system

Abstract

We provide the system. [Solution] A means of automatically providing appropriate information or guidance on procedures by analyzing user inquiries using natural language processing, A means of automatically generating the documents necessary for a user's application through document generation, A means of analyzing documents and identification photos using image recognition to verify their authenticity, A means of analyzing usage data collected through data analysis and feeding it back into service improvement, A system that integrates these elements and includes means to automate counter services.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a persona chatbot control method performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 The window operations of local governments are overloaded due to inquiries and application procedures from many residents, so prompt and accurate responses are required. However, currently, due to constraints on human resources and the complexity of operations, responses are often delayed, which impairs the convenience of residents. Furthermore, while aiming to improve the efficiency of operations, it has become an important issue to improve the quality of resident services. 【Means for Solving the Problems】 【0005】 This invention solves the problem by automating counter services through a system that integrates natural language processing, document generation, image recognition, and data analysis technologies. Specifically, it involves an AI agent analyzing inquiries and providing appropriate procedural guidance, automatically generating and electronically providing application documents, and verifying documents using image recognition. Furthermore, data analysis is used to understand system usage and continuously improve services. In this way, it is possible to improve the provision of services to residents while making human resources more efficient. 【0006】 "Natural language processing" is a technology that enables computers to understand, analyze, and generate human language, and is used to automate user interaction. 【0007】 "Document generation" is a technology that uses algorithms to automatically create documents with a predetermined format and content, and is used for the automatic creation of application forms and certificates. 【0008】 "Image recognition" is a technology in which computers analyze image data and extract specific information, and it is used for verifying documents and identification photos. 【0009】 "Data analysis" is a technique that uses collected data to extract patterns, reveal trends and relationships, and is a process for gaining insights for service improvement. 【0010】 "Counter services" refer to the work of receiving and handling various procedures and services provided by local governments and organizations to residents and users. 【0011】 An "AI agent" is a program that uses artificial intelligence technology to support information exchange and decision-making, enabling user interaction and automation of tasks. [Brief explanation of the drawing] 【0012】 [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] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0013】 Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings. 【0014】 First, the terms used in the following description will be explained. 【0015】 In the following embodiments, the labeled 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. 【0016】 In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0017】 In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0018】 In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like. 【0019】 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." 【0020】 [First Embodiment] 【0021】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0022】 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. 【0023】 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). 【0024】 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. 【0025】 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. 【0026】 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. 【0027】 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. 【0028】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0029】 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. 【0030】 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. 【0031】 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. 【0032】 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". 【0033】 This invention provides an embodiment for automating and streamlining local government counter services by using a system that combines AI technology. This system operates by integrating modules for natural language processing, document generation, image recognition, and data analysis. 【0034】 First, users make inquiries or requests for applications via text or voice through their terminal. For example, if a user wants to obtain a resident registration certificate, they will input or voice instructions for the relevant information into the terminal. This user input is then transmitted to the server via the network. 【0035】 The server uses a natural language processing engine to analyze the user's intent and understand the content of the inquiry. Based on this analysis, the server extracts the necessary information and determines the next procedural step. The analysis results are sent to the terminal, which then displays appropriate guidance or instructions to the user. 【0036】 Next, the server uses a document generation module to automatically create the documents required for the user's application. These documents are sent to the terminal for the user to review. Furthermore, the server uses an image recognition module to verify that supplementary documents and identification photos are in the correct format. 【0037】 Once all procedures are complete, the server registers the results in the database. The procedural data collected here is analyzed by a data analysis module and used to improve services and discover new insights. 【0038】 As a concrete example, in the process of obtaining a resident registration certificate, the user enters the necessary information, and the server automatically generates the application documents. After the accuracy of the generated documents is verified, the user is presented with the options of receiving them electronically or by mail. Finally, the user can receive the resident registration certificate using the method of their choice. 【0039】 This invention will enable users to access municipal services 24 hours a day, significantly reducing the workload of local governments. 【0040】 The following describes the processing flow. 【0041】 Step 1: 【0042】 The device receives user inquiries and application requests via text or voice and collects initial data. This data provides clues to understanding the user's intent. 【0043】 Step 2: 【0044】 The terminal transfers the received user data to the server. The server activates a natural language processing engine to analyze the user's intent. This allows it to understand the inquiry and identify the necessary steps to take. 【0045】 Step 3: 【0046】 Based on the analysis results, the server determines the next action required of the user. This information is sent to the terminal, which then displays guidance and instructions to the user. 【0047】 Step 4: 【0048】 The user enters the necessary information (such as name and address) according to the terminal's instructions. The terminal then sends this information back to the server, signaling for the next step. 【0049】 Step 5: 【0050】 The server uses a document generation module to automatically generate the documents required for the user's application. The generated documents are then transferred to the terminal, and the user is asked to confirm them. 【0051】 Step 6: 【0052】 The server uses an image recognition module to verify the relevant documents and identification photos submitted by the user. This process determines the accuracy and formatting of the documents. 【0053】 Step 7: 【0054】 After the procedure is complete, the server registers the results in the database. A completion message is sent to the user via the terminal, and the user selects how they want to receive the documents. 【0055】 Step 8: 【0056】 The server uses a data analysis module to analyze the collected procedural data and understand system usage and user behavior patterns. The analysis results are used to improve the service. 【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】 Local government counter services require a great deal of time and effort, making efficiency improvements essential. Traditional methods have resulted in long waiting times for users and forced staff to manually process many procedures. Furthermore, accurately responding to diverse user requests and preventing errors presents significant challenges. 【0060】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0061】 In this invention, the server includes means for analyzing user input using natural language processing to understand the user's intent and determine appropriate procedural steps; means for automatically generating the documents necessary for the user's application using a document creation function; and means for verifying supplementary documents and photographs using image processing technology to confirm the accuracy of their format. This makes it possible to streamline the counter services of local governments and significantly reduce the burden on users and staff. 【0062】 "Natural language processing" is a technology that analyzes text data entered by users and understands its content. 【0063】 "Document creation function" refers to technology that automatically generates documents according to the user's requirements based on pre-set templates. 【0064】 "Image processing technology" is a technique that analyzes image data to verify whether supplementary documents and photographs conform to a specified format. 【0065】 "Data analysis functionality" refers to the technology that analyzes collected data and uses the results to improve services and discover new insights. 【0066】 A "server" is a computer system that provides various functions and processes data over a network. 【0067】 A "network" is a system that connects multiple computers to transmit information and share data. 【0068】 An "interface" refers to the user interface or method used to interact with a system. 【0069】 To implement the invention, a system combining the following technologies will be constructed. First, the user uses an input device to input questions or application details in natural language. A registration terminal receives the user's input as voice or text and sends that information to a server. 【0070】 The server has various processing modules, including a natural language processing engine at its core. This engine analyzes user input and understands its intent. Based on the understood intent, the server determines the appropriate procedural steps. For example, if a user requests "Please issue a resident registration certificate," the server uses natural language processing to understand the request and begins processing for issuing the certificate. 【0071】 Next, the server has a document generation function and automatically generates the necessary documents. During this process, data is inserted based on a template, and the document is created in the format required by the user. The generated document is then sent to the terminal via the network, allowing the user to view its contents on the terminal. 【0072】 Furthermore, the server integrates image processing technology to verify supplementary documents and identification photos uploaded by users. This ensures the accuracy of the documents and supports the smooth progress of the application process. 【0073】 The results of completed procedures are recorded in a database. The recorded data is analyzed by data analysis functions and used as a means to gain insights for service improvement and operational efficiency. 【0074】 As a concrete example, by inputting the prompt "Please tell me the specific steps to automate the procedure for issuing resident registration certificates" into the AI ​​model, it is possible to obtain detailed instructions about the automation process. 【0075】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0076】 Step 1: 【0077】 The user enters their request through a terminal. For example, they might enter "Please issue a resident registration certificate" as text or voice. This input data is sent from the terminal to the server. The server receives the input and prepares for the next analysis step. 【0078】 Step 2: 【0079】 The server uses a natural language processing engine to analyze the user's request. It performs morphological analysis on the input text and grasps its meaning to understand the user's intent. As a result of the analysis, it recognizes that a request for a resident registration certificate has been made and identifies the necessary procedural steps. 【0080】 Step 3: 【0081】 The server uses its document creation function to automatically generate the application documents required for issuing a resident registration certificate. By filling in the data entered into the template, it generates accurate documents. These generated documents are transmitted to the terminal via the network and presented to the user. 【0082】 Step 4: 【0083】 Users review the documents generated through their device and request corrections if necessary. The process also progresses by uploading supplementary documents or photos. This uploaded information is also transferred to the server. 【0084】 Step 5: 【0085】 The server uses image processing technology to analyze supplementary documents and photos submitted by the user. It automatically verifies the image format and checks whether the necessary information is displayed correctly. Based on the results of this verification, the legitimacy of the documents is confirmed. 【0086】 Step 6: 【0087】 Once the procedure is complete, the server records the results in a database. The stored data is later analyzed by data analysis functions, contributing to increased operational efficiency and improved services. This process achieves automation and optimization of counter services. 【0088】 (Application Example 1) 【0089】 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." 【0090】 In recent years, there has been a growing demand for increased efficiency in counter services provided by local governments and other organizations. However, challenges remain, as these services still require the creation of numerous paper documents and face-to-face procedures, resulting in enormous time and effort. In particular, users often experience inconvenience because they cannot access services outside of business hours. To address this, it is desirable to introduce fully automated systems to reduce the workload and enable users to access services 24 hours a day. 【0091】 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. 【0092】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance, means for automatically generating documents necessary for the user's application using document generation, and means for analyzing documents and identification images using image recognition and verifying their authenticity. This streamlines counter services and enables users to access municipal services online 24 hours a day. 【0093】 "Natural language processing" is a technology that analyzes audio and text information provided by users to understand their intent. 【0094】 "Document generation" is a technology that automatically creates necessary documents based on the user's application details. 【0095】 "Image recognition" is a technology that analyzes digital images to verify the format of documents and the authenticity of identification images. 【0096】 "Data analysis" is a technique that statistically analyzes collected user data to improve services and provide new perspectives. 【0097】 An "information processing device" is a computer or similar device that receives instructions and information from users as input and performs various processing tasks. 【0098】 "Dialogue function" refers to an interactive function that enables interaction with the user and provides appropriate support for operation. 【0099】 "Print media" refers to the method of providing a generated document by printing it on physical paper. 【0100】 The system for realizing this invention consists of an information processing device (server) and a user terminal that work in conjunction. The user inputs the procedures for counter services via voice or text through the terminal. This information is analyzed using natural language processing technology to understand the user's intent. 【0101】 The server is built using Python and performs analysis using natural language processing libraries (e.g., spaCy). Required documents are automatically generated using document generation technology and sent electronically from the server to the user. Furthermore, image recognition technology (e.g., OpenCV) is used to verify the authenticity of documents and identification images uploaded by the user. 【0102】 The terminal is a device that receives user input and displays instructions from the server; smartphones and tablets are often used for this purpose. Users can perform procedures on the terminal, review generated documents, and print them out as needed. Furthermore, user feedback data is collected and analyzed using data analysis technology and used to improve the service. 【0103】 To give a concrete example, a user who wishes to change their address on their resident registration would use their smartphone to voice-input "I want to change my address on my resident registration." The system would then analyze this input, display instructions for the necessary procedures, and automatically generate the relevant documents. 【0104】 An example of a prompt message for a generating AI model might be, "Please suggest the steps to automatically process a user's change of address registration." 【0105】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0106】 Step 1: 【0107】 Users input their inquiries using their smartphones or tablets via voice or text. This input data is sent to the server via a Web API. Examples of input data include voice or text data such as "I want to change my address on my resident registration." 【0108】 Step 2: 【0109】 The server analyzes the received data using a natural language processing library (e.g., spaCy) to understand the user's intent. This process processes the input as text data and determines what procedures the user's query requires. The output is a list of requirements necessary for those procedures. 