fingerprint, and records the relevant information on a blockchain. Subsequently, the server uses AI analysis tools to analyze the popularity of the content and proposes an optimal selling price to the user. 【0747】 This system utilizes an emotion engine in the interaction between the user and the AI ​​chatbot. The emotion engine analyzes the nuances of the user's voice and text to recognize their emotional state. Based on these results, the AI ​​chatbot responds with appropriate tone and content, making the information the user receives more personalized. 【0748】 As a concrete example, consider a scenario where a creator uploads their music and consults with an AI chatbot about sales strategies. The user uploads their work to a server via their device, and a digital fingerprint is recorded on the blockchain. The server analyzes the popularity of the work and notifies the user of a suggested price. Furthermore, once the user begins interacting with the chatbot, an emotion engine analyzes the tone of the user's voice, and if it detects excitement, the AI ​​chatbot responds with an energetic response that matches that state. This makes the user feel that the conversation matches their mood, enabling them to make better decisions. 【0749】 In addition, the server constantly collects and provides market trend information to users, allowing for timely price adjustments and promotional strategies. Thus, the system of this invention, including the emotion engine, supports the success of creators and provides the best possible path to creating a suitable business environment. 【0750】 The following describes the processing flow. 【0751】 Step 1: 【0752】 The user selects their content on their device and initiates the upload process. The device then prepares to send the selected content to the server. 【0753】 Step 2: 【0754】 The server generates a digital fingerprint for the content it receives. This fingerprint guarantees the uniqueness of the work, and the server records it along with copyright information in the blockchain system to protect rights. 【0755】 Step 3: 【0756】 The server uses AI analysis tools to analyze the popularity of uploaded content. Based on access numbers, market trends, and historical data, it runs a predictive algorithm to evaluate the content. 【0757】 Step 4: 【0758】 The server calculates the optimal selling price based on the popularity analysis results. The calculated price is notified to the user via their device, allowing them to confirm it. 【0759】 Step 5: 【0760】 The user initiates a conversation with the AI ​​chatbot using their device. The emotion engine analyzes the user's voice and input text, recognizing their emotional state in real time. 【0761】 Step 6: 【0762】 The AI ​​chatbot adjusts the content and tone of its responses based on the user's emotions, as recognized by its emotion engine. If the user's emotions are positive, it will provide encouraging responses; if they are negative, it will provide calm and empathetic responses. 【0763】 Step 7: 【0764】 The server collects the latest market trends and transmits this information to the user's terminal as needed. Users can then use this information to adjust their content sales strategies. 【0765】 Step 8: 【0766】 Users ultimately begin selling content at the proposed price confirmed through their device. Even after sales begin, the server continuously monitors revenue data and user feedback, and makes further price adjustments or sales strategy suggestions as needed. 【0767】 (Example 2) 【0768】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0769】 Traditional content distribution systems have suffered from problems such as insufficient copyright protection, inadequate content valuation, and inadequate feedback to creators. In particular, issues include unauthorized use and alteration of content, pricing based on weak evaluation criteria, and a lack of strategies based on market trends. Furthermore, the interface between creators and technological means is insufficient, making it difficult to receive personalized support. 【0770】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0771】 In this invention, the server includes data communication means between information processing devices, means for generating identification information, and a distributed ledger system. This enables enhanced protection of rights and transparency for uploaded content. Furthermore, it includes data analysis means, exchange means for exchanging information between automated dialogue programs, and means for recognizing the creator's emotions and adjusting the response content. This enables the proposal of appropriate product value and the provision of personalized feedback to creators. As a result, it is possible to formulate more effective and efficient market strategies while protecting the interests of creators. 【0772】 An "information processing device" is a device used for processing, storing, and transmitting data, and refers to general hardware including computers and communication equipment. 【0773】 "Data communication means" refers to technologies and protocols for sending and receiving digital data between information processing devices, and enables network communication. 【0774】 "Identification information" refers to data generated to uniquely identify specific digital content, and includes digital signatures and hash values. 【0775】 A "distributed ledger system" is a system that records data while maintaining consistency and transparency among multiple participants without requiring a central administrator, and blockchain technology is a prime example of this. 