system

Abstract

We provide the system. [Solution] Information processing device means for receiving data and analyzing its contents, An artificial intelligence means that automatically formats the structure and design of a document based on the analyzed content, An avatar-type artificial intelligence tool that performs a final check of formatted documents and provides feedback, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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 Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In document creation, the work of arranging the composition and design of information takes a lot of time and is difficult for many people. Also, there may be cases where the consistency and readability of the document cannot be maintained, and due to these problems, the quality of the document tends to decline. Therefore, there is a need for a technology that allows anyone to easily and efficiently create high-quality documents. 【Means for Solving the Problems】 【0005】 This invention utilizes artificial intelligence to automatically format the structure and design of a document by providing an information processing device that receives and analyzes its contents. Furthermore, by using an avatar-type artificial intelligence that performs a final check of the formatted document and provides feedback, the invention provides a means to evaluate the readability, consistency, and format of the document and improve its quality, thereby solving the aforementioned problems. 【0006】 "Documents" refer to information media such as documents and presentations that users create and use to communicate information to others. 【0007】 An "information processing device" is a device or system that performs analysis and calculations on input data and generates output results according to a specific purpose. 【0008】 "Artificial intelligence" is a computer system technology that imitates human intellectual activity and performs tasks such as data analysis and pattern recognition. 【0009】 An "avatar-type artificial intelligence" is a form of artificial intelligence that has a human-like interface and provides interactive feedback. 【0010】 "Readability" is a characteristic that indicates the degree to which texts and documents are easy to read and understand. 【0011】 "Consistency" refers to a characteristic where the information and style used within a document are unified. 【0012】 "Feedback" refers to information, including suggestions for improvement and opinions, that are provided as a result of processing or evaluation. [Brief explanation of the drawing] 【0013】 [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]It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined. 【Embodiments for Carrying Out the Invention】 【0014】 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. 【0015】 First, the terms used in the following description will be explained. 【0016】 In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0017】 In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0018】 In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc. 【0019】 In the following embodiments, a numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc. 【0020】 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." 【0021】 [First Embodiment] 【0022】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0023】 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. 【0024】 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). 【0025】 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. 【0026】 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. 【0027】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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. 【0028】 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. 【0029】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0030】 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. 【0031】 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. 【0032】 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. 【0033】 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". 【0034】 This invention is a system for efficiently and effectively organizing user-created documents to a high standard. This system receives documents via the user's terminal, processes the information on a server, and utilizes artificial intelligence to appropriately organize the document's structure and design. Furthermore, an avatar-type AI performs a final check and provides feedback. This improves the consistency and readability of the documents, reducing the burden of revision work for the user. 【0035】 First, the user uploads the document to the server using their device. Upon receiving the document, the server immediately runs a program to analyze its contents. In this analysis phase, the text of the document is analyzed using natural language processing techniques to extract important keywords and context. Furthermore, the placement of images and graphs, as well as font usage, are also evaluated. Once the analysis is complete, the personal assistant AI generates suggestions. These suggestions include specific advice such as "you should unify the font size" or "you should change the order of the sections." 【0036】 Next, the server automatically formats the document. Based on suggestions from artificial intelligence, it optimizes the document's sections and improves consistency in fonts and layout. This is designed to more effectively convey the information intended by the user. 【0037】 Afterward, the formatted document moves to a final check stage by an avatar-type artificial intelligence. The AI ​​avatar evaluates the overall readability and consistency of the document and determines whether further improvements are needed. If corrections are needed at this stage, specific feedback is provided. The user can refer to this feedback and make final adjustments. 【0038】 For example, when a user creates a project proposal, uploading the initial draft will point out inconsistencies in fonts and sectioning, which are then improved by an automatic formatting function. Finally, an AI avatar evaluates the smoothness of the structure and visual clarity, and suggests necessary improvements. Throughout this entire process, the present invention reduces the user's workload and supports the efficient creation of high-quality documents. 【0039】 The following describes the processing flow. 【0040】 Step 1: 【0041】 The user uploads the created document files to the server using their device. The device then prepares to initiate the analysis process by sending the selected documents to the server. 【0042】 Step 2: 【0043】 The server opens the received document and analyzes its contents. The server uses natural language processing techniques to analyze the context of the text in the document, extracting important keywords and section structures. It also analyzes the placement of images and graphs within the document and compares them to standard layouts. 【0044】 Step 3: 【0045】 A personal assistant AI on the server generates suggestions for improving the document based on the analysis results. Specifically, these suggestions include unifying fonts, optimizing the order of sections, and rearranging images. These suggestions form the basis for formatting the document. 【0046】 Step 4: 【0047】 The server automatically formats the document based on AI-generated suggestions. Sections are rearranged, font sizes are standardized, and image placement is adjusted to transform the document into a consistent structure. 【0048】 Step 5: 【0049】 The formatted documents undergo a final check by an avatar-type artificial intelligence on the server. The AI ​​avatar evaluates the readability of the entire document and performs a final check for consistency and formatting in accordance with standard specifications. 【0050】 Step 6: 【0051】 The server generates feedback using an AI avatar, organizes the necessary improvements, and sends them to the user's device. The device then displays the feedback and improved materials to the user, allowing them to make final corrections. 【0052】 (Example 1) 【0053】 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." 【0054】 In document creation, it is crucial to effectively convey information while maintaining consistency in document structure and design. However, manual document creation is time-consuming and prone to inconsistencies in readability and design. Therefore, there is a need for automated systems that support the efficient and high-quality creation of documents. 【0055】 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. 【0056】 In this invention, the server includes an information processing device that receives information and analyzes its contents using natural language processing technology, an artificial intelligence device that optimizes the structure of the document and unifies its visual elements based on the analyzed content, and a device that performs a final evaluation of the formatted document using an avatar-type artificial intelligence and provides feedback to the user. This enables efficient improvement of the consistency and readability of the document, reduces the user's workload, and allows for the creation of high-quality documents. 【0057】 An "information processing device" is a combination of hardware and software for analyzing received data, and in particular, a device that analyzes text data using natural language processing technology. 【0058】 "Natural language processing technology" refers to the technology of understanding, interpreting, and generating human language using computers, and primarily includes processes for extracting text context and keywords. 【0059】 "Artificial intelligence" refers to technology that imitates human intelligent behavior through machine learning and data analysis, enabling it to autonomously perform specific tasks. 【0060】 "Avatar-type artificial intelligence" refers to artificial intelligence that interacts with users through an interface modeled after a human character, providing information and support. 【0061】 "Feedback" refers to information and instructions provided by a system based on evaluation and analysis results, intended to encourage improvements and adjustments by the user. 【0062】 "Optimization" refers to the process of adjusting and improving data and processes to best suit given conditions and objectives. 【0063】 "Visual elements" refer to elements that appeal to the eye, such as graphics, layout, fonts, and colors within documents and information. By unifying these elements, a consistent design is provided. 【0064】 The system in this invention is initiated when a user prepares materials via a terminal and uploads those materials to a server. The terminal used by the user is a regular computer or smart device, and it is possible to access the server using an internet browser. 【0065】 When the server receives uploaded materials, it uses an information processing device to analyze their contents. This analysis utilizes natural language processing technologies such as Python's NLTK library and spacy. This allows the server to analyze the text within the materials and extract important keywords and context. Furthermore, algorithms are used to evaluate the placement of images and graphs, as well as the consistency of font styles. 【0066】 Next, artificial intelligence on the server optimizes the document's structure and unifies its visual elements based on the analysis results. This is done using a document processing library (e.g., Apache® PDFBox for documents), which automatically adjusts section order, font size, and other elements. 【0067】 Furthermore, the formatted documents undergo a final check by an avatar-type artificial intelligence. The AI ​​avatar evaluates the readability and consistency of the documents and provides feedback to the user. This feedback indicates areas for further improvement, which the user can use for final adjustments. 【0068】 As a concrete example, consider a scenario where a user uploads a document for a new business proposal. In the initial analysis phase, the server identifies issues such as inconsistent fonts and poorly aligned sections within the document. The generated advice includes specific instructions such as "unify all headings to font size 14" and "place section 1 after section 3." After the document is automatically formatted and improved, an AI avatar evaluates its structure and visual clarity, and final feedback is provided to the user. 【0069】 An example of a prompt would be: "I have created a business plan. Please check if the font size and layout of the document are consistent, and provide suggestions for improving consistency. Also, please provide feedback on the overall readability of the structure." 【0070】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0071】 Step 1: 【0072】 Users upload documents they create using their terminals to the server. These documents are in digital formats such as Word documents or PDFs. The server receives an HTTP request and saves the document file to its storage device. The input is the user's document, and the output is the data file stored on the server. 【0073】 Step 2: 【0074】 The server activates an information processing device to analyze the stored data. Using natural language processing techniques, it analyzes the text to extract context and important keywords. The placement of images and graphs, as well as font type and size, are also evaluated using algorithms. The input is the stored data, and the output is a list of analyzed keywords and design elements. 【0075】 Step 3: 【0076】 The server uses artificial intelligence to optimize the document's structure based on the analysis results. Specifically, the AI ​​performs tasks such as unifying font sizes and rearranging section order. It also directly edits the document's content using a document processing library. The input is a list of analysis results, and the output is the optimized document data. 【0077】 Step 4: 【0078】 The formatted documents proceed to a final check by an avatar-type AI on the server. The AI ​​avatar evaluates the entire document, checking for readability and consistency. Based on the results, feedback is generated for the user. The input is optimized document data, and the output is feedback information. 【0079】 Step 5: 【0080】 Users use their devices to receive feedback from the server and make final adjustments to their materials based on it. The feedback includes specific suggestions for improvement and points to note, which users use to revise their materials. The input is the feedback from the server, and the output is the revised, final version of the material. 【0081】 (Application Example 1) 【0082】 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." 【0083】 In document creation, users often face the challenge of efficiently producing high-quality documents while maintaining consistency in structure and design. This is especially true for home users, many of whom lack specialized knowledge or design skills, making it difficult to prepare presentation materials or speeches within limited timeframes. Furthermore, the lack of immediate visual and auditory feedback places a significant burden on final document adjustments. 【0084】 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. 【0085】 In this invention, the server includes an information processing device means for receiving data and analyzing its contents, an artificial intelligence means for automatically formatting the structure and design of the data based on the analyzed contents, and an avatar-type artificial intelligence means for performing a final check of the formatted data and providing feedback. This allows users to easily obtain visual and auditory feedback even at home, enabling them to create high-quality data in a short amount of time. 【0086】 "Documents" refer to documents and digital content containing information created by users, including presentation materials and speech scripts. 【0087】 An "information processing device" is a computer system that analyzes the content of received materials and performs data processing related to the structure and design of those materials. 【0088】 "Artificial intelligence" is a technology that automatically formats the structure and design of documents based on analyzed data, supporting the efficient and high-quality creation of documents. 【0089】 An "avatar-type artificial intelligence" is an AI system that provides visual or auditory feedback and performs a final check on formatted materials. 【0090】 "Consumer electronic devices" refer to electronic devices such as robots intended for use by users within their homes, and are devices that provide document creation support and feedback. 【0091】 This invention provides a system that supports document formatting and feedback through the collaboration of a user-operated consumer device with a server. First, the user uploads the document as digital data to the server using a terminal. This document includes presentations, speeches, and other similar materials. 【0092】 The server uses an information processing device to analyze the content of the received documents. Specifically, it utilizes natural language processing techniques for text processing, extracting keywords and analyzing context. It also evaluates visual elements of the documents, such as fonts and layout. NLP libraries such as SpaCy and NLTK may be used for this processing. 【0093】 Once the analysis is complete, the artificial intelligence automatically formats the structure and design of the document. Based on the suggestions, it ensures consistency in sections and font sizes, and adjusts the document for overall readability. The formatted document is then given a final check by an avatar-type artificial intelligence. 【0094】 Consumer electronics evaluate formatted materials visually and aurally, providing users with visual and audio feedback. This feedback is made possible by using Google's Text-to-Speech API. 【0095】 As a concrete example, when a user creates an online presentation at home, they upload their materials to a server. They then receive formatting suggestions from AI, and finally, voice feedback indicates areas for improvement. This system helps users create high-quality materials in a short amount of time. 【0096】 An example of a prompt message would be: "Extract key keywords and context from the given material, and ensure consistency in the font and layout of the material. Then, perform a final check on the formatted material and specifically point out areas that need improvement." This allows the server to efficiently format and evaluate the material. 【0097】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0098】 Step 1: 【0099】 The user uploads documents as digital data to the server using their device. In this process, the user's device prepares the document data as input and performs network communication to transfer it to the server. The document format can be a standard text file or presentation file. 【0100】 Step 2: 【0101】 The server receives uploaded materials and analyzes their content using an information processing device. It receives the material data as input, extracts keywords using natural language processing techniques, and analyzes the context. NLP libraries such as SpaCy and NLTK are used for this process. The output includes a list of important keywords and context-related information contained in the material. 