system

Abstract

We provide the system. [Solution] An information processing device includes means for analyzing input data and automatically generating data based on said data, A means to automatically adjust the layout of the generated documents, A means of analyzing user speech and providing feedback for speech practice, A means for generating a list of anticipated questions based on audience attributes, 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 in 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】 2] 【0004】 Conventional processes for document creation and presentation preparation require manual data collation and layout adjustment, which pose problems of requiring a great deal of time and labor. In addition, due to limited means for prior preparation to improve the quality of presentations and predicting the audience's reaction, effective presentations are difficult. Furthermore, there is also a problem that it is impossible to quickly respond when new information is needed during a presentation. 【Means for Solving the Problems】 【0005】 This invention provides means for analyzing input data and automatically generating materials based on that data, thereby enabling users to efficiently create materials based on the information they need. Furthermore, means for automatically adjusting the layout of the generated materials make it easy to achieve a more professional appearance. In addition, means for analyzing user speech and providing feedback for speech practice enable users to improve their presentation skills. Means for generating a list of anticipated questions based on audience attributes allow presenters to prepare effectively in advance. In this way, the system provides the ability to quickly respond to sudden information changes by updating data in real time and regenerating materials based on the updated data. 【0006】 An "information processing device" is a general term for an electronic device that has the functions of inputting, processing, storing, and outputting data. 【0007】 "Data analysis" is the process of processing input data according to a specific purpose and extracting meaningful information from it. 【0008】 "Document generation" is the process of presenting information in the form of reports, slides, and other formats based on analyzed data. 【0009】 "Layout adjustment" is the process of optimizing the arrangement and design of materials to improve the visibility of information. 【0010】 "Speech practice feedback" refers to providing information and advice to evaluate the user's speaking performance and point out areas for improvement. 【0011】 "Audience attributes" refer to characteristics such as the age, occupation, and interests of the people receiving the presentation. 【0012】 "Question list generation" is the process of creating a list of anticipated questions and providing information to help prepare for those questions. 【0013】 "Real-time updates" is a function that immediately reflects new information or changes in the system's data and documents. [Brief explanation of the drawing] 【0014】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, when an emotion engine is combined. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined. 【Embodiments for Carrying Out the Invention】 【0015】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0016】 First, the terms used in the following description will be explained. 【0017】 In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc. 【0018】 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. 【0019】 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. 【0020】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0021】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0022】 [First Embodiment] 【0023】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0024】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0025】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0026】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0027】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0028】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0029】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0030】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0031】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0032】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0033】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0034】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0035】 This invention relates to an information processing device for streamlining document creation and presentation preparation. A specific embodiment of this device consists of a series of processes involving a server, a terminal, and a user. 【0036】 The user first enters the necessary data into the terminal. The data varies depending on the presentation's purpose, but may include, for example, company sales data or market analysis information. Once the user has finished entering the data, the terminal sends it to the server. 【0037】 The server analyzes the received data using advanced algorithms. This analysis involves extracting statistical information based on numerical data and clustering key points based on the content of text data. Based on these analysis results, the server selects an appropriate document format from templates and automatically generates a presentation optimized for the user. 【0038】 The device provides the user with generated materials and enables automatic adjustment of layout and design. It also analyzes the user's speech to assist with presentation practice, providing suggestions for improvement and feedback. 【0039】 Users practice their speeches using the voice input function. The terminal's role in this process is to analyze the voice data, evaluate the speaking tempo and clarity of pronunciation, and suggest improvements. 【0040】 Furthermore, the server generates a list of anticipated questions based on audience attribute information. This allows users to prepare in advance for anticipated questions and deliver more effective presentations. 【0041】 If new information or changes are needed, the user updates the data as needed and sends it from their device to the server. The server immediately re-analyzes the material and provides the updated information back to the device, ensuring that the presentation materials are always up-to-date. 【0042】 In this way, the present invention provides a system that significantly improves the efficiency of document creation and presentation preparation, and enables the realization of high-quality output. 【0043】 The following describes the processing flow. 【0044】 Step 1: 【0045】 The user accesses the terminal and creates a new project. The user enters the necessary data using an input form, which includes numerical and text information. Once the input is complete, the terminal automatically checks for data integrity and ensures there are no errors. 【0046】 Step 2: 【0047】 The terminal sends user input data to the server. The data is encrypted for security purposes during transmission. 【0048】 Step 3: 【0049】 The server analyzes the received data. First, statistical analysis is performed, processing the numerical data. Next, the text data is clustered by category, and important points are extracted. 【0050】 Step 4: 【0051】 The server selects the appropriate template based on the analysis results and creates the document. Each section within the template is automatically populated with the corresponding data. 【0052】 Step 5: 【0053】 Documents generated from the server are sent to the terminal. After receiving the documents, the terminal automatically adjusts the layout and displays them to the user in an easy-to-read format. 【0054】 Step 6: 【0055】 The user starts speech practice mode on the device. The device receives the user's voice input, performs voice analysis, evaluates metrics such as tempo and pronunciation, and provides feedback. 【0056】 Step 7: 【0057】 The server references audience attribute information and generates a list of anticipated questions. The generated question list is sent to the terminal and provided to the user. 【0058】 Step 8: 【0059】 When a user updates data, the device sends that information back to the server. The server re-analyzes the data based on the new information, generates an updated version, and sends it back to the device. 【0060】 Step 9: 【0061】 The user performs a final check, and the device exports the document in the appropriate format. This completes the presentation preparation. 【0062】 (Example 1) 【0063】 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." 【0064】 In information processing, there is a need for technology that can effectively and efficiently analyze large amounts of data and automatically generate high-quality presentation materials in a short time. Furthermore, improving users' speaking abilities and optimizing the content of materials according to the audience are also important. However, performing these tasks manually requires a great deal of time and effort, and there is a lack of easily implementable methods. In response to this, the present invention aims to solve this problem by providing a system that integrates data analysis, material generation, and presentation preparation support. 【0065】 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. 【0066】 In this invention, the server includes means for receiving and analyzing data input via a terminal, means for automatically generating a document based on the analysis results and linking it with prompt text using a generation AI model, and means for automatically adjusting the visual display of the generated document. This makes it possible to easily process large amounts of data and efficiently generate high-quality presentation materials. It also supports users in practicing their speeches and optimizes content according to the attributes of the recipients. 【0067】 A "data processing device" refers to the entire system that analyzes input data and generates appropriate information based on the results. 【0068】 A "terminal" refers to a device that provides an interface for users to input data and send it to a server. 【0069】 "Analysis" refers to the process of interpreting the information contained in data based on a specific algorithm and extracting necessary statistical information and key points. 【0070】 A "generative AI model" refers to artificial intelligence technology that automatically generates documents based on input data and prompts, thereby assisting in the creation of document content. 【0071】 A "prompt statement" refers to a sentence that describes instructions or requests to be given to a generative AI model. 【0072】 "Automatic visual adjustment" refers to a function that automatically optimizes the layout and design of generated documents to make them easier to read. 【0073】 "Voice input" refers to a function that receives the user's speech as a digital signal and uses it for analysis. 【0074】 "Feedback" refers to advice on improvements and adjustments provided to the user based on the analysis results. 【0075】 "Attribute information" refers to characteristics and background information about the recipient, and is used to adjust the content of materials and predict questions. 【0076】 A "question list" refers to a compilation of anticipated questions from recipients, intended to assist with preparation. 【0077】 This invention relates to a system that efficiently analyzes data using an information processing device and automatically generates presentation materials. This system includes a series of processes involving a server, a terminal, and a user. 【0078】 Users use a terminal to input the information necessary for their presentation. This typically includes company sales data and market analysis information, often entered in Excel or CSV format. The terminal receives this data through an input interface and sends it to the server. 【0079】 The server analyzes the received data using advanced algorithms and generative AI models. Numerical data is analyzed using statistical tools to extract trends, and text data is analyzed using natural language processing techniques to highlight key points. Based on the analysis results, the server selects a template and automatically generates an appropriate document format. The generative AI model adjusts the structure and content of the proposed document in this process according to prompts. 【0080】 The device has a function that automatically adjusts the layout and visual display of generated materials, providing users with visually organized materials. It also supports users' speech practice using voice input functionality, analyzing their speech and providing feedback. This allows users to improve the quality of their presentations. 【0081】 For example, if a user is preparing a presentation on a company's annual sales report, the device sends sales data and market research results to the server, which analyzes this data and automatically generates slides that include sales trends and competitive analysis. An example of a prompt for the generating AI model would be, "Create a competitive analysis slide based on this year's sales data." 【0082】 In implementing this invention, hardware such as a terminal (personal computer, tablet, etc.) and a server (data analysis server) are required. The software used includes data analysis software, a generation AI model, and a voice analysis program. In this way, the present invention efficiently performs analysis of large amounts of data and generates materials, supporting the user's presentation preparation. 【0083】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0084】 Step 1: 【0085】 The user inputs the data necessary for the presentation via a terminal. This data mainly includes sales data and market analysis information, and is usually entered in Excel or CSV format. The terminal receives the entered data and checks for errors in the data format and content. Once the check is complete, the terminal organizes the data and prepares to send it to the server. 【0086】 Step 2: 【0087】 The terminal sends the organized data to the server. Upon receiving this data, the server begins analysis using a generative AI model. Specifically, it performs statistical analysis on numerical data to extract sales trends and changes in market share. Meanwhile, for text data, it uses natural language processing techniques to perform clustering by important keywords and themes. The analysis results are stored on the server as content necessary for presentation materials. 【0088】 Step 3: 【0089】 The server automatically generates optimal presentation materials based on the analysis results. This involves utilizing pre-prepared templates and using a generation AI model to reflect the document structure according to the prompts. The generated materials include graphs, tables, and text, in a visually easy-to-understand format. 【0090】 Step 4: 【0091】 The terminal receives the materials generated from the server and automatically adjusts the layout and visual display. It optimizes font size, adjusts color contrast, and places graphs to refine the final appearance of the materials. The adjusted materials are then provided to the user, who can review them and make any necessary adjustments. 【0092】 Step 5: 【0093】 Users practice their speeches using the voice input function of their device. The user's voice data is received by the device, and the server uses a voice analysis algorithm to evaluate the speaking tempo and clarity of pronunciation, providing feedback for improvement. Based on this feedback, users can improve the quality of their speeches. 【0094】 Step 6: 【0095】 The server generates a list of anticipated questions based on the recipient's attribute information. This allows users to anticipate questions during the presentation preparation phase and prepare their answers in advance. The generated question list is provided to the user and used as reference material. 【0096】 (Application Example 1) 【0097】 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." 【0098】 In today's information society, preparing documents and presentations has become increasingly complex, requiring users to efficiently handle large amounts of data. Furthermore, improving the quality of presentations requires refining the content of speech and preparing for appropriate questions. However, performing these tasks manually is time-consuming and labor-intensive, highlighting the need for efficient and effective methods. 【0099】 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. 【0100】 In this invention, the server includes means for analyzing input data and automatically generating materials based on said data, means for automatically adjusting the layout of the generated materials, and means for analyzing the user's speech using a speech recognition function and suggesting improvements regarding pronunciation and rhythm. This significantly improves the efficiency of material creation, supports the improvement of speech, and enables preparation for questions based on audience attributes. 【0101】 An "information processing device" is a device that analyzes input data and performs various automated processes based on the results. 【0102】 A "document" is a structure of information that is automatically generated based on input data, and it mainly takes the form of a presentation or report. 【0103】 "Layout" refers to the visual structure of a generated document, and involves adjustments to improve readability and the efficiency of information transmission. 【0104】 "User utterance" refers to the content of language spoken by a user, including pronunciation and phrasing. 【0105】 "Audience attributes" refer to the characteristics and profile information of those receiving the presentation or materials, including age, occupation, and area of ​​expertise. 【0106】 "Voice recognition functionality" is a technology that analyzes a user's voice as digital data, converts it into text data, and analyzes its characteristics. 【0107】 "Viewer profile information" refers to individual information about the people receiving the materials, including their attributes and areas of interest. 【0108】 A "question list" is a compilation of anticipated questions based on the content of the presentation. 【0109】 This system consists of an information processing unit, a user's terminal, and a server in the cloud. In this configuration, the user first inputs the necessary data using their terminal. This data includes numerical data and text information tailored to the purpose of the presentation. 