【0776】 "Data analysis methods" refer to computational techniques that provide methods for analyzing collected data and finding patterns and relationships, and utilize artificial intelligence and machine learning technologies. 【0777】 An "automated dialogue program" is software that enables two-way dialogue in natural language between the user and the program, and refers to what is commonly known as a chatbot. 【0778】 "Means of exchange" refers to mechanisms for sending and receiving information such as data between different systems or devices, and includes interfaces and communication protocols. 【0779】 "Commercial value" refers to the monetary value that a particular piece of content or product has in the market, and is determined based on demand, competition, and valuation. 【0780】 "Means of recognizing emotions" refers to technologies that grasp a user's emotional state through text or voice analysis, and are used to provide feedback based on that emotional state. 【0781】 This invention is a system designed to support content creators, comprehensively providing copyright protection, content evaluation, and sales strategy suggestions through a digital environment. Users utilize this system to upload creative content such as music and videos to a server using a digital information processing device. The server receives this information, generates content identification information using a hash function, and records this information in a distributed ledger system utilizing blockchain technology. This ensures the transparency and protection of the content. 【0782】 The server uses AI analysis tools to perform popularity indicators and data analysis. Specifically, it utilizes know-how used in data analysis platforms to collect content access numbers, reviews, and real-time market trend information, and based on the results of this analysis, proposes the optimal selling price to the user. 【0783】 In addition, users interact with the AI ​​chatbot using an automated dialogue program from the information processing device. An emotion engine installed on the server supports these interactions and analyzes the user's emotional state. For example, it uses Natural Language Processing (NLP) technology to extract emotions from text and speech, and based on the results, the AI ​​chatbot returns a response that corresponds to the user's emotions. 【0784】 For example, when a user uploads a new music piece, identification information for that content is generated and recorded on the blockchain. The server analyzes its popularity and suggests the optimal selling price, while the user consults an AI chatbot for market strategy advice. When a user asks a question in an excited tone, the AI ​​chatbot matches that emotion and provides proactive support in an energetic tone. 【0785】 An example of a prompt message is shown: "Analyze the market evaluation of the newly uploaded work and suggest the optimal selling price." This prompt allows users to efficiently receive system support and successfully deploy their content. 【0786】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0787】 Step 1: 【0788】 The user selects content using an information processing device and uploads it to the server. The input is the digital content file selected by the user, and the device may compress or convert the file in order to send it to the server. The output is the content data sent to the server. 【0789】 Step 2: 【0790】 The server analyzes the received content and generates an identifier using a hash function. The input is the uploaded content data, and the server generates a unique identifier based on this. This identifier can be used to detect content tampering. The output is the generated identifier. 【0791】 Step 3: 【0792】 The server records the generated identification information and associated metadata in a distributed ledger system. The input is the identification information and its associated metadata, which are recorded via blockchain technology. The output is the updated distributed ledger, which provides proof of ownership. 【0793】 Step 4: 【0794】 The server uses AI analysis tools to analyze the popularity of content. Inputs include view counts, reviews, and past trends related to the content. The analysis algorithm processes the data and calculates a popularity index. The output is a popularity score as a result of the analysis. 【0795】 Step 5: 【0796】 The server calculates the optimal product value based on popularity scores and market trend data, and proposes it to the user. The inputs are the analyzed popularity scores and market data. Based on this, calculations are performed to optimize the product value, and the proposed selling price is obtained as the output. 【0797】 Step 6: 【0798】 The user initiates a conversation with the AI ​​chatbot through an information processing device. The input consists of the user's questions and commands, which are received by the automated dialogue program. The output is the response message generated by the AI ​​chatbot. 【0799】 Step 7: 【0800】 The server uses an emotion engine to analyze user input and identify their emotional state. The input consists of text and voice data from the user, which is then analyzed to determine their emotional state. The output is the result of the emotion recognition, which is used to adjust the AI ​​chatbot's response. 