system

Abstract

We provide the system. [Solution] A means of presenting procedural information using a generative model, A means of verifying user input in real time, A means of automatically generating application documents based on a standardized format, The means of transmitting the application documents to the administrative agency, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Non-profit organizations spend a great deal of effort and time on procedures for obtaining the qualification of a recognized non-profit organization. The complexity of this procedure has become a major obstacle for organizations that want to concentrate limited human resources and resources on operations. Also, in administrative agencies, the burden of checking application contents and document procedures has been increasing, and prompt and efficient processing is required. Therefore, it is essential to develop a system that supports qualification certification accurately and promptly while reducing the burden of procedures for both non-profit organizations and administrative agencies.

Means for Solving the Problems

[0005] This invention provides a means to efficiently collect information requested by users by presenting procedural information using a generative model. Furthermore, it supports the creation of accurate application documents by verifying user input information in real time and detecting omissions and deficiencies early. In addition, it provides a means to automatically generate application documents in a standard format based on the collected information and send them to administrative agencies, enabling the entire procedure to proceed smoothly. Moreover, it provides a means to quickly notify users of the review results from administrative agencies, thereby achieving efficient communication. In this way, the aim is to significantly reduce the burden on the entire application process and improve the efficiency of nonprofit organizations' activities.

[0006] A "generative model" is an algorithm that automatically generates necessary information based on user input data or existing data.

[0007] "Means of presenting procedural information" refers to interfaces and functions that accurately provide users with the information they need and streamline the application process.

[0008] "Means of verifying user input in real time" refers to a system function that checks the entered data on the spot and immediately notifies the user of any omissions or errors.

[0009] "Methods for automatically generating application documents based on standardized formats" refer to automated processes that create application documents in the format required by the government, based on collected data.

[0010] "Means of transmission to administrative agencies" refers to communication functions for electronically submitting completed application documents in the appropriate format to the relevant public authorities. [Brief explanation of the drawing]

[0011] [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]

[0012] 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.

[0013] First, the terms used in the following description will be explained.

[0014] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0016] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0017] In the following embodiments, a labeled communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. 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).

[0018] 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."

[0019] [First Embodiment]

[0020] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0021] 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.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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".

[0032] This invention is an efficient system for reducing the burden of certification procedures between non-profit organizations and government agencies. This system utilizes a generative model to provide the information necessary for the application process and assists users in easily inputting the required information.

[0033] When a user accesses the system using a terminal and logs in or registers, the server manages user information in a database. Once logged in, the user can select the necessary application from a procedure menu presented on the terminal. Based on this selection, the server uses a generative model to present the user with appropriate procedural information. This allows the user to efficiently gather the information necessary for the application.

[0034] Furthermore, the information entered by the user is verified in real time by the server, and any missing or incorrect information is immediately notified to the terminal. This process helps prevent deficiencies in application documents and supports the creation of accurate and appropriate documents.

[0035] Based on the collected information, the server has the functionality to automatically generate application documents in a standardized format. Users can preview the generated application documents on their terminal and submit them directly once they have confirmed their contents. The server then electronically transmits these documents to the government agency, streamlining the related procedures.

[0036] For example, when a non-profit organization proceeds with the certification process, this system allows for accurate application without requiring advanced technical knowledge. Government officials can also smoothly review documents submitted through the system and provide feedback, thus accelerating the overall process. In this way, the present invention is a system that reduces the workload for both non-profit organizations and government agencies while providing high accuracy and efficiency.

[0037] The following describes the processing flow.

[0038] Step 1:

[0039] The terminal displays a login screen to the user and accepts new registration or login input. Once the user enters information, it sends that information to the server.

[0040] Step 2:

[0041] The server receives the entered user information and performs authentication within the database. If the information is valid, it returns the authentication information to the terminal and approves the user's login.

[0042] Step 3:

[0043] The terminal displays a main menu to the user, presenting options for the certification procedure. The user selects their desired procedure, and that selection is sent to the server.

[0044] Step 4:

[0045] The server, based on the selected procedure, invokes a generative model and generates the procedure information to be presented to the user. The generated information is then sent to the terminal.

[0046] Step 5:

[0047] The terminal sequentially displays generated procedural information and questions to the user, prompting them to answer. The user enters the necessary information through the terminal.

