system

Abstract

We provide the system. [Solution] Means for obtaining attribute information from users, A means for extracting relevant administrative systems from a data collection based on the aforementioned attribute information, A means for proposing the outline of the extracted administrative system and the application method using a generative information processing device, A means for providing an operation screen to support applications for the proposed administrative system, A means for communicating with an information processing device to generate a response to a public service, A system that includes this.

Description

Technical Field

[0001] The technology of this disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Although the support and subsidy systems provided by the government are useful to users, due to their diversity and the complexity of procedures, there is a problem that many target users do not fully utilize them. In addition, it is difficult to appropriately grasp the information of the support system and propose the most suitable system for individual users, and there is a lack of means to enable users to accurately understand the information of the system and apply quickly. Therefore, it is an issue to provide a system that allows users to easily find the system most suitable for their situation and apply efficiently. <0​​​​​This invention provides a system that automatically extracts relevant public systems from a database based on information entered by the user, and uses generative artificial intelligence to propose the details and usage procedures of those systems in an easy-to-understand manner. This system includes means for acquiring user information, extracting systems, generating proposals, and providing an application support interface. Furthermore, it includes means for improving accuracy based on feedback and updating new system information, thereby improving the efficiency of system utilization and the quality of information provided to users.

[0006] "Means of acquiring user information" refers to interfaces and functions for collecting personal information from users, such as age, place of residence, occupation, and income.

[0007] A "system extraction method" is a program or process for efficiently selecting relevant support and subsidy programs by searching a database based on collected user information.

[0008] The "proposal generation method" is a function that uses generative artificial intelligence to provide users with easy-to-understand proposals about the details and usage procedures of extracted systems.

[0009] An "application support interface" is an interface designed to help users obtain more detailed information about the presented system and to facilitate the application process.

[0010] A "feedback-based accuracy improvement mechanism" is a mechanism for collecting user feedback and using that information to improve the accuracy and quality of information provided and proposed by the system.

[0011] A "new system information update method" refers to a method or mechanism for adding information on newly announced support and subsidy programs to a database, ensuring that users are always provided with the latest information. [Brief explanation of the drawing]

[0012] [Figure 1]This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0013] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc.

[0016] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0018] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc.

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0023] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0025] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0032] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0033] The system of the present invention assists users in easily finding and applying for appropriate government support and subsidy programs. Its embodiments are described in detail below.

[0034] The system operates primarily with a server, terminals, and users. First, users input their information via a terminal. This includes basic personal information, background, and social attributes. The terminal then quickly transmits the input information to the server.

[0035] The server analyzes the received information and extracts suitable systems from the database for the user. An automated system extraction method is used to compare the collected information with existing system data. Generative artificial intelligence is utilized in this process to identify highly relevant systems.

[0036] The extracted programs are proposed to the user by the server. The server generates detailed information such as an overview of the program, application procedures, and required documents, and sends it to the terminal. Users can easily decide which program to use by reviewing the information presented on the terminal. Furthermore, if the user wishes to apply for a program, the application process is supported through the interface on the terminal. Links and guides are provided to simplify the process.

[0037] As a concrete example, if a single mother in her 30s living in Tokyo wants to receive childcare support, she would first enter her information into a terminal. The server would process the received data and, as a result, present the relevant childcare support programs. For example, the "Childcare Allowance for Single Mothers" might be identified, and the user would be provided with details, application forms, and guidance on the procedure. Following the instructions, the user could then efficiently apply online.

[0038] This system can also improve the accuracy of information based on user feedback. Furthermore, when new regulations are added, the database is automatically updated to maintain the provision of the latest information. This ensures that users are always provided with the most up-to-date and optimal regulations.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] Users enter personal information such as age, place of residence, occupation, and income using their devices. The entered information is collected through user information acquisition methods.

[0042] Step 2:

[0043] The device sends the collected user information to the server. The information is transmitted securely and appropriately protected through a secure communication protocol.

[0044] Step 3:

[0045] The server analyzes the received user information. The information is categorized and compared with administrative system information stored in the system's database.

[0046] Step 4:

[0047] The server uses generative artificial intelligence to automatically extract relevant support and subsidy programs based on user information. The system then prioritizes selecting programs with a high degree of relevance.

[0048] Step 5:

[0049] The server generates detailed information and usage procedures for the extracted systems, and describes them in natural language through a proposal generation mechanism. This results in information in a format that is easy for users to understand.

[0050] Step 6:

[0051] The server sends the generated proposal to the terminal. The information provided to the user includes the purpose of the program, application procedures, and required documents.

[0052] Step 7:

[0053] Users can view information about the programs presented to them via their devices. They can select programs that interest them and view more detailed information.

[0054] Step 8:

[0055] The device provides an interface to support the user in the application process. Application links and forms are displayed, allowing the user to proceed with the process online.

[0056] Step 9:

[0057] The server receives user feedback and uses it to improve the accuracy of future policy proposals. The feedback is anonymized and used to update the database, etc.

[0058] (Example 1)

[0059] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0060] Government support programs are diverse, and it often takes considerable time and effort for users to find the program that suits them and to apply smoothly. Furthermore, as information on new programs increases, maintaining the up-to-dateness of program information becomes a challenge. To solve this problem, a system is needed that quickly and appropriately suggests relevant programs based on user attribute information, supports the application process, and dynamically updates information to reflect new developments.

[0061] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0062] In this invention, the server includes means for acquiring attribute information from a user, means for analyzing the attribute information and extracting relevant support programs from the information set, and means for presenting the details and procedures of the extracted programs using generative information processing technology. This enables users to efficiently discover highly relevant programs based on their own attribute information and to quickly carry out application procedures. Similarly, information updates accompanying the addition of new programs can be easily managed.

[0063] A "user" is an individual or organization that receives the system's services and is the entity that utilizes the provided administrative support programs.

[0064] "Attribute information" refers to data about a user's personal information and social background, including age, address, occupation, and family structure.

[0065] "Support systems" refer to public services such as subsidies, grants, and support programs provided by government agencies.

[0066] An "information collection" is a database of support programs, containing detailed information about each program, eligibility requirements, application procedures, and more.

[0067] "Generative information processing technology" is a technology that uses generative AI models to automatically generate relevant information based on input data and provide it to users.

[0068] The term "user interface" refers to the interface through which users input information, view system information, and proceed with procedures.

[0069] Modes for carrying out the invention

[0070] This invention is a support system that helps users appropriately find government support programs and facilitate the application process. A specific embodiment of this system is shown below.

[0071] System Configuration

[0072] This system primarily consists of servers, terminals, and users.

[0073] Device: Users input their attribute information using a device such as a PC or smartphone via a browser or dedicated application. The interface is intuitive, and the input forms are designed using HTML and CSS.

[0074] Server: Data sent from the terminal is received by the server. The server uses web server software (e.g., Apache®, NGINX) to analyze the received information. Programming languages ​​such as Python and Java® are used for analysis, and user information is compared with public system data. A database management system (e.g., MySQL®, PostgreSQL) is used to store detailed information about support systems.

[0075] When information obtained from the user is sent to the server, the server uses a generative AI model to identify relevant support programs. An example of a prompt used here is "I am a 30-year-old single mother living in Tokyo. I am looking for childcare support programs. Please suggest suitable programs." The generative AI model generates a list of programs best suited to the user based on the prompt.

[0076] Providing information to users

[0077] The system information returned from the server is sent to the user's terminal and displayed through a dynamic user interface using HTML and JavaScript (registered trademark). This allows users to easily check an overview of the applicable system, detailed procedures, and required documents. The display is in a card format, designed to allow users to easily select and compare information.

[0078] Application support

[0079] Once the user has decided which program they wish to use, the interface on the device provides links and guides to assist with the application process. To enable online applications, the entered information is transmitted via a server to the appropriate administrative agency.

[0080] This system allows users to quickly and reliably find the most suitable support program for them and apply smoothly.

[0081] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0082] Step 1:

[0083] Users input their personal information through their device. This input form includes information such as name, address, age, occupation, and family structure. The device structures this data in JSON format and sends it to the server via a secure protocol (HTTPS). This prepares the user's individual information, which serves as the basis for the server to perform subsequent processing.

[0084] Step 2:

[0085] The server parses the JSON data received from the terminal. At this stage, it validates whether the received data is in the correct format and verifies that there are no errors in the data. A Python script runs to convert the data into a format compatible with the database, and then stores the data in a MySQL or PostgreSQL database. This ensures that user information is stored systematically, allowing for smoother retrieval later on.

[0086] Step 3:

[0087] The server uses a generative AI model to analyze institutional information in the database. Here, the server queries the AI ​​model with the prompt "I'm a 30-year-old single mother living in Tokyo. I'm looking for childcare support programs. Please suggest suitable programs." Based on the user information, the AI ​​model identifies relevant support programs, ranks them appropriately, and generates a list of programs. This output is determined through the server and forms the basis of the list provided to the user.

[0088] Step 4:

[0089] The server sends the generated list of programs to the user's terminal. The user's terminal displays this program information using HTML and JavaScript, employing a designed user interface. The program information, displayed in card format, includes an overview of each program, application requirements, and procedures, allowing the user to intuitively select and view details. The terminal then uses the displayed information to support the user's decision-making.

[0090] Step 5:

[0091] Once the user selects the appropriate system, the terminal assists with the application process. Specifically, it guides the user through the online application process by providing relevant links and additional information that needs to be entered. Data based on the user's actions is then sent back to the server, which converts it into official application data for the government agency. This ensures that the user's application proceeds smoothly and that they receive appropriate support quickly.

[0092] (Application Example 1)

[0093] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0094] Government support programs are diverse, making it difficult for users to find the most suitable program and complete the application process. Furthermore, existing systems lack specific and timely suggestions based on user attribute information. There is a need to solve these problems and provide efficient and personalized program recommendations and application support.

[0095] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0096] In this invention, the server includes means for acquiring attribute information from a user, means for extracting relevant administrative systems from an information collection based on the attribute information, and means for proposing an outline of the extracted administrative system and application method using a generative information processing device. This enables the user to receive prompt and accurate proposals and application support for administrative support systems.

[0097] A "user" is an individual or organization that searches for and applies for government support programs through this system.

[0098] "Attribute information" refers to personal information of users, as well as related information such as their social background and place of residence.

[0099] "Administrative systems" refer to public services such as support and subsidies provided by the government or local authorities.

[0100] An "information collection" is a database containing detailed information about administrative systems.

[0101] A "generative information processing device" is a device that uses AI technology to automatically suggest information.

[0102] An "operation screen" is an interface that users use to input information or apply for services.

[0103] The system for implementing the present invention mainly consists of three elements: a server, a terminal, and a user.

[0104] Users first use a device to input their personal attribute information. A device refers to an information device capable of input, such as a smartphone or personal computer. This collects basic information necessary to identify the government support programs the user needs.

[0105] The server's role is to extract relevant administrative systems from a database based on the input attribute information. Generative AI models are used for efficient data processing in this process. Servers equipped with NVIDIA GPUs and cloud services such as Microsoft Azure are frequently used for this purpose.

[0106] The extracted administrative system information is regenerated by the server and presented to the user. Here, a generative information processing device is used to automatically generate an overview of the relevant system and application procedures. This process utilizes advanced natural language processing, such as GPT-3 (registered trademark), to provide the information in a user-friendly format.

[0107] Finally, users can easily proceed with applying for administrative services through the user interface. This interface is designed with usability in mind and allows for intuitive operation.

[0108] For example, if a single father in his 30s living in Sapporo City seeks childcare support, he enters information into the terminal, and the server identifies relevant support programs and provides detailed explanations and application procedures for the "Childcare Benefit for Single Fathers." An example of a prompt might be, "What support programs are available to a single father in his 30s living in Sapporo City?"

[0109] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0110] Step 1:

[0111] Users enter personal attribute information using their device. This information includes age, place of residence, occupation, etc. The entered data is temporarily stored on the device and then prepared for transmission to the server.

[0112] Step 2:

[0113] The terminal sends attribute information entered by the user to the server. During this process, the data is securely encrypted and transmitted over the internet. The server decrypts the received data and prepares it for subsequent processing.

[0114] Step 3:

[0115] The server uses the received attribute information to extract relevant administrative systems from the data collection. Specifically, it uses a database search algorithm to identify the appropriate systems. In this process, a generative AI model is used to evaluate the relevance of the extracted systems. As output, a list of related systems is generated.