【0102】 Step 3: 【0103】 The server uses artificial intelligence to restructure and design the document based on the analysis results. In this step, it receives the analysis results as input and adjusts the font size and optimizes the order of sections. The output is the restructured document data. The document is then reorganized and given a consistent look based on the optimization ideas suggested by the artificial intelligence. 【0104】 Step 4: 【0105】 The formatted documents undergo a final check by an avatar-type artificial intelligence on a server. The system receives the formatted document data as input and verifies readability and consistency. Feedback is output as specific suggestions for areas requiring improvement. 【0106】 Step 5: 【0107】 Consumer electronics devices acquire formatted data and provide users with visual and audio information based on feedback from a server. The system receives the final formatted data and feedback as input, displaying visual information on the screen and outputting audio through the speaker. Google's Text-to-Speech API is used to generate audio feedback. The output consists of improvement suggestions and confirmation information presented to the user. 【0108】 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. 【0109】 This invention is a system that combines an information processing device that receives, analyzes, and formats user-created materials with an emotion engine that recognizes the user's emotions. This system provides flexible material formatting according to the user's requests, while simultaneously supporting more effective material creation by providing optimized feedback based on the user's emotions. 【0110】 First, the user uploads their materials to the server via their device. Upon receiving the materials, the server automatically begins analysis. The content of the materials is analyzed in detail using natural language processing technology, and important information is extracted. Based on this information, including the placement of graphs and images, and font usage, suggestions are generated to optimize the structure of the materials. 【0111】 Next, the system leverages the emotion engine's ability to recognize user emotions in real time. Using facial recognition technology and voice analysis, it determines the user's emotional state while creating documents. For example, if a user is feeling stressed, the system can automatically suggest changes to color schemes or layouts to alleviate their tension. 【0112】 Furthermore, once the document formatting is complete, an avatar-type artificial intelligence performs a final check. The avatar evaluates the overall consistency and readability of the document and provides the most helpful feedback for the user. User sentiment data is also taken into consideration; for example, if the user is satisfied, only minor improvements will be suggested, while if dissatisfaction is expressed, more detailed feedback will be provided. 【0113】 As a concrete example, consider a scenario where a user is creating a presentation document. Upon uploading the initial draft, the system optimizes the logical structure and, if the emotion engine detects the user's level of tension, suggests calming color schemes and simple layouts. Finally, an AI avatar provides the user with feedback, including praise and encouragement in a light tone, improving the document creation experience. Through this series of operations, the present invention realizes a flexible and high-quality document creation environment tailored to the user's needs. 【0114】 The following describes the processing flow. 【0115】 Step 1: 【0116】 The user uploads the created document file to the server using their device. The device then selects the document file and sends it to the server, prompting the system to begin analysis. 【0117】 Step 2: 【0118】 The server receives the uploaded materials and prepares to analyze their content. The server analyzes the text within the materials using natural language processing techniques to extract important keywords and contextual structures. It also checks the placement of graphs and images, the use of font styles, and evaluates the overall consistency of the materials. 【0119】 Step 3: 【0120】 The server generates suggestions based on the analysis results. The personal assistant AI creates specific suggestions to automatically organize the structure and layout of the document (e.g., optimizing font consistency, changing the order of sections). 【0121】 Step 4: 【0122】 With the user's permission, the device uses its camera and microphone to analyze the user's emotional state using an emotion engine. The device then uses an emotion recognition algorithm to determine the user's emotions from their facial expressions and vocal intonation. This result is sent to a server and incorporated into the document formatting process. 【0123】 Step 5: 【0124】 The server automatically formats the document based on suggestions, taking emotional data into consideration. For example, if the user is feeling stressed, it will apply calming color schemes and a simple layout, customizing the document according to their emotions. 【0125】 Step 6: 【0126】 The formatted documents undergo a final check by an avatar-type artificial intelligence on a server. The avatar evaluates the readability, consistency, and overall completeness of the documents and generates appropriate feedback. 【0127】 Step 7: 【0128】 The server sends the final feedback and formatted document to the user's device. The device displays the feedback to the user and provides options for using the improved document. The user can then make final adjustments to the document based on this feedback. 【0129】 (Example 2) 【0130】 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." 【0131】 During the document creation process, users often struggle with organizing information and optimizing visual design. Furthermore, improving the quality of documents requires feedback and improvement suggestions that take into account the user's emotional state. However, conventional systems struggle to comprehensively consider these factors when formatting documents, often resulting in inconsistent quality output. 【0132】 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. 【0133】 In this invention, the server includes data processing means for receiving and analyzing the content of materials, intelligent processing means for automatically optimizing the logical structure and design of the materials based on the analyzed content, and emotion recognition means for recognizing the user's emotional state in real time through a terminal and reflecting it in the suggested formatting of the materials. This simplifies the user's material creation process and makes it possible to provide high-quality materials that take emotions into consideration. 【0134】 "Materials" refers to a collection of information created or collected by a user for a specific purpose. 【0135】 "Analysis" refers to the process of examining information within a document in detail and extracting useful data and insights. 【0136】 "Data processing means" refers to a device or program used to analyze the content of a document and organize the necessary information. 【0137】 "Intelligent processing means" refers to a device or program that uses artificial intelligence technology to automatically optimize or suggest the design and logical structure of a document. 【0138】 "Emotion recognition means" refers to a device or program that detects the user's emotional state from their facial expressions and voice, and reflects that information in the formatting of the document. 【0139】 An "avatar-type intelligent processing system" refers to an artificial intelligence system that provides feedback to the user through a virtual character. 【0140】 An "information processing system" refers to a device or group of devices that integrates and manages a series of processes including data input, analysis, and output. 【0141】 This system aims to automate data analysis and formatting during the user's document creation process, and further provide feedback tailored to the user's emotional state. The system primarily functions through server, terminal, and user interaction. 【0142】 First, the user uses their device to upload the created document to the server in a file format (text file, slide file, image file, etc.). The device provides a special interface for this purpose. The user can easily send the document to the server by selecting the file on this interface and clicking the upload button. 【0143】 The server analyzes the uploaded documents. This process primarily utilizes natural language processing techniques, with tools such as Python's NLTK library and spaCy proving effective. This technology extracts important information from the document's text and analyzes its structure. It also performs detailed analysis of the placement of graphs and images within the document. 【0144】 Once the analysis of the document is complete, the server's intelligent processing system generates suggestions to optimize the document based on its content. The intelligent processing system generates multiple configuration options through a template engine and shows previews of them to the user. During this process, the logical structure and design incorporated into the document are optimized. 【0145】 Furthermore, the server recognizes the user's emotions through the terminal. Here, the terminal's camera and microphone are used to determine the user's emotional state from their facial expressions and tone of voice. This function is implemented using OpenCV and other speech analysis APIs. For example, if the user is feeling anxious, the system will suggest calming colors and a simple layout. 【0146】 Once the document formatting is complete, the server uses an avatar-based intelligent processing system to perform a final evaluation and provide feedback. The avatar checks the consistency and readability of the document and generates helpful feedback for the user. This process also takes into account the user's sentiment data, including appropriate praise and suggestions for improvement. 【0147】 As a concrete example, the following is an example of a prompt message used when a user creates presentation materials. By inputting the instruction "Optimize the presentation materials and suggest a layout that reduces user stress" into the generating AI model, it is possible to achieve more optimal material formatting and improve the user experience. 【0148】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0149】 Step 1: The user uploads a document file created using their terminal to the server. The input is the document file created by the user, which includes text, graphs, and images. The output is a message indicating that the document file has been successfully transferred to the server. Specifically, the user opens a dedicated interface, selects the document file, and clicks the "Upload" button. This action sends the document to the server. 【0150】 Step 2: The server receives the uploaded materials and performs analysis using natural language processing techniques. The input is the material file uploaded by the user, which is the subject of analysis. The output is important keywords and phrases extracted from the text of the material, as well as the analyzed layout information. The server uses Python's NLTK library or spaCy to tokenize the content of the material and then extract nouns and verbs. 【0151】 Step 3: The server generates an optimized document structure proposal based on the analyzed information. The input is the analysis results obtained in Step 2, and the output is the optimized document structure proposal. Specifically, the server uses a template engine to generate proposals for different styles. It then generates an HTML file to provide the user with a preview of the optimized structure. 【0152】 Step 4: The server uses emotion recognition means to identify the user's emotional state through the terminal. The input is image and audio data acquired by the terminal's camera and microphone, and the output is the user's emotional state data (e.g., stress, relief, etc.). The server uses OpenCV or a speech analysis API to analyze the user's facial muscle movements and voice tone. 【0153】 Step 5: The server suggests document formatting based on the user's emotional state. The input is the emotional state data obtained in Step 4, and the output is a customized document formatting suggestion. Specifically, the server automatically generates and presents suggestions to the user, such as adjusting the hue or simplifying the layout. 【0154】 Step 6: The server uses an avatar-type intelligent processing device to perform a final check of the formatted document. The input is the document reflecting the formatting suggestions from Step 5, and the output is the final feedback and areas for improvement. The server evaluates the consistency and readability of the document and performs specific actions to provide feedback to the user through the avatar. 【0155】 (Application Example 2) 【0156】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0157】 In document creation, users often struggle to achieve an optimal structure that reflects their emotional state, and there is a lack of appropriate feedback to improve the consistency and readability of the documents. In particular, the quality of documents may decline when users are experiencing stress or anxiety. Furthermore, traditional systems cannot provide automated support tailored to emotions, hindering effective document creation assistance. 【0158】 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. 【0159】 In this invention, the server includes an information processing device means for receiving data and analyzing its contents; an artificial intelligence means for automatically formatting the structure and design of the data based on the analyzed contents; an avatar-type artificial intelligence means for performing a final check of the formatted data and providing feedback; an emotion recognition device means for recognizing the user's emotions and optimizing the data design according to those emotions; and an information processing device means for controlling relaxing music and lighting based on the user's emotional state. This makes it possible to create optimal data according to the user's emotions and provide emotionally appropriate feedback. 【0160】 An "information processing device" is a device that analyzes the content of input data and uses that data to reshape the structure and design. 【0161】 Artificial intelligence is a technology that has the ability to automatically generate information based on input data and perform specific tasks. 【0162】 An "avatar-type artificial intelligence" is an artificial intelligence that communicates interactively with users, evaluates the quality of materials, and provides appropriate feedback. 【0163】 An "emotion recognition device" is a device that uses technology to analyze a user's facial expressions and voice and identify their emotions in real time. 【0164】 "Control of music and lighting based on information processing equipment" refers to a process that appropriately selects music and lighting according to the user's emotional state and controls them to improve the user's psychological state. 【0165】 The system to realize this application consists of an information processing device that receives and analyzes the contents of a document, artificial intelligence that formats the structure and design of the document, an avatar-type artificial intelligence that performs a final check of the formatted document and provides feedback, an emotion recognition device that recognizes the user's emotions and optimizes the design of the document according to those emotions, and an information processing device that controls music and lighting based on the user's emotional state. 【0166】 The server performs real-time emotion analysis by running an emotion recognition model using Python and TENSORFLOW®. Specifically, it processes image data acquired from a camera device using OpenCV, analyzes facial expressions, and identifies emotions. Audio data is also sent to the server via a microphone, and speech recognition technology is used to determine emotional states such as stress and tension. 【0167】 Natural language processing techniques are used to optimize the materials, analyzing the grammar and logical structure of text data using SpaCy and BERT models. Based on the analysis results, appropriate structure and design suggestions are automatically generated, and an avatar-type artificial intelligence provides final feedback. 【0168】 For example, if a user is preparing presentation materials at home, once the user uploads the materials to the server, the server immediately begins analyzing them. If the emotion recognition device detects that the user is feeling anxious, it may suggest changing the colors of the materials to calmer tones or play relaxing music. 【0169】 As an example of a prompt for a generative AI model, text such as, "I'm thinking of an application that formats presentation materials and suggests emotion-based feedback. What improvements do the materials need?" is used. This prompt functions as input to the generative AI model, and it is possible to obtain output results that improve the user experience. 【0170】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0171】 Step 1: 【0172】 The user uploads materials to the server using their device. The input at this stage consists of presentation materials created by the user, which will be the subject of subsequent analysis and optimization. These materials include both text data and graphics. 【0173】 Step 2: 【0174】 The server analyzes the uploaded data. First, it uses natural language processing techniques to analyze the structure of the text data, examining its grammar and logical flow. It then uses SpaCy and BERT models to extract important information and generate logical suggestions. The output includes the analyzed data and suggestions for optimizing its structure. 【0175】 Step 3: 【0176】 The server's emotion recognition system analyzes the user's emotional state using input from the terminal's camera and microphone. Image data from the camera is processed using OpenCV to recognize the user's facial expressions. Audio data is analyzed using speech recognition technology to identify the emotional state from the tone of voice. The output is metadata indicating the user's emotional state. 【0177】 Step 4: 【0178】 The server transforms the structural suggestions of the analyzed material into layout and color scheme suggestions optimized based on the user's emotional state. If tension is detected, calm colors and a simple layout are selected. This process is fed back to the generative AI model as prompts to obtain the optimal output. 