【0110】 Step 3: 【0111】 Based on the generated requirements list, the server uses a document generation module to automatically create the necessary application documents. Here, the information entered by the user is output as a PDF document, which is then used for the next process. 【0112】 Step 4: 【0113】 The server uses an image recognition module (e.g., OpenCV) to verify the format and content of supplementary documents and certification images uploaded by the user. The input is an image file uploaded by the user, and the server determines whether the content and format meet the requirements. The output is data containing the verification results. 【0114】 Step 5: 【0115】 The server integrates the verified application documents and images and provides them to the user electronically. A digital link or email is sent for user review on their device, allowing the user to perform a final confirmation. The output is a confirmation screen of the application displayed on the user's screen. 【0116】 Step 6: 【0117】 The user reviews the provided documents, makes any necessary corrections or confirmations, and then submits the final application. This process officially registers the application data, based on the user's selections, to the server. 【0118】 Step 7: 【0119】 The server saves the final application data to a database, where it is analyzed by a data analysis module. The feedback collected through this analysis is used to improve service quality. The input is the application data itself, and the output generates improvement suggestions and new insights. 【0120】 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. 【0121】 This invention is a system that utilizes AI technology to streamline counter services at local government offices. This system integrates natural language processing, document generation, image recognition, data analysis, and sentiment recognition engines to respond to user inquiries and automate necessary procedures. 【0122】 Specifically, the terminal receives inquiries and applications from users via text or voice. This information is analyzed by a natural language processing engine, allowing the server to understand the user's intent. For example, if a user requests to "issue a resident registration certificate," the system understands this request and provides guidance on the necessary procedures. The server sends the analysis results to the terminal and displays the appropriate procedure guidance. 【0123】 Furthermore, the server utilizes a document generation engine to automatically create the necessary application documents and send them to the terminal. Based on the information entered by the user, the server uses an image recognition engine to verify the authenticity of the documents and identification photos. This ensures the reliability and efficiency of the procedure. 【0124】 The emotion recognition engine also plays a crucial role. This engine analyzes the user's emotional state from their voice and text, and uses the emotional data obtained by the server to adjust the response content and tone accordingly. For example, if the user is feeling dissatisfied or anxious, the server will instruct the system to attempt to resolve the problem in a calm tone. 【0125】 Finally, once the procedure is complete, the server records the results in a database. A data analysis engine analyzes this history, extracts areas for service improvement, and uses it as feedback. For example, analyzing sentiment data can demonstrate how the user experience can be improved. 【0126】 This system will enable 24-hour service at service counters, improving user convenience and satisfaction. Furthermore, it is expected to significantly improve the operational efficiency of local governments. 【0127】 The following describes the processing flow. 【0128】 Step 1: 【0129】 The terminal receives user inquiries and applications via text or voice. This initial data serves as the starting point for all processing within the system. Users enter their name, address, and desired procedure. 【0130】 Step 2: 【0131】 The terminal transfers the received data to the server. The server activates a natural language processing engine to analyze the user's intent from their input and identify the necessary procedures. For example, it might recognize a request for a resident registration certificate. 【0132】 Step 3: 【0133】 The server sends necessary information and procedural guidance to the user's terminal based on the analysis. The terminal displays this information to the user and prompts them to take the next action. The user enters any additional information or makes any selections as needed. 【0134】 Step 4: 【0135】 The server uses a document generation module to automatically generate the necessary documents for the procedures submitted by the user. The generated documents are sent to the terminal for the user to review. 【0136】 Step 5: 【0137】 The server uses an image recognition module to verify the documents and identification photos provided by the user. Image recognition technology ensures that the documents are submitted in the correct format. 【0138】 Step 6: 【0139】 The server operates an emotion recognition engine to identify emotions from user input and speech. Using this emotion data, the server adjusts the response content and tone to optimize the user experience. 【0140】 Step 7: 【0141】 After the procedure is complete, the server registers the results in the database and sends a completion notification to the user via the terminal. The user then selects how to receive the documents, and the process is finished. 【0142】 Step 8: 【0143】 The server analyzes procedural data using a data analysis engine and identifies areas for service improvement based on sentiment data and other factors. This enables continuous improvement of the system. 【0144】 (Example 2) 【0145】 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". 【0146】 In modern information processing operations, a significant amount of time and effort is spent responding to user inquiries, generating necessary documents, and verifying their validity. Furthermore, flexible responses that take into account the emotional state of individual users are required, but achieving this is difficult. Additionally, improving the quality of service requires effective analysis and feedback using user data, but existing systems struggle to adequately perform this. 【0147】 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. 【0148】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance; means for automatically generating documents necessary for the user's application using document generation; means for analyzing documents and identification photos using image recognition and verifying their authenticity; means for analyzing the user's emotional state using emotion recognition and adjusting the response content and tone; and means for analyzing collected usage data through data analysis and feeding it back into service improvement. This enables increased efficiency and improved quality of information processing operations, as well as an improved user experience. 【0149】 "Natural language processing" is a technology that analyzes user inquiries and enables machines to understand their intent. 【0150】 "Document generation" is a technology that automatically creates necessary documents based on user requests. 【0151】 "Image recognition" is a technology that analyzes image data from documents and photographs to verify the validity of their content and their suitability to requirements. 【0152】 "Emotion recognition" is a technology that reads the emotional state of a user from their voice or text and adjusts the system's response and tone accordingly. 【0153】 "Data analysis" is a technique that involves thoroughly analyzing collected usage data, extracting useful information from it, and utilizing it to improve services. 【0154】 "Information processing operations" refers to a series of business activities, including responding to inquiries and applications from users, and generating and verifying documents. 【0155】 A "server" is a central computing device used to perform information processing tasks. 【0156】 This invention is a system designed to improve the efficiency of information processing operations for local governments and other organizations. This system integrates multiple technologies and can meet the advanced needs of users. 【0157】 First, the terminal receives a voice or text inquiry from the user. The received information is analyzed by a natural language processing engine via the server. This engine understands the user's intent and identifies the appropriate action within the system. 【0158】 Next, the server uses a document generation engine to automatically generate the necessary documents in response to the user's inquiry. These documents are sent to the terminal and provided to the user electronically, or mailed upon request. 【0159】 When a user uploads documents or passport photos from their device, the server's image recognition engine analyzes them to verify the data's validity. The degree to which the image meets the requirements is also evaluated during this process. 【0160】 Furthermore, the system is equipped with an emotion recognition engine that can analyze the user's emotional state from voice and text. Based on this information, the server dynamically adjusts the tone and content of its responses, providing an environment where users can make inquiries with peace of mind. 【0161】 Ultimately, the server uses a data analysis engine to analyze data obtained from user interactions and feeds the results back into service improvements. The introduction of this system is expected to improve operational efficiency and enhance the user experience. 【0162】 For example, if a user sends a text message to their device saying "I want to proceed with moving procedures," that information can be analyzed by a natural language processing engine, and the server can then use a document generation engine to create and provide instructions on the necessary moving procedures. 【0163】 An example of a prompt message would be, "I would like to change my resident registration due to moving. Please tell me the list of required documents and how to submit them." 【0164】 This system will significantly improve the efficiency of information processing operations for local governments and other organizations, leading to increased user convenience and satisfaction. 【0165】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0166】 Step 1: 【0167】 The terminal receives user inquiries in either voice or text format. This input data is then prepared for transmission to a natural language processing engine. Specifically, this process includes speech recognition, which converts the voice data into text. 【0168】 Step 2: 【0169】 The server receives query data sent from the terminal and performs analysis via a natural language processing engine. This analysis process involves data processing to identify the user's intent and requirements. The output identifies the procedures and information the user desires. 【0170】 Step 3: 【0171】 Based on the analysis results, the server uses a document generation engine to automatically generate the necessary documents and procedural instructions that match the user's requests. These generated documents are then output and prepared for transmission to the terminal. 【0172】 Step 4: 【0173】 The terminal displays procedural instructions and generated documents sent from the server to the user. Further information can be provided by using an input device to allow the user to review the documents and enter additional information as needed. 【0174】 Step 5: 【0175】 Users upload necessary documents and passport photos to the system via their terminal. This is then passed to the image recognition engine as new input data, and the authenticity of the documents and image data is verified. 【0176】 Step 6: 【0177】 The server uses an emotion recognition engine to analyze the user's emotional state from their voice and text. This analysis helps to adjust the response tone to improve the user experience. Specifically, this includes responding in a calmer tone to reduce user anxiety. 【0178】 Step 7: 【0179】 After all procedures are completed, the server analyzes the accumulated data using a data analysis engine. This data processing extracts valuable insights for service improvement, which are then fed back into future service provision. 【0180】 In this way, the system achieves increased efficiency and improved quality in information processing tasks through multi-stage processing. 【0181】 (Application Example 2) 【0182】 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". 【0183】 Modern customer service in physical stores relies heavily on human interaction, leading to problems such as inconsistent service and delays. Furthermore, the inability to adequately consider customer emotions can result in decreased satisfaction. While there is a need for increased efficiency in store operations and reduced personnel costs, current systems fail to adequately address these challenges. 【0184】 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. 【0185】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance; means for automatically generating documents necessary for the user's application using document generation; means for analyzing documents and identification photos using image recognition and verifying their authenticity; means for analyzing the user's emotional state using emotion recognition and adjusting the response content; and means for transcribing user speech in real time and providing inventory information and product descriptions. This enables improved customer service and increased operational efficiency in physical stores. 【0186】 "Natural language processing" is a technology that enables computers to understand and analyze human language. 【0187】 "Document generation" is a technology that automatically creates documents and information based on text data using a specific algorithm. 【0188】 "Image recognition" is a technology that identifies specific objects within digital images and analyzes their content. 【0189】 "Emotion recognition" is a technology that analyzes a user's emotional state based on their voice or text and responds appropriately. 【0190】 "Real-time processing" is a technology that instantly analyzes user input and provides a rapid response. 【0191】 A "physical store" refers to a real-world store facility that directly provides goods or services to customers. 【0192】 "Customer service" refers to the support and assistance that users receive while using a product or service. 【0193】 "Business efficiency improvement" means improving business processes to reduce time and costs while increasing results. 【0194】 The system implementing this invention mainly consists of a server and a terminal. The server analyzes user input using natural language processing technology and generates appropriate information and procedural guidance. NVIDIA Clara NLP is utilized for this processing. User voice input is received by the terminal and converted to text in real time using the Google® Cloud Speech-to-Text API. This text data is then sent to the server and analyzed using the aforementioned NLP technology. 【0195】 Furthermore, the server automatically generates the necessary documents using document generation technology. The generated documents can be provided to the user electronically or sent via a specified method. Google Cloud Vision API is used for image recognition to check the authenticity of the documents and images used in the application. This ensures the reliability of the procedure. 【0196】 Furthermore, IBM Watson® sentiment analysis is used for emotion recognition, analyzing the user's emotional state. Based on the analysis results, the server can adjust the content and tone of its response to provide more appropriate customer service. 【0197】 AWS® S3 is used for data storage and analysis. This data is used as feedback for service improvement, contributing to overall service enhancement. The collaboration between servers and terminals allows users to receive efficient and flexible support. 【0198】 For example, if a user speaks "Tell me about the new sale items" into their smartphone while in a store, the device converts the speech into text, and the server understands the request through natural language processing. The server then provides relevant sale information and guides the user in real time. 【0199】 An example of a prompt message would be, "Tell the AI ​​assistant 'Tell me about new sale items' to test the quality of the information the AI ​​provides and the speed of its response." 【0200】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0201】 Step 1: 【0202】 The user uses a device to input voice data. The device converts the user's voice into text data in real time using the Google Cloud Speech-to-Text API. The input for this process is voice, and the output is text data. 【0203】 Step 2: 【0204】 The server performs natural language processing on the text data received from the terminal using NVIDIA Clara NLP. This analyzes the user's intent and understands their specific request. The input to this process is text data, and the output is data indicating the user's request. 【0205】 Step 3: 【0206】 The server retrieves the necessary information from the database based on the request. It also automatically generates documents as needed using a document generation engine. The input to this process is the user's request, and the output is the information and documents provided to the user. 【0207】 Step 4: 【0208】 If optional, the server uses the Google Cloud Vision API to recognize image data received from the user and verify the authenticity of documents and images. The input to this process is image data, and the output is the result of the authenticity verification. 【0209】 Step 5: 【0210】 The server uses IBM Watson sentiment analysis to analyze the sentiment of text data. Based on this, it adjusts the tone and content of the response. The input to this process is the text data, and the output is the adjusted response data. 【0211】 Step 6: 【0212】 The server stores the obtained data in AWS S3 and analyzes it for future service improvements. The input to this process is the data obtained at each processing step, and the output is feedback data for service improvement. 