system

Abstract

We provide the system. [Solution] A primary means of executing a program that converts audio data into text data for collecting knowledge and experience from the elderly, A second means of executing a program that analyzes the converted text data and classifies it into predetermined categories, A third method for registering classified data on a digital platform and making it accessible to users, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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 Unexamined Patent Application Publication No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In an aging society, there is a lack of a method for effectively inheriting the valuable knowledge and experience possessed by many elderly people from those who are not used to digital technology to the next generation. As it is, the unique history and culture of the region and the experiences of ordinary people may be buried and lost. Furthermore, there is a communication barrier between the elderly and the next generation, and there is a problem that knowledge transmission becomes incomplete. 【Means for Solving the Problems】 【0005】 This invention provides a system that efficiently collects and digitally stores the knowledge and experience of elderly individuals using speech recognition and natural language processing technologies. Specifically, it converts speech data acquired from elderly individuals into text data, classifies it through analysis, and then registers it on a digital platform. This platform is accessible to users, allowing for easy searching of the collected knowledge. Furthermore, it incorporates a feedback system that enables continuous improvement based on the collected data, promoting the transfer of more accurate and comprehensive knowledge. 【0006】 "Audio data" refers to audio information data used to digitally record what elderly people say. 【0007】 "Text data" refers to data containing written information converted from audio data. 【0008】 "Natural language processing" is a technology that enables computers to understand and analyze human language. 【0009】 A "digital platform" is a software environment that runs on a computer and serves as a foundation for users to access and manipulate data. 【0010】 "Feedback" refers to opinions and evaluations of the user experience provided by users, and is information that helps improve the system. 【0011】 The term "elderly person" generally refers to individuals aged 60 or older who possess a wealth of experience and knowledge. 【0012】 "Knowledge and experience" refers to the information, skills, and rules of thumb that older adults possess on a particular topic, as well as the experience they have accumulated over time. 【0013】 "Classification" is the act of sorting collected data into an orderly manner based on its nature or theme. [Brief explanation of the drawing] 【0014】 [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】 【0015】 An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings. 【0016】 First, the terms used in the following description will be explained. 【0017】 In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0018】 In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0019】 In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc. 【0020】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0021】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0022】 [First Embodiment] 【0023】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0024】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0025】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0026】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0027】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0028】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0029】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0030】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0031】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0032】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0033】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0034】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0035】 The following system operation is an example of an embodiment of the present invention. First, the server receives voice data from the elderly person and converts it into text data in real time. This makes it possible to accurately record and save what the elderly person has said. By combining speech recognition technology and natural language processing technology, the system effectively analyzes the speech from the beginning to the conclusion and extracts important keywords and topics. 【0036】 Next, the server categorizes the analyzed text data into appropriate categories and registers it on a designed digital platform. The categorized information is visually organized for easy user access, providing an environment where users interested in specific knowledge or experiences can efficiently search for relevant information. For example, data on "post-war life" is presented to the user along with related videos and images. 【0037】 Users can access this digital platform via their devices and select topics of interest using the search function. The device then displays information related to the selected topic, such as data based on the experiences of older adults, including historical background and regional characteristics. Through this process, users can access the wealth of knowledge inherited from older adults. 【0038】 Furthermore, the server receives feedback from users and analyzes it to improve the system. For example, if a user finds certain information difficult to understand, the way that information is presented is refined, and adjustments are made to mitigate such problems in the future. 【0039】 In this way, the present invention provides a practical system for passing on the knowledge of the elderly to the next generation and for effectively utilizing digital technology. 【0040】 The following describes the processing flow. 【0041】 Step 1: 【0042】 The server receives the elderly person's voice from the input device and converts it into text data in real time using speech recognition technology. At this stage, the voice data is recorded as text information and stored for subsequent processing. 【0043】 Step 2: 【0044】 The server analyzes the converted text data and uses advanced natural language processing techniques to extract important keywords and topics. This analysis prepares the server to determine which category the data belongs to. 【0045】 Step 3: 【0046】 The server classifies the extracted text data into predetermined categories. For example, it assigns it to categories such as "history," "culture," and "technology," and records it in a systematically organized database. 【0047】 Step 4: 【0048】 The server uploads and registers the classified data on a digital platform. This prepares the system for users to access the information. 【0049】 Step 5: 【0050】 Users access a digital platform using their device and select categories of interest to obtain relevant distribution information. The device displays the selected information on its screen, allowing the user to view it. 【0051】 Step 6: 【0052】 Users provide feedback on the delivered content through the platform. This feedback concerns the usefulness and ease of understanding of the information. 【0053】 Step 7: 【0054】 The server uses the collected feedback to improve its data collection and classification methods, and incorporates these improvements into the next information transmission process. This improvement enhances the system's accuracy and user experience. 【0055】 (Example 1) 【0056】 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." 【0057】 To efficiently pass on the abundant knowledge and experience possessed by the elderly to the next generation, it is necessary to integrate diverse information sources and present them in a format that is easily accessible to users. However, current technology is not sufficiently efficient in analyzing audio data and extracting relevant information, and there is room for improvement in the classification and presentation methods of information. The present invention aims to solve these problems and provide a general-purpose information processing system that effectively utilizes the knowledge obtained from the elderly. 【0058】 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. 【0059】 In this invention, the server includes means for using an information processing device to convert voice information acquired from elderly people into text information, means for using a data processing system to analyze the converted text information and extract major language patterns, and means for using an information management device to classify the extracted information into specific information groups, register it in an electronic information infrastructure, and make it viewable by users. This makes it possible to effectively pass on the knowledge and experience of elderly people to the next generation and to make it easier for users to access information that interests them. 【0060】 "Auditory information" refers to data acquired through hearing, including what elderly people say. 【0061】 "Textual information" refers to data that is converted from speech and represented as a string of characters. 【0062】 An "information processing device" is a computing device used for collecting, transforming, and analyzing data. 【0063】 A "data processing system" is a mechanism that executes programs and algorithms to extract important linguistic patterns from textual information. 【0064】 An "information group" is a collection of related information classified according to specific criteria. 【0065】 "Electronic information infrastructure" refers to online platforms and systems for managing, storing, and providing digital information. 【0066】 An "information management device" is a computer system used for classifying, registering, and providing information. 【0067】 This invention is a system for effectively converting voice information acquired from elderly individuals into text information, and then analyzing, classifying, and providing it, thereby passing on knowledge and experience to the next generation. 【0068】 First, the server receives voice information from the elderly person. This voice information is converted into text using speech recognition software such as Google Cloud Speech-to-Text. When voice input is performed, the server prepares the data in an appropriate format to ensure clear results. This converted text information is then analyzed by the server using Python natural language processing libraries (e.g., NLTK and spaCy) to extract important keywords and topics. 【0069】 Next, the server classifies meaningful information based on the analysis results. This information is categorized according to its respective knowledge domain. A database system for managing digital information (e.g., MySQL®) is used for this classification process. This classified information is registered in the electronic information infrastructure and made publicly available for user access. 【0070】 Users can access the electronic information infrastructure via a terminal and search for topics of interest. The terminal quickly retrieves relevant information based on the user's selection and displays it in an appropriate format. For example, if a user enters "Tell me about the culture of the Showa era" into the terminal, the server will provide relevant content in response to this prompt. 【0071】 Furthermore, the server receives feedback from users and uses a generative AI model to analyze it and improve future information delivery. By continuously improving information collection and classification methods based on feedback, the system can function as a more effective knowledge delivery tool. 【0072】 Through this system, the wealth of knowledge and experience possessed by the elderly will be effectively organized in a digital environment and passed on to the next generation. 【0073】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0074】 Step 1: 【0075】 The server receives voice information from elderly individuals. When voice information is input, the server records the data in an appropriate format. The received voice information is converted into text information using speech recognition software. This process analyzes the sound waveform data, identifies and matches phonemes, and generates a string of characters. The output is the converted text information. 【0076】 Step 2: 【0077】 The server analyzes the converted text information. It performs semantic and syntactic analysis on the input text information using natural language processing techniques. Specifically, it uses Python's natural language processing library to extract important keywords and topics. The output is structured data containing the identified language patterns and themes. 【0078】 Step 3: 【0079】 The server classifies the analyzed data into specific groups of information. Based on the input structured data, the server assigns the data to predetermined categories. The classified information is stored and registered using a database system. The output of this step is the classified and integrated data as a group of information. 【0080】 Step 4: 【0081】 Users log in to the electronic information infrastructure through their own devices and search for topics of interest. Based on the keywords and topics entered by the user, the device accesses relevant information. The server extracts and outputs data that matches the search criteria. This output is a search result containing relevant information and content. 【0082】 Step 5: 【0083】 The server receives feedback from users. This feedback includes user opinions and requests. The server analyzes this input and uses a generative AI model to make suggestions that will be helpful for future information provision. The output is information about improvements and changes to presentations based on the feedback. 【0084】 (Application Example 1) 【0085】 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." 【0086】 While efficiently passing on the wealth of knowledge and experience possessed by the elderly to the next generation is socially valuable, there is a problem in that this knowledge often disappears without being organized and stored, simply being passed down orally. Furthermore, there are challenges in smooth information transmission due to limited means of communication connecting the elderly with other generations. Additionally, organizing and retrieving acquired information is difficult, resulting in a situation where it cannot be immediately utilized when needed. 【0087】 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. 【0088】 In this invention, the server includes information processing means that execute a program to acquire voice information from an elderly person and convert that voice information into text information; analysis means that execute a program to analyze the converted text information and classify it into predetermined groups based on its meaning; and registration means that register the classified information on an information display device and make the information accessible to the user via an information terminal. This makes it possible for the user to systematically organize the knowledge and experience of the elderly person and to easily search and acquire it. 【0089】 "Audio information" refers to data that includes linguistic content spoken orally by elderly individuals. 【0090】 "Text information" refers to string data that is converted from audio information and represented in digital format. 【0091】 "Information processing means" refers to a device or program used to convert voice information obtained from elderly individuals into text information. 【0092】 "Analysis means" refers to a device or program for classifying converted text information into predetermined groups based on its meaning. 【0093】 "Registration means" refers to a device or program for registering classified information in an information display device so that it can be accessed by users. 【0094】 An "information display device" is a device that provides an interface for users to access, view, or search for information. 【0095】 An "information terminal" is an electronic device used by users to access and obtain classified information. 【0096】 This invention provides a system that converts voice information acquired from elderly individuals into text information, enabling effective organization and retrieval of that information. The server uses the Google Cloud Speech-to-Text API, a speech recognition software, to convert the elderly individuals' conversations into text information. The converted text information is then analyzed using natural language processing libraries such as NLTK and spaCy, and classified into predetermined groups based on meaning. Subsequently, the classified information is registered in a database system using Firebase, and users can access it through their information terminals. The display interface is built using React Native and is designed to allow users to easily search and view information. 【0097】 For example, if an elderly person talks about their post-war community, the conversation is recorded in real time and saved as text. This information is then properly categorized, so that someone interested in a particular topic can quickly find relevant information when they search for it later. 【0098】 Using a generative AI model, an example of a user-inputted prompt might be: "I'd like to learn about the post-war lives of elderly people. Please tell me what kind of information they collected and how it was categorized." 【0099】 In this way, an environment can be created in which the knowledge and experience of the elderly are effectively passed on to the next generation. 【0100】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0101】 Step 1: 【0102】 The server acquires the audio information. The smartphone's microphone collects what the elderly person is saying and sends it to the server as digital audio data. The input is the elderly person's voice itself, and the output is digital audio data. 【0103】 Step 2: 【0104】 The server converts digital audio data into text information. Using the Google Cloud Speech-to-Text API, the audio data is converted to text in real time. The input is digital audio data, and the output is text information. Speech recognition provides the conversation content as a string of characters. 【0105】 Step 3: 【0106】 The server analyzes text information. Using natural language processing tools such as NLTK and spaCy, it extracts keywords and important topics from the text information and classifies them into predetermined groups. The input is text information, and the output is classified text data. It utilizes natural language processing techniques to organize information by theme. 