【0179】 Step 5: 【0180】 Based on the initial proposal, the server uses an avatar-based artificial intelligence to perform a final check on the consistency and readability of the document. The input here is the updated draft document based on emotion recognition, and the output is detailed feedback comments and suggested adjustments as needed. 【0181】 Step 6: 【0182】 The user is presented with final feedback and the completed version of the materials. The device also offers suggestions for music and lighting, which the user can choose as they prepare to view the materials. This creates a comfortable environment. 【0183】 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. 【0184】 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. 【0185】 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. 【0186】 [Second Embodiment] 【0187】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0188】 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. 【0189】 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). 【0190】 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. 【0191】 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. 【0192】 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). 【0193】 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. 【0194】 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. 【0195】 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. 【0196】 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. 【0197】 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. 【0198】 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". 【0199】 This invention is a system for efficiently and effectively organizing user-created documents to a high standard. This system receives documents via the user's terminal, processes the information on a server, and utilizes artificial intelligence to appropriately organize the document's structure and design. Furthermore, an avatar-type AI performs a final check and provides feedback. This improves the consistency and readability of the documents, reducing the burden of revision work for the user. 【0200】 First, the user uploads the document to the server using their device. Upon receiving the document, the server immediately runs a program to analyze its contents. In this analysis phase, the text of the document is analyzed using natural language processing techniques to extract important keywords and context. Furthermore, the placement of images and graphs, as well as font usage, are also evaluated. Once the analysis is complete, the personal assistant AI generates suggestions. These suggestions include specific advice such as "you should unify the font size" or "you should change the order of the sections." 【0201】 Next, the server automatically formats the document. Based on suggestions from artificial intelligence, it optimizes the document's sections and improves consistency in fonts and layout. This is designed to more effectively convey the information intended by the user. 【0202】 Afterward, the formatted document moves to a final check stage by an avatar-type artificial intelligence. The AI ​​avatar evaluates the overall readability and consistency of the document and determines whether further improvements are needed. If corrections are needed at this stage, specific feedback is provided. The user can refer to this feedback and make final adjustments. 【0203】 For example, when a user creates a project proposal, uploading the initial draft will point out inconsistencies in fonts and sectioning, which are then improved by an automatic formatting function. Finally, an AI avatar evaluates the smoothness of the structure and visual clarity, and suggests necessary improvements. Throughout this entire process, the present invention reduces the user's workload and supports the efficient creation of high-quality documents. 【0204】 The following describes the processing flow. 【0205】 Step 1: 【0206】 The user uploads the created document files to the server using their device. The device then prepares to initiate the analysis process by sending the selected documents to the server. 【0207】 Step 2: 【0208】 The server opens the received document and analyzes its contents. The server uses natural language processing techniques to analyze the context of the text in the document, extracting important keywords and section structures. It also analyzes the placement of images and graphs within the document and compares them to standard layouts. 【0209】 Step 3: 【0210】 A personal assistant AI on the server generates suggestions for improving the document based on the analysis results. Specifically, these suggestions include unifying fonts, optimizing the order of sections, and rearranging images. These suggestions form the basis for formatting the document. 【0211】 Step 4: 【0212】 The server automatically formats the document based on AI-generated suggestions. Sections are rearranged, font sizes are standardized, and image placement is adjusted to transform the document into a consistent structure. 【0213】 Step 5: 【0214】 The formatted documents undergo a final check by an avatar-type artificial intelligence on the server. The AI ​​avatar evaluates the readability of the entire document and performs a final check for consistency and formatting in accordance with standard specifications. 【0215】 Step 6: 【0216】 The server generates feedback using an AI avatar, organizes the necessary improvements, and sends them to the user's device. The device then displays the feedback and improved materials to the user, allowing them to make final corrections. 【0217】 (Example 1) 【0218】 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." 【0219】 In document creation, it is crucial to effectively convey information while maintaining consistency in document structure and design. However, manual document creation is time-consuming and prone to inconsistencies in readability and design. Therefore, there is a need for automated systems that support the efficient and high-quality creation of documents. 【0220】 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. 【0221】 In this invention, the server includes an information processing device that receives information and analyzes its contents using natural language processing technology, an artificial intelligence device that optimizes the structure of the document and unifies its visual elements based on the analyzed content, and a device that performs a final evaluation of the formatted document using an avatar-type artificial intelligence and provides feedback to the user. This enables efficient improvement of the consistency and readability of the document, reduces the user's workload, and allows for the creation of high-quality documents. 【0222】 An "information processing device" is a combination of hardware and software for analyzing received data, and in particular, a device that analyzes text data using natural language processing technology. 【0223】 "Natural language processing technology" refers to the technology of understanding, interpreting, and generating human language using computers, and primarily includes processes for extracting text context and keywords. 【0224】 "Artificial intelligence" refers to technology that imitates human intelligent behavior through machine learning and data analysis, enabling it to autonomously perform specific tasks. 【0225】 "Avatar-type artificial intelligence" refers to artificial intelligence that interacts with users through an interface modeled after a human character, providing information and support. 【0226】 "Feedback" refers to information and instructions provided by a system based on evaluation and analysis results, intended to encourage improvements and adjustments by the user. 【0227】 "Optimization" refers to the process of adjusting and improving data and processes to best suit given conditions and objectives. 【0228】 "Visual elements" refer to elements that appeal to the eye, such as graphics, layout, fonts, and colors within documents and information. By unifying these elements, a consistent design is provided. 【0229】 The system in this invention is initiated when a user prepares materials via a terminal and uploads those materials to a server. The terminal used by the user is a regular computer or smart device, and it is possible to access the server using an internet browser. 【0230】 When the server receives uploaded materials, it uses an information processing device to analyze their contents. This analysis utilizes natural language processing technologies such as Python's NLTK library and spacy. This allows the server to analyze the text within the materials and extract important keywords and context. Furthermore, algorithms are used to evaluate the placement of images and graphs, as well as the consistency of font styles. 【0231】 Next, artificial intelligence on the server optimizes the document's structure and unifies its visual elements based on the analysis results. This is done using a document processing library (e.g., Apache PDFBox for documents), which automatically adjusts section order, font size, and other elements. 【0232】 Furthermore, the formatted documents undergo a final check by an avatar-type artificial intelligence. The AI ​​avatar evaluates the readability and consistency of the documents and provides feedback to the user. This feedback indicates areas for further improvement, which the user can use for final adjustments. 【0233】 As a concrete example, consider a scenario where a user uploads a document for a new business proposal. In the initial analysis phase, the server identifies issues such as inconsistent fonts and poorly aligned sections within the document. The generated advice includes specific instructions such as "unify all headings to font size 14" and "place section 1 after section 3." After the document is automatically formatted and improved, an AI avatar evaluates its structure and visual clarity, and final feedback is provided to the user. 【0234】 An example of a prompt would be: "I have created a business plan. Please check if the font size and layout of the document are consistent, and provide suggestions for improving consistency. Also, please provide feedback on the overall readability of the structure." 【0235】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0236】 Step 1: 【0237】 Users upload documents they create using their terminals to the server. These documents are in digital formats such as Word documents or PDFs. The server receives an HTTP request and saves the document file to its storage device. The input is the user's document, and the output is the data file stored on the server. 【0238】 Step 2: 【0239】 The server activates an information processing device to analyze the stored data. Using natural language processing techniques, it analyzes the text to extract context and important keywords. The placement of images and graphs, as well as font type and size, are also evaluated using algorithms. The input is the stored data, and the output is a list of analyzed keywords and design elements. 【0240】 Step 3: 【0241】 The server uses artificial intelligence to optimize the document's structure based on the analysis results. Specifically, the AI ​​performs tasks such as unifying font sizes and rearranging section order. It also directly edits the document's content using a document processing library. The input is a list of analysis results, and the output is the optimized document data. 【0242】 Step 4: 【0243】 The formatted documents proceed to a final check by an avatar-type AI on the server. The AI ​​avatar evaluates the entire document, checking for readability and consistency. Based on the results, feedback is generated for the user. The input is optimized document data, and the output is feedback information. 【0244】 Step 5: 【0245】 Users use their devices to receive feedback from the server and make final adjustments to their materials based on it. The feedback includes specific suggestions for improvement and points to note, which users use to revise their materials. The input is the feedback from the server, and the output is the revised, final version of the material. 【0246】 (Application Example 1) 【0247】 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." 【0248】 In document creation, users often face the challenge of efficiently producing high-quality documents while maintaining consistency in structure and design. This is especially true for home users, many of whom lack specialized knowledge or design skills, making it difficult to prepare presentation materials or speeches within limited timeframes. Furthermore, the lack of immediate visual and auditory feedback places a significant burden on final document adjustments. 【0249】 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. 【0250】 In this invention, the server includes an information processing device means for receiving data and analyzing its contents, an artificial intelligence means for automatically formatting the structure and design of the data based on the analyzed contents, and an avatar-type artificial intelligence means for performing a final check of the formatted data and providing feedback. This allows users to easily obtain visual and auditory feedback even at home, enabling them to create high-quality data in a short amount of time. 【0251】 "Documents" refer to documents and digital content containing information created by users, including presentation materials and speech scripts. 【0252】 An "information processing device" is a computer system that analyzes the content of received materials and performs data processing related to the structure and design of those materials. 【0253】 "Artificial intelligence" is a technology that automatically formats the structure and design of documents based on analyzed data, supporting the efficient and high-quality creation of documents. 【0254】 An "avatar-type artificial intelligence" is an AI system that provides visual or auditory feedback and performs a final check on formatted materials. 【0255】 "Consumer electronic devices" refer to electronic devices such as robots intended for use by users within their homes, and are devices that provide document creation support and feedback. 【0256】 This invention provides a system that supports document formatting and feedback through the collaboration of a user-operated consumer device with a server. First, the user uploads the document as digital data to the server using a terminal. This document includes presentations, speeches, and other similar materials. 【0257】 The server uses an information processing device to analyze the content of the received documents. Specifically, it utilizes natural language processing techniques for text processing, extracting keywords and analyzing context. It also evaluates visual elements of the documents, such as fonts and layout. NLP libraries such as SpaCy and NLTK may be used for this processing. 【0258】 Once the analysis is complete, the artificial intelligence automatically formats the structure and design of the document. Based on the suggestions, it ensures consistency in sections and font sizes, and adjusts the document for overall readability. The formatted document is then given a final check by an avatar-type artificial intelligence. 【0259】 Consumer electronics evaluate formatted materials visually and aurally, providing users with visual and audio feedback. This feedback is made possible by using Google's Text-to-Speech API to enable audio output. 【0260】 As a concrete example, when a user creates an online presentation at home, they upload their materials to a server. They then receive formatting suggestions from AI, and finally, voice feedback indicates areas for improvement. This system helps users create high-quality materials in a short amount of time. 【0261】 An example of a prompt message would be: "Extract key keywords and context from the given material, and ensure consistency in the font and layout of the material. Then, perform a final check on the formatted material and specifically point out areas that need improvement." This allows the server to efficiently format and evaluate the material. 【0262】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0263】 Step 1: 【0264】 The user uploads documents as digital data to the server using their device. In this process, the user's device prepares the document data as input and performs network communication to transfer it to the server. The document format can be a standard text file or presentation file. 【0265】 Step 2: 【0266】 The server receives uploaded materials and analyzes their content using an information processing device. It receives the material data as input, extracts keywords using natural language processing techniques, and analyzes the context. NLP libraries such as SpaCy and NLTK are used for this process. The output includes a list of important keywords and context-related information contained in the material. 【0267】 Step 3: 【0268】 The server uses artificial intelligence to restructure and design the document based on the analysis results. In this step, it receives the analysis results as input and adjusts the font size and optimizes the order of sections. The output is the restructured document data. The document is then reorganized and given a consistent look based on the optimization ideas suggested by the artificial intelligence. 【0269】 Step 4: 【0270】 The formatted documents undergo a final check by an avatar-type artificial intelligence on a server. The system receives the formatted document data as input and verifies readability and consistency. Feedback is output as specific suggestions for areas requiring improvement. 【0271】 Step 5: 【0272】 Consumer electronics devices acquire formatted data and provide users with visual and audio information based on feedback from a server. The system receives the final formatted data and feedback as input, displaying visual information on the screen and outputting audio through the speaker. Google's Text-to-Speech API is used to generate audio feedback. The output consists of improvement suggestions and confirmation information presented to the user. 【0273】 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. 【0274】 This invention is a system that combines an information processing device that receives, analyzes, and formats user-created materials with an emotion engine that recognizes the user's emotions. This system provides flexible material formatting according to the user's requests, while simultaneously supporting more effective material creation by providing optimized feedback based on the user's emotions. 【0275】 First, the user uploads their materials to the server via their device. Upon receiving the materials, the server automatically begins analysis. The content of the materials is analyzed in detail using natural language processing technology, and important information is extracted. Based on this information, including the placement of graphs and images, and font usage, suggestions are generated to optimize the structure of the materials. 【0276】 Next, the system leverages the emotion engine's ability to recognize user emotions in real time. Using facial recognition technology and voice analysis, it determines the user's emotional state while creating documents. For example, if a user is feeling stressed, the system can automatically suggest changes to color schemes or layouts to alleviate their tension. 