system

Abstract

We provide the system. [Solution] A speech recognition means that receives voice input from a user via a telephone terminal and converts said voice input into text data, A data analysis means that analyzes the text data and selects a corresponding service provider from a predefined database, A communication means for notifying the selected service provider of the user's request and coordinating the provision of the service, A notification method for informing users of the details of the service provided, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 It is an object to provide an environment in which elderly people and users unfamiliar with technology can quickly and easily solve problems in daily life without performing complicated operations on smartphones or digital devices. In addition, in the conventional telephone service, there is a problem that users can obtain only limited information and cannot connect to a specific service. For this reason, there is a demand to provide a system that enables users to accurately receive necessary support using a familiar interface such as a home telephone. Furthermore, it is also important to establish a mechanism that can be used safely as a crime prevention measure. 【Means for Solving the Problems】 【0005】 The present invention includes a speech recognition means that receives voice input from a user via a telephone terminal and converts the voice into text data. It also includes a data analysis means that analyzes this text data and selects a service provider from a database that corresponds to the user's request. Furthermore, it includes a communication means that notifies the selected service provider of the request using email or SMS and coordinates the provision of services. Finally, it uses a notification means that notifies the user of the planned service provision, enabling safe and effective problem resolution throughout the entire system. In this way, it realizes a mechanism that can quickly provide the necessary support without relying on the user's technical knowledge. 【0006】 A "telephone terminal" is a device used for voice communication and serves as an interface for users to transmit voice input to a system. 【0007】 "Voice recognition means" refers to a technology or device that converts voice input from a user into text data, and is used to process voice information in a digital format. 【0008】 "Text data" refers to data expressed as character information, converted by speech recognition technology, and used for data analysis. 【0009】 "Data analysis means" refers to a technology or device that has the function of performing analysis using text data and selecting a corresponding service provider. 【0010】 A "service provider" is an individual or company selected to meet the needs of users and to actually provide the services. 【0011】 "Communication means" refers to technology or equipment that has the function of electronically notifying the selected service provider of the user's requests and coordinating the provision of services. 【0012】 "Email" is a means of sending textual information to a remote recipient using an electronic communication system. 【0013】 SMS is a service for sending and receiving short text messages between mobile communication devices, and is used as part of a communication method. 【0014】 "Notification means" refers to technology or devices that have the function of informing users of the details of service provision and are used to ensure communication with users. [Brief explanation of the drawing] 【0015】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the 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 the emotion engine is combined. 【Mode for Carrying Out the Invention】 【0016】 Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0017】 First, the language used in the following description will be explained. 【0018】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0019】 [[ID=ID=25]]In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0020】 In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes. 【0021】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0022】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0023】 [First Embodiment] 【0024】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0025】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0026】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0027】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0028】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0029】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0030】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0031】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0032】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0033】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0034】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0035】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0036】 This invention provides an effective method for solving problems that users face in their daily lives, using a system that includes a telephone terminal and a server. 【0037】 The telephone terminal receives voice input from the user and transfers the voice data to the server. Terminals equipped with voice recognition technology convert the received voice into text data in real time. This text data is used as basic information to accurately identify the service requested by the user. 【0038】 The server receives text data generated by speech recognition and refers to a database to identify a service provider that can respond to the user's request. The database contains information on registered service providers in the town, and the server has the ability to select the most appropriate provider based on geographical distance and service availability. 【0039】 For example, if a user requests a light bulb replacement, the server searches its database for a suitable electrician, and coordinates an available time for their visit along with their contact information. Through communication channels, the server sends a notification via email or SMS to the selected service provider to ensure the necessary service is provided. 【0040】 Users receive notifications regarding the progress of problem resolution and information about the selected service provider. These notifications include scheduled visit times and work details, allowing users to adjust their schedules accordingly. 【0041】 The invention will enable users to solve everyday problems with just a phone call, without requiring advanced technical knowledge. This system will be particularly useful for the elderly and users unfamiliar with technology, contributing to improved safety and convenience in local communities. 【0042】 The following describes the processing flow. 【0043】 Step 1: 【0044】 The user makes a call to the "Connecting Future Services" using their phone. Following the voice guidance, the user enters the problem they want to solve by voice. 【0045】 Step 2: 【0046】 The terminal receives voice input from the user and converts it into text data in real time through a speech recognition system. The converted text data is then sent to the server. 【0047】 Step 3: 【0048】 The server parses the received text data and consults its internal database to find the optimal service provider to meet the user's request. This process takes into account the type of service and geographical location. 【0049】 Step 4: 【0050】 The server notifies the selected service provider of the user's request via email or SMS. This notification includes details of the work to be done and user information. 【0051】 Step 5: 【0052】 The server waits for a response from the service provider and coordinates details such as available visit times. In some cases, the server may contact the service provider directly by phone. 【0053】 Step 6: 【0054】 Based on information from the service provider, the server notifies the user of the specific support needed and the scheduled visit time. This notification is delivered via voice message or text message. 【0055】 Step 7: 【0056】 Users receive notifications from the server and adjust their schedules based on that information. They can also inquire again for confirmation if necessary. 【0057】 (Example 1) 【0058】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0059】 In modern society, it is crucial to quickly and efficiently resolve the various problems users face in their daily lives. However, for people unfamiliar with technology and the elderly, finding a suitable service provider can be difficult and stressful. Furthermore, making requests without considering geographical conditions or the availability of service providers can lead to wasted time and effort. Therefore, there is a need for an efficient system that quickly selects and notifies the user of the optimal provider based on voice input. 【0060】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0061】 In this invention, the server includes a speech recognition means that receives voice input from a user via a telephone terminal and converts it into text data; a data retrieval means that analyzes the text data and selects a service provider by referring to a predefined database; and a communication means that selects and notifies the user of the optimal provider based on geographical distance and service availability. This enables the user to quickly find a service provider through voice input and solve problems efficiently. 【0062】 A "telephone terminal" is an information processing device that receives voice input from a user and transmits it to a server. 【0063】 "Speech recognition means" refers to technology that converts speech data into text data in real time. 【0064】 "Text data" refers to data that has been converted by speech recognition technology and expressed as character information. 【0065】 A "data retrieval method" is a process that analyzes text data and extracts information that meets certain criteria from a predefined database. 【0066】 A "database" is a digital information aggregation system that stores information about service providers. 【0067】 A "service provider" is an entity that provides registered services in order to meet the needs of users. 【0068】 "Communication method" refers to the function of transferring information selected by the server to the service provider and the user in an appropriate manner. 【0069】 "Information provision means" refers to the process of notifying users of the progress of problem resolution and detailed information about the service provider. 【0070】 A "short message service" is a communication method for sending short string messages through a communication device. 【0071】 "Past inquiry history" refers to data that records the content of inquiries that users have made in the past. 【0072】 This invention is a system that efficiently solves users' everyday problems by combining speech recognition technology and database search technology. The core components of the system are a telephone terminal and a server. 【0073】 The user uses a telephone terminal for voice input. This telephone terminal is equipped with advanced speech recognition software that converts the user's voice into text data in real time. In this process, for example, widely available speech recognition software can be applied. The converted text data is transmitted to a server via a communication network. 【0074】 The server searches a pre-configured database for a suitable service provider based on the received text data. Here, it selects the optimal provider by considering factors such as geographical distance and service availability. The database contains detailed information on various service providers, and the server uses a search algorithm to quickly extract the relevant information. 【0075】 The server notifies selected service providers of the user's request via email or short message service. This allows service providers to quickly understand the request and begin responding. 【0076】 Users will be notified of information and progress regarding the selected service provider. This includes details such as the scheduled visit time and work content, allowing users to respond according to their own schedule. 【0077】 As a concrete example, consider a case where a user requests, "I've lost my keys, please find a locksmith." The user's voice input is converted into text data on the terminal, and the server searches a database for a suitable locksmith. The server sends a short message to the selected locksmith, and based on its content, the server arranges for the locksmith to visit the user's address. The user is notified of the locksmith's scheduled visit time, enabling them to resolve the problem efficiently. 【0078】 This system is particularly useful for people unfamiliar with technology and the elderly, and helps significantly reduce inconveniences in daily life. It aims to streamline real-world service delivery without relying on generative AI models. 【0079】 An example of a prompt would be, "My garden trees need trimming. Please find a suitable gardener and schedule an appointment." This prompt allows the system to quickly find a gardener who can provide the appropriate service based on the voice command. 【0080】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0081】 Step 1: 【0082】 Terminal operation: The user inputs a service request by voice into the phone terminal. The input voice is converted into digital audio data by the microphone in the terminal. For example, if the user says, "I've lost my keys, please find a locksmith," that voice will be recorded. 【0083】 Step 2: 【0084】 Terminal operation: The terminal uses speech recognition technology to convert digital speech data into text data. Specifically, speech recognition software analyzes the speech waveform and generates text data of corresponding words and sentences. As a result, text such as "I've lost my keys, please find a locksmith" is generated. 【0085】 Step 3: 【0086】 Terminal operation: Text data converted from speech is sent to the server via the communication network. At this point, the input is the converted text data, and the output is the text data that arrives at the server. 【0087】 Step 4: 【0088】 Server operation: The server parses the received text data and searches the database based on its content. The input is text data, and the output is a list of relevant service providers. For example, it would list registered businesses related to "locksmiths". 【0089】 Step 5: 【0090】 Server Operation: The server selects the optimal service provider by considering geographical distance and service availability. This process processes location information and schedule data for each item in the database and outputs providers that meet the criteria. 【0091】 Step 6: 【0092】 Server Operation: The server notifies selected service providers via email or short message service. The notification includes the user's location and request details, which are output as part of the notification. 【0093】 Step 7: 【0094】 User Feedback: The server notifies the user of the progress of problem resolution and information about the selected service provider. The input is information about the selected provider, and the output provides the user with detailed information such as the scheduled visit time. This allows the user to adjust their schedule accordingly. 【0095】 (Application Example 1) 【0096】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0097】 There is a need for a system that allows elderly people and users unfamiliar with technology to easily request services such as daily care using only voice commands, and to receive those services quickly and smoothly from the most suitable provider. However, conventional technology has not been able to adequately achieve this. 【0098】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0099】 In this invention, the server includes a voice recognition means that receives voice input from a user via a telephone terminal and converts the voice input into text data; a data analysis means that analyzes the text data and selects a corresponding provider from a predefined set of information; and a smart device means that includes a function in which the user requests care services by voice input using a smart device and the nearest provider is selected. This makes it possible for elderly people and users unfamiliar with technology to easily request the care services they need. 【0100】 A "telephone terminal" is a device used by users for voice input and is responsible for collecting voice data and transmitting it to a server. 【0101】 "Voice recognition means" refers to a function equipped with technology that converts voice input received via a telephone terminal into text data in real time. 【0102】 "Data analysis means" refers to a function that performs analytical processing based on text data to select the most suitable vendor from a predefined set of information. 【0103】 "Communication means" refers to functions that include communication technology for notifying selected service providers of the user's requests and coordinating the provision of services. 【0104】 "Notification means" refers to methods used to inform users of the details of service provision, and is a means of conveying information to users. 【0105】 "Smart device means" refers to a function that allows users to use devices such as smartphones and tablets to perform voice input and request care services. 【0106】 "Provider" refers to a business or professional that actually provides a service, as identified based on the user's request. 【0107】 The system for realizing this invention utilizes a telephone terminal, a server, and a smart device. The user provides voice input via the telephone terminal or smart device. Speech recognition is performed using speech recognition software such as Google® Cloud Speech-to-Text, which converts the speech into text data in real time. This text data is then transmitted to the server. 