【0110】 When a user inputs data, the terminal sends it to a server in the cloud. The server uses Python libraries such as NumPy and Pandas to analyze the numerical data and uses a generative AI model to cluster important points in the text data. Based on this analysis, the server uses Jinja2 to select an appropriate document format and automatically generate presentation materials. 【0111】 The generated materials are provided to the user on their device, allowing them to review and edit them as needed. The Google® Cloud Speech-to-Text API is used for speech recognition, analyzing the user's utterances and providing feedback on pronunciation and rhythm improvements. The server also automatically generates a list of anticipated questions based on the viewer's profile information. 【0112】 As a concrete example, consider a scenario that assists in preparing for an international online technology conference. Speakers input data related to their presentation into an app, and materials are automatically generated based on that input. Users then use the generated materials to prepare for their seminar and practice while receiving speech feedback from AI. Furthermore, it is used in the form of a prompt: "Imagine a smartphone app that helps you prepare an effective presentation for a conference. After inputting market analysis data, you explain the generated materials and receive feedback through voice analysis." 【0113】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0114】 Step 1: 【0115】 The user uses a terminal to input data for their presentation. This data includes numerical and textual information, forming the basis for subsequent analysis. The input data is then ready to be sent directly to the server. 【0116】 Step 2: 【0117】 The terminal sends the input data to a server in the cloud. The server receives this data and, for numerical data, performs analysis using Python libraries such as NumPy and Pandas. Specifically, it uses statistical methods to extract important trends and patterns from the data. 【0118】 Step 3: 【0119】 The server uses a generative AI model to cluster key points in the text data. This clarifies how the text content forms the main points of the presentation. The generated clusters form the basis for subsequent material generation. 【0120】 Step 4: 【0121】 The server uses the Jinja2 template engine to automatically generate optimal presentation materials based on the analysis results. Templates are pre-configured, and appropriate designs and structures are selected. The generated materials are then sent to the terminal. 【0122】 Step 5: 【0123】 The terminal presents the received documents to the user. The user can review the documents and edit them as needed. Editing is done through an interface that allows adjustment of the document's layout and content. 【0124】 Step 6: 【0125】 The user inputs speech, and the device analyzes the utterance using the Google Cloud Speech-to-Text API. The input speech data is converted into digital text, and the server further evaluates the pronunciation and rhythm. Based on this evaluation, the device provides the user with feedback suggesting improvements. 【0126】 Step 7: 【0127】 The server uses viewer profile information and automatically generates a list of anticipated questions through analysis by a generative AI model. The question list is constructed based on the presentation content and audience characteristics and is sent to the device. 【0128】 Step 8: 【0129】 Ultimately, users review the completed materials and question lists via their devices, preparing for seminars and presentations. During the preparation process, users can utilize the generated AI model and prompt text to conduct simulations and enhance the effectiveness of their presentations. 【0130】 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. 【0131】 This invention is a system that more effectively supports document creation and presentation preparation by combining an emotion engine with an information processing device. The user first accesses a terminal and inputs the data necessary for the presentation. The input data is then transmitted from the terminal to the server. 【0132】 The server analyzes the received data and automatically generates materials based on the information. Templates are used in this process, and important data is visualized in an appropriate format. In addition, the server uses an emotion engine. The emotion engine analyzes user input and voice data to estimate the user's emotional state. By adjusting the presentation materials based on this information, more interactive and engaging materials are generated. 【0133】 The device not only automatically adjusts the layout of the generated materials and presents them to the user, but also combines feedback from speech practice with the results of an emotion engine analysis. This provides feedback that is tailored to the user's feelings, helping them to build confidence through practice. 【0134】 As a concrete example, suppose a user is practicing a presentation speech. During this process, the device analyzes the user's facial expressions and tone of voice using an emotion engine, and if the user is nervous, it advises them on how to relax more. Furthermore, the content of the presentation materials is also fine-tuned in terms of color and layout according to the user's level of excitement, optimizing them to resonate with the audience's emotions. 【0135】 If new data or information is needed for the presentation, the user updates the data on their device. The device immediately sends this information to the server, and new materials are automatically generated and provided to the user. In this way, the present invention streamlines presentation preparation and provides high-quality output while taking into account the user's emotional state. 【0136】 The following describes the processing flow. 【0137】 Step 1: 【0138】 The user launches a dedicated application on their device and creates a new project. The user then enters the necessary data, such as sales information and market analysis results, into an input form. 【0139】 Step 2: 【0140】 The terminal converts the entered data into a database format and sends it to the server. At this time, it checks the data's integrity and notifies the user if there are any problems. 【0141】 Step 3: 【0142】 The server analyzes the received data, performing statistical processing on numerical data and content analysis on text data. This allows important information to be extracted. 【0143】 Step 4: 【0144】 Based on the analysis results, the server automatically generates presentation materials. The materials are constructed according to the selected template, and the data is visualized. 【0145】 Step 5: 【0146】 The server uses an emotion engine to analyze the user's emotional state. This information is obtained based on the user's past input data and voice feedback. 【0147】 Step 6: 【0148】 The server automatically adjusts the content and layout of materials based on the user's emotional state. For example, if the server detects that the user is feeling stressed, it adds design elements to the materials to alleviate that stress. 【0149】 Step 7: 【0150】 The generated document is sent to the terminal, which then displays the document to the user in an optimized layout. 【0151】 Step 8: 【0152】 When a user starts speech practice mode, the device receives the user's speech in real time and sends it to the server. 【0153】 Step 9: 【0154】 The server uses an emotion engine to analyze the user's emotions along with the speech audio, and generates feedback based on the results. 【0155】 Step 10: 【0156】 The device displays feedback on the screen that best matches the user's emotional state, providing the user with suggestions for improvement and supplementary information. 【0157】 Step 11: 【0158】 If changes or additions are needed to the presentation materials, the user updates the data on their device. The device sends this data to the server, which re-analyzes the materials, generates a newly adjusted version, and sends it back to the device. 【0159】 (Example 2) 【0160】 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." 【0161】 Modern presentation creation requires the efficient and effective integration of vast amounts of information to produce visually compelling materials. Furthermore, improving presentation quality necessitates not only general information processing but also an emotional approach. However, many current information processing systems fail to adequately consider the user's emotional state when providing feedback and adjusting materials, thus not fully meeting user needs. 【0162】 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. 【0163】 In this invention, the server includes means for analyzing input information and automatically generating materials based on said information, means for automatically adjusting the arrangement of the generated materials, and means for estimating the user's emotional state through information analysis and adaptively adjusting the materials. This enables the creation of presentations that take the user's emotional state into consideration and provides high-quality feedback. 【0164】 "Means of analyzing input information" refers to the process of analyzing the content of information obtained from users using appropriate data processing techniques and extracting necessary insights. 【0165】 "Methods for automatically generating documents" refers to a process that uses analyzed data to create documents tailored to a specific purpose, without human intervention, according to a particular template or algorithm. 【0166】 "Methods for automatically adjusting the layout of generated materials" refers to a process that automatically changes the visual layout of created materials to optimize them so that information is conveyed more effectively. 【0167】 "Means for estimating a user's emotional state through information analysis" refers to a process that uses an emotion engine to detect signs of emotion from the user's voice and input data, and to evaluate the user's psychological state. 【0168】 "Methods for adaptively adjusting materials" refers to the process of dynamically changing the content and design of materials to match the estimated emotional state of the user, thereby facilitating more effective communication. 【0169】 This invention is a system for an information processing device that integrates the processes of data input, analysis, document generation, sentiment analysis, and feedback provision. The user first accesses a terminal and inputs the information necessary for the presentation. For example, the user inputs numerical data and text information into a spreadsheet. 【0170】 The terminal sends this information to the server, which analyzes the received data. This analysis uses generative AI models that utilize data mining techniques and machine learning algorithms. Specific software examples include TENSORFLOW® and PyTorch. The server uses templates to automatically generate highly visualized materials. Furthermore, through information analysis, an emotion engine estimates the user's emotional state. Based on this information, the materials are interactively adjusted. 【0171】 Let's say a user is practicing a presentation speech. The device analyzes the user's voice tone and facial expressions using an emotion engine, and if it determines that the user is nervous, it provides voice advice to help them relax. By using speech synthesis technology such as Amazon Polly, natural-sounding feedback can be obtained. 【0172】 Prompts play a crucial role in the process of generating materials and providing emotional feedback. For example, a prompt might read, "Analyze the dataset used in the following presentation and suggest a material template tailored to the user's emotional state. Also, generate advice for the user to relax based on the emotional analysis results from their speech practice." 【0173】 This system takes into account the user's emotional state while supporting the creation of high-quality presentation materials and effective speech practice. 【0174】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0175】 Step 1: 【0176】 The user accesses the terminal and inputs the information necessary for the presentation. Specifically, the user enters text and numerical data for the presentation into a spreadsheet or text editor. The terminal converts the input data into a specific format (e.g., JSON format) and prepares it for transmission to the server. The input content is the basic data necessary for generating the materials, and the output is the formatted data sent to the server. 【0177】 Step 2: 【0178】 The terminal sends formatted data to the server. The server receives the data and begins analyzing it using a generative AI model. This analysis uses data mining techniques and machine learning algorithms to extract and classify data elements. The input is the data sent from the terminal, and the output is a document template generated based on the analysis results. 【0179】 Step 3: 【0180】 The server uses an emotion engine to analyze user input data and, if necessary, voice data. This analysis estimates the user's emotional state. The emotion engine utilizes voice recognition software and facial expression analysis technology to detect emotions such as tension. The input is the user's voice and data, and the output is information about the estimated emotional state. 【0181】 Step 4: 【0182】 The server adjusts the content and design of the generated materials based on the acquired emotional state information. For example, if the user is feeling anxious, it may change the color scheme of the materials to a more calming one. The output is the final version of the material adapted to the emotional state. 【0183】 Step 5: 【0184】 The terminal displays the final version of the material received from the server. It also provides feedback using the results of an emotion engine to assist the user in practicing their speech. The terminal uses speech synthesis technology to deliver voice advice to the user, such as "Please relax." The input consists of the final version of the material and the emotion analysis results, while the output is visual and auditory feedback. 【0185】 (Application Example 2) 【0186】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0187】 Information processing systems are required to efficiently generate reports while considering user emotions and to effectively support user speech training. Since current technologies are insufficient to address these challenges, the development of more interactive and adaptable systems is necessary. 【0188】 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. In this invention, the server includes means for analyzing input information and automatically generating a report based on said information, means for automatically adjusting the arrangement of the generated report, and means for estimating the user's emotional state and adjusting the content of the report based on that state. This makes it possible to adjust materials and provide feedback in real time based on emotions. 【0189】 An "information processing device" is a device that analyzes input information and performs various processes based on that information. 【0190】 A "report" is a document or a collection of formalized information generated based on analyzed data and provided to the user. 【0191】 "Arrangement" refers to the visual or physical arrangement of elements within a generated report. 【0192】 A "user" is an entity that operates an information processing device, inputs information, and receives feedback. 【0193】 "Emotional state" refers to the mental and emotional state estimated by analyzing the user's internal emotional tendencies and facial expressions. 【0194】 "Real-time" refers to the characteristic of being able to react immediately to events that occur and to process or output information instantly. 【0195】 "Feedback" refers to evaluations and advice given regarding a user's behavior and speech. 【0196】 This invention consists of three main elements: a server that functions as an information processing device, a terminal for the user to input information, and the user themselves. The server analyzes the received information and automatically generates a report. For the analysis, it uses natural language processing libraries and sentiment analysis models as software for speech recognition and sentiment analysis. Specifically, it uses the Google Speech-to-Text API for speech recognition and a combination of OpenCV and the VGG-Face model for sentiment analysis. 【0197】 The server dynamically adjusts the content of the generated report according to the user's emotions. This allows the report and its presentation to better suit the user and provide an interactive experience. In this process, a generative AI model is used to adjust the report template and determine the optimal style and content that matches the user's mental state. 【0198】 Users can easily use a device at home to perform voice input. The device sends the input information to a server for immediate analysis and data generation. The device also provides visual or audio feedback to the user of the generated data to support their training. As an example of how to provide real-time responses and feedback, the following prompt statements can be used. 【0199】 Example of a prompt: 【0200】 "Please propose a detailed presentation structure for users to effectively communicate the results of new products in internal meetings, and provide real-time feedback as needed." 【0201】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0202】 Step 1: 【0203】 The user inputs voice data into the terminal. This voice data is then transmitted to the server by the terminal. The input is the voice information spoken by the user, and the output is voice data in digital format. 【0204】 Step 2: 【0205】 The server converts the received audio data into text using a speech recognition API. In this case, the Google Speech-to-Text API is used. The input is digital audio data, and the output is text data. 【0206】 Step 3: 【0207】 The server analyzes text data using a natural language processing library and extracts the necessary information. The input is speech-recognized text data, and the output is structured information. 【0208】 Step 4: 【0209】 The server uses an emotion analysis model to estimate the user's emotional state from speech and text. The input consists of speech and text data, and the output is data representing the estimated emotional state. Specifically, it uses a combination of OpenCV and the VGG-Face model. 