【0213】 Step 7: 【0214】 Information and documents created by the server are provided to the user via the terminal. Store information and product guides are also displayed to the user in real time. The input for this process is the information to be provided, and the output is the final information displayed on the user's terminal. 【0215】 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. 【0216】 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. 【0217】 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. 【0218】 [Second Embodiment] 【0219】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0220】 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. 【0221】 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). 【0222】 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. 【0223】 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. 【0224】 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). 【0225】 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. 【0226】 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. 【0227】 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. 【0228】 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. 【0229】 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. 【0230】 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". 【0231】 This invention provides an embodiment for automating and streamlining local government counter services by using a system that combines AI technology. This system operates by integrating modules for natural language processing, document generation, image recognition, and data analysis. 【0232】 First, users make inquiries or requests for applications via text or voice through their terminal. For example, if a user wants to obtain a resident registration certificate, they will input or voice instructions for the relevant information into the terminal. This user input is then transmitted to the server via the network. 【0233】 The server uses a natural language processing engine to analyze the user's intent and understand the content of the inquiry. Based on this analysis, the server extracts the necessary information and determines the next procedural step. The analysis results are sent to the terminal, which then displays appropriate guidance or instructions to the user. 【0234】 Next, the server uses a document generation module to automatically create the documents required for the user's application. These documents are sent to the terminal for the user to review. Furthermore, the server uses an image recognition module to verify that supplementary documents and identification photos are in the correct format. 【0235】 Once all procedures are complete, the server registers the results in the database. The procedural data collected here is analyzed by a data analysis module and used to improve services and discover new insights. 【0236】 As a concrete example, in the process of obtaining a resident registration certificate, the user enters the necessary information, and the server automatically generates the application documents. After the accuracy of the generated documents is verified, the user is presented with the options of receiving them electronically or by mail. Finally, the user can receive the resident registration certificate using the method of their choice. 【0237】 This invention will enable users to access municipal services 24 hours a day, significantly reducing the workload of local governments. 【0238】 The following describes the processing flow. 【0239】 Step 1: 【0240】 The device receives user inquiries and application requests via text or voice and collects initial data. This data provides clues to understanding the user's intent. 【0241】 Step 2: 【0242】 The terminal transfers the received user data to the server. The server activates a natural language processing engine to analyze the user's intent. This allows it to understand the inquiry and identify the necessary steps to take. 【0243】 Step 3: 【0244】 Based on the analysis results, the server determines the next action required of the user. This information is sent to the terminal, which then displays guidance and instructions to the user. 【0245】 Step 4: 【0246】 The user enters the necessary information (such as name and address) according to the terminal's instructions. The terminal then sends this information back to the server, signaling for the next step. 【0247】 Step 5: 【0248】 The server uses a document generation module to automatically generate the documents required for the user's application. The generated documents are then transferred to the terminal, and the user is asked to confirm them. 【0249】 Step 6: 【0250】 The server uses an image recognition module to verify the relevant documents and identification photos submitted by the user. This process determines the accuracy and formatting of the documents. 【0251】 Step 7: 【0252】 After the procedure is complete, the server registers the results in the database. A completion message is sent to the user via the terminal, and the user selects how they want to receive the documents. 【0253】 Step 8: 【0254】 The server uses a data analysis module to analyze the collected procedural data and understand system usage and user behavior patterns. The analysis results are used to improve the service. 【0255】 (Example 1) 【0256】 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". 【0257】 Local government counter services require a great deal of time and effort, making efficiency improvements essential. Traditional methods have resulted in long waiting times for users and forced staff to manually process many procedures. Furthermore, accurately responding to diverse user requests and preventing errors presents significant challenges. 【0258】 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. 【0259】 In this invention, the server includes means for analyzing user input using natural language processing to understand the user's intent and determine appropriate procedural steps; means for automatically generating the documents necessary for the user's application using a document creation function; and means for verifying supplementary documents and photographs using image processing technology to confirm the accuracy of their format. This makes it possible to streamline the counter services of local governments and significantly reduce the burden on users and staff. 【0260】 "Natural language processing" is a technology that analyzes text data entered by users and understands its content. 【0261】 "Document creation function" refers to technology that automatically generates documents according to the user's requirements based on pre-set templates. 【0262】 "Image processing technology" is a technique that analyzes image data to verify whether supplementary documents and photographs conform to a specified format. 【0263】 "Data analysis functionality" refers to the technology that analyzes collected data and uses the results to improve services and discover new insights. 【0264】 A "server" is a computer system that provides various functions and processes data over a network. 【0265】 A "network" is a system that connects multiple computers to transmit information and share data. 【0266】 An "interface" refers to the user interface or method used to interact with a system. 【0267】 To implement the invention, a system combining the following technologies will be constructed. First, the user uses an input device to input questions or application details in natural language. A registration terminal receives the user's input as voice or text and sends that information to a server. 【0268】 The server has various processing modules, including a natural language processing engine at its core. This engine analyzes user input and understands its intent. Based on the understood intent, the server determines the appropriate procedural steps. For example, if a user requests "Please issue a resident registration certificate," the server uses natural language processing to understand the request and begins processing for issuing the certificate. 【0269】 Next, the server has a document generation function and automatically generates the necessary documents. During this process, data is inserted based on a template, and the document is created in the format required by the user. The generated document is then sent to the terminal via the network, allowing the user to view its contents on the terminal. 【0270】 Furthermore, the server integrates image processing technology to verify supplementary documents and identification photos uploaded by users. This ensures the accuracy of the documents and supports the smooth progress of the application process. 【0271】 The results of completed procedures are recorded in a database. The recorded data is analyzed by data analysis functions and used as a means to gain insights for service improvement and operational efficiency. 【0272】 As a concrete example, by inputting the prompt "Please tell me the specific steps to automate the procedure for issuing resident registration certificates" into the AI ​​model, it is possible to obtain detailed instructions about the automation process. 【0273】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0274】 Step 1: 【0275】 The user enters their request through a terminal. For example, they might enter "Please issue a resident registration certificate" as text or voice. This input data is sent from the terminal to the server. The server receives the input and prepares for the next analysis step. 【0276】 Step 2: 【0277】 The server uses a natural language processing engine to analyze the user's request. It performs morphological analysis on the input text and grasps its meaning to understand the user's intent. As a result of the analysis, it recognizes that a request for a resident registration certificate has been made and identifies the necessary procedural steps. 【0278】 Step 3: 【0279】 The server uses its document creation function to automatically generate the application documents required for issuing a resident registration certificate. By filling in the data entered into the template, it generates accurate documents. These generated documents are transmitted to the terminal via the network and presented to the user. 【0280】 Step 4: 【0281】 The user checks the documents generated through the terminal and makes a correction request if necessary. Also, the procedure progresses by uploading supplementary documents or photos. This upload information is also transferred to the server. 【0282】 Step 5: 【0283】 The server analyzes the supplementary documents and photos sent by the user using image processing technology. It automatically checks the verification of the image format and whether the necessary information is correctly displayed. Based on this verification result, the legitimacy is confirmed. 【0284】 Step 6: 【0285】 When the procedure is completed, the server records the procedure result in the database. The saved data is later analyzed by the data analysis function, contributing to the improvement of business efficiency and services. Through this process, the automation and optimization of counter services are achieved. 【0286】 (Application Example 1) 【0287】 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". 【0288】 In recent years, there has been a demand for the improvement of counter services provided by local governments and the like. However, there is still a problem that a large amount of paperwork and face-to-face procedures are required, which is extremely time-consuming and labor-intensive. In particular, users may feel inconvenienced because they cannot use the service outside business hours. In response, it is desired to introduce a fully automated system to reduce the workload and enable users to use the service 24 hours a day. 【0289】 The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means. 【0290】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance, means for automatically generating documents necessary for the user's application using document generation, and means for analyzing documents and identification images using image recognition and verifying their authenticity. This streamlines counter services and enables users to access municipal services online 24 hours a day. 【0291】 "Natural language processing" is a technology that analyzes audio and text information provided by users to understand their intent. 【0292】 "Document generation" is a technology that automatically creates necessary documents based on the user's application details. 【0293】 "Image recognition" is a technology that analyzes digital images to verify the format of documents and the authenticity of identification images. 【0294】 "Data analysis" is a technique that statistically analyzes collected user data to improve services and provide new perspectives. 【0295】 An "information processing device" is a computer or similar device that receives instructions and information from users as input and performs various processing tasks. 【0296】 "Dialogue function" refers to an interactive function that enables interaction with the user and provides appropriate support for operation. 【0297】 "Print media" refers to the method of providing a generated document by printing it on physical paper. 【0298】 The system for realizing this invention consists of an information processing device (server) and a user terminal that work in conjunction. The user inputs the procedures for counter services via voice or text through the terminal. This information is analyzed using natural language processing technology to understand the user's intent. 【0299】 The server is built using Python and performs analysis using natural language processing libraries (e.g., spaCy). Required documents are automatically generated using document generation technology and sent electronically from the server to the user. Furthermore, image recognition technology (e.g., OpenCV) is used to verify the authenticity of documents and identification images uploaded by the user. 【0300】 The terminal is a device that receives user input and displays instructions from the server; smartphones and tablets are often used for this purpose. Users can perform procedures on the terminal, review generated documents, and print them out as needed. Furthermore, user feedback data is collected and analyzed using data analysis technology and used to improve the service. 【0301】 To give a concrete example, a user who wishes to change their address on their resident registration would use their smartphone to voice-input "I want to change my address on my resident registration." The system would then analyze this input, display instructions for the necessary procedures, and automatically generate the relevant documents. 【0302】 An example of a prompt message for a generating AI model might be, "Please suggest the steps to automatically process a user's change of address registration." 【0303】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0304】 Step 1: 【0305】 Users input their inquiries using their smartphones or tablets via voice or text. This input data is sent to the server via a Web API. Examples of input data include voice or text data such as "I want to change my address on my resident registration." 【0306】 Step 2: 【0307】 The server analyzes the received data using a natural language processing library (e.g., spaCy) to understand the user's intent. Through this process, the input is processed as text data to determine what procedures are required for the user's inquiry. As output, a list of requirements necessary for the procedures is generated. 【0308】 Step 3: 【0309】 Based on the generated list of requirements, the server utilizes a document generation module to automatically create the necessary application documents. Here, it is output as a PDF-format document based on the information input by the user and is provided for the next process. 【0310】 Step 4: 【0311】 The server uses an image recognition module (e.g., OpenCV) to check the format and content of the supplementary documents and proof images uploaded by the user. The input is an image file uploaded by the user, and it is determined whether the content and format meet the requirements. As output, a confirmation result is generated as data. 【0312】 Step 5: 【0313】 The server integrates the confirmed application documents and images and provides them electronically to the user. It is sent via a digital link or email so that it can be confirmed on the user terminal, and the user performs the operation of final confirmation. The output is a confirmation screen of the application form displayed on the user's display. 【0314】 Step 6: 【0315】 [[ID=3able to be confirmed on the user terminal, and the user performs the operation of final confirmation. The output is a confirmation screen of the application form displayed on the user's display. 【0314】 Step 6: 【0315】 The user checks the provided documents, makes corrections and confirmations as necessary, and makes a final application. Through this operation, the application data based on the user's selection is officially registered on the server. 【0316】 Step 7: 【0317】 The server saves the final application data to a database, where it is analyzed by a data analysis module. The feedback collected through this analysis is used to improve service quality. The input is the application data itself, and the output generates improvement suggestions and new insights. 【0318】 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. 【0319】 This invention is a system that utilizes AI technology to streamline counter services at local government offices. This system integrates natural language processing, document generation, image recognition, data analysis, and sentiment recognition engines to respond to user inquiries and automate necessary procedures. 【0320】 Specifically, the terminal receives inquiries and applications from users via text or voice. This information is analyzed by a natural language processing engine, allowing the server to understand the user's intent. For example, if a user requests to "issue a resident registration certificate," the system understands this request and provides guidance on the necessary procedures. The server sends the analysis results to the terminal and displays the appropriate procedure guidance. 【0321】 Furthermore, the server utilizes a document generation engine to automatically create the necessary application documents and send them to the terminal. Based on the information entered by the user, the server uses an image recognition engine to verify the authenticity of the documents and identification photos. This ensures the reliability and efficiency of the procedure. 