[0116] Step 4:

[0117] The server uses a generative information processing device to generate an overview of the extracted administrative system and application procedures. This generation process utilizes a model such as GPT-3, creating the necessary information in a user-friendly natural language format. The output includes detailed information about the system and specific application procedures.

[0118] Step 5:

[0119] The server transmits the generated administrative system information to the terminal. The terminal displays the received information on its screen, making it easy for the user to understand. During this process, layout adjustments are made to the user interface.

[0120] Step 6:

[0121] Users select the most suitable administrative system and proceed with the application process through the on-screen interface on their device. This includes preparing necessary documents according to the operation guide and filling out online forms.

[0122] Step 7:

[0123] After a user submits a system application, the terminal collects the results and reports them to the server. The server then uses this feedback to perform data analysis to improve the accuracy of the database and generative models. This will result in higher quality system proposals in the future.

[0124] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0125] The system of the present invention automatically extracts relevant public systems based on information entered by the user, and further improves the quality of the suggested information by combining it with an emotion engine that recognizes the user's emotions. The embodiments thereof are described in detail below.

[0126] The system operates primarily with a server, terminals, and users. First, users input their information via a terminal, including age, place of residence, occupation, and income. The terminal securely transmits this information to the server.

[0127] The server analyzes the received user information and searches the database for relevant support and subsidy programs. Generative artificial intelligence is used in this process to suggest the most suitable program for the user. The suggestions include program outlines, application procedures, and required documents.

[0128] Furthermore, a user emotion engine operates on the device to recognize the user's current emotional state. The device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone, and sends this emotional data to the server.

[0129] The server uses sentiment data to dynamically adjust the format and tone of the information it presents according to the user's emotions. For example, if the user is confused, the system will suggest more detailed explanations or additional support options. It also collects user feedback and sentiment data to improve the accuracy of the information provided.

[0130] As a concrete example, if an elderly person living in a rural area wants to receive care support, they enter their information into a terminal. Based on the received data, the server identifies and suggests the "Elderly Care Service Support System." If the emotion engine recognizes the user's anxiety, the server provides additional details and external consultation resources to support the application process smoothly.

[0131] Thus, the present invention aims to improve the convenience of using administrative systems and the user experience by combining them with an emotion engine.

[0132] The following describes the processing flow.

[0133] Step 1:

[0134] The user uses their device to enter basic personal information such as age, place of residence, occupation, and income. The device then quickly transmits this information to the server.

[0135] Step 2:

[0136] The server receives user information and uses generative artificial intelligence to extract relevant support and subsidy programs from the database. During the extraction process, the system calculates and determines the degree of compatibility between the user's attributes and the program.

[0137] Step 3:

[0138] The server generates detailed information about the extracted programs—such as the program name, eligibility requirements, application method, and required documents—and compiles it into a proposal. This information is then sent to the terminal.

[0139] Step 4:

[0140] The device uses its built-in emotion engine to analyze the user's emotional state. Using the camera and microphone, it analyzes the user's facial expressions and tone of voice to identify their current emotion (e.g., confusion, relief, excitement).

[0141] Step 5:

[0142] The device sends the emotional data it obtains to the server. The server uses this data to adjust how information is presented to match the user's emotions. For example, if the user appears anxious, it will display more polite and detailed information.

[0143] Step 6:

[0144] The terminal presents the user with a customized proposal. The user can review the details of the program on the screen and proceed with the application process if necessary. Links to the application form and support information are also displayed simultaneously.

[0145] Step 7:

[0146] Once the user selects a program and decides to proceed with the application, the terminal displays a guide for the online application process. The user can then complete the application without any problems.

[0147] Step 8:

[0148] The server collects user feedback and sentiment data, which is then used to improve the accuracy of future suggestions. This feedback contributes to system improvement.

[0149] In this way, the system provides users with the most suitable administrative support information and services tailored to their emotions through a series of processes.

[0150] (Example 2)

[0151] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0152] In modern society, while various public support systems exist, there is a challenge in providing them appropriately to individual users. Furthermore, providing information without considering the user's feelings can lead to confusion and dissatisfaction. To address these challenges, it is necessary to effectively extract relevant system information for users and optimize the presentation of that information based on their emotions.

[0153] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0154] In this invention, the server includes means for acquiring personal information from a user, means for encrypting and transmitting the information to the server, means for extracting relevant support programs from a database based on the information, means for proposing details and usage procedures for the extracted programs using generative artificial intelligence, means for acquiring emotional data using a terminal and transmitting the data to the server, means for dynamically adjusting the content of the information presented based on the emotional data, and means for providing an interface to assist in applying for the proposed programs. This makes it possible to provide program information optimized for the user and improve the user experience.

[0155] A "user" refers to a person who operates the system and inputs their own information.

[0156] A "server" refers to a computer system that processes information sent by users and extracts relevant data from a database.

[0157] A "terminal" refers to a hardware device used by users to input information or acquire emotional data.

[0158] "Personal information" refers to information used to identify a specific user, such as their age, place of residence, occupation, and income.

[0159] "Encryption" refers to the technology of transforming data to protect the content of information being transmitted from third parties.

[0160] "Support systems" refer to public subsidies and support provided based on the specific conditions of the user.

[0161] "Generative artificial intelligence" refers to algorithms and models that have the ability to generate optimal information based on input data.

[0162] "Emotional data" refers to data that expresses the emotional state inferred from a user's facial expressions, voice, etc., as numerical values ​​or categories.

[0163] An "interface" refers to the screen or means of operation that a user uses to interact with a system and exchange information.

[0164] This invention relates to an information processing system for effectively providing public support systems to users. The system consists of the cooperation of three parties: a server, a terminal, and a user.

[0165] Users enter personal information into the system via their device. This information includes data necessary for determining eligibility for specific support programs, such as age, place of residence, occupation, and income. The device encrypts this information and securely transmits it to the server over the network.

[0166] The server searches a database based on the received information and uses generative artificial intelligence to extract relevant support programs. For example, it uses SQL queries within the database to search for and extract program information such as "elderly care support programs." The generative AI model is expected to be something like OpenAI's ChatGPT®, which generates the most relevant program details based on the input information and provides them to the user. An example of a prompt might be, "What programs are available for elderly people living in rural areas who want to receive care support?"

[0167] Furthermore, the device is equipped with emotion recognition capabilities, which acquire emotional data from the user's facial expressions and audio data of their speech. This emotional data is sent to a server, which then provides information tailored to the user's emotions. For example, if an emotion of confusion is detected, the server can adjust how the information is presented and add more detailed explanations.

[0168] The terminal provides information via an interface to assist users in applying for support programs. This interface displays instructions on how to apply for the program and the necessary documents.

[0169] This invention integrates emotion recognition technology and generative AI models to provide users with optimal support system information and improve the user experience.

[0170] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0171] Step 1:

[0172] The user enters personal information (age, place of residence, occupation, income, etc.) through the terminal. The terminal receives this information and encrypts the input. The data processing performed here is the encryption of user input information using an encryption algorithm. The output is encrypted user information.

[0173] Step 2:

[0174] The terminal sends encrypted user information to the server. The server receives this information, decrypts it, and retrieves the original data. The server then performs data processing to convert the information into an analyzable format, obtaining analyzable user information as output.

[0175] Step 3:

[0176] The server searches the database based on the analyzed user information to extract relevant support programs. Using a generative AI model, it identifies the optimal program based on the input information and generates details about that program. This process involves data calculations using SQL queries to search the database, and the generative AI model generates an overview of the program and application procedures. The output is information about the most suitable support program for the user.

[0177] Step 4:

[0178] The device uses its built-in camera and microphone to capture the user's facial expressions and voice, and generates emotional data using an emotion recognition algorithm. Data processing based on this input involves analyzing the user's facial expression and voice data to output their emotional state as a numerical value or category.

[0179] Step 5:

[0180] The device sends emotional data to the server. The server uses this emotional data to dynamically adjust the content and tone of the information presented to the user. Specifically, it uses a generative AI model to generate and output explanatory text with the optimal tone corresponding to the user's emotions. This allows the user to be provided with more detailed instructions and support options.

[0181] Step 6:

[0182] The terminal then presents the user with the finalized information. This is done through an interface, and the output is designed to allow users to easily understand the details of the system and how to apply, and to carry out the procedures.

[0183] This series of processing steps provides users with information on public support programs that is optimized for them, and presents the information in a way that is appropriate to the user's emotions, resulting in a better user experience.

[0184] (Application Example 2)

[0185] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0186] In modern society, while a variety of public systems exist, users are unable to fully utilize them due to their complexity and the difficulty in obtaining information. Furthermore, the lack of mechanisms to provide optimal information tailored to users' needs is a contributing factor to the limited effectiveness of these systems. Even in the area of ​​housing, there is a lack of public support for problems that arise unexpectedly in daily life. This invention aims to solve these problems and promote the effective use of public systems.

[0187] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0188] In this invention, the server includes means for acquiring information from a user, means for extracting relevant public systems from a database based on said information, means for proposing details and usage procedures of the extracted systems using generative artificial intelligence, means for providing an interface to assist in applying for the proposed systems, and means for recognizing the user's emotions and adjusting the formation and tone of the information presented. This makes it possible to propose the most suitable public systems to the user based on their emotions, and to facilitate the understanding of the information and the use of the systems.

[0189] "Means of acquiring information" refers to devices and methods for collecting necessary information from users, which accept user input and securely transmit it to a server, thereby enabling database searches.

[0190] "Methods for extracting from a database" refers to the processing procedures for searching for relevant public system information within a database based on information collected from users, and then making appropriate suggestions.

[0191] "Methods proposed using generative artificial intelligence" refers to technologies that utilize generative AI technology to automatically generate explanations of systems and usage procedures in order to present system information extracted from a database to users in an easy-to-understand manner.

[0192] "Means of providing an interface" refers to a system that provides connection methods such as screens or APIs that allow users to smoothly perform the necessary procedures for the proposed system.

[0193] "Means for recognizing and adjusting emotions" refers to functions that analyze the user's emotional state and dynamically adjust the way information is presented and its tone accordingly. This is a crucial element for improving the user experience.

[0194] The system for implementing the present invention consists of three components: a user, a terminal, and a server.

[0195] First, users enter information such as age, place of residence, occupation, and income via their device. This information is securely transmitted to a server, which then uses the user's information to extract relevant public systems from its database. A database management system and search algorithms are used for this extraction.

[0196] Next, the server uses a generative AI model to propose details and usage procedures for the extracted programs. This generative AI model is trained to provide information in a user-friendly format using natural language processing technology. Furthermore, the terminal provides an interface to facilitate the application process for the programs. This interface is built using a web browser or mobile application.

[0197] Furthermore, the device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone, recognizing the user's emotions. Based on this, the server dynamically adjusts the information format and tone to provide more personalized information. Deep learning frameworks such as TENSORFLOW® and PyTorch can be used for emotion recognition.

[0198] For example, if a household robot detects that one of the residents is worried about life after retirement, the robot will suggest pensions and senior activity support programs and explain the specific application process in an easy-to-understand manner. In this case, an example of a prompt to be entered into the generating AI model would be: "Based on the following information, please create a proposal for the most suitable public program: Age - 65, Income - Retired, User's feelings - Anxious."

[0199] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0200] Step 1:

[0201] The terminal receives basic information from the user, such as age, place of residence, occupation, and income. This input information is organized in digital format and prepared to be sent to the server.

[0202] Step 2:

[0203] The server receives user information transmitted from the terminal. The server analyzes the received data and, in this analysis, generates a key to search for relevant public systems in the database. The output is a list of the relevant system information.

[0204] Step 3:

[0205] The server uses a database to generate keys and performs searches to extract relevant public institutions. The extracted institution information is then formatted for transmission to a generative AI model. This is then sent as output to the next process.

[0206] Step 4:

[0207] The server uses a generative AI model to generate usage procedures and detailed information about the system based on extracted system information. The information generated is in natural language format and is sent back to the terminal as output.

[0208] Step 5:

[0209] The terminal receives the generated information that has been sent back and builds an interface to display suggestions to the user. Here, the UI design and wording are adjusted to make the information easy for the user to understand.