【0108】 The server performs data analysis based on the received text data and selects the most suitable vendor by referring to a database such as PostgreSQL. Vendor information includes geographical location, service availability, and past ratings. If necessary, past usage history is utilized to optimize the service delivery method. 【0109】 Using Firebase as the communication method, user requests are notified to selected vendors via email or SMS. This enables quick and smooth service coordination with vendors. 【0110】 Users are notified of service details using Firebase. This includes the scheduled visit time and services provided by the service provider, allowing users to prepare smoothly for receiving the service. For example, if a user requests "I need care services tomorrow morning" via voice, the system will select the most suitable service provider and schedule a visit time. 【0111】 An example of input to the generating AI model is the prompt, "Please describe in detail the system of an application that allows elderly people to request care services by voice using their smartphones." Using this prompt, the AI ​​model can generate a detailed description of the specific system's functions and flow. 【0112】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0113】 Step 1: 【0114】 The user uses a phone or smart device to input voice information. The input consists of the user's request (e.g., "I need care services tomorrow morning"). The device collects this voice data. 【0115】 Step 2: 【0116】 The device converts the collected audio data into text data using speech recognition software such as Google Cloud Speech-to-Text. The input is audio data, and the output is text data. This process converts the user's intent into a format that can be understood by a machine. 【0117】 Step 3: 【0118】 The server receives text data sent from the terminal, consults a database such as PostgreSQL, and selects the most suitable provider. The input is text data describing the user's request, and the output is information about the selected provider. The server queries the database and determines a provider considering geographical conditions and past usage history. 【0119】 Step 4: 【0120】 The server sends notifications to selected vendors via email or SMS using Firebase. Inputs include vendor information and user request details, while output is a notification message. This notification allows vendors to immediately understand the user request and begin preparing to respond. 【0121】 Step 5: 【0122】 The user receives detailed service information from the server. For example, they are notified of the visit time and work content. Input is confirmation information from the service provider, and output is a visit schedule notification to the user. Based on this information, the user can adjust their schedule to ensure they receive the service smoothly. 【0123】 This process makes it easy for elderly people and users unfamiliar with technology to request care services, choose the most suitable provider, and receive services smoothly. 【0124】 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. 【0125】 This invention provides a system that receives voice input from a user via a telephone terminal and analyzes the voice data. This system integrates voice recognition means, data analysis means, and an emotion engine. 【0126】 When a user requests problem resolution from a phone terminal, the terminal uses speech recognition to convert the voice data into text data. This text data serves as the analytical foundation for the entire system. The terminal further analyzes the user's emotions from their voice using an emotion engine. The emotion engine analyzes the tone, tempo, stress patterns, etc., of the voice to evaluate the user's emotional state. 【0127】 The server considers the emotional data obtained by the emotion engine and uses data analysis tools to select the most suitable service provider for the request. The emotional data helps identify the user's needs, such as how urgent they are or whether they are seeking reassurance. The emotional data is also reflected in notifications to service providers, allowing them to respond in a way that is sensitive to the user's emotions. 【0128】 For example, when a user requests an urgent repair via voice, if the emotion engine detects a high stress level, the server will prioritize selecting and notify a provider capable of handling the emergency. This notification will also include information indicating the user's anxiety, allowing the provider to respond accordingly. 【0129】 In this way, users can communicate their problems in detail through the intuitive method of voice, and by utilizing the emotion engine, they can receive more appropriate and prompt service. This system is user-friendly for the elderly and those unfamiliar with technology, creating a safe and secure environment. 【0130】 The following describes the processing flow. 【0131】 Step 1: 【0132】 The user accesses the system via a telephone terminal and inputs the problem they want to solve using voice. The telephone terminal connects to the system using the user's standard voice communication. 【0133】 Step 2: 【0134】 The terminal converts the received audio data into text data using speech recognition technology. This conversion process is performed in real time, allowing the user to proceed immediately. 【0135】 Step 3: 【0136】 The device transfers the converted text data to the emotion engine. The emotion engine analyzes the voice patterns to evaluate the user's emotional state and outputs this as emotion data. 【0137】 Step 4: 【0138】 The server receives text and sentiment data and uses data analysis to identify the appropriate service provider to meet the user's request. The server optimizes response priorities by taking sentiment data into consideration. 【0139】 Step 5: 【0140】 The server sends a notification to the selected service provider via email or SMS containing the user's request details and sentiment data. This allows the provider to prepare a response that is appropriate to the user's sentiment. 【0141】 Step 6: 【0142】 The server will notify the user of the selected service provider's information and the scheduled visit time. This notification will be made via voice or text message. 【0143】 Step 7: 【0144】 Users receive notifications and prepare for their scheduled visit. They can also fine-tune service delivery by responding to the communication as needed. 【0145】 (Example 2) 【0146】 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 as the "terminal". 【0147】 Conventional systems simply convert voice input into text data, selecting service providers without considering the user's emotions or urgency, which can lead to an inability to adequately address user needs. Furthermore, the lack of emotional consideration can result in user dissatisfaction. This system aims to solve these problems. 【0148】 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. 【0149】 In this invention, the server includes speech recognition means for converting speech into text data, emotion analysis means for evaluating the user's emotions, and data analysis means for selecting the optimal service provider based on the emotion data and text data. This enables the provision of more appropriate and prompt services that take into account the user's emotions and urgency. 【0150】 A "telephone terminal" is a communication device that receives voice input and transmits it to a system. 【0151】 "Voice input" refers to voice information that a user emits via a telephone terminal. 【0152】 "Text data" refers to the conversion of voice input into written information. 【0153】 "Speech recognition means" refers to technologies and devices that convert speech input into text data. 【0154】 "Emotional analysis methods" refer to technologies and devices that evaluate a user's emotional state from text data or audio data. 【0155】 "Emotional data" refers to information about a user's emotional state obtained through emotion analysis methods. 【0156】 "Data analysis means" refers to technologies and devices that select the optimal service provider based on text data and sentiment data. 【0157】 A "service provider" is a business or organization that provides services to users. 【0158】 "Communication means" refers to methods and technologies for notifying a selected service provider of the user's requests and emotional state. 【0159】 "Notification means" refers to functions or devices used to communicate details of service provision to users. 【0160】 This invention relates to a system that provides more appropriate and timely services by receiving voice input from users using a telephone terminal and analyzing that information. The terminal uses a technology that converts voice to text data as a voice recognition means. The technology envisioned here is an existing voice recognition API. The converted text data functions as the foundation of the entire system and forms the basis for subsequent processing. 【0161】 Next, the device uses emotion analysis tools to evaluate the user's emotions from their text data. This emotion analysis utilizes machine learning models to analyze voice tone, tempo, and stress patterns. Specifically, existing emotion analysis APIs are used. This analysis allows the device to determine how hurried the user is, or what emotions they are experiencing. 【0162】 The analyzed data is sent to the server and used as foundational data for selecting a service provider. The server uses data analysis tools to select the optimal service provider based on text data and sentiment data. Here, the server selects the provider best suited to the user's situation from a predefined set of information to meet the user's needs. In doing so, the selected provider is notified of the request and the user's emotional state, and considerations are taken into account to meet the user's expectations. 【0163】 For example, if a user requests an urgent repair using a telephone terminal, the terminal receives the user's voice, and if the emotion analysis system detects a high stress level, the server can prioritize selecting a provider capable of handling the emergency and send a notification urging a prompt response. 【0164】 An example of a prompt to input into a generative AI model would be, "Please describe the steps to build a system that analyzes voice input from a user and selects the optimal service provider based on sentiment data." This prompt allows the system to efficiently respond to the user's intuitive needs. 【0165】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0166】 Step 1: 【0167】 The device receives voice input from the user. The input is voice information spoken by the user through the device. This voice input is captured by a high-performance microphone, and clear audio data is ensured using noise cancellation technology. The output is the original audio data. 【0168】 Step 2: 【0169】 The device converts the received audio data into text data using speech recognition. The input is the audio data obtained in step 1. A calculation process is performed to convert the audio to text using a speech recognition API. The output is text data representing the content. 【0170】 Step 3: 【0171】 The device uses emotion analysis to evaluate the user's emotional state from text data. The input is the text data obtained in step 2. Using an emotion analysis API, it evaluates the tone, tempo, stress patterns, etc. of the voice to identify the emotional state. The output is emotion data indicating the user's emotional state. 【0172】 Step 4: 【0173】 The terminal sends text data and sentiment data to the server. The input is the text data obtained in step 2 and the sentiment data obtained in step 3. These data are combined to generate a query, which is then sent to the server. The output is the query data sent to the server. 【0174】 Step 5: 【0175】 The server uses data analysis tools to select the optimal service provider based on the query data it receives. The input is the query data sent in step 4. In this process, providers are searched from the database, and the best selection is made according to the user's needs. The output is the information of the selected service provider. 【0176】 Step 6: 【0177】 The server notifies the selected service provider of the user's request and emotional state. The input is the service provider information and emotional data obtained in step 5. The information is transmitted to the provider via electronic communication using the notification method. The output is the notification data received by the provider. 【0178】 Step 7: 【0179】 The terminal notifies the user of details regarding service provision from the provider. The input is the service provision details received from the server. The information is displayed or audibly communicated to the user, informing them of the service provision details. The output is the detailed service provision information received by the user. 【0180】 (Application Example 2) 【0181】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0182】 In an aging society, care facilities and caregivers are required to quickly understand the emotional state of residents and respond appropriately. However, conventional systems have made it difficult to accurately assess residents' emotions and provide prompt and accurate services based on those assessments. This need is particularly evident in situations where emotionally responsive care is required. 【0183】 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. 【0184】 In this invention, the server includes: speech recognition means that receive voice input from a user via a telephone device and convert the voice input into text data; emotion analysis means that analyze the text data and evaluate the user's emotions; and data analysis means that, taking into account the emotion data obtained by the emotion analysis means, select a corresponding service provider from a predefined set of information. This makes it possible to provide optimal services according to the user's emotional state. 【0185】 A "telephone device" is a communication device used to receive voice input from users. 【0186】 "Speech recognition means" refers to technology that converts speech input into text data. 【0187】 "Text data" refers to data in text format that has been converted from voice input. 【0188】 "Emotion analysis methods" are technologies that evaluate a user's emotions based on text data. 【0189】 "Emotional data" refers to information about a user's emotions obtained through emotion analysis methods. 【0190】 An "information set" is a predefined database or list used to manage service providers. 【0191】 A "service provider" is an individual or organization that provides services in response to the user's request. 【0192】 "Data analysis means" refers to a technology that uses text data and sentiment data to select the most suitable service provider. 【0193】 The server receives voice input from the user via a telephone device. The voice input is converted into text data using speech recognition technology. This process utilizes communication equipment with speech recognition software installed. Existing technologies, such as the Google Speech Recognition API, can be used for speech recognition. 【0194】 Text data is sent to an emotion analysis system, where the user's emotions are evaluated. Emotion analysis considers factors such as voice tone, tempo, and stress patterns, enabling the detection of various emotional states. Software equipped with an emotion analysis engine is used for emotion analysis. The software achieves high accuracy by implementing emotion detection algorithms, for example, utilizing natural language processing technology. 【0195】 The collected emotional data is processed by the server using data analysis tools. The server considers the emotional data and selects the most suitable service provider from a predefined set of information. This enables the rapid and appropriate provision of services based on the user's level of urgency. 【0196】 The communication method transmits the user's requests and emotional state to the selected service provider. Electronic messages and short message services (SMS) can be used for this purpose. In this way, the service provider can understand the user's emotional state and respond flexibly based on that understanding. 【0197】 As a concrete example, if a resident in a nursing home expresses, "I'm feeling a little unwell," via voice, this system will detect a low volume or high stress level and notify the assigned caregiver. This notification includes a summary of the resident's emotional state and statement, enabling a quick and appropriate response. This allows for effective care even in unforeseen circumstances. 【0198】 An example of a prompt message could be, "Generate code for an application that analyzes the user's current emotions and sends a notification to care staff." This would enable the provision of more sophisticated services by utilizing a generative AI model. 【0199】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0200】 Step 1: 【0201】 The server receives voice input from the user via a telephone device. The input is in the form of an audio file, which is then sent to the speech recognition system. Once the audio file has been received, the data is ready to proceed to the next processing step. 【0202】 Step 2: 【0203】 The server uses speech recognition to convert voice input into text data. Specifically, it analyzes the speech and converts it into a corresponding text format. The input is voice data, and the output is text data. This text data is sent to a data analysis system, which is then ready for sentiment analysis. 【0204】 Step 3: 【0205】 A data analysis tool receives text data, and an emotion analysis tool evaluates the user's emotions. The input is text data, and the output is emotion data. Emotion analysis is performed based on the tone, tempo, and content of the voice, and as a result, emotions can be identified. This result is used to select the most suitable service provider. 