【0210】 Step 5: 【0211】 The server uses a generative AI model to generate reports based on extracted information and emotional states. The input is structured information and emotional states, and the output is a dynamically adjusted report. 【0212】 Step 6: 【0213】 The server sends the generated report to the terminal, which then presents it to the user in visual or audio format. The input is the generated report, and the output is the information presented to the user. 【0214】 Step 7: 【0215】 Users review the feedback reports they receive and, if necessary, input any corrections into their devices using voice input. This process takes place in real time, allowing users to immediately reflect the effectiveness of their training. 【0216】 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. 【0217】 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. 【0218】 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. 【0219】 [Second Embodiment] 【0220】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0221】 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. 【0222】 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). 【0223】 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. 【0224】 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. 【0225】 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). 【0226】 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. 【0227】 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. 【0228】 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. 【0229】 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. 【0230】 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. 【0231】 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". 【0232】 This invention relates to an information processing device for streamlining document creation and presentation preparation. A specific embodiment of this device consists of a series of processes involving a server, a terminal, and a user. 【0233】 The user first enters the necessary data into the terminal. The data varies depending on the presentation's purpose, but may include, for example, company sales data or market analysis information. Once the user has finished entering the data, the terminal sends it to the server. 【0234】 The server analyzes the received data using advanced algorithms. This analysis involves extracting statistical information based on numerical data and clustering key points based on the content of text data. Based on these analysis results, the server selects an appropriate document format from templates and automatically generates a presentation optimized for the user. 【0235】 The device provides the user with generated materials and enables automatic adjustment of layout and design. It also analyzes the user's speech to assist with presentation practice, providing suggestions for improvement and feedback. 【0236】 Users practice their speeches using the voice input function. The terminal's role in this process is to analyze the voice data, evaluate the speaking tempo and clarity of pronunciation, and suggest improvements. 【0237】 Furthermore, the server generates a list of anticipated questions based on audience attribute information. This allows users to prepare in advance for anticipated questions and deliver more effective presentations. 【0238】 If new information or changes are needed, the user updates the data as needed and sends it from their device to the server. The server immediately re-analyzes the material and provides the updated information back to the device, ensuring that the presentation materials are always up-to-date. 【0239】 In this way, the present invention provides a system that significantly improves the efficiency of document creation and presentation preparation, and enables the realization of high-quality output. 【0240】 The following describes the processing flow. 【0241】 Step 1: 【0242】 The user accesses the terminal and creates a new project. The user enters the necessary data using an input form, which includes numerical and text information. Once the input is complete, the terminal automatically checks for data integrity and ensures there are no errors. 【0243】 Step 2: 【0244】 The terminal sends user input data to the server. The data is encrypted for security purposes during transmission. 【0245】 Step 3: 【0246】 The server analyzes the received data. First, statistical analysis is performed, processing the numerical data. Next, the text data is clustered by category, and important points are extracted. 【0247】 Step 4: 【0248】 The server selects the appropriate template based on the analysis results and creates the document. Each section within the template is automatically populated with the corresponding data. 【0249】 Step 5: 【0250】 Documents generated from the server are sent to the terminal. After receiving the documents, the terminal automatically adjusts the layout and displays them to the user in an easy-to-read format. 【0251】 Step 6: 【0252】 The user starts speech practice mode on the device. The device receives the user's voice input, performs voice analysis, evaluates metrics such as tempo and pronunciation, and provides feedback. 【0253】 Step 7: 【0254】 The server references audience attribute information and generates a list of anticipated questions. The generated question list is sent to the terminal and provided to the user. 【0255】 Step 8: 【0256】 When a user updates data, the device sends that information back to the server. The server re-analyzes the data based on the new information, generates an updated version, and sends it back to the device. 【0257】 Step 9: 【0258】 The user performs a final check, and the device exports the document in the appropriate format. This completes the presentation preparation. 【0259】 (Example 1) 【0260】 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." 【0261】 In information processing, there is a need for technology that can effectively and efficiently analyze large amounts of data and automatically generate high-quality presentation materials in a short time. Furthermore, improving users' speaking abilities and optimizing the content of materials according to the audience are also important. However, performing these tasks manually requires a great deal of time and effort, and there is a lack of easily implementable methods. In response to this, the present invention aims to solve this problem by providing a system that integrates data analysis, material generation, and presentation preparation support. 【0262】 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. 【0263】 In this invention, the server includes means for receiving and analyzing data input via a terminal, means for automatically generating a document based on the analysis results and linking it with prompt text using a generation AI model, and means for automatically adjusting the visual display of the generated document. This makes it possible to easily process large amounts of data and efficiently generate high-quality presentation materials. It also supports users in practicing their speeches and optimizes content according to the attributes of the recipients. 【0264】 A "data processing device" refers to the entire system that analyzes input data and generates appropriate information based on the results. 【0265】 A "terminal" refers to a device that provides an interface for users to input data and send it to a server. 【0266】 "Analysis" refers to the process of interpreting the information contained in data based on a specific algorithm and extracting necessary statistical information and key points. 【0267】 A "generative AI model" refers to artificial intelligence technology that automatically generates documents based on input data and prompts, thereby assisting in the creation of document content. 【0268】 A "prompt statement" refers to a sentence that describes instructions or requests to be given to a generative AI model. 【0269】 "Automatic visual adjustment" refers to a function that automatically optimizes the layout and design of generated documents to make them easier to read. 【0270】 "Voice input" refers to a function that receives the user's speech as a digital signal and uses it for analysis. 【0271】 "Feedback" refers to advice on improvements and adjustments provided to the user based on the analysis results. 【0272】 "Attribute information" refers to characteristics and background information about the recipient, and is used to adjust the content of materials and predict questions. 【0273】 A "question list" refers to a compilation of anticipated questions from recipients, intended to assist with preparation. 【0274】 This invention relates to a system that efficiently analyzes data using an information processing device and automatically generates presentation materials. This system includes a series of processes involving a server, a terminal, and a user. 【0275】 Users use a terminal to input the information necessary for their presentation. This typically includes company sales data and market analysis information, often entered in Excel or CSV format. The terminal receives this data through an input interface and sends it to the server. 【0276】 The server analyzes the received data using advanced algorithms and generative AI models. Numerical data is analyzed using statistical tools to extract trends, and text data is analyzed using natural language processing techniques to highlight key points. Based on the analysis results, the server selects a template and automatically generates an appropriate document format. The generative AI model adjusts the structure and content of the proposed document in this process according to prompts. 【0277】 The device has a function that automatically adjusts the layout and visual display of generated materials, providing users with visually organized materials. It also supports users' speech practice using voice input functionality, analyzing their speech and providing feedback. This allows users to improve the quality of their presentations. 【0278】 As a specific example, when a user prepares a presentation on the theme of a company's annual sales report, the terminal transmits sales data and market research results to the server, and the server analyzes this data to automatically generate slides including sales trends and competitive analysis. An example of a prompt sentence for the generation AI model could be "Create a competitive analysis slide based on this year's sales data." 【0279】 In the implementation of the present invention, a terminal (personal computer, tablet, etc.) as hardware and a server (data analysis server) are required. The software to be used includes data analysis software, a generation AI model, a voice analysis program, etc. Thus, the present invention efficiently performs the analysis of large-capacity data and the generation of materials, and supports the user's presentation preparation. 【0280】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0281】 Step 1: 【0282】 The user inputs the data required for the presentation via the terminal. This data mainly includes sales data and market analysis information, and is usually input in Excel or CSV format. The terminal receives the input data and checks whether there are any errors in the data format and content. When the check is completed, the terminal prepares to sort the data and transmit it to the server. 【0283】 Step 2: 【0284】 The terminal transmits the sorted data to the server. When the server receives this data, it starts analysis using the generation AI model. Specifically, it performs statistical analysis of numerical data and extracts sales trends and changes in market share. On the other hand, for text data, natural language processing technology is used to perform important keyword and topic-based clustering. The analysis results are stored in the server as the content required for the presentation materials. 【0285】 Step 3: 【0286】 Based on the analysis results, the server automatically generates optimal presentation materials. This includes specific operations such as utilizing a pre-prepared template and using a generation AI model to reflect the material composition according to the prompt text. The generated materials include graphs, tables, and text, and are in a visually easy-to-understand format. 【0287】 Step 4: 【0288】 The terminal receives the materials generated by the server and automatically adjusts the layout and visual display. Operations are performed to finalize the appearance of the materials, such as optimizing the font size, adjusting the color contrast, and arranging the graphs. The adjusted materials are provided to the user, who can finally check the materials and make fine adjustments as needed. 【0289】 Step 5: 【0290】 The user utilizes the voice input function of the terminal to practice speech. The user's voice data is received by the terminal, and the server uses a voice analysis algorithm to evaluate the tempo of the speaking style and the clarity of pronunciation, and provides feedback for improvement. Based on this feedback, the user can improve the quality of the speech. 【0291】 Step 6: 【0292】 The server generates an assumed question list based on the recipient's attribute information. This enables the user to anticipate the questions expected during the presentation preparation stage and proceed with preparing the answers. The generated question list is provided to the user and utilized as a reference material for the user. 【0293】 (Application Example 1) 【0294】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0295】 In today's information society, preparing documents and presentations has become increasingly complex, requiring users to efficiently handle large amounts of data. Furthermore, improving the quality of presentations requires refining the content of speech and preparing for appropriate questions. However, performing these tasks manually is time-consuming and labor-intensive, highlighting the need for efficient and effective methods. 【0296】 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. 【0297】 In this invention, the server includes means for analyzing input data and automatically generating materials based on said data, means for automatically adjusting the layout of the generated materials, and means for analyzing the user's speech using a speech recognition function and suggesting improvements regarding pronunciation and rhythm. This significantly improves the efficiency of material creation, supports the improvement of speech, and enables preparation for questions based on audience attributes. 【0298】 An "information processing device" is a device that analyzes input data and performs various automated processes based on the results. 【0299】 A "document" is a structure of information that is automatically generated based on input data, and it mainly takes the form of a presentation or report. 【0300】 "Layout" refers to the visual structure of a generated document, and involves adjustments to improve readability and the efficiency of information transmission. 【0301】 "User utterance" refers to the content of language spoken by a user, including pronunciation and phrasing. 【0302】 "Audience attributes" refer to the characteristics and profile information of those receiving the presentation or materials, including age, occupation, and area of ​​expertise. 【0303】 The "voice recognition function" is a technology that analyzes the user's voice as digital data, converts it into text data, or analyzes its features. 【0304】 The "viewer profile information" refers to the individual information of the people who receive the materials, including their attributes and fields of interest. 【0305】 The "question list" is a compilation of questions assumed based on the content of the presentation, presented in a list. 【0306】 This system is composed of an information processing device, the user's terminal, and a server on the cloud. In this form, first, the user inputs the necessary data using their own terminal. This data includes numerical data and text information according to the purpose of the presentation. 【0307】 When the user inputs data, the terminal sends it to the server on the cloud. The server analyzes the numerical data using NumPy and Pandas, which are Python libraries, and clusters the important points of the text data using a generated AI model. Based on this analysis, the server selects an appropriate material format using Jinja2 and automatically generates presentation materials. 【0308】 The generated materials are provided to the user on the terminal, and the user can view and edit them as necessary. Google Cloud Speech-to-Text API is used for voice recognition to analyze the user's speech and provide feedback on pronunciation and rhythm improvement suggestions. Also, the server automatically generates an assumed question list based on the viewer profile information. 【0309】 As a concrete example, consider a scenario that assists in preparing for an international online technology conference. Speakers input data related to their presentation into an app, and materials are automatically generated based on that input. Users then use the generated materials to prepare for their seminar and practice while receiving speech feedback from AI. Furthermore, it is used in the form of a prompt: "Imagine a smartphone app that helps you prepare an effective presentation for a conference. After inputting market analysis data, you explain the generated materials and receive feedback through voice analysis." 【0310】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0311】 Step 1: 【0312】 The user uses a terminal to input data for their presentation. This data includes numerical and textual information, forming the basis for subsequent analysis. The input data is then ready to be sent directly to the server. 【0313】 Step 2: 【0314】 The terminal sends the input data to a server in the cloud. The server receives this data and, for numerical data, performs analysis using Python libraries such as NumPy and Pandas. Specifically, it uses statistical methods to extract important trends and patterns from the data. 【0315】 Step 3: 【0316】 The server uses a generative AI model to cluster key points in the text data. This clarifies how the text content forms the main points of the presentation. The generated clusters form the basis for subsequent material generation. 