【0277】 Furthermore, once the document formatting is complete, an avatar-type artificial intelligence performs a final check. The avatar evaluates the overall consistency and readability of the document and provides the most helpful feedback for the user. User sentiment data is also taken into consideration; for example, if the user is satisfied, only minor improvements will be suggested, while if dissatisfaction is expressed, more detailed feedback will be provided. 【0278】 As a concrete example, consider a scenario where a user is creating a presentation document. Upon uploading the initial draft, the system optimizes the logical structure and, if the emotion engine detects the user's level of tension, suggests calming color schemes and simple layouts. Finally, an AI avatar provides the user with feedback, including praise and encouragement in a light tone, improving the document creation experience. Through this series of operations, the present invention realizes a flexible and high-quality document creation environment tailored to the user's needs. 【0279】 The following describes the processing flow. 【0280】 Step 1: 【0281】 The user uploads the created document file to the server using their device. The device then selects the document file and sends it to the server, prompting the system to begin analysis. 【0282】 Step 2: 【0283】 The server receives the uploaded materials and prepares to analyze the content. The server analyzes the text in the materials using natural language processing technology to extract important keywords and context structures. It also checks the layout of graphs and images and the use of font styles to evaluate the consistency of the entire material. 【0284】 Step 3: 【0285】 Based on the analysis results, the server generates proposals. The personal assistant AI creates specific proposals (e.g., optimizing font consistency, changing the order of sections) for automatically arranging the composition and layout of the materials. 【0286】 Step 4: 【0287】 With the user's permission, the terminal uses the camera and microphone of the terminal to analyze the user's emotional state with an emotion engine. The terminal uses an emotion recognition algorithm to judge the emotion from the user's expression and vocal intonation. This result is sent to the server and reflected in the material formatting process. 【0288】 Step 5: 【0289】 The server automatically formats the materials based on the proposals considering the emotion data. For example, when the user is nervous, customizations according to the emotion are made, such as applying a gentle color scheme and a simple layout. 【0290】 Step 6: 【0291】 The formatted materials are finally checked by an avatar-type artificial intelligence on the server. The avatar evaluates the readability, consistency, and overall completion of the materials and generates appropriate feedback. 【0292】 Step 7: 【0293】 The server sends the final feedback and formatted document to the user's device. The device displays the feedback to the user and provides options for using the improved document. The user can then make final adjustments to the document based on this feedback. 【0294】 (Example 2) 【0295】 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". 【0296】 During the document creation process, users often struggle with organizing information and optimizing visual design. Furthermore, improving the quality of documents requires feedback and improvement suggestions that take into account the user's emotional state. However, conventional systems struggle to comprehensively consider these factors when formatting documents, often resulting in inconsistent quality output. 【0297】 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. 【0298】 In this invention, the server includes data processing means for receiving and analyzing the content of materials, intelligent processing means for automatically optimizing the logical structure and design of the materials based on the analyzed content, and emotion recognition means for recognizing the user's emotional state in real time through a terminal and reflecting it in the suggested formatting of the materials. This simplifies the user's material creation process and makes it possible to provide high-quality materials that take emotions into consideration. 【0299】 "Materials" refers to a collection of information created or collected by a user for a specific purpose. 【0300】 "Analysis" refers to the process of examining information within a document in detail and extracting useful data and insights. 【0301】 "Data processing means" refers to a device or program used to analyze the content of materials and organize necessary information. 【0302】 "Intelligent processing means" refers to a device or program that automatically optimizes or proposes the design and logical structure of materials using artificial intelligence technology. 【0303】 "Emotion recognition means" refers to a device or program for detecting the emotional state from the user's expressions and voice and reflecting that information in document formatting. 【0304】 "Avatar-type intelligent processing means" refers to an artificial intelligence system that provides feedback to the user through a virtual character. 【0305】 "Information processing system" refers to a device or group of devices that integrally manage a series of processes including data input, analysis, and output. 【0306】 This system aims to automate data analysis and formatting in the process of the user creating materials and further provide feedback according to the user's emotional state. The system mainly functions through the interaction between the server, the terminal, and the user. 【0307】 First, the user uses the terminal to upload the created materials to the server in a file format (such as a text file, a slide file, an image file, etc.). The terminal provides a special interface for this purpose. The user can easily send the materials to the server by selecting a file with this interface and clicking the upload button. 【0308】 The server analyzes the uploaded materials. In this process, natural language processing technology is mainly used, and tools such as Python's NLTK library and spaCy are effective. With this technology, important information is extracted from the text of the materials, and the structure of the materials is analyzed. Also, detailed analysis is performed on the layout information of graphs and images in the materials. 【0309】 Once the analysis of the document is complete, the server's intelligent processing system generates suggestions to optimize the document based on its content. The intelligent processing system generates multiple configuration options through a template engine and shows previews of them to the user. During this process, the logical structure and design incorporated into the document are optimized. 【0310】 Furthermore, the server recognizes the user's emotions through the terminal. Here, the terminal's camera and microphone are used to determine the user's emotional state from their facial expressions and tone of voice. This function is implemented using OpenCV and other speech analysis APIs. For example, if the user is feeling anxious, the system will suggest calming colors and a simple layout. 【0311】 Once the document formatting is complete, the server uses an avatar-based intelligent processing system to perform a final evaluation and provide feedback. The avatar checks the consistency and readability of the document and generates helpful feedback for the user. This process also takes into account the user's sentiment data, including appropriate praise and suggestions for improvement. 【0312】 As a concrete example, the following is an example of a prompt message used when a user creates presentation materials. By inputting the instruction "Optimize the presentation materials and suggest a layout that reduces user stress" into the generating AI model, it is possible to achieve more optimal material formatting and improve the user experience. 【0313】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0314】 Step 1: The user uploads a document file created using their terminal to the server. The input is the document file created by the user, which includes text, graphs, and images. The output is a message indicating that the document file has been successfully transferred to the server. Specifically, the user opens a dedicated interface, selects the document file, and clicks the "Upload" button. This action sends the document to the server. 【0315】 Step 2: The server receives the uploaded materials and performs analysis using natural language processing techniques. The input is the material file uploaded by the user, which is the subject of analysis. The output is important keywords and phrases extracted from the text of the material, as well as the analyzed layout information. The server uses Python's NLTK library or spaCy to tokenize the content of the material and then extract nouns and verbs. 【0316】 Step 3: The server generates an optimized document structure proposal based on the analyzed information. The input is the analysis results obtained in Step 2, and the output is the optimized document structure proposal. Specifically, the server uses a template engine to generate proposals for different styles. It then generates an HTML file to provide the user with a preview of the optimized structure. 【0317】 Step 4: The server uses emotion recognition means to identify the user's emotional state through the terminal. The input is image and audio data acquired by the terminal's camera and microphone, and the output is the user's emotional state data (e.g., stress, relief, etc.). The server uses OpenCV or a speech analysis API to analyze the user's facial muscle movements and voice tone. 【0318】 Step 5: The server suggests document formatting based on the user's emotional state. The input is the emotional state data obtained in Step 4, and the output is a customized document formatting suggestion. Specifically, the server automatically generates and presents suggestions to the user, such as adjusting the hue or simplifying the layout. 【0319】 Step 6: The server uses an avatar-type intelligent processing device to perform a final check of the formatted document. The input is the document reflecting the formatting suggestions from Step 5, and the output is the final feedback and areas for improvement. The server evaluates the consistency and readability of the document and performs specific actions to provide feedback to the user through the avatar. 【0320】 (Application Example 2) 【0321】 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." 【0322】 In document creation, users often struggle to achieve an optimal structure that reflects their emotional state, and there is a lack of appropriate feedback to improve the consistency and readability of the documents. In particular, the quality of documents may decline when users are experiencing stress or anxiety. Furthermore, traditional systems cannot provide automated support tailored to emotions, hindering effective document creation assistance. 【0323】 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. 【0324】 In this invention, the server includes an information processing device means for receiving data and analyzing its contents; an artificial intelligence means for automatically formatting the structure and design of the data based on the analyzed contents; an avatar-type artificial intelligence means for performing a final check of the formatted data and providing feedback; an emotion recognition device means for recognizing the user's emotions and optimizing the data design according to those emotions; and an information processing device means for controlling relaxing music and lighting based on the user's emotional state. This makes it possible to create optimal data according to the user's emotions and provide emotionally appropriate feedback. 【0325】 An "information processing device" is a device that analyzes the content of input data and uses that data to reshape the structure and design. 【0326】 Artificial intelligence is a technology that has the ability to automatically generate information based on input data and perform specific tasks. 【0327】 An "avatar-type artificial intelligence" is an artificial intelligence that communicates interactively with users, evaluates the quality of materials, and provides appropriate feedback. 【0328】 An "emotion recognition device" is a device that uses technology to analyze a user's facial expressions and voice and identify their emotions in real time. 【0329】 "Control of music and lighting based on information processing equipment" refers to a process that appropriately selects music and lighting according to the user's emotional state and performs controls to improve the user's psychological state. 【0330】 The system to realize this application consists of an information processing device that receives and analyzes the contents of a document, artificial intelligence that formats the structure and design of the document, an avatar-type artificial intelligence that performs a final check of the formatted document and provides feedback, an emotion recognition device that recognizes the user's emotions and optimizes the design of the document according to those emotions, and an information processing device that controls music and lighting based on the user's emotional state. 【0331】 The server performs real-time emotion analysis by running emotion recognition models using Python and TensorFlow. Specifically, it processes image data acquired from a camera device using OpenCV, analyzes facial expressions, and identifies emotions. Audio data is also sent to the server via a microphone, and speech recognition technology is used to determine emotional states such as stress and tension. 【0332】 Natural language processing techniques are used to optimize the materials, analyzing the grammar and logical structure of text data using SpaCy and BERT models. Based on the analysis results, appropriate structure and design suggestions are automatically generated, and an avatar-type artificial intelligence provides final feedback. 【0333】 For example, if a user is preparing presentation materials at home, once the user uploads the materials to the server, the server immediately begins analyzing them. If the emotion recognition device detects that the user is feeling anxious, it may suggest changing the colors of the materials to calmer tones or play relaxing music. 【0334】 As an example of a prompt for a generative AI model, text such as, "I'm thinking of an application that formats presentation materials and suggests emotion-based feedback. What improvements do the materials need?" is used. This prompt functions as input to the generative AI model, and it is possible to obtain output results that improve the user experience. 【0335】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0336】 Step 1: 【0337】 The user uploads materials to the server using their device. The input at this stage consists of presentation materials created by the user, which will be the subject of subsequent analysis and optimization. The materials include both text data and graphics. 【0338】 Step 2: 【0339】 The server analyzes the uploaded data. First, it uses natural language processing techniques to analyze the structure of the text data, examining its grammar and logical flow. It then uses SpaCy and BERT models to extract important information and generate logical suggestions. The output includes the analyzed data and suggestions for optimizing its structure. 【0340】 Step 3: 【0341】 The server's emotion recognition system analyzes the user's emotional state using input from the terminal's camera and microphone. Image data from the camera is processed using OpenCV to recognize the user's facial expressions. Audio data is analyzed using speech recognition technology to identify the emotional state from the tone of voice. The output is metadata indicating the user's emotional state. 【0342】 Step 4: 【0343】 The server transforms the structural suggestions of the analyzed material into layout and color scheme suggestions optimized based on the user's emotional state. If tension is detected, calm colors and a simple layout are selected. This process is fed back to the generative AI model as prompts to obtain the optimal output. 【0344】 Step 5: 【0345】 Based on the initial proposal, the server uses an avatar-type artificial intelligence to perform a final check on the consistency and readability of the document. The input here is the updated draft document based on emotion recognition, and the output is detailed feedback comments and suggested adjustments as needed. 【0346】 Step 6: 【0347】 The user is presented with final feedback and the completed version of the materials. The device also offers suggestions for music and lighting, allowing the user to choose what they want to use while preparing the materials. This creates a comfortable environment. 【0348】 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. 【0349】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0350】 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. 【0351】 [Third Embodiment] 【0352】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0353】 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. 【0354】 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). 【0355】 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. 【0356】 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. 【0357】 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). 【0358】 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. 【0359】 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. 【0360】 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. 【0361】 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. 【0362】 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. 【0363】 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". 【0364】 This invention is a system for efficiently and effectively organizing user-created documents to a high standard. This system receives documents via the user's terminal, processes the information on a server, and utilizes artificial intelligence to appropriately organize the document's structure and design. Furthermore, an avatar-type AI performs a final check and provides feedback. This improves the consistency and readability of the documents, reducing the burden of revision work for the user. 【0365】 First, the user uploads the document to the server using their device. Upon receiving the document, the server immediately runs a program to analyze its contents. In this analysis phase, the text of the document is analyzed using natural language processing techniques to extract important keywords and context. Furthermore, the placement of images and graphs, as well as font usage, are also evaluated. Once the analysis is complete, the personal assistant AI generates suggestions. These suggestions include specific advice such as "you should unify the font size" or "you should change the order of the sections." 