【0322】 The emotion recognition engine also plays a crucial role. This engine analyzes the user's emotional state from their voice and text, and uses the emotional data obtained by the server to adjust the response content and tone accordingly. For example, if the user is feeling dissatisfied or anxious, the server will instruct the system to attempt to resolve the problem in a calm tone. 【0323】 Finally, once the procedure is complete, the server records the results in a database. A data analysis engine analyzes this history, extracts areas for service improvement, and uses it as feedback. For example, analyzing sentiment data can demonstrate how the user experience can be improved. 【0324】 This system will enable 24-hour service at service counters, improving user convenience and satisfaction. Furthermore, it is expected to significantly improve the operational efficiency of local governments. 【0325】 The following describes the processing flow. 【0326】 Step 1: 【0327】 The terminal receives user inquiries and applications via text or voice. This initial data serves as the starting point for all processing within the system. Users enter their name, address, and desired procedure. 【0328】 Step 2: 【0329】 The terminal transfers the received data to the server. The server activates a natural language processing engine to analyze the user's intent from their input and identify the necessary procedures. For example, it might recognize a request for a resident registration certificate. 【0330】 Step 3: 【0331】 The server sends necessary information and procedural guidance to the user's terminal based on the analysis. The terminal displays this information to the user and prompts them to take the next action. The user enters any additional information or makes any selections as needed. 【0332】 Step 4: 【0333】 The server uses a document generation module to automatically generate the necessary documents for the procedures submitted by the user. The generated documents are sent to the terminal for the user to review. 【0334】 Step 5: 【0335】 The server uses an image recognition module to verify the documents and identification photos provided by the user. Image recognition technology ensures that the documents are submitted in the correct format. 【0336】 Step 6: 【0337】 The server operates an emotion recognition engine to identify emotions from user input and speech. Using this emotion data, the server adjusts the response content and tone to optimize the user experience. 【0338】 Step 7: 【0339】 After the procedure is complete, the server registers the results in the database and sends a completion notification to the user via the terminal. The user then selects how to receive the documents, and the process is finished. 【0340】 Step 8: 【0341】 The server analyzes procedural data using a data analysis engine and identifies areas for service improvement based on sentiment data and other factors. This enables continuous improvement of the system. 【0342】 (Example 2) 【0343】 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". 【0344】 In modern information processing operations, a significant amount of time and effort is spent responding to user inquiries, generating necessary documents, and verifying their validity. Furthermore, flexible responses that take into account the emotional state of individual users are required, but achieving this is difficult. Additionally, improving the quality of service requires effective analysis and feedback using user data, but existing systems struggle to adequately perform this. 【0345】 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. 【0346】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance; means for automatically generating documents necessary for the user's application using document generation; means for analyzing documents and identification photos using image recognition and verifying their authenticity; means for analyzing the user's emotional state using emotion recognition and adjusting the response content and tone; and means for analyzing collected usage data through data analysis and feeding it back into service improvement. This enables increased efficiency and improved quality of information processing operations, as well as an improved user experience. 【0347】 "Natural language processing" is a technology that analyzes user inquiries and enables machines to understand their intent. 【0348】 "Document generation" is a technology that automatically creates necessary documents based on user requests. 【0349】 "Image recognition" is a technology that analyzes image data from documents and photographs to verify the validity of their content and their suitability to requirements. 【0350】 "Emotion recognition" is a technology that reads the emotional state of a user from their voice or text and adjusts the system's response and tone accordingly. 【0351】 "Data analysis" is a technique that involves thoroughly analyzing collected usage data, extracting useful information from it, and utilizing it to improve services. 【0352】 "Information processing operations" refers to a series of business activities, including responding to inquiries and applications from users, and generating and verifying documents. 【0353】 A "server" is a central computing device used to perform information processing tasks. 【0354】 This invention is a system designed to improve the efficiency of information processing operations for local governments and other organizations. This system integrates multiple technologies and can meet the advanced needs of users. 【0355】 First, the terminal receives a voice or text inquiry from the user. The received information is analyzed by a natural language processing engine via the server. This engine understands the user's intent and identifies the appropriate action within the system. 【0356】 Next, the server uses a document generation engine to automatically generate the necessary documents in response to the user's inquiry. These documents are sent to the terminal and provided to the user electronically, or mailed upon request. 【0357】 When a user uploads documents or passport photos from their device, the server's image recognition engine analyzes them to verify the data's validity. The degree to which the image meets the requirements is also evaluated during this process. 【0358】 Furthermore, the system is equipped with an emotion recognition engine that can analyze the user's emotional state from voice and text. Based on this information, the server dynamically adjusts the tone and content of its responses, providing an environment where users can make inquiries with peace of mind. 【0359】 Ultimately, the server uses a data analysis engine to analyze data obtained from user interactions and feeds the results back into service improvements. The introduction of this system is expected to improve operational efficiency and enhance the user experience. 【0360】 For example, if a user sends a text message to their device saying "I want to proceed with moving procedures," that information can be analyzed by a natural language processing engine, and the server can then use a document generation engine to create and provide instructions on the necessary moving procedures. 【0361】 An example of a prompt message would be, "I would like to change my resident registration due to moving. Please tell me the list of required documents and how to submit them." 【0362】 This system will significantly improve the efficiency of information processing operations for local governments and other organizations, leading to increased user convenience and satisfaction. 【0363】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0364】 Step 1: 【0365】 The terminal receives user inquiries in either voice or text format. This input data is then prepared for transmission to a natural language processing engine. Specifically, this process includes speech recognition, which converts the voice data into text. 【0366】 Step 2: 【0367】 The server receives query data sent from the terminal and performs analysis via a natural language processing engine. This analysis process involves data processing to identify the user's intent and requirements. The output identifies the procedures and information the user desires. 【0368】 Step 3: 【0369】 Based on the analysis results, the server uses a document generation engine to automatically generate the necessary documents and procedural instructions that match the user's requests. These generated documents are then output and prepared for transmission to the terminal. 【0370】 Step 4: 【0371】 The terminal displays procedural instructions and generated documents sent from the server to the user. Further information can be provided by using an input device to allow the user to review the documents and enter additional information as needed. 【0372】 Step 5: 【0373】 Users upload necessary documents and passport photos to the system via their terminal. This is then passed to the image recognition engine as new input data, and the authenticity of the documents and image data is verified. 【0374】 Step 6: 【0375】 The server uses an emotion recognition engine to analyze the user's emotional state from their voice and text. This analysis helps to adjust the response tone to improve the user experience. Specifically, this includes responding in a calmer tone to reduce user anxiety. 【0376】 Step 7: 【0377】 After all procedures are completed, the server analyzes the accumulated data using a data analysis engine. This data processing extracts valuable insights for service improvement, which are then fed back into future service provision. 【0378】 In this way, the system achieves increased efficiency and improved quality in information processing tasks through multi-stage processing. 【0379】 (Application Example 2) 【0380】 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". 【0381】 Modern customer service in physical stores relies heavily on human interaction, leading to problems such as inconsistent service and delays. Furthermore, the inability to adequately consider customer emotions can result in decreased satisfaction. While there is a need for increased efficiency in store operations and reduced personnel costs, current systems fail to adequately address these challenges. 【0382】 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. 【0383】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance; means for automatically generating documents necessary for the user's application using document generation; means for analyzing documents and identification photos using image recognition and verifying their authenticity; means for analyzing the user's emotional state using emotion recognition and adjusting the response content; and means for transcribing user speech in real time and providing inventory information and product descriptions. This enables improved customer service and increased operational efficiency in physical stores. 【0384】 "Natural language processing" is a technology that enables computers to understand and analyze human language. 【0385】 "Document generation" is a technology that automatically creates documents and information based on text data using a specific algorithm. 【0386】 "Image recognition" is a technology that identifies specific objects within digital images and analyzes their content. 【0387】 "Emotion recognition" is a technology that analyzes a user's emotional state based on their voice or text and responds appropriately. 【0388】 "Real-time processing" is a technology that instantly analyzes user input and provides a rapid response. 【0389】 A "physical store" refers to a real-world store facility that directly provides goods or services to customers. 【0390】 "Customer service" refers to the support and assistance that users receive while using a product or service. 【0391】 "Business efficiency improvement" means improving business processes to reduce time and costs while increasing results. 【0392】 The system implementing this invention mainly consists of a server and a terminal. The server analyzes user input using natural language processing technology and generates appropriate information and procedural guidance. NVIDIA Clara NLP is utilized for this processing. User voice input is received by the terminal and converted to text in real time using the Google Cloud Speech-to-Text API. This text data is then sent to the server and analyzed using the aforementioned NLP technology. 【0393】 Furthermore, the server automatically generates the necessary documents using document generation technology. The generated documents can be provided to the user electronically or sent via a specified method. Google Cloud Vision API is used for image recognition to check the authenticity of the documents and images used in the application. This ensures the reliability of the procedure. 【0394】 Furthermore, IBM Watson's sentiment analysis is used for emotion recognition, analyzing the user's emotional state. Based on the analysis results, the server can adjust the content and tone of its response to provide more appropriate customer service. 【0395】 AWS S3 is used for data storage and analysis. This data is used as feedback for service improvement, contributing to overall service enhancement. The collaboration between servers and terminals allows users to receive efficient and flexible support. 【0396】 For example, if a user speaks "Tell me about the new sale items" into their smartphone while in a store, the device converts the speech into text, and the server understands the request through natural language processing. The server then provides relevant sale information and guides the user in real time. 【0397】 An example of a prompt message would be, "Tell the AI ​​assistant 'Tell me about new sale items' to test the quality of the information the AI ​​provides and the speed of its response." 【0398】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0399】 Step 1: 【0400】 The user uses a device to input voice data. The device converts the user's voice into text data in real time using the Google Cloud Speech-to-Text API. The input for this process is voice, and the output is text data. 【0401】 Step 2: 【0402】 The server performs natural language processing on the text data received from the terminal using NVIDIA Clara NLP. This analyzes the user's intent and understands their specific request. The input to this process is text data, and the output is data indicating the user's request. 【0403】 Step 3: 【0404】 The server retrieves the necessary information from the database based on the request. It also automatically generates documents as needed using a document generation engine. The input to this process is the user's request, and the output is the information and documents provided to the user. 【0405】 Step 4: 【0406】 If optional, the server uses the Google Cloud Vision API to recognize image data received from the user and verify the authenticity of documents and images. The input to this process is image data, and the output is the result of the authenticity verification. 【0407】 Step 5: 【0408】 The server uses IBM Watson sentiment analysis to analyze the sentiment of text data. Based on this, it adjusts the tone and content of the response. The input to this process is the text data, and the output is the adjusted response data. 【0409】 Step 6: 【0410】 The server stores the obtained data in AWS S3 and analyzes it for future service improvements. The input to this process is the data obtained at each processing step, and the output is feedback data for service improvement. 【0411】 Step 7: 【0412】 Information and documents created by the server are provided to the user via the terminal. Store information and product guides are also displayed to the user in real time. The input for this process is the information to be provided, and the output is the final information displayed on the user's terminal. 【0413】 The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0414】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). 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. 【0415】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0416】 [Third Embodiment] 【0417】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0418】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0419】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0420】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0421】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0422】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0423】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0424】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0425】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0426】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0427】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0428】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0429】 This invention provides an embodiment for automating and streamlining local government counter services by using a system that combines AI technology. This system operates by integrating modules for natural language processing, document generation, image recognition, and data analysis. 【0430】 First, users make inquiries or requests for applications via text or voice through their terminal. For example, if a user wants to obtain a resident registration certificate, they will input or voice instructions for the relevant information into the terminal. This user input is then transmitted to the server via the network. 【0431】 The server uses a natural language processing engine to analyze the user's intent and understand the content of the inquiry. Based on this analysis, the server extracts the necessary information and determines the next procedural step. The analysis results are sent to the terminal, which then displays appropriate guidance or instructions to the user. 【0432】 Next, the server uses a document generation module to automatically create the documents required for the user's application. These documents are sent to the terminal for the user to review. Furthermore, the server uses an image recognition module to verify that supplementary documents and identification photos are in the correct format. 【0433】 Once all procedures are complete, the server registers the results in the database. The procedural data collected here is analyzed by a data analysis module and used to improve services and discover new insights. 