System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving text input by a user; means for analyzing the received text using natural language processing to identify a need of the user; means for searching a database for an appropriate welfare service based on the identified need; means for providing personalized advice to the user based on the search result; and means for providing a specific application procedure corresponding to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In modern society, there are many people who need public assistance and welfare services, but information about these services is difficult to understand, making it difficult to quickly find the appropriate service. In addition, the application procedures are complicated and often require specialized knowledge, placing a heavy burden on users to complete the procedures. For this reason, a system is needed to help users select the appropriate welfare service and complete the application procedures smoothly. [Means for solving the problem]

[0005] The present invention provides a system that receives text entered by a user, analyzes it using natural language processing to identify the user's needs, and searches a database for appropriate welfare services based on those needs. Furthermore, the system provides the user with personalized advice based on the search results and guides them through specific application procedures. The system also obtains additional information in response to the user's question and generates an optimal answer, enabling the system to quickly and accurately provide the information the user needs. This allows users to easily find appropriate welfare services and reduce the burden of the application process.

[0006] "User" refers to an individual who needs information or support from welfare services.

[0007] "Text" refers to information in the form of text that a user inputs into a system.

[0008] "Natural language processing" refers to the technology that allows computers to analyze human language and understand user text.

[0009] "Needs" refers to the problems or situations that users want to solve through welfare services.

[0010] "Welfare services" refers to public systems and services to support daily life, such as welfare assistance, unemployment insurance, and housing allowances.

[0011] A "database" refers to a collection of information on welfare services that is managed in an organized manner and stored in a searchable format.

[0012] "Search" refers to the operation of finding information that matches specific conditions from a database.

[0013] "Advice" means advice or recommendations for appropriate user action.

[0014] "Application procedures" refers to the submission of documents and procedures required to use welfare services.

[0015] "Additional Information" refers to supplemental information provided in response to a user's specific question or situation.

[0016] "Answer" refers to information or explanation provided in response to a user's question. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0018] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0021] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0022] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0023] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, 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), Bluetooth (registered trademark), etc.

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 1, a 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.

[0028] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0030] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0031] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0035] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0037] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0038] The system of the present invention helps users find appropriate welfare services and efficiently complete the application process. The system uses natural language processing based on user input to search for appropriate services and provide personalized advice.

[0039] The overall flow of the system begins with the user entering text from their device. The user then enters their situation and needs into the chatbot on the LINE app. This text is then sent from the device to the server.

[0040] The server then passes the received text to a natural language processing (NLP) engine for analysis. The NLP engine extracts the user's needs from the text and uses that information to search a database for appropriate welfare services. The search results are then returned to the server, which identifies the services and procedures that best fit the user's situation.

[0041] The device displays search results and advice sent from the server to the user. For example, if a user enters "I'm unemployed and can't pay my rent," the server will identify related welfare services, such as unemployment insurance and public assistance, and provide detailed information. The user will then be given detailed advice on how to use these services, the documents required for application procedures, and where to apply.

[0042] As a specific example, consider the case where a user enters the message "I'm unemployed and can't pay my rent." The server analyzes this message and identifies that the user is in financial difficulty. The server then searches a database for information on unemployment insurance and welfare assistance, and recommends welfare assistance as the most appropriate service. The terminal displays a message to the user saying, "The following procedures are required to apply for welfare assistance. First, please prepare your ID, income certificate, resident registration card, and household account book." It also provides specific information such as, "The nearest social welfare office is here. The address is XXXX."

[0043] If the user has any additional questions, the questions are sent to the server via the device. The server analyzes the questions, generates an appropriate answer from the database, and returns it to the device. For example, if the user asks, "Where can I get a resident registration card?", the server will provide specific information such as, "You can get a resident registration card at your city hall or ward office."

[0044] In this way, the system of the present invention can quickly and accurately provide users with information on the welfare services they need and the application procedures, allowing them to easily find appropriate services and smoothly proceed with the procedures to improve their living environment.

[0045] The processing flow will be explained below.

[0046] Step 1:

[0047] The user launches the LINE app and accesses the "LINE Welfare Navi" chatbot.

[0048] The device will display a prompt asking, "What kind of assistance are you looking for?"

[0049] Step 2:

[0050] Users enter their situation and needs in text form (e.g., "I'm unemployed and can't pay my rent").

[0051] The terminal receives the entered text and sends it to the server as is.

[0052] Step 3:

[0053] The server passes the received text to a natural language processing (NLP) engine to begin analysis.

[0054] An NLP engine analyzes the text and extracts the user's needs (e.g., "financial hardship").

[0055] Step 4:

[0056] The server searches the database for appropriate welfare services based on the analysis results returned by the NLP engine.

[0057] The search results will include multiple welfare services (e.g., "unemployment insurance" and "welfare assistance").

[0058] Step 5:

[0059] The server evaluates the search results and selects the welfare services that best suit the user's needs.

[0060] Obtain detailed information about the selected welfare service (required documents, application procedures, etc.).

[0061] Step 6:

[0062] The terminal presents the selection results and detailed information sent from the server to the user.

[0063] For example: "You may want to apply for welfare. If you would like to know the details of the procedure, please answer 'Yes'."

[0064] Step 7:

[0065] The user indicates a desire for more information (e.g., "Yes, I'd like to know more").

[0066] The terminal sends this message to the server.

[0067] Step 8:

[0068] The server receives the user's request and generates specific procedural information regarding the application for welfare benefits.

[0069] Examples: Required documents (ID, income certificate, resident registration, household account book), application address, application method, etc.

[0070] Step 9:

[0071] The terminal displays the specific procedure information generated to the user.

[0072] Example: "I will explain the procedure for applying for welfare benefits. First, the documents you will need are your ID, proof of income, resident registration, and household account book. Please prepare these."

[0073] Step 10:

[0074] The user asks a follow-up question (e.g., "Where can I get my residency card?").

[0075] The terminal sends this question to the server.

[0076] Step 11:

[0077] The server analyzes the user's question and generates the most appropriate answer (e.g., "You can obtain a resident registration card at your city hall or ward office.").

[0078] The device displays this answer to the user.

[0079] Step 12:

[0080] The user takes action based on the displayed information (e.g., goes to city hall and obtains a resident registration card).

[0081] In this way, users can consistently receive all the information they need to properly access the welfare services they need.

[0082] Example 1

[0083] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0084] In modern society, users face difficulties in finding appropriate support services and the complicated application process. This problem is particularly serious for elderly people and users with little knowledge of welfare services, who need support to improve their living environment. Furthermore, when users have additional questions, they often find it difficult to receive prompt and accurate answers.

[0085] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0086] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate support services based on the identified needs, means for providing the user with personalized advice based on the search results, means for providing the user with corresponding specific procedures, means for analyzing follow-up questions from the user and generating and presenting appropriate answers from the database, and means for identifying support services using the natural language processing engine and the search query. This allows the user to quickly and easily find appropriate support services and smoothly proceed with specific application procedures. In addition, the user can also receive quick and accurate answers when asking follow-up questions.

[0087] "User" refers to any individual or legal entity that uses the System.

[0088] "Input" refers to the act of a user providing textual information to a system.

[0089] "Server" refers to a central processing unit that processes received text information and generates and provides appropriate information.

[0090] "Natural language processing" refers to technology for analyzing text data and understanding linguistic meaning and intent.

[0091] "Needs" refer to the specific requests or problems that users want to solve through the system.

[0092] A "database" refers to an information management system that systematically stores a large amount of information and allows it to be searched and retrieved as needed.

[0093] "Support services" refers to various public or private services provided based on user needs.

[0094] "Search Results" refers to a collection of information extracted from a database that meets a user's needs.

[0095] "Advice" refers to specific solutions or suggestions provided to users.

[0096] "Procedure" refers to the formal method or procedure required for a user to receive a particular service or support.

[0097] A "question" is a query made by a user to the system requesting additional information or clarification.

[0098] "Answer" refers to the specific information or explanation the system provides in response to a user's question.

[0099] "Natural language processing engine" refers to a software component for analyzing text data and extracting meaning.

[0100] "Search query" refers to the commands or conditions used to retrieve specific information from a database.

[0101] "Identification" refers to the act of the system identifying and presenting appropriate information and services based on the user's needs and questions.

[0102] MODE FOR CARRYING OUT THE INVENTION

[0103] The system of the present invention is designed to enable users to find appropriate support services and efficiently proceed with application procedures. How the system can be implemented will be described below in detail.

[0104] Overview of Program Generation and Processing

[0105] The system consists of three main components for data processing: a server, a terminal, and a user. The server uses a natural language processing engine and a database to analyze the user's input data and search for and provide appropriate support services.

[0106] Hardware and software used

[0107] 1. Server: Use a high-performance cloud server or physical server. Examples include AWS (Amazon Web Services) and Google Cloud Platform.

[0108] 2. Natural language processing engines: Use generative AI models such as Google's BERT or OpenAI's GPT-3.

[0109] 3. Database: Use a relational database management system such as PostgreSQL or MySQL.

[0110] 4. Devices: This includes smartphones and computers used by users, as well as messaging platforms such as the LINE app.

[0111] Details of data processing and calculation

[0112] Users use the LINE app on their smartphones to input their situation and needs, such as "I'm unemployed and can't pay my rent." This input data is sent from the device to the server.

[0113] The server analyzes the text data using a natural language processing engine (e.g., GPT-3) to extract the user's needs. For example, keywords such as "unemployment," "rent," and "poverty" are obtained as analysis results.

[0114] The server then issues a search query based on these keywords to a database, which returns information about support services that match the keywords, such as "welfare" or "unemployment insurance."

[0115] The server generates the search results as JSON format data and sends it to the device. The JSON data includes details of the service, the documents required for the application procedure, and the application location.

[0116] The device parses this JSON data and displays it visually to the user in an easy-to-understand format, allowing the user to understand the support services they need and the specific procedures they need to follow.

[0117] If the user asks a follow-up question, it is sent to the server via the device, where it is parsed, retrieved from the database, and returned to the device, also in JSON format, for display to the user.

[0118] Examples and prompts

[0119] As a concrete example, if a user types "I'm unemployed and can't pay my rent" into a chatbot on the LINE app, the following prompt text will be sent to the server.

[0120] Example prompt sentence:

[0121] User input: "I'm unemployed and can't pay my rent."

[0122] The server analyzes this using a natural language processing engine and responds as follows:

[0123] Analysis result: "To apply for unemployment insurance, please follow the procedure below. Required documents include ID, proof of income, residence card, and household account book."

[0124] In this way, the system of the present invention can quickly and accurately provide users with information on the support services they need and the application procedures, allowing them to easily find appropriate services and smoothly proceed with the procedures to improve their living environment.

[0125] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0126] Step 1: User Input

[0127] Description: Users input their situation and needs into the chatbot on the LINE app.

[0128] Specific operation: The user opens the LINE app on their smartphone, types "I'm unemployed and can't pay my rent," and sends it.

[0129] Input: "I'm unemployed and can't pay my rent."

[0130] Output: Text data entered by the user

[0131] Step 2: Send a text

[0132] Description: The terminal receives text entered by the user and sends it to the server.

[0133] Specific operation: When the send button is pressed on the device, text data is sent to the server via the HTTPS protocol.

[0134] Input: Text data entered by the user

[0135] Output: Text data sent to the server

[0136] Step 3: Text analysis

[0137] Description: The server passes the received text to a natural language processing engine for analysis. The NLP engine extracts the user's specific needs and circumstances from the received text.

[0138] How it works: The server receives the text and passes it to an NLP engine (e.g., GPT-3), which extracts keywords such as "unemployment," "rent," and "financial hardship."

[0139] Input: Text data sent to the server

[0140] Output: Keywords extracted by the NLP engine

[0141] Step 4: Service Discovery

[0142] Description: The server searches the database for appropriate welfare services based on the extracted needs.

[0143] How it works: The server generates an SQL query based on the keywords obtained from the NLP engine and queries the database. The database returns related services such as "unemployment insurance" and "welfare assistance."

[0144] Input: Keywords extracted by the NLP engine

[0145] Output: Related service information returned from the database

[0146] Step 5: Search results presentation

[0147] Description: The device receives search results and advice sent from the server and displays them to the user.

[0148] Specific operation: The server sends the search results (e.g., JSON format data) to the terminal via HTTPS. The terminal parses the data and displays it in a user-friendly format.

[0149] Input: Related service information returned from the database

[0150] Output: Search results and advice displayed to the user

[0151] Step 6: Additional Question Processing

[0152] Description: When the user asks a follow-up question, the question is sent to the server via the device. The server analyzes the question, generates an appropriate answer from the database, and returns it to the device.

[0153] Specific operation: The user asks, "Where can I get a resident registration card?" The device sends the question to the server. The server analyzes the question, retrieves information about city halls and ward offices from a database, and generates an answer. The device receives the answer and displays it to the user.

[0154] Input: Additional question from the user

[0155] Output: The answer retrieved from the database and displayed

[0156] In this way, the entire system works together to provide users with fast and effective support. At each step, the necessary data processing and calculations are performed based on the input data, and the results are used as input for the next step.

[0157] (Application example 1)

[0158] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0159] In the past, it was difficult to ensure security during the welfare service search and application process, as users' personal information could be subject to unauthorized access and fraud. Another problem was the insufficient support system for users to find appropriate welfare services quickly and efficiently. This led to delays in the use of many welfare services, resulting in situations where users were unable to receive the support they needed.

[0160] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0161] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate welfare services based on the identified needs, means for providing the user with personalized advice based on the search results, means for providing the user with specific application procedures corresponding to the user, means for encrypting the data entered by the user and managing it in a secure server, and means for returning the encrypted data to the user terminal. This makes it possible to search for appropriate welfare services and complete application procedures quickly and efficiently while ensuring the safety of the user's personal information.

[0162] "User" refers to any individual or entity that uses the System.

[0163] "Entered Text" means a document containing information or requests that a User submits to the System.

[0164] "Means for receiving" refers to the function for incorporating text entered by a user into the system.

[0165] "Natural language processing" refers to the technology that allows computers to understand and analyze human language.

[0166] "Means for analyzing and identifying user needs" refers to the functionality of using natural language processing technology to analyze user input and extract specific requests and requirements from it.

[0167] A "database" refers to a system for efficiently storing, searching, and managing large amounts of data.

[0168] "Searching means" refers to the function for locating appropriate information from a database based on analysis.

[0169] "Means for providing personalized advice" refers to a function that provides users with the most appropriate advice or suggestions based on search results.

[0170] "Means for providing application procedures" refers to the function for informing users of the specific procedures and information on required documents.

[0171] "Encryption" refers to the technology of converting data into a form that cannot be deciphered by third parties.

[0172] A "secure server" refers to a computer system that has the functionality to securely store data and protect it from unauthorized access.

[0173] "User terminal" refers to a device used by a user, such as a computer or smartphone.

[0174] "Means for returning" refers to the function for sending data from the server to the user terminal.

[0175] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings.

[0176] 1. System Configuration

[0177] This invention is realized by a system including a user terminal, a server, and a secure database. The user terminal is a smartphone, tablet, or PC, and receives text data entered by the user. The server receives this text data, analyzes it using natural language processing, and recommends appropriate welfare services based on the results. Furthermore, the server has a security function that encrypts the input data and returns it to the user terminal.

[0178] 2. Hardware and Software Use

[0179] User devices: smartphones (iOS, Android, etc.), tablets, PCs

[0180] Server: Python and web frameworks such as Django, cryptography libraries (e.g., cryptography)

[0181] Natural Language Processing Engines: NLP tools (e.g., NLTK, spaCy)

[0182] 3. Data processing and calculation

[0183] The server receives text data entered by the user on the device. The received data is analyzed by a natural language processing engine to identify the user's needs. It then searches a database for appropriate welfare services and generates personalized advice based on the user's situation. These results are then encrypted and sent back to the user's device.

[0184] 4. Specific Examples

[0185] For example, if a user enters "I'm unemployed and can't pay my rent," the server analyzes this message and identifies that the user is in financial difficulty. The server then searches its database for information on welfare and unemployment insurance and recommends welfare as the most suitable service. The device displays a message to the user saying, "To apply for welfare, you must follow the steps below. First, please prepare your identity card and proof of income." Furthermore, the details are sent back to the user's device in encrypted form, protecting the user's personal information.

[0186] 5. Examples of prompts

[0187] Below is an example of a prompt sentence.

[0188] Design an application that encrypts and securely processes user input such as "I'm unemployed and can't pay my rent" and implement the server-side encryption process in Python / Django.

[0189] This allows users to search for appropriate welfare services and complete application procedures quickly and efficiently in a secure environment.

[0190] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0191] Step 1:

[0192] Users input text data using devices such as smartphones or PCs. The input data includes information about welfare services the user needs and questions.

[0193] Input: Text data entered by the user (e.g., "I'm unemployed and can't pay my rent")

[0194] Output: The entered text data is sent from the terminal to the server.

[0195] Step 2:

[0196] The terminal sends the text data entered by the user to the server, which then incorporates the user's request into the system.

[0197] Input: User's text data

[0198] Output: Text data sent to the server

[0199] Step 3:

[0200] The server passes the received text data to a natural language processing engine for analysis, which extracts the user's needs from the text.

[0201] Input: Received text data

[0202] Data processing: Text analysis using natural language processing (e.g., identifying that a user is in financial difficulty)

[0203] Output: Analysis results (user needs)

[0204] Step 4:

[0205] The server searches the database for appropriate welfare services based on the extracted needs, and the search results are those that meet the user's situation and requirements.

[0206] Input: Analysis results (user needs)

[0207] Data search: Search for relevant welfare services from the database (e.g., unemployment insurance, welfare assistance)

[0208] Output: Search results (information on appropriate welfare services)

[0209] Step 5:

[0210] The server then creates personalized advice for the user based on the search results, including which services are suitable, how to apply, and what documents are required.

[0211] Input: Search results (information on appropriate welfare services)

[0212] Data processing: advice generation

[0213] Output: Specific advice (e.g., "You need ID to apply for welfare").

[0214] Step 6:

[0215] The server encrypts the data entered by the user and the advice provided and stores it on a secure server, ensuring the safety of the data.

[0216] Input: User-entered and advice data

[0217] Data processing: Data encryption

[0218] Output: Encrypted data

[0219] Step 7:

[0220] The server then sends the encrypted data back to the user's device, allowing the user to receive the information in a secure manner.