【0206】 Step 4: 【0207】 The server selects the optimal service provider using data analysis tools, taking sentiment data into consideration. The input consists of sentiment data and a predefined set of information, while the output is information about the selected service provider. The selection is performed to ensure rapid and appropriate service delivery. This information is then sent to the next communication device. 【0208】 Step 5: 【0209】 The terminal uses communication methods to transmit the user's requests and emotional state to the selected service provider. Specifically, notifications are sent via electronic message or short message service (SMS). Inputs include information about the selected service provider and the user's requests and emotional data, while output is the notification content. This allows the service provider to respond appropriately to the user's situation. 【0210】 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. 【0211】 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. 【0212】 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. 【0213】 [Second Embodiment] 【0214】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0215】 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. 【0216】 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). 【0217】 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. 【0218】 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. 【0219】 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). 【0220】 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. 【0221】 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. 【0222】 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. 【0223】 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. 【0224】 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. 【0225】 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". 【0226】 This invention provides an effective method for solving problems that users face in their daily lives, using a system that includes a telephone terminal and a server. 【0227】 The telephone terminal receives voice input from the user and transfers the voice data to the server. Terminals equipped with voice recognition technology convert the received voice into text data in real time. This text data is used as basic information to accurately identify the service requested by the user. 【0228】 The server receives text data generated by speech recognition and refers to a database to identify a service provider that can respond to the user's request. The database contains information on registered service providers in the town, and the server has the ability to select the most appropriate provider based on geographical distance and service availability. 【0229】 For example, if a user requests a light bulb replacement, the server searches its database for a suitable electrician, and coordinates an available time for their visit along with their contact information. Through communication channels, the server sends a notification via email or SMS to the selected service provider to ensure the necessary service is provided. 【0230】 Users receive notifications regarding the progress of problem resolution and information about the selected service provider. These notifications include scheduled visit times and work details, allowing users to adjust their schedules accordingly. 【0231】 The invention will enable users to solve everyday problems with just a phone call, without requiring advanced technical knowledge. This system will be particularly useful for the elderly and users unfamiliar with technology, contributing to improved safety and convenience in local communities. 【0232】 The following describes the processing flow. 【0233】 Step 1: 【0234】 The user makes a call to the "Connecting Future Services" using their phone. Following the voice guidance, the user enters the problem they want to solve by voice. 【0235】 Step 2: 【0236】 The terminal receives voice input from the user and converts it into text data in real time through a speech recognition system. The converted text data is then sent to the server. 【0237】 Step 3: 【0238】 The server parses the received text data and consults its internal database to find the optimal service provider to meet the user's request. This process takes into account the type of service and geographical location. 【0239】 Step 4: 【0240】 The server notifies the selected service provider of the user's request via email or SMS. This notification includes details of the work to be done and user information. 【0241】 Step 5: 【0242】 The server waits for a response from the service provider and coordinates details such as available visit times. In some cases, the server may contact the service provider directly by phone. 【0243】 Step 6: 【0244】 Based on information from the service provider, the server notifies the user of the specific support needed and the scheduled visit time. This notification is delivered via voice message or text message. 【0245】 Step 7: 【0246】 Users receive notifications from the server and adjust their schedules based on that information. They can also inquire again for confirmation if necessary. 【0247】 (Example 1) 【0248】 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". 【0249】 In modern society, it is crucial to quickly and efficiently resolve the various problems users face in their daily lives. However, for people unfamiliar with technology and the elderly, finding a suitable service provider can be difficult and stressful. Furthermore, making requests without considering geographical conditions or the availability of service providers can lead to wasted time and effort. Therefore, there is a need for an efficient system that quickly selects and notifies the user of the optimal provider based on voice input. 【0250】 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. 【0251】 In this invention, the server includes a speech recognition means that receives voice input from a user via a telephone terminal and converts it into text data; a data retrieval means that analyzes the text data and selects a service provider by referring to a predefined database; and a communication means that selects and notifies the user of the optimal provider based on geographical distance and service availability. This enables the user to quickly find a service provider through voice input and solve problems efficiently. 【0252】 A "telephone terminal" is an information processing device that receives voice input from a user and transmits it to a server. 【0253】 "Speech recognition means" refers to technology that converts speech data into text data in real time. 【0254】 "Text data" refers to data that has been converted by speech recognition technology and expressed as character information. 【0255】 A "data retrieval method" is a process that analyzes text data and extracts information that meets certain criteria from a predefined database. 【0256】 A "database" is a digital information aggregation system that stores information about service providers. 【0257】 A "service provider" is an entity that provides registered services in order to meet the needs of users. 【0258】 "Communication method" refers to the function of transferring information selected by the server to the service provider and the user in an appropriate manner. 【0259】 "Information provision means" refers to the process of notifying users of the progress of problem resolution and detailed information about the service provider. 【0260】 A "short message service" is a communication method for sending short string messages through a communication device. 【0261】 "Past inquiry history" refers to data that records the content of inquiries that users have made in the past. 【0262】 This invention is a system that efficiently solves users' everyday problems by combining speech recognition technology and database search technology. The core components of the system are a telephone terminal and a server. 【0263】 The user uses a telephone terminal for voice input. This telephone terminal is equipped with advanced speech recognition software that converts the user's voice into text data in real time. In this process, for example, widely available speech recognition software can be applied. The converted text data is transmitted to a server via a communication network. 【0264】 The server searches a pre-configured database for a suitable service provider based on the received text data. Here, it selects the optimal provider by considering factors such as geographical distance and service availability. The database contains detailed information on various service providers, and the server uses a search algorithm to quickly extract the relevant information. 【0265】 The server notifies selected service providers of the user's request via email or short message service. This allows service providers to quickly understand the request and begin responding. 【0266】 Users will be notified of information and progress regarding the selected service provider. This includes details such as the scheduled visit time and work content, allowing users to respond according to their own schedule. 【0267】 As a concrete example, consider a case where a user requests, "I've lost my keys, please find a locksmith." The user's voice input is converted into text data on the terminal, and the server searches a database for a suitable locksmith. The server sends a short message to the selected locksmith, and based on its content, the server arranges for the locksmith to visit the user's address. The user is notified of the locksmith's scheduled visit time, enabling them to resolve the problem efficiently. 【0268】 This system is particularly useful for people unfamiliar with technology and the elderly, and helps significantly reduce inconveniences in daily life. It aims to streamline real-world service delivery without relying on generative AI models. 【0269】 An example of a prompt would be, "My garden trees need trimming. Please find a suitable gardener and schedule an appointment." This prompt allows the system to quickly find a gardener who can provide the appropriate service based on the voice command. 【0270】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0271】 Step 1: 【0272】 Terminal operation: The user inputs a service request by voice into the phone terminal. The input voice is converted into digital audio data by the microphone in the terminal. For example, if the user says, "I've lost my keys, please find a locksmith," that voice will be recorded. 【0273】 Step 2: 【0274】 Terminal operation: The terminal uses speech recognition technology to convert digital speech data into text data. Specifically, speech recognition software analyzes the speech waveform and generates text data of corresponding words and sentences. As a result, text such as "I've lost my keys, please find a locksmith" is generated. 【0275】 Step 3: 【0276】 Terminal operation: Text data converted from speech is sent to the server via the communication network. At this point, the input is the converted text data, and the output is the text data that arrives at the server. 【0277】 Step 4: 【0278】 Server operation: The server parses the received text data and searches the database based on its content. The input is text data, and the output is a list of relevant service providers. For example, it would list registered businesses related to "locksmiths". 【0279】 Step 5: 【0280】 Server Operation: The server selects the optimal service provider by considering geographical distance and service availability. This process processes location information and schedule data for each item in the database and outputs providers that meet the criteria. 【0281】 Step 6: 【0282】 Server operation: The server notifies the selected service provider using email or a short message service. The notifications sent include the user's location and the content of the request, which are output as the notifications. 【0283】 Step 7: 【0284】 User feedback: The server notifies the user of the progress of problem-solving and information about the selected service provider. The input is the information of the selected provider, and as output, detailed information such as the estimated time of visit to the user is provided. This enables the user to adjust their schedule. 【0285】 (Application Example 1) 【0286】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0287】 There is a need for a system in which elderly people or users unfamiliar with technology can easily request services such as care in daily life only by voice operation and receive services quickly and smoothly from the most suitable provider, but there is a problem that this cannot be fully realized by conventional technologies. 【0288】 The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0289】 In this invention, the server includes a voice recognition means for receiving voice input from a user via a telephone terminal and converting the voice input into text data, a data analysis means for analyzing the text data and selecting a corresponding merchant from a predefined information group, and a smart device means including a function in which the user requests a care service by voice input using a smart device and the nearest merchant is selected. This enables even elderly people or users unfamiliar with technology to easily request the necessary care services. 【0290】 A "telephone terminal" is a device used by users for voice input and is responsible for collecting voice data and transmitting it to a server. 【0291】 "Voice recognition means" refers to a function equipped with technology that converts voice input received via a telephone terminal into text data in real time. 【0292】 "Data analysis means" refers to a function that performs analytical processing based on text data to select the most suitable vendor from a predefined set of information. 【0293】 "Communication means" refers to functions that include communication technology for notifying selected service providers of the user's requests and coordinating the provision of services. 【0294】 "Notification means" refers to methods used to inform users of the details of service provision, and is a means of conveying information to users. 【0295】 "Smart device means" refers to a function that allows users to use devices such as smartphones and tablets to perform voice input and request care services. 【0296】 "Provider" refers to a business or professional that actually provides a service, as identified based on the user's request. 【0297】 The system for realizing this invention utilizes a telephone terminal, a server, and a smart device. The user provides voice input via the telephone terminal or smart device. Speech recognition is performed using speech recognition software such as Google Cloud Speech-to-Text, which converts the speech into text data in real time. This text data is then sent to the server. 【0298】 The server performs data analysis based on the received text data and selects the most suitable vendor by referring to a database such as PostgreSQL. Vendor information includes geographical location, service availability, and past ratings. If necessary, past usage history is utilized to optimize the service delivery method. 【0299】 Using Firebase as the communication method, user requests are notified to selected vendors via email or SMS. This enables quick and smooth service coordination with vendors. 【0300】 Users are notified of service details using Firebase. This includes the scheduled visit time and services provided by the service provider, allowing users to prepare smoothly for receiving the service. For example, if a user requests "I need care services tomorrow morning" via voice, the system will select the most suitable service provider and schedule a visit time. 【0301】 An example of input to the generating AI model is the prompt, "Please describe in detail the system of an application that allows elderly people to request care services by voice using their smartphones." Using this prompt, the AI ​​model can generate a detailed description of the specific system's functions and flow. 【0302】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0303】 Step 1: 【0304】 The user uses a phone or smart device to input voice information. The input consists of the user's request (e.g., "I need care services tomorrow morning"). The device collects this voice data. 【0305】 Step 2: 【0306】 The terminal converts the collected voice data into text data using speech recognition software such as Google Cloud Speech-to-Text. The input is voice data, and the output is text data. Through this process, the user's intention is converted into a form that can be understood by the machine. 【0307】 Step 3: 【0308】 The server receives the text data sent from the terminal and selects the optimal vendor by referring to a database such as PostgreSQL. The input is the text data recording the user's request, and the output is the information of the selected vendor. It performs the operation of querying the database and determining the vendor considering geographical conditions and past usage situations. 【0309】 Step 4: 【0310】 The server sends a notification to the selected vendor via email or SMS using Firebase. The input is the vendor information and the content of the user's request, and the output is the notification message. With this notification, the vendor can immediately grasp the user's request and start preparing for the response. 【0311】 Step 5: 【0312】 The user receives detailed service provision information from the server. For example, the visit time and work content are notified. The input is the confirmation information from the vendor, and the output is the visit schedule notification to the user. Based on this information, the user can adjust the schedule to receive the service smoothly. 【0313】 Through this process, even elderly or technology-unfamiliar users can easily request care services, select the optimal vendor, and receive the service smoothly. 