【0317】 Step 4: 【0318】 The server uses the Jinja2 template engine to automatically generate optimal presentation materials based on the analysis results. Templates are pre-configured, and appropriate designs and structures are selected. The generated materials are then sent to the terminal. 【0319】 Step 5: 【0320】 The terminal presents the received documents to the user. The user can review the documents and edit them as needed. Editing is done through an interface that allows adjustment of the document's layout and content. 【0321】 Step 6: 【0322】 The user inputs speech, and the device analyzes the utterance using the Google Cloud Speech-to-Text API. The input speech data is converted into digital text, and the server further evaluates the pronunciation and rhythm. Based on this evaluation, the device provides the user with feedback suggesting improvements. 【0323】 Step 7: 【0324】 The server uses viewer profile information and automatically generates a list of anticipated questions through analysis by a generative AI model. The question list is constructed based on the presentation content and audience characteristics and is sent to the device. 【0325】 Step 8: 【0326】 Ultimately, users review the completed materials and question lists via their devices, preparing for seminars and presentations. During the preparation process, users can utilize the generated AI model and prompt text to conduct simulations and enhance the effectiveness of their presentations. 【0327】 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. 【0328】 This invention is a system that more effectively supports document creation and presentation preparation by combining an emotion engine with an information processing device. The user first accesses a terminal and inputs the data necessary for the presentation. The input data is then transmitted from the terminal to the server. 【0329】 The server analyzes the received data and automatically generates materials based on the information. Templates are used in this process, and important data is visualized in an appropriate format. In addition, the server uses an emotion engine. The emotion engine analyzes user input and voice data to estimate the user's emotional state. By adjusting the presentation materials based on this information, more interactive and engaging materials are generated. 【0330】 The device not only automatically adjusts the layout of the generated materials and presents them to the user, but also combines feedback from speech practice with the results of an emotion engine analysis. This provides feedback that is tailored to the user's feelings, helping them to build confidence through practice. 【0331】 As a concrete example, suppose a user is practicing a presentation speech. During this process, the device analyzes the user's facial expressions and tone of voice using an emotion engine, and if the user is nervous, it advises them on how to relax more. Furthermore, the content of the presentation materials is also fine-tuned in terms of color and layout according to the user's level of excitement, optimizing them to resonate with the audience's emotions. 【0332】 If new data or information is needed for the presentation, the user updates the data on their device. The device immediately sends this information to the server, and new materials are automatically generated and provided to the user. In this way, the present invention streamlines presentation preparation and provides high-quality output while taking into account the user's emotional state. 【0333】 The following describes the processing flow. 【0334】 Step 1: 【0335】 The user launches a dedicated application on their device and creates a new project. The user then enters the necessary data, such as sales information and market analysis results, into an input form. 【0336】 Step 2: 【0337】 The terminal converts the entered data into a database format and sends it to the server. At this time, it checks the data's integrity and notifies the user if there are any problems. 【0338】 Step 3: 【0339】 The server analyzes the received data, performing statistical processing on numerical data and content analysis on text data. This allows important information to be extracted. 【0340】 Step 4: 【0341】 Based on the analysis results, the server automatically generates presentation materials. The materials are constructed according to the selected template, and the data is visualized. 【0342】 Step 5: 【0343】 The server uses an emotion engine to analyze the user's emotional state. This information is obtained based on the user's past input data and voice feedback. 【0344】 Step 6: 【0345】 The server automatically adjusts the content and layout of materials based on the user's emotional state. For example, if the server detects that the user is feeling stressed, it adds design elements to the materials to alleviate that stress. 【0346】 Step 7: 【0347】 The generated document is sent to the terminal, which then displays the document to the user in an optimized layout. 【0348】 Step 8: 【0349】 When a user starts speech practice mode, the device receives the user's speech in real time and sends it to the server. 【0350】 Step 9: 【0351】 The server uses an emotion engine to analyze the user's emotions along with the speech audio, and generates feedback based on the results. 【0352】 Step 10: 【0353】 The device displays feedback on the screen that best matches the user's emotional state, providing the user with suggestions for improvement and supplementary information. 【0354】 Step 11: 【0355】 If changes or additions are needed to the presentation materials, the user updates the data on their device. The device sends this data to the server, which re-analyzes the materials, generates a newly adjusted version, and sends it back to the device. 【0356】 (Example 2) 【0357】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0358】 Modern presentation creation requires the efficient and effective integration of vast amounts of information to produce visually compelling materials. Furthermore, improving presentation quality necessitates not only general information processing but also an emotional approach. However, many current information processing systems fail to adequately consider the user's emotional state when providing feedback and adjusting materials, thus not fully meeting user needs. 【0359】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0360】 In this invention, the server includes means for analyzing input information and automatically generating materials based on said information, means for automatically adjusting the arrangement of the generated materials, and means for estimating the user's emotional state through information analysis and adaptively adjusting the materials. This enables the creation of presentations that take the user's emotional state into consideration and provides high-quality feedback. 【0361】 "Means of analyzing input information" refers to the process of analyzing the content of information obtained from users using appropriate data processing techniques and extracting necessary insights. 【0362】 "Methods for automatically generating documents" refers to a process that uses analyzed data to create documents tailored to a specific purpose, without human intervention, according to a particular template or algorithm. 【0363】 "Methods for automatically adjusting the layout of generated materials" refers to a process that automatically changes the visual layout of created materials to optimize them so that information is conveyed more effectively. 【0364】 "Means for estimating a user's emotional state through information analysis" refers to a process that uses an emotion engine to detect signs of emotion from the user's voice and input data, and to evaluate the user's psychological state. 【0365】 "Methods for adaptively adjusting materials" refers to the process of dynamically changing the content and design of materials to match the estimated emotional state of the user, thereby facilitating more effective communication. 【0366】 This invention is a system for an information processing device that integrates the processes of data input, analysis, document generation, sentiment analysis, and feedback provision. The user first accesses a terminal and inputs the information necessary for the presentation. For example, the user inputs numerical data and text information into a spreadsheet. 【0367】 The device sends this information to the server, which then analyzes the received data. This analysis utilizes generative AI models employing data mining techniques and machine learning algorithms. Specific software examples include TensorFlow and PyTorch. The server uses templates to automatically generate highly visualized materials. Furthermore, through information analysis, an emotion engine estimates the user's emotional state. This information is then used to interactively adjust the materials. 【0368】 Let's say a user is practicing a presentation speech. The device analyzes the user's voice tone and facial expressions using an emotion engine, and if it determines that the user is nervous, it provides voice advice to help them relax. By using speech synthesis technology such as Amazon Polly, natural-sounding feedback can be obtained. 【0369】 Prompts play a crucial role in the process of generating materials and providing emotional feedback. For example, a prompt might read, "Analyze the dataset used in the following presentation and suggest a material template tailored to the user's emotional state. Also, generate advice for the user to relax based on the emotional analysis results from their speech practice." 【0370】 This system takes into account the user's emotional state while supporting the creation of high-quality presentation materials and effective speech practice. 【0371】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0372】 Step 1: 【0373】 The user accesses the terminal and inputs the information necessary for the presentation. Specifically, the user enters text and numerical data for the presentation into a spreadsheet or text editor. The terminal converts the input data into a specific format (e.g., JSON format) and prepares it for transmission to the server. The input content is the basic data necessary for generating the materials, and the output is the formatted data sent to the server. 【0374】 Step 2: 【0375】 The terminal sends formatted data to the server. The server receives the data and begins analyzing it using a generative AI model. This analysis uses data mining techniques and machine learning algorithms to extract and classify data elements. The input is the data sent from the terminal, and the output is a document template generated based on the analysis results. 【0376】 Step 3: 【0377】 The server uses an emotion engine to analyze user input data and, if necessary, voice data. This analysis estimates the user's emotional state. The emotion engine utilizes voice recognition software and facial expression analysis technology to detect emotions such as tension. The input is the user's voice and data, and the output is information about the estimated emotional state. 【0378】 Step 4: 【0379】 The server adjusts the content and design of the generated materials based on the acquired emotional state information. For example, if the user is feeling anxious, it may change the color scheme of the materials to a more calming one. The output is the final version of the material adapted to the emotional state. 【0380】 Step 5: 【0381】 The terminal displays the final version of the material received from the server. It also provides feedback using the results of an emotion engine to assist the user in practicing their speech. The terminal uses speech synthesis technology to deliver voice advice to the user, such as "Please relax." The input consists of the final version of the material and the emotion analysis results, while the output is visual and auditory feedback. 【0382】 (Application Example 2) 【0383】 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." 【0384】 Information processing systems are required to efficiently generate reports while considering user emotions and to effectively support user speech training. Since current technologies are insufficient to address these challenges, the development of more interactive and adaptable systems is necessary. 【0385】 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. In this invention, the server includes means for analyzing input information and automatically generating a report based on said information, means for automatically adjusting the arrangement of the generated report, and means for estimating the user's emotional state and adjusting the content of the report based on that state. This makes it possible to adjust materials and provide feedback in real time based on emotions. 【0386】 An "information processing device" is a device that analyzes input information and performs various processes based on that information. 【0387】 A "report" is a document or a collection of formalized information generated based on analyzed data and provided to the user. 【0388】 "Arrangement" refers to the visual or physical arrangement of elements within a generated report. 【0389】 A "user" is an entity that operates an information processing device, inputs information, and receives feedback. 【0390】 "Emotional state" refers to the mental and emotional state estimated by analyzing the user's internal emotional tendencies and facial expressions. 【0391】 "Real-time" refers to the characteristic of being able to react immediately to events that occur and to process or output information instantly. 【0392】 "Feedback" refers to evaluations and advice given regarding a user's behavior and speech. 【0393】 This invention consists of three main elements: a server that functions as an information processing device, a terminal for the user to input information, and the user themselves. The server analyzes the received information and automatically generates a report. For the analysis, it uses natural language processing libraries and sentiment analysis models as software for speech recognition and sentiment analysis. Specifically, it uses the Google Speech-to-Text API for speech recognition and a combination of OpenCV and the VGG-Face model for sentiment analysis. 【0394】 The server dynamically adjusts the content of the generated report according to the user's emotions. This allows the report and its presentation to better suit the user and provide an interactive experience. In this process, a generative AI model is used to adjust the report template and determine the optimal style and content that matches the user's mental state. 【0395】 Users can easily use a device at home to perform voice input. The device sends the input information to a server for immediate analysis and data generation. The device also provides visual or audio feedback to the user of the generated data to support their training. As an example of how to provide real-time responses and feedback, the following prompt statements can be used. 【0396】 Example of a prompt: 【0397】 "Please propose a detailed presentation structure for users to effectively communicate the results of new products in internal meetings, and provide real-time feedback as needed." 【0398】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0399】 Step 1: 【0400】 The user inputs voice data into the terminal. This voice data is then transmitted to the server by the terminal. The input is the voice information spoken by the user, and the output is voice data in digital format. 【0401】 Step 2: 【0402】 The server converts the received audio data into text using a speech recognition API. In this case, the Google Speech-to-Text API is used. The input is digital audio data, and the output is text data. 【0403】 Step 3: 【0404】 The server analyzes text data using a natural language processing library and extracts the necessary information. The input is speech-recognized text data, and the output is structured information. 【0405】 Step 4: 【0406】 The server uses an emotion analysis model to estimate the user's emotional state from speech and text. The input consists of speech and text data, and the output is data representing the estimated emotional state. Specifically, it uses a combination of OpenCV and the VGG-Face model. 【0407】 Step 5: 【0408】 The server uses a generative AI model to generate reports based on extracted information and emotional states. The input is structured information and emotional states, and the output is a dynamically adjusted report. 【0409】 Step 6: 【0410】 The server sends the generated report to the terminal, which then presents it to the user in visual or audio format. The input is the generated report, and the output is the information presented to the user. 【0411】 Step 7: 【0412】 Users review the feedback reports they receive and, if necessary, input any corrections into their devices using voice input. This process takes place in real time, allowing users to immediately reflect the effectiveness of their training. 【0413】 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. 【0414】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0415】 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. 【0416】 [Third Embodiment] 【0417】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0418】 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. 【0419】 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). 【0420】 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. 【0421】 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. 【0422】 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). 【0423】 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. 【0424】 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. 【0425】 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. 【0426】 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. 【0427】 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. 【0428】 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". 【0429】 This invention relates to an information processing device for streamlining document creation and presentation preparation. A specific embodiment of this device consists of a series of processes involving a server, a terminal, and a user. 【0430】 The user first enters the necessary data into the terminal. The data varies depending on the presentation's purpose, but may include, for example, company sales data or market analysis information. Once the user has finished entering the data, the terminal sends it to the server. 