[0221] Input: Encrypted data

[0222] Output: Encrypted data sent back to the user device

[0223] Step 8:

[0224] The device receives the encrypted data returned from the server and presents it to the user, allowing the user to securely obtain the information and advice they need.

[0225] Input: Encrypted data sent back from the server

[0226] Output: Advice and information presented to the user

[0227] Through these steps, users can quickly and efficiently search for and apply for appropriate welfare services in a secure environment.

[0228] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0229] The system of the present invention not only helps users find appropriate welfare services and efficiently process applications, but also recognizes the user's emotions and provides support accordingly. The system uses natural language processing and an emotion engine based on user input to search for appropriate services and provide personalized advice.

[0230] The overall flow of the system begins with the user entering text from their device. The user then enters their situation and needs into the chatbot on the LINE app. This text is then sent from the device to the server.

[0231] The server then passes the received text to a natural language processing (NLP) engine for analysis. The NLP engine extracts the user's needs from the text and uses that information to search a database for appropriate welfare services. The search results are then returned to the server, which identifies the services and procedures that best fit the user's situation.

[0232] This is where the emotion engine, a distinctive feature of the present invention, is added. At the same time, the server also passes the user's input text to the emotion engine to recognize the user's emotional state. The emotion engine determines the emotion from the user's linguistic expression and returns the result to the server.

[0233] The device combines the search results sent from the server with the analysis results of the emotion engine to present appropriate advice to the user. For example, if a user enters "I'm unemployed and can't pay my rent," the server will identify relevant welfare services, such as unemployment insurance and welfare assistance, and provide detailed information. Furthermore, if the emotion engine recognizes strong anxiety or impatience in the user's input, it will also present a special message tailored to that emotional state (e.g., "Don't worry, we'll help you").

[0234] As a specific example, consider the case where a user types, "I'm unemployed and can't pay my rent. What should I do?" The server analyzes this message and identifies that the user is in financial difficulty. The server then searches a database for information on unemployment insurance and welfare assistance, and recommends welfare assistance as the most appropriate service. At the same time, the emotion engine recognizes emotions of anxiety and fear from the user's input. The device displays the message, "You might want to apply for welfare assistance. First, please prepare your ID, income certificate, resident registration card, and household account book. Don't worry, we're always here to help if you have any questions."

[0235] Furthermore, if the user has additional questions, the questions are sent to the server via the device. The server analyzes the content of the question, generates an appropriate answer from its database, and returns it to the device. For example, if the user asks, "Where can I get a resident registration card?", the server will provide specific information such as, "You can get a resident registration card at your city hall or ward office." On the other hand, if the emotion engine recognizes impatience or confusion in the user's question, it will display an additional encouraging message on the device, such as, "There's no need to rush. We'll help you with any information you need."

[0236] In this way, the system of the present invention not only provides users with the information and application procedures for the welfare services they need quickly and accurately, but also provides support tailored to the user's emotional state, allowing users to easily find appropriate services and smoothly proceed with the procedures to improve their living environment, while also creating an environment where they can consult with peace of mind.

[0237] The processing flow will be explained below.

[0238] Step 1:

[0239] The user launches the LINE app and accesses the "LINE Welfare Navi" chatbot.

[0240] The device will display a prompt asking, "What kind of assistance are you looking for?"

[0241] Step 2:

[0242] Users enter their situation and needs in text form (e.g., "I'm unemployed and can't pay my rent").

[0243] The terminal receives the entered text and sends it to the server as is.

[0244] Step 3:

[0245] The server passes the received text to a natural language processing (NLP) engine to begin analysis.

[0246] An NLP engine analyzes the text and extracts the user's needs (e.g., "financial hardship").

[0247] Step 4:

[0248] The server passes the extracted needs information to the emotion engine.

[0249] The emotion engine recognizes the user's emotional state from the text they input (e.g., "anxiety" or "impatience").

[0250] Step 5:

[0251] The server searches a database for appropriate welfare services based on the identified needs and emotional state.

[0252] The search results will include multiple welfare services (e.g., "unemployment insurance" and "welfare assistance").

[0253] Step 6:

[0254] The server evaluates the search results and selects the welfare services that best suit the user's needs and feelings.

[0255] Obtain detailed information about the selected welfare service (required documents, application procedures, etc.).

[0256] Step 7:

[0257] The terminal presents the search results, sentiment analysis results, and detailed information sent from the server to the user.

[0258] For example: "You might want to apply for welfare. First, prepare your ID, proof of income, residence card, and household account book. Don't worry, we'll help you."

[0259] Step 8:

[0260] The user indicates a desire for more information (e.g., "Yes, I'd like to know more").

[0261] The terminal sends this message to the server.

[0262] Step 9:

[0263] The server receives the user's request and generates specific procedural information regarding the application for welfare benefits.

[0264] Examples: Required documents (ID, income certificate, resident registration, household account book), application address, application method, etc.

[0265] Step 10:

[0266] The terminal displays the specific procedure information generated to the user.

[0267] Example: "I will explain the procedure for applying for welfare benefits. First, the documents you will need are your ID, proof of income, resident registration, and household account book. Please prepare these."

[0268] Step 11:

[0269] The user asks a follow-up question (e.g., "Where can I get my residency card?").

[0270] The terminal sends this question to the server.

[0271] Step 12:

[0272] The server analyzes the user's question and generates the most appropriate answer (e.g., "You can obtain a resident registration card at your city hall or ward office.").

[0273] The device displays this answer to the user.

[0274] Step 13:

[0275] If the server determines based on the results of the emotion engine that the user is feeling anxious or impatient, it generates an additional encouraging message such as, "There's no need to rush. Don't worry, we're always here to help you."

[0276] Step 14:

[0277] The terminal displays this additional message to the user.

[0278] In this way, users can receive all the information and emotional support they need to make the most of the welfare services they need.

[0279] Example 2

[0280] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0281] In modern society, a variety of welfare services are available, but it is difficult for users to find appropriate services and smoothly go through the application process. Furthermore, when using welfare services, users often need emotional support. For users facing financial hardship or emergencies, emotional support is especially important, rather than simply providing information. Conventional systems lack support that takes into account the user's emotional state, and are unable to improve users' sense of security or satisfaction.

[0282] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0283] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate welfare services based on the identified needs, means for recognizing emotions from the user's input text, means for providing the user with personalized advice based on the search results and the emotion recognition results, and means for providing the user with specific application procedures. This enables users to not only receive information, but also to quickly and accurately find the welfare services they need and proceed with the application procedures with peace of mind while receiving support that is sensitive to their emotions.

[0284] "User" refers to a person who uses this system to search for information on welfare services and complete application procedures.

[0285] "Means for receiving text" refers to a device or software that receives text data entered by a user and obtains it in a processable form.

[0286] "Natural language processing" refers to the technology that enables computers to understand, analyze, and generate human language.

[0287] "Means for identifying needs" refers to methods and technologies for extracting the user's requests and required assistance from the text entered by the user.

[0288] "Database retrieval means" refers to methods and techniques for locating relevant information and services from data stores based on identified needs.

[0289] "Means for recognizing emotions" refers to technologies and methods for analyzing and determining the emotional state of a user from the text they enter.

[0290] "Means for providing personalized advice" refers to methods and technologies that provide users with optimal advice and instructions based on search results and emotion recognition results.

[0291] "Means for providing application procedures" refers to methods or technologies that guide users through the specific steps and document information required to apply for specific welfare services.

[0292] "Means for obtaining additional information" refers to the methods and techniques used to collect necessary data or information in response to a user's follow-up questions or requests.

[0293] "Means for providing optimal answers" refers to methods and technologies for analyzing a user's question and generating and providing the most appropriate answer to that question.

[0294] The present invention is a system that allows users to find appropriate welfare services and efficiently process applications, and in particular, recognizes the user's emotions and provides support accordingly. Specific embodiments of this system are described in detail below.

[0295] The basic structure of the system begins with the user entering text using a device. The user uses the chatbot on the LINE app to enter their situation and needs in text format. This entered text is then sent from the device to the server.

[0296] Details of the hardware and software used:

[0297] 1. Device:

[0298] Mobile devices such as smartphones and tablets used by users.

[0299] The LINE application is installed.

[0300] Internet connection is available.

[0301] 2. Server:

[0302] Use high-performance cloud servers or dedicated servers.

[0303] Equipped with a natural language processing engine (e.g., SpaCy, NLTK).

[0304] Equipped with a sentiment analysis engine (e.g., Google Cloud Natural Language API, IBM Watson Tone Analyzer).

[0305] Uses databases (e.g., MySQL, PostgreSQL) to manage welfare service information.

[0306] The specific process of the system:

[0307] 1. User enters text:

[0308] Users input their concerns into the chatbot on the LINE app, such as, "I've lost my job and can't pay my rent. What should I do?"

[0309] 2. The device sends a text:

[0310] The terminal encrypts the text data entered by the user and transmits it to the server using a security protocol.

[0311] 3. The server parses the text:

[0312] The server sends the received text to a natural language processing engine (e.g., SpaCy) to analyze the user's needs. The analyzed needs (e.g., unemployment, difficulty paying rent) are extracted and appropriate welfare services are searched for in a database.

[0313] 4. Emotion analysis:

[0314] At the same time, the server passes the text data to an emotion analysis engine (e.g., Google Cloud Natural Language API) to analyze the user's emotional state and obtains the analysis result (e.g., anxiety, impatience).

[0315] 5. Integration of results and message generation:

[0316] The server integrates the analysis results with the sentiment analysis results and generates a message that provides optimal advice to the user.

[0317] For example, you might receive a message saying, "You may want to apply for welfare. First, please prepare your identification, income certificate, resident registration card, and household account book. If you have any questions, don't worry, we're always here to help."

[0318] 6. Send the results to your device:

[0319] The generated message is sent from the server to the terminal and displayed to the user.

[0320] Examples:

[0321] If the user types "I'm unemployed and can't pay my rent, what should I do?", the server processes it as follows:

[0322] 1. A natural language processing engine analyzes "unemployment" and "difficulty paying rent" and searches a database for relevant welfare services (e.g., unemployment insurance, welfare assistance).

[0323] 2. The emotion analysis engine analyzes "anxiety" and "impatience."

[0324] 3. A message will be generated and displayed on the device stating, "You may want to apply for welfare benefits. First, please prepare your identification, proof of income, resident registration, and household account book. If you have any questions, please rest assured that we are always here to help you."

[0325] Example prompt sentence:

[0326] "If I lose my job and can't pay my rent, what welfare services are available to me?"

[0327] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0328] Step 1:

[0329] The user enters the problem or inquiry content in text format.

[0330] Specifically, the user enters a question into the chatbot on the LINE app, such as "I've lost my job and can't pay my rent, what should I do?", and taps the send button. The text "I've lost my job and can't pay my rent, what should I do?" is obtained as input.

[0331] Step 2:

[0332] The terminal sends the entered text to the server.

[0333] Specifically, the terminal encrypts the input text data using Secure Sockets Layer (SSL) technology and sends it to the server via the Internet. The input is the user's text data, and the encrypted data is sent as the output.

[0334] Step 3:

[0335] The server passes the received text to the natural language processing engine to begin analysis.

[0336] Specifically, the server invokes a natural language processing engine (e.g., SpaCy) that uses a generative AI model to analyze the text and extract key keywords and needs (e.g., "unemployed," "difficulty paying rent"). The input is the received text, and the output is the analyzed keywords.

[0337] Step 4:

[0338] The server uses a sentiment analysis engine to recognize the emotional state of the text.

[0339] Specifically, the server passes the text to an emotion analysis engine (e.g., Google Cloud Natural Language API) to determine the emotional state (e.g., "anxiety" or "impatience"). The input is the text to be analyzed, and the output is the emotion analysis result.

[0340] Step 5:

[0341] The server searches the database for appropriate welfare services based on the results of natural language processing.

[0342] Specifically, the server issues an SQL query to a database such as MySQL to retrieve information about related welfare services (e.g., unemployment insurance, welfare assistance). The input is the parsed keyword, and the output is welfare service information.

[0343] Step 6:

[0344] The server integrates the search results with the sentiment analysis results and generates a message to be provided to the user.

[0345] Specifically, the server combines the results of natural language processing and sentiment analysis to generate a message that reads, "You might want to apply for welfare. First, please prepare your ID, income certificate, resident registration, and household account book. If you have any questions, don't worry, we're always here to help you." The inputs are the database search results and the sentiment analysis results, and the output is a message for the user.

[0346] Step 7:

[0347] The server generates a message and sends it to the terminal.

[0348] Specifically, the server encrypts the generated message using SSL technology and sends it to the terminal. The generated message is the input, and the encrypted data is sent to the terminal as the output.

[0349] Step 8:

[0350] The terminal displays the received message to the user.

[0351] Specifically, the device receives the encrypted data sent from the server, decrypts it, and displays a message to the user saying, "You might want to apply for welfare. First, please prepare your ID, income certificate, resident registration card, and household account book. If you have any questions, please don't worry, we're always here to help you." The input is the received encrypted data, and the output is the message to be displayed.

[0352] (Application example 2)

[0353] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0354] Conventional welfare service support systems only search for and provide services that meet the user's needs, but lack support that takes into account the user's emotional state. Furthermore, in work environments such as factories, there is a lack of technology that can monitor the emotions and stress levels of workers in real time and respond appropriately. Therefore, there is a need for appropriate support that reduces the mental burden on users and workers while allowing them to continue working efficiently.

[0355] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate services based on the identified needs, means for providing individual advice to the user based on the search results, means for providing specific application procedures corresponding to the user, means for recognizing the user's emotions, means for providing additional advice based on the recognized emotions, and means for monitoring the emotional state of workers in the work environment and providing break and work advice according to the emotional state. This enables efficient support for work performance while reducing the mental burden on users and workers.

[0356] The "means for receiving text entered by a user" refers to a device or system having a function for receiving text data entered by a user through a terminal.

[0357] "Means for analyzing received text using natural language processing and identifying user needs" refers to a device or system that has the functionality to analyze received text data using natural language processing technology and identify the user's specific requests and needs.

[0358] "Means for searching a database for appropriate services based on identified needs" refers to a device or system having the functionality for searching a database for service information corresponding to identified user needs.

[0359] The "means for providing individual advice to the user based on the search results" refers to a device or system having a function for providing the user with optimal advice based on the searched service information.

[0360] "Means for providing specific application procedures corresponding to the user" refers to a device or system that has the function of providing the necessary application procedure information based on the user's needs.

[0361] "Means for recognizing user emotions" refers to a device or system that has the function of analyzing and recognizing emotions from the user's input text, voice, etc.

[0362] The "means for providing additional advice based on the recognized emotion" is a device or system having a function for providing appropriate additional advice based on the recognized emotion of the user.

[0363] "Means for monitoring the emotional state of workers in the work environment and providing advice on breaks and work in accordance with the emotional state" refers to a device or system that has the function of monitoring the emotions of workers at the work site in real time and providing advice on necessary breaks and work based on the emotional state.

[0364] The system of this invention provides users with information to help them receive appropriate welfare services and work support in factories, and gives advice based on their emotional state. The system is composed of the following main hardware and software:

[0365] Hardware

[0366] User device: An input device such as a smartphone, tablet, or computer.

[0367] Server: A server device for storing, analyzing, and processing data.

[0368] Factory robots: Robotic devices that recognize emotions and assist with tasks.

[0369] software

[0370] Natural Language Processing Engine (NLP): Uses libraries such as TextBlob and transformers.

[0371] Sentiment analysis engine: Uses HuggingFace's pipeline('sentiment-analysis').

[0372] Database: A relational database that stores service information corresponding to user needs.

[0373] Data processing / calculation

[0374] 1. Receiving and analyzing text: The text entered by the user on a smartphone or tablet is sent to the server via the network. The server receives this text and performs natural language processing using TextBlob or similar. This is where the user's needs are extracted.

[0375] 2. Service search: Based on the extracted needs information, the server searches for appropriate service information from a relational database.

[0376] 3. Advice generation: Based on the retrieved service information, personalized advice is generated for the user.

[0377] 4. Emotion Recognition: At the same time, the user's input text is analyzed by the emotion analysis engine to identify the user's emotional state.

[0378] 5. Emotion-based additional advice: Generate additional advice, such as encouraging or reassuring messages, based on the identified emotional state.

[0379] 6. Workplace applications: Factory robots monitor workers' emotions in real time and provide breaks or work advice as needed.

[0380] Specific examples

[0381] If a user types something like "I've been feeling very tired lately and my hands feel sluggish" on their smartphone, the text is sent to the server. The server uses TextBlob to analyze the text and determine that the user is tired. At the same time, it uses an emotion analysis engine to recognize that the user is in a "negative" emotional state. Based on this, the system generates advice such as "You seem tired. Take a break and refresh yourself" and provides it to the user.

[0382] Prompt Sentence Examples

[0383] "My current task is 'Recent Tasks' and my mood is 'Tired'. How do I address this?"

[0384] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0385] Step 1:

[0386] A user inputs text using a smartphone or tablet. The input text is sent to a server via the Internet. In this scenario, the user's text information is obtained as input data.

[0387] Step 2:

[0388] The server passes the received text to a natural language processing engine, which uses a library such as TextBlob to analyze the text and extract the user's needs. During this process, the text data is parsed to identify key noun phrases and requests.

[0389] Step 3:

[0390] The server searches for appropriate service information from a relational database based on the extracted needs information, and the search results are returned to the server, which then executes a database query to collect the service information.

[0391] Step 4:

[0392] The server generates personalized advice for the user based on the retrieved service information, which is appropriately customized to the user's specific situation, and is used in the next processing step.

[0393] Step 5:

[0394] At the same time, the server passes the user's input text to a sentiment analysis engine, which uses HuggingFace's pipeline ('sentiment-analysis') model to analyze the emotional state. As a result of the analysis, an emotional state (e.g., positive, negative, neutral) is identified.

[0395] Step 6:

[0396] The server generates additional advice based on the recognized emotions: if the user is in a negative emotional state, a message offering encouragement or reassurance is generated, whereas if the user is in a positive emotional state, a message offering support is generated.

[0397] Step 7:

[0398] The server sends the generated advice and additional advice based on the emotion to the user terminal, and the user can receive the advice and check the displayed message.