【0314】 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. 【0315】 This invention provides a system that receives voice input from a user via a telephone terminal and analyzes the voice data. This system integrates voice recognition means, data analysis means, and an emotion engine. 【0316】 When a user requests problem resolution from a phone terminal, the terminal uses speech recognition to convert the voice data into text data. This text data serves as the analytical foundation for the entire system. The terminal further analyzes the user's emotions from their voice using an emotion engine. The emotion engine analyzes the tone, tempo, stress patterns, etc., of the voice to evaluate the user's emotional state. 【0317】 The server considers the emotional data obtained by the emotion engine and uses data analysis tools to select the most suitable service provider for the request. The emotional data helps identify the user's needs, such as how urgent they are or whether they are seeking reassurance. The emotional data is also reflected in notifications to service providers, allowing them to respond in a way that is sensitive to the user's emotions. 【0318】 For example, when a user requests an urgent repair via voice, if the emotion engine detects a high stress level, the server will prioritize selecting and notify a provider capable of handling the emergency. This notification will also include information indicating the user's anxiety, allowing the provider to respond accordingly. 【0319】 In this way, users can communicate their problems in detail through the intuitive method of voice, and by utilizing the emotion engine, they can receive more appropriate and prompt service. This system is user-friendly for the elderly and those unfamiliar with technology, creating a safe and secure environment. 【0320】 The following describes the processing flow. 【0321】 Step 1: 【0322】 The user accesses the system via a telephone terminal and inputs the problem they want to solve using voice. The telephone terminal connects to the system using the user's standard voice communication. 【0323】 Step 2: 【0324】 The terminal converts the received audio data into text data using speech recognition technology. This conversion process is performed in real time, allowing the user to proceed immediately. 【0325】 Step 3: 【0326】 The device transfers the converted text data to the emotion engine. The emotion engine analyzes the voice patterns to evaluate the user's emotional state and outputs this as emotion data. 【0327】 Step 4: 【0328】 The server receives text and sentiment data and uses data analysis to identify the appropriate service provider to meet the user's request. The server optimizes response priorities by taking sentiment data into consideration. 【0329】 Step 5: 【0330】 The server sends a notification to the selected service provider via email or SMS containing the user's request details and sentiment data. This allows the provider to prepare a response that is appropriate to the user's sentiment. 【0331】 Step 6: 【0332】 The server will notify the user of the selected service provider's information and the scheduled visit time. This notification will be made via voice or text message. 【0333】 Step 7: 【0334】 Users receive notifications and prepare for their scheduled visit. They can also fine-tune service delivery by responding to the communication as needed. 【0335】 (Example 2) 【0336】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0337】 Conventional systems simply convert voice input into text data, selecting service providers without considering the user's emotions or urgency, which can lead to an inability to adequately address user needs. Furthermore, the lack of emotional consideration can result in user dissatisfaction. This system aims to solve these problems. 【0338】 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. 【0339】 In this invention, the server includes speech recognition means for converting speech into text data, emotion analysis means for evaluating the user's emotions, and data analysis means for selecting the optimal service provider based on the emotion data and text data. This enables the provision of more appropriate and prompt services that take into account the user's emotions and urgency. 【0340】 A "telephone terminal" is a communication device that receives voice input and transmits it to a system. 【0341】 "Voice input" refers to voice information that a user emits via a telephone terminal. 【0342】 "Text data" refers to the conversion of voice input into written information. 【0343】 "Speech recognition means" refers to technologies and devices that convert speech input into text data. 【0344】 "Emotional analysis methods" refer to technologies and devices that evaluate a user's emotional state from text data or audio data. 【0345】 "Emotional data" refers to information about a user's emotional state obtained through emotion analysis methods. 【0346】 "Data analysis means" refers to technologies and devices that select the optimal service provider based on text data and sentiment data. 【0347】 A "service provider" is a business or organization that provides services to users. 【0348】 "Communication means" refers to methods and technologies for notifying a selected service provider of the user's requests and emotional state. 【0349】 "Notification means" refers to functions or devices used to communicate details of service provision to users. 【0350】 This invention relates to a system that provides more appropriate and timely services by receiving voice input from users using a telephone terminal and analyzing that information. The terminal uses a technology that converts voice to text data as a voice recognition means. The technology envisioned here is an existing voice recognition API. The converted text data functions as the foundation of the entire system and forms the basis for subsequent processing. 【0351】 Next, the device uses emotion analysis tools to evaluate the user's emotions from their text data. This emotion analysis utilizes machine learning models to analyze voice tone, tempo, and stress patterns. Specifically, existing emotion analysis APIs are used. This analysis allows the device to determine how hurried the user is, or what emotions they are experiencing. 【0352】 The analyzed data is sent to the server and used as foundational data for selecting a service provider. The server uses data analysis tools to select the optimal service provider based on text data and sentiment data. Here, the server selects the provider best suited to the user's situation from a predefined set of information to meet the user's needs. In doing so, the selected provider is notified of the request and the user's emotional state, and considerations are taken into account to meet the user's expectations. 【0353】 For example, if a user requests an urgent repair using a telephone terminal, the terminal receives the user's voice, and if the emotion analysis system detects a high stress level, the server can prioritize selecting a provider capable of handling the emergency and send a notification urging a prompt response. 【0354】 An example of a prompt to input into a generative AI model would be, "Please describe the steps to build a system that analyzes voice input from a user and selects the optimal service provider based on sentiment data." This prompt allows the system to efficiently respond to the user's intuitive needs. 【0355】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0356】 Step 1: 【0357】 The device receives voice input from the user. The input is voice information spoken by the user through the device. This voice input is captured by a high-performance microphone, and clear audio data is ensured using noise cancellation technology. The output is the original audio data. 【0358】 Step 2: 【0359】 The device converts the received audio data into text data using speech recognition. The input is the audio data obtained in step 1. A calculation process is performed to convert the audio to text using a speech recognition API. The output is text data representing the content. 【0360】 Step 3: 【0361】 The device uses emotion analysis to evaluate the user's emotional state from text data. The input is the text data obtained in step 2. Using an emotion analysis API, it evaluates the tone, tempo, stress patterns, etc. of the voice to identify the emotional state. The output is emotion data indicating the user's emotional state. 【0362】 Step 4: 【0363】 The terminal sends text data and sentiment data to the server. The input is the text data obtained in step 2 and the sentiment data obtained in step 3. These data are combined to generate a query, which is then sent to the server. The output is the query data sent to the server. 【0364】 Step 5: 【0365】 The server uses data analysis tools to select the optimal service provider based on the query data it receives. The input is the query data sent in step 4. In this process, providers are searched from the database, and the best selection is made according to the user's needs. The output is the information of the selected service provider. 【0366】 Step 6: 【0367】 The server notifies the selected service provider of the user's request and emotional state. The input is the service provider information and emotional data obtained in step 5. The information is transmitted to the provider via electronic communication using the notification method. The output is the notification data received by the provider. 【0368】 Step 7: 【0369】 The terminal notifies the user of details regarding service provision from the provider. The input is the service provision details received from the server. The information is displayed or audibly communicated to the user, informing them of the service provision details. The output is the detailed service provision information received by the user. 【0370】 (Application Example 2) 【0371】 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 as the "terminal". 【0372】 In an aging society, care facilities and caregivers are required to quickly understand the emotional state of residents and respond appropriately. However, conventional systems have made it difficult to accurately assess residents' emotions and provide prompt and accurate services based on those assessments. This need is particularly evident in situations where emotionally responsive care is required. 【0373】 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. 【0374】 In this invention, the server includes: speech recognition means that receive voice input from a user via a telephone device and convert the voice input into text data; emotion analysis means that analyze the text data and evaluate the user's emotions; and data analysis means that, taking into account the emotion data obtained by the emotion analysis means, select a corresponding service provider from a predefined set of information. This makes it possible to provide optimal services according to the user's emotional state. 【0375】 A "telephone device" is a communication device used to receive voice input from users. 【0376】 "Speech recognition means" refers to technology that converts speech input into text data. 【0377】 "Text data" refers to data in text format that has been converted from voice input. 【0378】 "Emotion analysis methods" are technologies that evaluate a user's emotions based on text data. 【0379】 "Emotional data" refers to information about a user's emotions obtained through emotion analysis methods. 【0380】 An "information set" is a predefined database or list used to manage service providers. 【0381】 A "service provider" is an individual or organization that provides services in response to the user's request. 【0382】 "Data analysis means" refers to a technology that uses text data and sentiment data to select the most suitable service provider. 【0383】 The server receives voice input from the user via a telephone device. The voice input is converted into text data using speech recognition technology. This process utilizes communication equipment with speech recognition software installed. Existing technologies, such as the Google Speech Recognition API, can be used for speech recognition. 【0384】 Text data is sent to an emotion analysis system, where the user's emotions are evaluated. Emotion analysis considers factors such as voice tone, tempo, and stress patterns, enabling the detection of various emotional states. Software equipped with an emotion analysis engine is used for emotion analysis. The software achieves high accuracy by implementing emotion detection algorithms, for example, utilizing natural language processing technology. 【0385】 The collected emotional data is processed by the server using data analysis tools. The server considers the emotional data and selects the most suitable service provider from a predefined set of information. This enables the rapid and appropriate provision of services based on the user's level of urgency. 【0386】 The communication method transmits the user's requests and emotional state to the selected service provider. Electronic messages and short message services (SMS) can be used for this purpose. In this way, the service provider can understand the user's emotional state and respond flexibly based on that understanding. 【0387】 As a concrete example, if a resident in a nursing home expresses, "I'm feeling a little unwell," via voice, this system will detect a low volume or high stress level and notify the assigned caregiver. This notification includes a summary of the resident's emotional state and statement, enabling a quick and appropriate response. This allows for effective care even in unforeseen circumstances. 【0388】 An example of a prompt message could be, "Generate code for an application that analyzes the user's current emotions and sends a notification to care staff." This would enable the provision of more sophisticated services by utilizing a generative AI model. 【0389】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0390】 Step 1: 【0391】 The server receives voice input from the user via a telephone device. The input is in the form of an audio file, which is then sent to the speech recognition system. Once the audio file has been received, the data is ready to proceed to the next processing step. 【0392】 Step 2: 【0393】 The server uses speech recognition to convert voice input into text data. Specifically, it analyzes the speech and converts it into a corresponding text format. The input is voice data, and the output is text data. This text data is sent to a data analysis system, which is then ready for sentiment analysis. 【0394】 Step 3: 【0395】 A data analysis tool receives text data, and an emotion analysis tool evaluates the user's emotions. The input is text data, and the output is emotion data. Emotion analysis is performed based on the tone, tempo, and content of the voice, and as a result, emotions can be identified. This result is used to select the most suitable service provider. 【0396】 Step 4: 【0397】 The server selects the optimal service provider using data analysis tools, taking sentiment data into consideration. The input consists of sentiment data and a predefined set of information, while the output is information about the selected service provider. The selection is performed to ensure rapid and appropriate service delivery. This information is then sent to the next communication device. 【0398】 Step 5: 【0399】 The terminal uses communication methods to transmit the user's requests and emotional state to the selected service provider. Specifically, notifications are sent via electronic message or short message service (SMS). Inputs include information about the selected service provider and the user's requests and emotional data, while output is the notification content. This allows the service provider to respond appropriately to the user's situation. 【0400】 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. 【0401】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0402】 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. 【0403】 [Third Embodiment] 【0404】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0405】 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. 【0406】 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). 【0407】 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. 【0408】 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. 【0409】 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). 【0410】 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. 【0411】 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. 【0412】 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. 【0413】 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. 【0414】 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. 【0415】 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". 【0416】 This invention provides an effective method for solving problems that users face in their daily lives, using a system that includes a telephone terminal and a server. 【0417】 The telephone terminal receives voice input from the user and transfers the voice data to the server. Terminals equipped with voice recognition technology convert the received voice into text data in real time. This text data is used as basic information to accurately identify the service requested by the user. 【0418】 The server receives text data generated by speech recognition and refers to a database to identify a service provider that can respond to the user's request. The database contains information on registered service providers in the town, and the server has the ability to select the most appropriate provider based on geographical distance and service availability. 【0419】 For example, if a user requests a light bulb replacement, the server searches its database for a suitable electrician, and coordinates an available time for their visit along with their contact information. Through communication channels, the server sends a notification via email or SMS to the selected service provider to ensure the necessary service is provided. 