system

Abstract

We provide the system. [Solution] A means of inputting the purpose of the meeting using a user input device, A means of retrieving past meeting data from a database and generating anticipated meeting agendas, A means for analyzing audio data in real time and generating text data, A means of providing relevant information to a terminal during a meeting to support the progress of the meeting, A method for organizing the results of discussions after a meeting and automatically generating meeting minutes, A method for automatically sending the generated meeting minutes to participants, A system that includes this.

Description

【Technical Field】 , , 【0005】 , 【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 the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In corporate meetings, due to unclear purposes and topics, effective discussions do not proceed, and there is a problem that the progress of the meeting becomes inefficient. In addition, since the results of the meeting are not clearly organized, there is also a problem that the decision of the next action is delayed. As a result, the quality of the meeting deteriorates and time is often wasted. To address these problems, it is required to conduct meetings efficiently and produce clear results. 【Means for Solving the Problems】 【0005】 This invention provides a means for users to input the purpose of a meeting and includes a means for automatically generating anticipated meeting agendas by retrieving past meeting data from a database. It also supports the progress of meetings by using a means to analyze audio data in real time during the meeting and generate text data. Furthermore, by providing a means to organize the results of the discussion after the meeting, automatically generate meeting minutes, and send them to participants, it simultaneously improves the quality of meetings and reduces meeting time. 【0006】 A "user input device" is a device used by users to input the purpose and agenda of a meeting. 【0007】 A "database" is a storage system that accumulates and manages past meeting data and related information, and provides the data as needed. 【0008】 "Agenda generation" is a process that automatically constructs meeting agendas based on the entered objectives. 【0009】 "Audio data analysis" refers to the process of acquiring and transcribing speech during a meeting in real time. 【0010】 "Text data generation" is a method of creating a record of information in text form based on audio data. 【0011】 "Meeting facilitation support" refers to actions that provide relevant information and suggestions in real time during a meeting to help facilitate its effective progress. 【0012】 "Summary of discussion results" is a method of compiling the opinions and conclusions of participants after a meeting. 【0013】 "Automatic meeting minutes generation" is a process that automatically creates a document summarizing the content of a meeting by utilizing the information recorded during the meeting. 【0014】 "Participant distribution" refers to the automatic distribution of generated meeting minutes and other important information to meeting participants. [Brief explanation of the drawing] 【0015】 [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined. 【Embodiments for Carrying Out the Invention】 【0016】 Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0017】 First, the terms used in the following description will be explained. 【0018】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0019】 In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0020】 In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0021】 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). 【0022】 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." 【0023】 [First Embodiment] 【0024】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0025】 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. 【0026】 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). 【0027】 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. 【0028】 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. 【0029】 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. 【0030】 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. 【0031】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0032】 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. 【0033】 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. 【0034】 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. 【0035】 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". 【0036】 This invention provides a system for improving the efficiency and effectiveness of meetings. First, the user inputs the purpose of the meeting using a terminal. This information is sent to a server, which searches a relevant database to retrieve past meeting data and related information. Based on this data, the server automatically generates a hypothetical meeting agenda and provides it to the terminal. This allows the user to easily obtain the agenda necessary for the meeting. 【0037】 During the meeting, the device collects user speech as audio data and sends it to the server. The server analyzes the audio data in real time and generates text data. This visualizes the content of user speech, and important keywords are highlighted on the device, making it easy for all participants to understand the meeting's content. In addition, the server provides relevant information and minutes from past meetings in real time as the meeting progresses, supporting user decision-making. 【0038】 After the meeting ends, the server uses the text data generated during the meeting to organize the results of the discussion. Decisions and next actions are clarified, and meeting minutes are automatically generated. The server automatically sends these minutes to all participants and saves them to cloud storage. This process reduces the time spent on post-meeting follow-up, allowing users to quickly move on to the next steps. 【0039】 As a concrete example, consider a new product development meeting. When a user holds a meeting to plan the launch of the next product, they first input "To concretize the next product launch plan" as the purpose of the meeting into their terminal. Based on this information, the server generates hypothetical agenda items such as "market analysis," "technical feasibility," and "schedule planning," and provides them to the terminal. During the meeting, the server transcribes participants' comments in real time to support the discussion. After the meeting, the server organizes the results of the discussion, automatically generates meeting minutes, and distributes those minutes to everyone. 【0040】 This invention allows companies to improve the quality of meetings and reduce wasted time, thereby increasing overall organizational productivity. 【0041】 The following describes the processing flow. 【0042】 Step 1: 【0043】 The user enters the purpose of the meeting using their device. The entered information is immediately sent to the server. 【0044】 Step 2: 【0045】 The server searches the database based on the purpose of the meeting it receives. It collects past meeting data and related information and automatically generates a hypothetical meeting agenda. This hypothetical agenda is displayed on the terminal. 【0046】 Step 3: 【0047】 Once the meeting begins, users capture the meeting audio on their devices and send it to the server in real time. The server analyzes the audio data and transcribes the spoken content into text. 【0048】 Step 4: 【0049】 The server analyzes the text-based data, extracts important keywords, and displays them on the terminal. This makes it easier for users to track the progress of the meeting. 【0050】 Step 5: 【0051】 During the meeting, the server searches for relevant information and past meeting minutes as needed and displays them on the user's terminal to support the meeting's progress. 【0052】 Step 6: 【0053】 After the meeting, the server summarizes the results of the discussion and documents the decisions made and the next steps to be taken. 【0054】 Step 7: 【0055】 The server automatically generates meeting minutes and sends them to all participants via email. Simultaneously, the generated minutes are also saved to cloud storage. 【0056】 This series of steps allows users to conduct meetings efficiently and effectively. 【0057】 (Example 1) 【0058】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0059】 Current meeting systems have limited efficiency and productivity, and users bear a heavy burden in managing the flow of meetings and creating minutes. In this situation, there is a growing need for a system that supports smooth meeting progress and enables rapid follow-up after meetings. 【0060】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0061】 In this invention, the server includes means for inputting the purpose through a user device, means for acquiring past information from an information recording medium and generating anticipated agenda items, and means for instantly analyzing audio information and generating text information. This enables efficient meeting progress and reduces the amount of follow-up work after the meeting. 【0062】 A "user device" is a terminal device used by users participating in a meeting to input their purpose and related information. 【0063】 An "information recording medium" is a storage device such as a database that stores past meeting data and related information. 【0064】 "Audio information" refers to audio data recorded from participants' statements during a meeting. 【0065】 "Textual information" refers to text data generated by analyzing audio information. 【0066】 "Notification" refers to a means of transmitting generated research results and new ideas to the user's device. 【0067】 "Highlighting" is a technique that makes parts of text information stand out to ensure that important terms are clearly recognized by the user. 【0068】 This invention is a system that improves the efficiency and results of meetings. The system begins with the user inputting the purpose of the meeting via a terminal, and this input data being sent to a server. The terminal can be a standard computer, tablet, or smartphone as the user interface. The server is a high-performance processing unit that communicates with a database and retrieves necessary information from an information recording medium. 【0069】 The server automatically generates hypothetical meeting agendas using a generative AI model based on acquired past meeting data and related information. This process requires high-speed processors and sufficient memory to process large amounts of information instantly. The generated agendas are then communicated to the user through a user interface. 【0070】 During the meeting, the terminal collects the user's speech as audio data and sends it to the server. Speech recognition software is used to convert the audio information into text in real time. By transcribing the audio data, important terms are extracted and highlighted on the terminal. This allows users to understand the meeting content more clearly. 【0071】 Furthermore, the server provides relevant information and past meeting minutes in real time during the meeting. Providing information at the right time supports users in making quick and accurate decisions. 【0072】 Finally, after the meeting concludes, the server organizes the generated text information and automatically creates meeting minutes. This automation streamlines user follow-up tasks. The generated minutes are sent to all participants via email or cloud storage. 【0073】 For example, if a user is holding a meeting about a new product launch plan, they can input the objective "to finalize the next product launch" into the terminal. Based on this input, the server generates agenda items such as "market trend analysis," "examination of technical challenges," and "formulation of a release schedule," and notifies the user. Also, if someone says something like "Do you have the latest data on market trends?" during the meeting, the audio is immediately transcribed into text, and the necessary information is provided to the user. 【0074】 This invention makes it possible to streamline meetings and improve the overall productivity of the organization. 【0075】 An example of a prompt for a generative AI model would be text such as, "Generate the agenda for the next product launch meeting." 【0076】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0077】 Step 1: 【0078】 The user enters the purpose of the meeting. 【0079】 The user uses a terminal to input the specific purpose of the meeting. The terminal organizes this information in a digital format and sends it to the server. The input data is in the form of "Specification of the next product launch." The output here is the meeting purpose data sent to the server. 【0080】 Step 2: 【0081】 The server searches the database and generates a list of potential topics. 【0082】 The server searches the information storage medium using the received meeting purpose data. It retrieves relevant past information and meeting records from the database and uses a generative AI model to create hypothetical agenda items based on that information. The input is the meeting purpose data, and the output is the generated hypothetical agenda items (e.g., "Market Trend Analysis," "Consideration of Technical Challenges"). This is then notified to the terminal. 【0083】 Step 3: 【0084】 The device collects the user's speech as audio data. 【0085】 The device uses its microphone to collect audio data of what the user says during the meeting. This audio data becomes the input for transmission to the server. The output here is the audio data that is transmitted. 【0086】 Step 4: 【0087】 The server converts the audio data into text information. 【0088】 The server analyzes the received audio information in real time using speech recognition software and converts it into text. The input is audio data, and the output is the generated text information. Furthermore, important terms are extracted using this text information. 【0089】 Step 5: 【0090】 The device highlights important terms. 【0091】 Text information containing important terms, output from the server, is sent to the terminal and visually highlighted on the user interface. This allows the user to clearly understand the meeting content. The input is text information with important terms, and the output is a visually highlighted text display. 【0092】 Step 6: 【0093】 The server provides relevant information to assist in the progress of the meeting. 【0094】 Based on the progress of the meeting, the server searches the database for relevant additional information and past meeting minutes, and sends them to the terminal as needed. The input is information on the progress of the meeting, and the output is timely provision of additional information. 【0095】 Step 7: 【0096】 The server automatically generates and sends the meeting minutes. 【0097】 After the meeting ends, the server organizes the text information generated during the meeting and automatically creates meeting minutes. These minutes are then sent to all participants via email or cloud storage. The input is the text information generated during the meeting, and the output is the automatically generated meeting minutes. 【0098】 (Application Example 1) 【0099】 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." 【0100】 In the modern information technology field, efficient management of meetings and conferences, along with rapid information sharing, are essential for effective decision-making. However, typical meetings are time-consuming due to the need to gather information and create minutes, and technical terminology may not be accurately shared. Furthermore, insufficient utilization of past technical documents can lead to a decline in the quality of discussions. In addition, the lack of centralized storage and sharing of generated meeting minutes presents challenges in information management. There is a need to solve these problems and realize efficient and high-quality meetings. 【0101】 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. 【0102】 In this invention, the server includes means for inputting the purpose of the meeting via a user input device, means for acquiring past meeting information from an information storage device and generating a hypothetical agenda for the meeting, means for analyzing audio information in real time and generating text information, means for highlighting technical terms through the analysis of audio information, means for acquiring past technical documents, and means for saving records in cloud storage. This improves the quality of meetings and enables efficient sharing and management of information. 【0103】 A "user input device" is a device used to input the purpose and information of a meeting, and it is a device that users can directly operate to send information to the server. 【0104】 An "information storage device" is a system for storing and managing past meeting information and technical documents, and is responsible for quickly providing this information as needed. 【0105】 "Audio information" refers to the voices spoken by participants during a meeting, and is raw data used to mechanically analyze and convert it into text information. 【0106】 "Textual information" refers to text data generated by analyzing audio information, and is used for recording meetings and highlighting important keywords. 【0107】 "Technical terms" are specialized words used in a particular technological field and are important keywords that will be the focus of discussion during the meeting. 【0108】 "Cloud storage" is a technology that allows generated records and data to be stored using internet services and accessed when needed. 【0109】 To realize this invention, the system is configured in which a server, terminals, and users work together to operate the system. In developing the program, the user inputs the purpose of the meeting using a smartphone or tablet device, and this information is sent to the server. The server operates on the cloud and uses an information storage device to instantly retrieve past meeting data and technical documents, and generates a hypothetical agenda for the meeting. 【0110】 The server also uses speech recognition technology to transcribe audio information collected during the meeting into text in real time. This process utilizes speech recognition technologies such as Google® Cloud Speech-to-Text API and Amazon Transcribe to generate highly accurate text. The generated text is then analyzed using natural language processing libraries (e.g., spaCy and NLTK), and important technical terms are highlighted. 【0111】 By leveraging cloud storage technology, users can access and manage important information in real time. The generated meeting minutes are stored on cloud services such as AWS® S3 and Google Cloud Storage, and can be shared as needed. 【0112】 A concrete example of implementing this system is a meeting within a data center to discuss the introduction of new technologies. Before the meeting, users input "risks and benefits of technology introduction" as the meeting's topic. The server then sets anticipated agenda items such as "technical evaluation" and "cost analysis," and notifies terminals of relevant technical documents. 【0113】 Examples of prompt statements for a generative AI model are as follows: 【0114】 "Please summarize the key points from the meeting where we discussed the risks and benefits of technology adoption, and propose the next steps. The challenges included technology evaluation and cost analysis." 【0115】 This format enables efficient information management and sharing, thereby improving the overall productivity of the meeting. 【0116】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0117】 Step 1: 【0118】 The user enters the purpose of the meeting using a terminal. This input is sent to the server as text data. Based on the entered purpose of the meeting, the server generates an appropriate database search query. 