[0399] Step 8:

[0400] The user decides what to do based on this advice and information. For example, they can take the necessary steps to use the appropriate service, or take a break to continue working. If the user has additional questions, the process will be repeated from step 1.

[0401] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0402] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0403] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0404] [Second embodiment]

[0405] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0406] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0407] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0408] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0409] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0410] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0411] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0412] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0413] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0414] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0415] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0416] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0417] The system of the present invention helps users find appropriate welfare services and efficiently complete the application process. The system uses natural language processing based on user input to search for appropriate services and provide personalized advice.

[0418] The overall flow of the system begins with the user entering text from their device. The user then enters their situation and needs into the chatbot on the LINE app. This text is then sent from the device to the server.

[0419] The server then passes the received text to a natural language processing (NLP) engine for analysis. The NLP engine extracts the user's needs from the text and uses that information to search a database for appropriate welfare services. The search results are then returned to the server, which identifies the services and procedures that best fit the user's situation.

[0420] The device displays search results and advice sent from the server to the user. For example, if a user enters "I'm unemployed and can't pay my rent," the server will identify related welfare services, such as unemployment insurance and public assistance, and provide detailed information. The user will then be given detailed advice on how to use these services, the documents required for application procedures, and where to apply.

[0421] As a specific example, consider the case where a user enters the message "I'm unemployed and can't pay my rent." The server analyzes this message and identifies that the user is in financial difficulty. The server then searches a database for information on unemployment insurance and welfare assistance, and recommends welfare assistance as the most appropriate service. The terminal displays a message to the user saying, "The following procedures are required to apply for welfare assistance. First, please prepare your ID, income certificate, resident registration card, and household account book." It also provides specific information such as, "The nearest social welfare office is here. The address is XXXX."

[0422] If the user has any additional questions, the questions are sent to the server via the device. The server analyzes the questions, generates an appropriate answer from the database, and returns it to the device. For example, if the user asks, "Where can I get a resident registration card?", the server will provide specific information such as, "You can get a resident registration card at your city hall or ward office."

[0423] In this way, the system of the present invention can quickly and accurately provide users with information on the welfare services they need and the application procedures, allowing them to easily find appropriate services and smoothly proceed with the procedures to improve their living environment.

[0424] The processing flow will be explained below.

[0425] Step 1:

[0426] The user launches the LINE app and accesses the "LINE Welfare Navi" chatbot.

[0427] The device will display a prompt asking, "What kind of assistance are you looking for?"

[0428] Step 2:

[0429] Users enter their situation and needs in text form (e.g., "I'm unemployed and can't pay my rent").

[0430] The terminal receives the entered text and sends it to the server as is.

[0431] Step 3:

[0432] The server passes the received text to a natural language processing (NLP) engine to begin analysis.

[0433] An NLP engine analyzes the text and extracts the user's needs (e.g., "financial hardship").

[0434] Step 4:

[0435] The server searches the database for appropriate welfare services based on the analysis results returned by the NLP engine.

[0436] The search results will include multiple welfare services (e.g., "unemployment insurance" and "welfare assistance").

[0437] Step 5:

[0438] The server evaluates the search results and selects the welfare services that best suit the user's needs.

[0439] Obtain detailed information about the selected welfare service (required documents, application procedures, etc.).

[0440] Step 6:

[0441] The terminal presents the selection results and detailed information sent from the server to the user.

[0442] For example: "You may want to apply for welfare. If you would like to know the details of the procedure, please answer 'Yes'."

[0443] Step 7:

[0444] The user indicates a desire for more information (e.g., "Yes, I'd like to know more").

[0445] The terminal sends this message to the server.

[0446] Step 8:

[0447] The server receives the user's request and generates specific procedural information regarding the application for welfare benefits.

[0448] Examples: Required documents (ID, income certificate, resident registration, household account book), application address, application method, etc.

[0449] Step 9:

[0450] The terminal displays the specific procedure information generated to the user.

[0451] Example: "I will explain the procedure for applying for welfare benefits. First, the documents you will need are your ID, proof of income, resident registration, and household account book. Please prepare these."

[0452] Step 10:

[0453] The user asks a follow-up question (e.g., "Where can I get my residency card?").

[0454] The terminal sends this question to the server.

[0455] Step 11:

[0456] The server analyzes the user's question and generates the most appropriate answer (e.g., "You can obtain a resident registration card at your city hall or ward office.").

[0457] The device displays this answer to the user.

[0458] Step 12:

[0459] The user takes action based on the displayed information (e.g., goes to city hall and obtains a resident registration card).

[0460] In this way, users can consistently receive all the information they need to properly access the welfare services they need.

[0461] Example 1

[0462] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0463] In modern society, users face difficulties in finding appropriate support services and the complicated application process. This problem is particularly serious for elderly people and users with little knowledge of welfare services, who need support to improve their living environment. Furthermore, when users have additional questions, they often find it difficult to receive prompt and accurate answers.

[0464] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0465] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate support services based on the identified needs, means for providing the user with personalized advice based on the search results, means for providing the user with corresponding specific procedures, means for analyzing follow-up questions from the user and generating and presenting appropriate answers from the database, and means for identifying support services using the natural language processing engine and the search query. This allows the user to quickly and easily find appropriate support services and smoothly proceed with specific application procedures. In addition, the user can also receive quick and accurate answers when asking follow-up questions.

[0466] "User" refers to any individual or legal entity that uses the System.

[0467] "Input" refers to the act of a user providing textual information to a system.

[0468] "Server" refers to a central processing unit that processes received text information and generates and provides appropriate information.

[0469] "Natural language processing" refers to technology for analyzing text data and understanding linguistic meaning and intent.

[0470] "Needs" refer to the specific requests or problems that users want to solve through the system.

[0471] A "database" refers to an information management system that systematically stores a large amount of information and allows it to be searched and retrieved as needed.

[0472] "Support services" refers to various public or private services provided based on user needs.

[0473] "Search Results" refers to a collection of information extracted from a database that meets a user's needs.

[0474] "Advice" refers to specific solutions or suggestions provided to users.

[0475] "Procedure" refers to the formal method or procedure required for a user to receive a particular service or support.

[0476] A "question" is a query made by a user to the system requesting additional information or clarification.

[0477] "Answer" refers to the specific information or explanation the system provides in response to a user's question.

[0478] "Natural language processing engine" refers to a software component for analyzing text data and extracting meaning.

[0479] "Search query" refers to the commands or conditions used to retrieve specific information from a database.

[0480] "Identification" refers to the act of the system identifying and presenting appropriate information and services based on the user's needs and questions.

[0481] MODE FOR CARRYING OUT THE INVENTION

[0482] The system of the present invention is designed to enable users to find appropriate support services and efficiently proceed with application procedures. How the system can be implemented will be described below in detail.

[0483] Overview of Program Generation and Processing

[0484] The system consists of three main components for data processing: a server, a terminal, and a user. The server uses a natural language processing engine and a database to analyze the user's input data and search for and provide appropriate support services.

[0485] Hardware and software used

[0486] 1. Server: Use a high-performance cloud server or physical server. Examples include AWS (Amazon Web Services) and Google Cloud Platform.

[0487] 2. Natural language processing engines: Use generative AI models such as Google's BERT or OpenAI's GPT-3.

[0488] 3. Database: Use a relational database management system such as PostgreSQL or MySQL.

[0489] 4. Devices: This includes smartphones and computers used by users, as well as messaging platforms such as the LINE app.

[0490] Details of data processing and calculation

[0491] Users use the LINE app on their smartphones to input their situation and needs, such as "I'm unemployed and can't pay my rent." This input data is sent from the device to the server.

[0492] The server analyzes the text data using a natural language processing engine (e.g., GPT-3) to extract the user's needs. For example, keywords such as "unemployment," "rent," and "poverty" are obtained as analysis results.

[0493] The server then issues a search query based on these keywords to a database, which returns information about support services that match the keywords, such as "welfare" or "unemployment insurance."

[0494] The server generates the search results as JSON format data and sends it to the device. The JSON data includes details of the service, the documents required for the application procedure, and the application location.

[0495] The device parses this JSON data and displays it visually to the user in an easy-to-understand format, allowing the user to understand the support services they need and the specific procedures they need to follow.

[0496] If the user asks a follow-up question, it is sent to the server via the device, where it is parsed, retrieved from the database, and returned to the device, also in JSON format, for display to the user.

[0497] Examples and prompts

[0498] As a concrete example, if a user types "I'm unemployed and can't pay my rent" into a chatbot on the LINE app, the following prompt text will be sent to the server.

[0499] Example prompt sentence:

[0500] User input: "I'm unemployed and can't pay my rent."

[0501] The server analyzes this using a natural language processing engine and responds as follows:

[0502] Analysis result: "To apply for unemployment insurance, please follow the procedure below. Required documents include ID, proof of income, residence card, and household account book."

[0503] In this way, the system of the present invention can quickly and accurately provide users with information on the support services they need and the application procedures, allowing them to easily find appropriate services and smoothly proceed with the procedures to improve their living environment.

[0504] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0505] Step 1: User Input

[0506] Description: Users input their situation and needs into the chatbot on the LINE app.

[0507] Specific operation: The user opens the LINE app on their smartphone, types "I'm unemployed and can't pay my rent," and sends it.

[0508] Input: "I'm unemployed and can't pay my rent."

[0509] Output: Text data entered by the user

[0510] Step 2: Send a text

[0511] Description: The terminal receives text entered by the user and sends it to the server.

[0512] Specific operation: When the send button is pressed on the device, text data is sent to the server via the HTTPS protocol.

[0513] Input: Text data entered by the user

[0514] Output: Text data sent to the server

[0515] Step 3: Text analysis

[0516] Description: The server passes the received text to a natural language processing engine for analysis. The NLP engine extracts the user's specific needs and circumstances from the received text.

[0517] How it works: The server receives the text and passes it to an NLP engine (e.g., GPT-3), which extracts keywords such as "unemployment," "rent," and "financial hardship."

[0518] Input: Text data sent to the server

[0519] Output: Keywords extracted by the NLP engine

[0520] Step 4: Service Discovery

[0521] Description: The server searches the database for appropriate welfare services based on the extracted needs.

[0522] How it works: The server generates an SQL query based on the keywords obtained from the NLP engine and queries the database. The database returns related services such as "unemployment insurance" and "welfare assistance."

[0523] Input: Keywords extracted by the NLP engine

[0524] Output: Related service information returned from the database

[0525] Step 5: Search results presentation

[0526] Description: The device receives search results and advice sent from the server and displays them to the user.

[0527] Specific operation: The server sends the search results (e.g., JSON format data) to the terminal via HTTPS. The terminal parses the data and displays it in a user-friendly format.

[0528] Input: Related service information returned from the database

[0529] Output: Search results and advice displayed to the user

[0530] Step 6: Additional Question Processing

[0531] Description: When the user asks a follow-up question, the question is sent to the server via the device. The server analyzes the question, generates an appropriate answer from the database, and returns it to the device.

[0532] Specific operation: The user asks, "Where can I get a resident registration card?" The device sends the question to the server. The server analyzes the question, retrieves information about city halls and ward offices from a database, and generates an answer. The device receives the answer and displays it to the user.

[0533] Input: Additional question from the user

[0534] Output: The answer retrieved from the database and displayed

[0535] In this way, the entire system works together to provide users with fast and effective support. At each step, the necessary data processing and calculations are performed based on the input data, and the results are used as input for the next step.

[0536] (Application example 1)

[0537] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0538] In the past, it was difficult to ensure security during the welfare service search and application process, as users' personal information could be subject to unauthorized access and fraud. Another problem was the insufficient support system for users to find appropriate welfare services quickly and efficiently. This led to delays in the use of many welfare services, resulting in situations where users were unable to receive the support they needed.

[0539] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0540] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate welfare services based on the identified needs, means for providing the user with personalized advice based on the search results, means for providing the user with specific application procedures corresponding to the user, means for encrypting the data entered by the user and managing it in a secure server, and means for returning the encrypted data to the user terminal. This makes it possible to search for appropriate welfare services and complete application procedures quickly and efficiently while ensuring the safety of the user's personal information.

[0541] "User" refers to any individual or entity that uses the System.

[0542] "Entered Text" means a document containing information or requests that a User submits to the System.

[0543] "Means for receiving" refers to the function for incorporating text entered by a user into the system.

[0544] "Natural language processing" refers to the technology that allows computers to understand and analyze human language.

[0545] "Means for analyzing and identifying user needs" refers to the functionality of using natural language processing technology to analyze user input and extract specific requests and requirements from it.

[0546] A "database" refers to a system for efficiently storing, searching, and managing large amounts of data.

[0547] "Searching means" refers to the function for locating appropriate information from a database based on analysis.

[0548] "Means for providing personalized advice" refers to a function that provides users with the most appropriate advice or suggestions based on search results.

[0549] "Means for providing application procedures" refers to the function for informing users of the specific procedures and information on required documents.

[0550] "Encryption" refers to the technology of converting data into a form that cannot be deciphered by third parties.

[0551] A "secure server" refers to a computer system that has the functionality to securely store data and protect it from unauthorized access.

[0552] "User terminal" refers to a device used by a user, such as a computer or smartphone.

[0553] "Means for returning" refers to the function for sending data from the server to the user terminal.

[0554] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings.

[0555] 1. System Configuration

[0556] This invention is realized by a system including a user terminal, a server, and a secure database. The user terminal is a smartphone, tablet, or PC, and receives text data entered by the user. The server receives this text data, analyzes it using natural language processing, and recommends appropriate welfare services based on the results. Furthermore, the server has a security function that encrypts the input data and returns it to the user terminal.

[0557] 2. Hardware and Software Use

[0558] User devices: smartphones (iOS, Android, etc.), tablets, PCs

[0559] Server: Python and web frameworks such as Django, cryptography libraries (e.g., cryptography)

[0560] Natural Language Processing Engines: NLP tools (e.g., NLTK, spaCy)

[0561] 3. Data processing and calculation

[0562] The server receives text data entered by the user on the device. The received data is analyzed by a natural language processing engine to identify the user's needs. It then searches a database for appropriate welfare services and generates personalized advice based on the user's situation. These results are then encrypted and sent back to the user's device.

[0563] 4. Specific Examples

[0564] For example, if a user enters "I'm unemployed and can't pay my rent," the server analyzes this message and identifies that the user is in financial difficulty. The server then searches its database for information on welfare and unemployment insurance and recommends welfare as the most suitable service. The device displays a message to the user saying, "To apply for welfare, you must follow the steps below. First, please prepare your identity card and proof of income." Furthermore, the details are sent back to the user's device in encrypted form, protecting the user's personal information.

[0565] 5. Examples of prompts

[0566] Below is an example of a prompt sentence.

[0567] Design an application that encrypts and securely processes user input such as "I'm unemployed and can't pay my rent" and implement the server-side encryption process in Python / Django.

[0568] This allows users to search for appropriate welfare services and complete application procedures quickly and efficiently in a secure environment.

[0569] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0570] Step 1:

[0571] Users input text data using devices such as smartphones or PCs. The input data includes information about welfare services the user needs and questions.

[0572] Input: Text data entered by the user (e.g., "I'm unemployed and can't pay my rent")

[0573] Output: The entered text data is sent from the terminal to the server.

[0574] Step 2:

[0575] The terminal sends the text data entered by the user to the server, which then incorporates the user's request into the system.

[0576] Input: User's text data

[0577] Output: Text data sent to the server

[0578] Step 3:

[0579] The server passes the received text data to a natural language processing engine for analysis, which extracts the user's needs from the text.

[0580] Input: Received text data

[0581] Data processing: Text analysis using natural language processing (e.g., identifying that a user is in financial difficulty)

[0582] Output: Analysis results (user needs)

[0583] Step 4:

[0584] The server searches the database for appropriate welfare services based on the extracted needs, and the search results are those that meet the user's situation and requirements.

[0585] Input: Analysis results (user needs)

[0586] Data search: Search for relevant welfare services from the database (e.g., unemployment insurance, welfare assistance)

[0587] Output: Search results (information on appropriate welfare services)

[0588] Step 5:

[0589] The server then creates personalized advice for the user based on the search results, including which services are suitable, how to apply, and what documents are required.

[0590] Input: Search results (information on appropriate welfare services)

[0591] Data processing: advice generation

[0592] Output: Specific advice (e.g., "You need ID to apply for welfare").

[0593] Step 6:

[0594] The server encrypts the data entered by the user and the advice provided and stores it on a secure server, ensuring the safety of the data.

[0595] Input: User-entered and advice data

[0596] Data processing: Data encryption

[0597] Output: Encrypted data

[0598] Step 7:

[0599] The server then sends the encrypted data back to the user's device, allowing the user to receive the information in a secure manner.

[0600] Input: Encrypted data

[0601] Output: Encrypted data sent back to the user device

[0602] Step 8:

[0603] The device receives the encrypted data returned from the server and presents it to the user, allowing the user to securely obtain the information and advice they need.

[0604] Input: Encrypted data sent back from the server

[0605] Output: Advice and information presented to the user

[0606] Through these steps, users can quickly and efficiently search for and apply for appropriate welfare services in a secure environment.

[0607] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0608] The system of the present invention not only helps users find appropriate welfare services and efficiently process applications, but also recognizes the user's emotions and provides support accordingly. The system uses natural language processing and an emotion engine based on user input to search for appropriate services and provide personalized advice.

[0609] The overall flow of the system begins with the user entering text from their device. The user then enters their situation and needs into the chatbot on the LINE app. This text is then sent from the device to the server.

[0610] The server then passes the received text to a natural language processing (NLP) engine for analysis. The NLP engine extracts the user's needs from the text and uses that information to search a database for appropriate welfare services. The search results are then returned to the server, which identifies the services and procedures that best fit the user's situation.

[0611] This is where the emotion engine, a distinctive feature of the present invention, is added. At the same time, the server also passes the user's input text to the emotion engine to recognize the user's emotional state. The emotion engine determines the emotion from the user's linguistic expression and returns the result to the server.

[0612] The device combines the search results sent from the server with the analysis results of the emotion engine to present appropriate advice to the user. For example, if a user enters "I'm unemployed and can't pay my rent," the server will identify relevant welfare services, such as unemployment insurance and welfare assistance, and provide detailed information. Furthermore, if the emotion engine recognizes strong anxiety or impatience in the user's input, it will also present a special message tailored to that emotional state (e.g., "Don't worry, we'll help you").