【0434】 As a concrete example, in the process of obtaining a resident registration certificate, the user enters the necessary information, and the server automatically generates the application documents. After the accuracy of the generated documents is verified, the user is presented with the options of receiving them electronically or by mail. Finally, the user can receive the resident registration certificate using the method of their choice. 【0435】 This invention will enable users to access municipal services 24 hours a day, significantly reducing the workload of local governments. 【0436】 The following describes the processing flow. 【0437】 Step 1: 【0438】 The device receives user inquiries and application requests via text or voice and collects initial data. This data provides clues to understanding the user's intent. 【0439】 Step 2: 【0440】 The terminal transfers the received user data to the server. The server activates a natural language processing engine to analyze the user's intent. This allows it to understand the inquiry and identify the necessary steps to take. 【0441】 Step 3: 【0442】 Based on the analysis results, the server determines the next action required of the user. This information is sent to the terminal, which then displays guidance and instructions to the user. 【0443】 Step 4: 【0444】 The user enters the necessary information (such as name and address) according to the terminal's instructions. The terminal then sends this information back to the server, signaling for the next step. 【0445】 Step 5: 【0446】 The server uses a document generation module to automatically generate the documents required for the user's application. The generated documents are then transferred to the terminal, and the user is asked to confirm them. 【0447】 Step 6: 【0448】 The server uses an image recognition module to verify the relevant documents and identification photos submitted by the user. This process determines the accuracy and formatting of the documents. 【0449】 Step 7: 【0450】 After the procedure is complete, the server registers the results in the database. A completion message is sent to the user via the terminal, and the user selects how they want to receive the documents. 【0451】 Step 8: 【0452】 The server uses a data analysis module to analyze the collected procedural data and understand system usage and user behavior patterns. The analysis results are used to improve the service. 【0453】 (Example 1) 【0454】 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." 【0455】 Local government counter services require a great deal of time and effort, making efficiency improvements essential. Traditional methods have resulted in long waiting times for users and forced staff to manually process many procedures. Furthermore, accurately responding to diverse user requests and preventing errors presents significant challenges. 【0456】 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. 【0457】 In this invention, the server includes means for analyzing user input using natural language processing to understand the user's intent and determine appropriate procedural steps; means for automatically generating the documents necessary for the user's application using a document creation function; and means for verifying supplementary documents and photographs using image processing technology to confirm the accuracy of their format. This makes it possible to streamline the counter services of local governments and significantly reduce the burden on users and staff. 【0458】 "Natural language processing" is a technology that analyzes text data entered by users and understands its content. 【0459】 "Document creation function" refers to technology that automatically generates documents according to the user's requirements based on pre-set templates. 【0460】 "Image processing technology" is a technique that analyzes image data to verify whether supplementary documents and photographs conform to a specified format. 【0461】 "Data analysis functionality" refers to the technology that analyzes collected data and uses the results to improve services and discover new insights. 【0462】 A "server" is a computer system that provides various functions and processes data over a network. 【0463】 A "network" is a system that connects multiple computers to transmit information and share data. 【0464】 An "interface" refers to the user interface or method used to interact with a system. 【0465】 To implement the invention, a system combining the following technologies will be constructed. First, the user uses an input device to input questions or application details in natural language. A registration terminal receives the user's input as voice or text and sends that information to a server. 【0466】 The server has various processing modules, including a natural language processing engine at its core. This engine analyzes user input and understands its intent. Based on the understood intent, the server determines the appropriate procedural steps. For example, if a user requests "Please issue a resident registration certificate," the server uses natural language processing to understand the request and begins processing for issuing the certificate. 【0467】 Next, the server has a document generation function and automatically generates the necessary documents. During this process, data is inserted based on a template, and the document is created in the format required by the user. The generated document is then sent to the terminal via the network, allowing the user to view its contents on the terminal. 【0468】 Furthermore, the server integrates image processing technology to verify supplementary documents and identification photos uploaded by users. This ensures the accuracy of the documents and supports the smooth progress of the application process. 【0469】 The results of completed procedures are recorded in a database. The recorded data is analyzed by data analysis functions and used as a means to gain insights for service improvement and operational efficiency. 【0470】 As a concrete example, by inputting the prompt "Please tell me the specific steps to automate the procedure for issuing resident registration certificates" into the AI ​​model, it is possible to obtain detailed instructions about the automation process. 【0471】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0472】 Step 1: 【0473】 The user enters their request through a terminal. For example, they might enter "Please issue a resident registration certificate" as text or voice. This input data is sent from the terminal to the server. The server receives the input and prepares for the next analysis step. 【0474】 Step 2: 【0475】 The server uses a natural language processing engine to analyze the user's request. It performs morphological analysis on the input text and grasps its meaning to understand the user's intent. As a result of the analysis, it recognizes that a request for a resident registration certificate has been made and identifies the necessary procedural steps. 【0476】 Step 3: 【0477】 The server uses its document creation function to automatically generate the application documents required for issuing a resident registration certificate. By filling in the data entered into the template, it generates accurate documents. These generated documents are transmitted to the terminal via the network and presented to the user. 【0478】 Step 4: 【0479】 Users review the documents generated through their device and request corrections if necessary. The process also progresses by uploading supplementary documents or photos. This uploaded information is also transferred to the server. 【0480】 Step 5: 【0481】 The server uses image processing technology to analyze supplementary documents and photos submitted by the user. It automatically verifies the image format and checks whether the necessary information is displayed correctly. Based on the results of this verification, the legitimacy of the documents is confirmed. 【0482】 Step 6: 【0483】 Once the procedure is complete, the server records the results in a database. The stored data is later analyzed by data analysis functions, contributing to increased operational efficiency and improved services. This process achieves automation and optimization of counter services. 【0484】 (Application Example 1) 【0485】 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." 【0486】 In recent years, there has been a growing demand for increased efficiency in counter services provided by local governments and other organizations. However, challenges remain, as these services still require the creation of numerous paper documents and face-to-face procedures, resulting in enormous time and effort. In particular, users often experience inconvenience because they cannot access services outside of business hours. To address this, it is desirable to introduce fully automated systems to reduce the workload and enable users to access services 24 hours a day. 【0487】 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. 【0488】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance, means for automatically generating documents necessary for the user's application using document generation, and means for analyzing documents and identification images using image recognition and verifying their authenticity. This streamlines counter services and enables users to access municipal services online 24 hours a day. 【0489】 "Natural language processing" is a technology that analyzes audio and text information provided by users to understand their intent. 【0490】 "Document generation" is a technology that automatically creates necessary documents based on the user's application details. 【0491】 "Image recognition" is a technology that analyzes digital images to verify the format of documents and the authenticity of identification images. 【0492】 "Data analysis" is a technique that statistically analyzes collected user data to improve services and provide new perspectives. 【0493】 An "information processing device" is a computer or similar device that receives instructions and information from users as input and performs various processing tasks. 【0494】 "Dialogue function" refers to an interactive function that enables interaction with the user and provides appropriate support for operation. 【0495】 "Print media" refers to the method of providing a generated document by printing it on physical paper. 【0496】 The system for realizing this invention consists of an information processing device (server) and a user terminal that work in conjunction. The user inputs the procedures for counter services via voice or text through the terminal. This information is analyzed using natural language processing technology to understand the user's intent. 【0497】 The server is built using Python and performs analysis using natural language processing libraries (e.g., spaCy). Required documents are automatically generated using document generation technology and sent electronically from the server to the user. Furthermore, image recognition technology (e.g., OpenCV) is used to verify the authenticity of documents and identification images uploaded by the user. 【0498】 The terminal is a device that receives user input and displays instructions from the server; smartphones and tablets are often used for this purpose. Users can perform procedures on the terminal, review generated documents, and print them out as needed. Furthermore, user feedback data is collected and analyzed using data analysis technology and used to improve the service. 【0499】 To give a concrete example, a user who wishes to change their address on their resident registration would use their smartphone to voice-input "I want to change my address on my resident registration." The system would then analyze this input, display instructions for the necessary procedures, and automatically generate the relevant documents. 【0500】 An example of a prompt message for a generating AI model might be, "Please suggest the steps to automatically process a user's change of address registration." 【0501】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0502】 Step 1: 【0503】 Users input their inquiries using their smartphones or tablets via voice or text. This input data is sent to the server via a Web API. Examples of input data include voice or text data such as "I want to change my address on my resident registration." 【0504】 Step 2: 【0505】 The server analyzes the received data using a natural language processing library (e.g., spaCy) to understand the user's intent. This process processes the input as text data and determines what procedures the user's query requires. The output is a list of requirements necessary for those procedures. 【0506】 Step 3: 【0507】 Based on the generated requirements list, the server uses a document generation module to automatically create the necessary application documents. Here, the information entered by the user is output as a PDF document, which is then used for the next process. 【0508】 Step 4: 【0509】 The server uses an image recognition module (e.g., OpenCV) to verify the format and content of supplementary documents and certification images uploaded by the user. The input is an image file uploaded by the user, and the server determines whether the content and format meet the requirements. The output is data containing the verification results. 【0510】 Step 5: 【0511】 The server integrates the verified application documents and images and provides them to the user electronically. A digital link or email is sent for user review on their device, allowing the user to perform a final confirmation. The output is a confirmation screen of the application displayed on the user's screen. 【0512】 Step 6: 【0513】 The user reviews the provided documents, makes any necessary corrections or confirmations, and then submits the final application. This process officially registers the application data, based on the user's selections, to the server. 【0514】 Step 7: 【0515】 The server saves the final application data to a database, where it is analyzed by a data analysis module. The feedback collected through this analysis is used to improve service quality. The input is the application data itself, and the output generates improvement suggestions and new insights. 【0516】 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. 【0517】 This invention is a system that utilizes AI technology to streamline counter services at local government offices. This system integrates natural language processing, document generation, image recognition, data analysis, and sentiment recognition engines to respond to user inquiries and automate necessary procedures. 【0518】 Specifically, the terminal receives inquiries and applications from users via text or voice. This information is analyzed by a natural language processing engine, allowing the server to understand the user's intent. For example, if a user requests to "issue a resident registration certificate," the system understands this request and provides guidance on the necessary procedures. The server sends the analysis results to the terminal and displays the appropriate procedure guidance. 【0519】 Furthermore, the server utilizes a document generation engine to automatically create the necessary application documents and send them to the terminal. Based on the information entered by the user, the server uses an image recognition engine to verify the authenticity of the documents and identification photos. This ensures the reliability and efficiency of the procedure. 【0520】 The emotion recognition engine also plays a crucial role. This engine analyzes the user's emotional state from their voice and text, and uses the emotional data obtained by the server to adjust the response content and tone accordingly. For example, if the user is feeling dissatisfied or anxious, the server will instruct the system to attempt to resolve the problem in a calm tone. 【0521】 Finally, once the procedure is complete, the server records the results in a database. A data analysis engine analyzes this history, extracts areas for service improvement, and uses it as feedback. For example, analyzing sentiment data can demonstrate how the user experience can be improved. 【0522】 This system will enable 24-hour service at service counters, improving user convenience and satisfaction. Furthermore, it is expected to significantly improve the operational efficiency of local governments. 【0523】 The following describes the processing flow. 【0524】 Step 1: 【0525】 The terminal receives user inquiries and applications via text or voice. This initial data serves as the starting point for all processing within the system. Users enter their name, address, and desired procedure. 【0526】 Step 2: 【0527】 The terminal transfers the received data to the server. The server activates a natural language processing engine to analyze the user's intent from their input and identify the necessary procedures. For example, it might recognize a request for a resident registration certificate. 【0528】 Step 3: 【0529】 The server sends necessary information and procedural guidance to the user's terminal based on the analysis. The terminal displays this information to the user and prompts them to take the next action. The user enters any additional information or makes any selections as needed. 【0530】 Step 4: 【0531】 The server uses a document generation module to automatically generate the necessary documents for the procedures submitted by the user. The generated documents are sent to the terminal for the user to review. 【0532】 Step 5: 【0533】 The server uses an image recognition module to verify the documents and identification photos provided by the user. Image recognition technology ensures that the documents are submitted in the correct format. 【0534】 Step 6: 【0535】 The server operates an emotion recognition engine to identify emotions from user input and speech. Using this emotion data, the server adjusts the response content and tone to optimize the user experience. 【0536】 Step 7: 【0537】 After the procedure is complete, the server registers the results in the database and sends a completion notification to the user via the terminal. The user then selects how to receive the documents, and the process is finished. 【0538】 Step 8: 【0539】 The server analyzes procedural data using a data analysis engine and identifies areas for service improvement based on sentiment data and other factors. This enables continuous improvement of the system. 【0540】 (Example 2) 【0541】 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." 