[0048] Step 6:

[0049] The server receives information entered by the user in real time and verifies each item. If any deficiencies or errors are detected, it immediately notifies the terminal and prompts the user to make corrections.

[0050] Step 7:

[0051] The server automatically generates application documents in a standard format based on verified information. The generated application documents are sent to the terminal and displayed to the user as a preview.

[0052] Step 8:

[0053] The user reviews the application documents on their device and, if there are no problems, presses the submit button. The server then electronically transmits the application documents to the government agency.

[0054] Step 9:

[0055] Government users review documents received through the application system and provide feedback for necessary approvals or corrections. The server then notifies the NPO user of this feedback.

[0056] (Example 1)

[0057] 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."

[0058] In recent years, non-profit activities and procedures with regulatory bodies have required the accurate and timely acquisition of information users need and the efficient processing of applications. However, these procedures are usually complex and involve many steps, which can lead to errors and delays. Furthermore, errors or deficiencies in application documents often delay approval, causing delays in the overall process. It is necessary to solve these problems and enable users to complete applications more smoothly.

[0059] 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.

[0060] In this invention, the server includes means for accessing the system via a device operated by the user, means for presenting procedural information based on prompt statements using a generating AI model, means for configuring a device for recording user registration information and performing authentication, means for verifying and notifying corrections to user input data in real time, means for collecting information and automatically constructing standardized documents based on it, and means for electronically transferring said documents to regulatory authorities. This enables the user to efficiently obtain the information necessary for the procedure, perform real-time data verification, and submit automatically generated application documents.

[0061] A "generative AI model" is an artificial intelligence technology that generates information based on input prompts and provides the data necessary for a specific task.

[0062] A "prompt statement" is a sentence input to a generative AI model, formally describing instructions or questions for obtaining information related to a procedure.

[0063] A "user-operated device" refers to a terminal device used by a user to access the system and perform data input or information retrieval.

[0064] A "device that records user registration information and performs authentication" is part of a system that stores user identification information and has the function of determining whether or not to grant access to the system.

[0065] "A means of real-time verification and correction notification" refers to a function that immediately checks data entered by the user and prompts for correction on the spot if there are any errors or deficiencies.

[0066] "Methods for automatically generating standardized documents" refers to a function that automatically creates documents in a predetermined format based on the information required for an application.

[0067] "Means of electronically transferring to regulatory bodies" refers to the function of performing the process of sending generated documents online in a digital format to the regulatory body.

[0068] To implement this invention, a server first functions as the underlying hardware. This server has a large-capacity database and high-speed internet connectivity, and performs user information storage and authentication, data processing, and information generation by a generative AI model. The generative AI model has software installed that uses machine learning techniques to present procedural information. This model is trained to provide appropriate information in response to input prompts.

[0069] Users access the system through their personal devices and begin the application process. These devices have a web browser or a dedicated app installed, enabling communication with the server. When a user logs in via their device, the server performs an authentication process and displays the options available to the user. Next, the user selects the procedure they wish to apply for from the presented procedure menu and enters prompt text. Following this prompt text, the AI ​​model generates the necessary procedure information and sends the data to the device.

[0070] Specifically, when a non-profit organization applies for certification of a new project, this system allows users to proceed with the process without requiring complex legal or technical knowledge. By entering a prompt such as, "Please tell me the necessary procedures to efficiently apply for certification for fundraising," the system quickly provides the required information and supports the user's process.

[0071] Subsequently, the user enters the required information into a form provided by the system. The server receives this information, verifies the data in real time, and provides immediate feedback if there are any errors. If all data is accurate, the server automatically generates a standardized application form and sends it to the user's terminal as a preview. After the document has been verified, the user submits the document electronically to the regulatory body to complete the procedure. This entire process is a detailed embodiment of the means provided by the present invention to facilitate the creation and submission of application documents.

[0072] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0073] Step 1:

[0074] The user accesses the system using a terminal and enters their login information (ID and password). Based on this input, the server verifies it against the user information stored in the database. If the verification is successful, the server sends the authentication result to the terminal, and the user can then access the main menu. Specifically, the terminal displays a login form, communicates with the server, and receives the authentication result.