[0613] As a specific example, consider the case where a user types, "I'm unemployed and can't pay my rent. What should I do?" The server analyzes this message and identifies that the user is in financial difficulty. The server then searches a database for information on unemployment insurance and welfare assistance, and recommends welfare assistance as the most appropriate service. At the same time, the emotion engine recognizes emotions of anxiety and fear from the user's input. The device displays the message, "You might want to apply for welfare assistance. First, please prepare your ID, income certificate, resident registration card, and household account book. Don't worry, we're always here to help if you have any questions."

[0614] Furthermore, if the user has additional questions, the questions are sent to the server via the device. The server analyzes the content of the question, generates an appropriate answer from its database, and returns it to the device. For example, if the user asks, "Where can I get a resident registration card?", the server will provide specific information such as, "You can get a resident registration card at your city hall or ward office." On the other hand, if the emotion engine recognizes impatience or confusion in the user's question, it will display an additional encouraging message on the device, such as, "There's no need to rush. We'll help you with any information you need."

[0615] In this way, the system of the present invention not only provides users with the information and application procedures for the welfare services they need quickly and accurately, but also provides support tailored to the user's emotional state, allowing users to easily find appropriate services and smoothly proceed with the procedures to improve their living environment, while also creating an environment where they can consult with peace of mind.

[0616] The processing flow will be explained below.

[0617] Step 1:

[0618] The user launches the LINE app and accesses the "LINE Welfare Navi" chatbot.

[0619] The device will display a prompt asking, "What kind of assistance are you looking for?"

[0620] Step 2:

[0621] Users enter their situation and needs in text form (e.g., "I'm unemployed and can't pay my rent").

[0622] The terminal receives the entered text and sends it to the server as is.

[0623] Step 3:

[0624] The server passes the received text to a natural language processing (NLP) engine to begin analysis.

[0625] An NLP engine analyzes the text and extracts the user's needs (e.g., "financial hardship").

[0626] Step 4:

[0627] The server passes the extracted needs information to the emotion engine.

[0628] The emotion engine recognizes the user's emotional state from the text they input (e.g., "anxiety" or "impatience").

[0629] Step 5:

[0630] The server searches a database for appropriate welfare services based on the identified needs and emotional state.

[0631] The search results will include multiple welfare services (e.g., "unemployment insurance" and "welfare assistance").

[0632] Step 6:

[0633] The server evaluates the search results and selects the welfare services that best suit the user's needs and feelings.

[0634] Obtain detailed information about the selected welfare service (required documents, application procedures, etc.).

[0635] Step 7:

[0636] The terminal presents the search results, sentiment analysis results, and detailed information sent from the server to the user.

[0637] For example: "You might want to apply for welfare. First, prepare your ID, proof of income, residence card, and household account book. Don't worry, we'll help you."

[0638] Step 8:

[0639] The user indicates a desire for more information (e.g., "Yes, I'd like to know more").

[0640] The terminal sends this message to the server.

[0641] Step 9:

[0642] The server receives the user's request and generates specific procedural information regarding the application for welfare benefits.

[0643] Examples: Required documents (ID, income certificate, resident registration, household account book), application address, application method, etc.

[0644] Step 10:

[0645] The terminal displays the specific procedure information generated to the user.

[0646] Example: "I will explain the procedure for applying for welfare benefits. First, the documents you will need are your ID, proof of income, resident registration, and household account book. Please prepare these."

[0647] Step 11:

[0648] The user asks a follow-up question (e.g., "Where can I get my residency card?").

[0649] The terminal sends this question to the server.

[0650] Step 12:

[0651] The server analyzes the user's question and generates the most appropriate answer (e.g., "You can obtain a resident registration card at your city hall or ward office.").

[0652] The device displays this answer to the user.

[0653] Step 13:

[0654] If the server determines based on the results of the emotion engine that the user is feeling anxious or impatient, it generates an additional encouraging message such as, "There's no need to rush. Don't worry, we're always here to help you."

[0655] Step 14:

[0656] The terminal displays this additional message to the user.

[0657] In this way, users can receive all the information and emotional support they need to make the most of the welfare services they need.

[0658] Example 2

[0659] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0660] In modern society, a variety of welfare services are available, but it is difficult for users to find appropriate services and smoothly go through the application process. Furthermore, when using welfare services, users often need emotional support. For users facing financial hardship or emergencies, emotional support is especially important, rather than simply providing information. Conventional systems lack support that takes into account the user's emotional state, and are unable to improve users' sense of security or satisfaction.

[0661] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0662] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate welfare services based on the identified needs, means for recognizing emotions from the user's input text, means for providing the user with personalized advice based on the search results and the emotion recognition results, and means for providing the user with specific application procedures. This enables users to not only receive information, but also to quickly and accurately find the welfare services they need and proceed with the application procedures with peace of mind while receiving support that is sensitive to their emotions.

[0663] "User" refers to a person who uses this system to search for information on welfare services and complete application procedures.

[0664] "Means for receiving text" refers to a device or software that receives text data entered by a user and obtains it in a processable form.

[0665] "Natural language processing" refers to the technology that enables computers to understand, analyze, and generate human language.

[0666] "Means for identifying needs" refers to methods and technologies for extracting the user's requests and required assistance from the text entered by the user.

[0667] "Database retrieval means" refers to methods and techniques for locating relevant information and services from data stores based on identified needs.

[0668] "Means for recognizing emotions" refers to technologies and methods for analyzing and determining the emotional state of a user from the text they enter.

[0669] "Means for providing personalized advice" refers to methods and technologies that provide users with optimal advice and instructions based on search results and emotion recognition results.

[0670] "Means for providing application procedures" refers to methods or technologies that guide users through the specific steps and document information required to apply for specific welfare services.

[0671] "Means for obtaining additional information" refers to the methods and techniques used to collect necessary data or information in response to a user's follow-up questions or requests.

[0672] "Means for providing optimal answers" refers to methods and technologies for analyzing a user's question and generating and providing the most appropriate answer to that question.

[0673] The present invention is a system that allows users to find appropriate welfare services and efficiently process applications, and in particular, recognizes the user's emotions and provides support accordingly. Specific embodiments of this system are described in detail below.

[0674] The basic structure of the system begins with the user entering text using a device. The user uses the chatbot on the LINE app to enter their situation and needs in text format. This entered text is then sent from the device to the server.

[0675] Details of the hardware and software used:

[0676] 1. Device:

[0677] Mobile devices such as smartphones and tablets used by users.

[0678] The LINE application is installed.

[0679] Internet connection is available.

[0680] 2. Server:

[0681] Use high-performance cloud servers or dedicated servers.

[0682] Equipped with a natural language processing engine (e.g., SpaCy, NLTK).

[0683] Equipped with a sentiment analysis engine (e.g., Google Cloud Natural Language API, IBM Watson Tone Analyzer).

[0684] Uses databases (e.g., MySQL, PostgreSQL) to manage welfare service information.

[0685] The specific process of the system:

[0686] 1. User enters text:

[0687] Users input their concerns into the chatbot on the LINE app, such as, "I've lost my job and can't pay my rent. What should I do?"

[0688] 2. The device sends a text:

[0689] The terminal encrypts the text data entered by the user and transmits it to the server using a security protocol.

[0690] 3. The server parses the text:

[0691] The server sends the received text to a natural language processing engine (e.g., SpaCy) to analyze the user's needs. The analyzed needs (e.g., unemployment, difficulty paying rent) are extracted and appropriate welfare services are searched for in a database.

[0692] 4. Emotion analysis:

[0693] At the same time, the server passes the text data to an emotion analysis engine (e.g., Google Cloud Natural Language API) to analyze the user's emotional state and obtains the analysis result (e.g., anxiety, impatience).

[0694] 5. Integration of results and message generation:

[0695] The server integrates the analysis results with the sentiment analysis results and generates a message that provides optimal advice to the user.

[0696] For example, you might receive a message saying, "You may want to apply for welfare. First, please prepare your identification, income certificate, resident registration card, and household account book. If you have any questions, don't worry, we're always here to help."

[0697] 6. Send the results to your device:

[0698] The generated message is sent from the server to the terminal and displayed to the user.

[0699] Examples:

[0700] If the user types "I'm unemployed and can't pay my rent, what should I do?", the server processes it as follows:

[0701] 1. A natural language processing engine analyzes "unemployment" and "difficulty paying rent" and searches a database for relevant welfare services (e.g., unemployment insurance, welfare assistance).

[0702] 2. The emotion analysis engine analyzes "anxiety" and "impatience."

[0703] 3. A message will be generated and displayed on the device stating, "You may want to apply for welfare benefits. First, please prepare your identification, proof of income, resident registration, and household account book. If you have any questions, please rest assured that we are always here to help you."

[0704] Example prompt sentence:

[0705] "If I lose my job and can't pay my rent, what welfare services are available to me?"

[0706] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0707] Step 1:

[0708] The user enters the problem or inquiry content in text format.

[0709] Specifically, the user enters a question into the chatbot on the LINE app, such as "I've lost my job and can't pay my rent, what should I do?", and taps the send button. The text "I've lost my job and can't pay my rent, what should I do?" is obtained as input.

[0710] Step 2:

[0711] The terminal sends the entered text to the server.

[0712] Specifically, the terminal encrypts the input text data using Secure Sockets Layer (SSL) technology and sends it to the server via the Internet. The input is the user's text data, and the encrypted data is sent as the output.

[0713] Step 3:

[0714] The server passes the received text to the natural language processing engine to begin analysis.

[0715] Specifically, the server invokes a natural language processing engine (e.g., SpaCy) that uses a generative AI model to analyze the text and extract key keywords and needs (e.g., "unemployed," "difficulty paying rent"). The input is the received text, and the output is the analyzed keywords.

[0716] Step 4:

[0717] The server uses a sentiment analysis engine to recognize the emotional state of the text.

[0718] Specifically, the server passes the text to an emotion analysis engine (e.g., Google Cloud Natural Language API) to determine the emotional state (e.g., "anxiety" or "impatience"). The input is the text to be analyzed, and the output is the emotion analysis result.

[0719] Step 5:

[0720] The server searches the database for appropriate welfare services based on the results of natural language processing.

[0721] Specifically, the server issues an SQL query to a database such as MySQL to retrieve information about related welfare services (e.g., unemployment insurance, welfare assistance). The input is the parsed keyword, and the output is welfare service information.

[0722] Step 6:

[0723] The server integrates the search results with the sentiment analysis results and generates a message to be provided to the user.

[0724] Specifically, the server combines the results of natural language processing and sentiment analysis to generate a message that reads, "You might want to apply for welfare. First, please prepare your ID, income certificate, resident registration, and household account book. If you have any questions, don't worry, we're always here to help you." The inputs are the database search results and the sentiment analysis results, and the output is a message for the user.

[0725] Step 7:

[0726] The server generates a message and sends it to the terminal.

[0727] Specifically, the server encrypts the generated message using SSL technology and sends it to the terminal. The generated message is the input, and the encrypted data is sent to the terminal as the output.

[0728] Step 8:

[0729] The terminal displays the received message to the user.

[0730] Specifically, the device receives the encrypted data sent from the server, decrypts it, and displays a message to the user saying, "You might want to apply for welfare. First, please prepare your ID, income certificate, resident registration card, and household account book. If you have any questions, please don't worry, we're always here to help you." The input is the received encrypted data, and the output is the message to be displayed.

[0731] (Application example 2)

[0732] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0733] Conventional welfare service support systems only search for and provide services that meet the user's needs, but lack support that takes into account the user's emotional state. Furthermore, in work environments such as factories, there is a lack of technology that can monitor the emotions and stress levels of workers in real time and respond appropriately. Therefore, there is a need for appropriate support that reduces the mental burden on users and workers while allowing them to continue working efficiently.

[0734] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate services based on the identified needs, means for providing individual advice to the user based on the search results, means for providing specific application procedures corresponding to the user, means for recognizing the user's emotions, means for providing additional advice based on the recognized emotions, and means for monitoring the emotional state of workers in the work environment and providing break and work advice according to the emotional state. This enables efficient support for work performance while reducing the mental burden on users and workers.

[0735] The "means for receiving text entered by a user" refers to a device or system having a function for receiving text data entered by a user through a terminal.

[0736] "Means for analyzing received text using natural language processing and identifying user needs" refers to a device or system that has the functionality to analyze received text data using natural language processing technology and identify the user's specific requests and needs.

[0737] "Means for searching a database for appropriate services based on identified needs" refers to a device or system having the functionality for searching a database for service information corresponding to identified user needs.

[0738] The "means for providing individual advice to the user based on the search results" refers to a device or system having a function for providing the user with optimal advice based on the searched service information.

[0739] "Means for providing specific application procedures corresponding to the user" refers to a device or system that has the function of providing the necessary application procedure information based on the user's needs.

[0740] "Means for recognizing user emotions" refers to a device or system that has the function of analyzing and recognizing emotions from the user's input text, voice, etc.

[0741] The "means for providing additional advice based on the recognized emotion" is a device or system having a function for providing appropriate additional advice based on the recognized emotion of the user.

[0742] "Means for monitoring the emotional state of workers in the work environment and providing advice on breaks and work in accordance with the emotional state" refers to a device or system that has the function of monitoring the emotions of workers at the work site in real time and providing advice on necessary breaks and work based on the emotional state.

[0743] The system of this invention provides users with information to help them receive appropriate welfare services and work support in factories, and gives advice based on their emotional state. The system is composed of the following main hardware and software:

[0744] Hardware

[0745] User device: An input device such as a smartphone, tablet, or computer.

[0746] Server: A server device for storing, analyzing, and processing data.

[0747] Factory robots: Robotic devices that recognize emotions and assist with tasks.

[0748] software

[0749] Natural Language Processing Engine (NLP): Uses libraries such as TextBlob and transformers.

[0750] Sentiment analysis engine: Uses HuggingFace's pipeline('sentiment-analysis').

[0751] Database: A relational database that stores service information corresponding to user needs.

[0752] Data processing / calculation

[0753] 1. Receiving and analyzing text: The text entered by the user on a smartphone or tablet is sent to the server via the network. The server receives this text and performs natural language processing using TextBlob or similar. This is where the user's needs are extracted.

[0754] 2. Service search: Based on the extracted needs information, the server searches for appropriate service information from a relational database.

[0755] 3. Advice generation: Based on the retrieved service information, personalized advice is generated for the user.

[0756] 4. Emotion Recognition: At the same time, the user's input text is analyzed by the emotion analysis engine to identify the user's emotional state.

[0757] 5. Emotion-based additional advice: Generate additional advice, such as encouraging or reassuring messages, based on the identified emotional state.

[0758] 6. Workplace applications: Factory robots monitor workers' emotions in real time and provide breaks or work advice as needed.

[0759] Specific examples

[0760] If a user types something like "I've been feeling very tired lately and my hands feel sluggish" on their smartphone, the text is sent to the server. The server uses TextBlob to analyze the text and determine that the user is tired. At the same time, it uses an emotion analysis engine to recognize that the user is in a "negative" emotional state. Based on this, the system generates advice such as "You seem tired. Take a break and refresh yourself" and provides it to the user.

[0761] Prompt Sentence Examples

[0762] "My current task is 'Recent Tasks' and my mood is 'Tired'. How do I address this?"

[0763] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0764] Step 1:

[0765] A user inputs text using a smartphone or tablet. The input text is sent to a server via the Internet. In this scenario, the user's text information is obtained as input data.

[0766] Step 2:

[0767] The server passes the received text to a natural language processing engine, which uses a library such as TextBlob to analyze the text and extract the user's needs. During this process, the text data is parsed to identify key noun phrases and requests.

[0768] Step 3:

[0769] The server searches for appropriate service information from a relational database based on the extracted needs information, and the search results are returned to the server, which then executes a database query to collect the service information.

[0770] Step 4:

[0771] The server generates personalized advice for the user based on the retrieved service information, which is appropriately customized to the user's specific situation, and is used in the next processing step.

[0772] Step 5:

[0773] At the same time, the server passes the user's input text to a sentiment analysis engine, which uses HuggingFace's pipeline ('sentiment-analysis') model to analyze the emotional state. As a result of the analysis, an emotional state (e.g., positive, negative, neutral) is identified.

[0774] Step 6:

[0775] The server generates additional advice based on the recognized emotions: if the user is in a negative emotional state, a message offering encouragement or reassurance is generated, whereas if the user is in a positive emotional state, a message offering support is generated.

[0776] Step 7:

[0777] The server sends the generated advice and additional advice based on the emotion to the user terminal, and the user can receive the advice and check the displayed message.

[0778] Step 8:

[0779] The user decides what to do based on this advice and information. For example, they can take the necessary steps to use the appropriate service, or take a break to continue working. If the user has additional questions, the process will be repeated from step 1.

[0780] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0781] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0782] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0783] [Third embodiment]

[0784] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0785] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0786] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0787] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0788] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0789] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0790] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0791] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0792] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0793] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0794] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0795] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0796] The system of the present invention helps users find appropriate welfare services and efficiently complete the application process. The system uses natural language processing based on user input to search for appropriate services and provide personalized advice.

[0797] The overall flow of the system begins with the user entering text from their device. The user then enters their situation and needs into the chatbot on the LINE app. This text is then sent from the device to the server.

[0798] The server then passes the received text to a natural language processing (NLP) engine for analysis. The NLP engine extracts the user's needs from the text and uses that information to search a database for appropriate welfare services. The search results are then returned to the server, which identifies the services and procedures that best fit the user's situation.

[0799] The device displays search results and advice sent from the server to the user. For example, if a user enters "I'm unemployed and can't pay my rent," the server will identify related welfare services, such as unemployment insurance and public assistance, and provide detailed information. The user will then be given detailed advice on how to use these services, the documents required for application procedures, and where to apply.

[0800] As a specific example, consider the case where a user enters the message "I'm unemployed and can't pay my rent." The server analyzes this message and identifies that the user is in financial difficulty. The server then searches a database for information on unemployment insurance and welfare assistance, and recommends welfare assistance as the most appropriate service. The terminal displays a message to the user saying, "The following procedures are required to apply for welfare assistance. First, please prepare your ID, income certificate, resident registration card, and household account book." It also provides specific information such as, "The nearest social welfare office is here. The address is XXXX."