【0431】 The server analyzes the received data using advanced algorithms. This analysis involves extracting statistical information based on numerical data and clustering key points based on the content of text data. Based on these analysis results, the server selects an appropriate document format from templates and automatically generates a presentation optimized for the user. 【0432】 The device provides the user with generated materials and enables automatic adjustment of layout and design. It also analyzes the user's speech to assist with presentation practice, providing suggestions for improvement and feedback. 【0433】 Users practice their speeches using the voice input function. The terminal's role in this process is to analyze the voice data, evaluate the speaking tempo and clarity of pronunciation, and suggest improvements. 【0434】 Furthermore, the server generates a list of anticipated questions based on audience attribute information. This allows users to prepare in advance for anticipated questions and deliver more effective presentations. 【0435】 If new information or changes are needed, the user updates the data as needed and sends it from their device to the server. The server immediately re-analyzes the material and provides the updated information back to the device, ensuring that the presentation materials are always up-to-date. 【0436】 In this way, the present invention provides a system that significantly improves the efficiency of document creation and presentation preparation, and enables the realization of high-quality output. 【0437】 The following describes the processing flow. 【0438】 Step 1: 【0439】 The user accesses the terminal and creates a new project. The user enters the necessary data using an input form, which includes numerical and text information. Once the input is complete, the terminal automatically checks for data integrity and ensures there are no errors. 【0440】 Step 2: 【0441】 The terminal sends user input data to the server. The data is encrypted for security purposes during transmission. 【0442】 Step 3: 【0443】 The server analyzes the received data. First, statistical analysis is performed, processing the numerical data. Next, the text data is clustered by category, and important points are extracted. 【0444】 Step 4: 【0445】 The server selects the appropriate template based on the analysis results and creates the document. Each section within the template is automatically populated with the corresponding data. 【0446】 Step 5: 【0447】 Documents generated from the server are sent to the terminal. After receiving the documents, the terminal automatically adjusts the layout and displays them to the user in an easy-to-read format. 【0448】 Step 6: 【0449】 The user starts speech practice mode on the device. The device receives the user's voice input, performs voice analysis, evaluates metrics such as tempo and pronunciation, and provides feedback. 【0450】 Step 7: 【0451】 The server references audience attribute information and generates a list of anticipated questions. The generated question list is sent to the terminal and provided to the user. 【0452】 Step 8: 【0453】 When a user updates data, the device sends that information back to the server. The server re-analyzes the data based on the new information, generates an updated version, and sends it back to the device. 【0454】 Step 9: 【0455】 The user performs a final check, and the device exports the document in the appropriate format. This completes the presentation preparation. 【0456】 (Example 1) 【0457】 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." 【0458】 In information processing, there is a need for technology that can effectively and efficiently analyze large amounts of data and automatically generate high-quality presentation materials in a short time. Furthermore, improving users' speaking abilities and optimizing the content of materials according to the audience are also important. However, performing these tasks manually requires a great deal of time and effort, and there is a lack of easily implementable methods. In response to this, the present invention aims to solve this problem by providing a system that integrates data analysis, material generation, and presentation preparation support. 【0459】 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. 【0460】 In this invention, the server includes means for receiving and analyzing data input via a terminal, means for automatically generating a document based on the analysis results and linking it with prompt text using a generation AI model, and means for automatically adjusting the visual display of the generated document. This makes it possible to easily process large amounts of data and efficiently generate high-quality presentation materials. It also supports users in practicing their speeches and optimizes content according to the attributes of the recipients. 【0461】 A "data processing device" refers to the entire system that analyzes input data and generates appropriate information based on the results. 【0462】 A "terminal" refers to a device that provides an interface for users to input data and send it to a server. 【0463】 "Analysis" refers to the process of interpreting the information contained in data based on a specific algorithm and extracting necessary statistical information and key points. 【0464】 A "generative AI model" refers to artificial intelligence technology that automatically generates documents based on input data and prompts, thereby assisting in the creation of document content. 【0465】 A "prompt statement" refers to a sentence that describes instructions or requests to be given to a generative AI model. 【0466】 "Automatic visual adjustment" refers to a function that automatically optimizes the layout and design of generated documents to make them easier to read. 【0467】 "Voice input" refers to a function that receives the user's speech as a digital signal and uses it for analysis. 【0468】 "Feedback" refers to advice on improvements and adjustments provided to the user based on the analysis results. 【0469】 "Attribute information" refers to characteristics and background information about the recipient, and is used to adjust the content of materials and predict questions. 【0470】 A "question list" refers to a compilation of anticipated questions from recipients, intended to assist with preparation. 【0471】 This invention relates to a system that efficiently analyzes data using an information processing device and automatically generates presentation materials. This system includes a series of processes involving a server, a terminal, and a user. 【0472】 Users use a terminal to input the information necessary for their presentation. This typically includes company sales data and market analysis information, often entered in Excel or CSV format. The terminal receives this data through an input interface and sends it to the server. 【0473】 The server analyzes the received data using advanced algorithms and generative AI models. Numerical data is analyzed using statistical tools to extract trends, and text data is analyzed using natural language processing techniques to highlight key points. Based on the analysis results, the server selects a template and automatically generates an appropriate document format. The generative AI model adjusts the structure and content of the proposed document in this process according to prompts. 【0474】 The device has a function that automatically adjusts the layout and visual display of generated materials, providing users with visually organized materials. It also supports users' speech practice using voice input functionality, analyzing their speech and providing feedback. This allows users to improve the quality of their presentations. 【0475】 For example, if a user is preparing a presentation on a company's annual sales report, the device sends sales data and market research results to the server, which analyzes this data and automatically generates slides that include sales trends and competitive analysis. An example of a prompt for the generating AI model would be, "Create a competitive analysis slide based on this year's sales data." 【0476】 In implementing this invention, hardware such as a terminal (personal computer, tablet, etc.) and a server (data analysis server) are required. The software used includes data analysis software, a generation AI model, and a voice analysis program. In this way, the present invention efficiently performs analysis of large amounts of data and generates materials, supporting the user's presentation preparation. 【0477】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0478】 Step 1: 【0479】 The user inputs the data necessary for the presentation via a terminal. This data mainly includes sales data and market analysis information, and is usually entered in Excel or CSV format. The terminal receives the entered data and checks for errors in the data format and content. Once the check is complete, the terminal organizes the data and prepares to send it to the server. 【0480】 Step 2: 【0481】 The terminal sends the organized data to the server. Upon receiving this data, the server begins analysis using a generative AI model. Specifically, it performs statistical analysis on numerical data to extract sales trends and changes in market share. Meanwhile, for text data, it uses natural language processing techniques to perform clustering by important keywords and themes. The analysis results are stored on the server as content necessary for presentation materials. 【0482】 Step 3: 【0483】 The server automatically generates optimal presentation materials based on the analysis results. This involves utilizing pre-prepared templates and using a generation AI model to reflect the document structure according to the prompts. The generated materials include graphs, tables, and text, in a visually easy-to-understand format. 【0484】 Step 4: 【0485】 The terminal receives the materials generated from the server and automatically adjusts the layout and visual display. It optimizes font size, adjusts color contrast, and places graphs to refine the final appearance of the materials. The adjusted materials are then provided to the user, who can review them and make any necessary adjustments. 【0486】 Step 5: 【0487】 Users practice their speeches using the voice input function of their device. The user's voice data is received by the device, and the server uses a voice analysis algorithm to evaluate the speaking tempo and clarity of pronunciation, providing feedback for improvement. Based on this feedback, users can improve the quality of their speeches. 【0488】 Step 6: 【0489】 The server generates a list of anticipated questions based on the recipient's attribute information. This allows users to anticipate questions during the presentation preparation phase and prepare their answers in advance. The generated question list is provided to the user and used as reference material. 【0490】 (Application Example 1) 【0491】 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." 【0492】 In today's information society, preparing documents and presentations has become increasingly complex, requiring users to efficiently handle large amounts of data. Furthermore, improving the quality of presentations requires refining the content of speech and preparing for appropriate questions. However, performing these tasks manually is time-consuming and labor-intensive, highlighting the need for efficient and effective methods. 【0493】 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. 【0494】 In this invention, the server includes means for analyzing input data and automatically generating materials based on said data, means for automatically adjusting the layout of the generated materials, and means for analyzing the user's speech using a speech recognition function and suggesting improvements regarding pronunciation and rhythm. This significantly improves the efficiency of material creation, supports the improvement of speech, and enables preparation for questions based on audience attributes. 【0495】 An "information processing device" is a device that analyzes input data and performs various automated processes based on the results. 【0496】 A "document" is a structure of information that is automatically generated based on input data, and it mainly takes the form of a presentation or report. 【0497】 "Layout" refers to the visual structure of a generated document, and involves adjustments to improve readability and the efficiency of information transmission. 【0498】 "User utterance" refers to the content of language spoken by a user, including pronunciation and phrasing. 【0499】 "Audience attributes" refer to the characteristics and profile information of those receiving the presentation or materials, including age, occupation, and area of ​​expertise. 【0500】 "Voice recognition functionality" is a technology that analyzes a user's voice as digital data, converts it into text data, and analyzes its characteristics. 【0501】 "Viewer profile information" refers to individual information about the people receiving the materials, including their attributes and areas of interest. 【0502】 A "question list" is a compilation of anticipated questions based on the content of the presentation. 【0503】 This system consists of an information processing unit, a user's terminal, and a server in the cloud. In this configuration, the user first inputs the necessary data using their terminal. This data includes numerical data and text information tailored to the purpose of the presentation. 【0504】 When a user inputs data, the terminal sends it to a server in the cloud. The server uses Python libraries such as NumPy and Pandas to analyze the numerical data and uses a generative AI model to cluster important points in the text data. Based on this analysis, the server uses Jinja2 to select an appropriate document format and automatically generate presentation materials. 【0505】 The generated materials are provided to the user on their device, allowing them to review and edit them as needed. The Google Cloud Speech-to-Text API is used for speech recognition, analyzing the user's utterances and providing feedback on pronunciation and rhythm improvements. The server also automatically generates a list of anticipated questions based on the viewer's profile information. 【0506】 As a concrete example, consider a scenario that assists in preparing for an international online technology conference. Speakers input data related to their presentation into an app, and materials are automatically generated based on that input. Users then use the generated materials to prepare for their seminar and practice while receiving speech feedback from AI. Furthermore, it is used in the form of a prompt: "Imagine a smartphone app that helps you prepare an effective presentation for a conference. After inputting market analysis data, you explain the generated materials and receive feedback through voice analysis." 【0507】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0508】 Step 1: 【0509】 The user uses a terminal to input data for their presentation. This data includes numerical and textual information, forming the basis for subsequent analysis. The input data is then ready to be sent directly to the server. 【0510】 Step 2: 【0511】 The terminal sends the input data to a server in the cloud. The server receives this data and, for numerical data, performs analysis using Python libraries such as NumPy and Pandas. Specifically, it uses statistical methods to extract important trends and patterns from the data. 【0512】 Step 3: 【0513】 The server uses a generative AI model to cluster key points in the text data. This clarifies how the text content forms the main points of the presentation. The generated clusters form the basis for subsequent material generation. 【0514】 Step 4: 【0515】 The server uses the Jinja2 template engine to automatically generate optimal presentation materials based on the analysis results. Templates are pre-configured, and appropriate designs and structures are selected. The generated materials are then sent to the terminal. 【0516】 Step 5: 【0517】 The terminal presents the received documents to the user. The user can review the documents and edit them as needed. Editing is done through an interface that allows adjustment of the document's layout and content. 【0518】 Step 6: 【0519】 The user inputs speech, and the device analyzes the utterance using the Google Cloud Speech-to-Text API. The input speech data is converted into digital text, and the server further evaluates the pronunciation and rhythm. Based on this evaluation, the device provides the user with feedback suggesting improvements. 【0520】 Step 7: 【0521】 The server uses viewer profile information and automatically generates a list of anticipated questions through analysis by a generative AI model. The question list is constructed based on the presentation content and audience characteristics and is sent to the device. 【0522】 Step 8: 【0523】 Ultimately, users review the completed materials and question lists via their devices, preparing for seminars and presentations. During the preparation process, users can utilize the generated AI model and prompt text to conduct simulations and enhance the effectiveness of their presentations. 【0524】 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. 【0525】 This invention is a system that more effectively supports document creation and presentation preparation by combining an emotion engine with an information processing device. The user first accesses a terminal and inputs the data necessary for the presentation. The input data is then transmitted from the terminal to the server. 【0526】 The server analyzes the received data and automatically generates materials based on the information. Templates are used in this process, and important data is visualized in an appropriate format. In addition, the server uses an emotion engine. The emotion engine analyzes user input and voice data to estimate the user's emotional state. By adjusting the presentation materials based on this information, more interactive and engaging materials are generated. 【0527】 The device not only automatically adjusts the layout of the generated materials and presents them to the user, but also combines feedback from speech practice with the results of an emotion engine analysis. This provides feedback that is tailored to the user's feelings, helping them to build confidence through practice. 