【0119】 Step 2: 【0120】 The server searches the database in the information storage device based on the purpose of the meeting and retrieves past meeting data. The retrieved data includes relevant technical documents and topics that were previously discussed on the agenda. Based on this, the server aggregates the information, generates a potential agenda, and sends it to the terminal. 【0121】 Step 3: 【0122】 During the meeting, the terminal collects audio data in real time and transfers it to the server. The server uses a speech recognition API (such as Google Cloud Speech-to-Text API or Amazon Transcribe) to convert the audio data into text. This ensures that speeches during the meeting are recorded as text. 【0123】 Step 4: 【0124】 The server analyzes the generated text information using natural language processing tools (spaCy or NLTK). Through this analysis, important technical terms and keywords are extracted and highlighted on the terminal. Users then proceed with the discussion based on the highlighted information. 【0125】 Step 5: 【0126】 After the meeting concludes, the server automatically generates meeting minutes based on the accumulated textual information. The minutes are organized using a generation AI model to ensure they include key points of the discussion and the next steps to be taken. 【0127】 Step 6: 【0128】 The generated meeting minutes are stored in a cloud storage service. Simultaneously, the server automatically sends the minutes to the participants' email addresses. This allows all participants to easily access the information and quickly plan their next steps. 【0129】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0130】 This invention combines a system designed to improve the efficiency and results of meetings with an emotion engine that recognizes user emotions and assists in facilitating the meeting. First, the user inputs the purpose of the meeting using a terminal, and this information is sent to a server. The server searches a database, retrieves past meeting data and related information, automatically generates a hypothetical meeting agenda, and provides it to the terminal. 【0131】 During the meeting, the terminal captures the user's speech as audio data and sends it to the server. A newly installed emotion engine then analyzes the audio data to recognize the user's emotions in real time. This emotion data is used to generate feedback tailored to the progress of the meeting. Based on the emotions analyzed by the emotion engine, the server displays information on the terminal regarding the meeting's atmosphere and the emotional state of the participants. It also extracts important keywords, which are highlighted on the terminal. 【0132】 Furthermore, the server has a feature that uses the emotional data accumulated during the meeting to suggest the next action based on the user's emotions. This allows users to easily make decisions that respond immediately to changes in their emotions. After the meeting ends, the server, as a conventional function, uses the text and emotional data generated during the meeting to organize the results of the discussion, document the decisions and next actions, and automatically generate meeting minutes. These minutes are sent to all participants via email and stored in cloud storage. 【0133】 As a concrete example, consider a new product development meeting. In this case, if the user enters "concretizing the next product launch plan" as the purpose of the meeting into the terminal, the server automatically generates hypothetical agenda items such as "market analysis" and "technical feasibility." During the meeting, the emotion engine recognizes emotions from the participants' voices, and if there are many positive responses, it suggests "we should proceed in this direction." Conversely, if there are many negative emotions, it displays a warning such as "consideration from a different perspective is needed," thereby supporting the user's decision-making. After the meeting, the server generates meeting minutes that also take this emotion data into account, enabling rapid follow-up. 【0134】 The following describes the processing flow. 【0135】 Step 1: 【0136】 The user enters the purpose of the meeting using their device. This information is immediately sent to the server. 【0137】 Step 2: 【0138】 The server searches its database based on the purpose of the received meeting, collecting past meeting data and related information. This allows it to automatically generate a hypothetical agenda and provide it to the terminal. 【0139】 Step 3: 【0140】 Once the meeting begins, the terminal collects the user's statements as audio data and transmits it to the server in real time. 【0141】 Step 4: 【0142】 The server analyzes audio data in real time, generates text data, and uses an emotion engine to recognize the user's emotions. 【0143】 Step 5: 【0144】 Based on the emotional data analyzed by the emotion engine, the server analyzes the atmosphere of the meeting and the emotional state of the participants in real time, and displays emotional feedback on the terminal. 【0145】 Step 6: 【0146】 As the meeting progresses, the server extracts key keywords and highlights them on the terminal. Simultaneously, it generates and presents suggestions for the next action based on sentiment data. 【0147】 Step 7: 【0148】 After the meeting ends, the server uses the text and sentiment data collected during the meeting to organize the results of the discussion. The server automatically generates meeting minutes, which are emailed to all participants and also saved to cloud storage. 【0149】 This processing flow makes it easier for users to understand the changes in opinions and emotions during meetings, creating a system that supports effective decision-making. 【0150】 (Example 2) 【0151】 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." 【0152】 In meetings, participants' emotions and reactions often influence important decision-making. However, conventional meeting support systems have limitations in their ability to grasp participants' emotional states in real time and provide feedback, resulting in insufficient information for participants to make appropriate decisions. This has made it difficult to improve the efficiency of meeting management and the quality of decision-making. 【0153】 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. 【0154】 In this invention, the server includes means for analyzing voice information to recognize emotional states, means for proposing the next action based on emotional data, and means for automatically generating anticipated agenda items based on the purpose of the meeting. This makes it possible to grasp the emotional states of participants in real time during the meeting and provide optimal feedback. 【0155】 A "user" is a person or organization that operates the system and enters the purpose of the meeting. 【0156】 A "data storage device" is a device used to store past meeting data and related information, and to retrieve them as needed. 【0157】 "Audio information" refers to data obtained as digital data from what participants say during a meeting. 【0158】 "Natural language text" refers to data obtained by analyzing audio information and converting it into a written format that humans can understand. 【0159】 An "output device" is a device used to communicate the progress of a meeting and provide feedback to participants. 【0160】 "Emotional state" refers to information that indicates the participant's feelings and reactions, obtained through the analysis of audio data. 【0161】 "Feedback" refers to information that provides advice and suggestions regarding the next steps or decision-making process, taking into account the emotional state of participants during the meeting. 【0162】 "Action" refers to specific countermeasures or means used in meeting management and decision-making processes. 【0163】 A "member" is an individual or organization that participates in a meeting using the system and receives the meeting minutes. 【0164】 A "concept" refers to an important idea or theme that was discussed during the meeting. 【0165】 The embodiments for carrying out this invention are described below. 【0166】 The user enters the purpose of the meeting using a terminal. This terminal then transmits the entered purpose information to the server. The terminal hardware is a general-purpose computer or smart device, and the software implements a user interface and communication module. 【0167】 The server searches its data storage for past meeting data based on the information it receives. Based on these search results, a process is initiated to automatically generate a hypothetical meeting agenda. The server hardware uses standard server equipment, while the software includes a database management system and natural language generation algorithms. 【0168】 During a meeting, the terminal captures the user's speech as audio information via the microphone and transmits it to the server in real time. This audio information is converted into natural language text by speech recognition technology on the server, and the emotional state is recognized by an emotion engine. The emotion engine uses machine learning models to analyze the audio data and estimate emotions. 【0169】 The server generates and sends real-time feedback to the terminal based on the analyzed sentiment data. This feedback suggests appropriate actions for meeting participants and is displayed on the terminal's screen. 【0170】 As a concrete example, suppose a user enters "determining the market launch schedule" into a terminal during a product development meeting. In this case, the server automatically generates agenda items such as "competitor analysis" and "production plan." If there are many positive emotions during the meeting, feedback such as "maintain this direction" will be provided. Conversely, if negative emotions are detected, a suggestion such as "reconsideration is needed" will be made. 【0171】 An example of a prompt might be, "Design a system that uses audio data from a meeting to analyze participants' emotions in real time and optimize the meeting's progress." 【0172】 This invention is a system that enables efficient meeting management and improved quality of decisions through the collaboration of users, terminals, and servers. 【0173】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0174】 Step 1: 【0175】 The user enters the purpose of the meeting using the terminal. Once the user enters the text and clicks the "Send" button, the terminal sends the information to the server using the HTTP protocol. At this stage, the input is the purpose of the meeting, and the output is the transmission of information to the server. 【0176】 Step 2: 【0177】 The server searches its data storage for relevant past meeting data based on the received meeting purpose information. Using this data, the server activates an automated agenda generation algorithm to generate hypothetical agenda items. The inputs are the meeting purpose and past data, and the output is the generated hypothetical agenda. The generated agenda items are then sent from the server to the terminal and provided to the user. 【0178】 Step 3: 【0179】 The terminal acquires user speech as audio information during a meeting. The microphone converts the audio into digital audio data, and the terminal sends this data to the server in a batch processing format. The input is the user's voice, and the output is digital audio data. 【0180】 Step 4: 【0181】 The server converts the received audio data into natural language text using speech recognition software. During this process, a generative AI model is used for speech transcription. The input is audio data, and the output is text data. 【0182】 Step 5: 【0183】 The server analyzes text data using an emotion engine to estimate the user's emotional state. Using machine learning algorithms, it extracts emotional features from this text data and recognizes positive or negative emotions. The input is text data, and the output is the emotional state. 【0184】 Step 6: 【0185】 The server generates feedback information based on the analyzed emotional state and sends it to the terminal. The feedback takes into account the meeting agenda and emotional state, and includes suggestions such as "maintain the current direction if there are many positive emotions." The input is the emotional state and agenda, and the output is the feedback information. The terminal displays this information to the user. 【0186】 Step 7: 【0187】 The server ultimately analyzes the data collected throughout the entire meeting and automatically generates meeting minutes. Using natural language generation technology, the server compiles the agenda and sentiment data extracted during the meeting into a document. The input is all the meeting data, and the output is the generated meeting minutes. The minutes are emailed to the participants and stored in cloud storage. 【0188】 (Application Example 2) 【0189】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0190】 Traditional meeting systems and customer service methods in stores often struggle to respond immediately to the emotions of participants and customers, hindering efficient and smooth progress and service delivery. Furthermore, they fail to leverage emotional shifts for effective decision-making and service optimization. 【0191】 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. 【0192】 In this invention, the server includes means for inputting the purpose of a meeting via a user input device, means for acquiring past meeting data from a database and generating a hypothetical meeting agenda, means for analyzing audio data in real time and generating text data, means for providing relevant information to terminals during the meeting to support the progress of the meeting, means for organizing the results of the discussion after the meeting and automatically generating meeting minutes, means for automatically sending the generated meeting minutes to participants, means for processing audio and video data acquired by terminal devices with an analysis device to identify emotional states and display them on an information display device, and means for providing suggestions to optimize services based on the emotional state of the customer. This enables immediate responses to the emotions of participants and customers, thereby improving the efficiency and quality of meetings and customer service. 【0193】 A "user input device" refers to a device used by users to input information such as the purpose of a meeting into a terminal. 【0194】 A "database" refers to a system that stores information such as past meeting data and allows it to be searched and retrieved as needed. 【0195】 "Audio data" refers to audio information that records the content of conversations during a meeting. 【0196】 "Real-time analysis" refers to processing data instantly and obtaining results immediately. 【0197】 "Text data" refers to character information generated by analyzing audio data. 【0198】 "Related information" refers to supplementary data and materials needed during the meeting. 【0199】 "The results of the discussion" refers to the conclusions and decisions reached during the meeting. 【0200】 "Meeting minutes" refers to a document that summarizes and records the content and decisions made at a meeting. 【0201】 "Terminal device" refers to an electronic device used for inputting or outputting information. 【0202】 "Audio and video data" refers to the spoken voice and visual information such as facial expressions of users and customers. 【0203】 An "analysis device" refers to a device that processes audio and video data and analyzes that data. 【0204】 "Emotional state" refers to information that indicates the psychological and emotional state of a user or customer. 【0205】 An "information display device" refers to a device equipped with a display for visually presenting analysis results to the user. 【0206】 "Suggestions for optimizing services" refers to information that presents the most suitable products and services based on the customer's emotions. 【0207】 To realize this invention, it is necessary to construct a system in which a server, terminal device, analysis device, and information display device work in coordination. The server receives information about the purpose of the meeting from the user input device and uses this information as a key to access the database. This allows the server to retrieve past meeting data, generate a hypothetical agenda, and provide it to the terminal. 【0208】 The terminal device is responsible for analyzing audio data generated during the meeting in real time and generating text data. The software used for this purpose is likely to be one of the currently available audio analysis engines. The generated text data, along with related information, is displayed on the terminal to support the progress of the meeting. 【0209】 Furthermore, the terminal device acquires audio and video data and transmits it to an analysis device. This analysis device processes the data in an advanced manner to identify the emotional state of the user or customer. The results are displayed in real time on an information display device and used to facilitate customer interaction. 【0210】 As a concrete example, consider a scenario where a store employee wears an information display device and analyzes video and audio through interaction with customers to identify their emotions. In this case, the display would show suggestions to optimize services for products the customer has shown interest in, allowing the employee to take an appropriate approach to the customer. This would make it possible to improve customer satisfaction. 【0211】 Examples of prompt messages include: "Generate a program that uses the customer's voice and video data to recognize emotions in real time and display the results on smart glasses." 【0212】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0213】 Step 1: 【0214】 The user enters the purpose of the meeting via a terminal device. The entered purpose is sent to the server, which uses this information as a key to access the database. The server searches past meeting data, generates a list of potential agenda items based on that information, and provides them to the terminal. The input is the purpose of the meeting, and the output is a list of potential agenda items. 【0215】 Step 2: 【0216】 When a meeting begins, the terminal device acquires audio data and sends it to the server in real time. The server uses a speech analysis engine to convert the audio data into text data. The input is audio data, and the output is text data. Specifically, the analysis involves converting speech to text using speech recognition technology. 【0217】 Step 3: 【0218】 During the meeting, the terminal device acquires audio and video data from the user and transmits it to the analysis device. The analysis device uses an AI model to identify the user's emotional state from changes in voice and facial expressions. The input is audio and video data, and the output is the emotion analysis result. Specifically, the process involves analyzing psychological characteristics using an emotion recognition algorithm. 【0219】 Step 4: 【0220】 The results of the emotional state generated by the analysis device are presented to the user in real time via an information display device. This allows the user to instantly decide on a response appropriate to the customer's emotions. The input is emotional state data, and the output is visual feedback information. Specific operations include displaying the emotional results on the display. 