[0801] If the user has any additional questions, the questions are sent to the server via the device. The server analyzes the questions, generates an appropriate answer from the database, and returns it to the device. For example, if the user asks, "Where can I get a resident registration card?", the server will provide specific information such as, "You can get a resident registration card at your city hall or ward office."

[0802] In this way, the system of the present invention can quickly and accurately provide users with information on the welfare services they need and the application procedures, allowing them to easily find appropriate services and smoothly proceed with the procedures to improve their living environment.

[0803] The processing flow will be explained below.

[0804] Step 1:

[0805] The user launches the LINE app and accesses the "LINE Welfare Navi" chatbot.

[0806] The device will display a prompt asking, "What kind of assistance are you looking for?"

[0807] Step 2:

[0808] Users enter their situation and needs in text form (e.g., "I'm unemployed and can't pay my rent").

[0809] The terminal receives the entered text and sends it to the server as is.

[0810] Step 3:

[0811] The server passes the received text to a natural language processing (NLP) engine to begin analysis.

[0812] An NLP engine analyzes the text and extracts the user's needs (e.g., "financial hardship").

[0813] Step 4:

[0814] The server searches the database for appropriate welfare services based on the analysis results returned by the NLP engine.

[0815] The search results will include multiple welfare services (e.g., "unemployment insurance" and "welfare assistance").

[0816] Step 5:

[0817] The server evaluates the search results and selects the welfare services that best suit the user's needs.

[0818] Obtain detailed information about the selected welfare service (required documents, application procedures, etc.).

[0819] Step 6:

[0820] The terminal presents the selection results and detailed information sent from the server to the user.

[0821] For example: "You may want to apply for welfare. If you would like to know the details of the procedure, please answer 'Yes'."

[0822] Step 7:

[0823] The user indicates a desire for more information (e.g., "Yes, I'd like to know more").

[0824] The terminal sends this message to the server.

[0825] Step 8:

[0826] The server receives the user's request and generates specific procedural information regarding the application for welfare benefits.

[0827] Examples: Required documents (ID, income certificate, resident registration, household account book), application address, application method, etc.

[0828] Step 9:

[0829] The terminal displays the specific procedure information generated to the user.

[0830] Example: "I will explain the procedure for applying for welfare benefits. First, the documents you will need are your ID, proof of income, resident registration, and household account book. Please prepare these."

[0831] Step 10:

[0832] The user asks a follow-up question (e.g., "Where can I get my residency card?").

[0833] The terminal sends this question to the server.

[0834] Step 11:

[0835] The server analyzes the user's question and generates the most appropriate answer (e.g., "You can obtain a resident registration card at your city hall or ward office.").

[0836] The device displays this answer to the user.

[0837] Step 12:

[0838] The user takes action based on the displayed information (e.g., goes to city hall and obtains a resident registration card).

[0839] In this way, users can consistently receive all the information they need to properly access the welfare services they need.

[0840] Example 1

[0841] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0842] In modern society, users face difficulties in finding appropriate support services and the complicated application process. This problem is particularly serious for elderly people and users with little knowledge of welfare services, who need support to improve their living environment. Furthermore, when users have additional questions, they often find it difficult to receive prompt and accurate answers.

[0843] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0844] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate support services based on the identified needs, means for providing the user with personalized advice based on the search results, means for providing the user with corresponding specific procedures, means for analyzing follow-up questions from the user and generating and presenting appropriate answers from the database, and means for identifying support services using the natural language processing engine and the search query. This allows the user to quickly and easily find appropriate support services and smoothly proceed with specific application procedures. In addition, the user can also receive quick and accurate answers when asking follow-up questions.

[0845] "User" refers to any individual or legal entity that uses the System.

[0846] "Input" refers to the act of a user providing textual information to a system.

[0847] "Server" refers to a central processing unit that processes received text information and generates and provides appropriate information.

[0848] "Natural language processing" refers to technology for analyzing text data and understanding linguistic meaning and intent.

[0849] "Needs" refer to the specific requests or problems that users want to solve through the system.

[0850] A "database" refers to an information management system that systematically stores a large amount of information and allows it to be searched and retrieved as needed.

[0851] "Support services" refers to various public or private services provided based on user needs.

[0852] "Search Results" refers to a collection of information extracted from a database that meets a user's needs.

[0853] "Advice" refers to specific solutions or suggestions provided to users.

[0854] "Procedure" refers to the formal method or procedure required for a user to receive a particular service or support.

[0855] A "question" is a query made by a user to the system requesting additional information or clarification.

[0856] "Answer" refers to the specific information or explanation the system provides in response to a user's question.

[0857] "Natural language processing engine" refers to a software component for analyzing text data and extracting meaning.

[0858] "Search query" refers to the commands or conditions used to retrieve specific information from a database.

[0859] "Identification" refers to the act of the system identifying and presenting appropriate information and services based on the user's needs and questions.

[0860] MODE FOR CARRYING OUT THE INVENTION

[0861] The system of the present invention is designed to enable users to find appropriate support services and efficiently proceed with application procedures. How the system can be implemented will be described below in detail.

[0862] Overview of Program Generation and Processing

[0863] The system consists of three main components for data processing: a server, a terminal, and a user. The server uses a natural language processing engine and a database to analyze the user's input data and search for and provide appropriate support services.

[0864] Hardware and software used

[0865] 1. Server: Use a high-performance cloud server or physical server. Examples include AWS (Amazon Web Services) and Google Cloud Platform.

[0866] 2. Natural language processing engines: Use generative AI models such as Google's BERT or OpenAI's GPT-3.

[0867] 3. Database: Use a relational database management system such as PostgreSQL or MySQL.

[0868] 4. Devices: This includes smartphones and computers used by users, as well as messaging platforms such as the LINE app.

[0869] Details of data processing and calculation

[0870] Users use the LINE app on their smartphones to input their situation and needs, such as "I'm unemployed and can't pay my rent." This input data is sent from the device to the server.

[0871] The server analyzes the text data using a natural language processing engine (e.g., GPT-3) to extract the user's needs. For example, keywords such as "unemployment," "rent," and "poverty" are obtained as analysis results.

[0872] The server then issues a search query based on these keywords to a database, which returns information about support services that match the keywords, such as "welfare" or "unemployment insurance."

[0873] The server generates the search results as JSON format data and sends it to the device. The JSON data includes details of the service, the documents required for the application procedure, and the application location.

[0874] The device parses this JSON data and displays it visually to the user in an easy-to-understand format, allowing the user to understand the support services they need and the specific procedures they need to follow.

[0875] If the user asks a follow-up question, it is sent to the server via the device, where it is parsed, retrieved from the database, and returned to the device, also in JSON format, for display to the user.

[0876] Examples and prompts

[0877] As a concrete example, if a user types "I'm unemployed and can't pay my rent" into a chatbot on the LINE app, the following prompt text will be sent to the server.

[0878] Example prompt sentence:

[0879] User input: "I'm unemployed and can't pay my rent."

[0880] The server analyzes this using a natural language processing engine and responds as follows:

[0881] Analysis result: "To apply for unemployment insurance, please follow the procedure below. Required documents include ID, proof of income, residence card, and household account book."

[0882] In this way, the system of the present invention can quickly and accurately provide users with information on the support services they need and the application procedures, allowing them to easily find appropriate services and smoothly proceed with the procedures to improve their living environment.

[0883] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0884] Step 1: User Input

[0885] Description: Users input their situation and needs into the chatbot on the LINE app.

[0886] Specific operation: The user opens the LINE app on their smartphone, types "I'm unemployed and can't pay my rent," and sends it.

[0887] Input: "I'm unemployed and can't pay my rent."

[0888] Output: Text data entered by the user

[0889] Step 2: Send a text

[0890] Description: The terminal receives text entered by the user and sends it to the server.

[0891] Specific operation: When the send button is pressed on the device, text data is sent to the server via the HTTPS protocol.

[0892] Input: Text data entered by the user

[0893] Output: Text data sent to the server

[0894] Step 3: Text analysis

[0895] Description: The server passes the received text to a natural language processing engine for analysis. The NLP engine extracts the user's specific needs and circumstances from the received text.

[0896] How it works: The server receives the text and passes it to an NLP engine (e.g., GPT-3), which extracts keywords such as "unemployment," "rent," and "financial hardship."

[0897] Input: Text data sent to the server

[0898] Output: Keywords extracted by the NLP engine

[0899] Step 4: Service Discovery

[0900] Description: The server searches the database for appropriate welfare services based on the extracted needs.

[0901] How it works: The server generates an SQL query based on the keywords obtained from the NLP engine and queries the database. The database returns related services such as "unemployment insurance" and "welfare assistance."

[0902] Input: Keywords extracted by the NLP engine

[0903] Output: Related service information returned from the database

[0904] Step 5: Search results presentation

[0905] Description: The device receives search results and advice sent from the server and displays them to the user.

[0906] Specific operation: The server sends the search results (e.g., JSON format data) to the terminal via HTTPS. The terminal parses the data and displays it in a user-friendly format.

[0907] Input: Related service information returned from the database

[0908] Output: Search results and advice displayed to the user

[0909] Step 6: Additional Question Processing

[0910] Description: When the user asks a follow-up question, the question is sent to the server via the device. The server analyzes the question, generates an appropriate answer from the database, and returns it to the device.

[0911] Specific operation: The user asks, "Where can I get a resident registration card?" The device sends the question to the server. The server analyzes the question, retrieves information about city halls and ward offices from a database, and generates an answer. The device receives the answer and displays it to the user.

[0912] Input: Additional question from the user

[0913] Output: The answer retrieved from the database and displayed

[0914] In this way, the entire system works together to provide users with fast and effective support. At each step, the necessary data processing and calculations are performed based on the input data, and the results are used as input for the next step.

[0915] (Application example 1)

[0916] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0917] In the past, it was difficult to ensure security during the welfare service search and application process, as users' personal information could be subject to unauthorized access and fraud. Another problem was the insufficient support system for users to find appropriate welfare services quickly and efficiently. This led to delays in the use of many welfare services, resulting in situations where users were unable to receive the support they needed.

[0918] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0919] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate welfare services based on the identified needs, means for providing the user with personalized advice based on the search results, means for providing the user with specific application procedures corresponding to the user, means for encrypting the data entered by the user and managing it in a secure server, and means for returning the encrypted data to the user terminal. This makes it possible to search for appropriate welfare services and complete application procedures quickly and efficiently while ensuring the safety of the user's personal information.

[0920] "User" refers to any individual or entity that uses the System.

[0921] "Entered Text" means a document containing information or requests that a User submits to the System.

[0922] "Means for receiving" refers to the function for incorporating text entered by a user into the system.

[0923] "Natural language processing" refers to the technology that allows computers to understand and analyze human language.

[0924] "Means for analyzing and identifying user needs" refers to the functionality of using natural language processing technology to analyze user input and extract specific requests and requirements from it.

[0925] A "database" refers to a system for efficiently storing, searching, and managing large amounts of data.

[0926] "Searching means" refers to the function for locating appropriate information from a database based on analysis.

[0927] "Means for providing personalized advice" refers to a function that provides users with the most appropriate advice or suggestions based on search results.

[0928] "Means for providing application procedures" refers to the function for informing users of the specific procedures and information on required documents.

[0929] "Encryption" refers to the technology of converting data into a form that cannot be deciphered by third parties.

[0930] A "secure server" refers to a computer system that has the functionality to securely store data and protect it from unauthorized access.

[0931] "User terminal" refers to a device used by a user, such as a computer or smartphone.

[0932] "Means for returning" refers to the function for sending data from the server to the user terminal.

[0933] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings.

[0934] 1. System Configuration

[0935] This invention is realized by a system including a user terminal, a server, and a secure database. The user terminal is a smartphone, tablet, or PC, and receives text data entered by the user. The server receives this text data, analyzes it using natural language processing, and recommends appropriate welfare services based on the results. Furthermore, the server has a security function that encrypts the input data and returns it to the user terminal.

[0936] 2. Hardware and Software Use

[0937] User devices: smartphones (iOS, Android, etc.), tablets, PCs

[0938] Server: Python and web frameworks such as Django, cryptography libraries (e.g., cryptography)

[0939] Natural Language Processing Engines: NLP tools (e.g., NLTK, spaCy)

[0940] 3. Data processing and calculation

[0941] The server receives text data entered by the user on the device. The received data is analyzed by a natural language processing engine to identify the user's needs. It then searches a database for appropriate welfare services and generates personalized advice based on the user's situation. These results are then encrypted and sent back to the user's device.

[0942] 4. Specific Examples

[0943] For example, if a user enters "I'm unemployed and can't pay my rent," the server analyzes this message and identifies that the user is in financial difficulty. The server then searches its database for information on welfare and unemployment insurance and recommends welfare as the most suitable service. The device displays a message to the user saying, "To apply for welfare, you must follow the steps below. First, please prepare your identity card and proof of income." Furthermore, the details are sent back to the user's device in encrypted form, protecting the user's personal information.

[0944] 5. Examples of prompts

[0945] Below is an example of a prompt sentence.

[0946] Design an application that encrypts and securely processes user input such as "I'm unemployed and can't pay my rent" and implement the server-side encryption process in Python / Django.

[0947] This allows users to search for appropriate welfare services and complete application procedures quickly and efficiently in a secure environment.

[0948] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0949] Step 1:

[0950] Users input text data using devices such as smartphones or PCs. The input data includes information about welfare services the user needs and questions.

[0951] Input: Text data entered by the user (e.g., "I'm unemployed and can't pay my rent")

[0952] Output: The entered text data is sent from the terminal to the server.

[0953] Step 2:

[0954] The terminal sends the text data entered by the user to the server, which then incorporates the user's request into the system.

[0955] Input: User's text data

[0956] Output: Text data sent to the server

[0957] Step 3:

[0958] The server passes the received text data to a natural language processing engine for analysis, which extracts the user's needs from the text.

[0959] Input: Received text data

[0960] Data processing: Text analysis using natural language processing (e.g., identifying that a user is in financial difficulty)

[0961] Output: Analysis results (user needs)

[0962] Step 4:

[0963] The server searches the database for appropriate welfare services based on the extracted needs, and the search results are those that meet the user's situation and requirements.

[0964] Input: Analysis results (user needs)

[0965] Data search: Search for relevant welfare services from the database (e.g., unemployment insurance, welfare assistance)

[0966] Output: Search results (information on appropriate welfare services)

[0967] Step 5:

[0968] The server then creates personalized advice for the user based on the search results, including which services are suitable, how to apply, and what documents are required.

[0969] Input: Search results (information on appropriate welfare services)

[0970] Data processing: advice generation

[0971] Output: Specific advice (e.g., "You need ID to apply for welfare").

[0972] Step 6:

[0973] The server encrypts the data entered by the user and the advice provided and stores it on a secure server, ensuring the safety of the data.

[0974] Input: User-entered and advice data

[0975] Data processing: Data encryption

[0976] Output: Encrypted data

[0977] Step 7:

[0978] The server then sends the encrypted data back to the user's device, allowing the user to receive the information in a secure manner.

[0979] Input: Encrypted data

[0980] Output: Encrypted data sent back to the user device

[0981] Step 8:

[0982] The device receives the encrypted data returned from the server and presents it to the user, allowing the user to securely obtain the information and advice they need.

[0983] Input: Encrypted data sent back from the server

[0984] Output: Advice and information presented to the user

[0985] Through these steps, users can quickly and efficiently search for and apply for appropriate welfare services in a secure environment.

[0986] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0987] The system of the present invention not only helps users find appropriate welfare services and efficiently process applications, but also recognizes the user's emotions and provides support accordingly. The system uses natural language processing and an emotion engine based on user input to search for appropriate services and provide personalized advice.

[0988] The overall flow of the system begins with the user entering text from their device. The user then enters their situation and needs into the chatbot on the LINE app. This text is then sent from the device to the server.

[0989] The server then passes the received text to a natural language processing (NLP) engine for analysis. The NLP engine extracts the user's needs from the text and uses that information to search a database for appropriate welfare services. The search results are then returned to the server, which identifies the services and procedures that best fit the user's situation.

[0990] This is where the emotion engine, a distinctive feature of the present invention, is added. At the same time, the server also passes the user's input text to the emotion engine to recognize the user's emotional state. The emotion engine determines the emotion from the user's linguistic expression and returns the result to the server.

[0991] The device combines the search results sent from the server with the analysis results of the emotion engine to present appropriate advice to the user. For example, if a user enters "I'm unemployed and can't pay my rent," the server will identify relevant welfare services, such as unemployment insurance and welfare assistance, and provide detailed information. Furthermore, if the emotion engine recognizes strong anxiety or impatience in the user's input, it will also present a special message tailored to that emotional state (e.g., "Don't worry, we'll help you").

[0992] As a specific example, consider the case where a user types, "I'm unemployed and can't pay my rent. What should I do?" The server analyzes this message and identifies that the user is in financial difficulty. The server then searches a database for information on unemployment insurance and welfare assistance, and recommends welfare assistance as the most appropriate service. At the same time, the emotion engine recognizes emotions of anxiety and fear from the user's input. The device displays the message, "You might want to apply for welfare assistance. First, please prepare your ID, income certificate, resident registration card, and household account book. Don't worry, we're always here to help if you have any questions."

[0993] Furthermore, if the user has additional questions, the questions are sent to the server via the device. The server analyzes the content of the question, generates an appropriate answer from its database, and returns it to the device. For example, if the user asks, "Where can I get a resident registration card?", the server will provide specific information such as, "You can get a resident registration card at your city hall or ward office." On the other hand, if the emotion engine recognizes impatience or confusion in the user's question, it will display an additional encouraging message on the device, such as, "There's no need to rush. We'll help you with any information you need."

[0994] In this way, the system of the present invention not only provides users with the information and application procedures for the welfare services they need quickly and accurately, but also provides support tailored to the user's emotional state, allowing users to easily find appropriate services and smoothly proceed with the procedures to improve their living environment, while also creating an environment where they can consult with peace of mind.

[0995] The processing flow will be explained below.

[0996] Step 1:

[0997] The user launches the LINE app and accesses the "LINE Welfare Navi" chatbot.