[0210] Step 6:

[0211] The device uses its built-in camera and microphone to collect the user's facial expressions and voice as input, and performs emotion analysis. The analysis results are then sent to a server as output.

[0212] Step 7:

[0213] The server adjusts the information's structure and tone based on the received emotional data. For example, if the user is feeling anxious, it prepares additional information to provide more detailed support. This adjusted information becomes the final output and is then resent to the terminal.

[0214] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0215] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0216] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0217] [Second Embodiment]

[0218] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0219] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0220] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0221] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0222] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0223] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0224] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0225] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0226] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0227] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0228] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0229] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0230] The system of the present invention assists users in easily finding and applying for appropriate government support and subsidy programs. Its embodiments are described in detail below.

[0231] The system operates primarily with a server, terminals, and users. First, users input their information via a terminal. This includes basic personal information, background, and social attributes. The terminal then quickly transmits the input information to the server.

[0232] The server analyzes the received information and extracts suitable systems from the database for the user. An automated system extraction method is used to compare the collected information with existing system data. Generative artificial intelligence is utilized in this process to identify highly relevant systems.

[0233] The extracted programs are proposed to the user by the server. The server generates detailed information such as an overview of the program, application procedures, and required documents, and sends it to the terminal. Users can easily decide which program to use by reviewing the information presented on the terminal. Furthermore, if the user wishes to apply for a program, the application process is supported through the interface on the terminal. Links and guides are provided to simplify the process.

[0234] As a concrete example, if a single mother in her 30s living in Tokyo wants to receive childcare support, she would first enter her information into a terminal. The server would process the received data and, as a result, present the relevant childcare support programs. For example, the "Childcare Allowance for Single Mothers" might be identified, and the user would be provided with details, application forms, and guidance on the procedure. Following the instructions, the user could then efficiently apply online.

[0235] This system can also improve the accuracy of information based on user feedback. Furthermore, when new regulations are added, the database is automatically updated to maintain the provision of the latest information. This ensures that users are always provided with the most up-to-date and optimal regulations.

[0236] The following describes the processing flow.

[0237] Step 1:

[0238] Users enter personal information such as age, place of residence, occupation, and income using their devices. The entered information is collected through user information acquisition methods.

[0239] Step 2:

[0240] The device sends the collected user information to the server. The information is transmitted securely and appropriately protected through a secure communication protocol.

[0241] Step 3:

[0242] The server analyzes the received user information. The information is categorized and compared with administrative system information stored in the system's database.

[0243] Step 4:

[0244] The server uses generative artificial intelligence to automatically extract relevant support and subsidy programs based on user information. The system then prioritizes selecting programs with a high degree of relevance.

[0245] Step 5:

[0246] The server generates detailed information and usage procedures for the extracted systems, and describes them in natural language through a proposal generation mechanism. This results in information in a format that is easy for users to understand.

[0247] Step 6:

[0248] The server sends the generated proposal to the terminal. The information provided to the user includes the purpose of the program, application procedures, and required documents.

[0249] Step 7:

[0250] Users can view information about the programs presented to them via their devices. They can select programs that interest them and view more detailed information.

[0251] Step 8:

[0252] The device provides an interface to support the user in the application process. Application links and forms are displayed, allowing the user to proceed with the process online.

[0253] Step 9:

[0254] The server receives user feedback and uses it to improve the accuracy of future policy proposals. The feedback is anonymized and used to update the database, etc.

[0255] (Example 1)

[0256] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0257] Government support programs are diverse, and it often takes considerable time and effort for users to find the program that suits them and to apply smoothly. Furthermore, as information on new programs increases, maintaining the up-to-dateness of program information becomes a challenge. To solve this problem, a system is needed that quickly and appropriately suggests relevant programs based on user attribute information, supports the application process, and dynamically updates information to reflect new developments.

[0258] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0259] In this invention, the server includes means for acquiring attribute information from a user, means for analyzing the attribute information and extracting relevant support programs from the information set, and means for presenting the details and procedures of the extracted programs using generative information processing technology. This enables users to efficiently discover highly relevant programs based on their own attribute information and to quickly carry out application procedures. Similarly, information updates accompanying the addition of new programs can be easily managed.

[0260] A "user" is an individual or organization that receives the system's services and is the entity that utilizes the provided administrative support programs.

[0261] "Attribute information" refers to data about a user's personal information and social background, including age, address, occupation, and family structure.

[0262] "Support systems" refer to public services such as subsidies, grants, and support programs provided by government agencies.

[0263] An "information collection" is a database of support programs, containing detailed information about each program, eligibility requirements, application procedures, and more.

[0264] "Generative information processing technology" is a technology that uses generative AI models to automatically generate relevant information based on input data and provide it to users.

[0265] The term "user interface" refers to the interface through which users input information, view system information, and proceed with procedures.

[0266] Modes for carrying out the invention

[0267] This invention is a support system that helps users appropriately find government support programs and facilitate the application process. A specific embodiment of this system is shown below.

[0268] System Configuration

[0269] This system primarily consists of servers, terminals, and users.

[0270] Device: Users input their attribute information using a device such as a PC or smartphone via a browser or dedicated application. The interface is intuitive, and the input forms are designed using HTML and CSS.

[0271] Server: Data sent from the terminal is received by the server. The server uses web server software (e.g., Apache, NGINX) to analyze the received information. Programming languages ​​such as Python and Java are used for analysis, and user information is compared with public system data. A database management system (e.g., MySQL, PostgreSQL) is used to store detailed information about support systems.

[0272] When information obtained from the user is sent to the server, the server uses a generative AI model to identify relevant support programs. An example of a prompt used here is "I am a 30-year-old single mother living in Tokyo. I am looking for childcare support programs. Please suggest suitable programs." The generative AI model generates a list of programs best suited to the user based on the prompt.

[0273] Providing information to users

[0274] The system information returned from the server is sent to the user's terminal and displayed through a dynamic user interface using HTML and JavaScript. This allows users to easily check an overview of the applicable system, detailed procedures, and required documents. The information is displayed in a card format, designed to facilitate easy selection and comparison by the user.

[0275] Application support

[0276] Once the user has decided which program they wish to use, the interface on the device provides links and guides to assist with the application process. To enable online applications, the entered information is transmitted via a server to the appropriate administrative agency.

[0277] This system allows users to quickly and reliably find the most suitable support program for them and apply smoothly.

[0278] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0279] Step 1:

[0280] The user inputs their own attribute information through the terminal. This input form includes name, address, age, occupation, family composition, etc. The terminal structures these data in JSON format and sends them to the server via a secure protocol (HTTPS). As a result, the user's personal information is prepared and becomes the basic data for the server to perform subsequent processing.

[0281] Step 2:

[0282] The server analyzes the JSON-formatted data received from the terminal. At this stage, it validates whether the received data is in the appropriate format and confirms that there are no deficiencies in the data. After a Python script operates to convert the data into a format compatible with the database, the data is stored in a MySQL or PostgreSQL database. As a result, the user information is stored organizationally, enabling smooth later verification.

[0283] Step 3:

[0284] The server uses a generative AI model to analyze the institutional information in the database. Here, the server queries the AI model using the prompt sentence "A 30-year-old single mother living in Tokyo. Looking for childcare support systems. Please present suitable systems." The AI model identifies relevant support systems based on the user information, performs appropriate ranking, and then generates a list of systems. This output is determined through the server and serves as the basis for the list provided to the user.

[0285] Step 4:

[0286] The server sends the generated institution list to the terminal. The user's terminal uses the designed user interface to display this institution information with HTML and JavaScript. The institution information displayed in card form includes the overview of each institution, application conditions, and procedures, and the user can intuitively select and view details. The terminal supports the user's decision-making based on the displayed information.

[0287] Step 5:

[0288] When the user selects a suitable institution, the terminal supports the application procedure. Specifically, it guides relevant links and information that requires additional input, and navigates the online application process. The data according to the user's operation is sent to the server again, and the server is converted into formal application data for the administrative agency. This enables the user's application to proceed smoothly and receive appropriate support promptly.

[0289] (Application Example 1)

[0290] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0291] Administrative support systems are diverse, and it is difficult for users to find the most suitable system for themselves and conduct the application procedures. Also, existing systems lack specific and prompt proposals based on the user's attribute information. There is a need to solve these problems and provide efficient and individualized institution proposals and application support.

[0292] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0293] In this invention, the server includes means for acquiring attribute information from a user, means for extracting relevant administrative systems from an information collection based on the attribute information, and means for proposing an outline of the extracted administrative system and application method using a generative information processing device. This enables the user to receive prompt and accurate proposals and application support for administrative support systems.

[0294] A "user" is an individual or organization that searches for and applies for government support programs through this system.

[0295] "Attribute information" refers to personal information of users, as well as related information such as their social background and place of residence.

[0296] "Administrative systems" refer to public services such as support and subsidies provided by the government or local authorities.

[0297] An "information collection" is a database containing detailed information about administrative systems.

[0298] A "generative information processing device" is a device that uses AI technology to automatically suggest information.

[0299] An "operation screen" is an interface that users use to input information or apply for services.

[0300] The system for implementing the present invention mainly consists of three elements: a server, a terminal, and a user.

[0301] Users first use a device to input their personal attribute information. A device refers to an information device capable of input, such as a smartphone or personal computer. This collects basic information necessary to identify the government support programs the user needs.

[0302] The server plays a role in extracting relevant administrative systems from information collections based on the input attribute information. For this, a generative AI model is utilized to perform efficient data processing. In particular, servers equipped with NVIDIA GPUs or cloud services such as Microsoft Azure are often used for this.

[0303] The information on the extracted administrative systems is generated again by the server and presented to the user. Here, a generative information processing device is used, and the outlines of relevant systems and application methods are automatically generated. In this process, advanced natural language processing such as GPT-3 is performed, and information is provided in a form that is easy for the user to understand.

[0304] Finally, through the operation screen, the user can easily proceed with the application for the administrative system. This interface is designed considering user usability and enables intuitive operation.

[0305] For example, when a single father in his 30s living in Sapporo seeks childcare support and inputs information into the terminal, the server identifies the relevant support system and provides a detailed explanation and application procedures for the "Childcare Allowance for Single Fathers". An example of a prompt sentence could be "What support systems are available for single fathers in their 30s living in Sapporo?"

[0306] The flow of the specific process in Application Example 1 will be described using Figure 12.

[0307] Step 1:

[0308] The user uses the terminal to input personal attribute information. This input includes age, place of residence, occupation, etc. The input data is temporarily stored in the terminal, preparing for transmission to the server.

[0309] Step 2:

[0310] The terminal sends attribute information entered by the user to the server. During this process, the data is securely encrypted and transmitted over the internet. The server decrypts the received data and prepares it for subsequent processing.

[0311] Step 3:

[0312] The server uses the received attribute information to extract relevant administrative systems from the data collection. Specifically, it uses a database search algorithm to identify the appropriate systems. In this process, a generative AI model is used to evaluate the relevance of the extracted systems. As output, a list of related systems is generated.

[0313] Step 4:

[0314] The server uses a generative information processing device to generate an overview of the extracted administrative system and application procedures. This generation process utilizes a model such as GPT-3, creating the necessary information in a user-friendly natural language format. The output includes detailed information about the system and specific application procedures.

[0315] Step 5:

[0316] The server transmits the generated administrative system information to the terminal. The terminal displays the received information on its screen, making it easy for the user to understand. During this process, layout adjustments are made to the user interface.

[0317] Step 6:

[0318] Users select the most suitable administrative system and proceed with the application process through the on-screen interface on their device. This includes preparing necessary documents according to the operation guide and filling out online forms.

[0319] Step 7:

[0320] After a user submits a system application, the terminal collects the results and reports them to the server. The server then uses this feedback to perform data analysis to improve the accuracy of the database and generative models. This will result in higher quality system proposals in the future.

[0321] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0322] The system of the present invention automatically extracts relevant public systems based on information entered by the user, and further improves the quality of the suggested information by combining it with an emotion engine that recognizes the user's emotions. The embodiments thereof are described in detail below.

[0323] The system operates primarily with a server, terminals, and users. First, users input their information via a terminal, including age, place of residence, occupation, and income. The terminal securely transmits this information to the server.

[0324] The server analyzes the received user information and searches the database for relevant support and subsidy programs. Generative artificial intelligence is used in this process to suggest the most suitable program for the user. The suggestions include program outlines, application procedures, and required documents.