【0221】 Step 5: 【0222】 After the meeting ends, the server organizes the text and sentiment data acquired during the meeting and automatically generates meeting minutes that document the results of the discussion and decisions made. The input is text data and sentiment data, and the output is the meeting minutes. The specific operation involves a documenting process using natural language processing techniques. 【0223】 Step 6: 【0224】 Finally, the server emails the generated meeting minutes to all participants and saves them to cloud storage. The input is the meeting minutes, and the output is email and storage. The specific operations are transmission and data storage using electronic communication methods. 【0225】 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. 【0226】 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. 【0227】 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. 【0228】 [Second Embodiment] 【0229】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0230】 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. 【0231】 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). 【0232】 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. 【0233】 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. 【0234】 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). 【0235】 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. 【0236】 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. 【0237】 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. 【0238】 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. 【0239】 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. 【0240】 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". 【0241】 This invention provides a system for improving the efficiency and effectiveness of meetings. First, the user inputs the purpose of the meeting using a terminal. This information is sent to a server, which searches a relevant database to retrieve past meeting data and related information. Based on this data, the server automatically generates a hypothetical meeting agenda and provides it to the terminal. This allows the user to easily obtain the agenda necessary for the meeting. 【0242】 During the meeting, the device collects user speech as audio data and sends it to the server. The server analyzes the audio data in real time and generates text data. This visualizes the content of user speech, and important keywords are highlighted on the device, making it easy for all participants to understand the meeting's content. In addition, the server provides relevant information and minutes from past meetings in real time as the meeting progresses, supporting user decision-making. 【0243】 After the meeting ends, the server uses the text data generated during the meeting to organize the results of the discussion. Decisions and next actions are clarified, and meeting minutes are automatically generated. The server automatically sends these minutes to all participants and saves them to cloud storage. This process reduces the time spent on post-meeting follow-up, allowing users to quickly move on to the next steps. 【0244】 As a concrete example, consider a new product development meeting. When a user holds a meeting to plan the launch of the next product, they first input "To concretize the next product launch plan" as the purpose of the meeting into their terminal. Based on this information, the server generates hypothetical agenda items such as "market analysis," "technical feasibility," and "schedule planning," and provides them to the terminal. During the meeting, the server transcribes participants' comments in real time to support the discussion. After the meeting, the server organizes the results of the discussion, automatically generates meeting minutes, and distributes those minutes to everyone. 【0245】 This invention allows companies to improve the quality of meetings and reduce wasted time, thereby increasing overall organizational productivity. 【0246】 The following describes the processing flow. 【0247】 Step 1: 【0248】 The user enters the purpose of the meeting using their device. The entered information is immediately sent to the server. 【0249】 Step 2: 【0250】 The server searches the database based on the purpose of the meeting it receives. It collects past meeting data and related information and automatically generates a hypothetical meeting agenda. This hypothetical agenda is displayed on the terminal. 【0251】 Step 3: 【0252】 Once the meeting begins, users capture the meeting audio on their devices and send it to the server in real time. The server analyzes the audio data and transcribes the spoken content into text. 【0253】 Step 4: 【0254】 The server analyzes the text-based data, extracts important keywords, and displays them on the terminal. This makes it easier for users to track the progress of the meeting. 【0255】 Step 5: 【0256】 During the meeting, the server searches for relevant information and past meeting minutes as needed and displays them on the user's terminal to support the meeting's progress. 【0257】 Step 6: 【0258】 After the meeting, the server summarizes the results of the discussion and documents the decisions made and the next steps to be taken. 【0259】 Step 7: 【0260】 The server automatically generates meeting minutes and sends them to all participants via email. Simultaneously, the generated minutes are also saved to cloud storage. 【0261】 This series of steps allows users to conduct meetings efficiently and effectively. 【0262】 (Example 1) 【0263】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0264】 Current meeting systems have limited efficiency and productivity, and users bear a heavy burden in managing the flow of meetings and creating minutes. In this situation, there is a growing need for a system that supports smooth meeting progress and enables rapid follow-up after meetings. 【0265】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0266】 In this invention, the server includes means for inputting the purpose through a user device, means for acquiring past information from an information recording medium and generating anticipated agenda items, and means for instantly analyzing audio information and generating text information. This enables efficient meeting progress and reduces the amount of follow-up work after the meeting. 【0267】 A "user device" is a terminal device used by users participating in a meeting to input their purpose and related information. 【0268】 An "information recording medium" is a storage device such as a database that stores past meeting data and related information. 【0269】 "Audio information" refers to audio data recorded from participants' statements during a meeting. 【0270】 "Textual information" refers to text data generated by analyzing audio information. 【0271】 "Notification" refers to a means of transmitting generated research results and new ideas to the user's device. 【0272】 "Highlighting" is a technique that makes parts of text information stand out to ensure that important terms are clearly recognized by the user. 【0273】 This invention is a system that improves the efficiency and results of meetings. The system begins with the user inputting the purpose of the meeting via a terminal, and this input data being sent to a server. The terminal can be a standard computer, tablet, or smartphone as the user interface. The server is a high-performance processing unit that communicates with a database and retrieves necessary information from an information recording medium. 【0274】 The server automatically generates hypothetical meeting agendas using a generative AI model based on acquired past meeting data and related information. This process requires high-speed processors and sufficient memory to process large amounts of information instantly. The generated agendas are then communicated to the user through a user interface. 【0275】 During the meeting, the terminal collects the user's speech as audio data and sends it to the server. Speech recognition software is used to convert the audio information into text in real time. By transcribing the audio data, important terms are extracted and highlighted on the terminal. This allows users to understand the meeting content more clearly. 【0276】 Furthermore, the server provides relevant information and past meeting minutes in real time during the meeting. Providing information at the right time supports users in making quick and accurate decisions. 【0277】 Finally, after the meeting concludes, the server organizes the generated text information and automatically creates meeting minutes. This automation streamlines user follow-up tasks. The generated minutes are sent to all participants via email or cloud storage. 【0278】 As a specific example, when a user holds a meeting regarding the release plan of a new product, the user can input the purpose of "concretizing the next product release" into the terminal. Based on this input, the server generates topics such as "market trend analysis", "consideration of technical issues", and "formulation of release schedule", and notifies the user. Also, if there is a statement such as "Is there any latest data on market trends?" during the meeting, the voice is immediately converted into text, and the necessary information is provided to the user. 【0279】 With this invention, the progress of the meeting can be made smooth, and it is possible to improve the overall productivity of the organization. 【0280】 As an example of the prompt text for the generation AI model, it is conceivable to use text such as "Please generate meeting topics regarding the next product release". 【0281】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0282】 Step 1: 【0283】 The user inputs the purpose of the meeting. 【0284】 The user uses the terminal to input the specific purpose of the meeting. The terminal organizes this information in digital format and sends it to the server. The input data is in the form of "concretizing the next product release". The output here is the data of the meeting purpose sent to the server. 【0285】 Step 2: 【0286】 The server searches the database and generates assumed topics. 【0287】 The server searches the information storage medium using the received meeting purpose data. It retrieves relevant past information and meeting records from the database and uses a generative AI model to create hypothetical agenda items based on that information. The input is the meeting purpose data, and the output is the generated hypothetical agenda items (e.g., "Market Trend Analysis," "Consideration of Technical Challenges"). This is then notified to the terminal. 【0288】 Step 3: 【0289】 The device collects the user's speech as audio data. 【0290】 The device uses its microphone to collect audio data of what the user says during the meeting. This audio data becomes the input for transmission to the server. The output here is the audio data that is transmitted. 【0291】 Step 4: 【0292】 The server converts the audio data into text information. 【0293】 The server analyzes the received audio information in real time using speech recognition software and converts it into text. The input is audio data, and the output is the generated text information. Furthermore, important terms are extracted using this text information. 【0294】 Step 5: 【0295】 The device highlights important terms. 【0296】 Text information containing important terms, output from the server, is sent to the terminal and visually highlighted on the user interface. This allows the user to clearly understand the meeting content. The input is text information with important terms, and the output is a visually highlighted text display. 【0297】 Step 6: 【0298】 The server provides relevant information to assist in the progress of the meeting. 【0299】 Based on the progress of the meeting, the server searches the database for relevant additional information and past meeting minutes, and sends them to the terminal as needed. The input is information on the progress of the meeting, and the output is timely provision of additional information. 【0300】 Step 7: 【0301】 The server automatically generates and sends the meeting minutes. 【0302】 After the meeting ends, the server organizes the text information generated during the meeting and automatically creates meeting minutes. These minutes are then sent to all participants via email or cloud storage. The input is the text information generated during the meeting, and the output is the automatically generated meeting minutes. 【0303】 (Application Example 1) 【0304】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0305】 In the modern information technology field, efficient management of meetings and conferences, along with rapid information sharing, are essential for effective decision-making. However, typical meetings are time-consuming due to the need to gather information and create minutes, and technical terminology may not be accurately shared. Furthermore, insufficient utilization of past technical documents can lead to a decline in the quality of discussions. In addition, the lack of centralized storage and sharing of generated meeting minutes presents challenges in information management. There is a need to solve these problems and realize efficient and high-quality meetings. 【0306】 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. 【0307】 In this invention, the server includes means for inputting the purpose of a meeting by a user input device, means for obtaining past meeting information from an information storage device and generating an assumed topic of the meeting, means for analyzing voice information in real time and generating character information, means for highlighting technical terms by analyzing the voice information, means for obtaining past technical documents, and means for storing records in cloud storage. Thereby, the quality of the meeting is improved, and efficient sharing and management of information become possible. 【0308】 The "user input device" is a device for inputting the purpose and information of a meeting, and is a device that plays a role of directly operating by the user and transmitting information to the server. 【0309】 The "information storage device" is a system for storing and managing past meeting information and technical documents, and is a device that plays a role of quickly providing these information as needed. 【0310】 The "voice information" refers to the voice emitted by participants during a meeting, and is raw data for mechanically analyzing this and converting it into character information. 【0311】 The "character information" is text data generated by analyzing voice information, and is information used for recording a meeting and highlighting important keywords. 【0312】 The "technical term" is a specialized word used in a specific technical field, and is an important keyword that becomes the focus of discussion during a meeting. 【0313】 The "cloud storage" is a technology for storing generated records and data using services on the Internet so that they can be accessed when needed. 【0314】 To realize this invention, the system is configured in which a server, terminals, and users work together to operate the system. In developing the program, the user inputs the purpose of the meeting using a smartphone or tablet device, and this information is sent to the server. The server operates on the cloud and uses an information storage device to instantly retrieve past meeting data and technical documents, and generates a hypothetical agenda for the meeting. 【0315】 The server also uses speech recognition technology to transcribe audio information collected during the meeting into text in real time. This process utilizes speech recognition technologies such as Google Cloud Speech-to-Text API and Amazon Transcribe to generate highly accurate text. The generated text is then analyzed using natural language processing libraries (e.g., spaCy and NLTK), and important technical terms are highlighted. 【0316】 By leveraging cloud storage technology, users can access and manage important information in real time. The generated meeting minutes are stored in cloud services such as AWS S3 and Google Cloud Storage, and the information can be shared as needed. 【0317】 A concrete example of implementing this system is a meeting within a data center to discuss the introduction of new technologies. Before the meeting, users input "risks and benefits of technology introduction" as the meeting's topic. The server then sets anticipated agenda items such as "technical evaluation" and "cost analysis," and notifies terminals of relevant technical documents. 【0318】 Examples of prompt statements for a generative AI model are as follows: 【0319】 "Please summarize the key points from the meeting where we discussed the risks and benefits of technology adoption, and propose the next steps. The challenges included technology evaluation and cost analysis." 【0320】 This format enables efficient information management and sharing, thereby improving the overall productivity of the meeting. 【0321】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0322】 Step 1: 【0323】 The user enters the purpose of the meeting using a terminal. This input is sent to the server as text data. Based on the entered purpose of the meeting, the server generates an appropriate database search query. 【0324】 Step 2: 【0325】 The server searches the database in the information storage device based on the purpose of the meeting and retrieves past meeting data. The retrieved data includes relevant technical documents and topics that were previously discussed on the agenda. Based on this, the server aggregates the information, generates a potential agenda, and sends it to the terminal. 【0326】 Step 3: 【0327】 During the meeting, the terminal collects audio data in real time and transfers it to the server. The server uses a speech recognition API (such as Google Cloud Speech-to-Text API or Amazon Transcribe) to convert the audio data into text. This ensures that speeches during the meeting are recorded as text. 【0328】 Step 4: 【0329】 The server analyzes the generated text information using natural language processing tools (spaCy or NLTK). Through this analysis, important technical terms and keywords are extracted and highlighted on the terminal. Users then proceed with the discussion based on the highlighted information. 【0330】 Step 5: 【0331】 After the meeting concludes, the server automatically generates meeting minutes based on the accumulated textual information. The minutes are organized using a generation AI model to ensure they include key points of the discussion and the next steps to be taken. 【0332】 Step 6: 【0333】 The generated meeting minutes are stored in a cloud storage service. Simultaneously, the server automatically sends the minutes to the participants' email addresses. This allows all participants to easily access the information and quickly plan their next steps. 【0334】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0335】 This invention combines a system designed to improve the efficiency and results of meetings with an emotion engine that recognizes user emotions and assists in facilitating the meeting. First, the user inputs the purpose of the meeting using a terminal, and this information is sent to a server. The server searches a database, retrieves past meeting data and related information, automatically generates a hypothetical meeting agenda, and provides it to the terminal. 【0336】 During the meeting, the terminal captures the user's speech as audio data and sends it to the server. A newly installed emotion engine then analyzes the audio data to recognize the user's emotions in real time. This emotion data is used to generate feedback tailored to the progress of the meeting. Based on the emotions analyzed by the emotion engine, the server displays information on the terminal regarding the meeting's atmosphere and the emotional state of the participants. It also extracts important keywords, which are highlighted on the terminal. 