[0998] The device will display a prompt asking, "What kind of assistance are you looking for?"

[0999] Step 2:

[1000] Users enter their situation and needs in text form (e.g., "I'm unemployed and can't pay my rent").

[1001] The terminal receives the entered text and sends it to the server as is.

[1002] Step 3:

[1003] The server passes the received text to a natural language processing (NLP) engine to begin analysis.

[1004] An NLP engine analyzes the text and extracts the user's needs (e.g., "financial hardship").

[1005] Step 4:

[1006] The server passes the extracted needs information to the emotion engine.

[1007] The emotion engine recognizes the user's emotional state from the text they input (e.g., "anxiety" or "impatience").

[1008] Step 5:

[1009] The server searches a database for appropriate welfare services based on the identified needs and emotional state.

[1010] The search results will include multiple welfare services (e.g., "unemployment insurance" and "welfare assistance").

[1011] Step 6:

[1012] The server evaluates the search results and selects the welfare services that best suit the user's needs and feelings.

[1013] Obtain detailed information about the selected welfare service (required documents, application procedures, etc.).

[1014] Step 7:

[1015] The terminal presents the search results, sentiment analysis results, and detailed information sent from the server to the user.

[1016] For example: "You might want to apply for welfare. First, prepare your ID, proof of income, residence card, and household account book. Don't worry, we'll help you."

[1017] Step 8:

[1018] The user indicates a desire for more information (e.g., "Yes, I'd like to know more").

[1019] The terminal sends this message to the server.

[1020] Step 9:

[1021] The server receives the user's request and generates specific procedural information regarding the application for welfare benefits.

[1022] Examples: Required documents (ID, income certificate, resident registration, household account book), application address, application method, etc.

[1023] Step 10:

[1024] The terminal displays the specific procedure information generated to the user.

[1025] Example: "I will explain the procedure for applying for welfare benefits. First, the documents you will need are your ID, proof of income, resident registration, and household account book. Please prepare these."

[1026] Step 11:

[1027] The user asks a follow-up question (e.g., "Where can I get my residency card?").

[1028] The terminal sends this question to the server.

[1029] Step 12:

[1030] The server analyzes the user's question and generates the most appropriate answer (e.g., "You can obtain a resident registration card at your city hall or ward office.").

[1031] The device displays this answer to the user.

[1032] Step 13:

[1033] If the server determines based on the results of the emotion engine that the user is feeling anxious or impatient, it generates an additional encouraging message such as, "There's no need to rush. Don't worry, we're always here to help you."

[1034] Step 14:

[1035] The terminal displays this additional message to the user.

[1036] In this way, users can receive all the information and emotional support they need to make the most of the welfare services they need.

[1037] Example 2

[1038] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1039] In modern society, a variety of welfare services are available, but it is difficult for users to find appropriate services and smoothly go through the application process. Furthermore, when using welfare services, users often need emotional support. For users facing financial hardship or emergencies, emotional support is especially important, rather than simply providing information. Conventional systems lack support that takes into account the user's emotional state, and are unable to improve users' sense of security or satisfaction.

[1040] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1041] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate welfare services based on the identified needs, means for recognizing emotions from the user's input text, means for providing the user with personalized advice based on the search results and the emotion recognition results, and means for providing the user with specific application procedures. This enables users to not only receive information, but also to quickly and accurately find the welfare services they need and proceed with the application procedures with peace of mind while receiving support that is sensitive to their emotions.

[1042] "User" refers to a person who uses this system to search for information on welfare services and complete application procedures.

[1043] "Means for receiving text" refers to a device or software that receives text data entered by a user and obtains it in a processable form.

[1044] "Natural language processing" refers to the technology that enables computers to understand, analyze, and generate human language.

[1045] "Means for identifying needs" refers to methods and technologies for extracting the user's requests and required assistance from the text entered by the user.

[1046] "Database retrieval means" refers to methods and techniques for locating relevant information and services from data stores based on identified needs.

[1047] "Means for recognizing emotions" refers to technologies and methods for analyzing and determining the emotional state of a user from the text they enter.

[1048] "Means for providing personalized advice" refers to methods and technologies that provide users with optimal advice and instructions based on search results and emotion recognition results.

[1049] "Means for providing application procedures" refers to methods or technologies that guide users through the specific steps and document information required to apply for specific welfare services.

[1050] "Means for obtaining additional information" refers to the methods and techniques used to collect necessary data or information in response to a user's follow-up questions or requests.

[1051] "Means for providing optimal answers" refers to methods and technologies for analyzing a user's question and generating and providing the most appropriate answer to that question.

[1052] The present invention is a system that allows users to find appropriate welfare services and efficiently process applications, and in particular, recognizes the user's emotions and provides support accordingly. Specific embodiments of this system are described in detail below.

[1053] The basic structure of the system begins with the user entering text using a device. The user uses the chatbot on the LINE app to enter their situation and needs in text format. This entered text is then sent from the device to the server.

[1054] Details of the hardware and software used:

[1055] 1. Device:

[1056] Mobile devices such as smartphones and tablets used by users.

[1057] The LINE application is installed.

[1058] Internet connection is available.

[1059] 2. Server:

[1060] Use high-performance cloud servers or dedicated servers.

[1061] Equipped with a natural language processing engine (e.g., SpaCy, NLTK).

[1062] Equipped with a sentiment analysis engine (e.g., Google Cloud Natural Language API, IBM Watson Tone Analyzer).

[1063] Uses databases (e.g., MySQL, PostgreSQL) to manage welfare service information.

[1064] The specific process of the system:

[1065] 1. User enters text:

[1066] Users input their concerns into the chatbot on the LINE app, such as, "I've lost my job and can't pay my rent. What should I do?"

[1067] 2. The device sends a text:

[1068] The terminal encrypts the text data entered by the user and transmits it to the server using a security protocol.

[1069] 3. The server parses the text:

[1070] The server sends the received text to a natural language processing engine (e.g., SpaCy) to analyze the user's needs. The analyzed needs (e.g., unemployment, difficulty paying rent) are extracted and appropriate welfare services are searched for in a database.

[1071] 4. Emotion analysis:

[1072] At the same time, the server passes the text data to an emotion analysis engine (e.g., Google Cloud Natural Language API) to analyze the user's emotional state and obtains the analysis result (e.g., anxiety, impatience).

[1073] 5. Integration of results and message generation:

[1074] The server integrates the analysis results with the sentiment analysis results and generates a message that provides optimal advice to the user.

[1075] For example, you might receive a message saying, "You may want to apply for welfare. First, please prepare your identification, income certificate, resident registration card, and household account book. If you have any questions, don't worry, we're always here to help."

[1076] 6. Send the results to your device:

[1077] The generated message is sent from the server to the terminal and displayed to the user.

[1078] Examples:

[1079] If the user types "I'm unemployed and can't pay my rent, what should I do?", the server processes it as follows:

[1080] 1. A natural language processing engine analyzes "unemployment" and "difficulty paying rent" and searches a database for relevant welfare services (e.g., unemployment insurance, welfare assistance).

[1081] 2. The emotion analysis engine analyzes "anxiety" and "impatience."

[1082] 3. A message will be generated and displayed on the device stating, "You may want to apply for welfare benefits. First, please prepare your identification, proof of income, resident registration, and household account book. If you have any questions, please rest assured that we are always here to help you."

[1083] Example prompt sentence:

[1084] "If I lose my job and can't pay my rent, what welfare services are available to me?"

[1085] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1086] Step 1:

[1087] The user enters the problem or inquiry content in text format.

[1088] Specifically, the user enters a question into the chatbot on the LINE app, such as "I've lost my job and can't pay my rent, what should I do?", and taps the send button. The text "I've lost my job and can't pay my rent, what should I do?" is obtained as input.

[1089] Step 2:

[1090] The terminal sends the entered text to the server.

[1091] Specifically, the terminal encrypts the input text data using Secure Sockets Layer (SSL) technology and sends it to the server via the Internet. The input is the user's text data, and the encrypted data is sent as the output.

[1092] Step 3:

[1093] The server passes the received text to the natural language processing engine to begin analysis.

[1094] Specifically, the server invokes a natural language processing engine (e.g., SpaCy) that uses a generative AI model to analyze the text and extract key keywords and needs (e.g., "unemployed," "difficulty paying rent"). The input is the received text, and the output is the analyzed keywords.

[1095] Step 4:

[1096] The server uses a sentiment analysis engine to recognize the emotional state of the text.

[1097] Specifically, the server passes the text to an emotion analysis engine (e.g., Google Cloud Natural Language API) to determine the emotional state (e.g., "anxiety" or "impatience"). The input is the text to be analyzed, and the output is the emotion analysis result.

[1098] Step 5:

[1099] The server searches the database for appropriate welfare services based on the results of natural language processing.

[1100] Specifically, the server issues an SQL query to a database such as MySQL to retrieve information about related welfare services (e.g., unemployment insurance, welfare assistance). The input is the parsed keyword, and the output is welfare service information.

[1101] Step 6:

[1102] The server integrates the search results with the sentiment analysis results and generates a message to be provided to the user.

[1103] Specifically, the server combines the results of natural language processing and sentiment analysis to generate a message that reads, "You might want to apply for welfare. First, please prepare your ID, income certificate, resident registration, and household account book. If you have any questions, don't worry, we're always here to help you." The inputs are the database search results and the sentiment analysis results, and the output is a message for the user.

[1104] Step 7:

[1105] The server generates a message and sends it to the terminal.

[1106] Specifically, the server encrypts the generated message using SSL technology and sends it to the terminal. The generated message is the input, and the encrypted data is sent to the terminal as the output.

[1107] Step 8:

[1108] The terminal displays the received message to the user.

[1109] Specifically, the device receives the encrypted data sent from the server, decrypts it, and displays a message to the user saying, "You might want to apply for welfare. First, please prepare your ID, income certificate, resident registration card, and household account book. If you have any questions, please don't worry, we're always here to help you." The input is the received encrypted data, and the output is the message to be displayed.

[1110] (Application example 2)

[1111] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1112] Conventional welfare service support systems only search for and provide services that meet the user's needs, but lack support that takes into account the user's emotional state. Furthermore, in work environments such as factories, there is a lack of technology that can monitor the emotions and stress levels of workers in real time and respond appropriately. Therefore, there is a need for appropriate support that reduces the mental burden on users and workers while allowing them to continue working efficiently.

[1113] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate services based on the identified needs, means for providing individual advice to the user based on the search results, means for providing specific application procedures corresponding to the user, means for recognizing the user's emotions, means for providing additional advice based on the recognized emotions, and means for monitoring the emotional state of workers in the work environment and providing break and work advice according to the emotional state. This enables efficient support for work performance while reducing the mental burden on users and workers.

[1114] The "means for receiving text entered by a user" refers to a device or system having a function for receiving text data entered by a user through a terminal.

[1115] "Means for analyzing received text using natural language processing and identifying user needs" refers to a device or system that has the functionality to analyze received text data using natural language processing technology and identify the user's specific requests and needs.

[1116] "Means for searching a database for appropriate services based on identified needs" refers to a device or system having the functionality for searching a database for service information corresponding to identified user needs.

[1117] The "means for providing individual advice to the user based on the search results" refers to a device or system having a function for providing the user with optimal advice based on the searched service information.

[1118] "Means for providing specific application procedures corresponding to the user" refers to a device or system that has the function of providing the necessary application procedure information based on the user's needs.

[1119] "Means for recognizing user emotions" refers to a device or system that has the function of analyzing and recognizing emotions from the user's input text, voice, etc.

[1120] The "means for providing additional advice based on the recognized emotion" is a device or system having a function for providing appropriate additional advice based on the recognized emotion of the user.

[1121] "Means for monitoring the emotional state of workers in the work environment and providing advice on breaks and work in accordance with the emotional state" refers to a device or system that has the function of monitoring the emotions of workers at the work site in real time and providing advice on necessary breaks and work based on the emotional state.

[1122] The system of this invention provides users with information to help them receive appropriate welfare services and work support in factories, and gives advice based on their emotional state. The system is composed of the following main hardware and software:

[1123] Hardware

[1124] User device: An input device such as a smartphone, tablet, or computer.

[1125] Server: A server device for storing, analyzing, and processing data.

[1126] Factory robots: Robotic devices that recognize emotions and assist with tasks.

[1127] software

[1128] Natural Language Processing Engine (NLP): Uses libraries such as TextBlob and transformers.

[1129] Sentiment analysis engine: Uses HuggingFace's pipeline('sentiment-analysis').

[1130] Database: A relational database that stores service information corresponding to user needs.

[1131] Data processing / calculation

[1132] 1. Receiving and analyzing text: The text entered by the user on a smartphone or tablet is sent to the server via the network. The server receives this text and performs natural language processing using TextBlob or similar. This is where the user's needs are extracted.

[1133] 2. Service search: Based on the extracted needs information, the server searches for appropriate service information from a relational database.

[1134] 3. Advice generation: Based on the retrieved service information, personalized advice is generated for the user.

[1135] 4. Emotion Recognition: At the same time, the user's input text is analyzed by the emotion analysis engine to identify the user's emotional state.

[1136] 5. Emotion-based additional advice: Generate additional advice, such as encouraging or reassuring messages, based on the identified emotional state.

[1137] 6. Workplace applications: Factory robots monitor workers' emotions in real time and provide breaks or work advice as needed.

[1138] Specific examples

[1139] If a user types something like "I've been feeling very tired lately and my hands feel sluggish" on their smartphone, the text is sent to the server. The server uses TextBlob to analyze the text and determine that the user is tired. At the same time, it uses an emotion analysis engine to recognize that the user is in a "negative" emotional state. Based on this, the system generates advice such as "You seem tired. Take a break and refresh yourself" and provides it to the user.

[1140] Prompt Sentence Examples

[1141] "My current task is 'Recent Tasks' and my mood is 'Tired'. How do I address this?"

[1142] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1143] Step 1:

[1144] A user inputs text using a smartphone or tablet. The input text is sent to a server via the Internet. In this scenario, the user's text information is obtained as input data.

[1145] Step 2:

[1146] The server passes the received text to a natural language processing engine, which uses a library such as TextBlob to analyze the text and extract the user's needs. During this process, the text data is parsed to identify key noun phrases and requests.

[1147] Step 3:

[1148] The server searches for appropriate service information from a relational database based on the extracted needs information, and the search results are returned to the server, which then executes a database query to collect the service information.

[1149] Step 4:

[1150] The server generates personalized advice for the user based on the retrieved service information, which is appropriately customized to the user's specific situation, and is used in the next processing step.

[1151] Step 5:

[1152] At the same time, the server passes the user's input text to a sentiment analysis engine, which uses HuggingFace's pipeline ('sentiment-analysis') model to analyze the emotional state. As a result of the analysis, an emotional state (e.g., positive, negative, neutral) is identified.

[1153] Step 6:

[1154] The server generates additional advice based on the recognized emotions: if the user is in a negative emotional state, a message offering encouragement or reassurance is generated, whereas if the user is in a positive emotional state, a message offering support is generated.

[1155] Step 7:

[1156] The server sends the generated advice and additional advice based on the emotion to the user terminal, and the user can receive the advice and check the displayed message.

[1157] Step 8:

[1158] The user decides what to do based on this advice and information. For example, they can take the necessary steps to use the appropriate service, or take a break to continue working. If the user has additional questions, the process will be repeated from step 1.

[1159] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1160] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1161] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1162] [Fourth embodiment]

[1163] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1164] 7, a 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.

[1165] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1166] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1167] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1168] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1169] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1170] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1171] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1172] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1173] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1174] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1175] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1176] The system of the present invention helps users find appropriate welfare services and efficiently complete the application process. The system uses natural language processing based on user input to search for appropriate services and provide personalized advice.

[1177] The overall flow of the system begins with the user entering text from their device. The user then enters their situation and needs into the chatbot on the LINE app. This text is then sent from the device to the server.

[1178] The server then passes the received text to a natural language processing (NLP) engine for analysis. The NLP engine extracts the user's needs from the text and uses that information to search a database for appropriate welfare services. The search results are then returned to the server, which identifies the services and procedures that best fit the user's situation.

[1179] The device displays search results and advice sent from the server to the user. For example, if a user enters "I'm unemployed and can't pay my rent," the server will identify related welfare services, such as unemployment insurance and public assistance, and provide detailed information. The user will then be given detailed advice on how to use these services, the documents required for application procedures, and where to apply.

[1180] As a specific example, consider the case where a user enters the message "I'm unemployed and can't pay my rent." The server analyzes this message and identifies that the user is in financial difficulty. The server then searches a database for information on unemployment insurance and welfare assistance, and recommends welfare assistance as the most appropriate service. The terminal displays a message to the user saying, "The following procedures are required to apply for welfare assistance. First, please prepare your ID, income certificate, resident registration card, and household account book." It also provides specific information such as, "The nearest social welfare office is here. The address is XXXX."

[1181] If the user has any additional questions, the questions are sent to the server via the device. The server analyzes the questions, generates an appropriate answer from the database, and returns it to the device. For example, if the user asks, "Where can I get a resident registration card?", the server will provide specific information such as, "You can get a resident registration card at your city hall or ward office."

[1182] In this way, the system of the present invention can quickly and accurately provide users with information on the welfare services they need and the application procedures, allowing them to easily find appropriate services and smoothly proceed with the procedures to improve their living environment.

[1183] The processing flow will be explained below.

[1184] Step 1:

[1185] The user launches the LINE app and accesses the "LINE Welfare Navi" chatbot.

[1186] The device will display a prompt asking, "What kind of assistance are you looking for?"

[1187] Step 2:

[1188] Users enter their situation and needs in text form (e.g., "I'm unemployed and can't pay my rent").

[1189] The terminal receives the entered text and sends it to the server as is.

[1190] Step 3:

[1191] The server passes the received text to a natural language processing (NLP) engine to begin analysis.

[1192] An NLP engine analyzes the text and extracts the user's needs (e.g., "financial hardship").

[1193] Step 4:

[1194] The server searches the database for appropriate welfare services based on the analysis results returned by the NLP engine.

[1195] The search results will include multiple welfare services (e.g., "unemployment insurance" and "welfare assistance").

[1196] Step 5:

[1197] The server evaluates the search results and selects the welfare services that best suit the user's needs.

[1198] Obtain detailed information about the selected welfare service (required documents, application procedures, etc.).