【0366】 Next, the server automatically formats the document. Based on suggestions from artificial intelligence, it optimizes the document's sections and improves consistency in fonts and layout. This is designed to more effectively convey the information intended by the user. 【0367】 Afterward, the formatted document moves to a final check stage by an avatar-type artificial intelligence. The AI ​​avatar evaluates the overall readability and consistency of the document and determines whether further improvements are needed. If corrections are needed at this stage, specific feedback is provided. The user can refer to this feedback and make final adjustments. 【0368】 For example, when a user creates a project proposal, uploading the initial draft will point out inconsistencies in fonts and sectioning, which are then improved by an automatic formatting function. Finally, an AI avatar evaluates the smoothness of the structure and visual clarity, and suggests necessary improvements. Throughout this entire process, the present invention reduces the user's workload and supports the efficient creation of high-quality documents. 【0369】 The following describes the processing flow. 【0370】 Step 1: 【0371】 The user uploads the created document files to the server using their device. The device then prepares to initiate the analysis process by sending the selected documents to the server. 【0372】 Step 2: 【0373】 The server opens the received document and analyzes its contents. The server uses natural language processing techniques to analyze the context of the text in the document, extracting important keywords and section structures. It also analyzes the placement of images and graphs within the document and compares them to standard layouts. 【0374】 Step 3: 【0375】 A personal assistant AI on the server generates suggestions for improving the document based on the analysis results. Specifically, these suggestions include unifying fonts, optimizing the order of sections, and rearranging images. These suggestions form the basis for formatting the document. 【0376】 Step 4: 【0377】 The server automatically formats the document based on AI-generated suggestions. Sections are rearranged, font sizes are standardized, and image placement is adjusted to transform the document into a consistent structure. 【0378】 Step 5: 【0379】 The formatted documents undergo a final check by an avatar-type artificial intelligence on the server. The AI ​​avatar evaluates the readability of the entire document and performs a final check for consistency and formatting in accordance with standard specifications. 【0380】 Step 6: 【0381】 The server generates feedback using an AI avatar, organizes the necessary improvements, and sends them to the user's device. The device then displays the feedback and improved materials to the user, allowing them to make final corrections. 【0382】 (Example 1) 【0383】 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." 【0384】 In document creation, it is crucial to effectively convey information while maintaining consistency in document structure and design. However, manual document creation is time-consuming and prone to inconsistencies in readability and design. Therefore, there is a need for automated systems that support the efficient and high-quality creation of documents. 【0385】 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. 【0386】 In this invention, the server includes an information processing device that receives information and analyzes its contents using natural language processing technology, an artificial intelligence device that optimizes the structure of the document and unifies its visual elements based on the analyzed content, and a device that performs a final evaluation of the formatted document using an avatar-type artificial intelligence and provides feedback to the user. This enables efficient improvement of the consistency and readability of the document, reduces the user's workload, and allows for the creation of high-quality documents. 【0387】 An "information processing device" is a combination of hardware and software for analyzing received data, and in particular, a device that analyzes text data using natural language processing technology. 【0388】 "Natural language processing technology" refers to the technology of understanding, interpreting, and generating human language using computers, and primarily includes processes for extracting text context and keywords. 【0389】 "Artificial intelligence" refers to technology that imitates human intelligent behavior through machine learning and data analysis, enabling it to autonomously perform specific tasks. 【0390】 "Avatar-type artificial intelligence" refers to artificial intelligence that interacts with users through an interface modeled after a human character, providing information and support. 【0391】 "Feedback" refers to information and instructions provided by a system based on evaluation and analysis results, intended to encourage improvements and adjustments by the user. 【0392】 "Optimization" refers to the process of adjusting and improving data and processes to best suit given conditions and objectives. 【0393】 "Visual elements" refer to elements that appeal to the eye, such as graphics, layout, fonts, and colors within documents and information. By unifying these elements, a consistent design is provided. 【0394】 The system in this invention is initiated when a user prepares materials via a terminal and uploads those materials to a server. The terminal used by the user is a regular computer or smart device, and it is possible to access the server using an internet browser. 【0395】 When the server receives uploaded materials, it uses an information processing device to analyze their contents. This analysis utilizes natural language processing technologies such as Python's NLTK library and spacy. This allows the server to analyze the text within the materials and extract important keywords and context. Furthermore, algorithms are used to evaluate the placement of images and graphs, as well as the consistency of font styles. 【0396】 Next, artificial intelligence on the server optimizes the document's structure and unifies its visual elements based on the analysis results. This is done using a document processing library (e.g., Apache PDFBox for documents), which automatically adjusts section order, font size, and other elements. 【0397】 Furthermore, the formatted documents undergo a final check by an avatar-type artificial intelligence. The AI ​​avatar evaluates the readability and consistency of the documents and provides feedback to the user. This feedback indicates areas for further improvement, which the user can use for final adjustments. 【0398】 As a concrete example, consider a scenario where a user uploads a document for a new business proposal. In the initial analysis phase, the server identifies issues such as inconsistent fonts and poorly aligned sections within the document. The generated advice includes specific instructions such as "unify all headings to font size 14" and "place section 1 after section 3." After the document is automatically formatted and improved, an AI avatar evaluates its structure and visual clarity, and final feedback is provided to the user. 【0399】 An example of a prompt would be: "I have created a business plan. Please check if the font size and layout of the document are consistent, and provide suggestions for improving consistency. Also, please provide feedback on the overall readability of the structure." 【0400】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0401】 Step 1: 【0402】 Users upload documents they create using their terminals to the server. These documents are in digital formats such as Word documents or PDFs. The server receives an HTTP request and saves the document file to its storage device. The input is the user's document, and the output is the data file stored on the server. 【0403】 Step 2: 【0404】 The server activates an information processing device to analyze the stored data. Using natural language processing techniques, it analyzes the text to extract context and important keywords. The placement of images and graphs, as well as font type and size, are also evaluated using algorithms. The input is the stored data, and the output is a list of analyzed keywords and design elements. 【0405】 Step 3: 【0406】 The server uses artificial intelligence to optimize the document's structure based on the analysis results. Specifically, the AI ​​performs tasks such as unifying font sizes and rearranging section order. It also directly edits the document's content using a document processing library. The input is a list of analysis results, and the output is the optimized document data. 【0407】 Step 4: 【0408】 The formatted documents proceed to a final check by an avatar-type AI on the server. The AI ​​avatar evaluates the entire document, checking for readability and consistency. Based on the results, feedback is generated for the user. The input is optimized document data, and the output is feedback information. 【0409】 Step 5: 【0410】 Users use their devices to receive feedback from the server and make final adjustments to their materials based on it. The feedback includes specific suggestions for improvement and points to note, which users use to revise their materials. The input is the feedback from the server, and the output is the revised, final version of the material. 【0411】 (Application Example 1) 【0412】 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." 【0413】 In document creation, users often face the challenge of efficiently producing high-quality documents while maintaining consistency in structure and design. This is especially true for home users, many of whom lack specialized knowledge or design skills, making it difficult to prepare presentation materials or speeches within limited timeframes. Furthermore, the lack of immediate visual and auditory feedback places a significant burden on final document adjustments. 【0414】 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. 【0415】 In this invention, the server includes an information processing device means for receiving data and analyzing its contents, an artificial intelligence means for automatically formatting the structure and design of the data based on the analyzed contents, and an avatar-type artificial intelligence means for performing a final check of the formatted data and providing feedback. This allows users to easily obtain visual and auditory feedback even at home, enabling them to create high-quality data in a short amount of time. 【0416】 "Documents" refer to documents and digital content containing information created by users, including presentation materials and speech scripts. 【0417】 An "information processing device" is a computer system that analyzes the content of received materials and performs data processing related to the structure and design of those materials. 【0418】 "Artificial intelligence" is a technology that automatically formats the structure and design of documents based on analyzed data, supporting the efficient and high-quality creation of documents. 【0419】 An "avatar-type artificial intelligence" is an AI system that provides visual or auditory feedback and performs a final check on formatted materials. 【0420】 "Consumer electronic devices" refer to electronic devices such as robots intended for use by users within their homes, and are devices that provide document creation support and feedback. 【0421】 This invention provides a system that supports document formatting and feedback through the collaboration of a user-operated consumer device with a server. First, the user uploads the document as digital data to the server using a terminal. This document includes presentations, speeches, and other similar materials. 【0422】 The server uses an information processing device to analyze the content of the received documents. Specifically, it utilizes natural language processing techniques for text processing, extracting keywords and analyzing context. It also evaluates visual elements of the documents, such as fonts and layout. NLP libraries such as SpaCy and NLTK may be used for this processing. 【0423】 Once the analysis is complete, the artificial intelligence automatically formats the structure and design of the document. Based on the suggestions, it ensures consistency in sections and font sizes, and adjusts the document for overall readability. The formatted document is then given a final check by an avatar-type artificial intelligence. 【0424】 Consumer electronics evaluate formatted materials visually and aurally, providing users with visual and audio feedback. This feedback is made possible by using Google's Text-to-Speech API to enable audio output. 【0425】 As a concrete example, when a user creates an online presentation at home, they upload their materials to a server. They then receive formatting suggestions from AI, and finally, voice feedback indicates areas for improvement. This system helps users create high-quality materials in a short amount of time. 【0426】 An example of a prompt message would be: "Extract key keywords and context from the given material, and ensure consistency in the font and layout of the material. Then, perform a final check on the formatted material and specifically point out areas that need improvement." This allows the server to efficiently format and evaluate the material. 【0427】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0428】 Step 1: 【0429】 The user uploads documents as digital data to the server using their device. In this process, the user's device prepares the document data as input and performs network communication to transfer it to the server. The document format can be a standard text file or presentation file. 【0430】 Step 2: 【0431】 The server receives uploaded materials and analyzes their content using an information processing device. It receives the material data as input, extracts keywords using natural language processing techniques, and analyzes the context. NLP libraries such as SpaCy and NLTK are used for this process. The output includes a list of important keywords and context-related information contained in the material. 【0432】 Step 3: 【0433】 The server uses artificial intelligence to restructure and design the document based on the analysis results. In this step, it receives the analysis results as input and adjusts the font size and optimizes the order of sections. The output is the restructured document data. The document is then reorganized and given a consistent look based on the optimization ideas suggested by the artificial intelligence. 【0434】 Step 4: 【0435】 The formatted documents undergo a final check by an avatar-type artificial intelligence on a server. The system receives the formatted document data as input and verifies readability and consistency. Feedback is output as specific suggestions for areas requiring improvement. 【0436】 Step 5: 【0437】 Consumer electronics devices acquire formatted data and provide users with visual and audio information based on feedback from a server. The system receives the final formatted data and feedback as input, displaying visual information on the screen and outputting audio through the speaker. Google's Text-to-Speech API is used to generate audio feedback. The output consists of improvement suggestions and confirmation information presented to the user. 【0438】 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. 【0439】 This invention is a system that combines an information processing device that receives, analyzes, and formats user-created materials with an emotion engine that recognizes the user's emotions. This system provides flexible material formatting according to the user's requests, while simultaneously supporting more effective material creation by providing optimized feedback based on the user's emotions. 【0440】 First, the user uploads their materials to the server via their device. Upon receiving the materials, the server automatically begins analysis. The content of the materials is analyzed in detail using natural language processing technology, and important information is extracted. Based on this information, including the placement of graphs and images, and font usage, suggestions are generated to optimize the structure of the materials. 【0441】 Next, the system leverages the emotion engine's ability to recognize user emotions in real time. Using facial recognition technology and voice analysis, it determines the user's emotional state while creating documents. For example, if a user is feeling stressed, the system can automatically suggest changes to color schemes or layouts to alleviate their tension. 【0442】 Furthermore, once the document formatting is complete, an avatar-type artificial intelligence performs a final check. The avatar evaluates the overall consistency and readability of the document and provides the most helpful feedback for the user. User sentiment data is also taken into consideration; for example, if the user is satisfied, only minor improvements will be suggested, while if dissatisfaction is expressed, more detailed feedback will be provided. 【0443】 As a concrete example, consider a scenario where a user is creating a presentation document. Upon uploading the initial draft, the system optimizes the logical structure and, if the emotion engine detects the user's level of tension, suggests calming color schemes and simple layouts. Finally, an AI avatar provides the user with feedback, including praise and encouragement in a light tone, improving the document creation experience. Through this series of operations, the present invention realizes a flexible and high-quality document creation environment tailored to the user's needs. 【0444】 The following describes the processing flow. 【0445】 Step 1: 【0446】 The user uploads the created document file to the server using their device. The device then selects the document file and sends it to the server, prompting the system to begin analysis. 【0447】 Step 2: 【0448】 The server receives the uploaded materials and prepares to analyze their content. The server analyzes the text within the materials using natural language processing techniques to extract important keywords and contextual structures. It also checks the placement of graphs and images, the use of font styles, and evaluates the overall consistency of the materials. 【0449】 Step 3: 【0450】 The server generates suggestions based on the analysis results. The personal assistant AI creates specific suggestions to automatically organize the structure and layout of the document (e.g., optimizing font consistency, changing the order of sections). 【0451】 Step 4: 【0452】 With the user's permission, the device uses its camera and microphone to analyze the user's emotional state using an emotion engine. The device then uses an emotion recognition algorithm to determine the user's emotions from their facial expressions and vocal intonation. This result is sent to a server and incorporated into the document formatting process. 【0453】 Step 5: 【0454】 The server automatically formats the document based on suggestions, taking emotional data into consideration. For example, if the user is feeling stressed, it will apply calming colors and a simple layout, customizing the document according to their emotions. 