【0107】 Step 4: 【0108】 The server registers the classified text data into a database. Using Firebase, the data is stored in an efficient, searchable format for later reference by users. The input is classified text data, and the output is the information stored in the database. Database registration ensures the information is permanently managed. 【0109】 Step 5: 【0110】 Users access registered information using an information terminal. A React Native application provides an interface that allows users to easily search and view information. Input is the user's search request, including a prompt, and output is the search result for the relevant information. This allows users to easily acquire specific knowledge. 【0111】 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. 【0112】 An embodiment of the present invention consists of the following system operation. First, the server receives voice from an elderly person and converts it into text data in real time using speech recognition technology. This converted data is further analyzed by natural language processing to extract important keywords. The extracted information is classified into predetermined categories and registered on a digital platform. 【0113】 The inclusion of an emotion engine allows the server to analyze the emotions of elderly individuals during conversations. For example, if an elderly person is speaking excitedly, the emotion engine can identify that emotion and generate instructions to adjust the flow of the conversation. This is particularly effective when an elderly person is enthusiastically discussing local traditional events. 【0114】 Furthermore, when users access data through a digital platform, the device can recognize the user's emotional state and dynamically adjust how the information is presented. Specifically, if a user shows any frustration, the device simplifies the display and makes the key points of the information easier to understand. This results in a more beneficial learning experience, allowing users to absorb information more smoothly. 【0115】 In the feedback system, the server not only collects opinions from users but also incorporates sentiment analysis results from the sentiment engine. This allows for continuous improvement of data collection and classification methods. This process enhances the quality of the information provided and enables more effective knowledge transfer. Through this embodiment of the present invention, intergenerational communication is smoothly realized digitally. 【0116】 The following describes the processing flow. 【0117】 Step 1: 【0118】 The server receives the voice of the elderly person. The voice data is recorded digitally via a microphone. The server uses speech recognition technology to convert the voice to text in real time. The text data obtained at this stage is immediately saved for the next processing step. 【0119】 Step 2: 【0120】 The server analyzes the converted text data and uses natural language processing techniques to understand its content. It extracts the most important keywords and themes and uses them to classify the text data into specific categories. This classification process is essential to make the collected information easily usable later. 【0121】 Step 3: 【0122】 The emotion engine analyzes the emotions of elderly individuals during conversations. The server uses the information obtained from the audio to determine the emotional state of the elderly person and adjust the flow of the conversation as needed. For example, if the elderly person is agitated, the server adjusts the tone and tempo of the questions accordingly. 【0123】 Step 4: 【0124】 The server uploads the categorized data to a digital platform. Here, the data is made publicly accessible to users and organized by category. Users can select topics of interest and view them in more detail. 【0125】 Step 5: 【0126】 The device detects user access and provides information through a digital platform. The device uses an emotion engine to analyze the user's emotional state in real time and presents information in an appropriate format. For example, if the user appears confused, the device converts the explanation into an easy-to-understand format. 【0127】 Step 6: 【0128】 After users finish viewing the information, they enter feedback. This feedback is sent from the device to the server and, along with the analysis results from the emotion engine, is used to improve future data provision. This allows the server to improve the overall accuracy of the system and user satisfaction. 【0129】 (Example 2) 【0130】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0131】 In modern times, there is a need for effective and smooth methods to pass on the valuable knowledge and experience of the elderly to the next generation. However, conventional methods do not adequately reflect dialogue with the elderly, which can result in information omissions and distortions. Furthermore, it is difficult to provide information that is tailored to the emotions and level of understanding of the recipient, resulting in low efficiency of information transmission. 【0132】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0133】 In this invention, the server includes means for acquiring voice information from an elderly person and converting the voice information into text format; means for analyzing the converted text format information and classifying it based on specific concepts; means for registering the classified information in an information infrastructure and making that information accessible to other users; means for using an emotion analysis medium and adjusting the dialogue based on concepts for analyzing emotional states; and means for adjusting the information presentation based on the emotion analysis results when a user accesses it via the information infrastructure. This makes it possible to dynamically present information according to the emotional needs of users while passing on the wealth of knowledge of elderly people to the next generation without impairing it. 【0134】 "Auditory information" refers to acoustic signals, including language, acquired from elderly individuals. This information serves as a source of data, including the content of conversations and emotional states. 【0135】 "Text format" refers to the string data format obtained after audio information has been converted. This format makes it easier to analyze and store the information. 【0136】 A "medium" refers to a collection of hardware and software used to perform specific processes within a server. Specifically, it may have functions such as speech conversion, data analysis, and information registration. 【0137】 An "information infrastructure" is a digital platform that stores, manages, and provides data. It provides an environment that other users can access. 【0138】 An "emotion analysis medium" is a tool for determining emotional states from voice or text data. This includes emotion recognition algorithms and libraries. 【0139】 "Classification" is the act of categorizing converted text-based information based on specific criteria or concepts. This makes it easier to manage and search for information. 【0140】 "Information presentation" refers to the act of displaying information in a format that is easily viewable by users upon access. This includes dynamic adjustments based on the user's emotional state. 【0141】 This invention is a system for efficiently extracting, storing, and utilizing valuable knowledge from the elderly in a digital environment. The main role in this system is played by a server, which performs several important functions. 【0142】 The server first receives voice information from elderly individuals via a dedicated voice input device. A high-sensitivity microphone is used for this purpose. The received voice information is converted into text format in real time using speech recognition software. Speech recognition APIs are commonly used for this software. This process forms the first step in saving elderly individuals' conversations as digital information. 【0143】 Next, the server analyzes the converted text using natural language processing techniques. At this stage, natural language processing libraries are utilized to extract important keywords and phrases. This makes it possible to classify the obtained information into specific concepts or categories. 【0144】 The extracted information is registered in the information infrastructure. This infrastructure functions as a digital platform and serves as a database accessible to other users. The data is properly structured and easily searchable and retrievalable. 【0145】 A further feature is that the server uses an emotion analysis medium to analyze the emotions contained in the speech of elderly people. Emotion analysis incorporates emotion recognition algorithms to identify the emotional state during speech, thereby making the conversation flow more naturally. For example, if an elderly person speaks passionately about a local event, the system can sense their excitement and generate an appropriate response. 【0146】 Furthermore, when users access information through the information infrastructure, the terminal analyzes the user's emotional state in real time and dynamically adjusts the information presentation. This prevents information comprehension from being hindered and enables effective information delivery tailored to the user's emotions. If a user shows frustration, the information is presented more concisely to aid understanding. 【0147】 For example, if an elderly person says they "used to look forward to the local Bon Odori festival," the server will extract the keywords "Bon Odori" and "enjoyment" and prepare to display related event information. The goal of this entire process is to share valuable knowledge across generations. 【0148】 An example of a prompt message could be input to a generative AI model such as, "Extract keywords related to the event from what the elderly person said, analyze their emotions, and assist in the conversation." 【0149】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0150】 Step 1: 【0151】 The server receives voice information from elderly individuals via a dedicated microphone device. It acquires voice data as input and feeds this data into voice recognition software. Here, the voice data is converted into text data through real-time processing. The output is text-formatted data. Specifically, the system captures voice through a high-sensitivity microphone, saves it to a buffer, and then sends it to the recognition software. 【0152】 Step 2: 【0153】 The server analyzes the converted text data using a natural language processing engine. It takes text data as input and performs natural language processing on it. Here, a keyword extraction algorithm is used to identify important words and phrases. A keyword list is generated as output. Specifically, it calls functions from a natural language processing library to analyze the text and extract keywords such as nouns and verbs. 【0154】 Step 3: 【0155】 The server classifies the extracted keywords into specific categories. It receives a list of keywords as input and performs data classification by assigning them to predefined categories. The output is a dataset classified by category. Specifically, it uses classification rules to label keywords into categories such as "events," "health," and "hobbies." 【0156】 Step 4: 【0157】 The server registers the classified data in the information infrastructure. It uses category-based datasets as input and stores them in the digital platform's database. The output is user-accessible data. Specifically, it registers datasets via a database API and creates search indexes. 【0158】 Step 5: 【0159】 The server analyzes the emotional state of text data using an emotion analysis medium. It takes text data as input and performs data calculations to identify the emotional state by applying an emotion recognition algorithm. Emotional state labels (e.g., joy, excitement) are generated as output. Specifically, it generates instructions for dialogue progression based on the analysis results. 【0160】 Step 6: 【0161】 The terminal analyzes the user's emotional state in real time using an emotion sensor when the user accesses the information infrastructure. It acquires the user's facial expressions and voice as input and applies emotion analysis technology. As output, it generates suggested adjustments to the information presentation method. Specifically, it dynamically changes the screen display according to the user's emotional state, highlighting key points of the information. 【0162】 Step 7: 【0163】 The server collects user feedback for improvement and uses it to improve data collection and classification methods. It takes feedback information as input and analyzes this data. As output, improvement proposals are formulated. Specifically, it clusters the feedback and analyzes patterns to identify areas for system improvement. 【0164】 (Application Example 2) 【0165】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0166】 In modern society, with its declining birthrate and aging population, there is a challenge in passing on the abundant knowledge and experience of the elderly to future generations. Furthermore, there is still insufficient technology to understand the emotions of the elderly in real time and respond appropriately when communicating with them. In addition, there is a lack of systems that automatically adjust the method of information provision according to the emotional state of the user. Therefore, there is a need to solve these problems. 【0167】 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. 【0168】 In this invention, the server includes means for converting audio data for collecting knowledge and experience from elderly people into text data, means for analyzing the converted text data and classifying it into predetermined categories, means for registering the classified data on a digital platform and making it accessible to users, and means for identifying the emotional state of elderly people and dynamically adjusting the progress of the conversation or the method of providing information. This enables the smooth transfer of knowledge and experience from elderly people and the realization of appropriate communication that is in line with their emotions. 【0169】 The term "elderly" refers to people who have aged, generally those 65 years of age or older, but it also encompasses people of an age group with rich life experience and diverse knowledge. 【0170】 "Knowledge and experience" refers to information, skills, and lessons learned by an individual through past learning and real-life experiences. 【0171】 "Audio data" refers to information recorded in digital format from human voices, and is used for analyzing speech and converting it into text. 【0172】 "Text data" refers to digital information represented as a string of characters, making it suitable for processing and storing on computers. 【0173】 A "digital platform" refers to a system or service that provides an environment where information can be shared online and accessed by users. 【0174】 "Emotional state" refers to the mental state or emotional expression that an individual feels at a particular moment, and includes joy, anger, sadness, and other emotions. 【0175】 "Speech recognition" is a technology that converts speech into text format that computers can understand, and is used for automating and recording conversations. 【0176】 "Natural language processing technology" is a technology that enables computers to understand, process, and generate human language, and is used for analyzing audio data and extracting information. 【0177】 "Facilitation of a conversation" refers to the process of managing the flow and development of the content of a conversation in communication. 【0178】 "Information provision methods" refer to the techniques and means of presenting and displaying information to users, and involve methods designed to effectively convey large amounts of information. 【0179】 One embodiment of this invention is a system that supports communication with the elderly and registers their knowledge and experience on a digital platform. The server acquires the elderly person's voice in real time and converts it into text data using speech recognition technology. Speech recognition software such as the Google Speech-to-Text API is used in this process. The converted text data is analyzed using the Python NLTK library to extract important information. 【0180】 Next, the server classifies the extracted information into predetermined categories and registers it on a digital platform. Because this platform is accessible to users, the sharing of knowledge and experience is facilitated. In addition, an emotion engine checks the emotional state of elderly individuals in real time, allowing users to dynamically adjust the flow of the conversation. Emotion analysis tools such as Microsoft® Azure® Text Analytics API are used. 【0181】 On the other hand, the device detects the user's emotional state when they access information and adjusts the display method and content accordingly. If the user shows frustration, the device optimizes the user experience by simplifying the display of information. 【0182】 A concrete example is a scenario where a device converts audio descriptions of local traditional events from elderly people into text, analyzes that data, and displays relevant information on a digital platform. In this way, the knowledge of the elderly is passed on, and communication with users is improved. 【0183】 An example of a prompt for using a generative AI model is: "Take a text input of a 72-year-old woman talking about past travels, and generate a scenario to extract important information, perform sentiment analysis, and adjust how it is displayed." 【0184】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0185】 Step 1: 【0186】 The server acquires the elderly person's voice in real time via a microphone. The voice data is input into the Google Speech-to-Text API and converted into text data. This conversion outputs the voice information in a text format that can be analyzed. 【0187】 Step 2: 【0188】 The server analyzes text data using Python's NLTK library. It analyzes the grammar and meaning of the input text data and extracts important keywords. This data processing extracts relevant information. 【0189】 Step 3: 【0190】 The server classifies the extracted keywords into predetermined categories. The text data is processed using natural language processing technology, and classification information corresponding to the categories is output. The classified information is registered on a digital platform. 【0191】 Step 4: 【0192】 The server uses the Microsoft Azure Text Analytics API to analyze the emotional state of elderly individuals. By inputting voice-to-text data and performing emotion analysis, it outputs instructions to adjust the conversation based on those emotions. 