【0337】 Furthermore, the server has a feature that uses the emotional data accumulated during the meeting to suggest the next action based on the user's emotions. This allows users to easily make decisions that respond immediately to changes in their emotions. After the meeting ends, the server, as a conventional function, uses the text and emotional data generated during the meeting to organize the results of the discussion, document the decisions and next actions, and automatically generate meeting minutes. These minutes are sent to all participants via email and stored in cloud storage. 【0338】 As a concrete example, consider a new product development meeting. In this case, if the user enters "concretizing the next product launch plan" as the purpose of the meeting into the terminal, the server automatically generates hypothetical agenda items such as "market analysis" and "technical feasibility." During the meeting, the emotion engine recognizes emotions from the participants' voices, and if there are many positive responses, it suggests "we should proceed in this direction." Conversely, if there are many negative emotions, it displays a warning such as "consideration from a different perspective is needed," thereby supporting the user's decision-making. After the meeting, the server generates meeting minutes that also take this emotion data into account, enabling rapid follow-up. 【0339】 The following describes the processing flow. 【0340】 Step 1: 【0341】 The user enters the purpose of the meeting using their device. This information is immediately sent to the server. 【0342】 Step 2: 【0343】 The server searches its database based on the purpose of the received meeting, collecting past meeting data and related information. This allows it to automatically generate a hypothetical agenda and provide it to the terminal. 【0344】 Step 3: 【0345】 Once the meeting begins, the terminal collects the user's statements as audio data and transmits it to the server in real time. 【0346】 Step 4: 【0347】 The server analyzes audio data in real time, generates text data, and uses an emotion engine to recognize the user's emotions. 【0348】 Step 5: 【0349】 Based on the emotional data analyzed by the emotion engine, the server analyzes the atmosphere of the meeting and the emotional state of the participants in real time, and displays emotional feedback on the terminal. 【0350】 Step 6: 【0351】 As the meeting progresses, the server extracts key keywords and highlights them on the terminal. Simultaneously, it generates and presents suggestions for the next action based on sentiment data. 【0352】 Step 7: 【0353】 After the meeting ends, the server uses the text and sentiment data collected during the meeting to organize the results of the discussion. The server automatically generates meeting minutes, which are emailed to all participants and also saved to cloud storage. 【0354】 This processing flow makes it easier for users to understand the changes in opinions and emotions during meetings, creating a system that supports effective decision-making. 【0355】 (Example 2) 【0356】 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". 【0357】 In meetings, participants' emotions and reactions often influence important decision-making. However, conventional meeting support systems have limitations in their ability to grasp participants' emotional states in real time and provide feedback, resulting in insufficient information for participants to make appropriate decisions. This has made it difficult to improve the efficiency of meeting management and the quality of decision-making. 【0358】 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. 【0359】 In this invention, the server includes means for analyzing voice information to recognize emotional states, means for proposing the next action based on emotional data, and means for automatically generating anticipated agenda items based on the purpose of the meeting. This makes it possible to grasp the emotional states of participants in real time during the meeting and provide optimal feedback. 【0360】 A "user" is a person or organization that operates the system and enters the purpose of the meeting. 【0361】 A "data storage device" is a device used to store past meeting data and related information, and to retrieve them as needed. 【0362】 "Audio information" refers to data obtained as digital data from what participants say during a meeting. 【0363】 "Natural language text" refers to data obtained by analyzing audio information and converting it into a written format that humans can understand. 【0364】 An "output device" is a device used to communicate the progress of a meeting and provide feedback to participants. 【0365】 "Emotional state" refers to information that indicates the participant's feelings and reactions, obtained through the analysis of audio data. 【0366】 "Feedback" refers to information that provides advice and suggestions regarding the next steps or decision-making process, taking into account the emotional state of participants during the meeting. 【0367】 "Action" refers to specific countermeasures or means used in meeting management and decision-making processes. 【0368】 A "member" is an individual or organization that participates in a meeting using the system and receives the meeting minutes. 【0369】 A "concept" refers to an important idea or theme that was discussed during the meeting. 【0370】 The embodiments for carrying out this invention are described below. 【0371】 The user enters the purpose of the meeting using a terminal. This terminal then transmits the entered purpose information to the server. The terminal hardware is a general-purpose computer or smart device, and the software implements a user interface and communication module. 【0372】 The server searches its data storage for past meeting data based on the information it receives. Based on these search results, a process is initiated to automatically generate a hypothetical meeting agenda. The server hardware uses standard server equipment, while the software includes a database management system and natural language generation algorithms. 【0373】 During a meeting, the terminal captures the user's speech as audio information via the microphone and transmits it to the server in real time. This audio information is converted into natural language text by speech recognition technology on the server, and the emotional state is recognized by an emotion engine. The emotion engine uses machine learning models to analyze the audio data and estimate emotions. 【0374】 The server generates and sends real-time feedback to the terminal based on the analyzed sentiment data. This feedback suggests appropriate actions for meeting participants and is displayed on the terminal's screen. 【0375】 As a concrete example, suppose a user enters "determining the market launch schedule" into a terminal during a product development meeting. In this case, the server automatically generates agenda items such as "competitor analysis" and "production plan." If there are many positive emotions during the meeting, feedback such as "maintain this direction" will be provided. Conversely, if negative emotions are detected, a suggestion such as "reconsideration is needed" will be made. 【0376】 An example of a prompt might be, "Design a system that uses audio data from a meeting to analyze participants' emotions in real time and optimize the meeting's progress." 【0377】 This invention is a system that enables efficient meeting management and improved quality of decisions through the collaboration of users, terminals, and servers. 【0378】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0379】 Step 1: 【0380】 The user enters the purpose of the meeting using the terminal. Once the user enters the text and clicks the "Send" button, the terminal sends the information to the server using the HTTP protocol. At this stage, the input is the purpose of the meeting, and the output is the transmission of information to the server. 【0381】 Step 2: 【0382】 The server searches its data storage for relevant past meeting data based on the received meeting purpose information. Using this data, the server activates an automated agenda generation algorithm to generate hypothetical agenda items. The inputs are the meeting purpose and past data, and the output is the generated hypothetical agenda. The generated agenda items are then sent from the server to the terminal and provided to the user. 【0383】 Step 3: 【0384】 The terminal acquires user speech as audio information during a meeting. The microphone converts the audio into digital audio data, and the terminal sends this data to the server in a batch processing format. The input is the user's voice, and the output is digital audio data. 【0385】 Step 4: 【0386】 The server converts the received audio data into natural language text using speech recognition software. During this process, a generative AI model is used for speech transcription. The input is audio data, and the output is text data. 【0387】 Step 5: 【0388】 The server analyzes text data using an emotion engine to estimate the user's emotional state. Using machine learning algorithms, it extracts emotional features from this text data and recognizes positive or negative emotions. The input is text data, and the output is the emotional state. 【0389】 Step 6: 【0390】 The server generates feedback information based on the analyzed emotional state and sends it to the terminal. The feedback takes into account the meeting agenda and emotional state, and includes suggestions such as "maintain the current direction if there are many positive emotions." The input is the emotional state and agenda, and the output is the feedback information. The terminal displays this information to the user. 【0391】 Step 7: 【0392】 The server ultimately analyzes the data collected throughout the entire meeting and automatically generates meeting minutes. Using natural language generation technology, the server compiles the agenda and sentiment data extracted during the meeting into a document. The input is all the meeting data, and the output is the generated meeting minutes. The minutes are emailed to the participants and stored in cloud storage. 【0393】 (Application Example 2) 【0394】 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." 【0395】 Traditional meeting systems and customer service methods in stores often struggle to respond immediately to the emotions of participants and customers, hindering efficient and smooth progress and service delivery. Furthermore, they fail to leverage emotional shifts for effective decision-making and service optimization. 【0396】 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. 【0397】 In this invention, the server includes means for inputting the purpose of a meeting via a user input device, means for acquiring past meeting data from a database and generating a hypothetical meeting agenda, means for analyzing audio data in real time and generating text data, means for providing relevant information to terminals during the meeting to support the progress of the meeting, means for organizing the results of the discussion after the meeting and automatically generating meeting minutes, means for automatically sending the generated meeting minutes to participants, means for processing audio and video data acquired by terminal devices with an analysis device to identify emotional states and display them on an information display device, and means for providing suggestions to optimize services based on the emotional state of the customer. This enables immediate responses to the emotions of participants and customers, thereby improving the efficiency and quality of meetings and customer service. 【0398】 A "user input device" refers to a device used by users to input information such as the purpose of a meeting into a terminal. 【0399】 A "database" refers to a system that stores information such as past meeting data and allows it to be searched and retrieved as needed. 【0400】 "Audio data" refers to audio information that records the content of conversations during a meeting. 【0401】 "Real-time analysis" refers to processing data instantly and obtaining results immediately. 【0402】 "Text data" refers to character information generated by analyzing audio data. 【0403】 "Related information" refers to supplementary data and materials needed during the meeting. 【0404】 "The results of the discussion" refers to the conclusions and decisions reached during the meeting. 【0405】 "Meeting minutes" refers to a document that summarizes and records the content and decisions made at a meeting. 【0406】 "Terminal device" refers to an electronic device used for inputting or outputting information. 【0407】 "Audio and video data" refers to the spoken voice and visual information such as facial expressions of users and customers. 【0408】 An "analysis device" refers to a device that processes audio and video data and analyzes that data. 【0409】 "Emotional state" refers to information that indicates the psychological and emotional state of a user or customer. 【0410】 An "information display device" refers to a device equipped with a display for visually presenting analysis results to the user. 【0411】 "Suggestions for optimizing services" refers to information that presents the most suitable products and services based on the customer's emotions. 【0412】 To realize this invention, it is necessary to construct a system in which a server, terminal device, analysis device, and information display device work in coordination. The server receives information about the purpose of the meeting from the user input device and uses this information as a key to access the database. This allows the server to retrieve past meeting data, generate a hypothetical agenda, and provide it to the terminal. 【0413】 The terminal device is responsible for analyzing audio data generated during the meeting in real time and generating text data. The software used for this purpose is likely to be one of the currently available audio analysis engines. The generated text data, along with related information, is displayed on the terminal to support the progress of the meeting. 【0414】 Furthermore, the terminal device acquires audio and video data and transmits it to an analysis device. This analysis device processes the data in an advanced manner to identify the emotional state of the user or customer. The results are displayed in real time on an information display device and used to facilitate customer interaction. 【0415】 As a concrete example, consider a scenario where a store employee wears an information display device and analyzes video and audio through interaction with customers to identify their emotions. In this case, the display would show suggestions to optimize services for products the customer has shown interest in, allowing the employee to take an appropriate approach to the customer. This would make it possible to improve customer satisfaction. 【0416】 Examples of prompt messages include: "Generate a program that uses the customer's voice and video data to recognize emotions in real time and display the results on smart glasses." 【0417】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0418】 Step 1: 【0419】 The user enters the purpose of the meeting via a terminal device. The entered purpose is sent to the server, which uses this information as a key to access the database. The server searches past meeting data, generates a list of potential agenda items based on that information, and provides them to the terminal. The input is the purpose of the meeting, and the output is a list of potential agenda items. 【0420】 Step 2: 【0421】 When a meeting begins, the terminal device acquires audio data and sends it to the server in real time. The server uses a speech analysis engine to convert the audio data into text data. The input is audio data, and the output is text data. Specifically, the analysis involves converting speech to text using speech recognition technology. 【0422】 Step 3: 【0423】 During the meeting, the terminal device acquires audio and video data from the user and transmits it to the analysis device. The analysis device uses an AI model to identify the user's emotional state from changes in voice and facial expressions. The input is audio and video data, and the output is the emotion analysis result. Specifically, the process involves analyzing psychological characteristics using an emotion recognition algorithm. 【0424】 Step 4: 【0425】 The results of the emotional state generated by the analysis device are presented to the user in real time via an information display device. This allows the user to instantly decide on a response appropriate to the customer's emotions. The input is emotional state data, and the output is visual feedback information. Specific operations include displaying the emotional results on the display. 【0426】 Step 5: 【0427】 After the meeting ends, the server organizes the text and sentiment data acquired during the meeting and automatically generates meeting minutes that document the results of the discussion and decisions made. The input is text data and sentiment data, and the output is the meeting minutes. The specific operation involves a documenting process using natural language processing techniques. 【0428】 Step 6: 【0429】 Finally, the server emails the generated meeting minutes to all participants and saves them to cloud storage. The input is the meeting minutes, and the output is email and storage. The specific operations are transmission and data storage using electronic communication methods. 【0430】 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. 【0431】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0432】 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. 【0433】 [Third Embodiment] 【0434】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0435】 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. 【0436】 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). 【0437】 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. 【0438】 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. 【0439】 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). 【0440】 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. 【0441】 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. 【0442】 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. 【0443】 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. 【0444】 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. 【0445】 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". 【0446】 This invention provides a system for improving the efficiency and effectiveness of meetings. First, the user inputs the purpose of the meeting using a terminal. This information is sent to a server, which searches a relevant database to retrieve past meeting data and related information. Based on this data, the server automatically generates a hypothetical meeting agenda and provides it to the terminal. This allows the user to easily obtain the agenda necessary for the meeting. 【0447】 During the meeting, the device collects user speech as audio data and sends it to the server. The server analyzes the audio data in real time and generates text data. This visualizes the content of user speech, and important keywords are highlighted on the device, making it easy for all participants to understand the meeting's content. In addition, the server provides relevant information and minutes from past meetings in real time as the meeting progresses, supporting user decision-making. 【0448】 After the meeting ends, the server uses the text data generated during the meeting to organize the results of the discussion. Decisions and next actions are clarified, and meeting minutes are automatically generated. The server automatically sends these minutes to all participants and saves them to cloud storage. This process reduces the time spent on post-meeting follow-up, allowing users to quickly move on to the next steps. 