【0542】 In modern information processing operations, a significant amount of time and effort is spent responding to user inquiries, generating necessary documents, and verifying their validity. Furthermore, flexible responses that take into account the emotional state of individual users are required, but achieving this is difficult. Additionally, improving the quality of service requires effective analysis and feedback using user data, but existing systems struggle to adequately perform this. 【0543】 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. 【0544】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance; means for automatically generating documents necessary for the user's application using document generation; means for analyzing documents and identification photos using image recognition and verifying their authenticity; means for analyzing the user's emotional state using emotion recognition and adjusting the response content and tone; and means for analyzing collected usage data through data analysis and feeding it back into service improvement. This enables increased efficiency and improved quality of information processing operations, as well as an improved user experience. 【0545】 "Natural language processing" is a technology that analyzes user inquiries and enables machines to understand their intent. 【0546】 "Document generation" is a technology that automatically creates necessary documents based on user requests. 【0547】 "Image recognition" is a technology that analyzes image data from documents and photographs to verify the validity of their content and their suitability to requirements. 【0548】 "Emotion recognition" is a technology that reads the emotional state of a user from their voice or text and adjusts the system's response and tone accordingly. 【0549】 "Data analysis" is a technique that involves thoroughly analyzing collected usage data, extracting useful information from it, and utilizing it to improve services. 【0550】 "Information processing operations" refers to a series of business activities, including responding to inquiries and applications from users, and generating and verifying documents. 【0551】 A "server" is a central computing device used to perform information processing tasks. 【0552】 This invention is a system designed to improve the efficiency of information processing operations for local governments and other organizations. This system integrates multiple technologies and can meet the advanced needs of users. 【0553】 First, the terminal receives a voice or text inquiry from the user. The received information is analyzed by a natural language processing engine via the server. This engine understands the user's intent and identifies the appropriate action within the system. 【0554】 Next, the server uses a document generation engine to automatically generate the necessary documents in response to the user's inquiry. These documents are sent to the terminal and provided to the user electronically, or mailed upon request. 【0555】 When a user uploads documents or passport photos from their device, the server's image recognition engine analyzes them to verify the data's validity. The degree to which the image meets the requirements is also evaluated during this process. 【0556】 Furthermore, the system is equipped with an emotion recognition engine that can analyze the user's emotional state from voice and text. Based on this information, the server dynamically adjusts the tone and content of its responses, providing an environment where users can make inquiries with peace of mind. 【0557】 Ultimately, the server uses a data analysis engine to analyze data obtained from user interactions and feeds the results back into service improvements. The introduction of this system is expected to improve operational efficiency and enhance the user experience. 【0558】 For example, if a user sends a text message to their device saying "I want to proceed with moving procedures," that information can be analyzed by a natural language processing engine, and the server can then use a document generation engine to create and provide instructions on the necessary moving procedures. 【0559】 An example of a prompt message would be, "I would like to change my resident registration due to moving. Please tell me the list of required documents and how to submit them." 【0560】 This system will significantly improve the efficiency of information processing operations for local governments and other organizations, leading to increased user convenience and satisfaction. 【0561】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0562】 Step 1: 【0563】 The terminal receives user inquiries in either voice or text format. This input data is then prepared for transmission to a natural language processing engine. Specifically, this process includes speech recognition, which converts the voice data into text. 【0564】 Step 2: 【0565】 The server receives query data sent from the terminal and performs analysis via a natural language processing engine. This analysis process involves data processing to identify the user's intent and requirements. The output identifies the procedures and information the user desires. 【0566】 Step 3: 【0567】 Based on the analysis results, the server uses a document generation engine to automatically generate the necessary documents and procedural instructions that match the user's requests. These generated documents are then output and prepared for transmission to the terminal. 【0568】 Step 4: 【0569】 The terminal displays procedural instructions and generated documents sent from the server to the user. Further information can be provided by using an input device to allow the user to review the documents and enter additional information as needed. 【0570】 Step 5: 【0571】 Users upload necessary documents and passport photos to the system via their terminal. This is then passed to the image recognition engine as new input data, and the authenticity of the documents and image data is verified. 【0572】 Step 6: 【0573】 The server uses an emotion recognition engine to analyze the user's emotional state from their voice and text. This analysis helps to adjust the response tone to improve the user experience. Specifically, this includes responding in a calmer tone to reduce user anxiety. 【0574】 Step 7: 【0575】 After all procedures are completed, the server analyzes the accumulated data using a data analysis engine. This data processing extracts valuable insights for service improvement, which are then fed back into future service provision. 【0576】 In this way, the system achieves increased efficiency and improved quality in information processing tasks through multi-stage processing. 【0577】 (Application Example 2) 【0578】 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." 【0579】 Modern customer service in physical stores relies heavily on human interaction, leading to problems such as inconsistent service and delays. Furthermore, the inability to adequately consider customer emotions can result in decreased satisfaction. While there is a need for increased efficiency in store operations and reduced personnel costs, current systems fail to adequately address these challenges. 【0580】 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. 【0581】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance; means for automatically generating documents necessary for the user's application using document generation; means for analyzing documents and identification photos using image recognition and verifying their authenticity; means for analyzing the user's emotional state using emotion recognition and adjusting the response content; and means for transcribing user speech in real time and providing inventory information and product descriptions. This enables improved customer service and increased operational efficiency in physical stores. 【0582】 "Natural language processing" is a technology that enables computers to understand and analyze human language. 【0583】 "Document generation" is a technology that automatically creates documents and information based on text data using a specific algorithm. 【0584】 "Image recognition" is a technology that identifies specific objects within digital images and analyzes their content. 【0585】 "Emotion recognition" is a technology that analyzes a user's emotional state based on their voice or text and responds appropriately. 【0586】 "Real-time processing" is a technology that instantly analyzes user input and provides a rapid response. 【0587】 A "physical store" refers to a real-world store facility that directly provides goods or services to customers. 【0588】 "Customer service" refers to the support and assistance that users receive while using a product or service. 【0589】 "Business efficiency improvement" means improving business processes to reduce time and costs while increasing results. 【0590】 The system implementing this invention mainly consists of a server and a terminal. The server analyzes user input using natural language processing technology and generates appropriate information and procedural guidance. NVIDIA Clara NLP is utilized for this processing. User voice input is received by the terminal and converted to text in real time using the Google Cloud Speech-to-Text API. This text data is then sent to the server and analyzed using the aforementioned NLP technology. 【0591】 Furthermore, the server automatically generates the necessary documents using document generation technology. The generated documents can be provided to the user electronically or sent via a specified method. Google Cloud Vision API is used for image recognition to check the authenticity of the documents and images used in the application. This ensures the reliability of the procedure. 【0592】 Furthermore, IBM Watson's sentiment analysis is used for emotion recognition, analyzing the user's emotional state. Based on the analysis results, the server can adjust the content and tone of its response to provide more appropriate customer service. 【0593】 AWS S3 is used for data storage and analysis. This data is used as feedback for service improvement, contributing to overall service enhancement. The collaboration between servers and terminals allows users to receive efficient and flexible support. 【0594】 For example, if a user speaks "Tell me about the new sale items" into their smartphone while in a store, the device converts the speech into text, and the server understands the request through natural language processing. The server then provides relevant sale information and guides the user in real time. 【0595】 An example of a prompt message would be, "Tell the AI ​​assistant 'Tell me about new sale items' to test the quality of the information the AI ​​provides and the speed of its response." 【0596】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0597】 Step 1: 【0598】 The user uses a device to input voice data. The device converts the user's voice into text data in real time using the Google Cloud Speech-to-Text API. The input for this process is voice, and the output is text data. 【0599】 Step 2: 【0600】 The server performs natural language processing on the text data received from the terminal using NVIDIA Clara NLP. This analyzes the user's intent and understands their specific request. The input to this process is text data, and the output is data indicating the user's request. 【0601】 Step 3: 【0602】 The server retrieves the necessary information from the database based on the request. It also automatically generates documents as needed using a document generation engine. The input to this process is the user's request, and the output is the information and documents provided to the user. 【0603】 Step 4: 【0604】 If optional, the server uses the Google Cloud Vision API to recognize image data received from the user and verify the authenticity of documents and images. The input to this process is image data, and the output is the result of the authenticity verification. 【0605】 Step 5: 【0606】 The server uses IBM Watson sentiment analysis to analyze the sentiment of text data. Based on this, it adjusts the tone and content of the response. The input to this process is the text data, and the output is the adjusted response data. 【0607】 Step 6: 【0608】 The server stores the obtained data in AWS S3 and analyzes it for future service improvements. The input to this process is the data obtained at each processing step, and the output is feedback data for service improvement. 【0609】 Step 7: 【0610】 Information and documents created by the server are provided to the user via the terminal. Store information and product guides are also displayed to the user in real time. The input for this process is the information to be provided, and the output is the final information displayed on the user's terminal. 【0611】 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. 【0612】 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. 【0613】 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. 【0614】 [Fourth Embodiment] 【0615】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0616】 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. 【0617】 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). 【0618】 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. 【0619】 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. 【0620】 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). 【0621】 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. 【0622】 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. 【0623】 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. 【0624】 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. 【0625】 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. 【0626】 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. 【0627】 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". 【0628】 This invention provides an embodiment for automating and streamlining local government counter services by using a system that combines AI technology. This system operates by integrating modules for natural language processing, document generation, image recognition, and data analysis. 【0629】 First, users make inquiries or requests for applications via text or voice through their terminal. For example, if a user wants to obtain a resident registration certificate, they will input or voice instructions for the relevant information into the terminal. This user input is then transmitted to the server via the network. 【0630】 The server uses a natural language processing engine to analyze the user's intent and understand the content of the inquiry. Based on this analysis, the server extracts the necessary information and determines the next procedural step. The analysis results are sent to the terminal, which then displays appropriate guidance or instructions to the user. 【0631】 Next, the server uses a document generation module to automatically create the documents required for the user's application. These documents are sent to the terminal for the user to review. Furthermore, the server uses an image recognition module to verify that supplementary documents and identification photos are in the correct format. 【0632】 Once all procedures are complete, the server registers the results in the database. The procedural data collected here is analyzed by a data analysis module and used to improve services and discover new insights. 【0633】 As a concrete example, in the process of obtaining a resident registration certificate, the user enters the necessary information, and the server automatically generates the application documents. After the accuracy of the generated documents is verified, the user is presented with the options of receiving them electronically or by mail. Finally, the user can receive the resident registration certificate using the method of their choice. 【0634】 This invention will enable users to access municipal services 24 hours a day, significantly reducing the workload of local governments. 【0635】 The following describes the processing flow. 【0636】 Step 1: 【0637】 The device receives user inquiries and application requests via text or voice and collects initial data. This data provides clues to understanding the user's intent. 【0638】 Step 2: 【0639】 The terminal transfers the received user data to the server. The server activates a natural language processing engine to analyze the user's intent. This allows it to understand the inquiry and identify the necessary steps to take. 【0640】 Step 3: 【0641】 Based on the analysis results, the server determines the next action required of the user. This information is sent to the terminal, which then displays guidance and instructions to the user. 【0642】 Step 4: 【0643】 The user enters the necessary information (such as name and address) according to the terminal's instructions. The terminal then sends this information back to the server, signaling for the next step. 【0644】 Step 5: 【0645】 The server uses a document generation module to automatically generate the documents required for the user's application. The generated documents are then transferred to the terminal, and the user is asked to confirm them. 【0646】 Step 6: 【0647】 The server uses an image recognition module to verify the relevant documents and identification photos submitted by the user. This process determines the accuracy and formatting of the documents. 【0648】 Step 7: 【0649】 After the procedure is complete, the server registers the results in the database. A completion message is sent to the user via the terminal, and the user selects how they want to receive the documents. 【0650】 Step 8: 【0651】 The server uses a data analysis module to analyze the collected procedural data and understand system usage and user behavior patterns. The analysis results are used to improve the service. 【0652】 (Example 1) 【0653】 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". 【0654】 Local government counter services require a great deal of time and effort, making efficiency improvements essential. Traditional methods have resulted in long waiting times for users and forced staff to manually process many procedures. Furthermore, accurately responding to diverse user requests and preventing errors presents significant challenges. 【0655】 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. 【0656】 In this invention, the server includes means for analyzing user input using natural language processing to understand the user's intent and determine appropriate procedural steps; means for automatically generating the documents necessary for the user's application using a document creation function; and means for verifying supplementary documents and photographs using image processing technology to confirm the accuracy of their format. This makes it possible to streamline the counter services of local governments and significantly reduce the burden on users and staff. 