【0193】 Step 5: 【0194】 The device detects the user's emotional state through sensors and the user interface when they access the digital platform. Based on the detected emotional state, it adjusts the display method and the content of the information. Specifically, if there is input indicating frustration, the information is simplified and outputted to optimize the user experience. 【0195】 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. 【0196】 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. 【0197】 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. 【0198】 [Second Embodiment] 【0199】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0200】 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. 【0201】 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). 【0202】 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. 【0203】 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. 【0204】 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). 【0205】 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. 【0206】 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. 【0207】 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. 【0208】 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. 【0209】 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. 【0210】 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". 【0211】 The following system operation is an example of an embodiment of the present invention. First, the server receives voice data from the elderly person and converts it into text data in real time. This makes it possible to accurately record and save what the elderly person has said. By combining speech recognition technology and natural language processing technology, the system effectively analyzes the speech from the beginning to the conclusion and extracts important keywords and topics. 【0212】 Next, the server categorizes the analyzed text data into appropriate categories and registers it on a designed digital platform. The categorized information is visually organized for easy user access, providing an environment where users interested in specific knowledge or experiences can efficiently search for relevant information. For example, data on "post-war life" is presented to the user along with related videos and images. 【0213】 Users can access this digital platform via their devices and select topics of interest using the search function. The device then displays information related to the selected topic, such as data based on the experiences of older adults, including historical background and regional characteristics. Through this process, users can access the wealth of knowledge inherited from older adults. 【0214】 Furthermore, the server receives feedback from users and analyzes it to improve the system. For example, if a user finds certain information difficult to understand, the way that information is presented is refined, and adjustments are made to mitigate such problems in the future. 【0215】 In this way, the present invention provides a practical system for passing on the knowledge of the elderly to the next generation and for effectively utilizing digital technology. 【0216】 The following describes the processing flow. 【0217】 Step 1: 【0218】 The server receives the elderly person's voice from the input device and converts it into text data in real time using speech recognition technology. At this stage, the voice data is recorded as text information and stored for subsequent processing. 【0219】 Step 2: 【0220】 The server analyzes the converted text data and uses advanced natural language processing techniques to extract important keywords and topics. This analysis prepares the server to determine which category the data belongs to. 【0221】 Step 3: 【0222】 The server classifies the extracted text data into predetermined categories. For example, it assigns it to categories such as "history," "culture," and "technology," and records it in a systematically organized database. 【0223】 Step 4: 【0224】 The server uploads and registers the classified data on a digital platform. This prepares the system for users to access the information. 【0225】 Step 5: 【0226】 Users access a digital platform using their device and select categories of interest to obtain relevant distribution information. The device displays the selected information on its screen, allowing the user to view it. 【0227】 Step 6: 【0228】 Users provide feedback on the delivered content through the platform. This feedback concerns the usefulness and ease of understanding of the information. 【0229】 Step 7: 【0230】 The server uses the collected feedback to improve its data collection and classification methods, and incorporates these improvements into the next information transmission process. This improvement enhances the system's accuracy and user experience. 【0231】 (Example 1) 【0232】 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." 【0233】 To efficiently pass on the abundant knowledge and experience possessed by the elderly to the next generation, it is necessary to integrate diverse information sources and present them in a format that is easily accessible to users. However, current technology is not sufficiently efficient in analyzing audio data and extracting relevant information, and there is room for improvement in the classification and presentation methods of information. The present invention aims to solve these problems and provide a general-purpose information processing system that effectively utilizes the knowledge obtained from the elderly. 【0234】 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. 【0235】 In this invention, the server includes means for using an information processing device to convert voice information acquired from elderly people into text information, means for using a data processing system to analyze the converted text information and extract major language patterns, and means for using an information management device to classify the extracted information into specific information groups, register it in an electronic information infrastructure, and make it viewable by users. This makes it possible to effectively pass on the knowledge and experience of elderly people to the next generation and to make it easier for users to access information that interests them. 【0236】 "Auditory information" refers to data acquired through hearing, including what elderly people say. 【0237】 "Textual information" refers to data that is converted from speech and represented as a string of characters. 【0238】 An "information processing device" is a computing device used for collecting, transforming, and analyzing data. 【0239】 A "data processing system" is a mechanism that executes programs and algorithms to extract important linguistic patterns from textual information. 【0240】 An "information group" is a collection of related information classified according to specific criteria. 【0241】 "Electronic information infrastructure" refers to online platforms and systems for managing, storing, and providing digital information. 【0242】 An "information management device" is a computer system used for classifying, registering, and providing information. 【0243】 This invention is a system for effectively converting voice information acquired from elderly individuals into text information, and then analyzing, classifying, and providing it, thereby passing on knowledge and experience to the next generation. 【0244】 First, the server receives voice information from the elderly person. This voice information is converted into text using speech recognition software such as Google Cloud Speech-to-Text. When voice input is performed, the server formats the data appropriately to ensure clear results. This converted text information is then analyzed by the server using Python natural language processing libraries (e.g., NLTK and spaCy) to extract important keywords and topics. 【0245】 Next, the server classifies meaningful information based on the analysis results. This information is categorized according to its respective knowledge domain. A database system for managing digital information (e.g., MySQL) is used for this classification process. This classified information is registered in the electronic information infrastructure and made publicly available for user access. 【0246】 Users can access the electronic information infrastructure via a terminal and search for topics of interest. The terminal quickly retrieves relevant information based on the user's selection and displays it in an appropriate format. For example, if a user enters "Tell me about the culture of the Showa era" into the terminal, the server will provide relevant content in response to this prompt. 【0247】 Furthermore, the server receives feedback from users and uses a generative AI model to analyze it and improve future information delivery. By continuously improving information collection and classification methods based on feedback, the system can function as a more effective knowledge delivery tool. 【0248】 Through this system, the wealth of knowledge and experience possessed by the elderly will be effectively organized in a digital environment and passed on to the next generation. 【0249】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0250】 Step 1: 【0251】 The server receives voice information from elderly individuals. When voice information is input, the server records the data in an appropriate format. The received voice information is converted into text information using speech recognition software. This process analyzes the sound waveform data, identifies and matches phonemes, and generates a string of characters. The output is the converted text information. 【0252】 Step 2: 【0253】 The server analyzes the converted text information. It performs semantic and syntactic analysis on the input text information using natural language processing techniques. Specifically, it uses Python's natural language processing library to extract important keywords and topics. The output is structured data containing the identified language patterns and themes. 【0254】 Step 3: 【0255】 The server classifies the analyzed data into specific groups of information. Based on the input structured data, the server assigns the data to predetermined categories. The classified information is stored and registered using a database system. The output of this step is the classified and integrated data as a group of information. 【0256】 Step 4: 【0257】 Users log in to the electronic information infrastructure through their own devices and search for topics of interest. Based on the keywords and topics entered by the user, the device accesses relevant information. The server extracts and outputs data that matches the search criteria. This output is a search result containing relevant information and content. 【0258】 Step 5: 【0259】 The server receives feedback from users. This feedback includes user opinions and requests. The server analyzes this input and uses a generative AI model to make suggestions that will be helpful for future information provision. The output is information about improvements and changes to presentations based on the feedback. 【0260】 (Application Example 1) 【0261】 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." 【0262】 While efficiently passing on the wealth of knowledge and experience possessed by the elderly to the next generation is socially valuable, there is a problem in that this knowledge often disappears without being organized and stored, simply being passed down orally. Furthermore, there are challenges in smooth information transmission due to limited means of communication connecting the elderly with other generations. Additionally, organizing and retrieving acquired information is difficult, resulting in a situation where it cannot be immediately utilized when needed. 【0263】 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. 【0264】 In this invention, the server includes information processing means that execute a program to acquire voice information from an elderly person and convert that voice information into text information; analysis means that execute a program to analyze the converted text information and classify it into predetermined groups based on its meaning; and registration means that register the classified information on an information display device and make the information accessible to the user via an information terminal. This makes it possible for the user to systematically organize the knowledge and experience of the elderly person and to easily search and acquire it. 【0265】 "Audio information" refers to data that includes linguistic content spoken orally by elderly individuals. 【0266】 "Text information" refers to string data that is converted from audio information and represented in digital format. 【0267】 "Information processing means" refers to a device or program used to convert voice information obtained from elderly individuals into text information. 【0268】 "Analysis means" refers to a device or program for classifying converted text information into predetermined groups based on its meaning. 【0269】 "Registration means" refers to a device or program for registering classified information in an information display device so that it can be accessed by users. 【0270】 An "information display device" is a device that provides an interface for users to access, view, or search for information. 【0271】 An "information terminal" is an electronic device used by users to access and obtain classified information. 【0272】 This invention provides a system that converts voice information acquired from elderly individuals into text information, enabling effective organization and retrieval of that information. The server uses the Google Cloud Speech-to-Text API, a speech recognition software, to convert the elderly individuals' conversations into text information. The converted text information is then analyzed using natural language processing libraries such as NLTK and spaCy, and classified into predetermined groups based on meaning. Subsequently, the classified information is registered in a database system using Firebase, and users can access it through their information terminals. The display interface is built using React Native and is designed to allow users to easily search and view information. 【0273】 For example, if an elderly person talks about their post-war community, the conversation is recorded in real time and saved as text. This information is then properly categorized, so that someone interested in a particular topic can quickly find relevant information when they search for it later. 【0274】 Using a generative AI model, an example of a user-inputted prompt might be: "I'd like to learn about the post-war lives of elderly people. Please tell me what kind of information they collected and how it was categorized." 【0275】 In this way, an environment can be created in which the knowledge and experience of the elderly are effectively passed on to the next generation. 【0276】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0277】 Step 1: 【0278】 The server acquires the audio information. The smartphone's microphone collects what the elderly person is saying and sends it to the server as digital audio data. The input is the elderly person's voice itself, and the output is digital audio data. 【0279】 Step 2: 【0280】 The server converts digital audio data into text information. Using the Google Cloud Speech-to-Text API, the audio data is converted into text in real time. The input is digital audio data and the output is text information. Through speech recognition, the conversation content is obtained as a character string. 【0281】 Step 3: 【0282】 The server analyzes the text information. Using natural language processing tools such as NLTK and spaCy, keywords and important topics are extracted from the text information and classified into predetermined groups. The input is text information and the output is classified text data. By making full use of natural language processing technology, the information is organized by theme. 【0283】 Step 4: 【0284】 The server registers the classified text data in the database. Using Firebase, the data is saved in a format that enables efficient search so that users can refer to it later. The input is classified text data and the output is the information saved in the database. Through database registration, the information is permanently managed. 【0285】 Step 5: 【0286】 The user accesses the information registered using the information terminal. Through an application using React Native, an interface is provided that enables the user to easily search for and view information. The input is the user's search request including a prompt sentence, and the output is the search result of the corresponding information. Thereby, the user can easily acquire specific knowledge. 【0287】 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. 【0288】 An embodiment of the present invention consists of the following system operation. First, the server receives voice from an elderly person and converts it into text data in real time using speech recognition technology. This converted data is further analyzed by natural language processing to extract important keywords. The extracted information is classified into predetermined categories and registered on a digital platform. 【0289】 The inclusion of an emotion engine allows the server to analyze the emotions of elderly individuals during conversations. For example, if an elderly person is speaking excitedly, the emotion engine can identify that emotion and generate instructions to adjust the flow of the conversation. This is particularly effective when an elderly person is enthusiastically discussing local traditional events. 【0290】 Furthermore, when users access data through a digital platform, the device can recognize the user's emotional state and dynamically adjust how the information is presented. Specifically, if a user shows any frustration, the device simplifies the display and makes the key points of the information easier to understand. This results in a more beneficial learning experience, allowing users to absorb information more smoothly. 【0291】 In the feedback system, the server not only collects opinions from users but also incorporates sentiment analysis results from the sentiment engine. This allows for continuous improvement of data collection and classification methods. This process enhances the quality of the information provided and enables more effective knowledge transfer. Through this embodiment of the present invention, intergenerational communication is smoothly realized digitally. 【0292】 The following describes the processing flow. 【0293】 Step 1: 【0294】 The server receives the voice of the elderly person. The voice data is recorded digitally via a microphone. The server uses speech recognition technology to convert the voice to text in real time. The text data obtained at this stage is immediately saved for the next processing step. 