【0420】 Users receive notifications regarding the progress of problem resolution and information about the selected service provider. These notifications include scheduled visit times and work details, allowing users to adjust their schedules accordingly. 【0421】 The invention will enable users to solve everyday problems with just a phone call, without requiring advanced technical knowledge. This system will be particularly useful for the elderly and users unfamiliar with technology, contributing to improved safety and convenience in local communities. 【0422】 The following describes the processing flow. 【0423】 Step 1: 【0424】 The user makes a call to the "Connecting Future Services" using their phone. Following the voice guidance, the user enters the problem they want to solve by voice. 【0425】 Step 2: 【0426】 The terminal receives voice input from the user and converts it into text data in real time through a speech recognition system. The converted text data is then sent to the server. 【0427】 Step 3: 【0428】 The server parses the received text data and consults its internal database to find the optimal service provider to meet the user's request. This process takes into account the type of service and geographical location. 【0429】 Step 4: 【0430】 The server notifies the selected service provider of the user's request via email or SMS. This notification includes details of the work to be done and user information. 【0431】 Step 5: 【0432】 The server waits for a response from the service provider and coordinates details such as available visit times. In some cases, the server may contact the service provider directly by phone. 【0433】 Step 6: 【0434】 Based on information from the service provider, the server notifies the user of the specific support needed and the scheduled visit time. This notification is delivered via voice message or text message. 【0435】 Step 7: 【0436】 Users receive notifications from the server and adjust their schedules based on that information. They can also inquire again for confirmation if necessary. 【0437】 (Example 1) 【0438】 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." 【0439】 In modern society, it is crucial to quickly and efficiently resolve the various problems users face in their daily lives. However, for people unfamiliar with technology and the elderly, finding a suitable service provider can be difficult and stressful. Furthermore, making requests without considering geographical conditions or the availability of service providers can lead to wasted time and effort. Therefore, there is a need for an efficient system that quickly selects and notifies the user of the optimal provider based on voice input. 【0440】 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. 【0441】 In this invention, the server includes a speech recognition means that receives voice input from a user via a telephone terminal and converts it into text data; a data retrieval means that analyzes the text data and selects a service provider by referring to a predefined database; and a communication means that selects and notifies the user of the optimal provider based on geographical distance and service availability. This enables the user to quickly find a service provider through voice input and solve problems efficiently. 【0442】 A "telephone terminal" is an information processing device that receives voice input from a user and transmits it to a server. 【0443】 "Speech recognition means" refers to technology that converts speech data into text data in real time. 【0444】 "Text data" refers to data that has been converted by speech recognition technology and expressed as character information. 【0445】 A "data retrieval method" is a process that analyzes text data and extracts information that meets certain criteria from a predefined database. 【0446】 A "database" is a digital information aggregation system that stores information about service providers. 【0447】 A "service provider" is an entity that provides registered services in order to meet the needs of users. 【0448】 "Communication method" refers to the function of transferring information selected by the server to the service provider and the user in an appropriate manner. 【0449】 "Information provision means" refers to the process of notifying users of the progress of problem resolution and detailed information about the service provider. 【0450】 A "short message service" is a communication method for sending short string messages through a communication device. 【0451】 "Past inquiry history" refers to data that records the content of inquiries that users have made in the past. 【0452】 This invention is a system that efficiently solves users' everyday problems by combining speech recognition technology and database search technology. The core components of the system are a telephone terminal and a server. 【0453】 The user uses a telephone terminal for voice input. This telephone terminal is equipped with advanced speech recognition software that converts the user's voice into text data in real time. In this process, for example, widely available speech recognition software can be applied. The converted text data is transmitted to a server via a communication network. 【0454】 The server searches a pre-configured database for a suitable service provider based on the received text data. Here, it selects the optimal provider by considering factors such as geographical distance and service availability. The database contains detailed information on various service providers, and the server uses a search algorithm to quickly extract the relevant information. 【0455】 The server notifies selected service providers of the user's request via email or short message service. This allows service providers to quickly understand the request and begin responding. 【0456】 Users will be notified of information and progress regarding the selected service provider. This includes details such as the scheduled visit time and work content, allowing users to respond according to their own schedule. 【0457】 As a concrete example, consider a case where a user requests, "I've lost my keys, please find a locksmith." The user's voice input is converted into text data on the terminal, and the server searches a database for a suitable locksmith. The server sends a short message to the selected locksmith, and based on its content, the server arranges for the locksmith to visit the user's address. The user is notified of the locksmith's scheduled visit time, enabling them to resolve the problem efficiently. 【0458】 This system is particularly useful for people unfamiliar with technology and the elderly, and helps significantly reduce inconveniences in daily life. It aims to streamline real-world service delivery without relying on generative AI models. 【0459】 An example of a prompt would be, "My garden trees need trimming. Please find a suitable gardener and schedule an appointment." This prompt allows the system to quickly find a gardener who can provide the appropriate service based on the voice command. 【0460】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0461】 Step 1: 【0462】 Terminal operation: The user inputs a service request by voice into the phone terminal. The input voice is converted into digital audio data by the microphone in the terminal. For example, if the user says, "I've lost my keys, please find a locksmith," that voice will be recorded. 【0463】 Step 2: 【0464】 Terminal operation: The terminal uses speech recognition technology to convert digital speech data into text data. Specifically, speech recognition software analyzes the speech waveform and generates text data of corresponding words and sentences. As a result, text such as "I've lost my keys, please find a locksmith" is generated. 【0465】 Step 3: 【0466】 Terminal operation: Text data converted from speech is sent to the server via the communication network. At this point, the input is the converted text data, and the output is the text data that arrives at the server. 【0467】 Step 4: 【0468】 Server operation: The server parses the received text data and searches the database based on its content. The input is text data, and the output is a list of relevant service providers. For example, it would list registered businesses related to "locksmiths". 【0469】 Step 5: 【0470】 Server Operation: The server selects the optimal service provider by considering geographical distance and service availability. This process processes location information and schedule data for each item in the database and outputs providers that meet the criteria. 【0471】 Step 6: 【0472】 Server Operation: The server notifies selected service providers via email or short message service. The notification includes the user's location and request details, which are output as part of the notification. 【0473】 Step 7: 【0474】 User Feedback: The server notifies the user of the progress of problem resolution and information about the selected service provider. The input is information about the selected provider, and the output provides the user with detailed information such as the scheduled visit time. This allows the user to adjust their schedule accordingly. 【0475】 (Application Example 1) 【0476】 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." 【0477】 There is a need for a system that allows elderly people and users unfamiliar with technology to easily request services such as daily care using only voice commands, and to receive those services quickly and smoothly from the most suitable provider. However, conventional technology has not been able to adequately achieve this. 【0478】 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. 【0479】 In this invention, the server includes a voice recognition means that receives voice input from a user via a telephone terminal and converts the voice input into text data; a data analysis means that analyzes the text data and selects a corresponding provider from a predefined set of information; and a smart device means that includes a function in which the user requests care services by voice input using a smart device and the nearest provider is selected. This makes it possible for elderly people and users unfamiliar with technology to easily request the care services they need. 【0480】 A "telephone terminal" is a device used by users for voice input and is responsible for collecting voice data and transmitting it to a server. 【0481】 "Voice recognition means" refers to a function equipped with technology that converts voice input received via a telephone terminal into text data in real time. 【0482】 "Data analysis means" refers to a function that performs analytical processing based on text data to select the most suitable vendor from a predefined set of information. 【0483】 "Communication means" refers to functions that include communication technology for notifying selected service providers of the user's requests and coordinating the provision of services. 【0484】 "Notification means" refers to methods used to inform users of the details of service provision, and is a means of conveying information to users. 【0485】 "Smart device means" refers to a function that allows users to use devices such as smartphones and tablets to perform voice input and request care services. 【0486】 "Provider" refers to a business or professional that actually provides a service, as identified based on the user's request. 【0487】 The system for realizing this invention utilizes a telephone terminal, a server, and a smart device. The user provides voice input via the telephone terminal or smart device. Speech recognition is performed using speech recognition software such as Google Cloud Speech-to-Text, which converts the speech into text data in real time. This text data is then sent to the server. 【0488】 The server performs data analysis based on the received text data and selects the most suitable vendor by referring to a database such as PostgreSQL. Vendor information includes geographical location, service availability, and past ratings. If necessary, past usage history is utilized to optimize the service delivery method. 【0489】 Using Firebase as the communication method, user requests are notified to selected vendors via email or SMS. This enables quick and smooth service coordination with vendors. 【0490】 Users are notified of service details using Firebase. This includes the scheduled visit time and services provided by the service provider, allowing users to prepare smoothly for receiving the service. For example, if a user requests "I need care services tomorrow morning" via voice, the system will select the most suitable service provider and schedule a visit time. 【0491】 An example of input to the generating AI model is the prompt, "Please describe in detail the system of an application that allows elderly people to request care services by voice using their smartphones." Using this prompt, the AI ​​model can generate a detailed description of the specific system's functions and flow. 【0492】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0493】 Step 1: 【0494】 The user uses a phone or smart device to input voice information. The input consists of the user's request (e.g., "I need care services tomorrow morning"). The device collects this voice data. 【0495】 Step 2: 【0496】 The device converts the collected audio data into text data using speech recognition software such as Google Cloud Speech-to-Text. The input is audio data, and the output is text data. This process converts the user's intent into a format that can be understood by a machine. 【0497】 Step 3: 【0498】 The server receives text data sent from the terminal, consults a database such as PostgreSQL, and selects the most suitable provider. The input is text data describing the user's request, and the output is information about the selected provider. The server queries the database and determines a provider considering geographical conditions and past usage history. 【0499】 Step 4: 【0500】 The server sends notifications to selected vendors via email or SMS using Firebase. Inputs include vendor information and user request details, while output is a notification message. This notification allows vendors to immediately understand the user request and begin preparing to respond. 【0501】 Step 5: 【0502】 The user receives detailed service information from the server. For example, they are notified of the visit time and work content. Input is confirmation information from the service provider, and output is a visit schedule notification to the user. Based on this information, the user can adjust their schedule to ensure they receive the service smoothly. 【0503】 This process makes it easy for elderly people and users unfamiliar with technology to request care services, choose the most suitable provider, and receive services smoothly. 【0504】 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. 【0505】 This invention provides a system that receives voice input from a user via a telephone terminal and analyzes the voice data. This system integrates voice recognition means, data analysis means, and an emotion engine. 【0506】 When a user requests problem resolution from a phone terminal, the terminal uses speech recognition to convert the voice data into text data. This text data serves as the analytical foundation for the entire system. The terminal further analyzes the user's emotions from their voice using an emotion engine. The emotion engine analyzes the tone, tempo, stress patterns, etc., of the voice to evaluate the user's emotional state. 【0507】 The server considers the emotional data obtained by the emotion engine and uses data analysis tools to select the most suitable service provider for the request. The emotional data helps identify the user's needs, such as how urgent they are or whether they are seeking reassurance. The emotional data is also reflected in notifications to service providers, allowing them to respond in a way that is sensitive to the user's emotions. 【0508】 For example, when a user requests an urgent repair via voice, if the emotion engine detects a high stress level, the server will prioritize selecting and notify a provider capable of handling the emergency. This notification will also include information indicating the user's anxiety, allowing the provider to respond accordingly. 【0509】 In this way, users can communicate their problems in detail through the intuitive method of voice, and by utilizing the emotion engine, they can receive more appropriate and prompt service. This system is user-friendly for the elderly and those unfamiliar with technology, creating a safe and secure environment. 【0510】 The following describes the processing flow. 【0511】 Step 1: 【0512】 The user accesses the system via a telephone terminal and inputs the problem they want to solve using voice. The telephone terminal connects to the system using the user's standard voice communication. 【0513】 Step 2: 【0514】 The terminal converts the received audio data into text data using speech recognition technology. This conversion process is performed in real time, allowing the user to proceed immediately. 【0515】 Step 3: 【0516】 The device transfers the converted text data to the emotion engine. The emotion engine analyzes the voice patterns to evaluate the user's emotional state and outputs this as emotion data. 【0517】 Step 4: 【0518】 The server receives text and sentiment data and uses data analysis to identify the appropriate service provider to meet the user's request. The server optimizes response priorities by taking sentiment data into consideration. 【0519】 Step 5: 【0520】 The server sends a notification to the selected service provider via email or SMS containing the user's request details and sentiment data. This allows the provider to prepare a response that is appropriate to the user's sentiment. 