[1199] Step 6:

[1200] The terminal presents the selection results and detailed information sent from the server to the user.

[1201] For example: "You may want to apply for welfare. If you would like to know the details of the procedure, please answer 'Yes'."

[1202] Step 7:

[1203] The user indicates a desire for more information (e.g., "Yes, I'd like to know more").

[1204] The terminal sends this message to the server.

[1205] Step 8:

[1206] The server receives the user's request and generates specific procedural information regarding the application for welfare benefits.

[1207] Examples: Required documents (ID, income certificate, resident registration, household account book), application address, application method, etc.

[1208] Step 9:

[1209] The terminal displays the specific procedure information generated to the user.

[1210] Example: "I will explain the procedure for applying for welfare benefits. First, the documents you will need are your ID, proof of income, resident registration, and household account book. Please prepare these."

[1211] Step 10:

[1212] The user asks a follow-up question (e.g., "Where can I get my residency card?").

[1213] The terminal sends this question to the server.

[1214] Step 11:

[1215] The server analyzes the user's question and generates the most appropriate answer (e.g., "You can obtain a resident registration card at your city hall or ward office.").

[1216] The device displays this answer to the user.

[1217] Step 12:

[1218] The user takes action based on the displayed information (e.g., goes to city hall and obtains a resident registration card).

[1219] In this way, users can consistently receive all the information they need to properly access the welfare services they need.

[1220] Example 1

[1221] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1222] In modern society, users face difficulties in finding appropriate support services and the complicated application process. This problem is particularly serious for elderly people and users with little knowledge of welfare services, who need support to improve their living environment. Furthermore, when users have additional questions, they often find it difficult to receive prompt and accurate answers.

[1223] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1224] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate support services based on the identified needs, means for providing the user with personalized advice based on the search results, means for providing the user with corresponding specific procedures, means for analyzing follow-up questions from the user and generating and presenting appropriate answers from the database, and means for identifying support services using the natural language processing engine and the search query. This allows the user to quickly and easily find appropriate support services and smoothly proceed with specific application procedures. In addition, the user can also receive quick and accurate answers when asking follow-up questions.

[1225] "User" refers to any individual or legal entity that uses the System.

[1226] "Input" refers to the act of a user providing textual information to a system.

[1227] "Server" refers to a central processing unit that processes received text information and generates and provides appropriate information.

[1228] "Natural language processing" refers to technology for analyzing text data and understanding linguistic meaning and intent.

[1229] "Needs" refer to the specific requests or problems that users want to solve through the system.

[1230] A "database" refers to an information management system that systematically stores a large amount of information and allows it to be searched and retrieved as needed.

[1231] "Support services" refers to various public or private services provided based on user needs.

[1232] "Search Results" refers to a collection of information extracted from a database that meets a user's needs.

[1233] "Advice" refers to specific solutions or suggestions provided to users.

[1234] "Procedure" refers to the formal method or procedure required for a user to receive a particular service or support.

[1235] A "question" is a query made by a user to the system requesting additional information or clarification.

[1236] "Answer" refers to the specific information or explanation the system provides in response to a user's question.

[1237] "Natural language processing engine" refers to a software component for analyzing text data and extracting meaning.

[1238] "Search query" refers to the commands or conditions used to retrieve specific information from a database.

[1239] "Identification" refers to the act of the system identifying and presenting appropriate information and services based on the user's needs and questions.

[1240] MODE FOR CARRYING OUT THE INVENTION

[1241] The system of the present invention is designed to enable users to find appropriate support services and efficiently proceed with application procedures. How the system can be implemented will be described below in detail.

[1242] Overview of Program Generation and Processing

[1243] The system consists of three main components for data processing: a server, a terminal, and a user. The server uses a natural language processing engine and a database to analyze the user's input data and search for and provide appropriate support services.

[1244] Hardware and software used

[1245] 1. Server: Use a high-performance cloud server or physical server. Examples include AWS (Amazon Web Services) and Google Cloud Platform.

[1246] 2. Natural language processing engines: Use generative AI models such as Google's BERT or OpenAI's GPT-3.

[1247] 3. Database: Use a relational database management system such as PostgreSQL or MySQL.

[1248] 4. Devices: This includes smartphones and computers used by users, as well as messaging platforms such as the LINE app.

[1249] Details of data processing and calculation

[1250] Users use the LINE app on their smartphones to input their situation and needs, such as "I'm unemployed and can't pay my rent." This input data is sent from the device to the server.

[1251] The server analyzes the text data using a natural language processing engine (e.g., GPT-3) to extract the user's needs. For example, keywords such as "unemployment," "rent," and "poverty" are obtained as analysis results.

[1252] The server then issues a search query based on these keywords to a database, which returns information about support services that match the keywords, such as "welfare" or "unemployment insurance."

[1253] The server generates the search results as JSON format data and sends it to the device. The JSON data includes details of the service, the documents required for the application procedure, and the application location.

[1254] The device parses this JSON data and displays it visually to the user in an easy-to-understand format, allowing the user to understand the support services they need and the specific procedures they need to follow.

[1255] If the user asks a follow-up question, it is sent to the server via the device, where it is parsed, retrieved from the database, and returned to the device, also in JSON format, for display to the user.

[1256] Examples and prompts

[1257] As a concrete example, if a user types "I'm unemployed and can't pay my rent" into a chatbot on the LINE app, the following prompt text will be sent to the server.

[1258] Example prompt sentence:

[1259] User input: "I'm unemployed and can't pay my rent."

[1260] The server analyzes this using a natural language processing engine and responds as follows:

[1261] Analysis result: "To apply for unemployment insurance, please follow the procedure below. Required documents include ID, proof of income, residence card, and household account book."

[1262] In this way, the system of the present invention can quickly and accurately provide users with information on the support services they need and the application procedures, allowing them to easily find appropriate services and smoothly proceed with the procedures to improve their living environment.

[1263] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1264] Step 1: User Input

[1265] Description: Users input their situation and needs into the chatbot on the LINE app.

[1266] Specific operation: The user opens the LINE app on their smartphone, types "I'm unemployed and can't pay my rent," and sends it.

[1267] Input: "I'm unemployed and can't pay my rent."

[1268] Output: Text data entered by the user

[1269] Step 2: Send a text

[1270] Description: The terminal receives text entered by the user and sends it to the server.

[1271] Specific operation: When the send button is pressed on the device, text data is sent to the server via the HTTPS protocol.

[1272] Input: Text data entered by the user

[1273] Output: Text data sent to the server

[1274] Step 3: Text analysis

[1275] Description: The server passes the received text to a natural language processing engine for analysis. The NLP engine extracts the user's specific needs and circumstances from the received text.

[1276] How it works: The server receives the text and passes it to an NLP engine (e.g., GPT-3), which extracts keywords such as "unemployment," "rent," and "financial hardship."

[1277] Input: Text data sent to the server

[1278] Output: Keywords extracted by the NLP engine

[1279] Step 4: Service Discovery

[1280] Description: The server searches the database for appropriate welfare services based on the extracted needs.

[1281] How it works: The server generates an SQL query based on the keywords obtained from the NLP engine and queries the database. The database returns related services such as "unemployment insurance" and "welfare assistance."

[1282] Input: Keywords extracted by the NLP engine

[1283] Output: Related service information returned from the database

[1284] Step 5: Search results presentation

[1285] Description: The device receives search results and advice sent from the server and displays them to the user.

[1286] Specific operation: The server sends the search results (e.g., JSON format data) to the terminal via HTTPS. The terminal parses the data and displays it in a user-friendly format.

[1287] Input: Related service information returned from the database

[1288] Output: Search results and advice displayed to the user

[1289] Step 6: Additional Question Processing

[1290] Description: When the user asks a follow-up question, the question is sent to the server via the device. The server analyzes the question, generates an appropriate answer from the database, and returns it to the device.

[1291] Specific operation: The user asks, "Where can I get a resident registration card?" The device sends the question to the server. The server analyzes the question, retrieves information about city halls and ward offices from a database, and generates an answer. The device receives the answer and displays it to the user.

[1292] Input: Additional question from the user

[1293] Output: The answer retrieved from the database and displayed

[1294] In this way, the entire system works together to provide users with fast and effective support. At each step, the necessary data processing and calculations are performed based on the input data, and the results are used as input for the next step.

[1295] (Application example 1)

[1296] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1297] In the past, it was difficult to ensure security during the welfare service search and application process, as users' personal information could be subject to unauthorized access and fraud. Another problem was the insufficient support system for users to find appropriate welfare services quickly and efficiently. This led to delays in the use of many welfare services, resulting in situations where users were unable to receive the support they needed.

[1298] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1299] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate welfare services based on the identified needs, means for providing the user with personalized advice based on the search results, means for providing the user with specific application procedures corresponding to the user, means for encrypting the data entered by the user and managing it in a secure server, and means for returning the encrypted data to the user terminal. This makes it possible to search for appropriate welfare services and complete application procedures quickly and efficiently while ensuring the safety of the user's personal information.

[1300] "User" refers to any individual or entity that uses the System.

[1301] "Entered Text" means a document containing information or requests that a User submits to the System.

[1302] "Means for receiving" refers to the function for incorporating text entered by a user into the system.

[1303] "Natural language processing" refers to the technology that allows computers to understand and analyze human language.

[1304] "Means for analyzing and identifying user needs" refers to the functionality of using natural language processing technology to analyze user input and extract specific requests and requirements from it.

[1305] A "database" refers to a system for efficiently storing, searching, and managing large amounts of data.

[1306] "Searching means" refers to the function for locating appropriate information from a database based on analysis.

[1307] "Means for providing personalized advice" refers to a function that provides users with the most appropriate advice or suggestions based on search results.

[1308] "Means for providing application procedures" refers to the function for informing users of the specific procedures and information on required documents.

[1309] "Encryption" refers to the technology of converting data into a form that cannot be deciphered by third parties.

[1310] A "secure server" refers to a computer system that has the functionality to securely store data and protect it from unauthorized access.

[1311] "User terminal" refers to a device used by a user, such as a computer or smartphone.

[1312] "Means for returning" refers to the function for sending data from the server to the user terminal.

[1313] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings.

[1314] 1. System Configuration

[1315] This invention is realized by a system including a user terminal, a server, and a secure database. The user terminal is a smartphone, tablet, or PC, and receives text data entered by the user. The server receives this text data, analyzes it using natural language processing, and recommends appropriate welfare services based on the results. Furthermore, the server has a security function that encrypts the input data and returns it to the user terminal.

[1316] 2. Hardware and Software Use

[1317] User devices: smartphones (iOS, Android, etc.), tablets, PCs

[1318] Server: Python and web frameworks such as Django, cryptography libraries (e.g., cryptography)

[1319] Natural Language Processing Engines: NLP tools (e.g., NLTK, spaCy)

[1320] 3. Data processing and calculation

[1321] The server receives text data entered by the user on the device. The received data is analyzed by a natural language processing engine to identify the user's needs. It then searches a database for appropriate welfare services and generates personalized advice based on the user's situation. These results are then encrypted and sent back to the user's device.

[1322] 4. Specific Examples

[1323] For example, if a user enters "I'm unemployed and can't pay my rent," the server analyzes this message and identifies that the user is in financial difficulty. The server then searches its database for information on welfare and unemployment insurance and recommends welfare as the most suitable service. The device displays a message to the user saying, "To apply for welfare, you must follow the steps below. First, please prepare your identity card and proof of income." Furthermore, the details are sent back to the user's device in encrypted form, protecting the user's personal information.

[1324] 5. Examples of prompts

[1325] Below is an example of a prompt sentence.

[1326] Design an application that encrypts and securely processes user input such as "I'm unemployed and can't pay my rent" and implement the server-side encryption process in Python / Django.

[1327] This allows users to search for appropriate welfare services and complete application procedures quickly and efficiently in a secure environment.

[1328] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1329] Step 1:

[1330] Users input text data using devices such as smartphones or PCs. The input data includes information about welfare services the user needs and questions.

[1331] Input: Text data entered by the user (e.g., "I'm unemployed and can't pay my rent")

[1332] Output: The entered text data is sent from the terminal to the server.

[1333] Step 2:

[1334] The terminal sends the text data entered by the user to the server, which then incorporates the user's request into the system.

[1335] Input: User's text data

[1336] Output: Text data sent to the server

[1337] Step 3:

[1338] The server passes the received text data to a natural language processing engine for analysis, which extracts the user's needs from the text.

[1339] Input: Received text data

[1340] Data processing: Text analysis using natural language processing (e.g., identifying that a user is in financial difficulty)

[1341] Output: Analysis results (user needs)

[1342] Step 4:

[1343] The server searches the database for appropriate welfare services based on the extracted needs, and the search results are those that meet the user's situation and requirements.

[1344] Input: Analysis results (user needs)

[1345] Data search: Search for relevant welfare services from the database (e.g., unemployment insurance, welfare assistance)

[1346] Output: Search results (information on appropriate welfare services)

[1347] Step 5:

[1348] The server then creates personalized advice for the user based on the search results, including which services are suitable, how to apply, and what documents are required.

[1349] Input: Search results (information on appropriate welfare services)

[1350] Data processing: advice generation

[1351] Output: Specific advice (e.g., "You need ID to apply for welfare").

[1352] Step 6:

[1353] The server encrypts the data entered by the user and the advice provided and stores it on a secure server, ensuring the safety of the data.

[1354] Input: User-entered and advice data

[1355] Data processing: Data encryption

[1356] Output: Encrypted data

[1357] Step 7:

[1358] The server then sends the encrypted data back to the user's device, allowing the user to receive the information in a secure manner.

[1359] Input: Encrypted data

[1360] Output: Encrypted data sent back to the user device

[1361] Step 8:

[1362] The device receives the encrypted data returned from the server and presents it to the user, allowing the user to securely obtain the information and advice they need.

[1363] Input: Encrypted data sent back from the server

[1364] Output: Advice and information presented to the user

[1365] Through these steps, users can quickly and efficiently search for and apply for appropriate welfare services in a secure environment.

[1366] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1367] The system of the present invention not only helps users find appropriate welfare services and efficiently process applications, but also recognizes the user's emotions and provides support accordingly. The system uses natural language processing and an emotion engine based on user input to search for appropriate services and provide personalized advice.

[1368] The overall flow of the system begins with the user entering text from their device. The user then enters their situation and needs into the chatbot on the LINE app. This text is then sent from the device to the server.

[1369] The server then passes the received text to a natural language processing (NLP) engine for analysis. The NLP engine extracts the user's needs from the text and uses that information to search a database for appropriate welfare services. The search results are then returned to the server, which identifies the services and procedures that best fit the user's situation.

[1370] This is where the emotion engine, a distinctive feature of the present invention, is added. At the same time, the server also passes the user's input text to the emotion engine to recognize the user's emotional state. The emotion engine determines the emotion from the user's linguistic expression and returns the result to the server.

[1371] The device combines the search results sent from the server with the analysis results of the emotion engine to present appropriate advice to the user. For example, if a user enters "I'm unemployed and can't pay my rent," the server will identify relevant welfare services, such as unemployment insurance and welfare assistance, and provide detailed information. Furthermore, if the emotion engine recognizes strong anxiety or impatience in the user's input, it will also present a special message tailored to that emotional state (e.g., "Don't worry, we'll help you").

[1372] As a specific example, consider the case where a user types, "I'm unemployed and can't pay my rent. What should I do?" The server analyzes this message and identifies that the user is in financial difficulty. The server then searches a database for information on unemployment insurance and welfare assistance, and recommends welfare assistance as the most appropriate service. At the same time, the emotion engine recognizes emotions of anxiety and fear from the user's input. The device displays the message, "You might want to apply for welfare assistance. First, please prepare your ID, income certificate, resident registration card, and household account book. Don't worry, we're always here to help if you have any questions."

[1373] Furthermore, if the user has additional questions, the questions are sent to the server via the device. The server analyzes the content of the question, generates an appropriate answer from its database, and returns it to the device. For example, if the user asks, "Where can I get a resident registration card?", the server will provide specific information such as, "You can get a resident registration card at your city hall or ward office." On the other hand, if the emotion engine recognizes impatience or confusion in the user's question, it will display an additional encouraging message on the device, such as, "There's no need to rush. We'll help you with any information you need."

[1374] In this way, the system of the present invention not only provides users with the information and application procedures for the welfare services they need quickly and accurately, but also provides support tailored to the user's emotional state, allowing users to easily find appropriate services and smoothly proceed with the procedures to improve their living environment, while also creating an environment where they can consult with peace of mind.

[1375] The processing flow will be explained below.

[1376] Step 1:

[1377] The user launches the LINE app and accesses the "LINE Welfare Navi" chatbot.

[1378] The device will display a prompt asking, "What kind of assistance are you looking for?"

[1379] Step 2:

[1380] Users enter their situation and needs in text form (e.g., "I'm unemployed and can't pay my rent").

[1381] The terminal receives the entered text and sends it to the server as is.

[1382] Step 3:

[1383] The server passes the received text to a natural language processing (NLP) engine to begin analysis.

[1384] An NLP engine analyzes the text and extracts the user's needs (e.g., "financial hardship").

[1385] Step 4:

[1386] The server passes the extracted needs information to the emotion engine.

[1387] The emotion engine recognizes the user's emotional state from the text they input (e.g., "anxiety" or "impatience").

[1388] Step 5:

[1389] The server searches a database for appropriate welfare services based on the identified needs and emotional state.

[1390] The search results will include multiple welfare services (e.g., "unemployment insurance" and "welfare assistance").

[1391] Step 6:

[1392] The server evaluates the search results and selects the welfare services that best suit the user's needs and feelings.

[1393] Obtain detailed information about the selected welfare service (required documents, application procedures, etc.).

[1394] Step 7:

[1395] The terminal presents the search results, sentiment analysis results, and detailed information sent from the server to the user.

[1396] For example: "You might want to apply for welfare. First, prepare your ID, proof of income, residence card, and household account book. Don't worry, we'll help you."

[1397] Step 8:

[1398] The user indicates a desire for more information (e.g., "Yes, I'd like to know more").

[1399] The terminal sends this message to the server.

[1400] Step 9:

[1401] The server receives the user's request and generates specific procedural information regarding the application for welfare benefits.

[1402] Examples: Required documents (ID, income certificate, resident registration, household account book), application address, application method, etc.