【0295】 Step 2: 【0296】 The server analyzes the converted text data and uses natural language processing techniques to understand its content. It extracts the most important keywords and themes and uses them to classify the text data into specific categories. This classification process is essential to make the collected information easily usable later. 【0297】 Step 3: 【0298】 The emotion engine analyzes the emotions of elderly individuals during conversations. The server uses the information obtained from the audio to determine the emotional state of the elderly person and adjust the flow of the conversation as needed. For example, if the elderly person is agitated, the server adjusts the tone and tempo of the questions accordingly. 【0299】 Step 4: 【0300】 The server uploads the categorized data to a digital platform. Here, the data is made publicly accessible to users and organized by category. Users can select topics of interest and view them in more detail. 【0301】 Step 5: 【0302】 The terminal detects the user's access and provides information through a digital platform. The terminal uses an emotion engine to analyze the user's emotional state in real time and presents information in an appropriate form accordingly. For example, when the user shows signs of confusion, the terminal converts the explanation into an easy-to-understand format. 【0303】 Step 6: 【0304】 After the user finishes browsing the information, they input feedback. This feedback is sent from the terminal to the server and is used for improving the next data provision together with the analysis results by the emotion engine. This enables the server to improve the accuracy of the entire system and the user satisfaction. 【0305】 (Example 2) 【0306】 Next, Example 2 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0307】 In modern times, there is a need for a method to effectively and smoothly inherit the valuable knowledge and experience possessed by the elderly to the next generation. However, in the conventional method, the interaction with the elderly is not fully reflected, and as a result, information gaps or distortions may occur. Also, there is a problem that it is difficult to provide information according to the emotions and understanding levels of the recipients, and the efficiency of information transmission is low. 【0308】 The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following respective means. 【0309】 In this invention, the server includes means for acquiring voice information from an elderly person and converting the voice information into text format; means for analyzing the converted text format information and classifying it based on specific concepts; means for registering the classified information in an information infrastructure and making that information accessible to other users; means for using an emotion analysis medium and adjusting the dialogue based on concepts for analyzing emotional states; and means for adjusting the information presentation based on the emotion analysis results when a user accesses it via the information infrastructure. This makes it possible to dynamically present information according to the emotional needs of users while passing on the wealth of knowledge of elderly people to the next generation without impairing it. 【0310】 "Auditory information" refers to acoustic signals, including language, acquired from elderly individuals. This information serves as a source of data, including the content of conversations and emotional states. 【0311】 "Text format" refers to the string data format obtained after audio information has been converted. This format makes it easier to analyze and store the information. 【0312】 A "medium" refers to a collection of hardware and software used to perform specific processes within a server. Specifically, it may have functions such as speech conversion, data analysis, and information registration. 【0313】 An "information infrastructure" is a digital platform that stores, manages, and provides data. It provides an environment that other users can access. 【0314】 An "emotion analysis medium" is a tool for determining emotional states from voice or text data. This includes emotion recognition algorithms and libraries. 【0315】 "Classification" is the act of categorizing converted text-based information based on specific criteria or concepts. This makes it easier to manage and search for information. 【0316】 "Information presentation" refers to the act of displaying information in a format that is easily viewable by users upon access. This includes dynamic adjustments based on the user's emotional state. 【0317】 This invention is a system for efficiently extracting, storing, and utilizing valuable knowledge from the elderly in a digital environment. The main role in this system is played by a server, which performs several important functions. 【0318】 The server first receives voice information from elderly individuals via a dedicated voice input device. A high-sensitivity microphone is used for this purpose. The received voice information is converted into text format in real time using speech recognition software. Speech recognition APIs are commonly used for this software. This process forms the first step in saving elderly individuals' conversations as digital information. 【0319】 Next, the server analyzes the converted text using natural language processing techniques. At this stage, natural language processing libraries are utilized to extract important keywords and phrases. This makes it possible to classify the obtained information into specific concepts or categories. 【0320】 The extracted information is registered in the information infrastructure. This infrastructure functions as a digital platform and serves as a database accessible to other users. The data is properly structured and easily searchable and retrievalable. 【0321】 A further feature is that the server uses an emotion analysis medium to analyze the emotions contained in the speech of elderly people. Emotion analysis incorporates emotion recognition algorithms to identify the emotional state during speech, thereby making the conversation flow more naturally. For example, if an elderly person speaks passionately about a local event, the system can sense their excitement and generate an appropriate response. 【0322】 Furthermore, when users access information through the information infrastructure, the terminal analyzes the user's emotional state in real time and dynamically adjusts the information presentation. This prevents information comprehension from being hindered and enables effective information delivery tailored to the user's emotions. If a user shows frustration, the information is presented more concisely to aid understanding. 【0323】 For example, if an elderly person says they "used to look forward to the local Bon Odori festival," the server will extract the keywords "Bon Odori" and "enjoyment" and prepare to display related event information. The goal of this entire process is to share valuable knowledge across generations. 【0324】 An example of a prompt message could be input to a generative AI model such as, "Extract keywords related to the event from what the elderly person said, analyze their emotions, and assist in the conversation." 【0325】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0326】 Step 1: 【0327】 The server receives voice information from elderly individuals via a dedicated microphone device. It acquires voice data as input and feeds this data into voice recognition software. Here, the voice data is converted into text data through real-time processing. The output is text-formatted data. Specifically, the system captures voice through a high-sensitivity microphone, saves it to a buffer, and then sends it to the recognition software. 【0328】 Step 2: 【0329】 The server analyzes the converted text data using a natural language processing engine. It takes text data as input and performs natural language processing on it. Here, a keyword extraction algorithm is used to identify important words and phrases. A keyword list is generated as output. Specifically, it calls functions from a natural language processing library to analyze the text and extract keywords such as nouns and verbs. 【0330】 Step 3: 【0331】 The server classifies the extracted keywords into specific categories. It receives a list of keywords as input and performs data classification by assigning them to predefined categories. The output is a dataset classified by category. Specifically, it uses classification rules to label keywords into categories such as "events," "health," and "hobbies." 【0332】 Step 4: 【0333】 The server registers the classified data in the information infrastructure. It uses category-based datasets as input and stores them in the digital platform's database. The output is user-accessible data. Specifically, it registers datasets via a database API and creates search indexes. 【0334】 Step 5: 【0335】 The server analyzes the emotional state of text data using an emotion analysis medium. It takes text data as input and performs data calculations to identify the emotional state by applying an emotion recognition algorithm. Emotional state labels (e.g., joy, excitement) are generated as output. Specifically, it generates instructions for dialogue progression based on the analysis results. 【0336】 Step 6: 【0337】 The terminal analyzes the user's emotional state in real time using an emotion sensor when the user accesses the information infrastructure. It acquires the user's facial expressions and voice as input and applies emotion analysis technology. As output, it generates suggested adjustments to the information presentation method. Specifically, it dynamically changes the screen display according to the user's emotional state, highlighting key points of the information. 【0338】 Step 7: 【0339】 The server collects user feedback for improvement and uses it to improve data collection and classification methods. It takes feedback information as input and analyzes this data. As output, improvement proposals are formulated. Specifically, it clusters the feedback and analyzes patterns to identify areas for system improvement. 【0340】 (Application Example 2) 【0341】 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." 【0342】 In modern society, with its declining birthrate and aging population, there is a challenge in passing on the abundant knowledge and experience of the elderly to future generations. Furthermore, there is still insufficient technology to understand the emotions of the elderly in real time and respond appropriately when communicating with them. In addition, there is a lack of systems that automatically adjust the method of information provision according to the emotional state of the user. Therefore, there is a need to solve these problems. 【0343】 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. 【0344】 In this invention, the server includes means for converting audio data for collecting knowledge and experience from elderly people into text data, means for analyzing the converted text data and classifying it into predetermined categories, means for registering the classified data on a digital platform and making it accessible to users, and means for identifying the emotional state of elderly people and dynamically adjusting the progress of the conversation or the method of providing information. This enables the smooth transfer of knowledge and experience from elderly people and the realization of appropriate communication that is in line with their emotions. 【0345】 The term "elderly" refers to people who have aged, generally those 65 years of age or older, but it also encompasses people of an age group with rich life experience and diverse knowledge. 【0346】 "Knowledge and experience" refers to information, skills, and lessons learned by an individual through past learning and real-life experiences. 【0347】 "Audio data" refers to information recorded in digital format from human voices, and is used for analyzing speech and converting it into text. 【0348】 "Text data" refers to digital information represented as a string of characters, making it suitable for processing and storing on computers. 【0349】 A "digital platform" refers to a system or service that provides an environment where information can be shared online and accessed by users. 【0350】 "Emotional state" refers to the mental state or emotional expression that an individual feels at a particular moment, and includes joy, anger, sadness, and other emotions. 【0351】 "Speech recognition" is a technology that converts speech into text format that computers can understand, and is used for automating and recording conversations. 【0352】 "Natural language processing technology" is a technology that enables computers to understand, process, and generate human language, and is used for analyzing audio data and extracting information. 【0353】 "Facilitation of a conversation" refers to the process of managing the flow and development of the content of a conversation in communication. 【0354】 "Information provision methods" refer to the techniques and means of presenting and displaying information to users, and involve methods designed to effectively convey large amounts of information. 【0355】 One embodiment of this invention is a system that supports communication with the elderly and registers their knowledge and experience on a digital platform. The server acquires the elderly person's voice in real time and converts it into text data using speech recognition technology. Speech recognition software such as the Google Speech-to-Text API is used in this process. The converted text data is analyzed using the Python NLTK library to extract important information. 【0356】 Next, the server categorizes the extracted information and registers it on a digital platform. Because this platform is accessible to users, it facilitates the sharing of knowledge and experience. In addition, an emotion engine checks the emotional state of elderly individuals in real time, allowing users to dynamically adjust the flow of the conversation. Emotion analysis tools such as Microsoft Azure's Text Analytics API are used. 【0357】 On the other hand, the device detects the user's emotional state when they access information and adjusts the display method and content accordingly. If the user shows frustration, the device optimizes the user experience by simplifying the display of information. 【0358】 A concrete example is a scenario where a device converts audio descriptions of local traditional events from elderly people into text, analyzes that data, and displays relevant information on a digital platform. In this way, the knowledge of the elderly is passed on, and communication with users is improved. 【0359】 An example of a prompt for using a generative AI model is: "Take a text input of a 72-year-old woman talking about past travels, and generate a scenario to extract important information, perform sentiment analysis, and adjust how it is displayed." 【0360】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0361】 Step 1: 【0362】 The server acquires the elderly person's voice in real time via a microphone. The voice data is input into the Google Speech-to-Text API and converted into text data. This conversion outputs the voice information in a text format that can be analyzed. 【0363】 Step 2: 【0364】 The server analyzes text data using Python's NLTK library. It analyzes the grammar and meaning of the input text data and extracts important keywords. This data processing extracts relevant information. 【0365】 Step 3: 【0366】 The server classifies the extracted keywords into predetermined categories. The text data is processed using natural language processing technology, and classification information corresponding to the categories is output. The classified information is registered on a digital platform. 【0367】 Step 4: 【0368】 The server uses the Microsoft Azure Text Analytics API to analyze the emotional state of elderly individuals. By inputting voice-to-text data and performing emotion analysis, it outputs instructions to adjust the conversation based on those emotions. 【0369】 Step 5: 【0370】 The device detects the user's emotional state through sensors and the user interface when they access the digital platform. Based on the detected emotional state, it adjusts the display method and the content of the information. Specifically, if there is input indicating frustration, the information is simplified and outputted to optimize the user experience. 【0371】 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. 【0372】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0373】 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. 【0374】 [Third Embodiment] 【0375】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0376】 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. 【0377】 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). 【0378】 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. 【0379】 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. 【0380】 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). 【0381】 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. 【0382】 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. 【0383】 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. 【0384】 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. 【0385】 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. 【0386】 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". 【0387】 The following system operation is an example of an embodiment of the present invention. First, the server receives voice data from the elderly person and converts it into text data in real time. This makes it possible to accurately record and save what the elderly person has said. By combining speech recognition technology and natural language processing technology, the system effectively analyzes the speech from the beginning to the conclusion and extracts important keywords and topics. 【0388】 Next, the server categorizes the analyzed text data into appropriate categories and registers it on a designed digital platform. The categorized information is visually organized for easy user access, providing an environment where users interested in specific knowledge or experiences can efficiently search for relevant information. For example, data on "post-war life" is presented to the user along with related videos and images. 【0389】 Users can access this digital platform via their devices and select topics of interest using the search function. The device then displays information related to the selected topic, such as data based on the experiences of older adults, including historical background and regional characteristics. Through this process, users can access the wealth of knowledge inherited from older adults. 