【0449】 As a concrete example, consider a new product development meeting. When a user holds a meeting to plan the launch of the next product, they first input "To concretize the next product launch plan" as the purpose of the meeting into their terminal. Based on this information, the server generates hypothetical agenda items such as "market analysis," "technical feasibility," and "schedule planning," and provides them to the terminal. During the meeting, the server transcribes participants' comments in real time to support the discussion. After the meeting, the server organizes the results of the discussion, automatically generates meeting minutes, and distributes those minutes to everyone. 【0450】 This invention allows companies to improve the quality of meetings and reduce wasted time, thereby increasing overall organizational productivity. 【0451】 The following describes the processing flow. 【0452】 Step 1: 【0453】 The user enters the purpose of the meeting using their device. The entered information is immediately sent to the server. 【0454】 Step 2: 【0455】 The server searches the database based on the purpose of the meeting it receives. It collects past meeting data and related information and automatically generates a hypothetical meeting agenda. This hypothetical agenda is displayed on the terminal. 【0456】 Step 3: 【0457】 Once the meeting begins, users capture the meeting audio on their devices and send it to the server in real time. The server analyzes the audio data and transcribes the spoken content into text. 【0458】 Step 4: 【0459】 The server analyzes the text-based data, extracts important keywords, and displays them on the terminal. This makes it easier for users to track the progress of the meeting. 【0460】 Step 5: 【0461】 During the meeting, the server searches for relevant information and past meeting minutes as needed and displays them on the user's terminal to support the meeting's progress. 【0462】 Step 6: 【0463】 After the meeting, the server summarizes the results of the discussion and documents the decisions made and the next steps to be taken. 【0464】 Step 7: 【0465】 The server automatically generates meeting minutes and sends them to all participants via email. Simultaneously, the generated minutes are also saved to cloud storage. 【0466】 This series of steps allows users to conduct meetings efficiently and effectively. 【0467】 (Example 1) 【0468】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0469】 Current meeting systems have limited efficiency and productivity, and users bear a heavy burden in managing the flow of meetings and creating minutes. In this situation, there is a growing need for a system that supports smooth meeting progress and enables rapid follow-up after meetings. 【0470】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0471】 In this invention, the server includes means for inputting the purpose through a user device, means for acquiring past information from an information recording medium and generating anticipated agenda items, and means for instantly analyzing audio information and generating text information. This enables efficient meeting progress and reduces the amount of follow-up work after the meeting. 【0472】 A "user device" is a terminal device used by users participating in a meeting to input their purpose and related information. 【0473】 An "information recording medium" is a storage device such as a database that stores past meeting data and related information. 【0474】 "Audio information" refers to audio data recorded from participants' statements during a meeting. 【0475】 "Textual information" refers to text data generated by analyzing audio information. 【0476】 "Notification" refers to a means of transmitting generated research results and new ideas to the user's device. 【0477】 "Highlighting" is a technique that makes parts of text information stand out to ensure that important terms are clearly recognized by the user. 【0478】 This invention is a system that improves the efficiency and results of meetings. The system begins with the user inputting the purpose of the meeting via a terminal, and this input data being sent to a server. The terminal can be a standard computer, tablet, or smartphone as the user interface. The server is a high-performance processing unit that communicates with a database and retrieves necessary information from an information recording medium. 【0479】 The server automatically generates hypothetical meeting agendas using a generative AI model based on acquired past meeting data and related information. This process requires high-speed processors and sufficient memory to process large amounts of information instantly. The generated agendas are then communicated to the user through a user interface. 【0480】 During the meeting, the terminal collects the user's speech as audio data and sends it to the server. Speech recognition software is used to convert the audio information into text in real time. By transcribing the audio data, important terms are extracted and highlighted on the terminal. This allows users to understand the meeting content more clearly. 【0481】 Furthermore, the server provides relevant information and past meeting minutes in real time during the meeting. Providing information at the right time supports users in making quick and accurate decisions. 【0482】 Finally, after the meeting concludes, the server organizes the generated text information and automatically creates meeting minutes. This automation streamlines user follow-up tasks. The generated minutes are sent to all participants via email or cloud storage. 【0483】 For example, if a user is holding a meeting about a new product launch plan, they can input the objective "to finalize the next product launch" into the terminal. Based on this input, the server generates agenda items such as "market trend analysis," "examination of technical challenges," and "formulation of a release schedule," and notifies the user. Also, if someone says something like "Do you have the latest data on market trends?" during the meeting, the audio is immediately transcribed into text, and the necessary information is provided to the user. 【0484】 This invention makes it possible to streamline meetings and improve the overall productivity of the organization. 【0485】 An example of a prompt for a generative AI model would be text such as, "Generate the agenda for the next product launch meeting." 【0486】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0487】 Step 1: 【0488】 The user enters the purpose of the meeting. 【0489】 The user uses a terminal to input the specific purpose of the meeting. The terminal organizes this information in a digital format and sends it to the server. The input data is in the form of "Specification of the next product launch." The output here is the meeting purpose data sent to the server. 【0490】 Step 2: 【0491】 The server searches the database and generates a list of potential topics. 【0492】 The server searches the information storage medium using the received meeting purpose data. It retrieves relevant past information and meeting records from the database and uses a generative AI model to create hypothetical agenda items based on that information. The input is the meeting purpose data, and the output is the generated hypothetical agenda items (e.g., "Market Trend Analysis," "Consideration of Technical Challenges"). This is then notified to the terminal. 【0493】 Step 3: 【0494】 The device collects the user's speech as audio data. 【0495】 The device uses its microphone to collect audio data of what the user says during the meeting. This audio data becomes the input for transmission to the server. The output here is the audio data that is transmitted. 【0496】 Step 4: 【0497】 The server converts the audio data into text information. 【0498】 The server analyzes the received audio information in real time using speech recognition software and converts it into text. The input is audio data, and the output is the generated text information. Furthermore, important terms are extracted using this text information. 【0499】 Step 5: 【0500】 The device highlights important terms. 【0501】 Text information containing important terms, output from the server, is sent to the terminal and visually highlighted on the user interface. This allows the user to clearly understand the meeting content. The input is text information with important terms, and the output is a visually highlighted text display. 【0502】 Step 6: 【0503】 The server provides relevant information to assist in the progress of the meeting. 【0504】 Based on the progress of the meeting, the server searches the database for relevant additional information and past meeting minutes, and sends them to the terminal as needed. The input is information on the progress of the meeting, and the output is timely provision of additional information. 【0505】 Step 7: 【0506】 The server automatically generates and sends the meeting minutes. 【0507】 After the meeting ends, the server organizes the text information generated during the meeting and automatically creates meeting minutes. These minutes are then sent to all participants via email or cloud storage. The input is the text information generated during the meeting, and the output is the automatically generated meeting minutes. 【0508】 (Application Example 1) 【0509】 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." 【0510】 In the modern information technology field, efficient management of meetings and conferences, along with rapid information sharing, are essential for effective decision-making. However, typical meetings are time-consuming due to the need to gather information and create minutes, and technical terminology may not be accurately shared. Furthermore, insufficient utilization of past technical documents can lead to a decline in the quality of discussions. In addition, the lack of centralized storage and sharing of generated meeting minutes presents challenges in information management. There is a need to solve these problems and realize efficient and high-quality meetings. 【0511】 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. 【0512】 In this invention, the server includes means for inputting the purpose of the meeting via a user input device, means for acquiring past meeting information from an information storage device and generating a hypothetical agenda for the meeting, means for analyzing audio information in real time and generating text information, means for highlighting technical terms through the analysis of audio information, means for acquiring past technical documents, and means for saving records in cloud storage. This improves the quality of meetings and enables efficient sharing and management of information. 【0513】 A "user input device" is a device used to input the purpose and information of a meeting, and it is a device that users can directly operate to send information to the server. 【0514】 An "information storage device" is a system for storing and managing past meeting information and technical documents, and is responsible for quickly providing this information as needed. 【0515】 "Audio information" refers to the voices spoken by participants during a meeting, and is raw data used to mechanically analyze and convert it into text information. 【0516】 "Textual information" refers to text data generated by analyzing audio information, and is used for recording meetings and highlighting important keywords. 【0517】 "Technical terms" are specialized words used in a particular technological field and are important keywords that will be the focus of discussion during the meeting. 【0518】 "Cloud storage" is a technology that allows generated records and data to be stored using internet services and accessed when needed. 【0519】 To realize this invention, the system is configured in which a server, terminals, and users work together to operate the system. In developing the program, the user inputs the purpose of the meeting using a smartphone or tablet device, and this information is sent to the server. The server operates on the cloud and uses an information storage device to instantly retrieve past meeting data and technical documents, and generates a hypothetical agenda for the meeting. 【0520】 The server also uses speech recognition technology to transcribe audio information collected during the meeting into text in real time. This process utilizes speech recognition technologies such as Google Cloud Speech-to-Text API and Amazon Transcribe to generate highly accurate text. The generated text is then analyzed using natural language processing libraries (e.g., spaCy and NLTK), and important technical terms are highlighted. 【0521】 By leveraging cloud storage technology, users can access and manage important information in real time. The generated meeting minutes are stored in cloud services such as AWS S3 and Google Cloud Storage, and the information can be shared as needed. 【0522】 A concrete example of implementing this system is a meeting within a data center to discuss the introduction of new technologies. Before the meeting, users input "risks and benefits of technology introduction" as the meeting's topic. The server then sets anticipated agenda items such as "technical evaluation" and "cost analysis," and notifies terminals of relevant technical documents. 【0523】 Examples of prompt statements for a generative AI model are as follows: 【0524】 "Please summarize the key points from the meeting where we discussed the risks and benefits of technology adoption, and propose the next steps. The challenges included technology evaluation and cost analysis." 【0525】 This format enables efficient information management and sharing, thereby improving the overall productivity of the meeting. 【0526】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0527】 Step 1: 【0528】 The user enters the purpose of the meeting using a terminal. This input is sent to the server as text data. Based on the entered purpose of the meeting, the server generates an appropriate database search query. 【0529】 Step 2: 【0530】 The server searches the database in the information storage device based on the purpose of the meeting and retrieves past meeting data. The retrieved data includes relevant technical documents and topics that were previously discussed on the agenda. Based on this, the server aggregates the information, generates a potential agenda, and sends it to the terminal. 【0531】 Step 3: 【0532】 During the meeting, the terminal collects audio data in real time and transfers it to the server. The server uses a speech recognition API (such as Google Cloud Speech-to-Text API or Amazon Transcribe) to convert the audio data into text. This ensures that speeches during the meeting are recorded as text. 【0533】 Step 4: 【0534】 The server analyzes the generated text information using natural language processing tools (spaCy or NLTK). Through this analysis, important technical terms and keywords are extracted and highlighted on the terminal. Users then proceed with the discussion based on the highlighted information. 【0535】 Step 5: 【0536】 After the meeting concludes, the server automatically generates meeting minutes based on the accumulated textual information. The minutes are organized using a generation AI model to ensure they include key points of the discussion and the next steps to be taken. 【0537】 Step 6: 【0538】 The generated meeting minutes are stored in a cloud storage service. Simultaneously, the server automatically sends the minutes to the participants' email addresses. This allows all participants to easily access the information and quickly plan their next steps. 【0539】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0540】 This invention combines a system designed to improve the efficiency and results of meetings with an emotion engine that recognizes user emotions and assists in facilitating the meeting. First, the user inputs the purpose of the meeting using a terminal, and this information is sent to a server. The server searches a database, retrieves past meeting data and related information, automatically generates a hypothetical meeting agenda, and provides it to the terminal. 【0541】 During the meeting, the terminal captures the user's speech as audio data and sends it to the server. A newly installed emotion engine then analyzes the audio data to recognize the user's emotions in real time. This emotion data is used to generate feedback tailored to the progress of the meeting. Based on the emotions analyzed by the emotion engine, the server displays information on the terminal regarding the meeting's atmosphere and the emotional state of the participants. It also extracts important keywords, which are highlighted on the terminal. 【0542】 Furthermore, the server has a feature that uses the emotional data accumulated during the meeting to suggest the next action based on the user's emotions. This allows users to easily make decisions that respond immediately to changes in their emotions. After the meeting ends, the server, as a conventional function, uses the text and emotional data generated during the meeting to organize the results of the discussion, document the decisions and next actions, and automatically generate meeting minutes. These minutes are sent to all participants via email and stored in cloud storage. 【0543】 As a concrete example, consider a new product development meeting. In this case, if the user enters "concretizing the next product launch plan" as the purpose of the meeting into the terminal, the server automatically generates hypothetical agenda items such as "market analysis" and "technical feasibility." During the meeting, the emotion engine recognizes emotions from the participants' voices, and if there are many positive responses, it suggests "we should proceed in this direction." Conversely, if there are many negative emotions, it displays a warning such as "consideration from a different perspective is needed," thereby supporting the user's decision-making. After the meeting, the server generates meeting minutes that also take this emotion data into account, enabling rapid follow-up. 【0544】 The following describes the processing flow. 【0545】 Step 1: 【0546】 The user enters the purpose of the meeting using their device. This information is immediately sent to the server. 【0547】 Step 2: 【0548】 The server searches its database based on the purpose of the received meeting, collecting past meeting data and related information. This allows it to automatically generate a hypothetical agenda and provide it to the terminal. 【0549】 Step 3: 【0550】 Once the meeting begins, the terminal collects the user's statements as audio data and transmits it to the server in real time. 【0551】 Step 4: 【0552】 The server analyzes audio data in real time, generates text data, and uses an emotion engine to recognize the user's emotions. 【0553】 Step 5: 【0554】 Based on the emotional data analyzed by the emotion engine, the server analyzes the atmosphere of the meeting and the emotional state of the participants in real time, and displays emotional feedback on the terminal. 【0555】 Step 6: 【0556】 As the meeting progresses, the server extracts key keywords and highlights them on the terminal. Simultaneously, it generates and presents suggestions for the next action based on sentiment data. 【0557】 Step 7: 【0558】 After the meeting ends, the server uses the text and sentiment data collected during the meeting to organize the results of the discussion. The server automatically generates meeting minutes, which are emailed to all participants and also saved to cloud storage. 【0559】 This processing flow makes it easier for users to understand the changes in opinions and emotions during meetings, creating a system that supports effective decision-making. 