[0075] Step 2:

[0076] The user selects the desired application from the procedure menu displayed on the terminal and enters a prompt message containing specific questions or instructions. Based on this input, the server passes the prompt message to the generating AI model, which generates the relevant procedure information. The generated information is sent from the server to the terminal and presented visually to the user. Specifically, the server calls the generating AI model, generates the procedure information, and sends the results to the terminal.

[0077] Step 3:

[0078] The user enters the necessary application information based on the procedural information obtained on their device. This input data is sent to the server, which performs validation in real time. The server checks for data integrity and deficiencies, and sends an error message to the device if there are any problems. Specifically, the server executes a data validation algorithm and notifies the device of the results.

[0079] Step 4:

[0080] The server automatically generates standardized application forms using information accurately entered by the user. Here, the server embeds the data into a pre-configured template and generates the application form in PDF format. The generated document is sent to the terminal and displayed to the user as a preview. Specifically, the server uses a template engine to create the document and sends the file to the terminal.

[0081] Step 5:

[0082] The user reviews the application documents generated on their device and, if there are no problems, issues a submission instruction. Upon receiving the instruction, the server electronically transmits the documents to the regulatory body. After transmission, the server sends a completion notification to the device, allowing the user to confirm the completion of the procedure. Specifically, the server transmits the documents via the electronic application API and reports the completion status to the device.

[0083] (Application Example 1)

[0084] 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."

[0085] In electronic payment services, users often encounter difficulties with complex authentication procedures and transaction information input. This can degrade the quality of the user experience and potentially disrupt service usage. Furthermore, inaccurate information input increases the risk of delays and errors in the application process. There is a need for a system that can solve these problems and allow users to complete procedures simply and quickly.

[0086] 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.

[0087] In this invention, the server includes means for presenting procedural information using a generative model, means for verifying user input information in real time, and means for performing authentication procedures to support information input. This enables users to perform procedures accurately and easily, thereby promoting the smooth use of electronic payment services.

[0088] A "generative model" is an artificial intelligence technology that autonomously provides necessary information and procedural steps based on user requests and inputs.

[0089] "Procedural information" refers to detailed data and instructions for procedures necessary to achieve a specific objective.

[0090] "Real-time verification" is a process that instantly checks the information entered by the user to ensure there are no errors or omissions.

[0091] A "standard format" is a pre-defined, standardized document format used for specific applications or reports.

[0092] "Application documents" is a general term for the documents necessary to formally make a specific request or application.

[0093] A "general institution" refers to an organization or group that has a specific function or role and operates in a variety of fields.

[0094] "Authentication procedures" are procedures to verify the user's identity and authority, and to guarantee their legitimacy.

[0095] "Transaction information" refers to specific data and records related to commercial transactions.

[0096] This system is an electronic platform that users can access using their smartphones or personal computers. The server uses a generative AI model to automatically generate necessary procedural information in response to user prompts. Once a user initiates a process, their device connects to the server, and the procedural information is presented. For example, if a user enters "Please tell me the procedure for applying for a new business credit card," the generative AI model will guide them through the necessary steps and documents.

[0097] The server uses cloud services such as AWS (registered trademark) to check each user's input information in real time and immediately verify that there are no errors. This allows users to correct their input on the spot. Once the accuracy of the user's information is confirmed, the server automatically generates an application form in a standard format based on that information and presents it to the user as a preview.

[0098] After the application documents are verified by the user, the terminal electronically transmits the documents to the relevant institution via the server. This allows the user to complete the electronic procedure securely and efficiently. A specific use case is when a small business owner introduces a new electronic payment system, using this system to easily manage and complete the complex registration process.

[0099] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0100] Step 1:

[0101] A user accesses the system using a terminal and logs in or registers a new account. The input used is a user ID and password, or new user information. The server receives this input and authenticates by matching it against the database. If authentication is successful, the login is permitted. The output is a message indicating login success or failure.

[0102] Step 2:

[0103] The user selects a prompt from a procedure menu on their terminal. A prompt such as "Please tell me how to apply for a new business credit card" is used as input. The server runs a generation AI model based on this prompt to construct the relevant procedure information. The output provides the user with a list of the required procedure steps and necessary documents.

[0104] Step 3:

[0105] The user reviews the procedure information and enters the relevant details. This information includes name, address, and company information. The server verifies the input in real time and saves it to the database. Any deficiencies or errors are immediately notified to the user's terminal. The output displays the input verification results and, if necessary, correction instructions on the terminal.