[0325] Furthermore, a user emotion engine operates on the device to recognize the user's current emotional state. The device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone, and sends this emotional data to the server.

[0326] The server uses sentiment data to dynamically adjust the format and tone of the information it presents according to the user's emotions. For example, if the user is confused, the system will suggest more detailed explanations or additional support options. It also collects user feedback and sentiment data to improve the accuracy of the information provided.

[0327] As a concrete example, if an elderly person living in a rural area wants to receive care support, they enter their information into a terminal. Based on the received data, the server identifies and suggests the "Elderly Care Service Support System." If the emotion engine recognizes the user's anxiety, the server provides additional details and external consultation resources to support the application process smoothly.

[0328] Thus, the present invention aims to improve the convenience of using administrative systems and the user experience by combining them with an emotion engine.

[0329] The following describes the processing flow.

[0330] Step 1:

[0331] The user uses their device to enter basic personal information such as age, place of residence, occupation, and income. The device then quickly transmits this information to the server.

[0332] Step 2:

[0333] The server receives user information and uses generative artificial intelligence to extract relevant support and subsidy programs from the database. During the extraction process, the system calculates and determines the degree of compatibility between the user's attributes and the program.

[0334] Step 3:

[0335] The server generates detailed information about the extracted programs—such as the program name, eligibility requirements, application method, and required documents—and compiles it into a proposal. This information is then sent to the terminal.

[0336] Step 4:

[0337] The device uses its built-in emotion engine to analyze the user's emotional state. Using the camera and microphone, it analyzes the user's facial expressions and tone of voice to identify their current emotion (e.g., confusion, relief, excitement).

[0338] Step 5:

[0339] The device sends the emotional data it obtains to the server. The server uses this data to adjust how information is presented to match the user's emotions. For example, if the user appears anxious, it will display more polite and detailed information.

[0340] Step 6:

[0341] The terminal presents the user with a customized proposal. The user can review the details of the program on the screen and proceed with the application process if necessary. Links to the application form and support information are also displayed simultaneously.

[0342] Step 7:

[0343] Once the user selects a program and decides to proceed with the application, the terminal displays a guide for the online application process. The user can then complete the application without any problems.

[0344] Step 8:

[0345] The server collects user feedback and sentiment data, which is then used to improve the accuracy of future suggestions. This feedback contributes to system improvement.

[0346] In this way, the system provides users with the most suitable administrative support information and services tailored to their emotions through a series of processes.

[0347] (Example 2)

[0348] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0349] In modern society, while various public support systems exist, there is a challenge in providing them appropriately to individual users. Furthermore, providing information without considering the user's feelings can lead to confusion and dissatisfaction. To address these challenges, it is necessary to effectively extract relevant system information for users and optimize the presentation of that information based on their emotions.

[0350] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0351] In this invention, the server includes means for acquiring personal information from a user, means for encrypting and transmitting the information to the server, means for extracting relevant support programs from a database based on the information, means for proposing details and usage procedures for the extracted programs using generative artificial intelligence, means for acquiring emotional data using a terminal and transmitting the data to the server, means for dynamically adjusting the content of the information presented based on the emotional data, and means for providing an interface to assist in applying for the proposed programs. This makes it possible to provide program information optimized for the user and improve the user experience.

[0352] A "user" refers to a person who operates the system and inputs their own information.

[0353] A "server" refers to a computer system that processes information sent by users and extracts relevant data from a database.

[0354] A "terminal" refers to a hardware device used by users to input information or acquire emotional data.

[0355] "Personal information" refers to information used to identify a specific user, such as their age, place of residence, occupation, and income.

[0356] "Encryption" refers to the technology of transforming data to protect the content of information being transmitted from third parties.

[0357] "Support systems" refer to public subsidies and support provided based on the specific conditions of the user.

[0358] "Generative artificial intelligence" refers to algorithms and models that have the ability to generate optimal information based on input data.

[0359] "Emotional data" refers to data that expresses the emotional state inferred from a user's facial expressions, voice, etc., as numerical values ​​or categories.

[0360] An "interface" refers to the screen or means of operation that a user uses to interact with a system and exchange information.

[0361] This invention relates to an information processing system for effectively providing public support systems to users. The system consists of the cooperation of three parties: a server, a terminal, and a user.

[0362] Users enter personal information into the system via their device. This information includes data necessary for determining eligibility for specific support programs, such as age, place of residence, occupation, and income. The device encrypts this information and securely transmits it to the server over the network.

[0363] The server searches a database based on the received information and uses generative artificial intelligence to extract relevant support programs. For example, it uses SQL queries within the database to search for and extract information on programs such as "elderly care support programs." The generative AI model is expected to be something like OpenAI's ChatGPT, which generates detailed information on the most suitable programs based on the input and provides it to the user. An example of a prompt might be, "What programs are available for elderly people living in rural areas who want to receive care support?"

[0364] Furthermore, the device is equipped with emotion recognition capabilities, which acquire emotional data from the user's facial expressions and audio data of their speech. This emotional data is sent to a server, which then provides information tailored to the user's emotions. For example, if an emotion of confusion is detected, the server can adjust how the information is presented and add more detailed explanations.

[0365] The terminal provides information via an interface to assist users in applying for support programs. This interface displays instructions on how to apply for the program and the necessary documents.

[0366] This invention integrates emotion recognition technology and generative AI models to provide users with optimal support system information and improve the user experience.

[0367] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0368] Step 1:

[0369] The user enters personal information (age, place of residence, occupation, income, etc.) through the terminal. The terminal receives this information and encrypts the input. The data processing performed here is the encryption of user input information using an encryption algorithm. The output is encrypted user information.

[0370] Step 2:

[0371] The terminal sends encrypted user information to the server. The server receives this information, decrypts it, and retrieves the original data. The server then performs data processing to convert the information into an analyzable format, obtaining analyzable user information as output.

[0372] Step 3:

[0373] The server searches the database based on the analyzed user information to extract relevant support programs. Using a generative AI model, it identifies the optimal program based on the input information and generates details about that program. This process involves data calculations using SQL queries to search the database, and the generative AI model generates an overview of the program and application procedures. The output is information about the most suitable support program for the user.

[0374] Step 4:

[0375] The device uses its built-in camera and microphone to capture the user's facial expressions and voice, and generates emotional data using an emotion recognition algorithm. Data processing based on this input involves analyzing the user's facial expression and voice data to output their emotional state as a numerical value or category.

[0376] Step 5:

[0377] The device sends emotional data to the server. The server uses this emotional data to dynamically adjust the content and tone of the information presented to the user. Specifically, it uses a generative AI model to generate and output explanatory text with the optimal tone corresponding to the user's emotions. This allows the user to be provided with more detailed instructions and support options.

[0378] Step 6:

[0379] The terminal then presents the user with the finalized information. This is done through an interface, and the output is designed to allow users to easily understand the details of the system and how to apply, and to carry out the procedures.

[0380] This series of processing steps provides users with information on public support programs that is optimized for them, and presents the information in a way that is appropriate to the user's emotions, resulting in a better user experience.

[0381] (Application Example 2)

[0382] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0383] In modern society, while a variety of public systems exist, users are unable to fully utilize them due to their complexity and the difficulty in obtaining information. Furthermore, the lack of mechanisms to provide optimal information tailored to users' needs is a contributing factor to the limited effectiveness of these systems. Even in the area of ​​housing, there is a lack of public support for problems that arise unexpectedly in daily life. This invention aims to solve these problems and promote the effective use of public systems.

[0384] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0385] In this invention, the server includes means for acquiring information from a user, means for extracting relevant public systems from a database based on said information, means for proposing details and usage procedures of the extracted systems using generative artificial intelligence, means for providing an interface to assist in applying for the proposed systems, and means for recognizing the user's emotions and adjusting the formation and tone of the information presented. This makes it possible to propose the most suitable public systems to the user based on their emotions, and to facilitate the understanding of the information and the use of the systems.

[0386] "Means of acquiring information" refers to devices and methods for collecting necessary information from users, which accept user input and securely transmit it to a server, thereby enabling database searches.

[0387] "Methods for extracting from a database" refers to the processing procedures for searching for relevant public system information within a database based on information collected from users, and then making appropriate suggestions.

[0388] "Methods proposed using generative artificial intelligence" refers to technologies that utilize generative AI technology to automatically generate explanations of systems and usage procedures in order to present system information extracted from a database to users in an easy-to-understand manner.

[0389] "Means of providing an interface" refers to a system that provides connection methods such as screens or APIs that allow users to smoothly perform the necessary procedures for the proposed system.

[0390] "Means for recognizing and adjusting emotions" refers to functions that analyze the user's emotional state and dynamically adjust the way information is presented and its tone accordingly. This is a crucial element for improving the user experience.

[0391] The system for implementing the present invention consists of three components: a user, a terminal, and a server.

[0392] First, users enter information such as age, place of residence, occupation, and income via their device. This information is securely transmitted to a server, which then uses the user's information to extract relevant public systems from its database. A database management system and search algorithms are used for this extraction.

[0393] Next, the server uses a generative AI model to propose details and usage procedures for the extracted programs. This generative AI model is trained to provide information in a user-friendly format using natural language processing technology. Furthermore, the terminal provides an interface to facilitate the application process for the programs. This interface is built using a web browser or mobile application.

[0394] Furthermore, the device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone, recognizing the user's emotions. Based on this, the server dynamically adjusts the information format and tone to provide more personalized information. Deep learning frameworks such as TensorFlow and PyTorch can be used for emotion recognition.

[0395] For example, if a household robot detects that one of the residents is worried about life after retirement, the robot will suggest pensions and senior activity support programs and explain the specific application process in an easy-to-understand manner. In this case, an example of a prompt to be entered into the generating AI model would be: "Based on the following information, please create a proposal for the most suitable public program: Age - 65, Income - Retired, User's feelings - Anxious."

[0396] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0397] Step 1:

[0398] The terminal receives basic information from the user, such as age, place of residence, occupation, and income. This input information is organized in digital format and prepared to be sent to the server.

[0399] Step 2:

[0400] The server receives user information transmitted from the terminal. The server analyzes the received data and, in this analysis, generates a key to search for relevant public systems in the database. The output is a list of the relevant system information.

[0401] Step 3:

[0402] The server uses a database to generate keys and performs searches to extract relevant public institutions. The extracted institution information is then formatted for transmission to a generative AI model. This is then sent as output to the next process.

[0403] Step 4:

[0404] The server uses a generative AI model to generate usage procedures and detailed information about the system based on extracted system information. The information generated is in natural language format and is sent back to the terminal as output.

[0405] Step 5:

[0406] The terminal receives the generated information that has been sent back and builds an interface to display suggestions to the user. Here, the UI design and wording are adjusted to make the information easy for the user to understand.

[0407] Step 6:

[0408] The device uses its built-in camera and microphone to collect the user's facial expressions and voice as input, and performs emotion analysis. The analysis results are then sent to a server as output.

[0409] Step 7:

[0410] The server adjusts the information's structure and tone based on the received emotional data. For example, if the user is feeling anxious, it prepares additional information to provide more detailed support. This adjusted information becomes the final output and is then resent to the terminal.

[0411] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0412] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0413] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0414] [Third Embodiment]

[0415] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0416] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0417] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0418] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0419] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0420] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0421] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0422] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0423] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0424] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0425] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0426] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0427] The system of the present invention assists users in easily finding and applying for appropriate government support and subsidy programs. Its embodiments are described in detail below.

[0428] The system operates primarily with a server, terminals, and users. First, users input their information via a terminal. This includes basic personal information, background, and social attributes. The terminal then quickly transmits the input information to the server.

[0429] The server analyzes the received information and extracts suitable systems from the database for the user. An automated system extraction method is used to compare the collected information with existing system data. Generative artificial intelligence is utilized in this process to identify highly relevant systems.

[0430] The extracted programs are proposed to the user by the server. The server generates detailed information such as an overview of the program, application procedures, and required documents, and sends it to the terminal. Users can easily decide which program to use by reviewing the information presented on the terminal. Furthermore, if the user wishes to apply for a program, the application process is supported through the interface on the terminal. Links and guides are provided to simplify the process.