【0528】 As a concrete example, suppose a user is practicing a presentation speech. During this process, the device analyzes the user's facial expressions and tone of voice using an emotion engine, and if the user is nervous, it advises them on how to relax more. Furthermore, the content of the presentation materials is also fine-tuned in terms of color and layout according to the user's level of excitement, optimizing them to resonate with the audience's emotions. 【0529】 If new data or information is needed for the presentation, the user updates the data on their device. The device immediately sends this information to the server, and new materials are automatically generated and provided to the user. In this way, the present invention streamlines presentation preparation and provides high-quality output while taking into account the user's emotional state. 【0530】 The following describes the processing flow. 【0531】 Step 1: 【0532】 The user launches a dedicated application on their device and creates a new project. The user then enters the necessary data, such as sales information and market analysis results, into an input form. 【0533】 Step 2: 【0534】 The terminal converts the entered data into a database format and sends it to the server. At this time, it checks the data's integrity and notifies the user if there are any problems. 【0535】 Step 3: 【0536】 The server analyzes the received data, performing statistical processing on numerical data and content analysis on text data. This allows important information to be extracted. 【0537】 Step 4: 【0538】 Based on the analysis results, the server automatically generates presentation materials. The materials are constructed according to the selected template, and the data is visualized. 【0539】 Step 5: 【0540】 The server uses an emotion engine to analyze the user's emotional state. This information is obtained based on the user's past input data and voice feedback. 【0541】 Step 6: 【0542】 The server automatically adjusts the content and layout of materials based on the user's emotional state. For example, if the server detects that the user is feeling stressed, it adds design elements to the materials to alleviate that stress. 【0543】 Step 7: 【0544】 The generated document is sent to the terminal, which then displays the document to the user in an optimized layout. 【0545】 Step 8: 【0546】 When a user starts speech practice mode, the device receives the user's speech in real time and sends it to the server. 【0547】 Step 9: 【0548】 The server uses an emotion engine to analyze the user's emotions along with the speech audio, and generates feedback based on the results. 【0549】 Step 10: 【0550】 The device displays feedback on the screen that best matches the user's emotional state, providing the user with suggestions for improvement and supplementary information. 【0551】 Step 11: 【0552】 If changes or additions are needed to the presentation materials, the user updates the data on their device. The device sends this data to the server, which re-analyzes the materials, generates a newly adjusted version, and sends it back to the device. 【0553】 (Example 2) 【0554】 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." 【0555】 Modern presentation creation requires the efficient and effective integration of vast amounts of information to produce visually compelling materials. Furthermore, improving presentation quality necessitates not only general information processing but also an emotional approach. However, many current information processing systems fail to adequately consider the user's emotional state when providing feedback and adjusting materials, thus not fully meeting user needs. 【0556】 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. 【0557】 In this invention, the server includes means for analyzing input information and automatically generating materials based on said information, means for automatically adjusting the arrangement of the generated materials, and means for estimating the user's emotional state through information analysis and adaptively adjusting the materials. This enables the creation of presentations that take the user's emotional state into consideration and provides high-quality feedback. 【0558】 "Means of analyzing input information" refers to the process of analyzing the content of information obtained from users using appropriate data processing techniques and extracting necessary insights. 【0559】 "Methods for automatically generating documents" refers to a process that uses analyzed data to create documents tailored to a specific purpose, without human intervention, according to a particular template or algorithm. 【0560】 "Methods for automatically adjusting the layout of generated materials" refers to a process that automatically changes the visual layout of created materials to optimize them so that information is conveyed more effectively. 【0561】 "Means for estimating a user's emotional state through information analysis" refers to a process that uses an emotion engine to detect signs of emotion from the user's voice and input data, and to evaluate the user's psychological state. 【0562】 "Methods for adaptively adjusting materials" refers to the process of dynamically changing the content and design of materials to match the estimated emotional state of the user, thereby facilitating more effective communication. 【0563】 This invention is a system for an information processing device that integrates the processes of data input, analysis, document generation, sentiment analysis, and feedback provision. The user first accesses a terminal and inputs the information necessary for the presentation. For example, the user inputs numerical data and text information into a spreadsheet. 【0564】 The device sends this information to the server, which then analyzes the received data. This analysis utilizes generative AI models employing data mining techniques and machine learning algorithms. Specific software examples include TensorFlow and PyTorch. The server uses templates to automatically generate highly visualized materials. Furthermore, through information analysis, an emotion engine estimates the user's emotional state. This information is then used to interactively adjust the materials. 【0565】 Let's say a user is practicing a presentation speech. The device analyzes the user's voice tone and facial expressions using an emotion engine, and if it determines that the user is nervous, it provides voice advice to help them relax. By using speech synthesis technology such as Amazon Polly, natural-sounding feedback can be obtained. 【0566】 Prompts play a crucial role in the process of generating materials and providing emotional feedback. For example, a prompt might read, "Analyze the dataset used in the following presentation and suggest a material template tailored to the user's emotional state. Also, generate advice for the user to relax based on the emotional analysis results from their speech practice." 【0567】 This system takes into account the user's emotional state while supporting the creation of high-quality presentation materials and effective speech practice. 【0568】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0569】 Step 1: 【0570】 The user accesses the terminal and inputs the information necessary for the presentation. Specifically, the user enters text and numerical data for the presentation into a spreadsheet or text editor. The terminal converts the input data into a specific format (e.g., JSON format) and prepares it for transmission to the server. The input content is the basic data necessary for generating the materials, and the output is the formatted data sent to the server. 【0571】 Step 2: 【0572】 The terminal sends formatted data to the server. The server receives the data and begins analyzing it using a generative AI model. This analysis uses data mining techniques and machine learning algorithms to extract and classify data elements. The input is the data sent from the terminal, and the output is a document template generated based on the analysis results. 【0573】 Step 3: 【0574】 The server uses an emotion engine to analyze user input data and, if necessary, voice data. This analysis estimates the user's emotional state. The emotion engine utilizes voice recognition software and facial expression analysis technology to detect emotions such as tension. The input is the user's voice and data, and the output is information about the estimated emotional state. 【0575】 Step 4: 【0576】 The server adjusts the content and design of the generated materials based on the acquired emotional state information. For example, if the user is feeling anxious, it may change the color scheme of the materials to a more calming one. The output is the final version of the material adapted to the emotional state. 【0577】 Step 5: 【0578】 The terminal displays the final version of the material received from the server. It also provides feedback using the results of an emotion engine to assist the user in practicing their speech. The terminal uses speech synthesis technology to deliver voice advice to the user, such as "Please relax." The input consists of the final version of the material and the emotion analysis results, while the output is visual and auditory feedback. 【0579】 (Application Example 2) 【0580】 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." 【0581】 Information processing systems are required to efficiently generate reports while considering user emotions and to effectively support user speech training. Since current technologies are insufficient to address these challenges, the development of more interactive and adaptable systems is necessary. 【0582】 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. In this invention, the server includes means for analyzing input information and automatically generating a report based on said information, means for automatically adjusting the arrangement of the generated report, and means for estimating the user's emotional state and adjusting the content of the report based on that state. This makes it possible to adjust materials and provide feedback in real time based on emotions. 【0583】 An "information processing device" is a device that analyzes input information and performs various processes based on that information. 【0584】 A "report" is a document or a collection of formalized information generated based on analyzed data and provided to the user. 【0585】 "Arrangement" refers to the visual or physical arrangement of elements within a generated report. 【0586】 A "user" is an entity that operates an information processing device, inputs information, and receives feedback. 【0587】 "Emotional state" refers to the mental and emotional state estimated by analyzing the user's internal emotional tendencies and facial expressions. 【0588】 "Real-time" refers to the characteristic of being able to react immediately to events that occur and to process or output information instantly. 【0589】 "Feedback" refers to evaluations and advice given regarding a user's behavior and speech. 【0590】 This invention consists of three main elements: a server that functions as an information processing device, a terminal for the user to input information, and the user themselves. The server analyzes the received information and automatically generates a report. For the analysis, it uses natural language processing libraries and sentiment analysis models as software for speech recognition and sentiment analysis. Specifically, it uses the Google Speech-to-Text API for speech recognition and a combination of OpenCV and the VGG-Face model for sentiment analysis. 【0591】 The server dynamically adjusts the content of the generated report according to the user's emotions. This allows the report and its presentation to better suit the user and provide an interactive experience. In this process, a generative AI model is used to adjust the report template and determine the optimal style and content that matches the user's mental state. 【0592】 Users can easily use a device at home to perform voice input. The device sends the input information to a server for immediate analysis and data generation. The device also provides visual or audio feedback to the user of the generated data to support their training. As an example of how to provide real-time responses and feedback, the following prompt statements can be used. 【0593】 Example of a prompt: 【0594】 "Please propose a detailed presentation structure for users to effectively communicate the results of new products in internal meetings, and provide real-time feedback as needed." 【0595】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0596】 Step 1: 【0597】 The user inputs voice data into the terminal. This voice data is then transmitted to the server by the terminal. The input is the voice information spoken by the user, and the output is voice data in digital format. 【0598】 Step 2: 【0599】 The server converts the received audio data into text using a speech recognition API. In this case, the Google Speech-to-Text API is used. The input is digital audio data, and the output is text data. 【0600】 Step 3: 【0601】 The server analyzes text data using a natural language processing library and extracts the necessary information. The input is speech-recognized text data, and the output is structured information. 【0602】 Step 4: 【0603】 The server uses an emotion analysis model to estimate the user's emotional state from speech and text. The input consists of speech and text data, and the output is data representing the estimated emotional state. Specifically, it uses a combination of OpenCV and the VGG-Face model. 【0604】 Step 5: 【0605】 The server uses a generative AI model to generate reports based on extracted information and emotional states. The input is structured information and emotional states, and the output is a dynamically adjusted report. 【0606】 Step 6: 【0607】 The server sends the generated report to the terminal, which then presents it to the user in visual or audio format. The input is the generated report, and the output is the information presented to the user. 【0608】 Step 7: 【0609】 Users review the feedback reports they receive and, if necessary, input any corrections into their devices using voice input. This process takes place in real time, allowing users to immediately reflect the effectiveness of their training. 【0610】 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. 【0611】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0612】 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. 【0613】 [Fourth Embodiment] 【0614】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0615】 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. 【0616】 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). 【0617】 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. 【0618】 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. 【0619】 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). 【0620】 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. 【0621】 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. 【0622】 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. 【0623】 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. 【0624】 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. 【0625】 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. 【0626】 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". 【0627】 This invention relates to an information processing device for streamlining document creation and presentation preparation. A specific embodiment of this device consists of a series of processes involving a server, a terminal, and a user. 【0628】 The user first enters the necessary data into the terminal. The data varies depending on the presentation's purpose, but may include, for example, company sales data or market analysis information. Once the user has finished entering the data, the terminal sends it to the server. 【0629】 The server analyzes the received data using advanced algorithms. This analysis involves extracting statistical information based on numerical data and clustering key points based on the content of text data. Based on these analysis results, the server selects an appropriate document format from templates and automatically generates a presentation optimized for the user. 【0630】 The device provides the user with generated materials and enables automatic adjustment of layout and design. It also analyzes the user's speech to assist with presentation practice, providing suggestions for improvement and feedback. 【0631】 Users practice their speeches using the voice input function. The terminal's role in this process is to analyze the voice data, evaluate the speaking tempo and clarity of pronunciation, and suggest improvements. 【0632】 Furthermore, the server generates a list of anticipated questions based on audience attribute information. This allows users to prepare in advance for anticipated questions and deliver more effective presentations. 【0633】 If new information or changes are needed, the user updates the data as needed and sends it from their device to the server. The server immediately re-analyzes the material and provides the updated information back to the device, ensuring that the presentation materials are always up-to-date. 【0634】 In this way, the present invention provides a system that significantly improves the efficiency of document creation and presentation preparation, and enables the realization of high-quality output. 【0635】 The following describes the processing flow. 【0636】 Step 1: 【0637】 The user accesses the terminal and creates a new project. The user enters the necessary data using an input form, which includes numerical and text information. Once the input is complete, the terminal automatically checks for data integrity and ensures there are no errors. 【0638】 Step 2: 【0639】 The terminal sends user input data to the server. The data is encrypted for security purposes during transmission. 【0640】 Step 3: 【0641】 The server analyzes the received data. First, statistical analysis is performed, processing the numerical data. Next, the text data is clustered by category, and important points are extracted. 【0642】 Step 4: 【0643】 The server selects the appropriate template based on the analysis results and creates the document. Each section within the template is automatically populated with the corresponding data. 【0644】 Step 5: 【0645】 Documents generated from the server are sent to the terminal. After receiving the documents, the terminal automatically adjusts the layout and displays them to the user in an easy-to-read format. 