[0106] Step 4:

[0107] After accurate information is entered and verified, the server uses an AI model to automatically generate application documents based on a standardized format. The user information verified in step 3 is used as input. As output, the generated application documents are previewed on the user's device.

[0108] Step 5:

[0109] The user reviews and approves the application documents generated on their device. Upon approval, the server sends these documents as electronic data to the appropriate institution. The input is the user's confirmation and approval. The output provides the user with a message confirming the submission of the application documents and information on the progress of the procedure.

[0110] 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.

[0111] This invention is a system that helps non-profit organizations efficiently carry out certification procedures, thereby improving the speed and accuracy of administrative procedures. This system combines a generative model and an emotion engine to provide adaptive support according to the user's emotional state.

[0112] First, the user accesses the system from their terminal and logs in or registers as needed. The server manages user information in a database and performs the authentication process. After user authentication is complete, the terminal displays various menus for the application process to the user.

[0113] When a user selects a specific application procedure, the server uses a generative model to present various procedural information. At this point, the emotion engine activates and begins data analysis to recognize the user's emotions. This adjusts the information presentation method according to the user's emotional state, allowing the user to proceed with the procedure while reducing stress.

[0114] Furthermore, the server verifies user input in real time and immediately notifies the terminal if any errors are detected in the input. This enables accurate data collection and automatic generation of application documents based on standardized formats.

[0115] The generated documents are displayed as a preview to the user on their device, and after user confirmation, they are sent to the government agency. Furthermore, the government's feedback is promptly notified to the user.

[0116] For example, when a non-profit organization uses the system to submit an application, the emotion engine can detect user anxiety and provide simplified procedural information or additional support messages, creating a user-friendly and actionable environment. In this way, the present invention, through the combination of emotion engines, makes it possible to provide a better user experience and improve the overall efficiency of the application process.

[0117] The following describes the processing flow.

[0118] Step 1:

[0119] The terminal displays a login screen to the user and accepts new registration or login input. Once the user enters information, it sends that information to the server.

[0120] Step 2:

[0121] The server authenticates the user using the received user information and manages the authentication information in the database. If authentication is successful, a login success message is sent to the terminal.

[0122] Step 3:

[0123] The terminal displays a main menu to the user, providing a list of available application procedures. The user selects the application procedure they wish to request, and this selection is sent to the server.

[0124] Step 4:

[0125] The server uses a generative model based on the user's selection to choose appropriate procedural information and send it to the terminal. During this process, the server activates an emotion engine to collect user input behavior and terminal operation information.

[0126] Step 5:

[0127] The emotion engine analyzes the user's input speed and error rate to estimate the user's emotional state. Based on this emotional state, the server adjusts how information is presented to provide a less stressful input screen.

[0128] Step 6:

[0129] The user continuously inputs answers to questions presented by the server via their device. The server verifies the input in real time and notifies the device of any errors or omissions, prompting the user to make corrections.

[0130] Step 7:

[0131] Once all information is entered accurately, the server automatically generates an application form in a standard format and sends the document data to the terminal. The terminal then provides the user with a preview of the document.

[0132] Step 8:

[0133] The user previews the application on their device and, if there are no problems, issues a prompt to submit the application. The server receives this prompt and electronically transmits the document to the government agency.

[0134] Step 9:

[0135] If there is feedback from a government agency, the server will receive this information and notify the user via the terminal in a timely manner. The user will then take the necessary actions based on the feedback.

[0136] (Example 2)

[0137] 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".

[0138] Nonprofit organizations and other groups face challenges when conducting administrative procedures due to the complexity of the processes and the psychological burden on users. Traditional systems often fail to consider the emotional state of users, resulting in inefficient procedures. Furthermore, errors are prone to occur in verifying input information and creating documents, leading to delays in processing applications to government agencies.

[0139] 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.

[0140] In this invention, the server includes means for presenting procedural information using a generative model, means for analyzing the user's emotional state and adjusting the information presentation method, and means for verifying user input information in real time. This enables accurate and rapid application processing while reducing the user's psychological burden.

[0141] A "generative model" is a technology that uses artificial intelligence to generate information and data in response to user requests.

[0142] "Procedural information" refers to information that includes instructions and details necessary to carry out specific administrative or organizational procedures.