[0431] As a concrete example, if a single mother in her 30s living in Tokyo wants to receive childcare support, she would first enter her information into a terminal. The server would process the received data and, as a result, present the relevant childcare support programs. For example, the "Childcare Allowance for Single Mothers" might be identified, and the user would be provided with details, application forms, and guidance on the procedure. Following the instructions, the user could then efficiently apply online.

[0432] This system can also improve the accuracy of information based on user feedback. Furthermore, when new regulations are added, the database is automatically updated to maintain the provision of the latest information. This ensures that users are always provided with the most up-to-date and optimal regulations.

[0433] The following describes the processing flow.

[0434] Step 1:

[0435] Users enter personal information such as age, place of residence, occupation, and income using their devices. The entered information is collected through user information acquisition methods.

[0436] Step 2:

[0437] The device sends the collected user information to the server. The information is transmitted securely and appropriately protected through a secure communication protocol.

[0438] Step 3:

[0439] The server analyzes the received user information. The information is categorized and compared with administrative system information stored in the system's database.

[0440] Step 4:

[0441] The server uses generative artificial intelligence to automatically extract relevant support and subsidy programs based on user information. The system then prioritizes selecting programs with a high degree of relevance.

[0442] Step 5:

[0443] The server generates detailed information and usage procedures for the extracted systems, and describes them in natural language through a proposal generation mechanism. This results in information in a format that is easy for users to understand.

[0444] Step 6:

[0445] The server sends the generated proposal to the terminal. The information provided to the user includes the purpose of the program, application procedures, and required documents.

[0446] Step 7:

[0447] Users can view information about the programs presented to them via their devices. They can select programs that interest them and view more detailed information.

[0448] Step 8:

[0449] The device provides an interface to support the user in the application process. Application links and forms are displayed, allowing the user to proceed with the process online.

[0450] Step 9:

[0451] The server receives user feedback and uses it to improve the accuracy of future policy proposals. The feedback is anonymized and used to update the database, etc.

[0452] (Example 1)

[0453] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0454] Government support programs are diverse, and it often takes considerable time and effort for users to find the program that suits them and to apply smoothly. Furthermore, as information on new programs increases, maintaining the up-to-dateness of program information becomes a challenge. To solve this problem, a system is needed that quickly and appropriately suggests relevant programs based on user attribute information, supports the application process, and dynamically updates information to reflect new developments.

[0455] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0456] In this invention, the server includes means for acquiring attribute information from a user, means for analyzing the attribute information and extracting relevant support programs from the information set, and means for presenting the details and procedures of the extracted programs using generative information processing technology. This enables users to efficiently discover highly relevant programs based on their own attribute information and to quickly carry out application procedures. Similarly, information updates accompanying the addition of new programs can be easily managed.

[0457] A "user" is an individual or organization that receives the system's services and is the entity that utilizes the provided administrative support programs.

[0458] "Attribute information" refers to data about a user's personal information and social background, including age, address, occupation, and family structure.

[0459] "Support systems" refer to public services such as subsidies, grants, and support programs provided by government agencies.

[0460] An "information collection" is a database of support programs, containing detailed information about each program, eligibility requirements, application procedures, and more.

[0461] "Generative information processing technology" is a technology that uses generative AI models to automatically generate relevant information based on input data and provide it to users.

[0462] The term "user interface" refers to the interface through which users input information, view system information, and proceed with procedures.

[0463] Modes for carrying out the invention

[0464] This invention is a support system that helps users appropriately find government support programs and facilitate the application process. A specific embodiment of this system is shown below.

[0465] System Configuration

[0466] This system primarily consists of servers, terminals, and users.

[0467] Device: Users input their attribute information using a device such as a PC or smartphone via a browser or dedicated application. The interface is intuitive, and the input forms are designed using HTML and CSS.

[0468] Server: Data sent from the terminal is received by the server. The server uses web server software (e.g., Apache, NGINX) to analyze the received information. Programming languages ​​such as Python and Java are used for analysis, and user information is compared with public system data. A database management system (e.g., MySQL, PostgreSQL) is used to store detailed information about support systems.

[0469] When information obtained from the user is sent to the server, the server uses a generative AI model to identify relevant support programs. An example of a prompt used here is "I am a 30-year-old single mother living in Tokyo. I am looking for childcare support programs. Please suggest suitable programs." The generative AI model generates a list of programs best suited to the user based on the prompt.

[0470] Providing information to users

[0471] The system information returned from the server is sent to the user's terminal and displayed through a dynamic user interface using HTML and JavaScript. This allows users to easily check an overview of the applicable system, detailed procedures, and required documents. The information is displayed in a card format, designed to facilitate easy selection and comparison by the user.

[0472] Application support

[0473] Once the user has decided which program they wish to use, the interface on the device provides links and guides to assist with the application process. To enable online applications, the entered information is transmitted via a server to the appropriate administrative agency.

[0474] This system allows users to quickly and reliably find the most suitable support program for them and apply smoothly.

[0475] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0476] Step 1:

[0477] Users input their personal information through their device. This input form includes information such as name, address, age, occupation, and family structure. The device structures this data in JSON format and sends it to the server via a secure protocol (HTTPS). This prepares the user's individual information, which serves as the basis for the server to perform subsequent processing.

[0478] Step 2:

[0479] The server parses the JSON data received from the terminal. At this stage, it validates whether the received data is in the correct format and verifies that there are no errors in the data. A Python script runs to convert the data into a format compatible with the database, and then stores the data in a MySQL or PostgreSQL database. This ensures that user information is stored systematically, allowing for smoother retrieval later on.

[0480] Step 3:

[0481] The server uses a generative AI model to analyze institutional information in the database. Here, the server queries the AI ​​model with the prompt "I'm a 30-year-old single mother living in Tokyo. I'm looking for childcare support programs. Please suggest suitable programs." Based on the user information, the AI ​​model identifies relevant support programs, ranks them appropriately, and generates a list of programs. This output is determined through the server and forms the basis of the list provided to the user.

[0482] Step 4:

[0483] The server sends the generated list of programs to the user's terminal. The user's terminal displays this program information using HTML and JavaScript, employing a designed user interface. The program information, displayed in card format, includes an overview of each program, application requirements, and procedures, allowing the user to intuitively select and view details. The terminal then uses the displayed information to support the user's decision-making.

[0484] Step 5:

[0485] Once the user selects the appropriate system, the terminal assists with the application process. Specifically, it guides the user through the online application process by providing relevant links and additional information that needs to be entered. Data based on the user's actions is then sent back to the server, which converts it into official application data for the government agency. This ensures that the user's application proceeds smoothly and that they receive appropriate support quickly.

[0486] (Application Example 1)

[0487] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0488] Government support programs are diverse, making it difficult for users to find the most suitable program and complete the application process. Furthermore, existing systems lack specific and timely suggestions based on user attribute information. There is a need to solve these problems and provide efficient and personalized program recommendations and application support.

[0489] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0490] In this invention, the server includes means for acquiring attribute information from a user, means for extracting relevant administrative systems from an information collection based on the attribute information, and means for proposing an outline of the extracted administrative system and application method using a generative information processing device. This enables the user to receive prompt and accurate proposals and application support for administrative support systems.

[0491] A "user" is an individual or organization that searches for and applies for government support programs through this system.

[0492] "Attribute information" refers to personal information of users, as well as related information such as their social background and place of residence.

[0493] "Administrative systems" refer to public services such as support and subsidies provided by the government or local authorities.

[0494] An "information collection" is a database containing detailed information about administrative systems.

[0495] A "generative information processing device" is a device that uses AI technology to automatically suggest information.

[0496] An "operation screen" is an interface that users use to input information or apply for services.

[0497] The system for implementing the present invention mainly consists of three elements: a server, a terminal, and a user.

[0498] Users first use a device to input their personal attribute information. A device refers to an information device capable of input, such as a smartphone or personal computer. This collects basic information necessary to identify the government support programs the user needs.

[0499] The server's role is to extract relevant administrative systems from a database based on the input attribute information. Generative AI models are used for efficient data processing. Servers equipped with NVIDIA GPUs and cloud services such as Microsoft Azure are frequently used for this purpose.

[0500] The extracted administrative system information is regenerated by the server and presented to the user. Here, a generative information processing device is used to automatically generate an overview of the relevant system and application procedures. This process utilizes advanced natural language processing, such as GPT-3, to provide the information in a user-friendly format.

[0501] Finally, users can easily proceed with applying for administrative services through the user interface. This interface is designed with usability in mind and allows for intuitive operation.

[0502] For example, if a single father in his 30s living in Sapporo City seeks childcare support, he enters information into the terminal, and the server identifies relevant support programs and provides detailed explanations and application procedures for the "Childcare Benefit for Single Fathers." An example of a prompt might be, "What support programs are available to a single father in his 30s living in Sapporo City?"

[0503] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0504] Step 1:

[0505] Users enter personal attribute information using their device. This information includes age, place of residence, occupation, etc. The entered data is temporarily stored on the device and then prepared for transmission to the server.

[0506] Step 2:

[0507] The terminal sends attribute information entered by the user to the server. During this process, the data is securely encrypted and transmitted over the internet. The server decrypts the received data and prepares it for subsequent processing.

[0508] Step 3:

[0509] The server uses the received attribute information to extract relevant administrative systems from the data collection. Specifically, it uses a database search algorithm to identify the appropriate systems. In this process, a generative AI model is used to evaluate the relevance of the extracted systems. As output, a list of related systems is generated.

[0510] Step 4:

[0511] The server uses a generative information processing device to generate an overview of the extracted administrative system and application procedures. This generation process utilizes a model such as GPT-3, creating the necessary information in a user-friendly natural language format. The output includes detailed information about the system and specific application procedures.

[0512] Step 5:

[0513] The server transmits the generated administrative system information to the terminal. The terminal displays the received information on its screen, making it easy for the user to understand. During this process, layout adjustments are made to the user interface.

[0514] Step 6:

[0515] Users select the most suitable administrative system and proceed with the application process through the on-screen interface on their device. This includes preparing necessary documents according to the operation guide and filling out online forms.

[0516] Step 7:

[0517] After a user submits a system application, the terminal collects the results and reports them to the server. The server then uses this feedback to perform data analysis to improve the accuracy of the database and generative models. This will result in higher quality system proposals in the future.

[0518] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0519] The system of the present invention automatically extracts relevant public systems based on information entered by the user, and further improves the quality of the suggested information by combining it with an emotion engine that recognizes the user's emotions. The embodiments thereof are described in detail below.

[0520] The system operates primarily with a server, terminals, and users. First, users input their information via a terminal, including age, place of residence, occupation, and income. The terminal securely transmits this information to the server.

[0521] The server analyzes the received user information and searches the database for relevant support and subsidy programs. Generative artificial intelligence is used in this process to suggest the most suitable program for the user. The suggestions include program outlines, application procedures, and required documents.

[0522] Furthermore, a user emotion engine operates on the device to recognize the user's current emotional state. The device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone, and sends this emotional data to the server.

[0523] The server uses sentiment data to dynamically adjust the format and tone of the information it presents according to the user's emotions. For example, if the user is confused, the system will suggest more detailed explanations or additional support options. It also collects user feedback and sentiment data to improve the accuracy of the information provided.

[0524] As a concrete example, if an elderly person living in a rural area wants to receive care support, they enter their information into a terminal. Based on the received data, the server identifies and suggests the "Elderly Care Service Support System." If the emotion engine recognizes the user's anxiety, the server provides additional details and external consultation resources to support the application process smoothly.

[0525] Thus, the present invention aims to improve the convenience of using administrative systems and the user experience by combining them with an emotion engine.

[0526] The following describes the processing flow.

[0527] Step 1:

[0528] The user uses their device to enter basic personal information such as age, place of residence, occupation, and income. The device then quickly transmits this information to the server.

[0529] Step 2:

[0530] The server receives user information and uses generative artificial intelligence to extract relevant support and subsidy programs from the database. During the extraction process, the system calculates and determines the degree of compatibility between the user's attributes and the program.

[0531] Step 3:

[0532] The server generates detailed information about the extracted programs—such as the program name, eligibility requirements, application method, and required documents—and compiles it into a proposal. This information is then sent to the terminal.

[0533] Step 4:

[0534] The device uses its built-in emotion engine to analyze the user's emotional state. Using the camera and microphone, it analyzes the user's facial expressions and tone of voice to identify their current emotion (e.g., confusion, relief, excitement).