【0390】 Furthermore, the server receives feedback from users and analyzes it to improve the system. For example, if a user finds certain information difficult to understand, the way that information is presented is refined, and adjustments are made to mitigate such problems in the future. 【0391】 In this way, the present invention provides a practical system for passing on the knowledge of the elderly to the next generation and for effectively utilizing digital technology. 【0392】 The following describes the processing flow. 【0393】 Step 1: 【0394】 The server receives the elderly person's voice from the input device and converts it into text data in real time using speech recognition technology. At this stage, the voice data is recorded as text information and stored for subsequent processing. 【0395】 Step 2: 【0396】 The server analyzes the converted text data and uses advanced natural language processing techniques to extract important keywords and topics. This analysis prepares the server to determine which category the data belongs to. 【0397】 Step 3: 【0398】 The server classifies the extracted text data into predetermined categories. For example, it assigns it to categories such as "history," "culture," and "technology," and records it in a systematically organized database. 【0399】 Step 4: 【0400】 The server uploads and registers the classified data on a digital platform. This prepares the system for users to access the information. 【0401】 Step 5: 【0402】 Users access a digital platform using their device and select categories of interest to obtain relevant distribution information. The device displays the selected information on its screen, allowing the user to view it. 【0403】 Step 6: 【0404】 Users provide feedback on the delivered content through the platform. This feedback concerns the usefulness and ease of understanding of the information. 【0405】 Step 7: 【0406】 The server uses the collected feedback to improve its data collection and classification methods, and incorporates these improvements into the next information transmission process. This improvement enhances the system's accuracy and user experience. 【0407】 (Example 1) 【0408】 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." 【0409】 To efficiently pass on the abundant knowledge and experience possessed by the elderly to the next generation, it is necessary to integrate diverse information sources and present them in a format that is easily accessible to users. However, current technology is not sufficiently efficient in analyzing audio data and extracting relevant information, and there is room for improvement in the classification and presentation methods of information. The present invention aims to solve these problems and provide a general-purpose information processing system that effectively utilizes the knowledge obtained from the elderly. 【0410】 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. 【0411】 In this invention, the server includes means for using an information processing device to convert voice information acquired from elderly people into text information, means for using a data processing system to analyze the converted text information and extract major language patterns, and means for using an information management device to classify the extracted information into specific information groups, register it in an electronic information infrastructure, and make it viewable by users. This makes it possible to effectively pass on the knowledge and experience of elderly people to the next generation and to make it easier for users to access information that interests them. 【0412】 "Auditory information" refers to data acquired through hearing, including what elderly people say. 【0413】 "Textual information" refers to data that is converted from speech and represented as a string of characters. 【0414】 An "information processing device" is a computing device used for collecting, transforming, and analyzing data. 【0415】 A "data processing system" is a mechanism that executes programs and algorithms to extract important linguistic patterns from textual information. 【0416】 An "information group" is a collection of related information classified according to specific criteria. 【0417】 "Electronic information infrastructure" refers to online platforms and systems for managing, storing, and providing digital information. 【0418】 An "information management device" is a computer system used for classifying, registering, and providing information. 【0419】 This invention is a system for effectively converting voice information acquired from elderly individuals into text information, and then analyzing, classifying, and providing it, thereby passing on knowledge and experience to the next generation. 【0420】 First, the server receives voice information from the elderly person. This voice information is converted into text using speech recognition software such as Google Cloud Speech-to-Text. When voice input is performed, the server formats the data appropriately to ensure clear results. This converted text information is then analyzed by the server using Python natural language processing libraries (e.g., NLTK and spaCy) to extract important keywords and topics. 【0421】 Next, the server classifies meaningful information based on the analysis results. This information is categorized according to its respective knowledge domain. A database system for managing digital information (e.g., MySQL) is used for this classification process. This classified information is registered in the electronic information infrastructure and made publicly available for user access. 【0422】 Users can access the electronic information infrastructure via a terminal and search for topics of interest. The terminal quickly retrieves relevant information based on the user's selection and displays it in an appropriate format. For example, if a user enters "Tell me about the culture of the Showa era" into the terminal, the server will provide relevant content in response to this prompt. 【0423】 Furthermore, the server receives feedback from users and uses a generative AI model to analyze it and improve future information delivery. By continuously improving information collection and classification methods based on feedback, the system can function as a more effective knowledge delivery tool. 【0424】 Through this system, the wealth of knowledge and experience possessed by the elderly will be effectively organized in a digital environment and passed on to the next generation. 【0425】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0426】 Step 1: 【0427】 The server receives voice information from elderly individuals. When voice information is input, the server records the data in an appropriate format. The received voice information is converted into text information using speech recognition software. This process analyzes the sound waveform data, identifies and matches phonemes, and generates a string of characters. The output is the converted text information. 【0428】 Step 2: 【0429】 The server analyzes the converted text information. It performs semantic and syntactic analysis on the input text information using natural language processing techniques. Specifically, it uses Python's natural language processing library to extract important keywords and topics. The output is structured data containing the identified language patterns and themes. 【0430】 Step 3: 【0431】 The server classifies the analyzed data into specific groups of information. Based on the input structured data, the server assigns the data to predetermined categories. The classified information is stored and registered using a database system. The output of this step is the classified and integrated data as a group of information. 【0432】 Step 4: 【0433】 Users log in to the electronic information infrastructure through their own devices and search for topics of interest. Based on the keywords and topics entered by the user, the device accesses relevant information. The server extracts and outputs data that matches the search criteria. This output is a search result containing relevant information and content. 【0434】 Step 5: 【0435】 The server receives feedback from users. This feedback includes user opinions and requests. The server analyzes this input and uses a generative AI model to make suggestions that will be helpful for future information provision. The output is information about improvements and changes to presentations based on the feedback. 【0436】 (Application Example 1) 【0437】 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." 【0438】 While efficiently passing on the wealth of knowledge and experience possessed by the elderly to the next generation is socially valuable, there is a problem in that this knowledge often disappears without being organized and stored, simply being passed down orally. Furthermore, there are challenges in smooth information transmission due to limited means of communication connecting the elderly with other generations. Additionally, organizing and retrieving acquired information is difficult, resulting in a situation where it cannot be immediately utilized when needed. 【0439】 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. 【0440】 In this invention, the server includes information processing means that execute a program to acquire voice information from an elderly person and convert that voice information into text information; analysis means that execute a program to analyze the converted text information and classify it into predetermined groups based on its meaning; and registration means that register the classified information on an information display device and make the information accessible to the user via an information terminal. This makes it possible for the user to systematically organize the knowledge and experience of the elderly person and to easily search and acquire it. 【0441】 "Audio information" refers to data that includes linguistic content spoken orally by elderly individuals. 【0442】 "Text information" refers to string data that is converted from audio information and represented in digital format. 【0443】 "Information processing means" refers to a device or program used to convert voice information obtained from elderly individuals into text information. 【0444】 "Analysis means" refers to a device or program for classifying converted text information into predetermined groups based on its meaning. 【0445】 "Registration means" refers to a device or program for registering classified information in an information display device so that it can be accessed by users. 【0446】 An "information display device" is a device that provides an interface for users to access, view, or search for information. 【0447】 An "information terminal" is an electronic device used by users to access and obtain classified information. 【0448】 This invention provides a system that converts voice information acquired from elderly individuals into text information, enabling effective organization and retrieval of that information. The server uses the Google Cloud Speech-to-Text API, a speech recognition software, to convert the elderly individuals' conversations into text information. The converted text information is then analyzed using natural language processing libraries such as NLTK and spaCy, and classified into predetermined groups based on meaning. Subsequently, the classified information is registered in a database system using Firebase, and users can access it through their information terminals. The display interface is built using React Native and is designed to allow users to easily search and view information. 【0449】 For example, if an elderly person talks about their post-war community, the conversation is recorded in real time and saved as text. This information is then properly categorized, so that someone interested in a particular topic can quickly find relevant information when they search for it later. 【0450】 Using a generative AI model, an example of a user-inputted prompt might be: "I'd like to learn about the post-war lives of elderly people. Please tell me what kind of information they collected and how it was categorized." 【0451】 In this way, an environment can be created in which the knowledge and experience of the elderly are effectively passed on to the next generation. 【0452】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0453】 Step 1: 【0454】 The server acquires the audio information. The smartphone's microphone collects what the elderly person is saying and sends it to the server as digital audio data. The input is the elderly person's voice itself, and the output is digital audio data. 【0455】 Step 2: 【0456】 The server converts digital audio data into text information. Using the Google Cloud Speech-to-Text API, the audio data is converted to text in real time. The input is digital audio data, and the output is text information. Speech recognition provides the conversation content as a string of characters. 【0457】 Step 3: 【0458】 The server analyzes text information. Using natural language processing tools such as NLTK and spaCy, it extracts keywords and important topics from the text information and classifies them into predetermined groups. The input is text information, and the output is classified text data. It utilizes natural language processing techniques to organize information by theme. 【0459】 Step 4: 【0460】 The server registers the classified text data into a database. Using Firebase, the data is stored in an efficient, searchable format for later reference by users. The input is classified text data, and the output is the information stored in the database. Database registration ensures the information is permanently managed. 【0461】 Step 5: 【0462】 Users access registered information using an information terminal. A React Native application provides an interface that allows users to easily search and view information. Input is the user's search request, including a prompt, and output is the search result for the relevant information. This allows users to easily acquire specific knowledge. 【0463】 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. 【0464】 An embodiment of the present invention consists of the following system operation. First, the server receives voice from an elderly person and converts it into text data in real time using speech recognition technology. This converted data is further analyzed by natural language processing to extract important keywords. The extracted information is classified into predetermined categories and registered on a digital platform. 【0465】 The inclusion of an emotion engine allows the server to analyze the emotions of elderly individuals during conversations. For example, if an elderly person is speaking excitedly, the emotion engine can identify that emotion and generate instructions to adjust the flow of the conversation. This is particularly effective when an elderly person is enthusiastically discussing local traditional events. 【0466】 Furthermore, when users access data through a digital platform, the device can recognize the user's emotional state and dynamically adjust how the information is presented. Specifically, if a user shows any frustration, the device simplifies the display and makes the key points of the information easier to understand. This results in a more beneficial learning experience, allowing users to absorb information more smoothly. 【0467】 In the feedback system, the server not only collects opinions from users but also incorporates sentiment analysis results from the sentiment engine. This allows for continuous improvement of data collection and classification methods. This process enhances the quality of the information provided and enables more effective knowledge transfer. Through this embodiment of the present invention, intergenerational communication is smoothly realized digitally. 【0468】 The following describes the processing flow. 【0469】 Step 1: 【0470】 The server receives the voice of the elderly person. The voice data is recorded digitally via a microphone. The server uses speech recognition technology to convert the voice to text in real time. The text data obtained at this stage is immediately saved for the next processing step. 【0471】 Step 2: 【0472】 The server analyzes the converted text data and uses natural language processing techniques to understand its content. It extracts the most important keywords and themes and uses them to classify the text data into specific categories. This classification process is essential to make the collected information easily usable later. 【0473】 Step 3: 【0474】 The emotion engine analyzes the emotions of elderly individuals during conversations. The server uses the information obtained from the audio to determine the emotional state of the elderly person and adjust the flow of the conversation as needed. For example, if the elderly person is agitated, the server adjusts the tone and tempo of the questions accordingly. 【0475】 Step 4: 【0476】 The server uploads the categorized data to a digital platform. Here, the data is made publicly accessible to users and organized by category. Users can select topics of interest and view them in more detail. 【0477】 Step 5: 【0478】 The device detects user access and provides information through a digital platform. The device uses an emotion engine to analyze the user's emotional state in real time and presents information in an appropriate format. For example, if the user appears confused, the device converts the explanation into an easy-to-understand format. 【0479】 Step 6: 【0480】 After users finish viewing the information, they enter feedback. This feedback is sent from the device to the server and, along with the analysis results from the emotion engine, is used to improve future data provision. This allows the server to improve the overall accuracy of the system and user satisfaction. 【0481】 (Example 2) 【0482】 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." 【0483】 In modern times, there is a need for effective and smooth methods to pass on the valuable knowledge and experience of the elderly to the next generation. However, conventional methods do not adequately reflect dialogue with the elderly, which can result in information omissions and distortions. Furthermore, it is difficult to provide information that is tailored to the emotions and level of understanding of the recipient, resulting in low efficiency of information transmission. 【0484】 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. 