【0521】 Step 6: 【0522】 The server will notify the user of the selected service provider's information and the scheduled visit time. This notification will be made via voice or text message. 【0523】 Step 7: 【0524】 Users receive notifications and prepare for their scheduled visit. They can also fine-tune service delivery by responding to the communication as needed. 【0525】 (Example 2) 【0526】 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." 【0527】 Conventional systems simply convert voice input into text data, selecting service providers without considering the user's emotions or urgency, which can lead to an inability to adequately address user needs. Furthermore, the lack of emotional consideration can result in user dissatisfaction. This system aims to solve these problems. 【0528】 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. 【0529】 In this invention, the server includes speech recognition means for converting speech into text data, emotion analysis means for evaluating the user's emotions, and data analysis means for selecting the optimal service provider based on the emotion data and text data. This enables the provision of more appropriate and prompt services that take into account the user's emotions and urgency. 【0530】 A "telephone terminal" is a communication device that receives voice input and transmits it to a system. 【0531】 "Voice input" refers to voice information that a user emits via a telephone terminal. 【0532】 "Text data" refers to the conversion of voice input into written information. 【0533】 "Speech recognition means" refers to technologies and devices that convert speech input into text data. 【0534】 "Emotional analysis methods" refer to technologies and devices that evaluate a user's emotional state from text data or audio data. 【0535】 "Emotional data" refers to information about a user's emotional state obtained through emotion analysis methods. 【0536】 "Data analysis means" refers to technologies and devices that select the optimal service provider based on text data and sentiment data. 【0537】 A "service provider" is a business or organization that provides services to users. 【0538】 "Communication means" refers to methods and technologies for notifying a selected service provider of the user's requests and emotional state. 【0539】 "Notification means" refers to functions or devices used to communicate details of service provision to users. 【0540】 This invention relates to a system that provides more appropriate and timely services by receiving voice input from users using a telephone terminal and analyzing that information. The terminal uses a technology that converts voice to text data as a voice recognition means. The technology envisioned here is an existing voice recognition API. The converted text data functions as the foundation of the entire system and forms the basis for subsequent processing. 【0541】 Next, the device uses emotion analysis tools to evaluate the user's emotions from their text data. This emotion analysis utilizes machine learning models to analyze voice tone, tempo, and stress patterns. Specifically, existing emotion analysis APIs are used. This analysis allows the device to determine how hurried the user is, or what emotions they are experiencing. 【0542】 The analyzed data is sent to the server and used as foundational data for selecting a service provider. The server uses data analysis tools to select the optimal service provider based on text data and sentiment data. Here, the server selects the provider best suited to the user's situation from a predefined set of information to meet the user's needs. In doing so, the selected provider is notified of the request and the user's emotional state, and considerations are taken into account to meet the user's expectations. 【0543】 For example, if a user requests an urgent repair using a telephone terminal, the terminal receives the user's voice, and if the emotion analysis system detects a high stress level, the server can prioritize selecting a provider capable of handling the emergency and send a notification urging a prompt response. 【0544】 An example of a prompt to input into a generative AI model would be, "Please describe the steps to build a system that analyzes voice input from a user and selects the optimal service provider based on sentiment data." This prompt allows the system to efficiently respond to the user's intuitive needs. 【0545】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0546】 Step 1: 【0547】 The device receives voice input from the user. The input is voice information spoken by the user through the device. This voice input is captured by a high-performance microphone, and clear audio data is ensured using noise cancellation technology. The output is the original audio data. 【0548】 Step 2: 【0549】 The device converts the received audio data into text data using speech recognition. The input is the audio data obtained in step 1. A calculation process is performed to convert the audio to text using a speech recognition API. The output is text data representing the content. 【0550】 Step 3: 【0551】 The device uses emotion analysis to evaluate the user's emotional state from text data. The input is the text data obtained in step 2. Using an emotion analysis API, it evaluates the tone, tempo, stress patterns, etc. of the voice to identify the emotional state. The output is emotion data indicating the user's emotional state. 【0552】 Step 4: 【0553】 The terminal sends text data and sentiment data to the server. The input is the text data obtained in step 2 and the sentiment data obtained in step 3. These data are combined to generate a query, which is then sent to the server. The output is the query data sent to the server. 【0554】 Step 5: 【0555】 The server uses data analysis tools to select the optimal service provider based on the query data it receives. The input is the query data sent in step 4. In this process, providers are searched from the database, and the best selection is made according to the user's needs. The output is the information of the selected service provider. 【0556】 Step 6: 【0557】 The server notifies the selected service provider of the user's request and emotional state. The input is the service provider information and emotional data obtained in step 5. The information is transmitted to the provider via electronic communication using the notification method. The output is the notification data received by the provider. 【0558】 Step 7: 【0559】 The terminal notifies the user of details regarding service provision from the provider. The input is the service provision details received from the server. The information is displayed or audibly communicated to the user, informing them of the service provision details. The output is the detailed service provision information received by the user. 【0560】 (Application Example 2) 【0561】 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." 【0562】 In an aging society, care facilities and caregivers are required to quickly understand the emotional state of residents and respond appropriately. However, conventional systems have made it difficult to accurately assess residents' emotions and provide prompt and accurate services based on those assessments. This need is particularly evident in situations where emotionally responsive care is required. 【0563】 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. 【0564】 In this invention, the server includes: speech recognition means that receive voice input from a user via a telephone device and convert the voice input into text data; emotion analysis means that analyze the text data and evaluate the user's emotions; and data analysis means that, taking into account the emotion data obtained by the emotion analysis means, select a corresponding service provider from a predefined set of information. This makes it possible to provide optimal services according to the user's emotional state. 【0565】 A "telephone device" is a communication device used to receive voice input from users. 【0566】 "Speech recognition means" refers to technology that converts speech input into text data. 【0567】 "Text data" refers to data in text format that has been converted from voice input. 【0568】 "Emotion analysis methods" are technologies that evaluate a user's emotions based on text data. 【0569】 "Emotional data" refers to information about a user's emotions obtained through emotion analysis methods. 【0570】 An "information set" is a predefined database or list used to manage service providers. 【0571】 A "service provider" is an individual or organization that provides services in response to the user's request. 【0572】 "Data analysis means" refers to a technology that uses text data and sentiment data to select the most suitable service provider. 【0573】 The server receives voice input from the user via a telephone device. The voice input is converted into text data using speech recognition technology. This process utilizes communication equipment with speech recognition software installed. Existing technologies, such as the Google Speech Recognition API, can be used for speech recognition. 【0574】 Text data is sent to an emotion analysis system, where the user's emotions are evaluated. Emotion analysis considers factors such as voice tone, tempo, and stress patterns, enabling the detection of various emotional states. Software equipped with an emotion analysis engine is used for emotion analysis. The software achieves high accuracy by implementing emotion detection algorithms, for example, utilizing natural language processing technology. 【0575】 The collected emotional data is processed by the server using data analysis tools. The server considers the emotional data and selects the most suitable service provider from a predefined set of information. This enables the rapid and appropriate provision of services based on the user's level of urgency. 【0576】 The communication method transmits the user's requests and emotional state to the selected service provider. Electronic messages and short message services (SMS) can be used for this purpose. In this way, the service provider can understand the user's emotional state and respond flexibly based on that understanding. 【0577】 As a concrete example, if a resident in a nursing home expresses, "I'm feeling a little unwell," via voice, this system will detect a low volume or high stress level and notify the assigned caregiver. This notification includes a summary of the resident's emotional state and statement, enabling a quick and appropriate response. This allows for effective care even in unforeseen circumstances. 【0578】 An example of a prompt message could be, "Generate code for an application that analyzes the user's current emotions and sends a notification to care staff." This would enable the provision of more sophisticated services by utilizing a generative AI model. 【0579】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0580】 Step 1: 【0581】 The server receives voice input from the user via a telephone device. The input is in the form of an audio file, which is then sent to the speech recognition system. Once the audio file has been received, the data is ready to proceed to the next processing step. 【0582】 Step 2: 【0583】 The server uses speech recognition to convert voice input into text data. Specifically, it analyzes the speech and converts it into a corresponding text format. The input is voice data, and the output is text data. This text data is sent to a data analysis system, which is then ready for sentiment analysis. 【0584】 Step 3: 【0585】 A data analysis tool receives text data, and an emotion analysis tool evaluates the user's emotions. The input is text data, and the output is emotion data. Emotion analysis is performed based on the tone, tempo, and content of the voice, and as a result, emotions can be identified. This result is used to select the most suitable service provider. 【0586】 Step 4: 【0587】 The server selects the optimal service provider using data analysis tools, taking sentiment data into consideration. The input consists of sentiment data and a predefined set of information, while the output is information about the selected service provider. The selection is performed to ensure rapid and appropriate service delivery. This information is then sent to the next communication device. 【0588】 Step 5: 【0589】 The terminal uses communication methods to transmit the user's requests and emotional state to the selected service provider. Specifically, notifications are sent via electronic message or short message service (SMS). Inputs include information about the selected service provider and the user's requests and emotional data, while output is the notification content. This allows the service provider to respond appropriately to the user's situation. 【0590】 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. 【0591】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0592】 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. 【0593】 [Fourth Embodiment] 【0594】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0595】 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. 【0596】 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). 【0597】 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. 【0598】 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. 【0599】 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). 【0600】 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. 【0601】 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. 【0602】 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. 【0603】 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. 【0604】 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. 【0605】 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. 【0606】 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". 【0607】 This invention provides an effective method for solving problems that users face in their daily lives, using a system that includes a telephone terminal and a server. 【0608】 The telephone terminal receives voice input from the user and transfers the voice data to the server. Terminals equipped with voice recognition technology convert the received voice into text data in real time. This text data is used as basic information to accurately identify the service requested by the user. 【0609】 The server receives text data generated by speech recognition and refers to a database to identify a service provider that can respond to the user's request. The database contains information on registered service providers in the town, and the server has the ability to select the most appropriate provider based on geographical distance and service availability. 【0610】 For example, if a user requests a light bulb replacement, the server searches its database for a suitable electrician, and coordinates an available time for their visit along with their contact information. Through communication channels, the server sends a notification via email or SMS to the selected service provider to ensure the necessary service is provided. 【0611】 Users receive notifications regarding the progress of problem resolution and information about the selected service provider. These notifications include scheduled visit times and work details, allowing users to adjust their schedules accordingly. 【0612】 The invention will enable users to solve everyday problems with just a phone call, without requiring advanced technical knowledge. This system will be particularly useful for the elderly and users unfamiliar with technology, contributing to improved safety and convenience in local communities. 【0613】 The following describes the processing flow. 【0614】 Step 1: 【0615】 The user makes a call to the "Connecting Future Services" using their phone. Following the voice guidance, the user enters the problem they want to solve by voice. 【0616】 Step 2: 【0617】 The terminal receives voice input from the user and converts it into text data in real time through a speech recognition system. The converted text data is then sent to the server. 【0618】 Step 3: 【0619】 The server parses the received text data and consults its internal database to find the optimal service provider to meet the user's request. This process takes into account the type of service and geographical location. 【0620】 Step 4: 【0621】 The server notifies the selected service provider of the user's request via email or SMS. This notification includes details of the work to be done and user information. 【0622】 Step 5: 【0623】 The server waits for a response from the service provider and coordinates details such as available visit times. In some cases, the server may contact the service provider directly by phone. 【0624】 Step 6: 【0625】 Based on information from the service provider, the server notifies the user of the specific support needed and the scheduled visit time. This notification is delivered via voice message or text message. 【0626】 Step 7: 【0627】 Users receive notifications from the server and adjust their schedules based on that information. They can also inquire again for confirmation if necessary. 【0628】 (Example 1) 【0629】 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". 【0630】 In modern society, it is crucial to quickly and efficiently resolve the various problems users face in their daily lives. However, for people unfamiliar with technology and the elderly, finding a suitable service provider can be difficult and stressful. Furthermore, making requests without considering geographical conditions or the availability of service providers can lead to wasted time and effort. Therefore, there is a need for an efficient system that quickly selects and notifies the user of the optimal provider based on voice input. 【0631】 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. 