【0455】 Step 6: 【0456】 The formatted documents undergo a final check by an avatar-type artificial intelligence on a server. The avatar evaluates the readability, consistency, and overall completeness of the documents and generates appropriate feedback. 【0457】 Step 7: 【0458】 The server sends the final feedback and formatted document to the user's device. The device displays the feedback to the user and provides options for using the improved document. The user can then make final adjustments to the document based on this feedback. 【0459】 (Example 2) 【0460】 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." 【0461】 During the document creation process, users often struggle with organizing information and optimizing visual design. Furthermore, improving the quality of documents requires feedback and improvement suggestions that take into account the user's emotional state. However, conventional systems struggle to comprehensively consider these factors when formatting documents, often resulting in inconsistent quality output. 【0462】 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. 【0463】 In this invention, the server includes data processing means for receiving and analyzing the content of materials, intelligent processing means for automatically optimizing the logical structure and design of the materials based on the analyzed content, and emotion recognition means for recognizing the user's emotional state in real time through a terminal and reflecting it in the suggested formatting of the materials. This simplifies the user's material creation process and makes it possible to provide high-quality materials that take emotions into consideration. 【0464】 "Materials" refers to a collection of information created or collected by a user for a specific purpose. 【0465】 "Analysis" refers to the process of examining information within a document in detail and extracting useful data and insights. 【0466】 "Data processing means" refers to a device or program used to analyze the content of a document and organize the necessary information. 【0467】 "Intelligent processing means" refers to a device or program that uses artificial intelligence technology to automatically optimize or suggest the design and logical structure of a document. 【0468】 "Emotion recognition means" refers to a device or program that detects the user's emotional state from their facial expressions and voice, and reflects that information in the formatting of the document. 【0469】 An "avatar-type intelligent processing system" refers to an artificial intelligence system that provides feedback to the user through a virtual character. 【0470】 An "information processing system" refers to a device or group of devices that integrates and manages a series of processes including data input, analysis, and output. 【0471】 This system aims to automate data analysis and formatting during the user's document creation process, and further provide feedback tailored to the user's emotional state. The system primarily functions through server, terminal, and user interaction. 【0472】 First, the user uses their device to upload the created document to the server in a file format (text file, slide file, image file, etc.). The device provides a special interface for this purpose. The user can easily send the document to the server by selecting the file on this interface and clicking the upload button. 【0473】 The server analyzes the uploaded documents. This process primarily utilizes natural language processing techniques, with tools such as Python's NLTK library and spaCy proving effective. This technology extracts important information from the document's text and analyzes its structure. It also performs detailed analysis of the placement of graphs and images within the document. 【0474】 Once the analysis of the document is complete, the server's intelligent processing system generates suggestions to optimize the document based on its content. The intelligent processing system generates multiple configuration options through a template engine and shows previews of them to the user. During this process, the logical structure and design incorporated into the document are optimized. 【0475】 Furthermore, the server recognizes the user's emotions through the terminal. Here, the terminal's camera and microphone are used to determine the user's emotional state from their facial expressions and tone of voice. This function is implemented using OpenCV and other speech analysis APIs. For example, if the user is feeling anxious, the system will suggest calming colors and a simple layout. 【0476】 Once the document formatting is complete, the server uses an avatar-based intelligent processing system to perform a final evaluation and provide feedback. The avatar checks the consistency and readability of the document and generates helpful feedback for the user. This process also takes into account the user's sentiment data, including appropriate praise and suggestions for improvement. 【0477】 As a concrete example, the following is an example of a prompt message used when a user creates presentation materials. By inputting the instruction "Optimize the presentation materials and suggest a layout that reduces user stress" into the generating AI model, it is possible to achieve more optimal material formatting and improve the user experience. 【0478】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0479】 Step 1: The user uploads a document file created using their terminal to the server. The input is the document file created by the user, which includes text, graphs, and images. The output is a message indicating that the document file has been successfully transferred to the server. Specifically, the user opens a dedicated interface, selects the document file, and clicks the "Upload" button. This action sends the document to the server. 【0480】 Step 2: The server receives the uploaded materials and performs analysis using natural language processing techniques. The input is the material file uploaded by the user, which is the subject of analysis. The output is important keywords and phrases extracted from the text of the material, as well as the analyzed layout information. The server uses Python's NLTK library or spaCy to tokenize the content of the material and then extract nouns and verbs. 【0481】 Step 3: The server generates an optimized document structure proposal based on the analyzed information. The input is the analysis results obtained in Step 2, and the output is the optimized document structure proposal. Specifically, the server uses a template engine to generate proposals for different styles. It then generates an HTML file to provide the user with a preview of the optimized structure. 【0482】 Step 4: The server uses emotion recognition means to identify the user's emotional state through the terminal. The input is image and audio data acquired by the terminal's camera and microphone, and the output is the user's emotional state data (e.g., stress, relief, etc.). The server uses OpenCV or a speech analysis API to analyze the user's facial muscle movements and voice tone. 【0483】 Step 5: The server suggests document formatting based on the user's emotional state. The input is the emotional state data obtained in Step 4, and the output is a customized document formatting suggestion. Specifically, the server automatically generates and presents suggestions to the user, such as adjusting the hue or simplifying the layout. 【0484】 Step 6: The server uses an avatar-type intelligent processing device to perform a final check of the formatted document. The input is the document reflecting the formatting suggestions from Step 5, and the output is the final feedback and areas for improvement. The server evaluates the consistency and readability of the document and performs specific actions to provide feedback to the user through the avatar. 【0485】 (Application Example 2) 【0486】 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." 【0487】 In document creation, users often struggle to achieve an optimal structure that reflects their emotional state, and there is a lack of appropriate feedback to improve the consistency and readability of the documents. In particular, the quality of documents may decline when users are experiencing stress or anxiety. Furthermore, traditional systems cannot provide automated support tailored to emotions, hindering effective document creation assistance. 【0488】 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. 【0489】 In this invention, the server includes an information processing device means for receiving data and analyzing its contents; an artificial intelligence means for automatically formatting the structure and design of the data based on the analyzed contents; an avatar-type artificial intelligence means for performing a final check of the formatted data and providing feedback; an emotion recognition device means for recognizing the user's emotions and optimizing the data design according to those emotions; and an information processing device means for controlling relaxing music and lighting based on the user's emotional state. This makes it possible to create optimal data according to the user's emotions and provide emotionally appropriate feedback. 【0490】 An "information processing device" is a device that analyzes the content of input data and uses that data to reshape the structure and design. 【0491】 Artificial intelligence is a technology that has the ability to automatically generate information based on input data and perform specific tasks. 【0492】 An "avatar-type artificial intelligence" is an artificial intelligence that communicates interactively with users, evaluates the quality of materials, and provides appropriate feedback. 【0493】 An "emotion recognition device" is a device that uses technology to analyze a user's facial expressions and voice and identify their emotions in real time. 【0494】 "Control of music and lighting based on information processing equipment" refers to a process that appropriately selects music and lighting according to the user's emotional state and performs controls to improve the user's psychological state. 【0495】 The system to realize this application consists of an information processing device that receives and analyzes the contents of a document, artificial intelligence that formats the structure and design of the document, an avatar-type artificial intelligence that performs a final check of the formatted document and provides feedback, an emotion recognition device that recognizes the user's emotions and optimizes the design of the document according to those emotions, and an information processing device that controls music and lighting based on the user's emotional state. 【0496】 The server performs real-time emotion analysis by running emotion recognition models using Python and TensorFlow. Specifically, it processes image data acquired from a camera device using OpenCV, analyzes facial expressions, and identifies emotions. Audio data is also sent to the server via a microphone, and speech recognition technology is used to determine emotional states such as stress and tension. 【0497】 Natural language processing techniques are used to optimize the materials, analyzing the grammar and logical structure of text data using SpaCy and BERT models. Based on the analysis results, appropriate structure and design suggestions are automatically generated, and an avatar-type artificial intelligence provides final feedback. 【0498】 For example, if a user is preparing presentation materials at home, once the user uploads the materials to the server, the server immediately begins analyzing them. If the emotion recognition device detects that the user is feeling anxious, it may suggest changing the colors of the materials to calmer tones or play relaxing music. 【0499】 As an example of a prompt for a generative AI model, text such as, "I'm thinking of an application that formats presentation materials and suggests emotion-based feedback. What improvements do the materials need?" is used. This prompt functions as input to the generative AI model, and it is possible to obtain output results that improve the user experience. 【0500】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0501】 Step 1: 【0502】 The user uploads materials to the server using their device. The input at this stage consists of presentation materials created by the user, which will be the subject of subsequent analysis and optimization. The materials include both text data and graphics. 【0503】 Step 2: 【0504】 The server analyzes the uploaded data. First, it uses natural language processing techniques to analyze the structure of the text data, examining its grammar and logical flow. It then uses SpaCy and BERT models to extract important information and generate logical suggestions. The output includes the analyzed data and suggestions for optimizing its structure. 【0505】 Step 3: 【0506】 The server's emotion recognition system analyzes the user's emotional state using input from the terminal's camera and microphone. Image data from the camera is processed using OpenCV to recognize the user's facial expressions. Audio data is analyzed using speech recognition technology to identify the emotional state from the tone of voice. The output is metadata indicating the user's emotional state. 【0507】 Step 4: 【0508】 The server transforms the structural suggestions of the analyzed material into layout and color scheme suggestions optimized based on the user's emotional state. If tension is detected, calm colors and a simple layout are selected. This process is fed back to the generative AI model as prompts to obtain the optimal output. 【0509】 Step 5: 【0510】 Based on the initial proposal, the server uses an avatar-type artificial intelligence to perform a final check on the consistency and readability of the document. The input here is the updated draft document based on emotion recognition, and the output is detailed feedback comments and suggested adjustments as needed. 【0511】 Step 6: 【0512】 The user is presented with final feedback and the completed version of the materials. The device also offers suggestions for music and lighting, allowing the user to choose what they want to use while preparing the materials. This creates a comfortable environment. 【0513】 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. 【0514】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0515】 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. 【0516】 [Fourth Embodiment] 【0517】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0518】 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. 【0519】 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). 【0520】 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. 【0521】 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. 【0522】 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). 【0523】 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. 【0524】 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. 【0525】 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. 【0526】 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. 【0527】 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. 【0528】 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. 【0529】 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". 【0530】 This invention is a system for efficiently and effectively organizing user-created documents to a high standard. This system receives documents via the user's terminal, processes the information on a server, and utilizes artificial intelligence to appropriately organize the document's structure and design. Furthermore, an avatar-type AI performs a final check and provides feedback. This improves the consistency and readability of the documents, reducing the burden of revision work for the user. 【0531】 First, the user uploads the document to the server using their device. Upon receiving the document, the server immediately runs a program to analyze its contents. In this analysis phase, the text of the document is analyzed using natural language processing techniques to extract important keywords and context. Furthermore, the placement of images and graphs, as well as font usage, are also evaluated. Once the analysis is complete, the personal assistant AI generates suggestions. These suggestions include specific advice such as "you should unify the font size" or "you should change the order of the sections." 【0532】 Next, the server automatically formats the document. Based on suggestions from artificial intelligence, it optimizes the document's sections and improves consistency in fonts and layout. This is designed to more effectively convey the information intended by the user. 【0533】 Afterward, the formatted document moves to a final check stage by an avatar-type artificial intelligence. The AI ​​avatar evaluates the overall readability and consistency of the document and determines whether further improvements are needed. If corrections are needed at this stage, specific feedback is provided. The user can refer to this feedback and make final adjustments. 【0534】 For example, when a user creates a project proposal, uploading the initial draft will point out inconsistencies in fonts and sectioning, which are then improved by an automatic formatting function. Finally, an AI avatar evaluates the smoothness of the structure and visual clarity, and suggests necessary improvements. Throughout this entire process, the present invention reduces the user's workload and supports the efficient creation of high-quality documents. 【0535】 The following describes the processing flow. 【0536】 Step 1: 【0537】 The user uploads the created document files to the server using their device. The device then prepares to initiate the analysis process by sending the selected documents to the server. 【0538】 Step 2: 【0539】 The server opens the received document and analyzes its contents. The server uses natural language processing techniques to analyze the context of the text in the document, extracting important keywords and section structures. It also analyzes the placement of images and graphs within the document and compares them to standard layouts. 【0540】 Step 3: 【0541】 A personal assistant AI on the server generates suggestions for improving the document based on the analysis results. Specifically, these suggestions include unifying fonts, optimizing the order of sections, and rearranging images. These suggestions form the basis for formatting the document. 【0542】 Step 4: 【0543】 The server automatically formats the document based on AI-generated suggestions. Sections are rearranged, font sizes are standardized, and image placement is adjusted to transform the document into a consistent structure. 【0544】 Step 5: 【0545】 The formatted documents undergo a final check by an avatar-type artificial intelligence on the server. The AI ​​avatar evaluates the readability of the entire document and performs a final check for consistency and formatting in accordance with standard specifications. 