【0801】 Step 8: 【0802】 The server collects market trend information and provides it to users. The input is market information gathered from the internet, and after analysis, it generates strategic information regarding appropriate timing. The output is price adjustments and promotional strategies proposed to the user. 【0803】 (Application Example 2) 【0804】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0805】 Modern content creators are required to appropriately value and effectively deliver their work across diverse platforms. However, understanding the emotions and market trends involved in creative activities is difficult, making it challenging to formulate appropriate pricing and effective sales strategies. Furthermore, the simultaneous demands for copyright protection and market differentiation necessitate new approaches. 【0806】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0807】 In this invention, the server includes means for communication between a terminal and a data processing device for uploading content, means for generating a digital fingerprint, means for recording it in a distributed ledger system, machine learning means for analyzing the popularity of the content through real-time analysis, and means for proposing the optimal economic value. This enables creators to instantly evaluate the value of their creations, receive appropriate price offers, and enhance their competitiveness in the market while protecting their intellectual property. 【0808】 "Content" refers to information and works such as music, videos, and text created or generated by users. 【0809】 A "device" is an electronic device used to upload content, and includes smartphones, tablets, and personal computers. 【0810】 A "data processing device" refers to an electronic device used to receive and process uploaded content, and can be a server or a cloud computing environment. 【0811】 "Communication means" refers to methods and technologies for transmitting information between a terminal and a data processing device, and includes the internet and wireless communication technologies. 【0812】 A "digital fingerprint" is a unique electronic hash value generated for the purpose of identifying content. 【0813】 A "distributed ledger system" is a system that uses blockchain technology to record information securely and immutably. 【0814】 "Real-time analysis" is a data analysis technology that processes uploaded information in real time and obtains results quickly. 【0815】 "Machine learning methods" refer to algorithms and models used to extract patterns and rules from data and make predictions and judgments. 【0816】 "Economic value" is a numerical representation of the market value of content, and is an indicator used to evaluate sales price and demand. 【0817】 "Means of managing transactions" refer to methods and technologies for efficiently buying and selling content based on its proposed economic value. 【0818】 An "automated dialogue system" is an artificial intelligence system that exchanges information with users through natural language dialogue. 【0819】 "Market information" refers to information about market trends and developments, which influences content sales strategies and valuation. 【0820】 An "emotional analysis engine" is a technology for analyzing and recognizing emotions from speech and text. 【0821】 A "creator" is an individual or group that creates new content, including artists and writers. 【0822】 To implement this invention, a terminal for uploading content, a server for processing data, and a system for automated interaction with users are required. The server receives the content from the terminal, generates a digital fingerprint, and records it in a distributed ledger system. This digital fingerprint is useful for identifying the content and protecting intellectual property. Content uploads are performed via terminals such as smartphones and tablets. 【0823】 The server uses real-time analysis technology and machine learning to analyze the popularity of uploaded content in real time and propose the optimal economic value. This allows creators to increase their competitiveness in the market and quickly set appropriate prices. Based on this proposed economic value, they can manage transactions and develop effective sales strategies. 【0824】 Users can receive more personalized feedback by utilizing an emotion analysis engine to analyze the emotions contained in their voice and text. This emotion analysis engine uses a generative AI model to perform natural language processing and provide appropriate dialogue based on emotional states and market trends. 【0825】 For example, suppose an artist gathers ideas for a new song on their smartphone and uploads them to a server. The server generates a digital fingerprint for the song and records it in a distributed ledger simultaneously with the upload. Immediately afterward, the server performs market analysis, predicts the song's popularity, and suggests an optimal selling price to the artist. In this process, an emotional analysis engine provides feedback tailored to the artist's emotional state. This embodiment helps creators quickly and accurately assess the value of their work and implement appropriate sales strategies. 【0826】 An example of a prompt message is as follows: "I'm writing a new pop song. I particularly like the chorus, but I'd like some advice on market reaction and pricing." 