【0560】 (Example 2) 【0561】 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." 【0562】 In meetings, participants' emotions and reactions often influence important decision-making. However, conventional meeting support systems have limitations in their ability to grasp participants' emotional states in real time and provide feedback, resulting in insufficient information for participants to make appropriate decisions. This has made it difficult to improve the efficiency of meeting management and the quality of decision-making. 【0563】 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. 【0564】 In this invention, the server includes means for analyzing voice information to recognize emotional states, means for proposing the next action based on emotional data, and means for automatically generating anticipated agenda items based on the purpose of the meeting. This makes it possible to grasp the emotional states of participants in real time during the meeting and provide optimal feedback. 【0565】 A "user" is a person or organization that operates the system and enters the purpose of the meeting. 【0566】 A "data storage device" is a device used to store past meeting data and related information, and to retrieve them as needed. 【0567】 "Audio information" refers to data obtained as digital data from what participants say during a meeting. 【0568】 "Natural language text" refers to data obtained by analyzing audio information and converting it into a written format that humans can understand. 【0569】 An "output device" is a device used to communicate the progress of a meeting and provide feedback to participants. 【0570】 "Emotional state" refers to information that indicates the participant's feelings and reactions, obtained through the analysis of audio data. 【0571】 "Feedback" refers to information that provides advice and suggestions regarding the next steps or decision-making process, taking into account the emotional state of participants during the meeting. 【0572】 "Action" refers to specific countermeasures or means used in meeting management and decision-making processes. 【0573】 A "member" is an individual or organization that participates in a meeting using the system and receives the meeting minutes. 【0574】 A "concept" refers to an important idea or theme that was discussed during the meeting. 【0575】 The embodiments for carrying out this invention are described below. 【0576】 The user enters the purpose of the meeting using a terminal. This terminal then transmits the entered purpose information to the server. The terminal hardware is a general-purpose computer or smart device, and the software implements a user interface and communication module. 【0577】 The server searches its data storage for past meeting data based on the information it receives. Based on these search results, a process is initiated to automatically generate a hypothetical meeting agenda. The server hardware uses standard server equipment, while the software includes a database management system and natural language generation algorithms. 【0578】 During a meeting, the terminal captures the user's speech as audio information via the microphone and transmits it to the server in real time. This audio information is converted into natural language text by speech recognition technology on the server, and the emotional state is recognized by an emotion engine. The emotion engine uses machine learning models to analyze the audio data and estimate emotions. 【0579】 The server generates and sends real-time feedback to the terminal based on the analyzed sentiment data. This feedback suggests appropriate actions for meeting participants and is displayed on the terminal's screen. 【0580】 As a concrete example, suppose a user enters "determining the market launch schedule" into a terminal during a product development meeting. In this case, the server automatically generates agenda items such as "competitor analysis" and "production plan." If there are many positive emotions during the meeting, feedback such as "maintain this direction" will be provided. Conversely, if negative emotions are detected, a suggestion such as "reconsideration is needed" will be made. 【0581】 An example of a prompt might be, "Design a system that uses audio data from a meeting to analyze participants' emotions in real time and optimize the meeting's progress." 【0582】 This invention is a system that enables efficient meeting management and improved quality of decisions through the collaboration of users, terminals, and servers. 【0583】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0584】 Step 1: 【0585】 The user enters the purpose of the meeting using the terminal. Once the user enters the text and clicks the "Send" button, the terminal sends the information to the server using the HTTP protocol. At this stage, the input is the purpose of the meeting, and the output is the transmission of information to the server. 【0586】 Step 2: 【0587】 The server searches its data storage for relevant past meeting data based on the received meeting purpose information. Using this data, the server activates an automated agenda generation algorithm to generate hypothetical agenda items. The inputs are the meeting purpose and past data, and the output is the generated hypothetical agenda. The generated agenda items are then sent from the server to the terminal and provided to the user. 【0588】 Step 3: 【0589】 The terminal acquires user speech as audio information during a meeting. The microphone converts the audio into digital audio data, and the terminal sends this data to the server in a batch processing format. The input is the user's voice, and the output is digital audio data. 【0590】 Step 4: 【0591】 The server converts the received audio data into natural language text using speech recognition software. During this process, a generative AI model is used for speech transcription. The input is audio data, and the output is text data. 【0592】 Step 5: 【0593】 The server analyzes text data using an emotion engine to estimate the user's emotional state. Using machine learning algorithms, it extracts emotional features from this text data and recognizes positive or negative emotions. The input is text data, and the output is the emotional state. 【0594】 Step 6: 【0595】 The server generates feedback information based on the analyzed emotional state and sends it to the terminal. The feedback takes into account the meeting agenda and emotional state, and includes suggestions such as "maintain the current direction if there are many positive emotions." The input is the emotional state and agenda, and the output is the feedback information. The terminal displays this information to the user. 【0596】 Step 7: 【0597】 The server ultimately analyzes the data collected throughout the entire meeting and automatically generates meeting minutes. Using natural language generation technology, the server compiles the agenda and sentiment data extracted during the meeting into a document. The input is all the meeting data, and the output is the generated meeting minutes. The minutes are emailed to the participants and stored in cloud storage. 【0598】 (Application Example 2) 【0599】 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." 【0600】 Traditional meeting systems and customer service methods in stores often struggle to respond immediately to the emotions of participants and customers, hindering efficient and smooth progress and service delivery. Furthermore, they fail to leverage emotional shifts for effective decision-making and service optimization. 【0601】 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. 【0602】 In this invention, the server includes means for inputting the purpose of a meeting via a user input device, means for acquiring past meeting data from a database and generating a hypothetical meeting agenda, means for analyzing audio data in real time and generating text data, means for providing relevant information to terminals during the meeting to support the progress of the meeting, means for organizing the results of the discussion after the meeting and automatically generating meeting minutes, means for automatically sending the generated meeting minutes to participants, means for processing audio and video data acquired by terminal devices with an analysis device to identify emotional states and display them on an information display device, and means for providing suggestions to optimize services based on the emotional state of the customer. This enables immediate responses to the emotions of participants and customers, thereby improving the efficiency and quality of meetings and customer service. 【0603】 A "user input device" refers to a device used by users to input information such as the purpose of a meeting into a terminal. 【0604】 A "database" refers to a system that stores information such as past meeting data and allows it to be searched and retrieved as needed. 【0605】 "Audio data" refers to audio information that records the content of conversations during a meeting. 【0606】 "Real-time analysis" refers to processing data instantly and obtaining results immediately. 【0607】 "Text data" refers to character information generated by analyzing audio data. 【0608】 "Related information" refers to supplementary data and materials needed during the meeting. 【0609】 "The results of the discussion" refers to the conclusions and decisions reached during the meeting. 【0610】 "Meeting minutes" refers to a document that summarizes and records the content and decisions made at a meeting. 【0611】 "Terminal device" refers to an electronic device used for inputting or outputting information. 【0612】 "Audio and video data" refers to the spoken voice and visual information such as facial expressions of users and customers. 【0613】 An "analysis device" refers to a device that processes audio and video data and analyzes that data. 【0614】 "Emotional state" refers to information that indicates the psychological and emotional state of a user or customer. 【0615】 An "information display device" refers to a device equipped with a display for visually presenting analysis results to the user. 【0616】 "Suggestions for optimizing services" refers to information that presents the most suitable products and services based on the customer's emotions. 【0617】 To realize this invention, it is necessary to construct a system in which a server, terminal device, analysis device, and information display device work in coordination. The server receives information about the purpose of the meeting from the user input device and uses this information as a key to access the database. This allows the server to retrieve past meeting data, generate a hypothetical agenda, and provide it to the terminal. 【0618】 The terminal device is responsible for analyzing audio data generated during the meeting in real time and generating text data. The software used for this purpose is likely to be one of the currently available audio analysis engines. The generated text data, along with related information, is displayed on the terminal to support the progress of the meeting. 【0619】 Furthermore, the terminal device acquires audio and video data and transmits it to an analysis device. This analysis device processes the data in an advanced manner to identify the emotional state of the user or customer. The results are displayed in real time on an information display device and used to facilitate customer interaction. 【0620】 As a concrete example, consider a scenario where a store employee wears an information display device and analyzes video and audio through interaction with customers to identify their emotions. In this case, the display would show suggestions to optimize services for products the customer has shown interest in, allowing the employee to take an appropriate approach to the customer. This would make it possible to improve customer satisfaction. 【0621】 Examples of prompt messages include: "Generate a program that uses the customer's voice and video data to recognize emotions in real time and display the results on smart glasses." 【0622】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0623】 Step 1: 【0624】 The user enters the purpose of the meeting via a terminal device. The entered purpose is sent to the server, which uses this information as a key to access the database. The server searches past meeting data, generates a list of potential agenda items based on that information, and provides them to the terminal. The input is the purpose of the meeting, and the output is a list of potential agenda items. 【0625】 Step 2: 【0626】 When a meeting begins, the terminal device acquires audio data and sends it to the server in real time. The server uses a speech analysis engine to convert the audio data into text data. The input is audio data, and the output is text data. Specifically, the analysis involves converting speech to text using speech recognition technology. 【0627】 Step 3: 【0628】 During the meeting, the terminal device acquires audio and video data from the user and transmits it to the analysis device. The analysis device uses an AI model to identify the user's emotional state from changes in voice and facial expressions. The input is audio and video data, and the output is the emotion analysis result. Specifically, the process involves analyzing psychological characteristics using an emotion recognition algorithm. 【0629】 Step 4: 【0630】 The results of the emotional state generated by the analysis device are presented to the user in real time via an information display device. This allows the user to instantly decide on a response appropriate to the customer's emotions. The input is emotional state data, and the output is visual feedback information. Specific operations include displaying the emotional results on the display. 【0631】 Step 5: 【0632】 After the meeting ends, the server organizes the text and sentiment data acquired during the meeting and automatically generates meeting minutes that document the results of the discussion and decisions made. The input is text data and sentiment data, and the output is the meeting minutes. The specific operation involves a documenting process using natural language processing techniques. 【0633】 Step 6: 【0634】 Finally, the server emails the generated meeting minutes to all participants and saves them to cloud storage. The input is the meeting minutes, and the output is email and storage. The specific operations are transmission and data storage using electronic communication methods. 【0635】 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. 【0636】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0637】 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. 【0638】 [Fourth Embodiment] 【0639】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0640】 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. 【0641】 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). 【0642】 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. 【0643】 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. 【0644】 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). 【0645】 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. 【0646】 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. 【0647】 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. 【0648】 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. 【0649】 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. 【0650】 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. 【0651】 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". 【0652】 This invention provides a system for improving the efficiency and effectiveness of meetings. First, the user inputs the purpose of the meeting using a terminal. This information is sent to a server, which searches a relevant database to retrieve past meeting data and related information. Based on this data, the server automatically generates a hypothetical meeting agenda and provides it to the terminal. This allows the user to easily obtain the agenda necessary for the meeting. 【0653】 During the meeting, the device collects user speech as audio data and sends it to the server. The server analyzes the audio data in real time and generates text data. This visualizes the content of user speech, and important keywords are highlighted on the device, making it easy for all participants to understand the meeting's content. In addition, the server provides relevant information and minutes from past meetings in real time as the meeting progresses, supporting user decision-making. 【0654】 After the meeting ends, the server uses the text data generated during the meeting to organize the results of the discussion. Decisions and next actions are clarified, and meeting minutes are automatically generated. The server automatically sends these minutes to all participants and saves them to cloud storage. This process reduces the time spent on post-meeting follow-up, allowing users to quickly move on to the next steps. 【0655】 As a concrete example, consider a new product development meeting. When a user holds a meeting to plan the launch of the next product, they first input "To concretize the next product launch plan" as the purpose of the meeting into their terminal. Based on this information, the server generates hypothetical agenda items such as "market analysis," "technical feasibility," and "schedule planning," and provides them to the terminal. During the meeting, the server transcribes participants' comments in real time to support the discussion. After the meeting, the server organizes the results of the discussion, automatically generates meeting minutes, and distributes those minutes to everyone. 【0656】 This invention allows companies to improve the quality of meetings and reduce wasted time, thereby increasing overall organizational productivity. 【0657】 The following describes the processing flow. 【0658】 Step 1: 【0659】 The user enters the purpose of the meeting using their device. The entered information is immediately sent to the server. 【0660】 Step 2: 【0661】 The server searches the database based on the purpose of the meeting it receives. It collects past meeting data and related information and automatically generates a hypothetical meeting agenda. This hypothetical agenda is displayed on the terminal. 【0662】 Step 3: 【0663】 Once the meeting begins, users capture the meeting audio on their devices and send it to the server in real time. The server analyzes the audio data and transcribes the spoken content into text. 【0664】 Step 4: 【0665】 The server analyzes the text-based data, extracts important keywords, and displays them on the terminal. This makes it easier for users to track the progress of the meeting. 【0666】 Step 5: 【0667】 During the meeting, the server searches for relevant information and past meeting minutes as needed and displays them on the user's terminal to support the meeting's progress. 【0668】 Step 6: 【0669】 After the meeting, the server summarizes the results of the discussion and documents the decisions made and the next steps to be taken. 【0670】 Step 7: 【0671】 The server automatically generates meeting minutes and sends them to all participants via email. Simultaneously, the generated minutes are also saved to cloud storage. 【0672】 This series of steps allows users to conduct meetings efficiently and effectively. 【0673】 (Example 1) 【0674】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0675】 Current meeting systems have limited efficiency and productivity, and users bear a heavy burden in managing the flow of meetings and creating minutes. In this situation, there is a growing need for a system that supports smooth meeting progress and enables rapid follow-up after meetings. 