[0143] "User emotional state" refers to the psychological state and emotional changes of the user while using the system.

[0144] "Means for adjusting the method of information presentation" refers to a function that optimizes the content and format of the information displayed according to the user's emotional state.

[0145] "Means of verifying user input in real time" refers to a process of immediately confirming the accuracy and completeness of data entered by users.

[0146] A "standardized format" refers to a document format that has been standardized to suit a specific purpose or procedure.

[0147] "Methods for automatically generating application documents" refer to technologies that automatically create necessary documents based on data provided by the user.

[0148] An "organization" is a legal entity or group that operates with a specific purpose, such as a government agency, a non-profit organization, or a company.

[0149] "Information management device" refers to equipment or systems used for storing, managing, and utilizing data.

[0150] "Means of identification" refers to the verification and authentication processes necessary to identify individuals or information.

[0151] This invention provides a system that enables users to proceed with administrative procedures more efficiently. This system combines a generative AI model and an emotion engine to provide information while considering the user's emotional state. Specific embodiments are described below.

[0152] Users first access the system using a device. On the device, they log in or register using a web browser or mobile application. This authenticates them, allowing them to access the necessary functions.

[0153] The server stores user information in a database and performs user authentication. For authenticated users, it runs a generative model to generate procedural information. The generative AI model presents the user with the necessary documents and information based on predetermined procedures. During this process, the emotion engine analyzes the user's input patterns and interactions to estimate the user's emotional state. The server uses this information to determine the optimal method of presenting information to the user.

[0154] Furthermore, the server monitors and verifies user input in real time. This feature ensures that users are immediately notified of any data inconsistencies or errors, enabling the generation of accurate application documents. The server then electronically transmits the automatically generated application documents to the organization and provides subsequent feedback to the user.

[0155] For example, if a user uses a prompt such as "Please provide information regarding the procedures for establishing a new non-profit organization," the AI ​​model will explain the specific procedures in response to that request. Based on the information provided, the user can efficiently complete the procedures. In this way, the present invention has a configuration that improves the user experience and enhances the overall efficiency of administrative procedures.

[0156] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0157] Step 1:

[0158] Users access the system using a terminal and log in by entering their username and password. The terminal sends this login information to the server. The server compares the entered data with the database and performs user authentication. If authentication is successful, the server grants the user access to the system.

[0159] Step 2:

[0160] For authenticated users, the server generates a menu of procedures and sends it to the terminal. The terminal displays procedure options to the user. The user selects the specific procedure they wish to perform from the menu. The user's selection data is then sent back to the server.

[0161] Step 3:

[0162] The server uses a generative AI model, taking the received selection data as input, to generate relevant procedural information. During this process, prompt statements are passed to the generative model to obtain the necessary procedural details. The server then sends the generated information to the terminal for display to the user.

[0163] Step 4:

[0164] The user enters the required data based on the procedural information displayed on the terminal. The terminal sends this input data to the server in real time. The server immediately verifies the input data and, if there are any deficiencies or errors, sends a notification to the terminal to the user.

[0165] Step 5:

[0166] The server receives accurate data as input and automatically generates application documents. Based on this data, it creates documents according to a standard format. The created documents are sent to the terminal and provided to the user as a preview.

[0167] Step 6:

[0168] The user reviews the document previewed on their device and approves it if there are no problems with its content. Upon approval, the server electronically sends the document to the organization and awaits the result.

[0169] Step 7:

[0170] The server receives feedback from the organization and notifies the user of its contents. The user then takes the necessary actions based on the feedback received and completes the procedure.

[0171] (Application Example 2)

[0172] 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".

[0173] Nonprofit organizations and individuals are required to reduce user stress caused by complex procedural information and incomplete input in administrative procedures, and to complete application processes quickly and accurately. However, conventional systems have been unable to provide support tailored to the user's emotional state, and the complexity and time burden of the procedures have been problematic.

[0174] 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.

[0175] In this invention, the server includes means for presenting procedural information using a generative model, means for recognizing emotional states and adaptively changing the user interface, and means for providing support messages that display information simply according to the user's emotional state. This enables the provision of information and support that is tailored to the user's emotions, resulting in increased procedural efficiency and reduced stress.

[0176] A "generative model" is an algorithm for dynamically generating and providing the procedural information necessary for the user.