[1403] Step 10:

[1404] The terminal displays the specific procedure information generated to the user.

[1405] Example: "I will explain the procedure for applying for welfare benefits. First, the documents you will need are your ID, proof of income, resident registration, and household account book. Please prepare these."

[1406] Step 11:

[1407] The user asks a follow-up question (e.g., "Where can I get my residency card?").

[1408] The terminal sends this question to the server.

[1409] Step 12:

[1410] The server analyzes the user's question and generates the most appropriate answer (e.g., "You can obtain a resident registration card at your city hall or ward office.").

[1411] The device displays this answer to the user.

[1412] Step 13:

[1413] If the server determines based on the results of the emotion engine that the user is feeling anxious or impatient, it generates an additional encouraging message such as, "There's no need to rush. Don't worry, we're always here to help you."

[1414] Step 14:

[1415] The terminal displays this additional message to the user.

[1416] In this way, users can receive all the information and emotional support they need to make the most of the welfare services they need.

[1417] Example 2

[1418] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1419] In modern society, a variety of welfare services are available, but it is difficult for users to find appropriate services and smoothly go through the application process. Furthermore, when using welfare services, users often need emotional support. For users facing financial hardship or emergencies, emotional support is especially important, rather than simply providing information. Conventional systems lack support that takes into account the user's emotional state, and are unable to improve users' sense of security or satisfaction.

[1420] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1421] In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate welfare services based on the identified needs, means for recognizing emotions from the user's input text, means for providing the user with personalized advice based on the search results and the emotion recognition results, and means for providing the user with specific application procedures. This enables users to not only receive information, but also to quickly and accurately find the welfare services they need and proceed with the application procedures with peace of mind while receiving support that is sensitive to their emotions.

[1422] "User" refers to a person who uses this system to search for information on welfare services and complete application procedures.

[1423] "Means for receiving text" refers to a device or software that receives text data entered by a user and obtains it in a processable form.

[1424] "Natural language processing" refers to the technology that enables computers to understand, analyze, and generate human language.

[1425] "Means for identifying needs" refers to methods and technologies for extracting the user's requests and required assistance from the text entered by the user.

[1426] "Database retrieval means" refers to methods and techniques for locating relevant information and services from data stores based on identified needs.

[1427] "Means for recognizing emotions" refers to technologies and methods for analyzing and determining the emotional state of a user from the text they enter.

[1428] "Means for providing personalized advice" refers to methods and technologies that provide users with optimal advice and instructions based on search results and emotion recognition results.

[1429] "Means for providing application procedures" refers to methods or technologies that guide users through the specific steps and document information required to apply for specific welfare services.

[1430] "Means for obtaining additional information" refers to the methods and techniques used to collect necessary data or information in response to a user's follow-up questions or requests.

[1431] "Means for providing optimal answers" refers to methods and technologies for analyzing a user's question and generating and providing the most appropriate answer to that question.

[1432] The present invention is a system that allows users to find appropriate welfare services and efficiently process applications, and in particular, recognizes the user's emotions and provides support accordingly. Specific embodiments of this system are described in detail below.

[1433] The basic structure of the system begins with the user entering text using a device. The user uses the chatbot on the LINE app to enter their situation and needs in text format. This entered text is then sent from the device to the server.

[1434] Details of the hardware and software used:

[1435] 1. Device:

[1436] Mobile devices such as smartphones and tablets used by users.

[1437] The LINE application is installed.

[1438] Internet connection is available.

[1439] 2. Server:

[1440] Use high-performance cloud servers or dedicated servers.

[1441] Equipped with a natural language processing engine (e.g., SpaCy, NLTK).

[1442] Equipped with a sentiment analysis engine (e.g., Google Cloud Natural Language API, IBM Watson Tone Analyzer).

[1443] Uses databases (e.g., MySQL, PostgreSQL) to manage welfare service information.

[1444] The specific process of the system:

[1445] 1. User enters text:

[1446] Users input their concerns into the chatbot on the LINE app, such as, "I've lost my job and can't pay my rent. What should I do?"

[1447] 2. The device sends a text:

[1448] The terminal encrypts the text data entered by the user and transmits it to the server using a security protocol.

[1449] 3. The server parses the text:

[1450] The server sends the received text to a natural language processing engine (e.g., SpaCy) to analyze the user's needs. The analyzed needs (e.g., unemployment, difficulty paying rent) are extracted and appropriate welfare services are searched for in a database.

[1451] 4. Emotion analysis:

[1452] At the same time, the server passes the text data to an emotion analysis engine (e.g., Google Cloud Natural Language API) to analyze the user's emotional state and obtains the analysis result (e.g., anxiety, impatience).

[1453] 5. Integration of results and message generation:

[1454] The server integrates the analysis results with the sentiment analysis results and generates a message that provides optimal advice to the user.

[1455] For example, you might receive a message saying, "You may want to apply for welfare. First, please prepare your identification, income certificate, resident registration card, and household account book. If you have any questions, don't worry, we're always here to help."

[1456] 6. Send the results to your device:

[1457] The generated message is sent from the server to the terminal and displayed to the user.

[1458] Examples:

[1459] If the user types "I'm unemployed and can't pay my rent, what should I do?", the server processes it as follows:

[1460] 1. A natural language processing engine analyzes "unemployment" and "difficulty paying rent" and searches a database for relevant welfare services (e.g., unemployment insurance, welfare assistance).

[1461] 2. The emotion analysis engine analyzes "anxiety" and "impatience."

[1462] 3. A message will be generated and displayed on the device stating, "You may want to apply for welfare benefits. First, please prepare your identification, proof of income, resident registration, and household account book. If you have any questions, please rest assured that we are always here to help you."

[1463] Example prompt sentence:

[1464] "If I lose my job and can't pay my rent, what welfare services are available to me?"

[1465] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1466] Step 1:

[1467] The user enters the problem or inquiry content in text format.

[1468] Specifically, the user enters a question into the chatbot on the LINE app, such as "I've lost my job and can't pay my rent, what should I do?", and taps the send button. The text "I've lost my job and can't pay my rent, what should I do?" is obtained as input.

[1469] Step 2:

[1470] The terminal sends the entered text to the server.

[1471] Specifically, the terminal encrypts the input text data using Secure Sockets Layer (SSL) technology and sends it to the server via the Internet. The input is the user's text data, and the encrypted data is sent as the output.

[1472] Step 3:

[1473] The server passes the received text to the natural language processing engine to begin analysis.

[1474] Specifically, the server invokes a natural language processing engine (e.g., SpaCy) that uses a generative AI model to analyze the text and extract key keywords and needs (e.g., "unemployed," "difficulty paying rent"). The input is the received text, and the output is the analyzed keywords.

[1475] Step 4:

[1476] The server uses a sentiment analysis engine to recognize the emotional state of the text.

[1477] Specifically, the server passes the text to an emotion analysis engine (e.g., Google Cloud Natural Language API) to determine the emotional state (e.g., "anxiety" or "impatience"). The input is the text to be analyzed, and the output is the emotion analysis result.

[1478] Step 5:

[1479] The server searches the database for appropriate welfare services based on the results of natural language processing.

[1480] Specifically, the server issues an SQL query to a database such as MySQL to retrieve information about related welfare services (e.g., unemployment insurance, welfare assistance). The input is the parsed keyword, and the output is welfare service information.

[1481] Step 6:

[1482] The server integrates the search results with the sentiment analysis results and generates a message to be provided to the user.

[1483] Specifically, the server combines the results of natural language processing and sentiment analysis to generate a message that reads, "You might want to apply for welfare. First, please prepare your ID, income certificate, resident registration, and household account book. If you have any questions, don't worry, we're always here to help you." The inputs are the database search results and the sentiment analysis results, and the output is a message for the user.

[1484] Step 7:

[1485] The server generates a message and sends it to the terminal.

[1486] Specifically, the server encrypts the generated message using SSL technology and sends it to the terminal. The generated message is the input, and the encrypted data is sent to the terminal as the output.

[1487] Step 8:

[1488] The terminal displays the received message to the user.

[1489] Specifically, the device receives the encrypted data sent from the server, decrypts it, and displays a message to the user saying, "You might want to apply for welfare. First, please prepare your ID, income certificate, resident registration card, and household account book. If you have any questions, please don't worry, we're always here to help you." The input is the received encrypted data, and the output is the message to be displayed.

[1490] (Application example 2)

[1491] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1492] Conventional welfare service support systems only search for and provide services that meet the user's needs, but lack support that takes into account the user's emotional state. Furthermore, in work environments such as factories, there is a lack of technology that can monitor the emotions and stress levels of workers in real time and respond appropriately. Therefore, there is a need for appropriate support that reduces the mental burden on users and workers while allowing them to continue working efficiently.

[1493] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving text entered by a user, means for analyzing the received text using natural language processing and identifying the user's needs, means for searching a database for appropriate services based on the identified needs, means for providing individual advice to the user based on the search results, means for providing specific application procedures corresponding to the user, means for recognizing the user's emotions, means for providing additional advice based on the recognized emotions, and means for monitoring the emotional state of workers in the work environment and providing break and work advice according to the emotional state. This enables efficient support for work performance while reducing the mental burden on users and workers.

[1494] The "means for receiving text entered by a user" refers to a device or system having a function for receiving text data entered by a user through a terminal.

[1495] "Means for analyzing received text using natural language processing and identifying user needs" refers to a device or system that has the functionality to analyze received text data using natural language processing technology and identify the user's specific requests and needs.

[1496] "Means for searching a database for appropriate services based on identified needs" refers to a device or system having the functionality for searching a database for service information corresponding to identified user needs.

[1497] The "means for providing individual advice to the user based on the search results" refers to a device or system having a function for providing the user with optimal advice based on the searched service information.

[1498] "Means for providing specific application procedures corresponding to the user" refers to a device or system that has the function of providing the necessary application procedure information based on the user's needs.

[1499] "Means for recognizing user emotions" refers to a device or system that has the function of analyzing and recognizing emotions from the user's input text, voice, etc.

[1500] The "means for providing additional advice based on the recognized emotion" is a device or system having a function for providing appropriate additional advice based on the recognized emotion of the user.

[1501] "Means for monitoring the emotional state of workers in the work environment and providing advice on breaks and work in accordance with the emotional state" refers to a device or system that has the function of monitoring the emotions of workers at the work site in real time and providing advice on necessary breaks and work based on the emotional state.

[1502] The system of this invention provides users with information to help them receive appropriate welfare services and work support in factories, and gives advice based on their emotional state. The system is composed of the following main hardware and software:

[1503] Hardware

[1504] User device: An input device such as a smartphone, tablet, or computer.

[1505] Server: A server device for storing, analyzing, and processing data.

[1506] Factory robots: Robotic devices that recognize emotions and assist with tasks.

[1507] software

[1508] Natural Language Processing Engine (NLP): Uses libraries such as TextBlob and transformers.

[1509] Sentiment analysis engine: Uses HuggingFace's pipeline('sentiment-analysis').

[1510] Database: A relational database that stores service information corresponding to user needs.

[1511] Data processing / calculation

[1512] 1. Receiving and analyzing text: The text entered by the user on a smartphone or tablet is sent to the server via the network. The server receives this text and performs natural language processing using TextBlob or similar. This is where the user's needs are extracted.

[1513] 2. Service search: Based on the extracted needs information, the server searches for appropriate service information from a relational database.

[1514] 3. Advice generation: Based on the retrieved service information, personalized advice is generated for the user.

[1515] 4. Emotion Recognition: At the same time, the user's input text is analyzed by the emotion analysis engine to identify the user's emotional state.

[1516] 5. Emotion-based additional advice: Generate additional advice, such as encouraging or reassuring messages, based on the identified emotional state.

[1517] 6. Workplace applications: Factory robots monitor workers' emotions in real time and provide breaks or work advice as needed.

[1518] Specific examples

[1519] If a user types something like "I've been feeling very tired lately and my hands feel sluggish" on their smartphone, the text is sent to the server. The server uses TextBlob to analyze the text and determine that the user is tired. At the same time, it uses an emotion analysis engine to recognize that the user is in a "negative" emotional state. Based on this, the system generates advice such as "You seem tired. Take a break and refresh yourself" and provides it to the user.

[1520] Prompt Sentence Examples

[1521] "My current task is 'Recent Tasks' and my mood is 'Tired'. How do I address this?"

[1522] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1523] Step 1:

[1524] A user inputs text using a smartphone or tablet. The input text is sent to a server via the Internet. In this scenario, the user's text information is obtained as input data.

[1525] Step 2:

[1526] The server passes the received text to a natural language processing engine, which uses a library such as TextBlob to analyze the text and extract the user's needs. During this process, the text data is parsed to identify key noun phrases and requests.

[1527] Step 3:

[1528] The server searches for appropriate service information from a relational database based on the extracted needs information, and the search results are returned to the server, which then executes a database query to collect the service information.

[1529] Step 4:

[1530] The server generates personalized advice for the user based on the retrieved service information, which is appropriately customized to the user's specific situation, and is used in the next processing step.

[1531] Step 5:

[1532] At the same time, the server passes the user's input text to a sentiment analysis engine, which uses HuggingFace's pipeline ('sentiment-analysis') model to analyze the emotional state. As a result of the analysis, an emotional state (e.g., positive, negative, neutral) is identified.

[1533] Step 6:

[1534] The server generates additional advice based on the recognized emotions: if the user is in a negative emotional state, a message offering encouragement or reassurance is generated, whereas if the user is in a positive emotional state, a message offering support is generated.

[1535] Step 7:

[1536] The server sends the generated advice and additional advice based on the emotion to the user terminal, and the user can receive the advice and check the displayed message.

[1537] Step 8:

[1538] The user decides what to do based on this advice and information. For example, they can take the necessary steps to use the appropriate service, or take a break to continue working. If the user has additional questions, the process will be repeated from step 1.

[1539] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1540] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1541] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1542] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1543] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1544] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1545] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1546] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1547] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1548] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1549] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1550] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1551] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1552] 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.

[1553] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1554] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1555] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1556] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1557] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1558] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1559] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1560] The following is further disclosed regarding the above embodiment.

[1561] (Claim 1)

[1562] a means for receiving user-entered text;

[1563] a means for analyzing the received text using natural language processing to identify user needs;

[1564] a means of searching a database for appropriate welfare services based on identified needs;

[1565] a means of providing users with personalized advice based on their search results;

[1566] The system includes a means for providing users with a corresponding specific application process.

[1567] (Claim 2)

[1568] 10. The system of claim 1, further comprising means for obtaining additional information and generating an answer based on the user's question.

[1569] (Claim 3)

[1570] 10. The system of claim 1, further comprising means for analyzing a user's question using natural language processing and providing an optimal answer.

[1571] "Example 1"

[1572] (Claim 1)

[1573] a means for receiving user-entered text;

[1574] a means for analyzing the received text using natural language processing to identify user needs;

[1575] a means for searching a database for appropriate support services based on identified needs;

[1576] a means of providing users with personalized advice based on search results;

[1577] a means of providing specific procedures for users to respond;

[1578] A means for analyzing follow-up questions from the user and generating and presenting appropriate answers from the database;

[1579] A system including a natural language processing engine and a means for identifying assistance services using a search query.

[1580] (Claim 2)

[1581] 10. The system of claim 1, further comprising means for obtaining additional information and generating an answer based on the user's question.

[1582] (Claim 3)

[1583] 10. The system of claim 1, further comprising means for analyzing a user's question using natural language processing and providing an optimal answer.

[1584] "Application Example 1"

[1585] (Claim 1)

[1586] a means for receiving user-entered text;

[1587] a means for analyzing the received text using natural language processing to identify user needs;

[1588] a means of searching a database for appropriate welfare services based on identified needs;

[1589] a means of providing users with personalized advice based on their search results;

[1590] A means to provide users with a specific application procedure;

[1591] A means to encrypt the data entered by the user and manage it on a secure server,

[1592] The system includes a means for transmitting the encrypted data back to the user terminal.

[1593] (Claim 2)

[1594] 10. The system of claim 1, further comprising means for obtaining additional information and generating an answer based on the user's question.

[1595] (Claim 3)

[1596] 10. The system of claim 1, further comprising means for analyzing a user's question using natural language processing and providing an optimal answer.

[1597] "Example 2: Combining Emotion Engines"

[1598] (Claim 1)

[1599] a means for receiving user-entered text;

[1600] a means for analyzing the received text using natural language processing to identify user needs;

[1601] a means of searching a database for appropriate welfare services based on identified needs;

[1602] a means for recognizing emotions from user input text;

[1603] a means for providing personalized advice to users based on search results and emotion recognition results;

[1604] The system includes a means for providing users with a corresponding specific application process.

[1605] (Claim 2)

[1606] 10. The system of claim 1, further comprising means for obtaining additional information and generating an answer based on the user's question.

[1607] (Claim 3)

[1608] 10. The system of claim 1, further comprising means for analyzing a user's question using natural language processing and providing an optimal answer.

[1609] "Application example 2 when combining emotion engines"

[1610] (Claim 1)

[1611] a means for receiving user-entered text;

[1612] a means for analyzing the received text using natural language processing to identify user needs;

[1613] a means for searching a database for appropriate services based on identified needs;

[1614] a means of providing users with personalized advice based on their search results;

[1615] A means to provide users with a specific application procedure;

[1616] a means of recognizing a user's emotions;

[1617] a means of providing additional advice based on the perceived emotions;

[1618] A system including a means for monitoring the emotional state of a worker in a work environment and providing breaks or work advice depending on the emotional state.

[1619] (Claim 2)

[1620] 10. The system of claim 1, further comprising means for obtaining additional information and generating an answer based on the user's question.

[1621] (Claim 3)

[1622] 10. The system of claim 1, further comprising means for analyzing a user's question using natural language processing and providing an optimal answer. [Explanation of symbols]

[1623] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for receiving user-entered text; a means for analyzing the received text using natural language processing to identify user needs; a means of searching a database for appropriate welfare services based on identified needs; a means of providing users with personalized advice based on their search results; The system includes a means for providing users with a corresponding specific application process.

2. 10. The system of claim 1, further comprising means for obtaining additional information and generating an answer based on the user's question.

3. The system according to claim 1 , further comprising means for analyzing a user's question using natural language processing and providing an optimal answer.

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