【0485】 In this invention, the server includes means for acquiring voice information from an elderly person and converting the voice information into text format; means for analyzing the converted text format information and classifying it based on specific concepts; means for registering the classified information in an information infrastructure and making that information accessible to other users; means for using an emotion analysis medium and adjusting the dialogue based on concepts for analyzing emotional states; and means for adjusting the information presentation based on the emotion analysis results when a user accesses it via the information infrastructure. This makes it possible to dynamically present information according to the emotional needs of users while passing on the wealth of knowledge of elderly people to the next generation without impairing it. 【0486】 "Auditory information" refers to acoustic signals, including language, acquired from elderly individuals. This information serves as a source of data, including the content of conversations and emotional states. 【0487】 "Text format" refers to the string data format obtained after audio information has been converted. This format makes it easier to analyze and store the information. 【0488】 A "medium" refers to a collection of hardware and software used to perform specific processes within a server. Specifically, it may have functions such as speech conversion, data analysis, and information registration. 【0489】 An "information infrastructure" is a digital platform that stores, manages, and provides data. It provides an environment that other users can access. 【0490】 An "emotion analysis medium" is a tool for determining emotional states from voice or text data. This includes emotion recognition algorithms and libraries. 【0491】 "Classification" is the act of categorizing converted text-based information based on specific criteria or concepts. This makes it easier to manage and search for information. 【0492】 "Information presentation" refers to the act of displaying information in a format that is easily viewable by users upon access. This includes dynamic adjustments based on the user's emotional state. 【0493】 This invention is a system for efficiently extracting, storing, and utilizing valuable knowledge from the elderly in a digital environment. The main role in this system is played by a server, which performs several important functions. 【0494】 The server first receives voice information from elderly individuals via a dedicated voice input device. A high-sensitivity microphone is used for this purpose. The received voice information is converted into text format in real time using speech recognition software. Speech recognition APIs are commonly used for this software. This process forms the first step in saving elderly individuals' conversations as digital information. 【0495】 Next, the server analyzes the converted text using natural language processing techniques. At this stage, natural language processing libraries are utilized to extract important keywords and phrases. This makes it possible to classify the obtained information into specific concepts or categories. 【0496】 The extracted information is registered in the information infrastructure. This infrastructure functions as a digital platform and serves as a database accessible to other users. The data is properly structured and easily searchable and retrievalable. 【0497】 A further feature is that the server uses an emotion analysis medium to analyze the emotions contained in the speech of elderly people. Emotion analysis incorporates emotion recognition algorithms to identify the emotional state during speech, thereby making the conversation flow more naturally. For example, if an elderly person speaks passionately about a local event, the system can sense their excitement and generate an appropriate response. 【0498】 Furthermore, when users access information through the information infrastructure, the terminal analyzes the user's emotional state in real time and dynamically adjusts the information presentation. This prevents information comprehension from being hindered and enables effective information delivery tailored to the user's emotions. If a user shows frustration, the information is presented more concisely to aid understanding. 【0499】 For example, if an elderly person says they "used to look forward to the local Bon Odori festival," the server will extract the keywords "Bon Odori" and "enjoyment" and prepare to display related event information. The goal of this entire process is to share valuable knowledge across generations. 【0500】 An example of a prompt message could be input to a generative AI model such as, "Extract keywords related to the event from what the elderly person said, analyze their emotions, and assist in the conversation." 【0501】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0502】 Step 1: 【0503】 The server receives voice information from elderly individuals via a dedicated microphone device. It acquires voice data as input and feeds this data into voice recognition software. Here, the voice data is converted into text data through real-time processing. The output is text-formatted data. Specifically, the system captures voice through a high-sensitivity microphone, saves it to a buffer, and then sends it to the recognition software. 【0504】 Step 2: 【0505】 The server analyzes the converted text data using a natural language processing engine. It takes text data as input and performs natural language processing on it. Here, a keyword extraction algorithm is used to identify important words and phrases. A keyword list is generated as output. Specifically, it calls functions from a natural language processing library to analyze the text and extract keywords such as nouns and verbs. 【0506】 Step 3: 【0507】 The server classifies the extracted keywords into specific categories. It receives a list of keywords as input and performs data classification by assigning them to predefined categories. The output is a dataset classified by category. Specifically, it uses classification rules to label keywords into categories such as "events," "health," and "hobbies." 【0508】 Step 4: 【0509】 The server registers the classified data in the information infrastructure. It uses category-based datasets as input and stores them in the digital platform's database. The output is user-accessible data. Specifically, it registers datasets via a database API and creates search indexes. 【0510】 Step 5: 【0511】 The server analyzes the emotional state of text data using an emotion analysis medium. It takes text data as input and performs data calculations to identify the emotional state by applying an emotion recognition algorithm. Emotional state labels (e.g., joy, excitement) are generated as output. Specifically, it generates instructions for dialogue progression based on the analysis results. 【0512】 Step 6: 【0513】 The terminal analyzes the user's emotional state in real time using an emotion sensor when the user accesses the information infrastructure. It acquires the user's facial expressions and voice as input and applies emotion analysis technology. As output, it generates suggested adjustments to the information presentation method. Specifically, it dynamically changes the screen display according to the user's emotional state, highlighting key points of the information. 【0514】 Step 7: 【0515】 The server collects user feedback for improvement and uses it to improve data collection and classification methods. It takes feedback information as input and analyzes this data. As output, improvement proposals are formulated. Specifically, it clusters the feedback and analyzes patterns to identify areas for system improvement. 【0516】 (Application Example 2) 【0517】 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." 【0518】 In modern society, with its declining birthrate and aging population, there is a challenge in passing on the abundant knowledge and experience of the elderly to future generations. Furthermore, there is still insufficient technology to understand the emotions of the elderly in real time and respond appropriately when communicating with them. In addition, there is a lack of systems that automatically adjust the method of information provision according to the emotional state of the user. Therefore, there is a need to solve these problems. 【0519】 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. 【0520】 In this invention, the server includes means for converting audio data for collecting knowledge and experience from elderly people into text data, means for analyzing the converted text data and classifying it into predetermined categories, means for registering the classified data on a digital platform and making it accessible to users, and means for identifying the emotional state of elderly people and dynamically adjusting the progress of the conversation or the method of providing information. This enables the smooth transfer of knowledge and experience from elderly people and the realization of appropriate communication that is in line with their emotions. 【0521】 The term "elderly" refers to people who have aged, generally those 65 years of age or older, but it also encompasses people of an age group with rich life experience and diverse knowledge. 【0522】 "Knowledge and experience" refers to information, skills, and lessons learned by an individual through past learning and real-life experiences. 【0523】 "Audio data" refers to information recorded in digital format from human voices, and is used for analyzing speech and converting it into text. 【0524】 "Text data" refers to digital information represented as a string of characters, making it suitable for processing and storing on computers. 【0525】 A "digital platform" refers to a system or service that provides an environment where information can be shared online and accessed by users. 【0526】 "Emotional state" refers to the mental state or emotional expression that an individual feels at a particular moment, and includes joy, anger, sadness, and other emotions. 【0527】 "Speech recognition" is a technology that converts speech into text format that computers can understand, and is used for automating and recording conversations. 【0528】 "Natural language processing technology" is a technology that enables computers to understand, process, and generate human language, and is used for analyzing audio data and extracting information. 【0529】 "Facilitation of a conversation" refers to the process of managing the flow and development of the content of a conversation in communication. 【0530】 "Information provision methods" refer to the techniques and means of presenting and displaying information to users, and involve methods designed to effectively convey large amounts of information. 【0531】 One embodiment of this invention is a system that supports communication with the elderly and registers their knowledge and experience on a digital platform. The server acquires the elderly person's voice in real time and converts it into text data using speech recognition technology. Speech recognition software such as the Google Speech-to-Text API is used in this process. The converted text data is analyzed using the Python NLTK library to extract important information. 【0532】 Next, the server categorizes the extracted information and registers it on a digital platform. Because this platform is accessible to users, it facilitates the sharing of knowledge and experience. In addition, an emotion engine checks the emotional state of elderly individuals in real time, allowing users to dynamically adjust the flow of the conversation. Emotion analysis tools such as Microsoft Azure's Text Analytics API are used. 【0533】 On the other hand, the device detects the user's emotional state when they access information and adjusts the display method and content accordingly. If the user shows frustration, the device optimizes the user experience by simplifying the display of information. 【0534】 A concrete example is a scenario where a device converts audio descriptions of local traditional events from elderly people into text, analyzes that data, and displays relevant information on a digital platform. In this way, the knowledge of the elderly is passed on, and communication with users is improved. 【0535】 An example of a prompt for using a generative AI model is: "Take a text input of a 72-year-old woman talking about past travels, and generate a scenario to extract important information, perform sentiment analysis, and adjust how it is displayed." 【0536】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0537】 Step 1: 【0538】 The server acquires the elderly person's voice in real time via a microphone. The voice data is input into the Google Speech-to-Text API and converted into text data. This conversion outputs the voice information in a text format that can be analyzed. 【0539】 Step 2: 【0540】 The server analyzes text data using Python's NLTK library. It analyzes the grammar and meaning of the input text data and extracts important keywords. This data processing extracts relevant information. 【0541】 Step 3: 【0542】 The server classifies the extracted keywords into predetermined categories. The text data is processed using natural language processing technology, and classification information corresponding to the categories is output. The classified information is registered on a digital platform. 【0543】 Step 4: 【0544】 The server uses the Microsoft Azure Text Analytics API to analyze the emotional state of elderly individuals. By inputting voice-to-text data and performing emotion analysis, it outputs instructions to adjust the conversation based on those emotions. 【0545】 Step 5: 【0546】 The device detects the user's emotional state through sensors and the user interface when they access the digital platform. Based on the detected emotional state, it adjusts the display method and the content of the information. Specifically, if there is input indicating frustration, the information is simplified and outputted to optimize the user experience. 【0547】 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. 【0548】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0549】 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. 【0550】 [Fourth Embodiment] 【0551】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0552】 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. 【0553】 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). 【0554】 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. 【0555】 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. 【0556】 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). 【0557】 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. 【0558】 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. 【0559】 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. 【0560】 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. 【0561】 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. 【0562】 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. 【0563】 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". 【0564】 The following system operation is an example of an embodiment of the present invention. First, the server receives voice data from the elderly person and converts it into text data in real time. This makes it possible to accurately record and save what the elderly person has said. By combining speech recognition technology and natural language processing technology, the system effectively analyzes the speech from the beginning to the conclusion and extracts important keywords and topics. 【0565】 Next, the server categorizes the analyzed text data into appropriate categories and registers it on a designed digital platform. The categorized information is visually organized for easy user access, providing an environment where users interested in specific knowledge or experiences can efficiently search for relevant information. For example, data on "post-war life" is presented to the user along with related videos and images. 【0566】 Users can access this digital platform via their devices and select topics of interest using the search function. The device then displays information related to the selected topic, such as data based on the experiences of older adults, including historical background and regional characteristics. Through this process, users can access the wealth of knowledge inherited from older adults. 【0567】 Furthermore, the server receives feedback from users and analyzes it to improve the system. For example, if a user finds certain information difficult to understand, the way that information is presented is refined, and adjustments are made to mitigate such problems in the future. 【0568】 In this way, the present invention provides a practical system for passing on the knowledge of the elderly to the next generation and for effectively utilizing digital technology. 【0569】 The following describes the processing flow. 【0570】 Step 1: 【0571】 The server receives the elderly person's voice from the input device and converts it into text data in real time using speech recognition technology. At this stage, the voice data is recorded as text information and stored for subsequent processing. 【0572】 Step 2: 【0573】 The server analyzes the converted text data and uses advanced natural language processing techniques to extract important keywords and topics. This analysis prepares the server to determine which category the data belongs to. 【0574】 Step 3: 【0575】 The server classifies the extracted text data into predetermined categories. For example, it assigns it to categories such as "history," "culture," and "technology," and records it in a systematically organized database. 【0576】 Step 4: 【0577】 The server uploads and registers the classified data on a digital platform. This prepares the system for users to access the information. 【0578】 Step 5: 【0579】 Users access a digital platform using their device and select categories of interest to obtain relevant distribution information. The device displays the selected information on its screen, allowing the user to view it. 【0580】 Step 6: 【0581】 Users provide feedback on the delivered content through the platform. This feedback concerns the usefulness and ease of understanding of the information. 【0582】 Step 7: 【0583】 The server uses the collected feedback to improve its data collection and classification methods, and incorporates these improvements into the next information transmission process. This improvement enhances the system's accuracy and user experience. 【0584】 (Example 1) 【0585】 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". 【0586】 To efficiently pass on the abundant knowledge and experience possessed by the elderly to the next generation, it is necessary to integrate diverse information sources and present them in a format that is easily accessible to users. However, current technology is not sufficiently efficient in analyzing audio data and extracting relevant information, and there is room for improvement in the classification and presentation methods of information. The present invention aims to solve these problems and provide a general-purpose information processing system that effectively utilizes the knowledge obtained from the elderly. 