[0535] Step 5:

[0536] The device sends the emotional data it obtains to the server. The server uses this data to adjust how information is presented to match the user's emotions. For example, if the user appears anxious, it will display more polite and detailed information.

[0537] Step 6:

[0538] The terminal presents the user with a customized proposal. The user can review the details of the program on the screen and proceed with the application process if necessary. Links to the application form and support information are also displayed simultaneously.

[0539] Step 7:

[0540] Once the user selects a program and decides to proceed with the application, the terminal displays a guide for the online application process. The user can then complete the application without any problems.

[0541] Step 8:

[0542] The server collects user feedback and sentiment data, which is then used to improve the accuracy of future suggestions. This feedback contributes to system improvement.

[0543] In this way, the system provides users with the most suitable administrative support information and services tailored to their emotions through a series of processes.

[0544] (Example 2)

[0545] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0546] In modern society, while various public support systems exist, there is a challenge in providing them appropriately to individual users. Furthermore, providing information without considering the user's feelings can lead to confusion and dissatisfaction. To address these challenges, it is necessary to effectively extract relevant system information for users and optimize the presentation of that information based on their emotions.

[0547] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0548] In this invention, the server includes means for acquiring personal information from a user, means for encrypting and transmitting the information to the server, means for extracting relevant support programs from a database based on the information, means for proposing details and usage procedures for the extracted programs using generative artificial intelligence, means for acquiring emotional data using a terminal and transmitting the data to the server, means for dynamically adjusting the content of the information presented based on the emotional data, and means for providing an interface to assist in applying for the proposed programs. This makes it possible to provide program information optimized for the user and improve the user experience.

[0549] A "user" refers to a person who operates the system and inputs their own information.

[0550] A "server" refers to a computer system that processes information sent by users and extracts relevant data from a database.

[0551] A "terminal" refers to a hardware device used by users to input information or acquire emotional data.

[0552] "Personal information" refers to information used to identify a specific user, such as their age, place of residence, occupation, and income.

[0553] "Encryption" refers to the technology of transforming data to protect the content of information being transmitted from third parties.

[0554] "Support systems" refer to public subsidies and support provided based on the specific conditions of the user.

[0555] "Generative artificial intelligence" refers to algorithms and models that have the ability to generate optimal information based on input data.

[0556] "Emotional data" refers to data that expresses the emotional state inferred from a user's facial expressions, voice, etc., as numerical values ​​or categories.

[0557] An "interface" refers to the screen or means of operation that a user uses to interact with a system and exchange information.

[0558] This invention relates to an information processing system for effectively providing public support systems to users. The system consists of the cooperation of three parties: a server, a terminal, and a user.

[0559] Users enter personal information into the system via their device. This information includes data necessary for determining eligibility for specific support programs, such as age, place of residence, occupation, and income. The device encrypts this information and securely transmits it to the server over the network.

[0560] The server searches a database based on the received information and uses generative artificial intelligence to extract relevant support programs. For example, it uses SQL queries within the database to search for and extract information on programs such as "elderly care support programs." The generative AI model is expected to be something like OpenAI's ChatGPT, which generates detailed information on the most suitable programs based on the input and provides it to the user. An example of a prompt might be, "What programs are available for elderly people living in rural areas who want to receive care support?"

[0561] Furthermore, the device is equipped with emotion recognition capabilities, which acquire emotional data from the user's facial expressions and audio data of their speech. This emotional data is sent to a server, which then provides information tailored to the user's emotions. For example, if an emotion of confusion is detected, the server can adjust how the information is presented and add more detailed explanations.

[0562] The terminal provides information via an interface to assist users in applying for support programs. This interface displays instructions on how to apply for the program and the necessary documents.

[0563] This invention integrates emotion recognition technology and generative AI models to provide users with optimal support system information and improve the user experience.

[0564] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0565] Step 1:

[0566] The user enters personal information (age, place of residence, occupation, income, etc.) through the terminal. The terminal receives this information and encrypts the input. The data processing performed here is the encryption of user input information using an encryption algorithm. The output is encrypted user information.

[0567] Step 2:

[0568] The terminal sends encrypted user information to the server. The server receives this information, decrypts it, and retrieves the original data. The server then performs data processing to convert the information into an analyzable format, obtaining analyzable user information as output.

[0569] Step 3:

[0570] The server searches the database based on the analyzed user information to extract relevant support programs. Using a generative AI model, it identifies the optimal program based on the input information and generates details about that program. This process involves data calculations using SQL queries to search the database, and the generative AI model generates an overview of the program and application procedures. The output is information about the most suitable support program for the user.

[0571] Step 4:

[0572] The device uses its built-in camera and microphone to capture the user's facial expressions and voice, and generates emotional data using an emotion recognition algorithm. Data processing based on this input involves analyzing the user's facial expression and voice data to output their emotional state as a numerical value or category.

[0573] Step 5:

[0574] The device sends emotional data to the server. The server uses this emotional data to dynamically adjust the content and tone of the information presented to the user. Specifically, it uses a generative AI model to generate and output explanatory text with the optimal tone corresponding to the user's emotions. This allows the user to be provided with more detailed instructions and support options.

[0575] Step 6:

[0576] The terminal then presents the user with the finalized information. This is done through an interface, and the output is designed to allow users to easily understand the details of the system and how to apply, and to carry out the procedures.

[0577] This series of processing steps provides users with information on public support programs that is optimized for them, and presents the information in a way that is appropriate to the user's emotions, resulting in a better user experience.

[0578] (Application Example 2)

[0579] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0580] In modern society, while a variety of public systems exist, users are unable to fully utilize them due to their complexity and the difficulty in obtaining information. Furthermore, the lack of mechanisms to provide optimal information tailored to users' needs is a contributing factor to the limited effectiveness of these systems. Even in the area of ​​housing, there is a lack of public support for problems that arise unexpectedly in daily life. This invention aims to solve these problems and promote the effective use of public systems.

[0581] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0582] In this invention, the server includes means for acquiring information from a user, means for extracting relevant public systems from a database based on said information, means for proposing details and usage procedures of the extracted systems using generative artificial intelligence, means for providing an interface to assist in applying for the proposed systems, and means for recognizing the user's emotions and adjusting the formation and tone of the information presented. This makes it possible to propose the most suitable public systems to the user based on their emotions, and to facilitate the understanding of the information and the use of the systems.

[0583] "Means of acquiring information" refers to devices and methods for collecting necessary information from users, which accept user input and securely transmit it to a server, thereby enabling database searches.

[0584] "Methods for extracting from a database" refers to the processing procedures for searching for relevant public system information within a database based on information collected from users, and then making appropriate suggestions.

[0585] "Methods proposed using generative artificial intelligence" refers to technologies that utilize generative AI technology to automatically generate explanations of systems and usage procedures in order to present system information extracted from a database to users in an easy-to-understand manner.

[0586] "Means of providing an interface" refers to a system that provides connection methods such as screens or APIs that allow users to smoothly perform the necessary procedures for the proposed system.

[0587] "Means for recognizing and adjusting emotions" refers to functions that analyze the user's emotional state and dynamically adjust the way information is presented and its tone accordingly. This is a crucial element for improving the user experience.

[0588] The system for implementing the present invention consists of three components: a user, a terminal, and a server.

[0589] First, users enter information such as age, place of residence, occupation, and income via their device. This information is securely transmitted to a server, which then uses the user's information to extract relevant public systems from its database. A database management system and search algorithms are used for this extraction.

[0590] Next, the server uses a generative AI model to propose details and usage procedures for the extracted programs. This generative AI model is trained to provide information in a user-friendly format using natural language processing technology. Furthermore, the terminal provides an interface to facilitate the application process for the programs. This interface is built using a web browser or mobile application.

[0591] Furthermore, the device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone, recognizing the user's emotions. Based on this, the server dynamically adjusts the information format and tone to provide more personalized information. Deep learning frameworks such as TensorFlow and PyTorch can be used for emotion recognition.

[0592] For example, if a household robot detects that one of the residents is worried about life after retirement, the robot will suggest pensions and senior activity support programs and explain the specific application process in an easy-to-understand manner. In this case, an example of a prompt to be entered into the generating AI model would be: "Based on the following information, please create a proposal for the most suitable public program: Age - 65, Income - Retired, User's feelings - Anxious."

[0593] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0594] Step 1:

[0595] The terminal receives basic information from the user, such as age, place of residence, occupation, and income. This input information is organized in digital format and prepared to be sent to the server.

[0596] Step 2:

[0597] The server receives user information transmitted from the terminal. The server analyzes the received data and, in this analysis, generates a key to search for relevant public systems in the database. The output is a list of the relevant system information.

[0598] Step 3:

[0599] The server uses a database to generate keys and performs searches to extract relevant public institutions. The extracted institution information is then formatted for transmission to a generative AI model. This is then sent as output to the next process.

[0600] Step 4:

[0601] The server uses a generative AI model to generate usage procedures and detailed information about the system based on extracted system information. The information generated is in natural language format and is sent back to the terminal as output.

[0602] Step 5:

[0603] The terminal receives the generated information that has been sent back and builds an interface to display suggestions to the user. Here, the UI design and wording are adjusted to make the information easy for the user to understand.

[0604] Step 6:

[0605] The device uses its built-in camera and microphone to collect the user's facial expressions and voice as input, and performs emotion analysis. The analysis results are then sent to a server as output.

[0606] Step 7:

[0607] The server adjusts the information's structure and tone based on the received emotional data. For example, if the user is feeling anxious, it prepares additional information to provide more detailed support. This adjusted information becomes the final output and is then resent to the terminal.

[0608] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0609] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0610] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0611] [Fourth Embodiment]

[0612] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0613] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0614] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0615] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0616] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0617] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0618] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0619] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0620] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0621] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0622] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0623] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0624] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0625] The system of the present invention assists users in easily finding and applying for appropriate government support and subsidy programs. Its embodiments are described in detail below.

[0626] The system operates primarily with a server, terminals, and users. First, users input their information via a terminal. This includes basic personal information, background, and social attributes. The terminal then quickly transmits the input information to the server.

[0627] The server analyzes the received information and extracts suitable systems from the database for the user. An automated system extraction method is used to compare the collected information with existing system data. Generative artificial intelligence is utilized in this process to identify highly relevant systems.

[0628] The extracted programs are proposed to the user by the server. The server generates detailed information such as an overview of the program, application procedures, and required documents, and sends it to the terminal. Users can easily decide which program to use by reviewing the information presented on the terminal. Furthermore, if the user wishes to apply for a program, the application process is supported through the interface on the terminal. Links and guides are provided to simplify the process.

[0629] As a concrete example, if a single mother in her 30s living in Tokyo wants to receive childcare support, she would first enter her information into a terminal. The server would process the received data and, as a result, present the relevant childcare support programs. For example, the "Childcare Allowance for Single Mothers" might be identified, and the user would be provided with details, application forms, and guidance on the procedure. Following the instructions, the user could then efficiently apply online.

[0630] This system can also improve the accuracy of information based on user feedback. Furthermore, when new regulations are added, the database is automatically updated to maintain the provision of the latest information. This ensures that users are always provided with the most up-to-date and optimal regulations.

[0631] The following describes the processing flow.

[0632] Step 1:

[0633] Users enter personal information such as age, place of residence, occupation, and income using their devices. The entered information is collected through user information acquisition methods.

[0634] Step 2:

[0635] The device sends the collected user information to the server. The information is transmitted securely and appropriately protected through a secure communication protocol.

[0636] Step 3:

[0637] The server analyzes the received user information. The information is categorized and compared with administrative system information stored in the system's database.

[0638] Step 4:

[0639] The server uses generative artificial intelligence to automatically extract relevant support and subsidy programs based on user information. The system then prioritizes selecting programs with a high degree of relevance.

[0640] Step 5:

[0641] The server generates detailed information and usage procedures for the extracted systems, and describes them in natural language through a proposal generation mechanism. This results in information in a format that is easy for users to understand.

[0642] Step 6:

[0643] The server sends the generated proposal to the terminal. The information provided to the user includes the purpose of the program, application procedures, and required documents.

[0644] Step 7:

[0645] Users can view information about the programs presented to them via their devices. They can select programs that interest them and view more detailed information.