【0546】 Step 6: 【0547】 The server generates feedback using an AI avatar, organizes the necessary improvements, and sends them to the user's device. The device then displays the feedback and improved materials to the user, allowing them to make final corrections. 【0548】 (Example 1) 【0549】 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". 【0550】 In document creation, it is crucial to effectively convey information while maintaining consistency in document structure and design. However, manual document creation is time-consuming and prone to inconsistencies in readability and design. Therefore, there is a need for automated systems that support the efficient and high-quality creation of documents. 【0551】 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. 【0552】 In this invention, the server includes an information processing device that receives information and analyzes its contents using natural language processing technology, an artificial intelligence device that optimizes the structure of the document and unifies its visual elements based on the analyzed content, and a device that performs a final evaluation of the formatted document using an avatar-type artificial intelligence and provides feedback to the user. This enables efficient improvement of the consistency and readability of the document, reduces the user's workload, and allows for the creation of high-quality documents. 【0553】 An "information processing device" is a combination of hardware and software for analyzing received data, and in particular, a device that analyzes text data using natural language processing technology. 【0554】 "Natural language processing technology" refers to the technology of understanding, interpreting, and generating human language using computers, and primarily includes processes for extracting text context and keywords. 【0555】 "Artificial intelligence" refers to technology that imitates human intelligent behavior through machine learning and data analysis, enabling it to autonomously perform specific tasks. 【0556】 "Avatar-type artificial intelligence" refers to artificial intelligence that interacts with users through an interface modeled after a human character, providing information and support. 【0557】 "Feedback" refers to information and instructions provided by a system based on evaluation and analysis results, intended to encourage improvements and adjustments by the user. 【0558】 "Optimization" refers to the process of adjusting and improving data and processes to best suit given conditions and objectives. 【0559】 "Visual elements" refer to elements that appeal to the eye, such as graphics, layout, fonts, and colors within documents and information. By unifying these elements, a consistent design is provided. 【0560】 The system in this invention is initiated when a user prepares materials via a terminal and uploads those materials to a server. The terminal used by the user is a regular computer or smart device, and it is possible to access the server using an internet browser. 【0561】 When the server receives uploaded materials, it uses an information processing device to analyze their contents. This analysis utilizes natural language processing technologies such as Python's NLTK library and spacy. This allows the server to analyze the text within the materials and extract important keywords and context. Furthermore, algorithms are used to evaluate the placement of images and graphs, as well as the consistency of font styles. 【0562】 Next, artificial intelligence on the server optimizes the document's structure and unifies its visual elements based on the analysis results. This is done using a document processing library (e.g., Apache PDFBox for documents), which automatically adjusts section order, font size, and other elements. 【0563】 Furthermore, the formatted documents undergo a final check by an avatar-type artificial intelligence. The AI ​​avatar evaluates the readability and consistency of the documents and provides feedback to the user. This feedback indicates areas for further improvement, which the user can use for final adjustments. 【0564】 As a concrete example, consider a scenario where a user uploads a document for a new business proposal. In the initial analysis phase, the server identifies issues such as inconsistent fonts and poorly aligned sections within the document. The generated advice includes specific instructions such as "unify all headings to font size 14" and "place section 1 after section 3." After the document is automatically formatted and improved, an AI avatar evaluates its structure and visual clarity, and final feedback is provided to the user. 【0565】 An example of a prompt would be: "I have created a business plan. Please check if the font size and layout of the document are consistent, and provide suggestions for improving consistency. Also, please provide feedback on the overall readability of the structure." 【0566】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0567】 Step 1: 【0568】 Users upload documents they create using their terminals to the server. These documents are in digital formats such as Word documents or PDFs. The server receives an HTTP request and saves the document file to its storage device. The input is the user's document, and the output is the data file stored on the server. 【0569】 Step 2: 【0570】 The server activates an information processing device to analyze the stored data. Using natural language processing techniques, it analyzes the text to extract context and important keywords. The placement of images and graphs, as well as font type and size, are also evaluated using algorithms. The input is the stored data, and the output is a list of analyzed keywords and design elements. 【0571】 Step 3: 【0572】 The server uses artificial intelligence to optimize the document's structure based on the analysis results. Specifically, the AI ​​performs tasks such as unifying font sizes and rearranging section order. It also directly edits the document's content using a document processing library. The input is a list of analysis results, and the output is the optimized document data. 【0573】 Step 4: 【0574】 The formatted documents proceed to a final check by an avatar-type AI on the server. The AI ​​avatar evaluates the entire document, checking for readability and consistency. Based on the results, feedback is generated for the user. The input is optimized document data, and the output is feedback information. 【0575】 Step 5: 【0576】 Users use their devices to receive feedback from the server and make final adjustments to their materials based on it. The feedback includes specific suggestions for improvement and points to note, which users use to revise their materials. The input is the feedback from the server, and the output is the revised, final version of the material. 【0577】 (Application Example 1) 【0578】 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". 【0579】 In document creation, users often face the challenge of efficiently producing high-quality documents while maintaining consistency in structure and design. This is especially true for home users, many of whom lack specialized knowledge or design skills, making it difficult to prepare presentation materials or speeches within limited timeframes. Furthermore, the lack of immediate visual and auditory feedback places a significant burden on final document adjustments. 【0580】 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. 【0581】 In this invention, the server includes an information processing device means for receiving data and analyzing its contents, an artificial intelligence means for automatically formatting the structure and design of the data based on the analyzed contents, and an avatar-type artificial intelligence means for performing a final check of the formatted data and providing feedback. This allows users to easily obtain visual and auditory feedback even at home, enabling them to create high-quality data in a short amount of time. 【0582】 "Documents" refer to documents and digital content containing information created by users, including presentation materials and speech scripts. 【0583】 An "information processing device" is a computer system that analyzes the content of received materials and performs data processing related to the structure and design of those materials. 【0584】 "Artificial intelligence" is a technology that automatically formats the structure and design of documents based on analyzed data, supporting the efficient and high-quality creation of documents. 【0585】 An "avatar-type artificial intelligence" is an AI system that provides visual or auditory feedback and performs a final check on formatted materials. 【0586】 "Consumer electronic devices" refer to electronic devices such as robots intended for use by users within their homes, and are devices that provide document creation support and feedback. 【0587】 This invention provides a system that supports document formatting and feedback through the collaboration of a user-operated consumer device with a server. First, the user uploads the document as digital data to the server using a terminal. This document includes presentations, speeches, and other similar materials. 【0588】 The server uses an information processing device to analyze the content of the received documents. Specifically, it utilizes natural language processing techniques for text processing, extracting keywords and analyzing context. It also evaluates visual elements of the documents, such as fonts and layout. NLP libraries such as SpaCy and NLTK may be used for this processing. 【0589】 Once the analysis is complete, the artificial intelligence automatically formats the structure and design of the document. Based on the suggestions, it ensures consistency in sections and font sizes, and adjusts the document for overall readability. The formatted document is then given a final check by an avatar-type artificial intelligence. 【0590】 Consumer electronics evaluate formatted materials visually and aurally, providing users with visual and audio feedback. This feedback is made possible by using Google's Text-to-Speech API to enable audio output. 【0591】 As a concrete example, when a user creates an online presentation at home, they upload their materials to a server. They then receive formatting suggestions from AI, and finally, voice feedback indicates areas for improvement. This system helps users create high-quality materials in a short amount of time. 【0592】 An example of a prompt message would be: "Extract key keywords and context from the given material, and ensure consistency in the font and layout of the material. Then, perform a final check on the formatted material and specifically point out areas that need improvement." This allows the server to efficiently format and evaluate the material. 【0593】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0594】 Step 1: 【0595】 The user uploads documents as digital data to the server using their device. In this process, the user's device prepares the document data as input and performs network communication to transfer it to the server. The document format can be a standard text file or presentation file. 【0596】 Step 2: 【0597】 The server receives uploaded materials and analyzes their content using an information processing device. It receives the material data as input, extracts keywords using natural language processing techniques, and analyzes the context. NLP libraries such as SpaCy and NLTK are used for this process. The output includes a list of important keywords and context-related information contained in the material. 【0598】 Step 3: 【0599】 The server uses artificial intelligence to restructure and design the document based on the analysis results. In this step, it receives the analysis results as input and adjusts the font size and optimizes the order of sections. The output is the restructured document data. The document is then reorganized and given a consistent look based on the optimization ideas suggested by the artificial intelligence. 【0600】 Step 4: 【0601】 The formatted documents undergo a final check by an avatar-type artificial intelligence on a server. The system receives the formatted document data as input and verifies readability and consistency. Feedback is output as specific suggestions for areas requiring improvement. 【0602】 Step 5: 【0603】 Consumer electronics devices acquire formatted data and provide users with visual and audio information based on feedback from a server. The system receives the final formatted data and feedback as input, displaying visual information on the screen and outputting audio through the speaker. Google's Text-to-Speech API is used to generate audio feedback. The output consists of improvement suggestions and confirmation information presented to the user. 【0604】 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. 【0605】 This invention is a system that combines an information processing device that receives, analyzes, and formats user-created materials with an emotion engine that recognizes the user's emotions. This system provides flexible material formatting according to the user's requests, while simultaneously supporting more effective material creation by providing optimized feedback based on the user's emotions. 【0606】 First, the user uploads their materials to the server via their device. Upon receiving the materials, the server automatically begins analysis. The content of the materials is analyzed in detail using natural language processing technology, and important information is extracted. Based on this information, including the placement of graphs and images, and font usage, suggestions are generated to optimize the structure of the materials. 【0607】 Next, the system leverages the emotion engine's ability to recognize user emotions in real time. Using facial recognition technology and voice analysis, it determines the user's emotional state while creating documents. For example, if a user is feeling stressed, the system can automatically suggest changes to color schemes or layouts to alleviate their tension. 【0608】 Furthermore, once the document formatting is complete, an avatar-type artificial intelligence performs a final check. The avatar evaluates the overall consistency and readability of the document and provides the most helpful feedback for the user. User sentiment data is also taken into consideration; for example, if the user is satisfied, only minor improvements will be suggested, while if dissatisfaction is expressed, more detailed feedback will be provided. 【0609】 As a concrete example, consider a scenario where a user is creating a presentation document. Upon uploading the initial draft, the system optimizes the logical structure and, if the emotion engine detects the user's level of tension, suggests calming color schemes and simple layouts. Finally, an AI avatar provides the user with feedback, including praise and encouragement in a light tone, improving the document creation experience. Through this series of operations, the present invention realizes a flexible and high-quality document creation environment tailored to the user's needs. 【0610】 The following describes the processing flow. 【0611】 Step 1: 【0612】 The user uploads the created document file to the server using their device. The device then selects the document file and sends it to the server, prompting the system to begin analysis. 【0613】 Step 2: 【0614】 The server receives the uploaded materials and prepares to analyze their content. The server analyzes the text within the materials using natural language processing techniques to extract important keywords and contextual structures. It also checks the placement of graphs and images, the use of font styles, and evaluates the overall consistency of the materials. 【0615】 Step 3: 【0616】 The server generates suggestions based on the analysis results. The personal assistant AI creates specific suggestions to automatically organize the structure and layout of the document (e.g., optimizing font consistency, changing the order of sections). 【0617】 Step 4: 【0618】 With the user's permission, the device uses its camera and microphone to analyze the user's emotional state using an emotion engine. The device then uses an emotion recognition algorithm to determine the user's emotions from their facial expressions and vocal intonation. This result is sent to a server and incorporated into the document formatting process. 【0619】 Step 5: 【0620】 The server automatically formats the document based on suggestions, taking emotional data into consideration. For example, if the user is feeling stressed, it will apply calming colors and a simple layout, customizing the document according to their emotions. 【0621】 Step 6: 【0622】 The formatted documents undergo a final check by an avatar-type artificial intelligence on a server. The avatar evaluates the readability, consistency, and overall completeness of the documents and generates appropriate feedback. 【0623】 Step 7: 【0624】 The server sends the final feedback and formatted document to the user's device. The device displays the feedback to the user and provides options for using the improved document. The user can then make final adjustments to the document based on this feedback. 【0625】 (Example 2) 【0626】 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". 【0627】 During the document creation process, users often struggle with organizing information and optimizing visual design. Furthermore, improving the quality of documents requires feedback and improvement suggestions that take into account the user's emotional state. However, conventional systems struggle to comprehensively consider these factors when formatting documents, often resulting in inconsistent quality output. 【0628】 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. 【0629】 In this invention, the server includes data processing means for receiving and analyzing the content of materials, intelligent processing means for automatically optimizing the logical structure and design of the materials based on the analyzed content, and emotion recognition means for recognizing the user's emotional state in real time through a terminal and reflecting it in the suggested formatting of the materials. This simplifies the user's material creation process and makes it possible to provide high-quality materials that take emotions into consideration. 【0630】 "Materials" refers to a collection of information created or collected by a user for a specific purpose. 【0631】 "Analysis" refers to the process of examining information within a document in detail and extracting useful data and insights. 【0632】 "Data processing means" refers to a device or program used to analyze the content of a document and organize the necessary information. 【0633】 "Intelligent processing means" refers to a device or program that uses artificial intelligence technology to automatically optimize or suggest the design and logical structure of a document. 【0634】 "Emotion recognition means" refers to a device or program that detects the user's emotional state from their facial expressions and voice, and reflects that information in the formatting of the document. 