[0177] "Procedural information" refers to information that includes instructions and guidelines necessary to proceed with the application process.

[0178] "Real-time verification" is a function that analyzes user input information in real time and immediately notifies the user of any discrepancies.

[0179] A "standard format" is a template that constructs application documents in a standardized format.

[0180] "Application documents" are official documents containing the necessary information to be submitted to the governing body.

[0181] A "managing body" is an organization that receives, reviews, and approves application documents.

[0182] "Emotional state" refers to the user's psychological state and emotions, and the system detects this to provide adaptive support.

[0183] A "user interface" is a visual or interactive point of contact for exchanging information between a user and a system.

[0184] "Support messages" are additional guides and advice provided to assist users in understanding and completing procedures.

[0185] The server uses a generative AI model to present the user with the information necessary for the application process. This allows the user to appropriately obtain the information required for the application. The server also incorporates an emotion engine that analyzes the user's emotional state in real time from input information, facial expressions, and voice. At this time, the user interface adjusts the screen display and messages provided according to the emotional state to reduce user stress. In addition, the data entered by the user is verified in real time, and if any deficiencies are found, feedback is immediately sent to the terminal.

[0186] The user's device receives procedural information and fills in the necessary details based on the information provided. The device automatically generates application documents based on a standard format, and the user can preview them. At this point, the server also handles the function of sending the generated documents online to the governing body. Subsequently, feedback from the governing body is promptly notified to the user's device.

[0187] For example, when a user applies for permission to establish a new office, if the emotion engine detects the user's anxiety, the server adjusts the user interface to display procedural information in a particularly simple way. In this way, the user's psychological burden is reduced, and the process can be carried out efficiently.

[0188] An example of a prompt to input into a generative AI model is, "Please provide specific support messages to alleviate the user's anxiety." This allows the generative model to generate data for appropriate information presentation and emotional response.

[0189] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0190] Step 1:

[0191] The server accepts access from the user and initiates the authentication process. The user enters login information via their terminal and sends it to the server. The server retrieves user information from the database and verifies that it matches. If the input is correct, access is granted and the server proceeds to the next step.

[0192] Step 2:

[0193] The server uses a generative AI model to generate procedural information in response to user requests. During this process, user input and past behavior history are used as prompts for the generative model. The generative model outputs the relevant procedural information and sends it to the terminal. The user then reviews this information on the terminal and initiates the necessary procedures.

[0194] Step 3:

[0195] The server analyzes the user's emotional state using an emotion engine. The user sends emotional indicators such as input data, facial features, and voice to the server. The server inputs this data into the emotion engine and estimates the emotional state. If user stress or anxiety is detected, the server sends corresponding user interface adjustment data to the terminal.

[0196] Step 4:

[0197] The user enters the necessary information based on the procedure details and sends the data to the terminal. The server verifies this data in real time and automatically detects any deficiencies or errors. If detected, the server returns an error message to the user. Based on this feedback, the user attempts to enter the information again.

[0198] Step 5:

[0199] Application documents are automatically generated based on a standardized format. The server inputs the collected data into a document generator to produce the complete application documents. The generated documents are previewed on the terminal.

[0200] Step 6:

[0201] The user reviews the generated application documents and submits approval to the server. The server receives the approval and sends the documents to the governing body. After the submission is complete, the server sends a notification to the user's terminal indicating that the process is complete.

[0202] Step 7:

[0203] The server receives feedback from the governing body and notifies the user terminal of that feedback. Based on this information, the user checks the progress of the procedure and takes any necessary additional actions.

[0204] 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.

[0205] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0206] 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.

[0207] [Second Embodiment]

[0208] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0209] 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.

[0210] 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).

[0211] 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.

[0212] 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.

[0213] 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).

[0214] 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.

[0215] 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.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] 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".

[0220] This invention is an efficient system for reducing the burden of certification procedures between non-profit organizations and government agencies. This system utilizes a generative model to provide the information necessary for the application process and assists users in easily inputting the required information.

[0221] When a user accesses the system using a terminal and logs in or registers, the server manages user information in a database. Once logged in, the user can select the necessary application from a procedure menu presented on the terminal. Based on this selection, the server uses a generative model to present the user with appropriate procedural information. This allows the user to efficiently gather the information necessary for the application.