【0632】 In this invention, the server includes a speech recognition means that receives voice input from a user via a telephone terminal and converts it into text data; a data retrieval means that analyzes the text data and selects a service provider by referring to a predefined database; and a communication means that selects and notifies the user of the optimal provider based on geographical distance and service availability. This enables the user to quickly find a service provider through voice input and solve problems efficiently. 【0633】 A "telephone terminal" is an information processing device that receives voice input from a user and transmits it to a server. 【0634】 "Speech recognition means" refers to technology that converts speech data into text data in real time. 【0635】 "Text data" refers to data that has been converted by speech recognition technology and expressed as character information. 【0636】 A "data retrieval method" is a process that analyzes text data and extracts information that meets certain criteria from a predefined database. 【0637】 A "database" is a digital information aggregation system that stores information about service providers. 【0638】 A "service provider" is an entity that provides registered services in order to meet the needs of users. 【0639】 "Communication method" refers to the function of transferring information selected by the server to the service provider and the user in an appropriate manner. 【0640】 "Information provision means" refers to the process of notifying users of the progress of problem resolution and detailed information about the service provider. 【0641】 A "short message service" is a communication method for sending short string messages through a communication device. 【0642】 "Past inquiry history" refers to data that records the content of inquiries that users have made in the past. 【0643】 This invention is a system that efficiently solves users' everyday problems by combining speech recognition technology and database search technology. The core components of the system are a telephone terminal and a server. 【0644】 The user uses a telephone terminal for voice input. This telephone terminal is equipped with advanced speech recognition software that converts the user's voice into text data in real time. In this process, for example, widely available speech recognition software can be applied. The converted text data is transmitted to a server via a communication network. 【0645】 The server searches a pre-configured database for a suitable service provider based on the received text data. Here, it selects the optimal provider by considering factors such as geographical distance and service availability. The database contains detailed information on various service providers, and the server uses a search algorithm to quickly extract the relevant information. 【0646】 The server notifies selected service providers of the user's request via email or short message service. This allows service providers to quickly understand the request and begin responding. 【0647】 Users will be notified of information and progress regarding the selected service provider. This includes details such as the scheduled visit time and work content, allowing users to respond according to their own schedule. 【0648】 As a concrete example, consider a case where a user requests, "I've lost my keys, please find a locksmith." The user's voice input is converted into text data on the terminal, and the server searches a database for a suitable locksmith. The server sends a short message to the selected locksmith, and based on its content, the server arranges for the locksmith to visit the user's address. The user is notified of the locksmith's scheduled visit time, enabling them to resolve the problem efficiently. 【0649】 This system is particularly useful for people unfamiliar with technology and the elderly, and helps significantly reduce inconveniences in daily life. It aims to streamline real-world service delivery without relying on generative AI models. 【0650】 An example of a prompt would be, "My garden trees need trimming. Please find a suitable gardener and schedule an appointment." This prompt allows the system to quickly find a gardener who can provide the appropriate service based on the voice command. 【0651】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0652】 Step 1: 【0653】 Terminal operation: The user inputs a service request by voice into the phone terminal. The input voice is converted into digital audio data by the microphone in the terminal. For example, if the user says, "I've lost my keys, please find a locksmith," that voice will be recorded. 【0654】 Step 2: 【0655】 Terminal operation: The terminal uses speech recognition technology to convert digital speech data into text data. Specifically, speech recognition software analyzes the speech waveform and generates text data of corresponding words and sentences. As a result, text such as "I've lost my keys, please find a locksmith" is generated. 【0656】 Step 3: 【0657】 Terminal operation: Text data converted from speech is sent to the server via the communication network. At this point, the input is the converted text data, and the output is the text data that arrives at the server. 【0658】 Step 4: 【0659】 Server operation: The server parses the received text data and searches the database based on its content. The input is text data, and the output is a list of relevant service providers. For example, it would list registered businesses related to "locksmiths". 【0660】 Step 5: 【0661】 Server Operation: The server selects the optimal service provider by considering geographical distance and service availability. This process processes location information and schedule data for each item in the database and outputs providers that meet the criteria. 【0662】 Step 6: 【0663】 Server Operation: The server notifies selected service providers via email or short message service. The notification includes the user's location and request details, which are output as part of the notification. 【0664】 Step 7: 【0665】 User Feedback: The server notifies the user of the progress of problem resolution and information about the selected service provider. The input is information about the selected provider, and the output provides the user with detailed information such as the scheduled visit time. This allows the user to adjust their schedule accordingly. 【0666】 (Application Example 1) 【0667】 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". 【0668】 There is a need for a system that allows elderly people and users unfamiliar with technology to easily request services such as daily care using only voice commands, and to receive those services quickly and smoothly from the most suitable provider. However, conventional technology has not been able to adequately achieve this. 【0669】 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. 【0670】 In this invention, the server includes a voice recognition means that receives voice input from a user via a telephone terminal and converts the voice input into text data; a data analysis means that analyzes the text data and selects a corresponding provider from a predefined set of information; and a smart device means that includes a function in which the user requests care services by voice input using a smart device and the nearest provider is selected. This makes it possible for elderly people and users unfamiliar with technology to easily request the care services they need. 【0671】 A "telephone terminal" is a device used by users for voice input and is responsible for collecting voice data and transmitting it to a server. 【0672】 "Voice recognition means" refers to a function equipped with technology that converts voice input received via a telephone terminal into text data in real time. 【0673】 "Data analysis means" refers to a function that performs analytical processing based on text data to select the most suitable vendor from a predefined set of information. 【0674】 "Communication means" refers to functions that include communication technology for notifying selected service providers of the user's requests and coordinating the provision of services. 【0675】 "Notification means" refers to methods used to inform users of the details of service provision, and is a means of conveying information to users. 【0676】 "Smart device means" refers to a function that allows users to use devices such as smartphones and tablets to perform voice input and request care services. 【0677】 "Provider" refers to a business or professional that actually provides a service, as identified based on the user's request. 【0678】 The system for realizing this invention utilizes a telephone terminal, a server, and a smart device. The user provides voice input via the telephone terminal or smart device. Speech recognition is performed using speech recognition software such as Google Cloud Speech-to-Text, which converts the speech into text data in real time. This text data is then sent to the server. 【0679】 The server performs data analysis based on the received text data and selects the most suitable vendor by referring to a database such as PostgreSQL. Vendor information includes geographical location, service availability, and past ratings. If necessary, past usage history is utilized to optimize the service delivery method. 【0680】 Using Firebase as the communication method, user requests are notified to selected vendors via email or SMS. This enables quick and smooth service coordination with vendors. 【0681】 Users are notified of service details using Firebase. This includes the scheduled visit time and services provided by the service provider, allowing users to prepare smoothly for receiving the service. For example, if a user requests "I need care services tomorrow morning" via voice, the system will select the most suitable service provider and schedule a visit time. 【0682】 An example of input to the generating AI model is the prompt, "Please describe in detail the system of an application that allows elderly people to request care services by voice using their smartphones." Using this prompt, the AI ​​model can generate a detailed description of the specific system's functions and flow. 【0683】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0684】 Step 1: 【0685】 The user uses a phone or smart device to input voice information. The input consists of the user's request (e.g., "I need care services tomorrow morning"). The device collects this voice data. 【0686】 Step 2: 【0687】 The device converts the collected audio data into text data using speech recognition software such as Google Cloud Speech-to-Text. The input is audio data, and the output is text data. This process converts the user's intent into a format that can be understood by a machine. 【0688】 Step 3: 【0689】 The server receives text data sent from the terminal, consults a database such as PostgreSQL, and selects the most suitable provider. The input is text data describing the user's request, and the output is information about the selected provider. The server queries the database and determines a provider considering geographical conditions and past usage history. 【0690】 Step 4: 【0691】 The server sends notifications to selected vendors via email or SMS using Firebase. Inputs include vendor information and user request details, while output is a notification message. This notification allows vendors to immediately understand the user request and begin preparing to respond. 【0692】 Step 5: 【0693】 The user receives detailed service information from the server. For example, they are notified of the visit time and work content. Input is confirmation information from the service provider, and output is a visit schedule notification to the user. Based on this information, the user can adjust their schedule to ensure they receive the service smoothly. 【0694】 This process makes it easy for elderly people and users unfamiliar with technology to request care services, choose the most suitable provider, and receive services smoothly. 【0695】 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. 【0696】 This invention provides a system that receives voice input from a user via a telephone terminal and analyzes the voice data. This system integrates voice recognition means, data analysis means, and an emotion engine. 【0697】 When a user requests problem resolution from a phone terminal, the terminal uses speech recognition to convert the voice data into text data. This text data serves as the analytical foundation for the entire system. The terminal further analyzes the user's emotions from their voice using an emotion engine. The emotion engine analyzes the tone, tempo, stress patterns, etc., of the voice to evaluate the user's emotional state. 【0698】 The server considers the emotional data obtained by the emotion engine and uses data analysis tools to select the most suitable service provider for the request. The emotional data helps identify the user's needs, such as how urgent they are or whether they are seeking reassurance. The emotional data is also reflected in notifications to service providers, allowing them to respond in a way that is sensitive to the user's emotions. 【0699】 For example, when a user requests an urgent repair via voice, if the emotion engine detects a high stress level, the server will prioritize selecting and notify a provider capable of handling the emergency. This notification will also include information indicating the user's anxiety, allowing the provider to respond accordingly. 【0700】 In this way, users can communicate their problems in detail through the intuitive method of voice, and by utilizing the emotion engine, they can receive more appropriate and prompt service. This system is user-friendly for the elderly and those unfamiliar with technology, creating a safe and secure environment. 【0701】 The following describes the processing flow. 【0702】 Step 1: 【0703】 The user accesses the system via a telephone terminal and inputs the problem they want to solve using voice. The telephone terminal connects to the system using the user's standard voice communication. 【0704】 Step 2: 【0705】 The terminal converts the received audio data into text data using speech recognition technology. This conversion process is performed in real time, allowing the user to proceed immediately. 【0706】 Step 3: 【0707】 The device transfers the converted text data to the emotion engine. The emotion engine analyzes the voice patterns to evaluate the user's emotional state and outputs this as emotion data. 【0708】 Step 4: 【0709】 The server receives text and sentiment data and uses data analysis to identify the appropriate service provider to meet the user's request. The server optimizes response priorities by taking sentiment data into consideration. 【0710】 Step 5: 【0711】 The server sends a notification to the selected service provider via email or SMS containing the user's request details and sentiment data. This allows the provider to prepare a response that is appropriate to the user's sentiment. 【0712】 Step 6: 【0713】 The server will notify the user of the selected service provider's information and the scheduled visit time. This notification will be made via voice or text message. 【0714】 Step 7: 【0715】 Users receive notifications and prepare for their scheduled visit. They can also fine-tune service delivery by responding to the communication as needed. 【0716】 (Example 2) 【0717】 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". 【0718】 Conventional systems simply convert voice input into text data, selecting service providers without considering the user's emotions or urgency, which can lead to an inability to adequately address user needs. Furthermore, the lack of emotional consideration can result in user dissatisfaction. This system aims to solve these problems. 【0719】 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. 【0720】 In this invention, the server includes speech recognition means for converting speech into text data, emotion analysis means for evaluating the user's emotions, and data analysis means for selecting the optimal service provider based on the emotion data and text data. This enables the provision of more appropriate and prompt services that take into account the user's emotions and urgency. 【0721】 A "telephone terminal" is a communication device that receives voice input and transmits it to a system. 【0722】 "Voice input" refers to voice information that a user emits via a telephone terminal. 【0723】 "Text data" refers to the conversion of voice input into written information. 【0724】 "Speech recognition means" refers to technologies and devices that convert speech input into text data. 【0725】 "Emotional analysis methods" refer to technologies and devices that evaluate a user's emotional state from text data or audio data. 【0726】 "Emotional data" refers to information about a user's emotional state obtained through emotion analysis methods. 【0727】 "Data analysis means" refers to technologies and devices that select the optimal service provider based on text data and sentiment data. 【0728】 A "service provider" is a business or organization that provides services to users. 【0729】 "Communication means" refers to methods and technologies for notifying a selected service provider of the user's requests and emotional state. 【0730】 "Notification means" refers to functions or devices used to communicate details of service provision to users. 【0731】 This invention relates to a system that provides more appropriate and timely services by receiving voice input from users using a telephone terminal and analyzing that information. The terminal uses a technology that converts voice to text data as a voice recognition means. The technology envisioned here is an existing voice recognition API. The converted text data functions as the foundation of the entire system and forms the basis for subsequent processing. 