【0587】 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. 【0588】 In this invention, the server includes means for using an information processing device to convert voice information acquired from elderly people into text information, means for using a data processing system to analyze the converted text information and extract major language patterns, and means for using an information management device to classify the extracted information into specific information groups, register it in an electronic information infrastructure, and make it viewable by users. This makes it possible to effectively pass on the knowledge and experience of elderly people to the next generation and to make it easier for users to access information that interests them. 【0589】 "Auditory information" refers to data acquired through hearing, including what elderly people say. 【0590】 "Textual information" refers to data that is converted from speech and represented as a string of characters. 【0591】 An "information processing device" is a computing device used for collecting, transforming, and analyzing data. 【0592】 A "data processing system" is a mechanism that executes programs and algorithms to extract important linguistic patterns from textual information. 【0593】 An "information group" is a collection of related information classified according to specific criteria. 【0594】 "Electronic information infrastructure" refers to online platforms and systems for managing, storing, and providing digital information. 【0595】 An "information management device" is a computer system used for classifying, registering, and providing information. 【0596】 This invention is a system for effectively converting voice information acquired from elderly individuals into text information, and then analyzing, classifying, and providing it, thereby passing on knowledge and experience to the next generation. 【0597】 First, the server receives voice information from the elderly person. This voice information is converted into text using speech recognition software such as Google Cloud Speech-to-Text. When voice input is performed, the server formats the data appropriately to ensure clear results. This converted text information is then analyzed by the server using Python natural language processing libraries (e.g., NLTK and spaCy) to extract important keywords and topics. 【0598】 Next, the server classifies meaningful information based on the analysis results. This information is categorized according to its respective knowledge domain. A database system for managing digital information (e.g., MySQL) is used for this classification process. This classified information is registered in the electronic information infrastructure and made publicly available for user access. 【0599】 Users can access the electronic information infrastructure via a terminal and search for topics of interest. The terminal quickly retrieves relevant information based on the user's selection and displays it in an appropriate format. For example, if a user enters "Tell me about the culture of the Showa era" into the terminal, the server will provide relevant content in response to this prompt. 【0600】 Furthermore, the server receives feedback from users and uses a generative AI model to analyze it and improve future information delivery. By continuously improving information collection and classification methods based on feedback, the system can function as a more effective knowledge delivery tool. 【0601】 Through this system, the wealth of knowledge and experience possessed by the elderly will be effectively organized in a digital environment and passed on to the next generation. 【0602】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0603】 Step 1: 【0604】 The server receives voice information from elderly individuals. When voice information is input, the server records the data in an appropriate format. The received voice information is converted into text information using speech recognition software. This process analyzes the sound waveform data, identifies and matches phonemes, and generates a string of characters. The output is the converted text information. 【0605】 Step 2: 【0606】 The server analyzes the converted text information. It performs semantic and syntactic analysis on the input text information using natural language processing techniques. Specifically, it uses Python's natural language processing library to extract important keywords and topics. The output is structured data containing the identified language patterns and themes. 【0607】 Step 3: 【0608】 The server classifies the analyzed data into specific groups of information. Based on the input structured data, the server assigns the data to predetermined categories. The classified information is stored and registered using a database system. The output of this step is the classified and integrated data as a group of information. 【0609】 Step 4: 【0610】 Users log in to the electronic information infrastructure through their own devices and search for topics of interest. Based on the keywords and topics entered by the user, the device accesses relevant information. The server extracts and outputs data that matches the search criteria. This output is a search result containing relevant information and content. 【0611】 Step 5: 【0612】 The server receives feedback from users. This feedback includes user opinions and requests. The server analyzes this input and uses a generative AI model to make suggestions that will be helpful for future information provision. The output is information about improvements and changes to presentations based on the feedback. 【0613】 (Application Example 1) 【0614】 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". 【0615】 While efficiently passing on the wealth of knowledge and experience possessed by the elderly to the next generation is socially valuable, there is a problem in that this knowledge often disappears without being organized and stored, simply being passed down orally. Furthermore, there are challenges in smooth information transmission due to limited means of communication connecting the elderly with other generations. Additionally, organizing and retrieving acquired information is difficult, resulting in a situation where it cannot be immediately utilized when needed. 【0616】 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. 【0617】 In this invention, the server includes information processing means that execute a program to acquire voice information from an elderly person and convert that voice information into text information; analysis means that execute a program to analyze the converted text information and classify it into predetermined groups based on its meaning; and registration means that register the classified information on an information display device and make the information accessible to the user via an information terminal. This makes it possible for the user to systematically organize the knowledge and experience of the elderly person and to easily search and acquire it. 【0618】 "Audio information" refers to data that includes linguistic content spoken orally by elderly individuals. 【0619】 "Text information" refers to string data that is converted from audio information and represented in digital format. 【0620】 "Information processing means" refers to a device or program used to convert voice information obtained from elderly individuals into text information. 【0621】 "Analysis means" refers to a device or program for classifying converted text information into predetermined groups based on its meaning. 【0622】 "Registration means" refers to a device or program for registering classified information in an information display device so that it can be accessed by users. 【0623】 An "information display device" is a device that provides an interface for users to access, view, or search for information. 【0624】 An "information terminal" is an electronic device used by users to access and obtain classified information. 【0625】 This invention provides a system that converts voice information acquired from elderly individuals into text information, enabling effective organization and retrieval of that information. The server uses the Google Cloud Speech-to-Text API, a speech recognition software, to convert the elderly individuals' conversations into text information. The converted text information is then analyzed using natural language processing libraries such as NLTK and spaCy, and classified into predetermined groups based on meaning. Subsequently, the classified information is registered in a database system using Firebase, and users can access it through their information terminals. The display interface is built using React Native and is designed to allow users to easily search and view information. 【0626】 For example, if an elderly person talks about their post-war community, the conversation is recorded in real time and saved as text. This information is then properly categorized, so that someone interested in a particular topic can quickly find relevant information when they search for it later. 【0627】 Using a generative AI model, an example of a user-inputted prompt might be: "I'd like to learn about the post-war lives of elderly people. Please tell me what kind of information they collected and how it was categorized." 【0628】 In this way, an environment can be created in which the knowledge and experience of the elderly are effectively passed on to the next generation. 【0629】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0630】 Step 1: 【0631】 The server acquires the audio information. The smartphone's microphone collects what the elderly person is saying and sends it to the server as digital audio data. The input is the elderly person's voice itself, and the output is digital audio data. 【0632】 Step 2: 【0633】 The server converts digital audio data into text information. Using the Google Cloud Speech-to-Text API, the audio data is converted to text in real time. The input is digital audio data, and the output is text information. Speech recognition provides the conversation content as a string of characters. 【0634】 Step 3: 【0635】 The server analyzes text information. Using natural language processing tools such as NLTK and spaCy, it extracts keywords and important topics from the text information and classifies them into predetermined groups. The input is text information, and the output is classified text data. It utilizes natural language processing techniques to organize information by theme. 【0636】 Step 4: 【0637】 The server registers the classified text data into a database. Using Firebase, the data is stored in an efficient, searchable format for later reference by users. The input is classified text data, and the output is the information stored in the database. Database registration ensures the information is permanently managed. 【0638】 Step 5: 【0639】 Users access registered information using an information terminal. A React Native application provides an interface that allows users to easily search and view information. Input is the user's search request, including a prompt, and output is the search result for the relevant information. This allows users to easily acquire specific knowledge. 【0640】 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. 【0641】 An embodiment of the present invention consists of the following system operation. First, the server receives voice from an elderly person and converts it into text data in real time using speech recognition technology. This converted data is further analyzed by natural language processing to extract important keywords. The extracted information is classified into predetermined categories and registered on a digital platform. 【0642】 The inclusion of an emotion engine allows the server to analyze the emotions of elderly individuals during conversations. For example, if an elderly person is speaking excitedly, the emotion engine can identify that emotion and generate instructions to adjust the flow of the conversation. This is particularly effective when an elderly person is enthusiastically discussing local traditional events. 【0643】 Furthermore, when users access data through a digital platform, the device can recognize the user's emotional state and dynamically adjust how the information is presented. Specifically, if a user shows any frustration, the device simplifies the display and makes the key points of the information easier to understand. This results in a more beneficial learning experience, allowing users to absorb information more smoothly. 【0644】 In the feedback system, the server not only collects opinions from users but also incorporates sentiment analysis results from the sentiment engine. This allows for continuous improvement of data collection and classification methods. This process enhances the quality of the information provided and enables more effective knowledge transfer. Through this embodiment of the present invention, intergenerational communication is smoothly realized digitally. 【0645】 The following describes the processing flow. 【0646】 Step 1: 【0647】 The server receives the voice of the elderly person. The voice data is recorded digitally via a microphone. The server uses speech recognition technology to convert the voice to text in real time. The text data obtained at this stage is immediately saved for the next processing step. 【0648】 Step 2: 【0649】 The server analyzes the converted text data and uses natural language processing techniques to understand its content. It extracts the most important keywords and themes and uses them to classify the text data into specific categories. This classification process is essential to make the collected information easily usable later. 【0650】 Step 3: 【0651】 The emotion engine analyzes the emotions of elderly individuals during conversations. The server uses the information obtained from the audio to determine the emotional state of the elderly person and adjust the flow of the conversation as needed. For example, if the elderly person is agitated, the server adjusts the tone and tempo of the questions accordingly. 【0652】 Step 4: 【0653】 The server uploads the categorized data to a digital platform. Here, the data is made publicly accessible to users and organized by category. Users can select topics of interest and view them in more detail. 【0654】 Step 5: 【0655】 The device detects user access and provides information through a digital platform. The device uses an emotion engine to analyze the user's emotional state in real time and presents information in an appropriate format. For example, if the user appears confused, the device converts the explanation into an easy-to-understand format. 【0656】 Step 6: 【0657】 After users finish viewing the information, they enter feedback. This feedback is sent from the device to the server and, along with the analysis results from the emotion engine, is used to improve future data provision. This allows the server to improve the overall accuracy of the system and user satisfaction. 【0658】 (Example 2) 【0659】 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". 【0660】 In modern times, there is a need for effective and smooth methods to pass on the valuable knowledge and experience of the elderly to the next generation. However, conventional methods do not adequately reflect dialogue with the elderly, which can result in information omissions and distortions. Furthermore, it is difficult to provide information that is tailored to the emotions and level of understanding of the recipient, resulting in low efficiency of information transmission. 【0661】 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. 【0662】 In this invention, the server includes means for acquiring voice information from an elderly person and converting the voice information into text format; means for analyzing the converted text format information and classifying it based on specific concepts; means for registering the classified information in an information infrastructure and making that information accessible to other users; means for using an emotion analysis medium and adjusting the dialogue based on concepts for analyzing emotional states; and means for adjusting the information presentation based on the emotion analysis results when a user accesses it via the information infrastructure. This makes it possible to dynamically present information according to the emotional needs of users while passing on the wealth of knowledge of elderly people to the next generation without impairing it. 【0663】 "Auditory information" refers to acoustic signals, including language, acquired from elderly individuals. This information serves as a source of data, including the content of conversations and emotional states. 【0664】 "Text format" refers to the string data format obtained after audio information has been converted. This format makes it easier to analyze and store the information. 【0665】 A "medium" refers to a collection of hardware and software used to perform specific processes within a server. Specifically, it may have functions such as speech conversion, data analysis, and information registration. 【0666】 An "information infrastructure" is a digital platform that stores, manages, and provides data. It provides an environment that other users can access. 【0667】 An "emotion analysis medium" is a tool for determining emotional states from voice or text data. This includes emotion recognition algorithms and libraries. 【0668】 "Classification" is the act of categorizing converted text-based information based on specific criteria or concepts. This makes it easier to manage and search for information. 【0669】 "Information presentation" refers to the act of displaying information in a format that is easily viewable by users upon access. This includes dynamic adjustments based on the user's emotional state. 【0670】 This invention is a system for efficiently extracting, storing, and utilizing valuable knowledge from the elderly in a digital environment. The main role in this system is played by a server, which performs several important functions. 【0671】 The server first receives voice information from elderly individuals via a dedicated voice input device. A high-sensitivity microphone is used for this purpose. The received voice information is converted into text format in real time using speech recognition software. Speech recognition APIs are commonly used for this software. This process forms the first step in saving elderly individuals' conversations as digital information. 