【0657】 "Natural language processing" is a technology that analyzes text data entered by users and understands its content. 【0658】 "Document creation function" refers to technology that automatically generates documents according to the user's requirements based on pre-set templates. 【0659】 "Image processing technology" is a technique that analyzes image data to verify whether supplementary documents and photographs conform to a specified format. 【0660】 "Data analysis functionality" refers to the technology that analyzes collected data and uses the results to improve services and discover new insights. 【0661】 A "server" is a computer system that provides various functions and processes data over a network. 【0662】 A "network" is a system that connects multiple computers to transmit information and share data. 【0663】 An "interface" refers to the user interface or method used to interact with a system. 【0664】 To implement the invention, a system combining the following technologies will be constructed. First, the user uses an input device to input questions or application details in natural language. A registration terminal receives the user's input as voice or text and sends that information to a server. 【0665】 The server has various processing modules, including a natural language processing engine at its core. This engine analyzes user input and understands its intent. Based on the understood intent, the server determines the appropriate procedural steps. For example, if a user requests "Please issue a resident registration certificate," the server uses natural language processing to understand the request and begins processing for issuing the certificate. 【0666】 Next, the server has a document generation function and automatically generates the necessary documents. During this process, data is inserted based on a template, and the document is created in the format required by the user. The generated document is then sent to the terminal via the network, allowing the user to view its contents on the terminal. 【0667】 Furthermore, the server integrates image processing technology to verify supplementary documents and identification photos uploaded by users. This ensures the accuracy of the documents and supports the smooth progress of the application process. 【0668】 The results of completed procedures are recorded in a database. The recorded data is analyzed by data analysis functions and used as a means to gain insights for service improvement and operational efficiency. 【0669】 As a concrete example, by inputting the prompt "Please tell me the specific steps to automate the procedure for issuing resident registration certificates" into the AI ​​model, it is possible to obtain detailed instructions about the automation process. 【0670】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0671】 Step 1: 【0672】 The user enters their request through a terminal. For example, they might enter "Please issue a resident registration certificate" as text or voice. This input data is sent from the terminal to the server. The server receives the input and prepares for the next analysis step. 【0673】 Step 2: 【0674】 The server uses a natural language processing engine to analyze the user's request. It performs morphological analysis on the input text and grasps its meaning to understand the user's intent. As a result of the analysis, it recognizes that a request for a resident registration certificate has been made and identifies the necessary procedural steps. 【0675】 Step 3: 【0676】 The server uses its document creation function to automatically generate the application documents required for issuing a resident registration certificate. By filling in the data entered into the template, it generates accurate documents. These generated documents are transmitted to the terminal via the network and presented to the user. 【0677】 Step 4: 【0678】 Users review the documents generated through their device and request corrections if necessary. The process also progresses by uploading supplementary documents or photos. This uploaded information is also transferred to the server. 【0679】 Step 5: 【0680】 The server uses image processing technology to analyze supplementary documents and photos submitted by the user. It automatically verifies the image format and checks whether the necessary information is displayed correctly. Based on the results of this verification, the legitimacy of the documents is confirmed. 【0681】 Step 6: 【0682】 Once the procedure is complete, the server records the results in a database. The stored data is later analyzed by data analysis functions, contributing to increased operational efficiency and improved services. This process achieves automation and optimization of counter services. 【0683】 (Application Example 1) 【0684】 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". 【0685】 In recent years, there has been a growing demand for increased efficiency in counter services provided by local governments and other organizations. However, challenges remain, as these services still require the creation of numerous paper documents and face-to-face procedures, resulting in enormous time and effort. In particular, users often experience inconvenience because they cannot access services outside of business hours. To address this, it is desirable to introduce fully automated systems to reduce the workload and enable users to access services 24 hours a day. 【0686】 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. 【0687】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance, means for automatically generating documents necessary for the user's application using document generation, and means for analyzing documents and identification images using image recognition and verifying their authenticity. This streamlines counter services and enables users to access municipal services online 24 hours a day. 【0688】 "Natural language processing" is a technology that analyzes audio and text information provided by users to understand their intent. 【0689】 "Document generation" is a technology that automatically creates necessary documents based on the user's application details. 【0690】 "Image recognition" is a technology that analyzes digital images to verify the format of documents and the authenticity of identification images. 【0691】 "Data analysis" is a technique that statistically analyzes collected user data to improve services and provide new perspectives. 【0692】 An "information processing device" is a computer or similar device that receives instructions and information from users as input and performs various processing tasks. 【0693】 "Dialogue function" refers to an interactive function that enables interaction with the user and provides appropriate support for operation. 【0694】 "Print media" refers to the method of providing a generated document by printing it on physical paper. 【0695】 The system for realizing this invention consists of an information processing device (server) and a user terminal that work in conjunction. The user inputs the procedures for counter services via voice or text through the terminal. This information is analyzed using natural language processing technology to understand the user's intent. 【0696】 The server is built using Python and performs analysis using natural language processing libraries (e.g., spaCy). Required documents are automatically generated using document generation technology and sent electronically from the server to the user. Furthermore, image recognition technology (e.g., OpenCV) is used to verify the authenticity of documents and identification images uploaded by the user. 【0697】 The terminal is a device that receives user input and displays instructions from the server; smartphones and tablets are often used for this purpose. Users can perform procedures on the terminal, review generated documents, and print them out as needed. Furthermore, user feedback data is collected and analyzed using data analysis technology and used to improve the service. 【0698】 To give a concrete example, a user who wishes to change their address on their resident registration would use their smartphone to voice-input "I want to change my address on my resident registration." The system would then analyze this input, display instructions for the necessary procedures, and automatically generate the relevant documents. 【0699】 An example of a prompt message for a generating AI model might be, "Please suggest the steps to automatically process a user's change of address registration." 【0700】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0701】 Step 1: 【0702】 Users input their inquiries using their smartphones or tablets via voice or text. This input data is sent to the server via a Web API. Examples of input data include voice or text data such as "I want to change my address on my resident registration." 【0703】 Step 2: 【0704】 The server analyzes the received data using a natural language processing library (e.g., spaCy) to understand the user's intent. This process processes the input as text data and determines what procedures the user's query requires. The output is a list of requirements necessary for those procedures. 【0705】 Step 3: 【0706】 Based on the generated requirements list, the server uses a document generation module to automatically create the necessary application documents. Here, the information entered by the user is output as a PDF document, which is then used for the next process. 【0707】 Step 4: 【0708】 The server uses an image recognition module (e.g., OpenCV) to verify the format and content of supplementary documents and certification images uploaded by the user. The input is an image file uploaded by the user, and the server determines whether the content and format meet the requirements. The output is data containing the verification results. 【0709】 Step 5: 【0710】 The server integrates the verified application documents and images and provides them to the user electronically. A digital link or email is sent for user review on their device, allowing the user to perform a final confirmation. The output is a confirmation screen of the application displayed on the user's screen. 【0711】 Step 6: 【0712】 The user reviews the provided documents, makes any necessary corrections or confirmations, and then submits the final application. This process officially registers the application data, based on the user's selections, to the server. 【0713】 Step 7: 【0714】 The server saves the final application data to a database, where it is analyzed by a data analysis module. The feedback collected through this analysis is used to improve service quality. The input is the application data itself, and the output generates improvement suggestions and new insights. 【0715】 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. 【0716】 This invention is a system that utilizes AI technology to streamline counter services at local government offices. This system integrates natural language processing, document generation, image recognition, data analysis, and sentiment recognition engines to respond to user inquiries and automate necessary procedures. 【0717】 Specifically, the terminal receives inquiries and applications from users via text or voice. This information is analyzed by a natural language processing engine, allowing the server to understand the user's intent. For example, if a user requests to "issue a resident registration certificate," the system understands this request and provides guidance on the necessary procedures. The server sends the analysis results to the terminal and displays the appropriate procedure guidance. 【0718】 Furthermore, the server utilizes a document generation engine to automatically create the necessary application documents and send them to the terminal. Based on the information entered by the user, the server uses an image recognition engine to verify the authenticity of the documents and identification photos. This ensures the reliability and efficiency of the procedure. 【0719】 The emotion recognition engine also plays a crucial role. This engine analyzes the user's emotional state from their voice and text, and uses the emotional data obtained by the server to adjust the response content and tone accordingly. For example, if the user is feeling dissatisfied or anxious, the server will instruct the system to attempt to resolve the problem in a calm tone. 【0720】 Finally, once the procedure is complete, the server records the results in a database. A data analysis engine analyzes this history, extracts areas for service improvement, and uses it as feedback. For example, analyzing sentiment data can demonstrate how the user experience can be improved. 【0721】 This system will enable 24-hour service at service counters, improving user convenience and satisfaction. Furthermore, it is expected to significantly improve the operational efficiency of local governments. 【0722】 The following describes the processing flow. 【0723】 Step 1: 【0724】 The terminal receives user inquiries and applications via text or voice. This initial data serves as the starting point for all processing within the system. Users enter their name, address, and desired procedure. 【0725】 Step 2: 【0726】 The terminal transfers the received data to the server. The server activates a natural language processing engine to analyze the user's intent from their input and identify the necessary procedures. For example, it might recognize a request for a resident registration certificate. 【0727】 Step 3: 【0728】 The server sends necessary information and procedural guidance to the user's terminal based on the analysis. The terminal displays this information to the user and prompts them to take the next action. The user enters any additional information or makes any selections as needed. 【0729】 Step 4: 【0730】 The server uses a document generation module to automatically generate the necessary documents for the procedures submitted by the user. The generated documents are sent to the terminal for the user to review. 【0731】 Step 5: 【0732】 The server uses an image recognition module to verify the documents and identification photos provided by the user. Image recognition technology ensures that the documents are submitted in the correct format. 【0733】 Step 6: 【0734】 The server operates an emotion recognition engine to identify emotions from user input and speech. Using this emotion data, the server adjusts the response content and tone to optimize the user experience. 【0735】 Step 7: 【0736】 After the procedure is complete, the server registers the results in the database and sends a completion notification to the user via the terminal. The user then selects how to receive the documents, and the process is finished. 【0737】 Step 8: 【0738】 The server analyzes procedural data using a data analysis engine and identifies areas for service improvement based on sentiment data and other factors. This enables continuous improvement of the system. 【0739】 (Example 2) 【0740】 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". 【0741】 In modern information processing operations, a significant amount of time and effort is spent responding to user inquiries, generating necessary documents, and verifying their validity. Furthermore, flexible responses that take into account the emotional state of individual users are required, but achieving this is difficult. Additionally, improving the quality of service requires effective analysis and feedback using user data, but existing systems struggle to adequately perform this. 【0742】 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. 【0743】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance; means for automatically generating documents necessary for the user's application using document generation; means for analyzing documents and identification photos using image recognition and verifying their authenticity; means for analyzing the user's emotional state using emotion recognition and adjusting the response content and tone; and means for analyzing collected usage data through data analysis and feeding it back into service improvement. This enables increased efficiency and improved quality of information processing operations, as well as an improved user experience. 【0744】 "Natural language processing" is a technology that analyzes user inquiries and enables machines to understand their intent. 【0745】 "Document generation" is a technology that automatically creates necessary documents based on user requests. 【0746】 "Image recognition" is a technology that analyzes image data from documents and photographs to verify the validity of their content and their suitability to requirements. 【0747】 "Emotion recognition" is a technology that reads the emotional state of a user from their voice or text and adjusts the system's response and tone accordingly. 【0748】 "Data analysis" is a technique that involves thoroughly analyzing collected usage data, extracting useful information from it, and utilizing it to improve services. 【0749】 "Information processing operations" refers to a series of business activities, including responding to inquiries and applications from users, and generating and verifying documents. 【0750】 A "server" is a central computing device used to perform information processing tasks. 【0751】 This invention is a system designed to improve the efficiency of information processing operations for local governments and other organizations. This system integrates multiple technologies and can meet the advanced needs of users. 【0752】 First, the terminal receives a voice or text inquiry from the user. The received information is analyzed by a natural language processing engine via the server. This engine understands the user's intent and identifies the appropriate action within the system. 【0753】 Next, the server uses a document generation engine to automatically generate the necessary documents in response to the user's inquiry. These documents are sent to the terminal and provided to the user electronically, or mailed upon request. 【0754】 When a user uploads documents or passport photos from their device, the server's image recognition engine analyzes them to verify the data's validity. The degree to which the image meets the requirements is also evaluated during this process. 