【0827】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0828】 Step 1: 【0829】 The device receives content from the user as input. The user records newly created music, video, or text data using a smartphone or tablet and prepares it for uploading to the server. At this stage, the user can also add metadata as needed. 【0830】 Step 2: 【0831】 The server receives content transmitted from the terminal and generates a digital fingerprint using a digital fingerprint generation mechanism. This gives the content a unique identifier, and it is then securely recorded in a distributed ledger system along with related intellectual property information. The input is content data, and the output is the digital fingerprint and its record. 【0832】 Step 3: 【0833】 The server immediately begins analysis and uses machine learning techniques to predict the popularity of the content. Here, a generative AI model is used to analyze historical data and market trends, and based on the results, it evaluates how well the content will be received in the market. The input is digitized content data and market data, and the output is the popularity prediction result. 【0834】 Step 4: 【0835】 The server calculates the optimal economic value of content based on popularity predictions. Using the analysis results, it notifies users of the suggested selling price, supporting appropriate pricing. This economic value proposition helps in developing content monetization strategies. The input is the popularity prediction, and the output is the suggested price. 【0836】 Step 5: 【0837】 Users receive feedback on sales strategies and pricing information provided by the server through an automated dialogue system. An emotion analysis engine analyzes the user's emotional state and provides personalized dialogue tailored to that state. It assists the user in considering and implementing the final sales strategy. Input is the user's voice or text information, and output is emotionally relevant dialogue. 【0838】 Step 6: 【0839】 The server continuously monitors the market environment based on market information and provides users with timely price adjustments and promotional suggestions. In this way, users can quickly respond to market changes and obtain information to maximize the sales effectiveness of their content. The input is market trend data, and the output is a tailored sales strategy. 【0840】 The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0841】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0842】 In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0843】 Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0844】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0845】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0846】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0847】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0848】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0849】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0850】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0851】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0852】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0853】 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. 【0854】 Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0855】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory. 【0856】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0857】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0858】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0859】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0860】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0861】 The following is further disclosed regarding the embodiments described above. 【0862】 (Claim 1) 【0863】 A means of communication between the terminal and the server for uploading content, 【0864】 A means of generating a digital fingerprint of uploaded content, 【0865】 A blockchain system that records the generated digital fingerprint and associated copyright information, 【0866】 An AI analysis tool that analyzes the popularity of content in real time, 【0867】 A method for proposing the optimal selling price based on the analysis results, 【0868】 A means of managing sales based on the proposed selling price, 【0869】 A means of communication for exchanging information between users and AI chatbots, 【0870】 Means of providing information on market trends, 【0871】 A system that utilizes the above elements to support creators and provide support at each stage. 【0872】 (Claim 2) 【0873】 The system according to claim 1, which uses digital fingerprints to identify content and enhance copyright protection. 【0874】 (Claim 3) 【0875】 The system according to claim 1, further comprising means for dynamically adjusting the price of content using data obtained through real-time analysis. 【0876】 "Example 1" 【0877】 (Claim 1) 【0878】 A means of communication between an information device and an information processing device for uploading content, 【0879】 A means of generating a digital fingerprint of uploaded information, 【0880】 A distributed database system that records generated digital fingerprints and related rights protection information, 【0881】 An artificial intelligence analysis tool that analyzes the popularity of information in real time, 【0882】 A means of presenting the optimal selling price based on the analysis results, 【0883】 A means of controlling transactions based on the presented selling price, 【0884】 A means of communication for exchanging information between a user and an artificial intelligence dialogue robot, 【0885】 Means of providing information on market trends, 【0886】 A means of supporting dynamic market forecasting using generative AI models, 【0887】 A system that utilizes the above elements to assist creators and provide support at each stage. 