[0646] Step 8:

[0647] The device provides an interface to support the user in the application process. Application links and forms are displayed, allowing the user to proceed with the process online.

[0648] Step 9:

[0649] The server receives user feedback and uses it to improve the accuracy of future policy proposals. The feedback is anonymized and used to update the database, etc.

[0650] (Example 1)

[0651] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0652] Government support programs are diverse, and it often takes considerable time and effort for users to find the program that suits them and to apply smoothly. Furthermore, as information on new programs increases, maintaining the up-to-dateness of program information becomes a challenge. To solve this problem, a system is needed that quickly and appropriately suggests relevant programs based on user attribute information, supports the application process, and dynamically updates information to reflect new developments.

[0653] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0654] In this invention, the server includes means for acquiring attribute information from a user, means for analyzing the attribute information and extracting relevant support programs from the information set, and means for presenting the details and procedures of the extracted programs using generative information processing technology. This enables users to efficiently discover highly relevant programs based on their own attribute information and to quickly carry out application procedures. Similarly, information updates accompanying the addition of new programs can be easily managed.

[0655] A "user" is an individual or organization that receives the system's services and is the entity that utilizes the provided administrative support programs.

[0656] "Attribute information" refers to data about a user's personal information and social background, including age, address, occupation, and family structure.

[0657] "Support systems" refer to public services such as subsidies, grants, and support programs provided by government agencies.

[0658] An "information collection" is a database of support programs, containing detailed information about each program, eligibility requirements, application procedures, and more.

[0659] "Generative information processing technology" is a technology that uses generative AI models to automatically generate relevant information based on input data and provide it to users.

[0660] The term "user interface" refers to the interface through which users input information, view system information, and proceed with procedures.

[0661] Modes for carrying out the invention

[0662] This invention is a support system that helps users appropriately find government support programs and facilitate the application process. A specific embodiment of this system is shown below.

[0663] System Configuration

[0664] This system primarily consists of servers, terminals, and users.

[0665] Device: Users input their attribute information using a device such as a PC or smartphone via a browser or dedicated application. The interface is intuitive, and the input forms are designed using HTML and CSS.

[0666] Server: Data sent from the terminal is received by the server. The server uses web server software (e.g., Apache, NGINX) to analyze the received information. Programming languages ​​such as Python and Java are used for analysis, and user information is compared with public system data. A database management system (e.g., MySQL, PostgreSQL) is used to store detailed information about support systems.

[0667] When information obtained from the user is sent to the server, the server uses a generative AI model to identify relevant support programs. An example of a prompt used here is "I am a 30-year-old single mother living in Tokyo. I am looking for childcare support programs. Please suggest suitable programs." The generative AI model generates a list of programs best suited to the user based on the prompt.

[0668] Providing information to users

[0669] The system information returned from the server is sent to the user's terminal and displayed through a dynamic user interface using HTML and JavaScript. This allows users to easily check an overview of the applicable system, detailed procedures, and required documents. The information is displayed in a card format, designed to facilitate easy selection and comparison by the user.

[0670] Application support

[0671] Once the user has decided which program they wish to use, the interface on the device provides links and guides to assist with the application process. To enable online applications, the entered information is transmitted via a server to the appropriate administrative agency.

[0672] This system allows users to quickly and reliably find the most suitable support program for them and apply smoothly.

[0673] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0674] Step 1:

[0675] Users input their personal information through their device. This input form includes information such as name, address, age, occupation, and family structure. The device structures this data in JSON format and sends it to the server via a secure protocol (HTTPS). This prepares the user's individual information, which serves as the basis for the server to perform subsequent processing.

[0676] Step 2:

[0677] The server parses the JSON data received from the terminal. At this stage, it validates whether the received data is in the correct format and verifies that there are no errors in the data. A Python script runs to convert the data into a format compatible with the database, and then stores the data in a MySQL or PostgreSQL database. This ensures that user information is stored systematically, allowing for smoother retrieval later on.

[0678] Step 3:

[0679] The server uses a generative AI model to analyze institutional information in the database. Here, the server queries the AI ​​model with the prompt "I'm a 30-year-old single mother living in Tokyo. I'm looking for childcare support programs. Please suggest suitable programs." Based on the user information, the AI ​​model identifies relevant support programs, ranks them appropriately, and generates a list of programs. This output is determined through the server and forms the basis of the list provided to the user.

[0680] Step 4:

[0681] The server sends the generated list of programs to the user's terminal. The user's terminal displays this program information using HTML and JavaScript, employing a designed user interface. The program information, displayed in card format, includes an overview of each program, application requirements, and procedures, allowing the user to intuitively select and view details. The terminal then uses the displayed information to support the user's decision-making.

[0682] Step 5:

[0683] Once the user selects the appropriate system, the terminal assists with the application process. Specifically, it guides the user through the online application process by providing relevant links and additional information that needs to be entered. Data based on the user's actions is then sent back to the server, which converts it into official application data for the government agency. This ensures that the user's application proceeds smoothly and that they receive appropriate support quickly.

[0684] (Application Example 1)

[0685] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0686] Government support programs are diverse, making it difficult for users to find the most suitable program and complete the application process. Furthermore, existing systems lack specific and timely suggestions based on user attribute information. There is a need to solve these problems and provide efficient and personalized program recommendations and application support.

[0687] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0688] In this invention, the server includes means for acquiring attribute information from a user, means for extracting relevant administrative systems from an information collection based on the attribute information, and means for proposing an outline of the extracted administrative system and application method using a generative information processing device. This enables the user to receive prompt and accurate proposals and application support for administrative support systems.

[0689] A "user" is an individual or organization that searches for and applies for government support programs through this system.

[0690] "Attribute information" refers to personal information of users, as well as related information such as their social background and place of residence.

[0691] "Administrative systems" refer to public services such as support and subsidies provided by the government or local authorities.

[0692] An "information collection" is a database containing detailed information about administrative systems.

[0693] A "generative information processing device" is a device that uses AI technology to automatically suggest information.

[0694] An "operation screen" is an interface that users use to input information or apply for services.

[0695] The system for implementing the present invention mainly consists of three elements: a server, a terminal, and a user.

[0696] Users first use a device to input their personal attribute information. A device refers to an information device capable of input, such as a smartphone or personal computer. This collects basic information necessary to identify the government support programs the user needs.

[0697] The server's role is to extract relevant administrative systems from a database based on the input attribute information. Generative AI models are used for efficient data processing. Servers equipped with NVIDIA GPUs and cloud services such as Microsoft Azure are frequently used for this purpose.

[0698] The extracted administrative system information is regenerated by the server and presented to the user. Here, a generative information processing device is used to automatically generate an overview of the relevant system and application procedures. This process utilizes advanced natural language processing, such as GPT-3, to provide the information in a user-friendly format.

[0699] Finally, users can easily proceed with applying for administrative services through the user interface. This interface is designed with usability in mind and allows for intuitive operation.

[0700] For example, if a single father in his 30s living in Sapporo City seeks childcare support, he enters information into the terminal, and the server identifies relevant support programs and provides detailed explanations and application procedures for the "Childcare Benefit for Single Fathers." An example of a prompt might be, "What support programs are available to a single father in his 30s living in Sapporo City?"

[0701] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0702] Step 1:

[0703] Users enter personal attribute information using their device. This information includes age, place of residence, occupation, etc. The entered data is temporarily stored on the device and then prepared for transmission to the server.

[0704] Step 2:

[0705] The terminal sends attribute information entered by the user to the server. During this process, the data is securely encrypted and transmitted over the internet. The server decrypts the received data and prepares it for subsequent processing.

[0706] Step 3:

[0707] The server uses the received attribute information to extract relevant administrative systems from the data collection. Specifically, it uses a database search algorithm to identify the appropriate systems. In this process, a generative AI model is used to evaluate the relevance of the extracted systems. As output, a list of related systems is generated.

[0708] Step 4:

[0709] The server uses a generative information processing device to generate an overview of the extracted administrative system and application procedures. This generation process utilizes a model such as GPT-3, creating the necessary information in a user-friendly natural language format. The output includes detailed information about the system and specific application procedures.

[0710] Step 5:

[0711] The server transmits the generated administrative system information to the terminal. The terminal displays the received information on its screen, making it easy for the user to understand. During this process, layout adjustments are made to the user interface.

[0712] Step 6:

[0713] Users select the most suitable administrative system and proceed with the application process through the on-screen interface on their device. This includes preparing necessary documents according to the operation guide and filling out online forms.

[0714] Step 7:

[0715] After a user submits a system application, the terminal collects the results and reports them to the server. The server then uses this feedback to perform data analysis to improve the accuracy of the database and generative models. This will result in higher quality system proposals in the future.

[0716] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0717] The system of the present invention automatically extracts relevant public systems based on information entered by the user, and further improves the quality of the suggested information by combining it with an emotion engine that recognizes the user's emotions. The embodiments thereof are described in detail below.

[0718] The system operates primarily with a server, terminals, and users. First, users input their information via a terminal, including age, place of residence, occupation, and income. The terminal securely transmits this information to the server.

[0719] The server analyzes the received user information and searches the database for relevant support and subsidy programs. Generative artificial intelligence is used in this process to suggest the most suitable program for the user. The suggestions include program outlines, application procedures, and required documents.

[0720] Furthermore, a user emotion engine operates on the device to recognize the user's current emotional state. The device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone, and sends this emotional data to the server.

[0721] The server uses sentiment data to dynamically adjust the format and tone of the information it presents according to the user's emotions. For example, if the user is confused, the system will suggest more detailed explanations or additional support options. It also collects user feedback and sentiment data to improve the accuracy of the information provided.

[0722] As a concrete example, if an elderly person living in a rural area wants to receive care support, they enter their information into a terminal. Based on the received data, the server identifies and suggests the "Elderly Care Service Support System." If the emotion engine recognizes the user's anxiety, the server provides additional details and external consultation resources to support the application process smoothly.

[0723] Thus, the present invention aims to improve the convenience of using administrative systems and the user experience by combining them with an emotion engine.

[0724] The following describes the processing flow.

[0725] Step 1:

[0726] The user uses their device to enter basic personal information such as age, place of residence, occupation, and income. The device then quickly transmits this information to the server.

[0727] Step 2:

[0728] The server receives user information and uses generative artificial intelligence to extract relevant support and subsidy programs from the database. During the extraction process, the system calculates and determines the degree of compatibility between the user's attributes and the program.

[0729] Step 3:

[0730] The server generates detailed information about the extracted programs—such as the program name, eligibility requirements, application method, and required documents—and compiles it into a proposal. This information is then sent to the terminal.

[0731] Step 4:

[0732] The device uses its built-in emotion engine to analyze the user's emotional state. Using the camera and microphone, it analyzes the user's facial expressions and tone of voice to identify their current emotion (e.g., confusion, relief, excitement).

[0733] Step 5:

[0734] The device sends the emotional data it obtains to the server. The server uses this data to adjust how information is presented to match the user's emotions. For example, if the user appears anxious, it will display more polite and detailed information.

[0735] Step 6:

[0736] The terminal presents the user with a customized proposal. The user can review the details of the program on the screen and proceed with the application process if necessary. Links to the application form and support information are also displayed simultaneously.

[0737] Step 7:

[0738] Once the user selects a program and decides to proceed with the application, the terminal displays a guide for the online application process. The user can then complete the application without any problems.

[0739] Step 8:

[0740] The server collects user feedback and sentiment data, which is then used to improve the accuracy of future suggestions. This feedback contributes to system improvement.

[0741] In this way, the system provides users with the most suitable administrative support information and services tailored to their emotions through a series of processes.

[0742] (Example 2)

[0743] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0744] In modern society, while various public support systems exist, there is a challenge in providing them appropriately to individual users. Furthermore, providing information without considering the user's feelings can lead to confusion and dissatisfaction. To address these challenges, it is necessary to effectively extract relevant system information for users and optimize the presentation of that information based on their emotions.

[0745] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0746] In this invention, the server includes means for acquiring personal information from a user, means for encrypting and transmitting the information to the server, means for extracting relevant support programs from a database based on the information, means for proposing details and usage procedures for the extracted programs using generative artificial intelligence, means for acquiring emotional data using a terminal and transmitting the data to the server, means for dynamically adjusting the content of the information presented based on the emotional data, and means for providing an interface to assist in applying for the proposed programs. This makes it possible to provide program information optimized for the user and improve the user experience.