【0755】 Furthermore, the system is equipped with an emotion recognition engine that can analyze the user's emotional state from voice and text. Based on this information, the server dynamically adjusts the tone and content of its responses, providing an environment where users can make inquiries with peace of mind. 【0756】 Ultimately, the server uses a data analysis engine to analyze data obtained from user interactions and feeds the results back into service improvements. The introduction of this system is expected to improve operational efficiency and enhance the user experience. 【0757】 For example, if a user sends a text message to their device saying "I want to proceed with moving procedures," that information can be analyzed by a natural language processing engine, and the server can then use a document generation engine to create and provide instructions on the necessary moving procedures. 【0758】 An example of a prompt message would be, "I would like to change my resident registration due to moving. Please tell me the list of required documents and how to submit them." 【0759】 This system will significantly improve the efficiency of information processing operations for local governments and other organizations, leading to increased user convenience and satisfaction. 【0760】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0761】 Step 1: 【0762】 The terminal receives user inquiries in either voice or text format. This input data is then prepared for transmission to a natural language processing engine. Specifically, this process includes speech recognition, which converts the voice data into text. 【0763】 Step 2: 【0764】 The server receives query data sent from the terminal and performs analysis via a natural language processing engine. This analysis process involves data processing to identify the user's intent and requirements. The output identifies the procedures and information the user desires. 【0765】 Step 3: 【0766】 Based on the analysis results, the server uses a document generation engine to automatically generate the necessary documents and procedural instructions that match the user's requests. These generated documents are then output and prepared for transmission to the terminal. 【0767】 Step 4: 【0768】 The terminal displays procedural instructions and generated documents sent from the server to the user. Further information can be provided by using an input device to allow the user to review the documents and enter additional information as needed. 【0769】 Step 5: 【0770】 Users upload necessary documents and passport photos to the system via their terminal. This is then passed to the image recognition engine as new input data, and the authenticity of the documents and image data is verified. 【0771】 Step 6: 【0772】 The server uses an emotion recognition engine to analyze the user's emotional state from their voice and text. This analysis helps to adjust the response tone to improve the user experience. Specifically, this includes responding in a calmer tone to reduce user anxiety. 【0773】 Step 7: 【0774】 After all procedures are completed, the server analyzes the accumulated data using a data analysis engine. This data processing extracts valuable insights for service improvement, which are then fed back into future service provision. 【0775】 In this way, the system achieves increased efficiency and improved quality in information processing tasks through multi-stage processing. 【0776】 (Application Example 2) 【0777】 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". 【0778】 Modern customer service in physical stores relies heavily on human interaction, leading to problems such as inconsistent service and delays. Furthermore, the inability to adequately consider customer emotions can result in decreased satisfaction. While there is a need for increased efficiency in store operations and reduced personnel costs, current systems fail to adequately address these challenges. 【0779】 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. 【0780】 In this invention, the server includes means for analyzing user inquiries using natural language processing and automatically providing appropriate information or procedural guidance; means for automatically generating documents necessary for the user's application using document generation; means for analyzing documents and identification photos using image recognition and verifying their authenticity; means for analyzing the user's emotional state using emotion recognition and adjusting the response content; and means for transcribing user speech in real time and providing inventory information and product descriptions. This enables improved customer service and increased operational efficiency in physical stores. 【0781】 "Natural language processing" is a technology that enables computers to understand and analyze human language. 【0782】 "Document generation" is a technology that automatically creates documents and information based on text data using a specific algorithm. 【0783】 "Image recognition" is a technology that identifies specific objects within digital images and analyzes their content. 【0784】 "Emotion recognition" is a technology that analyzes a user's emotional state based on their voice or text and responds appropriately. 【0785】 "Real-time processing" is a technology that instantly analyzes user input and provides a rapid response. 【0786】 A "physical store" refers to a real-world store facility that directly provides goods or services to customers. 【0787】 "Customer service" refers to the support and assistance that users receive while using a product or service. 【0788】 "Business efficiency improvement" means improving business processes to reduce time and costs while increasing results. 【0789】 The system implementing this invention mainly consists of a server and a terminal. The server analyzes user input using natural language processing technology and generates appropriate information and procedural guidance. NVIDIA Clara NLP is utilized for this processing. User voice input is received by the terminal and converted to text in real time using the Google Cloud Speech-to-Text API. This text data is then sent to the server and analyzed using the aforementioned NLP technology. 【0790】 Furthermore, the server automatically generates the necessary documents using document generation technology. The generated documents can be provided to the user electronically or sent via a specified method. Google Cloud Vision API is used for image recognition to check the authenticity of the documents and images used in the application. This ensures the reliability of the procedure. 【0791】 Furthermore, IBM Watson's sentiment analysis is used for emotion recognition, analyzing the user's emotional state. Based on the analysis results, the server can adjust the content and tone of its response to provide more appropriate customer service. 【0792】 AWS S3 is used for data storage and analysis. This data is used as feedback for service improvement, contributing to overall service enhancement. The collaboration between servers and terminals allows users to receive efficient and flexible support. 【0793】 For example, if a user speaks "Tell me about the new sale items" into their smartphone while in a store, the device converts the speech into text, and the server understands the request through natural language processing. The server then provides relevant sale information and guides the user in real time. 【0794】 An example of a prompt message would be, "Tell the AI ​​assistant 'Tell me about new sale items' to test the quality of the information the AI ​​provides and the speed of its response." 【0795】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0796】 Step 1: 【0797】 The user uses a device to input voice data. The device converts the user's voice into text data in real time using the Google Cloud Speech-to-Text API. The input for this process is voice, and the output is text data. 【0798】 Step 2: 【0799】 The server performs natural language processing on the text data received from the terminal using NVIDIA Clara NLP. This analyzes the user's intent and understands their specific request. The input to this process is text data, and the output is data indicating the user's request. 【0800】 Step 3: 【0801】 The server retrieves the necessary information from the database based on the request. It also automatically generates documents as needed using a document generation engine. The input to this process is the user's request, and the output is the information and documents provided to the user. 【0802】 Step 4: 【0803】 If optional, the server uses the Google Cloud Vision API to recognize image data received from the user and verify the authenticity of documents and images. The input to this process is image data, and the output is the result of the authenticity verification. 【0804】 Step 5: 【0805】 The server uses IBM Watson sentiment analysis to analyze the sentiment of text data. Based on this, it adjusts the tone and content of the response. The input to this process is the text data, and the output is the adjusted response data. 【0806】 Step 6: 【0807】 The server stores the obtained data in AWS S3 and analyzes it for future service improvements. The input to this process is the data obtained at each processing step, and the output is feedback data for service improvement. 【0808】 Step 7: 【0809】 Information and documents created by the server are provided to the user via the terminal. Store information and product guides are also displayed to the user in real time. The input for this process is the information to be provided, and the output is the final information displayed on the user's terminal. 【0810】 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. 【0811】 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. 【0812】 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. 【0813】 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. 【0814】 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. 【0815】 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. 【0816】 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. 【0817】 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. 【0818】 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." 【0819】 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. 【0820】 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. 【0821】 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. 【0822】 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. 【0823】 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. 【0824】 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. 【0825】 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. 【0826】 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. 【0827】 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. 【0828】 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. 【0829】 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. 【0830】 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. 【0831】 The following is further disclosed regarding the embodiments described above. 【0832】 (Claim 1) 【0833】 A means of automatically providing appropriate information or guidance on procedures by analyzing user inquiries using natural language processing, 【0834】 A means of automatically generating the documents necessary for a user's application through document generation, 【0835】 A means of analyzing documents and identification photos using image recognition to verify their authenticity, 【0836】 A means of analyzing usage data collected through data analysis and feeding it back into service improvement, 【0837】 A system that integrates these elements and includes means to automate counter services. 【0838】 (Claim 2) 【0839】 The system according to claim 1, which processes information provided by users via input devices in real time, maintains communication with users through interactive functions, and streamlines counter services. 【0840】 (Claim 3) 【0841】 The system according to claim 1, further comprising an interface for electronically providing application documents automatically generated by the document generation means to a user, or providing an option for postal delivery. 【0842】 "Example 1" 【0843】 (Claim 1) 【0844】 A means of analyzing user input using natural language processing, understanding the user's intent, and determining the appropriate procedural steps, 【0845】 A means of automatically generating the documents necessary for the user's application using a document creation function, 【0846】 A means of verifying supplementary documents and photographs using image processing technology and confirming the accuracy of their format, 【0847】 The data analysis function allows for the analysis of procedural data collected and its use in service improvement. 【0848】 A system that integrates these elements to automate and streamline counter services. 【0849】 (Claim 2) 【0850】 The system according to claim 1, which transmits user requests to a server via a network and proceeds with the procedure by receiving instructions based on the analysis results. 【0851】 (Claim 3) 【0852】 The system according to claim 1, comprising an interface for providing the generated documents to the user electronically for verification or for providing delivery options. 【0853】 "Application Example 1" 【0854】 (Claim 1) 【0855】 A means of automatically providing appropriate information or guidance on procedures by analyzing user inquiries using natural language processing, 【0856】 A means of automatically generating the documents necessary for a user's application through document generation, 【0857】 A means of analyzing documents and identification images using image recognition to verify their authenticity, 【0858】 A means of analyzing usage data collected through data analysis and feeding it back into service improvement, 【0859】 A means of receiving information provided by a user via voice or text using the dialogue function of an information processing device, and assisting the user's operation, 【0860】 A means of presenting the generated document to the user electronically and providing the option of providing it in print media as needed, 【0861】 A system that integrates these elements and includes means to streamline business procedures. 【0862】 (Claim 2) 【0863】 The system according to claim 1, which immediately processes information provided by the user via an information processing device, maintains communication with the user through an interactive operation support function, and streamlines procedures. 【0864】 (Claim 3) 【0865】 The system according to claim 1, further comprising the option of electronically presenting the application document automatically generated by the document generation means to the user, or providing it as a printed medium. 【0866】 "Example 2 of combining an emotion engine" 【0867】 (Claim 1) 【0868】 A means of automatically providing appropriate information or guidance on procedures by analyzing user inquiries using natural language processing, 【0869】 A means of automatically generating the documents necessary for a user's application through document generation, 【0870】 A means of analyzing documents and identification photos using image recognition to verify their authenticity, 【0871】 A means of analyzing the user's emotional state through emotion recognition and adjusting the content and tone of responses, 【0872】 A means of analyzing usage data collected through data analysis and feeding it back into service improvement, 【0873】 A system that integrates these elements and includes means to automate information processing tasks. 【0874】 (Claim 2) 【0875】 The system according to claim 1, which processes information provided by users via an input device in real time, maintains communication with users through interactive functions, and streamlines information processing operations. 【0876】 (Claim 3) 【0877】 The system according to claim 1, further comprising an interface that provides to a user electronically the application documents automatically generated by the document generation means, or provides an option for sending them. 【0878】 "Application example 2 when combining with an emotional engine" 【0879】 (Claim 1) 【0880】 A means of automatically providing appropriate information or guidance on procedures by analyzing user inquiries using natural language processing, 【0881】 A means of automatically generating the documents necessary for a user's application through document generation, 【0882】 A means of analyzing documents and identification photos using image recognition to verify their authenticity, 【0883】 A means of analyzing usage data collected through data analysis and feeding it back into service improvement, 【0884】 A means of analyzing the user's emotional state through emotion recognition and adjusting the response content, 【0885】 A means of transcribing user speech in real time and providing inventory information and product descriptions, 【0886】 A system that integrates these elements and includes means to automate operations in physical stores. 【0887】 (Claim 2) 【0888】 The system according to claim 1, which processes voice input provided by a user via an input device, and uses an interactive function to provide the user with product information or store information while streamlining store operations. 【0889】 (Claim 3) 【0890】 The system according to claim 1, further comprising an interface that provides the user with the option to electronically provide the information automatically generated by the document generation means or to send the document. [Explanation of symbols] 【0891】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A means of automatically providing appropriate information or guidance on procedures by analyzing user inquiries using natural language processing, A means of automatically generating the documents necessary for a user's application through document generation, A means of analyzing documents and identification photos using image recognition to verify their authenticity, A means of analyzing usage data collected through data analysis and feeding it back into service improvement, A system that integrates these elements and includes means to automate counter services. [Claim 2] The system according to claim 1, which processes information provided by users via input devices in real time, maintains communication with users through interactive functions, and streamlines counter services. [Claim 3] The system according to claim 1, further comprising an interface for electronically providing application documents automatically generated by the document generation means to a user, or providing an option for postal delivery.

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