【0888】 (Claim 2) 【0889】 The system according to claim 1, which uses digital fingerprints to identify information and enhance rights protection. 【0890】 (Claim 3) 【0891】 The system according to claim 1, further comprising means for dynamically adjusting the price of information using data obtained by real-time analysis. 【0892】 "Application Example 1" 【0893】 (Claim 1) 【0894】 A means of communication between an information terminal and an information processing device for uploading content, 【0895】 A means of generating a digital fingerprint of uploaded data, 【0896】 A distributed ledger system that records generated digital fingerprints and associated rights information, 【0897】 An artificial intelligence analysis tool that instantly analyzes the popularity of data, 【0898】 A means of proposing the optimal price based on the analysis results, 【0899】 A means of managing distribution based on the proposed price, 【0900】 A means of communication for exchanging information between users and artificial intelligence, 【0901】 Means of providing information on market trends, 【0902】 A system that utilizes the above elements to support content providers and provides assistance at each stage. 【0903】 (Claim 2) 【0904】 The system according to claim 1, which uses digital fingerprints to identify data and enhance rights protection. 【0905】 (Claim 3) 【0906】 The system according to claim 1, which has means for flexibly adjusting the price of data using data obtained by real-time analysis. 【0907】 "Example 2 of combining an emotion engine" 【0908】 (Claim 1) 【0909】 An information processing device for uploading content and a means for data communication between information processing devices, 【0910】 A means for generating identification information for uploaded content, 【0911】 A distributed ledger system that records generated identification information and related rights information, 【0912】 A data analysis tool that analyzes content evaluation in real time, 【0913】 A means of proposing the optimal product value based on the analysis results, 【0914】 A means of managing transactions based on the proposed commodity value, 【0915】 A means of exchange for exchanging information between the user and the automated dialogue program, 【0916】 Means of providing data on market trends, 【0917】 A means of recognizing the user's emotions and adjusting the response content, 【0918】 A system that utilizes the above elements to support creators and provides assistance at each stage. 【0919】 (Claim 2) 【0920】 The system according to claim 1, which uses identification information to verify content and enhances rights protection. 【0921】 (Claim 3) 【0922】 The system according to claim 1, comprising means for dynamically adjusting the value of content using data obtained by real-time analysis. 【0923】 "Application example 2 when combining with an emotional engine" 【0924】 (Claim 1) 【0925】 A means of communication between a terminal and a data processing device for uploading content, 【0926】 A means of generating a digital fingerprint of uploaded content, 【0927】 A distributed ledger system for recording generated digital fingerprints and related intellectual property information, 【0928】 A machine learning method that analyzes the popularity of content through immediate analysis, 【0929】 A means of proposing the optimal economic value based on the analysis results, 【0930】 A means of managing transactions based on the proposed economic value, 【0931】 A means of communication for exchanging information between the user and the automated dialogue system, 【0932】 Means of providing market information, 【0933】 An emotion analysis engine that analyzes the nuances of speech and text and recognizes emotional states, 【0934】 A means to instantly digitize recorded content ideas and securely record them in a distributed ledger, 【0935】 A system that utilizes the above elements to support creators and provide assistance at each stage. 【0936】 (Claim 2) 【0937】 The system according to claim 1, which uses digital fingerprints to identify content and enhance intellectual property protection. 【0938】 (Claim 3) 【0939】 The system according to claim 1, comprising means for dynamically adjusting the economic value of content using data obtained by real-time analysis. [Explanation of symbols] 【0940】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A means of communication between the terminal and the server for uploading content, A means of generating a digital fingerprint of uploaded content, A blockchain system that records the generated digital fingerprint and associated copyright information, An AI analysis tool that analyzes the popularity of content in real time, A method for proposing the optimal selling price based on the analysis results, A means of managing sales based on the proposed selling price, A means of communication for exchanging information between users and AI chatbots, Means of providing information on market trends, A system that utilizes the above elements to support creators and provide support at each stage. [Claim 2] The system according to claim 1, which uses digital fingerprints to identify content and enhance copyright protection. [Claim 3] The system according to claim 1, further comprising means for dynamically adjusting the price of content using data obtained through real-time analysis.

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