【0672】 Next, the server analyzes the converted text using natural language processing techniques. At this stage, natural language processing libraries are utilized to extract important keywords and phrases. This makes it possible to classify the obtained information into specific concepts or categories. 【0673】 The extracted information is registered in the information infrastructure. This infrastructure functions as a digital platform and serves as a database accessible to other users. The data is properly structured and easily searchable and retrievalable. 【0674】 A further feature is that the server uses an emotion analysis medium to analyze the emotions contained in the speech of elderly people. Emotion analysis incorporates emotion recognition algorithms to identify the emotional state during speech, thereby making the conversation flow more naturally. For example, if an elderly person speaks passionately about a local event, the system can sense their excitement and generate an appropriate response. 【0675】 Furthermore, when users access information through the information infrastructure, the terminal analyzes the user's emotional state in real time and dynamically adjusts the information presentation. This prevents information comprehension from being hindered and enables effective information delivery tailored to the user's emotions. If a user shows frustration, the information is presented more concisely to aid understanding. 【0676】 For example, if an elderly person says they "used to look forward to the local Bon Odori festival," the server will extract the keywords "Bon Odori" and "enjoyment" and prepare to display related event information. The goal of this entire process is to share valuable knowledge across generations. 【0677】 An example of a prompt message could be input to a generative AI model such as, "Extract keywords related to the event from what the elderly person said, analyze their emotions, and assist in the conversation." 【0678】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0679】 Step 1: 【0680】 The server receives voice information from elderly individuals via a dedicated microphone device. It acquires voice data as input and feeds this data into voice recognition software. Here, the voice data is converted into text data through real-time processing. The output is text-formatted data. Specifically, the system captures voice through a high-sensitivity microphone, saves it to a buffer, and then sends it to the recognition software. 【0681】 Step 2: 【0682】 The server analyzes the converted text data using a natural language processing engine. It takes text data as input and performs natural language processing on it. Here, a keyword extraction algorithm is used to identify important words and phrases. A keyword list is generated as output. Specifically, it calls functions from a natural language processing library to analyze the text and extract keywords such as nouns and verbs. 【0683】 Step 3: 【0684】 The server classifies the extracted keywords into specific categories. It receives a list of keywords as input and performs data classification by assigning them to predefined categories. The output is a dataset classified by category. Specifically, it uses classification rules to label keywords into categories such as "events," "health," and "hobbies." 【0685】 Step 4: 【0686】 The server registers the classified data in the information infrastructure. It uses category-based datasets as input and stores them in the digital platform's database. The output is user-accessible data. Specifically, it registers datasets via a database API and creates search indexes. 【0687】 Step 5: 【0688】 The server analyzes the emotional state of text data using an emotion analysis medium. It takes text data as input and performs data calculations to identify the emotional state by applying an emotion recognition algorithm. Emotional state labels (e.g., joy, excitement) are generated as output. Specifically, it generates instructions for dialogue progression based on the analysis results. 【0689】 Step 6: 【0690】 The terminal analyzes the user's emotional state in real time using an emotion sensor when the user accesses the information infrastructure. It acquires the user's facial expressions and voice as input and applies emotion analysis technology. As output, it generates suggested adjustments to the information presentation method. Specifically, it dynamically changes the screen display according to the user's emotional state, highlighting key points of the information. 【0691】 Step 7: 【0692】 The server collects user feedback for improvement and uses it to improve data collection and classification methods. It takes feedback information as input and analyzes this data. As output, improvement proposals are formulated. Specifically, it clusters the feedback and analyzes patterns to identify areas for system improvement. 【0693】 (Application Example 2) 【0694】 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". 【0695】 In modern society, with its declining birthrate and aging population, there is a challenge in passing on the abundant knowledge and experience of the elderly to future generations. Furthermore, there is still insufficient technology to understand the emotions of the elderly in real time and respond appropriately when communicating with them. In addition, there is a lack of systems that automatically adjust the method of information provision according to the emotional state of the user. Therefore, there is a need to solve these problems. 【0696】 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. 【0697】 In this invention, the server includes means for converting audio data for collecting knowledge and experience from elderly people into text data, means for analyzing the converted text data and classifying it into predetermined categories, means for registering the classified data on a digital platform and making it accessible to users, and means for identifying the emotional state of elderly people and dynamically adjusting the progress of the conversation or the method of providing information. This enables the smooth transfer of knowledge and experience from elderly people and the realization of appropriate communication that is in line with their emotions. 【0698】 The term "elderly" refers to people who have aged, generally those 65 years of age or older, but it also encompasses people of an age group with rich life experience and diverse knowledge. 【0699】 "Knowledge and experience" refers to information, skills, and lessons learned by an individual through past learning and real-life experiences. 【0700】 "Audio data" refers to information recorded in digital format from human voices, and is used for analyzing speech and converting it into text. 【0701】 "Text data" refers to digital information represented as a string of characters, making it suitable for processing and storing on computers. 【0702】 A "digital platform" refers to a system or service that provides an environment where information can be shared online and accessed by users. 【0703】 "Emotional state" refers to the mental state or emotional expression that an individual feels at a particular moment, and includes joy, anger, sadness, and other emotions. 【0704】 "Speech recognition" is a technology that converts speech into text format that computers can understand, and is used for automating and recording conversations. 【0705】 "Natural language processing technology" is a technology that enables computers to understand, process, and generate human language, and is used for analyzing audio data and extracting information. 【0706】 "Facilitation of a conversation" refers to the process of managing the flow and development of the content of a conversation in communication. 【0707】 "Information provision methods" refer to the techniques and means of presenting and displaying information to users, and involve methods designed to effectively convey large amounts of information. 【0708】 One embodiment of this invention is a system that supports communication with the elderly and registers their knowledge and experience on a digital platform. The server acquires the elderly person's voice in real time and converts it into text data using speech recognition technology. Speech recognition software such as the Google Speech-to-Text API is used in this process. The converted text data is analyzed using the Python NLTK library to extract important information. 【0709】 Next, the server categorizes the extracted information and registers it on a digital platform. Because this platform is accessible to users, it facilitates the sharing of knowledge and experience. In addition, an emotion engine checks the emotional state of elderly individuals in real time, allowing users to dynamically adjust the flow of the conversation. Emotion analysis tools such as Microsoft Azure's Text Analytics API are used. 【0710】 On the other hand, the device detects the user's emotional state when they access information and adjusts the display method and content accordingly. If the user shows frustration, the device optimizes the user experience by simplifying the display of information. 【0711】 A concrete example is a scenario where a device converts audio descriptions of local traditional events from elderly people into text, analyzes that data, and displays relevant information on a digital platform. In this way, the knowledge of the elderly is passed on, and communication with users is improved. 【0712】 An example of a prompt for using a generative AI model is: "Take a text input of a 72-year-old woman talking about past travels, and generate a scenario to extract important information, perform sentiment analysis, and adjust how it is displayed." 【0713】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0714】 Step 1: 【0715】 The server acquires the elderly person's voice in real time via a microphone. The voice data is input into the Google Speech-to-Text API and converted into text data. This conversion outputs the voice information in a text format that can be analyzed. 【0716】 Step 2: 【0717】 The server analyzes text data using Python's NLTK library. It analyzes the grammar and meaning of the input text data and extracts important keywords. This data processing extracts relevant information. 【0718】 Step 3: 【0719】 The server classifies the extracted keywords into predetermined categories. The text data is processed using natural language processing technology, and classification information corresponding to the categories is output. The classified information is registered on a digital platform. 【0720】 Step 4: 【0721】 The server uses the Microsoft Azure Text Analytics API to analyze the emotional state of elderly individuals. By inputting voice-to-text data and performing emotion analysis, it outputs instructions to adjust the conversation based on those emotions. 【0722】 Step 5: 【0723】 The device detects the user's emotional state through sensors and the user interface when they access the digital platform. Based on the detected emotional state, it adjusts the display method and the content of the information. Specifically, if there is input indicating frustration, the information is simplified and outputted to optimize the user experience. 【0724】 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. 【0725】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0726】 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. 【0727】 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. 【0728】 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. 【0729】 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. 【0730】 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. 【0731】 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. 【0732】 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." 【0733】 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. 【0734】 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. 【0735】 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. 【0736】 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. 【0737】 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. 【0738】 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. 【0739】 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. 【0740】 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. 【0741】 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. 【0742】 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. 【0743】 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. 【0744】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0745】 The following is further disclosed regarding the embodiments described above. 【0746】 (Claim 1) 【0747】 A primary means of executing a program that converts audio data into text data for collecting knowledge and experience from the elderly, 【0748】 A second means of executing a program that analyzes the converted text data and classifies it into predetermined categories, 【0749】 A third method for registering classified data on a digital platform and making it accessible to users, 【0750】 A system that includes this. 【0751】 (Claim 2) 【0752】 The system according to claim 1, further comprising a fourth means for obtaining additional information from elderly individuals using speech recognition and natural language processing technologies based on collected data. 【0753】 (Claim 3) 【0754】 The system according to claim 1, further comprising a fifth means for executing a program to improve collection and classification methods based on user feedback. 【0755】 "Example 1" 【0756】 (Claim 1) 【0757】 The first method involves using an information processing device that converts voice information obtained from elderly people into text information, 【0758】 A second method involves using a data processing system to analyze the converted character information and extract key language patterns, 【0759】 A third method involves using an information management device that classifies the extracted information into specific information groups, registers it in an electronic information infrastructure, and makes it accessible to users. 【0760】 A fourth method involves using a search device to allow users to select knowledge of interest and provide related visual information, 【0761】 A system that includes this. 【0762】 (Claim 2) 【0763】 The system according to claim 1, further comprising processing means for integrating auditory information analysis technology and language analysis technology to obtain further information from elderly persons based on the analyzed information. 【0764】 (Claim 3) 【0765】 The system according to claim 1, comprising a computational means for improving information gathering and classification techniques based on user feedback. 【0766】 "Application Example 1" 【0767】 (Claim 1) 【0768】 An information processing means that acquires voice information from an elderly person and executes a program that converts that voice information into text information, 【0769】 An analysis means that executes a program that analyzes converted text information and classifies it into predetermined groups based on its meaning, 【0770】 A registration means that registers classified information in an information display device and allows users to access the information via an information terminal, 【0771】 A system that includes this. 【0772】 (Claim 2) 【0773】 The system according to claim 1, comprising information acquisition means for acquiring additional knowledge from elderly persons using speech recognition and natural language processing technology based on collected information. 【0774】 (Claim 3) 【0775】 The system according to claim 1, further comprising an improvement means for executing a program that improves the collection and classification method based on user evaluations. 【0776】 "Example 2 of combining an emotion engine" 【0777】 (Claim 1) 【0778】 A means including a medium for acquiring voice information from an elderly person and converting said voice information into text format, 【0779】 Means including a medium for analyzing converted text format information and classifying it based on a specific concept, 【0780】 A means including a medium for registering classified information in an information infrastructure and making that information accessible to other users, 【0781】 A means including a medium for adjusting dialogue based on concepts for analyzing emotional states, using an emotion analysis medium, 【0782】 Means including a medium for adjusting the presentation of information based on sentiment analysis results when a user accesses it via an information infrastructure, 【0783】 A system that includes this. 【0784】 (Claim 2) 【0785】 The system according to claim 1, comprising means for acquiring additional knowledge from an elderly person based on an analyzed emotional state. 【0786】 (Claim 3) 【0787】 The system according to claim 1, comprising means including a medium for improving information collection and classification methods based on user evaluations. 【0788】 "Application example 2 when combining with an emotional engine" 【0789】 (Claim 1) 【0790】 A means of converting audio data into text data for collecting knowledge and experience from the elderly, 【0791】 A means for analyzing the converted text data and classifying it into predetermined categories, 【0792】 A means of registering classified data on a digital platform and making it accessible to users, 【0793】 A means for identifying the emotional state of elderly people and dynamically adjusting the flow of dialogue or the method of providing information, 【0794】 A system that includes this. 【0795】 (Claim 2) 【0796】 The system according to claim 1, further comprising means for obtaining additional information from elderly persons using speech recognition and natural language processing technologies based on collected data. 【0797】 (Claim 3) 【0798】 The system according to claim 1, comprising means for executing a program that improves collection and classification methods based on user feedback, and means for continuously refining data analysis results based on emotional states. [Explanation of Symbols] 【0799】 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 primary means of executing a program that converts audio data into text data for collecting knowledge and experience from the elderly, A second means of executing a program that analyzes the converted text data and classifies it into predetermined categories, A third method for registering classified data on a digital platform and making it accessible to users, A system that includes this. [Claim 2] The system according to claim 1, further comprising a fourth means for obtaining additional information from elderly individuals using speech recognition and natural language processing technologies based on collected data. [Claim 3] The system according to claim 1, further comprising a fifth means for executing a program to improve collection and classification methods based on user feedback.

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