【0676】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0677】 In this invention, the server includes means for inputting the purpose through a user device, means for acquiring past information from an information recording medium and generating anticipated agenda items, and means for instantly analyzing audio information and generating text information. This enables efficient meeting progress and reduces the amount of follow-up work after the meeting. 【0678】 A "user device" is a terminal device used by users participating in a meeting to input their purpose and related information. 【0679】 An "information recording medium" is a storage device such as a database that stores past meeting data and related information. 【0680】 "Audio information" refers to audio data recorded from participants' statements during a meeting. 【0681】 "Textual information" refers to text data generated by analyzing audio information. 【0682】 "Notification" refers to a means of transmitting generated research results and new ideas to the user's device. 【0683】 "Highlighting" is a technique that makes parts of text information stand out to ensure that important terms are clearly recognized by the user. 【0684】 This invention is a system that improves the efficiency and results of meetings. The system begins with the user inputting the purpose of the meeting via a terminal, and this input data being sent to a server. The terminal can be a standard computer, tablet, or smartphone as the user interface. The server is a high-performance processing unit that communicates with a database and retrieves necessary information from an information recording medium. 【0685】 The server automatically generates hypothetical meeting agendas using a generative AI model based on acquired past meeting data and related information. This process requires high-speed processors and sufficient memory to process large amounts of information instantly. The generated agendas are then communicated to the user through a user interface. 【0686】 During the meeting, the terminal collects the user's speech as audio data and sends it to the server. Speech recognition software is used to convert the audio information into text in real time. By transcribing the audio data, important terms are extracted and highlighted on the terminal. This allows users to understand the meeting content more clearly. 【0687】 Furthermore, the server provides relevant information and past meeting minutes in real time during the meeting. Providing information at the right time supports users in making quick and accurate decisions. 【0688】 Finally, after the meeting concludes, the server organizes the generated text information and automatically creates meeting minutes. This automation streamlines user follow-up tasks. The generated minutes are sent to all participants via email or cloud storage. 【0689】 For example, if a user is holding a meeting about a new product launch plan, they can input the objective "to finalize the next product launch" into the terminal. Based on this input, the server generates agenda items such as "market trend analysis," "examination of technical challenges," and "formulation of a release schedule," and notifies the user. Also, if someone says something like "Do you have the latest data on market trends?" during the meeting, the audio is immediately transcribed into text, and the necessary information is provided to the user. 【0690】 This invention makes it possible to streamline meetings and improve the overall productivity of the organization. 【0691】 An example of a prompt for a generative AI model would be text such as, "Generate the agenda for the next product launch meeting." 【0692】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0693】 Step 1: 【0694】 The user enters the purpose of the meeting. 【0695】 The user uses a terminal to input the specific purpose of the meeting. The terminal organizes this information in a digital format and sends it to the server. The input data is in the form of "Specification of the next product launch." The output here is the meeting purpose data sent to the server. 【0696】 Step 2: 【0697】 The server searches the database and generates a list of potential topics. 【0698】 The server searches the information storage medium using the received meeting purpose data. It retrieves relevant past information and meeting records from the database and uses a generative AI model to create hypothetical agenda items based on that information. The input is the meeting purpose data, and the output is the generated hypothetical agenda items (e.g., "Market Trend Analysis," "Consideration of Technical Challenges"). This is then notified to the terminal. 【0699】 Step 3: 【0700】 The device collects the user's speech as audio data. 【0701】 The device uses its microphone to collect audio data of what the user says during the meeting. This audio data becomes the input for transmission to the server. The output here is the audio data that is transmitted. 【0702】 Step 4: 【0703】 The server converts the audio data into text information. 【0704】 The server analyzes the received audio information in real time using speech recognition software and converts it into text. The input is audio data, and the output is the generated text information. Furthermore, important terms are extracted using this text information. 【0705】 Step 5: 【0706】 The device highlights important terms. 【0707】 Text information containing important terms, output from the server, is sent to the terminal and visually highlighted on the user interface. This allows the user to clearly understand the meeting content. The input is text information with important terms, and the output is a visually highlighted text display. 【0708】 Step 6: 【0709】 The server provides relevant information to assist in the progress of the meeting. 【0710】 Based on the progress of the meeting, the server searches the database for relevant additional information and past meeting minutes, and sends them to the terminal as needed. The input is information on the progress of the meeting, and the output is timely provision of additional information. 【0711】 Step 7: 【0712】 The server automatically generates and sends the meeting minutes. 【0713】 After the meeting ends, the server organizes the text information generated during the meeting and automatically creates meeting minutes. These minutes are then sent to all participants via email or cloud storage. The input is the text information generated during the meeting, and the output is the automatically generated meeting minutes. 【0714】 (Application Example 1) 【0715】 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". 【0716】 In the modern information technology field, efficient management of meetings and conferences, along with rapid information sharing, are essential for effective decision-making. However, typical meetings are time-consuming due to the need to gather information and create minutes, and technical terminology may not be accurately shared. Furthermore, insufficient utilization of past technical documents can lead to a decline in the quality of discussions. In addition, the lack of centralized storage and sharing of generated meeting minutes presents challenges in information management. There is a need to solve these problems and realize efficient and high-quality meetings. 【0717】 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. 【0718】 In this invention, the server includes means for inputting the purpose of the meeting via a user input device, means for acquiring past meeting information from an information storage device and generating a hypothetical agenda for the meeting, means for analyzing audio information in real time and generating text information, means for highlighting technical terms through the analysis of audio information, means for acquiring past technical documents, and means for saving records in cloud storage. This improves the quality of meetings and enables efficient sharing and management of information. 【0719】 A "user input device" is a device used to input the purpose and information of a meeting, and it is a device that users can directly operate to send information to the server. 【0720】 An "information storage device" is a system for storing and managing past meeting information and technical documents, and is responsible for quickly providing this information as needed. 【0721】 "Audio information" refers to the voices spoken by participants during a meeting, and is raw data used to mechanically analyze and convert it into text information. 【0722】 "Textual information" refers to text data generated by analyzing audio information, and is used for recording meetings and highlighting important keywords. 【0723】 "Technical terms" are specialized words used in a particular technological field and are important keywords that will be the focus of discussion during the meeting. 【0724】 "Cloud storage" is a technology that allows generated records and data to be stored using internet services and accessed when needed. 【0725】 To realize this invention, the system is configured in which a server, terminals, and users work together to operate the system. In developing the program, the user inputs the purpose of the meeting using a smartphone or tablet device, and this information is sent to the server. The server operates on the cloud and uses an information storage device to instantly retrieve past meeting data and technical documents, and generates a hypothetical agenda for the meeting. 【0726】 The server also uses speech recognition technology to transcribe audio information collected during the meeting into text in real time. This process utilizes speech recognition technologies such as Google Cloud Speech-to-Text API and Amazon Transcribe to generate highly accurate text. The generated text is then analyzed using natural language processing libraries (e.g., spaCy and NLTK), and important technical terms are highlighted. 【0727】 By leveraging cloud storage technology, users can access and manage important information in real time. The generated meeting minutes are stored in cloud services such as AWS S3 and Google Cloud Storage, and the information can be shared as needed. 【0728】 A concrete example of implementing this system is a meeting within a data center to discuss the introduction of new technologies. Before the meeting, users input "risks and benefits of technology introduction" as the meeting's topic. The server then sets anticipated agenda items such as "technical evaluation" and "cost analysis," and notifies terminals of relevant technical documents. 【0729】 Examples of prompt statements for a generative AI model are as follows: 【0730】 "Please summarize the key points from the meeting where we discussed the risks and benefits of technology adoption, and propose the next steps. The challenges included technology evaluation and cost analysis." 【0731】 This format enables efficient information management and sharing, thereby improving the overall productivity of the meeting. 【0732】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0733】 Step 1: 【0734】 The user enters the purpose of the meeting using a terminal. This input is sent to the server as text data. Based on the entered purpose of the meeting, the server generates an appropriate database search query. 【0735】 Step 2: 【0736】 The server searches the database in the information storage device based on the purpose of the meeting and retrieves past meeting data. The retrieved data includes relevant technical documents and topics that were previously discussed on the agenda. Based on this, the server aggregates the information, generates a potential agenda, and sends it to the terminal. 【0737】 Step 3: 【0738】 During the meeting, the terminal collects audio data in real time and transfers it to the server. The server uses a speech recognition API (such as Google Cloud Speech-to-Text API or Amazon Transcribe) to convert the audio data into text. This ensures that speeches during the meeting are recorded as text. 【0739】 Step 4: 【0740】 The server analyzes the generated text information using natural language processing tools (spaCy or NLTK). Through this analysis, important technical terms and keywords are extracted and highlighted on the terminal. Users then proceed with the discussion based on the highlighted information. 【0741】 Step 5: 【0742】 After the meeting concludes, the server automatically generates meeting minutes based on the accumulated textual information. The minutes are organized using a generation AI model to ensure they include key points of the discussion and the next steps to be taken. 【0743】 Step 6: 【0744】 The generated meeting minutes are stored in a cloud storage service. Simultaneously, the server automatically sends the minutes to the participants' email addresses. This allows all participants to easily access the information and quickly plan their next steps. 【0745】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0746】 This invention combines a system designed to improve the efficiency and results of meetings with an emotion engine that recognizes user emotions and assists in facilitating the meeting. First, the user inputs the purpose of the meeting using a terminal, and this information is sent to a server. The server searches a database, retrieves past meeting data and related information, automatically generates a hypothetical meeting agenda, and provides it to the terminal. 【0747】 During the meeting, the terminal captures the user's speech as audio data and sends it to the server. A newly installed emotion engine then analyzes the audio data to recognize the user's emotions in real time. This emotion data is used to generate feedback tailored to the progress of the meeting. Based on the emotions analyzed by the emotion engine, the server displays information on the terminal regarding the meeting's atmosphere and the emotional state of the participants. It also extracts important keywords, which are highlighted on the terminal. 【0748】 Furthermore, the server has a feature that uses the emotional data accumulated during the meeting to suggest the next action based on the user's emotions. This allows users to easily make decisions that respond immediately to changes in their emotions. After the meeting ends, the server, as a conventional function, uses the text and emotional data generated during the meeting to organize the results of the discussion, document the decisions and next actions, and automatically generate meeting minutes. These minutes are sent to all participants via email and stored in cloud storage. 【0749】 As a concrete example, consider a new product development meeting. In this case, if the user enters "concretizing the next product launch plan" as the purpose of the meeting into the terminal, the server automatically generates hypothetical agenda items such as "market analysis" and "technical feasibility." During the meeting, the emotion engine recognizes emotions from the participants' voices, and if there are many positive responses, it suggests "we should proceed in this direction." Conversely, if there are many negative emotions, it displays a warning such as "consideration from a different perspective is needed," thereby supporting the user's decision-making. After the meeting, the server generates meeting minutes that also take this emotion data into account, enabling rapid follow-up. 【0750】 The following describes the processing flow. 【0751】 Step 1: 【0752】 The user enters the purpose of the meeting using their device. This information is immediately sent to the server. 【0753】 Step 2: 【0754】 The server searches its database based on the purpose of the received meeting, collecting past meeting data and related information. This allows it to automatically generate a hypothetical agenda and provide it to the terminal. 【0755】 Step 3: 【0756】 Once the meeting begins, the terminal collects the user's statements as audio data and transmits it to the server in real time. 【0757】 Step 4: 【0758】 The server analyzes audio data in real time, generates text data, and uses an emotion engine to recognize the user's emotions. 【0759】 Step 5: 【0760】 Based on the emotional data analyzed by the emotion engine, the server analyzes the atmosphere of the meeting and the emotional state of the participants in real time, and displays emotional feedback on the terminal. 【0761】 Step 6: 【0762】 As the meeting progresses, the server extracts key keywords and highlights them on the terminal. Simultaneously, it generates and presents suggestions for the next action based on sentiment data. 【0763】 Step 7: 【0764】 After the meeting ends, the server uses the text and sentiment data collected during the meeting to organize the results of the discussion. The server automatically generates meeting minutes, which are emailed to all participants and also saved to cloud storage. 【0765】 This processing flow makes it easier for users to understand the changes in opinions and emotions during meetings, creating a system that supports effective decision-making. 【0766】 (Example 2) 【0767】 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". 【0768】 In meetings, participants' emotions and reactions often influence important decision-making. However, conventional meeting support systems have limitations in their ability to grasp participants' emotional states in real time and provide feedback, resulting in insufficient information for participants to make appropriate decisions. This has made it difficult to improve the efficiency of meeting management and the quality of decision-making. 【0769】 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. 【0770】 In this invention, the server includes means for analyzing voice information to recognize emotional states, means for proposing the next action based on emotional data, and means for automatically generating anticipated agenda items based on the purpose of the meeting. This makes it possible to grasp the emotional states of participants in real time during the meeting and provide optimal feedback. 【0771】 A "user" is a person or organization that operates the system and enters the purpose of the meeting. 【0772】 A "data storage device" is a device used to store past meeting data and related information, and to retrieve them as needed. 【0773】 "Audio information" refers to data obtained as digital data from what participants say during a meeting. 【0774】 "Natural language text" refers to data obtained by analyzing audio information and converting it into a written format that humans can understand. 【0775】 An "output device" is a device used to communicate the progress of a meeting and provide feedback to participants. 【0776】 "Emotional state" refers to information that indicates the participant's feelings and reactions, obtained through the analysis of audio data. 【0777】 "Feedback" refers to information that provides advice and suggestions regarding the next steps or decision-making process, taking into account the emotional state of participants during the meeting. 【0778】 "Action" refers to specific countermeasures or means used in meeting management and decision-making processes. 【0779】 A "member" is an individual or organization that participates in a meeting using the system and receives the meeting minutes. 【0780】 A "concept" refers to an important idea or theme that was discussed during the meeting. 【0781】 The embodiments for carrying out this invention are described below. 【0782】 The user enters the purpose of the meeting using a terminal. This terminal then transmits the entered purpose information to the server. The terminal hardware is a general-purpose computer or smart device, and the software implements a user interface and communication module. 【0783】 The server searches its data storage for past meeting data based on the information it receives. Based on these search results, a process is initiated to automatically generate a hypothetical meeting agenda. The server hardware uses standard server equipment, while the software includes a database management system and natural language generation algorithms. 