【0635】 An "avatar-type intelligent processing system" refers to an artificial intelligence system that provides feedback to the user through a virtual character. 【0636】 An "information processing system" refers to a device or group of devices that integrates and manages a series of processes including data input, analysis, and output. 【0637】 This system aims to automate data analysis and formatting during the user's document creation process, and further provide feedback tailored to the user's emotional state. The system primarily functions through server, terminal, and user interaction. 【0638】 First, the user uses their device to upload the created document to the server in a file format (text file, slide file, image file, etc.). The device provides a special interface for this purpose. The user can easily send the document to the server by selecting the file on this interface and clicking the upload button. 【0639】 The server analyzes the uploaded documents. This process primarily utilizes natural language processing techniques, with tools such as Python's NLTK library and spaCy proving effective. This technology extracts important information from the document's text and analyzes its structure. It also performs detailed analysis of the placement of graphs and images within the document. 【0640】 Once the analysis of the document is complete, the server's intelligent processing system generates suggestions to optimize the document based on its content. The intelligent processing system generates multiple configuration options through a template engine and shows previews of them to the user. During this process, the logical structure and design incorporated into the document are optimized. 【0641】 Furthermore, the server recognizes the user's emotions through the terminal. Here, the terminal's camera and microphone are used to determine the user's emotional state from their facial expressions and tone of voice. This function is implemented using OpenCV and other speech analysis APIs. For example, if the user is feeling anxious, the system will suggest calming colors and a simple layout. 【0642】 Once the document formatting is complete, the server uses an avatar-based intelligent processing system to perform a final evaluation and provide feedback. The avatar checks the consistency and readability of the document and generates helpful feedback for the user. This process also takes into account the user's sentiment data, including appropriate praise and suggestions for improvement. 【0643】 As a concrete example, the following is an example of a prompt message used when a user creates presentation materials. By inputting the instruction "Optimize the presentation materials and suggest a layout that reduces user stress" into the generating AI model, it is possible to achieve more optimal material formatting and improve the user experience. 【0644】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0645】 Step 1: The user uploads a document file created using their terminal to the server. The input is the document file created by the user, which includes text, graphs, and images. The output is a message indicating that the document file has been successfully transferred to the server. Specifically, the user opens a dedicated interface, selects the document file, and clicks the "Upload" button. This action sends the document to the server. 【0646】 Step 2: The server receives the uploaded materials and performs analysis using natural language processing techniques. The input is the material file uploaded by the user, which is the subject of analysis. The output is important keywords and phrases extracted from the text of the material, as well as the analyzed layout information. The server uses Python's NLTK library or spaCy to tokenize the content of the material and then extract nouns and verbs. 【0647】 Step 3: The server generates an optimized document structure proposal based on the analyzed information. The input is the analysis results obtained in Step 2, and the output is the optimized document structure proposal. Specifically, the server uses a template engine to generate proposals for different styles. It then generates an HTML file to provide the user with a preview of the optimized structure. 【0648】 Step 4: The server uses emotion recognition means to identify the user's emotional state through the terminal. The input is image and audio data acquired by the terminal's camera and microphone, and the output is the user's emotional state data (e.g., stress, relief, etc.). The server uses OpenCV or a speech analysis API to analyze the user's facial muscle movements and voice tone. 【0649】 Step 5: The server suggests document formatting based on the user's emotional state. The input is the emotional state data obtained in Step 4, and the output is a customized document formatting suggestion. Specifically, the server automatically generates and presents suggestions to the user, such as adjusting the hue or simplifying the layout. 【0650】 Step 6: The server uses an avatar-type intelligent processing device to perform a final check of the formatted document. The input is the document reflecting the formatting suggestions from Step 5, and the output is the final feedback and areas for improvement. The server evaluates the consistency and readability of the document and performs specific actions to provide feedback to the user through the avatar. 【0651】 (Application Example 2) 【0652】 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". 【0653】 In document creation, users often struggle to achieve an optimal structure that reflects their emotional state, and there is a lack of appropriate feedback to improve the consistency and readability of the documents. In particular, the quality of documents may decline when users are experiencing stress or anxiety. Furthermore, traditional systems cannot provide automated support tailored to emotions, hindering effective document creation assistance. 【0654】 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. 【0655】 In this invention, the server includes an information processing device means for receiving data and analyzing its contents; an artificial intelligence means for automatically formatting the structure and design of the data based on the analyzed contents; an avatar-type artificial intelligence means for performing a final check of the formatted data and providing feedback; an emotion recognition device means for recognizing the user's emotions and optimizing the data design according to those emotions; and an information processing device means for controlling relaxing music and lighting based on the user's emotional state. This makes it possible to create optimal data according to the user's emotions and provide emotionally appropriate feedback. 【0656】 An "information processing device" is a device that analyzes the content of input data and uses that data to reshape the structure and design. 【0657】 Artificial intelligence is a technology that has the ability to automatically generate information based on input data and perform specific tasks. 【0658】 An "avatar-type artificial intelligence" is an artificial intelligence that communicates interactively with users, evaluates the quality of materials, and provides appropriate feedback. 【0659】 An "emotion recognition device" is a device that uses technology to analyze a user's facial expressions and voice and identify their emotions in real time. 【0660】 "Control of music and lighting based on information processing equipment" refers to a process that appropriately selects music and lighting according to the user's emotional state and performs controls to improve the user's psychological state. 【0661】 The system to realize this application consists of an information processing device that receives and analyzes the contents of a document, artificial intelligence that formats the structure and design of the document, an avatar-type artificial intelligence that performs a final check of the formatted document and provides feedback, an emotion recognition device that recognizes the user's emotions and optimizes the design of the document according to those emotions, and an information processing device that controls music and lighting based on the user's emotional state. 【0662】 The server performs real-time emotion analysis by running emotion recognition models using Python and TensorFlow. Specifically, it processes image data acquired from a camera device using OpenCV, analyzes facial expressions, and identifies emotions. Audio data is also sent to the server via a microphone, and speech recognition technology is used to determine emotional states such as stress and tension. 【0663】 Natural language processing techniques are used to optimize the materials, analyzing the grammar and logical structure of text data using SpaCy and BERT models. Based on the analysis results, appropriate structure and design suggestions are automatically generated, and an avatar-type artificial intelligence provides final feedback. 【0664】 For example, if a user is preparing presentation materials at home, once the user uploads the materials to the server, the server immediately begins analyzing them. If the emotion recognition device detects that the user is feeling anxious, it may suggest changing the colors of the materials to calmer tones or play relaxing music. 【0665】 As an example of a prompt for a generative AI model, text such as, "I'm thinking of an application that formats presentation materials and suggests emotion-based feedback. What improvements do the materials need?" is used. This prompt functions as input to the generative AI model, and it is possible to obtain output results that improve the user experience. 【0666】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0667】 Step 1: 【0668】 The user uploads materials to the server using their device. The input at this stage consists of presentation materials created by the user, which will be the subject of subsequent analysis and optimization. The materials include both text data and graphics. 【0669】 Step 2: 【0670】 The server analyzes the uploaded data. First, it uses natural language processing techniques to analyze the structure of the text data, examining its grammar and logical flow. It then uses SpaCy and BERT models to extract important information and generate logical suggestions. The output includes the analyzed data and suggestions for optimizing its structure. 【0671】 Step 3: 【0672】 The server's emotion recognition system analyzes the user's emotional state using input from the terminal's camera and microphone. Image data from the camera is processed using OpenCV to recognize the user's facial expressions. Audio data is analyzed using speech recognition technology to identify the emotional state from the tone of voice. The output is metadata indicating the user's emotional state. 【0673】 Step 4: 【0674】 The server transforms the structural suggestions of the analyzed material into layout and color scheme suggestions optimized based on the user's emotional state. If tension is detected, calm colors and a simple layout are selected. This process is fed back to the generative AI model as prompts to obtain the optimal output. 【0675】 Step 5: 【0676】 Based on the initial proposal, the server uses an avatar-type artificial intelligence to perform a final check on the consistency and readability of the document. The input here is the updated draft document based on emotion recognition, and the output is detailed feedback comments and suggested adjustments as needed. 【0677】 Step 6: 【0678】 The user is presented with final feedback and the completed version of the materials. The device also offers suggestions for music and lighting, allowing the user to choose what they want to use while preparing the materials. This creates a comfortable environment. 【0679】 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. 【0680】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0681】 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. 【0682】 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. 【0683】 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. 【0684】 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. 【0685】 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. 【0686】 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. 【0687】 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." 【0688】 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. 【0689】 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. 【0690】 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. 【0691】 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. 【0692】 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. 【0693】 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. 【0694】 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. 【0695】 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. 【0696】 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. 【0697】 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. 【0698】 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. 【0699】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference. 【0700】 The following is further disclosed regarding the embodiments described above. 【0701】 (Claim 1) 【0702】 Information processing device means for receiving data and analyzing its contents, 【0703】 An artificial intelligence means that automatically formats the structure and design of a document based on the analyzed content, 【0704】 An avatar-type artificial intelligence tool that performs a final check of formatted documents and provides feedback, 【0705】 A system that includes this. 【0706】 (Claim 2) 【0707】 The information processing device according to claim 1, which evaluates the readability of formatted documents and generates improvement suggestions based on specific criteria. 【0708】 (Claim 3) 【0709】 The information processing device according to claim 1, which evaluates the consistency and format of a document and performs automatic corrections to improve the quality of the document. 【0710】 "Example 1" 【0711】 (Claim 1) 【0712】 An information processing device that receives information and analyzes its contents using natural language processing technology, 【0713】 An artificial intelligence method that optimizes the structure of the document and unifies its visual elements based on the analyzed content, 【0714】 A device and means that uses an avatar-type artificial intelligence to perform a final evaluation of formatted materials and provide feedback to the user, 【0715】 A system that includes this. 【0716】 (Claim 2) 【0717】 The information processing apparatus according to claim 1, which generates suggestions to improve the section order and font consistency of formatted materials, thereby enhancing the information transmission effect. 【0718】 (Claim 3) 【0719】 The information processing device according to claim 1, which extracts the context and important elements of a document and performs automated processing to improve the readability and consistency of the document. 【0720】 "Application Example 1" 【0721】 (Claim 1) 【0722】 Information processing device means for receiving data and analyzing its contents, 【0723】 An artificial intelligence means that automatically formats the structure and design of a document based on the analyzed content, 【0724】 An avatar-type artificial intelligence tool that performs a final check of formatted documents and provides feedback, 【0725】 A consumer electronic device that visually and aurally evaluates data input from a user terminal and provides improvement suggestions via voice and display, 【0726】 A system that includes this. 【0727】 (Claim 2) 【0728】 The information processing device according to claim 1, which evaluates the readability of formatted documents and generates improvement suggestions based on specific criteria. 【0729】 (Claim 3) 【0730】 The information processing device according to claim 1, which evaluates the consistency and format of a document and performs automatic corrections to improve the quality of the document. 【0731】 "Example 2 of combining an emotion engine" 【0732】 (Claim 1) 【0733】 A data processing means that receives data and analyzes its contents, 【0734】 An intelligent processing means that automatically optimizes the logical structure and design of the document based on the analyzed content, 【0735】 An emotion recognition method that recognizes the user's emotional state in real time through the terminal and reflects it in suggestions for formatting the document, 【0736】 An avatar-type intelligent processing system that performs a final check of formatted documents and provides feedback, 【0737】 An information processing system that includes this. 【0738】 (Claim 2) 【0739】 The information processing system according to claim 1, comprising data processing means for evaluating the readability of formatted documents and generating improvement suggestions based on specific criteria. 【0740】 (Claim 3) 【0741】 The information processing system according to claim 1, which includes data processing means for evaluating the consistency and format of materials and performing automatic corrections to improve the quality of the materials. 【0742】 "Application example 2 when combining with an emotional engine" 【0743】 (Claim 1) 【0744】 Information processing device means for receiving data and analyzing its contents, 【0745】 An artificial intelligence means that automatically formats the structure and design of a document based on the analyzed content, 【0746】 An avatar-type artificial intelligence tool that performs a final check of formatted documents and provides feedback, 【0747】 An emotion recognition device means that recognizes the user's emotions and optimizes the design of materials according to those emotions, 【0748】 An information processing device that controls relaxing music and lighting based on the user's emotional state, 【0749】 A system that includes this. 【0750】 (Claim 2) 【0751】 The information processing device according to claim 1, which evaluates the readability of formatted documents and generates improvement suggestions based on specific criteria. 【0752】 (Claim 3) 【0753】 The information processing device according to claim 1, which evaluates the consistency and format of a document and performs automatic corrections to improve the quality of the document. [Explanation of Symbols] 【0754】 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] Information processing device means for receiving data and analyzing its contents, An artificial intelligence means that automatically formats the structure and design of a document based on the analyzed content, An avatar-type artificial intelligence tool that performs a final check of formatted documents and provides feedback, A system that includes this. [Claim 2] The information processing device according to claim 1, which evaluates the readability of formatted documents and generates improvement suggestions based on specific criteria. [Claim 3] The information processing device according to claim 1, which evaluates the consistency and format of a document and performs automatic corrections to improve the quality of the document.

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