【0732】 Next, the device uses emotion analysis tools to evaluate the user's emotions from their text data. This emotion analysis utilizes machine learning models to analyze voice tone, tempo, and stress patterns. Specifically, existing emotion analysis APIs are used. This analysis allows the device to determine how hurried the user is, or what emotions they are experiencing. 【0733】 The analyzed data is sent to the server and used as foundational data for selecting a service provider. The server uses data analysis tools to select the optimal service provider based on text data and sentiment data. Here, the server selects the provider best suited to the user's situation from a predefined set of information to meet the user's needs. In doing so, the selected provider is notified of the request and the user's emotional state, and considerations are taken into account to meet the user's expectations. 【0734】 For example, if a user requests an urgent repair using a telephone terminal, the terminal receives the user's voice, and if the emotion analysis system detects a high stress level, the server can prioritize selecting a provider capable of handling the emergency and send a notification urging a prompt response. 【0735】 An example of a prompt to input into a generative AI model would be, "Please describe the steps to build a system that analyzes voice input from a user and selects the optimal service provider based on sentiment data." This prompt allows the system to efficiently respond to the user's intuitive needs. 【0736】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0737】 Step 1: 【0738】 The device receives voice input from the user. The input is voice information spoken by the user through the device. This voice input is captured by a high-performance microphone, and clear audio data is ensured using noise cancellation technology. The output is the original audio data. 【0739】 Step 2: 【0740】 The device converts the received audio data into text data using speech recognition. The input is the audio data obtained in step 1. A calculation process is performed to convert the audio to text using a speech recognition API. The output is text data representing the content. 【0741】 Step 3: 【0742】 The device uses emotion analysis to evaluate the user's emotional state from text data. The input is the text data obtained in step 2. Using an emotion analysis API, it evaluates the tone, tempo, stress patterns, etc. of the voice to identify the emotional state. The output is emotion data indicating the user's emotional state. 【0743】 Step 4: 【0744】 The terminal sends text data and sentiment data to the server. The input is the text data obtained in step 2 and the sentiment data obtained in step 3. These data are combined to generate a query, which is then sent to the server. The output is the query data sent to the server. 【0745】 Step 5: 【0746】 The server uses data analysis tools to select the optimal service provider based on the query data it receives. The input is the query data sent in step 4. In this process, providers are searched from the database, and the best selection is made according to the user's needs. The output is the information of the selected service provider. 【0747】 Step 6: 【0748】 The server notifies the selected service provider of the user's request and emotional state. The input is the service provider information and emotional data obtained in step 5. The information is transmitted to the provider via electronic communication using the notification method. The output is the notification data received by the provider. 【0749】 Step 7: 【0750】 The terminal notifies the user of details regarding service provision from the provider. The input is the service provision details received from the server. The information is displayed or audibly communicated to the user, informing them of the service provision details. The output is the detailed service provision information received by the user. 【0751】 (Application Example 2) 【0752】 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". 【0753】 In an aging society, care facilities and caregivers are required to quickly understand the emotional state of residents and respond appropriately. However, conventional systems have made it difficult to accurately assess residents' emotions and provide prompt and accurate services based on those assessments. This need is particularly evident in situations where emotionally responsive care is required. 【0754】 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. 【0755】 In this invention, the server includes: speech recognition means that receive voice input from a user via a telephone device and convert the voice input into text data; emotion analysis means that analyze the text data and evaluate the user's emotions; and data analysis means that, taking into account the emotion data obtained by the emotion analysis means, select a corresponding service provider from a predefined set of information. This makes it possible to provide optimal services according to the user's emotional state. 【0756】 A "telephone device" is a communication device used to receive voice input from users. 【0757】 "Speech recognition means" refers to technology that converts speech input into text data. 【0758】 "Text data" refers to data in text format that has been converted from voice input. 【0759】 "Emotion analysis methods" are technologies that evaluate a user's emotions based on text data. 【0760】 "Emotional data" refers to information about a user's emotions obtained through emotion analysis methods. 【0761】 An "information set" is a predefined database or list used to manage service providers. 【0762】 A "service provider" is an individual or organization that provides services in response to the user's request. 【0763】 "Data analysis means" refers to a technology that uses text data and sentiment data to select the most suitable service provider. 【0764】 The server receives voice input from the user via a telephone device. The voice input is converted into text data using speech recognition technology. This process utilizes communication equipment with speech recognition software installed. Existing technologies, such as the Google Speech Recognition API, can be used for speech recognition. 【0765】 Text data is sent to an emotion analysis system, where the user's emotions are evaluated. Emotion analysis considers factors such as voice tone, tempo, and stress patterns, enabling the detection of various emotional states. Software equipped with an emotion analysis engine is used for emotion analysis. The software achieves high accuracy by implementing emotion detection algorithms, for example, utilizing natural language processing technology. 【0766】 The collected emotional data is processed by the server using data analysis tools. The server considers the emotional data and selects the most suitable service provider from a predefined set of information. This enables the rapid and appropriate provision of services based on the user's level of urgency. 【0767】 The communication method transmits the user's requests and emotional state to the selected service provider. Electronic messages and short message services (SMS) can be used for this purpose. In this way, the service provider can understand the user's emotional state and respond flexibly based on that understanding. 【0768】 As a concrete example, if a resident in a nursing home expresses, "I'm feeling a little unwell," via voice, this system will detect a low volume or high stress level and notify the assigned caregiver. This notification includes a summary of the resident's emotional state and statement, enabling a quick and appropriate response. This allows for effective care even in unforeseen circumstances. 【0769】 An example of a prompt message could be, "Generate code for an application that analyzes the user's current emotions and sends a notification to care staff." This would enable the provision of more sophisticated services by utilizing a generative AI model. 【0770】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0771】 Step 1: 【0772】 The server receives voice input from the user via a telephone device. The input is in the form of an audio file, which is then sent to the speech recognition system. Once the audio file has been received, the data is ready to proceed to the next processing step. 【0773】 Step 2: 【0774】 The server uses speech recognition to convert voice input into text data. Specifically, it analyzes the speech and converts it into a corresponding text format. The input is voice data, and the output is text data. This text data is sent to a data analysis system, which is then ready for sentiment analysis. 【0775】 Step 3: 【0776】 A data analysis tool receives text data, and an emotion analysis tool evaluates the user's emotions. The input is text data, and the output is emotion data. Emotion analysis is performed based on the tone, tempo, and content of the voice, and as a result, emotions can be identified. This result is used to select the most suitable service provider. 【0777】 Step 4: 【0778】 The server selects the optimal service provider using data analysis tools, taking sentiment data into consideration. The input consists of sentiment data and a predefined set of information, while the output is information about the selected service provider. The selection is performed to ensure rapid and appropriate service delivery. This information is then sent to the next communication device. 【0779】 Step 5: 【0780】 The terminal uses communication methods to transmit the user's requests and emotional state to the selected service provider. Specifically, notifications are sent via electronic message or short message service (SMS). Inputs include information about the selected service provider and the user's requests and emotional data, while output is the notification content. This allows the service provider to respond appropriately to the user's situation. 【0781】 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. 【0782】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0783】 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 robot 414. 【0784】 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. 【0785】 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. 【0786】 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. 【0787】 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. 【0788】 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. 【0789】 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." 【0790】 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. 【0791】 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. 【0792】 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. 【0793】 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. 【0794】 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. 【0795】 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. 【0796】 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 this memory. 【0797】 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. 【0798】 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. 【0799】 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. 【0800】 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. 【0801】 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. 【0802】 The following is further disclosed regarding the embodiments described above. 【0803】 (Claim 1) 【0804】 A speech recognition means that receives voice input from a user via a telephone terminal and converts said voice input into text data, 【0805】 A data analysis means that analyzes the text data and selects a corresponding service provider from a predefined database, 【0806】 A communication means for notifying the selected service provider of the user's request and coordinating the provision of the service, 【0807】 A notification method for informing users of the details of the service provided, 【0808】 A system that includes this. 【0809】 (Claim 2) 【0810】 The system according to claim 1, wherein the communication means includes a method of notifying the user of the request by sending an email or SMS to a selected service provider. 【0811】 (Claim 3) 【0812】 The system according to claim 1, wherein the data analysis means includes a function to optimize the method of providing services by referring to the user's past inquiry history. 【0813】 "Example 1" 【0814】 (Claim 1) 【0815】 A speech recognition means that receives voice input from a user via a telephone terminal and converts said voice input into text data, 【0816】 A data retrieval means that analyzes the text data and selects the corresponding service provider from a predefined database, 【0817】 A means of communication for selecting and notifying the chosen service provider of the most suitable provider based on geographical distance and service availability, 【0818】 A means of providing information to users regarding the progress of problem resolution and information about the service provider, 【0819】 A system that includes this. 【0820】 (Claim 2) 【0821】 The system according to claim 1, wherein the communication means includes a method of notifying the user of the request by sending an email or short message service to a selected service provider. 【0822】 (Claim 3) 【0823】 The system according to claim 1, wherein the data retrieval means includes a function to optimize service provision by referring to the user's past inquiry history. 【0824】 "Application Example 1" 【0825】 (Claim 1) 【0826】 A speech recognition means that receives voice input from a user via a telephone terminal and converts said voice input into text data, 【0827】 A data analysis means that analyzes the text data and selects the corresponding vendor from a predefined set of information, 【0828】 A communication means for notifying the selected service provider of the user's request and coordinating the provision of services, 【0829】 A notification method for informing users of the details of the service provided, 【0830】 A smart device system that includes a function allowing users to request care services via voice input using a smart device, and which selects the nearest service provider, 【0831】 A system that includes this. 【0832】 (Claim 2) 【0833】 The system according to claim 1, wherein the communication means includes a method of notifying the user of the request by sending an email or short message service to a selected provider. 【0834】 (Claim 3) 【0835】 The system according to claim 1, wherein the data analysis means includes a function to optimize the method of providing services by referring to the user's past inquiry history. 【0836】 "Example 2 of combining an emotion engine" 【0837】 (Claim 1) 【0838】 A speech recognition means that receives voice input from a user via a telephone terminal and converts said voice input into text data, 【0839】 A sentiment analysis means for analyzing the text data and evaluating the user's emotions, 【0840】 A data analysis means that selects the optimal service provider from a predefined set of information based on the evaluated sentiment data and text data, 【0841】 A communication means for notifying the selected service provider of the user's requests and emotional state, and for coordinating the provision of services, 【0842】 A notification method for informing users of the details of the service provided, 【0843】 A system that includes this. 【0844】 (Claim 2) 【0845】 The system according to claim 1, wherein the communication means includes a method for notifying a selected service provider of the user's request and emotional state by an electronic communication method. 【0846】 (Claim 3) 【0847】 The system according to claim 1, wherein the emotion analysis means includes a function to analyze the speed, volume, and stress pattern of voice data and to identify the user's emotional state. 【0848】 "Application example 2 when combining with an emotional engine" 【0849】 (Claim 1) 【0850】 A speech recognition means that receives voice input from a user via a telephone device and converts said voice input into text data, 【0851】 A sentiment analysis means for analyzing the text data and evaluating the user's emotions, 【0852】 A data analysis means that selects a corresponding service provider from a predefined set of information, taking into account the emotional data obtained by the emotional analysis means, 【0853】 A communication means for notifying the selected service provider of the user's requests and emotional state, and for coordinating the provision of services, 【0854】 A notification method for informing users of the details of the service provided, 【0855】 A system that includes this. 【0856】 (Claim 2) 【0857】 The system according to claim 1, wherein the communication means includes a method of notifying the user of the user's request by sending an electronic message or a short message service to a selected service provider. 【0858】 (Claim 3) 【0859】 The system according to claim 1, wherein the data analysis means includes a function to optimize the method of providing services by referring to the user's past inquiry history and sentiment data. [Explanation of Symbols] 【0860】 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 speech recognition means that receives voice input from a user via a telephone terminal and converts said voice input into text data, A data analysis means that analyzes the text data and selects a corresponding service provider from a predefined database, A communication means for notifying the selected service provider of the user's request and coordinating the provision of the service, A notification method for informing users of the details of the service provided, A system that includes this. [Claim 2] The system according to claim 1, wherein the communication means includes a method of notifying the user of the user's request by sending an email or SMS to a selected service provider. [Claim 3] The system according to claim 1, wherein the data analysis means includes a function to optimize the method of providing services by referring to the user's past inquiry history.

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