【0784】 During a meeting, the terminal captures the user's speech as audio information via the microphone and transmits it to the server in real time. This audio information is converted into natural language text by speech recognition technology on the server, and the emotional state is recognized by an emotion engine. The emotion engine uses machine learning models to analyze the audio data and estimate emotions. 【0785】 The server generates and sends real-time feedback to the terminal based on the analyzed sentiment data. This feedback suggests appropriate actions for meeting participants and is displayed on the terminal's screen. 【0786】 As a concrete example, suppose a user enters "determining the market launch schedule" into a terminal during a product development meeting. In this case, the server automatically generates agenda items such as "competitor analysis" and "production plan." If there are many positive emotions during the meeting, feedback such as "maintain this direction" will be provided. Conversely, if negative emotions are detected, a suggestion such as "reconsideration is needed" will be made. 【0787】 An example of a prompt might be, "Design a system that uses audio data from a meeting to analyze participants' emotions in real time and optimize the meeting's progress." 【0788】 This invention is a system that enables efficient meeting management and improved quality of decisions through the collaboration of users, terminals, and servers. 【0789】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0790】 Step 1: 【0791】 The user enters the purpose of the meeting using the terminal. Once the user enters the text and clicks the "Send" button, the terminal sends the information to the server using the HTTP protocol. At this stage, the input is the purpose of the meeting, and the output is the transmission of information to the server. 【0792】 Step 2: 【0793】 The server searches its data storage for relevant past meeting data based on the received meeting purpose information. Using this data, the server activates an automated agenda generation algorithm to generate hypothetical agenda items. The inputs are the meeting purpose and past data, and the output is the generated hypothetical agenda. The generated agenda items are then sent from the server to the terminal and provided to the user. 【0794】 Step 3: 【0795】 The terminal acquires user speech as audio information during a meeting. The microphone converts the audio into digital audio data, and the terminal sends this data to the server in a batch processing format. The input is the user's voice, and the output is digital audio data. 【0796】 Step 4: 【0797】 The server converts the received audio data into natural language text using speech recognition software. During this process, a generative AI model is used for speech transcription. The input is audio data, and the output is text data. 【0798】 Step 5: 【0799】 The server analyzes text data using an emotion engine to estimate the user's emotional state. Using machine learning algorithms, it extracts emotional features from this text data and recognizes positive or negative emotions. The input is text data, and the output is the emotional state. 【0800】 Step 6: 【0801】 The server generates feedback information based on the analyzed emotional state and sends it to the terminal. The feedback takes into account the meeting agenda and emotional state, and includes suggestions such as "maintain the current direction if there are many positive emotions." The input is the emotional state and agenda, and the output is the feedback information. The terminal displays this information to the user. 【0802】 Step 7: 【0803】 The server ultimately analyzes the data collected throughout the entire meeting and automatically generates meeting minutes. Using natural language generation technology, the server compiles the agenda and sentiment data extracted during the meeting into a document. The input is all the meeting data, and the output is the generated meeting minutes. The minutes are emailed to the participants and stored in cloud storage. 【0804】 (Application Example 2) 【0805】 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". 【0806】 Traditional meeting systems and customer service methods in stores often struggle to respond immediately to the emotions of participants and customers, hindering efficient and smooth progress and service delivery. Furthermore, they fail to leverage emotional shifts for effective decision-making and service optimization. 【0807】 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. 【0808】 In this invention, the server includes means for inputting the purpose of a meeting via a user input device, means for acquiring past meeting data from a database and generating a hypothetical meeting agenda, means for analyzing audio data in real time and generating text data, means for providing relevant information to terminals during the meeting to support the progress of the meeting, means for organizing the results of the discussion after the meeting and automatically generating meeting minutes, means for automatically sending the generated meeting minutes to participants, means for processing audio and video data acquired by terminal devices with an analysis device to identify emotional states and display them on an information display device, and means for providing suggestions to optimize services based on the emotional state of the customer. This enables immediate responses to the emotions of participants and customers, thereby improving the efficiency and quality of meetings and customer service. 【0809】 A "user input device" refers to a device used by users to input information such as the purpose of a meeting into a terminal. 【0810】 A "database" refers to a system that stores information such as past meeting data and allows it to be searched and retrieved as needed. 【0811】 "Audio data" refers to audio information that records the content of conversations during a meeting. 【0812】 "Real-time analysis" refers to processing data instantly and obtaining results immediately. 【0813】 "Text data" refers to character information generated by analyzing audio data. 【0814】 "Related information" refers to supplementary data and materials needed during the meeting. 【0815】 "The results of the discussion" refers to the conclusions and decisions reached during the meeting. 【0816】 "Meeting minutes" refers to a document that summarizes and records the content and decisions made at a meeting. 【0817】 "Terminal device" refers to an electronic device used for inputting or outputting information. 【0818】 "Audio and video data" refers to the spoken voice and visual information such as facial expressions of users and customers. 【0819】 An "analysis device" refers to a device that processes audio and video data and analyzes that data. 【0820】 "Emotional state" refers to information that indicates the psychological and emotional state of a user or customer. 【0821】 An "information display device" refers to a device equipped with a display for visually presenting analysis results to the user. 【0822】 "Suggestions for optimizing services" refers to information that presents the most suitable products and services based on the customer's emotions. 【0823】 To realize this invention, it is necessary to construct a system in which a server, terminal device, analysis device, and information display device work in coordination. The server receives information about the purpose of the meeting from the user input device and uses this information as a key to access the database. This allows the server to retrieve past meeting data, generate a hypothetical agenda, and provide it to the terminal. 【0824】 The terminal device is responsible for analyzing audio data generated during the meeting in real time and generating text data. The software used for this purpose is likely to be one of the currently available audio analysis engines. The generated text data, along with related information, is displayed on the terminal to support the progress of the meeting. 【0825】 Furthermore, the terminal device acquires audio and video data and transmits it to an analysis device. This analysis device processes the data in an advanced manner to identify the emotional state of the user or customer. The results are displayed in real time on an information display device and used to facilitate customer interaction. 【0826】 As a concrete example, consider a scenario where a store employee wears an information display device and analyzes video and audio through interaction with customers to identify their emotions. In this case, the display would show suggestions to optimize services for products the customer has shown interest in, allowing the employee to take an appropriate approach to the customer. This would make it possible to improve customer satisfaction. 【0827】 Examples of prompt messages include: "Generate a program that uses the customer's voice and video data to recognize emotions in real time and display the results on smart glasses." 【0828】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0829】 Step 1: 【0830】 The user enters the purpose of the meeting via a terminal device. The entered purpose is sent to the server, which uses this information as a key to access the database. The server searches past meeting data, generates a list of potential agenda items based on that information, and provides them to the terminal. The input is the purpose of the meeting, and the output is a list of potential agenda items. 【0831】 Step 2: 【0832】 When a meeting begins, the terminal device acquires audio data and sends it to the server in real time. The server uses a speech analysis engine to convert the audio data into text data. The input is audio data, and the output is text data. Specifically, the analysis involves converting speech to text using speech recognition technology. 【0833】 Step 3: 【0834】 During the meeting, the terminal device acquires audio and video data from the user and transmits it to the analysis device. The analysis device uses an AI model to identify the user's emotional state from changes in voice and facial expressions. The input is audio and video data, and the output is the emotion analysis result. Specifically, the process involves analyzing psychological characteristics using an emotion recognition algorithm. 【0835】 Step 4: 【0836】 The results of the emotional state generated by the analysis device are presented to the user in real time via an information display device. This allows the user to instantly decide on a response appropriate to the customer's emotions. The input is emotional state data, and the output is visual feedback information. Specific operations include displaying the emotional results on the display. 【0837】 Step 5: 【0838】 After the meeting ends, the server organizes the text and sentiment data acquired during the meeting and automatically generates meeting minutes that document the results of the discussion and decisions made. The input is text data and sentiment data, and the output is the meeting minutes. The specific operation involves a documenting process using natural language processing techniques. 【0839】 Step 6: 【0840】 Finally, the server emails the generated meeting minutes to all participants and saves them to cloud storage. The input is the meeting minutes, and the output is email and storage. The specific operations are transmission and data storage using electronic communication methods. 【0841】 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. 【0842】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0843】 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. 【0844】 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. 【0845】 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. 【0846】 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. 【0847】 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. 【0848】 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. 【0849】 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." 【0850】 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. 【0851】 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. 【0852】 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. 【0853】 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. 【0854】 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. 【0855】 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. 【0856】 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. 【0857】 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. 【0858】 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. 【0859】 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. 【0860】 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. 【0861】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference. 【0862】 The following is further disclosed regarding the embodiments described above. 【0863】 (Claim 1) 【0864】 A means of inputting the purpose of the meeting using a user input device, 【0865】 A means of retrieving past meeting data from a database and generating anticipated meeting agendas, 【0866】 A means for analyzing audio data in real time and generating text data, 【0867】 A means of providing relevant information to a terminal during a meeting to support the progress of the meeting, 【0868】 A method for organizing the results of discussions after a meeting and automatically generating meeting minutes, 【0869】 A method for automatically sending the generated meeting minutes to participants, 【0870】 A system that includes this. 【0871】 (Claim 2) 【0872】 The system according to claim 1, which generates research results and new ideas based on the purpose of a meeting and sends notifications to a terminal. 【0873】 (Claim 3) 【0874】 The system according to claim 1, which extracts important keywords when analyzing the aforementioned audio data and highlights them on the terminal. 【0875】 "Example 1" 【0876】 (Claim 1) 【0877】 A means of inputting the objective through a user device, 【0878】 A means of acquiring past information from an information recording medium and generating anticipated topics, 【0879】 A means for instantly analyzing audio information and generating text information, 【0880】 A means of providing relevant information to the device during a meeting to support its progress, 【0881】 A means to organize the results of the discussion after the meeting and automatically generate a record, 【0882】 A means of automatically sending the generated records to participants, 【0883】 A system that includes this. 【0884】 (Claim 2) 【0885】 The system according to claim 1, which generates research results and new concepts based on the objective and transmits notifications to the device. 【0886】 (Claim 3) 【0887】 The system according to claim 1, which, when analyzing the aforementioned audio information, extracts important terms and highlights them on the device. 【0888】 "Application Example 1" 【0889】 (Claim 1) 【0890】 A means of inputting the purpose of the meeting using a user input device, 【0891】 A means for obtaining past meeting information from an information storage device and generating a hypothetical agenda for the meeting, 【0892】 A means for analyzing audio information in real time and generating text information, 【0893】 A means of providing relevant information to devices during a meeting to support the progress of the meeting, 【0894】 A means to organize the results of the discussion after the meeting and automatically generate a record, 【0895】 A means of automatically sending the generated records to participants, 【0896】 A method for highlighting technical terms by analyzing audio information, 【0897】 Means of obtaining past technical documents, 【0898】 Means of saving records to cloud storage, 【0899】 A system that includes this. 【0900】 (Claim 2) 【0901】 The system according to claim 1, which generates information analysis results and new ideas based on the purpose of the meeting and transmits notifications to a device. 【0902】 (Claim 3) 【0903】 The system according to claim 1, which performs a natural language processing algorithm on a transcript of a speech recorded in real time to perform a summary. 【0904】 "Example 2 of combining an emotion engine" 【0905】 (Claim 1) 【0906】 A means for users to input the purpose of the meeting, 【0907】 A means of retrieving past meeting data from a data storage device and automatically generating anticipated meeting agendas, 【0908】 A means for analyzing audio information in real time and generating natural language text, 【0909】 A means of providing relevant information to an output device during a meeting to support the progress of the meeting, 【0910】 A means of analyzing audio data to recognize emotional states and generate feedback, 【0911】 A means of suggesting the next action based on emotional data, 【0912】 A method for organizing the results of discussions after a meeting and automatically generating meeting minutes, 【0913】 A means of automatically sending the generated meeting minutes to the members, 【0914】 A system that includes this. 【0915】 (Claim 2) 【0916】 The system according to claim 1, which generates recommended actions according to the purpose of a meeting and transmits a notification to an output device. 【0917】 (Claim 3) 【0918】 The system according to claim 1, which extracts important concepts for analyzing the aforementioned emotional state and highlights them on an output device. 【0919】 "Application example 2 when combining with an emotional engine" 【0920】 (Claim 1) 【0921】 A means of inputting the purpose of the meeting using a user input device, 【0922】 A means of retrieving past meeting data from a database and generating anticipated meeting agendas, 【0923】 A means for analyzing audio data in real time and generating text data, 【0924】 A means of providing relevant information to a terminal during a meeting to support the progress of the meeting, 【0925】 A method for organizing the results of discussions after a meeting and automatically generating meeting minutes, 【0926】 A method for automatically sending the generated meeting minutes to participants, 【0927】 A means for processing audio and video data acquired by a terminal device with an analysis device, identifying the emotional state, and displaying it on an information display device, 【0928】 A means of providing suggestions to optimize services based on the customer's emotional state, 【0929】 A system that includes this. 【0930】 (Claim 2) 【0931】 The system according to claim 1, which generates research results and new ideas based on the purpose of a meeting and sends notifications to a terminal. 【0932】 (Claim 3) 【0933】 The system according to claim 1, which extracts important keywords when analyzing the aforementioned audio data and highlights them on the terminal. [Explanation of Symbols] 【0934】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A means of inputting the purpose of the meeting using a user input device, A means of retrieving past meeting data from a database and generating anticipated meeting agendas, A means for analyzing audio data in real time and generating text data, A means of providing relevant information to a terminal during a meeting to support the progress of the meeting, A method for organizing the results of discussions after a meeting and automatically generating meeting minutes, A method for automatically sending the generated meeting minutes to participants, A system that includes this. [Claim 2] The system according to claim 1, which generates research results and new ideas based on the purpose of the meeting and sends notifications to a terminal. [Claim 3] The system according to claim 1, which extracts important keywords when analyzing the aforementioned audio data and highlights them on the terminal.

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