【0646】 Step 6: 【0647】 The user starts speech practice mode on the device. The device receives the user's voice input, performs voice analysis, evaluates metrics such as tempo and pronunciation, and provides feedback. 【0648】 Step 7: 【0649】 The server references audience attribute information and generates a list of anticipated questions. The generated question list is sent to the terminal and provided to the user. 【0650】 Step 8: 【0651】 When a user updates data, the device sends that information back to the server. The server re-analyzes the data based on the new information, generates an updated version, and sends it back to the device. 【0652】 Step 9: 【0653】 The user performs a final check, and the device exports the document in the appropriate format. This completes the presentation preparation. 【0654】 (Example 1) 【0655】 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". 【0656】 In information processing, there is a need for technology that can effectively and efficiently analyze large amounts of data and automatically generate high-quality presentation materials in a short time. Furthermore, improving users' speaking abilities and optimizing the content of materials according to the audience are also important. However, performing these tasks manually requires a great deal of time and effort, and there is a lack of easily implementable methods. In response to this, the present invention aims to solve this problem by providing a system that integrates data analysis, material generation, and presentation preparation support. 【0657】 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. 【0658】 In this invention, the server includes means for receiving and analyzing data input via a terminal, means for automatically generating a document based on the analysis results and linking it with prompt text using a generation AI model, and means for automatically adjusting the visual display of the generated document. This makes it possible to easily process large amounts of data and efficiently generate high-quality presentation materials. It also supports users in practicing their speeches and optimizes content according to the attributes of the recipients. 【0659】 A "data processing device" refers to the entire system that analyzes input data and generates appropriate information based on the results. 【0660】 A "terminal" refers to a device that provides an interface for users to input data and send it to a server. 【0661】 "Analysis" refers to the process of interpreting the information contained in data based on a specific algorithm and extracting necessary statistical information and key points. 【0662】 A "generative AI model" refers to artificial intelligence technology that automatically generates documents based on input data and prompts, thereby assisting in the creation of document content. 【0663】 A "prompt statement" refers to a sentence that describes instructions or requests to be given to a generative AI model. 【0664】 "Automatic visual adjustment" refers to a function that automatically optimizes the layout and design of generated documents to make them easier to read. 【0665】 "Voice input" refers to a function that receives the user's speech as a digital signal and uses it for analysis. 【0666】 "Feedback" refers to advice on improvements and adjustments provided to the user based on the analysis results. 【0667】 "Attribute information" refers to characteristics and background information about the recipient, and is used to adjust the content of materials and predict questions. 【0668】 A "question list" refers to a compilation of anticipated questions from recipients, intended to assist with preparation. 【0669】 This invention relates to a system that efficiently analyzes data using an information processing device and automatically generates presentation materials. This system includes a series of processes involving a server, a terminal, and a user. 【0670】 Users use a terminal to input the information necessary for their presentation. This typically includes company sales data and market analysis information, often entered in Excel or CSV format. The terminal receives this data through an input interface and sends it to the server. 【0671】 The server analyzes the received data using advanced algorithms and generative AI models. Numerical data is analyzed using statistical tools to extract trends, and text data is analyzed using natural language processing techniques to highlight key points. Based on the analysis results, the server selects a template and automatically generates an appropriate document format. The generative AI model adjusts the structure and content of the proposed document in this process according to prompts. 【0672】 The device has a function that automatically adjusts the layout and visual display of generated materials, providing users with visually organized materials. It also supports users' speech practice using voice input functionality, analyzing their speech and providing feedback. This allows users to improve the quality of their presentations. 【0673】 For example, if a user is preparing a presentation on a company's annual sales report, the device sends sales data and market research results to the server, which analyzes this data and automatically generates slides that include sales trends and competitive analysis. An example of a prompt for the generating AI model would be, "Create a competitive analysis slide based on this year's sales data." 【0674】 In implementing this invention, hardware such as a terminal (personal computer, tablet, etc.) and a server (data analysis server) are required. The software used includes data analysis software, a generation AI model, and a voice analysis program. In this way, the present invention efficiently performs analysis of large amounts of data and generates materials, supporting the user's presentation preparation. 【0675】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0676】 Step 1: 【0677】 The user inputs the data necessary for the presentation via a terminal. This data mainly includes sales data and market analysis information, and is usually entered in Excel or CSV format. The terminal receives the entered data and checks for errors in the data format and content. Once the check is complete, the terminal organizes the data and prepares to send it to the server. 【0678】 Step 2: 【0679】 The terminal sends the organized data to the server. Upon receiving this data, the server begins analysis using a generative AI model. Specifically, it performs statistical analysis on numerical data to extract sales trends and changes in market share. Meanwhile, for text data, it uses natural language processing techniques to perform clustering by important keywords and themes. The analysis results are stored on the server as content necessary for presentation materials. 【0680】 Step 3: 【0681】 The server automatically generates optimal presentation materials based on the analysis results. This involves utilizing pre-prepared templates and using a generation AI model to reflect the document structure according to the prompts. The generated materials include graphs, tables, and text, in a visually easy-to-understand format. 【0682】 Step 4: 【0683】 The terminal receives the materials generated from the server and automatically adjusts the layout and visual display. It optimizes font size, adjusts color contrast, and places graphs to refine the final appearance of the materials. The adjusted materials are then provided to the user, who can review them and make any necessary adjustments. 【0684】 Step 5: 【0685】 Users practice their speeches using the voice input function of their device. The user's voice data is received by the device, and the server uses a voice analysis algorithm to evaluate the speaking tempo and clarity of pronunciation, providing feedback for improvement. Based on this feedback, users can improve the quality of their speeches. 【0686】 Step 6: 【0687】 The server generates a list of anticipated questions based on the recipient's attribute information. This allows users to anticipate questions during the presentation preparation phase and prepare their answers in advance. The generated question list is provided to the user and used as reference material. 【0688】 (Application Example 1) 【0689】 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". 【0690】 In today's information society, preparing documents and presentations has become increasingly complex, requiring users to efficiently handle large amounts of data. Furthermore, improving the quality of presentations requires refining the content of speech and preparing for appropriate questions. However, performing these tasks manually is time-consuming and labor-intensive, highlighting the need for efficient and effective methods. 【0691】 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. 【0692】 In this invention, the server includes means for analyzing input data and automatically generating materials based on said data, means for automatically adjusting the layout of the generated materials, and means for analyzing the user's speech using a speech recognition function and suggesting improvements regarding pronunciation and rhythm. This significantly improves the efficiency of material creation, supports the improvement of speech, and enables preparation for questions based on audience attributes. 【0693】 An "information processing device" is a device that analyzes input data and performs various automated processes based on the results. 【0694】 A "document" is a structure of information that is automatically generated based on input data, and it mainly takes the form of a presentation or report. 【0695】 "Layout" refers to the visual structure of a generated document, and involves adjustments to improve readability and the efficiency of information transmission. 【0696】 "User utterance" refers to the content of language spoken by a user, including pronunciation and phrasing. 【0697】 "Audience attributes" refer to the characteristics and profile information of those receiving the presentation or materials, including age, occupation, and area of ​​expertise. 【0698】 "Voice recognition functionality" is a technology that analyzes a user's voice as digital data, converts it into text data, and analyzes its characteristics. 【0699】 "Viewer profile information" refers to individual information about the people receiving the materials, including their attributes and areas of interest. 【0700】 A "question list" is a compilation of anticipated questions based on the content of the presentation. 【0701】 This system consists of an information processing unit, a user's terminal, and a server in the cloud. In this configuration, the user first inputs the necessary data using their terminal. This data includes numerical data and text information tailored to the purpose of the presentation. 【0702】 When a user inputs data, the terminal sends it to a server in the cloud. The server uses Python libraries such as NumPy and Pandas to analyze the numerical data and uses a generative AI model to cluster important points in the text data. Based on this analysis, the server uses Jinja2 to select an appropriate document format and automatically generate presentation materials. 【0703】 The generated materials are provided to the user on their device, allowing them to review and edit them as needed. The Google Cloud Speech-to-Text API is used for speech recognition, analyzing the user's utterances and providing feedback on pronunciation and rhythm improvements. The server also automatically generates a list of anticipated questions based on the viewer's profile information. 【0704】 As a concrete example, consider a scenario that assists in preparing for an international online technology conference. Speakers input data related to their presentation into an app, and materials are automatically generated based on that input. Users then use the generated materials to prepare for their seminar and practice while receiving speech feedback from AI. Furthermore, it is used in the form of a prompt: "Imagine a smartphone app that helps you prepare an effective presentation for a conference. After inputting market analysis data, you explain the generated materials and receive feedback through voice analysis." 【0705】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0706】 Step 1: 【0707】 The user uses a terminal to input data for their presentation. This data includes numerical and textual information, forming the basis for subsequent analysis. The input data is then ready to be sent directly to the server. 【0708】 Step 2: 【0709】 The terminal sends the input data to a server in the cloud. The server receives this data and, for numerical data, performs analysis using Python libraries such as NumPy and Pandas. Specifically, it uses statistical methods to extract important trends and patterns from the data. 【0710】 Step 3: 【0711】 The server uses a generative AI model to cluster key points in the text data. This clarifies how the text content forms the main points of the presentation. The generated clusters form the basis for subsequent material generation. 【0712】 Step 4: 【0713】 The server uses the Jinja2 template engine to automatically generate optimal presentation materials based on the analysis results. Templates are pre-configured, and appropriate designs and structures are selected. The generated materials are then sent to the terminal. 【0714】 Step 5: 【0715】 The terminal presents the received documents to the user. The user can review the documents and edit them as needed. Editing is done through an interface that allows adjustment of the document's layout and content. 【0716】 Step 6: 【0717】 The user inputs speech, and the device analyzes the utterance using the Google Cloud Speech-to-Text API. The input speech data is converted into digital text, and the server further evaluates the pronunciation and rhythm. Based on this evaluation, the device provides the user with feedback suggesting improvements. 【0718】 Step 7: 【0719】 The server uses viewer profile information and automatically generates a list of anticipated questions through analysis by a generative AI model. The question list is constructed based on the presentation content and audience characteristics and is sent to the device. 【0720】 Step 8: 【0721】 Ultimately, users review the completed materials and question lists via their devices, preparing for seminars and presentations. During the preparation process, users can utilize the generated AI model and prompt text to conduct simulations and enhance the effectiveness of their presentations. 【0722】 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. 【0723】 This invention is a system that more effectively supports document creation and presentation preparation by combining an emotion engine with an information processing device. The user first accesses a terminal and inputs the data necessary for the presentation. The input data is then transmitted from the terminal to the server. 【0724】 The server analyzes the received data and automatically generates materials based on the information. Templates are used in this process, and important data is visualized in an appropriate format. In addition, the server uses an emotion engine. The emotion engine analyzes user input and voice data to estimate the user's emotional state. By adjusting the presentation materials based on this information, more interactive and engaging materials are generated. 【0725】 The device not only automatically adjusts the layout of the generated materials and presents them to the user, but also combines feedback from speech practice with the results of an emotion engine analysis. This provides feedback that is tailored to the user's feelings, helping them to build confidence through practice. 【0726】 As a concrete example, suppose a user is practicing a presentation speech. During this process, the device analyzes the user's facial expressions and tone of voice using an emotion engine, and if the user is nervous, it advises them on how to relax more. Furthermore, the content of the presentation materials is also fine-tuned in terms of color and layout according to the user's level of excitement, optimizing them to resonate with the audience's emotions. 【0727】 If new data or information is needed for the presentation, the user updates the data on their device. The device immediately sends this information to the server, and new materials are automatically generated and provided to the user. In this way, the present invention streamlines presentation preparation and provides high-quality output while taking into account the user's emotional state. 【0728】 The following describes the processing flow. 【0729】 Step 1: 【0730】 The user launches a dedicated application on their device and creates a new project. The user then enters the necessary data, such as sales information and market analysis results, into an input form. 【0731】 Step 2: 【0732】 The terminal converts the entered data into a database format and sends it to the server. At this time, it checks the data's integrity and notifies the user if there are any problems. 【0733】 Step 3: 【0734】 The server analyzes the received data, performing statistical processing on numerical data and content analysis on text data. This allows important information to be extracted. 【0735】 Step 4: 【0736】 Based on the analysis results, the server automatically generates presentation materials. The materials are constructed according to the selected template, and the data is visualized. 【0737】 Step 5: 【0738】 The server uses an emotion engine to analyze the user's emotional state. This information is obtained based on the user's past input data and voice feedback. 【0739】 Step 6: 【0740】 The server automatically adjusts the content and layout of materials based on the user's emotional state. For example, if the server detects that the user is feeling stressed, it adds design elements to the materials to alleviate that stress. 【0741】 Step 7: 【0742】 The generated document is sent to the terminal, which then displays the document to the user in an optimized layout. 【0743】 Step 8: 【0744】 When a user starts speech practice mode, the device receives the user's speech in real time and sends it to the server. 【0745】 Step 9: 【0746】 The server uses an emotion engine to analyze the user's emotions along with the speech audio, and generates feedback based on the results. 