[0747] A "user" refers to a person who operates the system and inputs their own information.

[0748] A "server" refers to a computer system that processes information sent by users and extracts relevant data from a database.

[0749] A "terminal" refers to a hardware device used by users to input information or acquire emotional data.

[0750] "Personal information" refers to information used to identify a specific user, such as their age, place of residence, occupation, and income.

[0751] "Encryption" refers to the technology of transforming data to protect the content of information being transmitted from third parties.

[0752] "Support systems" refer to public subsidies and support provided based on the specific conditions of the user.

[0753] "Generative artificial intelligence" refers to algorithms and models that have the ability to generate optimal information based on input data.

[0754] "Emotional data" refers to data that expresses the emotional state inferred from a user's facial expressions, voice, etc., as numerical values ​​or categories.

[0755] An "interface" refers to the screen or means of operation that a user uses to interact with a system and exchange information.

[0756] This invention relates to an information processing system for effectively providing public support systems to users. The system consists of the cooperation of three parties: a server, a terminal, and a user.

[0757] Users enter personal information into the system via their device. This information includes data necessary for determining eligibility for specific support programs, such as age, place of residence, occupation, and income. The device encrypts this information and securely transmits it to the server over the network.

[0758] The server searches a database based on the received information and uses generative artificial intelligence to extract relevant support programs. For example, it uses SQL queries within the database to search for and extract information on programs such as "elderly care support programs." The generative AI model is expected to be something like OpenAI's ChatGPT, which generates detailed information on the most suitable programs based on the input and provides it to the user. An example of a prompt might be, "What programs are available for elderly people living in rural areas who want to receive care support?"

[0759] Furthermore, the device is equipped with emotion recognition capabilities, which acquire emotional data from the user's facial expressions and audio data of their speech. This emotional data is sent to a server, which then provides information tailored to the user's emotions. For example, if an emotion of confusion is detected, the server can adjust how the information is presented and add more detailed explanations.

[0760] The terminal provides information via an interface to assist users in applying for support programs. This interface displays instructions on how to apply for the program and the necessary documents.

[0761] This invention integrates emotion recognition technology and generative AI models to provide users with optimal support system information and improve the user experience.

[0762] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0763] Step 1:

[0764] The user enters personal information (age, place of residence, occupation, income, etc.) through the terminal. The terminal receives this information and encrypts the input. The data processing performed here is the encryption of user input information using an encryption algorithm. The output is encrypted user information.

[0765] Step 2:

[0766] The terminal sends encrypted user information to the server. The server receives this information, decrypts it, and retrieves the original data. The server then performs data processing to convert the information into an analyzable format, obtaining analyzable user information as output.

[0767] Step 3:

[0768] The server searches the database based on the analyzed user information to extract relevant support programs. Using a generative AI model, it identifies the optimal program based on the input information and generates details about that program. This process involves data calculations using SQL queries to search the database, and the generative AI model generates an overview of the program and application procedures. The output is information about the most suitable support program for the user.

[0769] Step 4:

[0770] The device uses its built-in camera and microphone to capture the user's facial expressions and voice, and generates emotional data using an emotion recognition algorithm. Data processing based on this input involves analyzing the user's facial expression and voice data to output their emotional state as a numerical value or category.

[0771] Step 5:

[0772] The device sends emotional data to the server. The server uses this emotional data to dynamically adjust the content and tone of the information presented to the user. Specifically, it uses a generative AI model to generate and output explanatory text with the optimal tone corresponding to the user's emotions. This allows the user to be provided with more detailed instructions and support options.

[0773] Step 6:

[0774] The terminal then presents the user with the finalized information. This is done through an interface, and the output is designed to allow users to easily understand the details of the system and how to apply, and to carry out the procedures.

[0775] This series of processing steps provides users with information on public support programs that is optimized for them, and presents the information in a way that is appropriate to the user's emotions, resulting in a better user experience.

[0776] (Application Example 2)

[0777] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0778] In modern society, while a variety of public systems exist, users are unable to fully utilize them due to their complexity and the difficulty in obtaining information. Furthermore, the lack of mechanisms to provide optimal information tailored to users' needs is a contributing factor to the limited effectiveness of these systems. Even in the area of ​​housing, there is a lack of public support for problems that arise unexpectedly in daily life. This invention aims to solve these problems and promote the effective use of public systems.

[0779] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0780] In this invention, the server includes means for acquiring information from a user, means for extracting relevant public systems from a database based on said information, means for proposing details and usage procedures of the extracted systems using generative artificial intelligence, means for providing an interface to assist in applying for the proposed systems, and means for recognizing the user's emotions and adjusting the formation and tone of the information presented. This makes it possible to propose the most suitable public systems to the user based on their emotions, and to facilitate the understanding of the information and the use of the systems.

[0781] "Means of acquiring information" refers to devices and methods for collecting necessary information from users, which accept user input and securely transmit it to a server, thereby enabling database searches.

[0782] "Methods for extracting from a database" refers to the processing procedures for searching for relevant public system information within a database based on information collected from users, and then making appropriate suggestions.

[0783] "Methods proposed using generative artificial intelligence" refers to technologies that utilize generative AI technology to automatically generate explanations of systems and usage procedures in order to present system information extracted from a database to users in an easy-to-understand manner.

[0784] "Means of providing an interface" refers to a system that provides connection methods such as screens or APIs that allow users to smoothly perform the necessary procedures for the proposed system.

[0785] "Means for recognizing and adjusting emotions" refers to functions that analyze the user's emotional state and dynamically adjust the way information is presented and its tone accordingly. This is a crucial element for improving the user experience.

[0786] The system for implementing the present invention consists of three components: a user, a terminal, and a server.

[0787] First, users enter information such as age, place of residence, occupation, and income via their device. This information is securely transmitted to a server, which then uses the user's information to extract relevant public systems from its database. A database management system and search algorithms are used for this extraction.

[0788] Next, the server uses a generative AI model to propose details and usage procedures for the extracted programs. This generative AI model is trained to provide information in a user-friendly format using natural language processing technology. Furthermore, the terminal provides an interface to facilitate the application process for the programs. This interface is built using a web browser or mobile application.

[0789] Furthermore, the device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone, recognizing the user's emotions. Based on this, the server dynamically adjusts the information format and tone to provide more personalized information. Deep learning frameworks such as TensorFlow and PyTorch can be used for emotion recognition.

[0790] For example, if a household robot detects that one of the residents is worried about life after retirement, the robot will suggest pensions and senior activity support programs and explain the specific application process in an easy-to-understand manner. In this case, an example of a prompt to be entered into the generating AI model would be: "Based on the following information, please create a proposal for the most suitable public program: Age - 65, Income - Retired, User's feelings - Anxious."

[0791] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0792] Step 1:

[0793] The terminal receives basic information from the user, such as age, place of residence, occupation, and income. This input information is organized in digital format and prepared to be sent to the server.

[0794] Step 2:

[0795] The server receives user information transmitted from the terminal. The server analyzes the received data and, in this analysis, generates a key to search for relevant public systems in the database. The output is a list of the relevant system information.

[0796] Step 3:

[0797] The server uses a database to generate keys and performs searches to extract relevant public institutions. The extracted institution information is then formatted for transmission to a generative AI model. This is then sent as output to the next process.

[0798] Step 4:

[0799] The server uses a generative AI model to generate usage procedures and detailed information about the system based on extracted system information. The information generated is in natural language format and is sent back to the terminal as output.

[0800] Step 5:

[0801] The terminal receives the generated information that has been sent back and builds an interface to display suggestions to the user. Here, the UI design and wording are adjusted to make the information easy for the user to understand.

[0802] Step 6:

[0803] The device uses its built-in camera and microphone to collect the user's facial expressions and voice as input, and performs emotion analysis. The analysis results are then sent to a server as output.

[0804] Step 7:

[0805] The server adjusts the information's structure and tone based on the received emotional data. For example, if the user is feeling anxious, it prepares additional information to provide more detailed support. This adjusted information becomes the final output and is then resent to the terminal.

[0806] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0807] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0808] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0809] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0810] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0811] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0812] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0813] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0814] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0815] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0816] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0817] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0818] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0819] 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.

[0820] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0821] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0822] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0823] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0824] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0825] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0826] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0827] The following is further disclosed regarding the embodiments described above.

[0828] (Claim 1)

[0829] Means of obtaining information from users,

[0830] A means for extracting relevant public systems from a database based on the said information,

[0831] A means of proposing the details and usage procedures of the extracted system using generative artificial intelligence,

[0832] Means for providing an interface to assist in the application for the proposed system,

[0833] A system that includes this.

[0834] (Claim 2)

[0835] The system according to claim 1, further comprising means for collecting user feedback and improving system information and extraction accuracy.

[0836] (Claim 3)

[0837] The system according to claim 1, further comprising means for updating the database in response to the addition of new public system information.

[0838] "Example 1"

[0839] (Claim 1)

[0840] A device that acquires attribute information from users,

[0841] A device that analyzes the aforementioned attribute information and extracts relevant support systems from the information set,

[0842] A device that uses generative information processing technology to present the details and procedures of the extracted system,

[0843] A device that provides a user interface to assist in applying for the presented system,

[0844] A system that includes this.

[0845] (Claim 2)

[0846] The system according to claim 1, further comprising a device for collecting user usage status and satisfaction information, and for improving system information and extraction accuracy.

[0847] (Claim 3)

[0848] The system according to claim 1, further comprising a device for updating the information set in response to the addition of new support system information.

[0849] "Application Example 1"

[0850] (Claim 1)

[0851] Means for obtaining attribute information from users,

[0852] A means for extracting relevant administrative systems from a data collection based on the aforementioned attribute information,

[0853] A means for proposing the outline of the extracted administrative system and the application method using a generative information processing device,

[0854] A means for providing an operation screen to support applications for the proposed administrative system,

[0855] A means for communicating with an information processing device to generate a response to a public service,

[0856] A system that includes this.

[0857] (Claim 2)

[0858] The system according to claim 1, further comprising means for collecting user evaluations and improving system information and extraction accuracy.

[0859] (Claim 3)

[0860] The system according to claim 1, further comprising means for updating the information collection in response to the addition of new administrative system information.

[0861] "Example 2 of combining an emotion engine"

[0862] (Claim 1)

[0863] Means of obtaining personal information from users,

[0864] A means for encrypting the information and sending it to the server,

[0865] A means for extracting relevant support systems from a database based on the said information,

[0866] A means of proposing the details and usage procedures of the extracted system using generative artificial intelligence,

[0867] A means of acquiring emotional data using a terminal and sending that data to a server,

[0868] A means for dynamically adjusting the content of information presented based on the sentiment data,

[0869] Means for providing an interface to assist in the application for the proposed system,

[0870] A system that includes this.

[0871] (Claim 2)

[0872] The system according to claim 1, further comprising means for collecting user feedback and sentiment data and for improving system information and extraction accuracy.

[0873] (Claim 3)

[0874] The system according to claim 1, further comprising means for updating the database in response to the addition of new support system information.

[0875] "Application example 2 when combining with an emotional engine"

[0876] (Claim 1)

[0877] Means of obtaining information from users,

[0878] A means for extracting relevant public systems from a database based on the said information,

[0879] A means of proposing the details and usage procedures of the extracted system using generative artificial intelligence,

[0880] Means for providing an interface to assist in the application for the proposed system,

[0881] Means for recognizing the user's emotions and adjusting the formation and tone of the information presented,

[0882] A system that includes this.

[0883] (Claim 2)

[0884] The system according to claim 1, further comprising means for collecting user feedback and improving system information and extraction accuracy.

[0885] (Claim 3)

[0886] The system according to claim 1, further comprising means for updating the database in response to the addition of new public system information. [Explanation of Symbols]

[0887] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Means for obtaining attribute information from users, A means for extracting relevant administrative systems from a data collection based on the aforementioned attribute information, A means for proposing the outline of the extracted administrative system and the application method using a generative information processing device, A means for providing an operation screen to support applications for the proposed administrative system, A means for communicating with an information processing device to generate a response to a public service, A system that includes this.

2. The system according to claim 1, further comprising means for collecting user evaluations and improving system information and extraction accuracy.

3. The system according to claim 1, further comprising means for updating the information collection in response to the addition of new administrative system information.

Images