【0747】 Step 10: 【0748】 The device displays feedback on the screen that best matches the user's emotional state, providing the user with suggestions for improvement and supplementary information. 【0749】 Step 11: 【0750】 If changes or additions are needed to the presentation materials, the user updates the data on their device. The device sends this data to the server, which re-analyzes the materials, generates a newly adjusted version, and sends it back to the device. 【0751】 (Example 2) 【0752】 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". 【0753】 Modern presentation creation requires the efficient and effective integration of vast amounts of information to produce visually compelling materials. Furthermore, improving presentation quality necessitates not only general information processing but also an emotional approach. However, many current information processing systems fail to adequately consider the user's emotional state when providing feedback and adjusting materials, thus not fully meeting user needs. 【0754】 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. 【0755】 In this invention, the server includes means for analyzing input information and automatically generating materials based on said information, means for automatically adjusting the arrangement of the generated materials, and means for estimating the user's emotional state through information analysis and adaptively adjusting the materials. This enables the creation of presentations that take the user's emotional state into consideration and provides high-quality feedback. 【0756】 "Means of analyzing input information" refers to the process of analyzing the content of information obtained from users using appropriate data processing techniques and extracting necessary insights. 【0757】 "Methods for automatically generating documents" refers to a process that uses analyzed data to create documents tailored to a specific purpose, without human intervention, according to a particular template or algorithm. 【0758】 "Methods for automatically adjusting the layout of generated materials" refers to a process that automatically changes the visual layout of created materials to optimize them so that information is conveyed more effectively. 【0759】 "Means for estimating a user's emotional state through information analysis" refers to a process that uses an emotion engine to detect signs of emotion from the user's voice and input data, and to evaluate the user's psychological state. 【0760】 "Methods for adaptively adjusting materials" refers to the process of dynamically changing the content and design of materials to match the estimated emotional state of the user, thereby facilitating more effective communication. 【0761】 This invention is a system for an information processing device that integrates the processes of data input, analysis, document generation, sentiment analysis, and feedback provision. The user first accesses a terminal and inputs the information necessary for the presentation. For example, the user inputs numerical data and text information into a spreadsheet. 【0762】 The device sends this information to the server, which then analyzes the received data. This analysis utilizes generative AI models employing data mining techniques and machine learning algorithms. Specific software examples include TensorFlow and PyTorch. The server uses templates to automatically generate highly visualized materials. Furthermore, through information analysis, an emotion engine estimates the user's emotional state. This information is then used to interactively adjust the materials. 【0763】 Let's say a user is practicing a presentation speech. The device analyzes the user's voice tone and facial expressions using an emotion engine, and if it determines that the user is nervous, it provides voice advice to help them relax. By using speech synthesis technology such as Amazon Polly, natural-sounding feedback can be obtained. 【0764】 Prompts play a crucial role in the process of generating materials and providing emotional feedback. For example, a prompt might read, "Analyze the dataset used in the following presentation and suggest a material template tailored to the user's emotional state. Also, generate advice for the user to relax based on the emotional analysis results from their speech practice." 【0765】 This system takes into account the user's emotional state while supporting the creation of high-quality presentation materials and effective speech practice. 【0766】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0767】 Step 1: 【0768】 The user accesses the terminal and inputs the information necessary for the presentation. Specifically, the user enters text and numerical data for the presentation into a spreadsheet or text editor. The terminal converts the input data into a specific format (e.g., JSON format) and prepares it for transmission to the server. The input content is the basic data necessary for generating the materials, and the output is the formatted data sent to the server. 【0769】 Step 2: 【0770】 The terminal sends formatted data to the server. The server receives the data and begins analyzing it using a generative AI model. This analysis uses data mining techniques and machine learning algorithms to extract and classify data elements. The input is the data sent from the terminal, and the output is a document template generated based on the analysis results. 【0771】 Step 3: 【0772】 The server uses an emotion engine to analyze user input data and, if necessary, voice data. This analysis estimates the user's emotional state. The emotion engine utilizes voice recognition software and facial expression analysis technology to detect emotions such as tension. The input is the user's voice and data, and the output is information about the estimated emotional state. 【0773】 Step 4: 【0774】 The server adjusts the content and design of the generated materials based on the acquired emotional state information. For example, if the user is feeling anxious, it may change the color scheme of the materials to a more calming one. The output is the final version of the material adapted to the emotional state. 【0775】 Step 5: 【0776】 The terminal displays the final version of the material received from the server. It also provides feedback using the results of an emotion engine to assist the user in practicing their speech. The terminal uses speech synthesis technology to deliver voice advice to the user, such as "Please relax." The input consists of the final version of the material and the emotion analysis results, while the output is visual and auditory feedback. 【0777】 (Application Example 2) 【0778】 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". 【0779】 Information processing systems are required to efficiently generate reports while considering user emotions and to effectively support user speech training. Since current technologies are insufficient to address these challenges, the development of more interactive and adaptable systems is necessary. 【0780】 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. In this invention, the server includes means for analyzing input information and automatically generating a report based on said information, means for automatically adjusting the arrangement of the generated report, and means for estimating the user's emotional state and adjusting the content of the report based on that state. This makes it possible to adjust materials and provide feedback in real time based on emotions. 【0781】 An "information processing device" is a device that analyzes input information and performs various processes based on that information. 【0782】 A "report" is a document or a collection of formalized information generated based on analyzed data and provided to the user. 【0783】 "Arrangement" refers to the visual or physical arrangement of elements within a generated report. 【0784】 A "user" is an entity that operates an information processing device, inputs information, and receives feedback. 【0785】 "Emotional state" refers to the mental and emotional state estimated by analyzing the user's internal emotional tendencies and facial expressions. 【0786】 "Real-time" refers to the characteristic of being able to react immediately to events that occur and to process or output information instantly. 【0787】 "Feedback" refers to evaluations and advice given regarding a user's behavior and speech. 【0788】 This invention consists of three main elements: a server that functions as an information processing device, a terminal for the user to input information, and the user themselves. The server analyzes the received information and automatically generates a report. For the analysis, it uses natural language processing libraries and sentiment analysis models as software for speech recognition and sentiment analysis. Specifically, it uses the Google Speech-to-Text API for speech recognition and a combination of OpenCV and the VGG-Face model for sentiment analysis. 【0789】 The server dynamically adjusts the content of the generated report according to the user's emotions. This allows the report and its presentation to better suit the user and provide an interactive experience. In this process, a generative AI model is used to adjust the report template and determine the optimal style and content that matches the user's mental state. 【0790】 Users can easily use a device at home to perform voice input. The device sends the input information to a server for immediate analysis and data generation. The device also provides visual or audio feedback to the user of the generated data to support their training. As an example of how to provide real-time responses and feedback, the following prompt statements can be used. 【0791】 Example of a prompt: 【0792】 "Please propose a detailed presentation structure for users to effectively communicate the results of new products in internal meetings, and provide real-time feedback as needed." 【0793】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0794】 Step 1: 【0795】 The user inputs voice data into the terminal. This voice data is then transmitted to the server by the terminal. The input is the voice information spoken by the user, and the output is voice data in digital format. 【0796】 Step 2: 【0797】 The server converts the received audio data into text using a speech recognition API. In this case, the Google Speech-to-Text API is used. The input is digital audio data, and the output is text data. 【0798】 Step 3: 【0799】 The server analyzes text data using a natural language processing library and extracts the necessary information. The input is speech-recognized text data, and the output is structured information. 【0800】 Step 4: 【0801】 The server uses an emotion analysis model to estimate the user's emotional state from speech and text. The input consists of speech and text data, and the output is data representing the estimated emotional state. Specifically, it uses a combination of OpenCV and the VGG-Face model. 【0802】 Step 5: 【0803】 The server uses a generative AI model to generate reports based on extracted information and emotional states. The input is structured information and emotional states, and the output is a dynamically adjusted report. 【0804】 Step 6: 【0805】 The server sends the generated report to the terminal, which then presents it to the user in visual or audio format. The input is the generated report, and the output is the information presented to the user. 【0806】 Step 7: 【0807】 Users review the feedback reports they receive and, if necessary, input any corrections into their devices using voice input. This process takes place in real time, allowing users to immediately reflect the effectiveness of their training. 【0808】 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. 【0809】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0810】 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. 【0811】 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. 【0812】 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. 【0813】 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. 【0814】 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. 【0815】 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. 【0816】 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." 【0817】 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. 【0818】 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. 【0819】 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. 【0820】 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. 【0821】 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. 【0822】 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. 【0823】 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. 【0824】 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. 【0825】 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. 【0826】 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. 【0827】 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. 【0828】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0829】 The following is further disclosed regarding the embodiments described above. 【0830】 (Claim 1) 【0831】 An information processing device includes means for analyzing input data and automatically generating data based on said data, 【0832】 A means to automatically adjust the layout of the generated documents, 【0833】 A means of analyzing user speech and providing feedback for speech practice, 【0834】 A means for generating a list of anticipated questions based on audience attributes, 【0835】 A system that includes this. 【0836】 (Claim 2) 【0837】 The system according to claim 1, which updates data in real time and regenerates materials based on the updated data. 【0838】 (Claim 3) 【0839】 The system according to claim 1, which verifies the integrity of data entered by a user and provides notification if an anomaly occurs. 【0840】 "Example 1" 【0841】 (Claim 1) 【0842】 A data processing device includes means for receiving data input via a terminal and analyzing said data, 【0843】 A means of automatically generating documents based on analysis results and linking them with prompt sentences using a generation AI model, 【0844】 A means of automatically adjusting the visual display of the generated document, 【0845】 A means of analyzing user speech using voice input and providing feedback to improve communication skills, 【0846】 A means for generating a predicted list of questions based on the recipient's attribute information, 【0847】 A system that includes this. 【0848】 (Claim 2) 【0849】 The system according to claim 1, which instantly updates information and regenerates a document based on the updated information. 【0850】 (Claim 3) 【0851】 The system according to claim 1, which verifies the consistency of information entered by a user and provides notification if a discrepancy occurs. 【0852】 "Application Example 1" 【0853】 (Claim 1) 【0854】 An information processing device includes means for analyzing input data and automatically generating data based on said data, 【0855】 A means to automatically adjust the layout of the generated documents, 【0856】 A means of analyzing user speech and providing feedback for speech practice, 【0857】 A means for generating a list of anticipated questions based on audience attributes, 【0858】 A method for analyzing a user's speech using speech recognition technology and suggesting improvements to pronunciation and rhythm, 【0859】 A means of automatically creating a list of questions based on viewer profile information, 【0860】 A system that includes this. 【0861】 (Claim 2) 【0862】 The system according to claim 1, which updates data in real time and regenerates materials based on the updated data. 【0863】 (Claim 3) 【0864】 The system according to claim 1, which verifies the integrity of data entered by a user and provides notification if an anomaly occurs. 【0865】 "Example 2 of combining an emotion engine" 【0866】 (Claim 1) 【0867】 A means for analyzing input information and automatically generating data based on that information, 【0868】 A means to automatically adjust the arrangement of generated materials, 【0869】 A means of analyzing the user's voice and providing feedback for speech practice, 【0870】 A means of estimating the user's emotional state through information analysis and adaptively adjusting the data, 【0871】 A means of updating information in real time and regenerating materials based on the updated information, 【0872】 A system that includes this. 【0873】 (Claim 2) 【0874】 The system according to claim 1, which verifies the integrity of information entered by a user and provides notification if an anomaly occurs. 【0875】 (Claim 3) 【0876】 The system according to claim 1, which uses an emotion engine to provide feedback that is in line with the user's emotional state. 【0877】 "Application example 2 when combining with an emotional engine" 【0878】 (Claim 1) 【0879】 An information processing device includes means for analyzing input information and automatically generating a report based on said information, 【0880】 A means to automatically adjust the placement of generated reports, 【0881】 A means of analyzing user speech and providing training practice feedback, 【0882】 A means of estimating the emotional state of the user and adjusting the content of the report based on that state, 【0883】 A means for generating a list of anticipated questions based on the recipient's attributes, 【0884】 A system that includes this. 【0885】 (Claim 2) 【0886】 The system according to claim 1, which updates information in real time and regenerates a report based on the updated information. 【0887】 (Claim 3) 【0888】 The system according to claim 1, which verifies the integrity of information entered by a user and provides notification if an anomaly occurs. [Explanation of symbols] 【0889】 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] An information processing device includes means for analyzing input data and automatically generating data based on said data, A means to automatically adjust the layout of the generated documents, A means of analyzing user speech and providing feedback for speech practice, A means for generating a list of anticipated questions based on audience attributes, A system that includes this. [Claim 2] The system according to claim 1, which updates data in real time and regenerates materials based on the updated data. [Claim 3] The system according to claim 1, which verifies the integrity of data entered by a user and provides notification if an anomaly occurs.

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