[0222] Furthermore, the information entered by the user is verified in real time by the server, and any missing or incorrect information is immediately notified to the terminal. This process helps prevent deficiencies in application documents and supports the creation of accurate and appropriate documents.

[0223] Based on the collected information, the server has the functionality to automatically generate application documents in a standardized format. Users can preview the generated application documents on their terminal and submit them directly once they have confirmed their contents. The server then electronically transmits these documents to the government agency, streamlining the related procedures.

[0224] For example, when a non-profit organization proceeds with the certification process, this system allows for accurate application without requiring advanced technical knowledge. Government officials can also smoothly review documents submitted through the system and provide feedback, thus accelerating the overall process. In this way, the present invention is a system that reduces the workload for both non-profit organizations and government agencies while providing high accuracy and efficiency.

[0225] The following describes the processing flow.

[0226] Step 1:

[0227] The terminal displays a login screen to the user and accepts new registration or login input. Once the user enters information, it sends that information to the server.

[0228] Step 2:

[0229] The server receives the entered user information and performs authentication within the database. If the information is valid, it returns the authentication information to the terminal and approves the user's login.

[0230] Step 3:

[0231] The terminal displays a main menu to the user, presenting options for the certification procedure. The user selects their desired procedure, and that selection is sent to the server.

[0232] Step 4:

[0233] The server, based on the selected procedure, invokes a generative model and generates the procedure information to be presented to the user. The generated information is then sent to the terminal.

[0234] Step 5:

[0235] The terminal sequentially displays generated procedural information and questions to the user, prompting them to answer. The user enters the necessary information through the terminal.

[0236] Step 6:

[0237] The server receives information entered by the user in real time and verifies each item. If any deficiencies or errors are detected, it immediately notifies the terminal and prompts the user to make corrections.

[0238] Step 7:

[0239] The server automatically generates application documents in a standard format based on verified information. The generated application documents are sent to the terminal and displayed to the user as a preview.

[0240] Step 8:

[0241] The user reviews the application documents on their device and, if there are no problems, presses the submit button. The server then electronically transmits the application documents to the government agency.

[0242] Step 9:

[0243] Government users review documents received through the application system and provide feedback for necessary approvals or corrections. The server then notifies the NPO user of this feedback.

[0244] (Example 1)

[0245] 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."

[0246] In recent years, non-profit activities and procedures with regulatory bodies have required the accurate and timely acquisition of information users need and the efficient processing of applications. However, these procedures are usually complex and involve many steps, which can lead to errors and delays. Furthermore, errors or deficiencies in application documents often delay approval, causing delays in the overall process. It is necessary to solve these problems and enable users to complete applications more smoothly.

[0247] 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.

[0248] In this invention, the server includes means for accessing the system via a device operated by the user, means for presenting procedural information based on prompt statements using a generating AI model, means for configuring a device for recording user registration information and performing authentication, means for verifying and notifying corrections to user input data in real time, means for collecting information and automatically constructing standardized documents based on it, and means for electronically transferring said documents to regulatory authorities. This enables the user to efficiently obtain the information necessary for the procedure, perform real-time data verification, and submit automatically generated application documents.

[0249] A "generative AI model" is an artificial intelligence technology that generates information based on input prompts and provides the data necessary for a specific task.

[0250] A "prompt statement" is a sentence input to a generative AI model, formally describing instructions or questions for obtaining information related to a procedure.

[0251] A "user-operated device" refers to a terminal device used by a user to access the system and perform data input or information retrieval.

[0252] A "device that records user registration information and performs authentication" is part of a system that stores user identification information and has the function of determining whether or not to grant access to the system.

[0253] "A means of real-time verification and correction notification" refers to a function that immediately checks data entered by the user and prompts for correction on the spot if there are any errors or deficiencies.

[0254] "Methods for automatically generating standardized documents" refers to a function that automatically creates documents in a predetermined format based on the information required for an application.

[0255] "Means of electronically transferring to regulatory bodies" refers to the function of performing the process of sending generated documents online in a digital format to the regulatory body.

[0256] To implement this invention, a server first functions as the underlying hardware. This server has a large-capacity database and high-speed internet connectivity, and performs user information storage and authentication, data processing, and information generation by a generative AI model. The generative AI model has software installed that uses machine learning techniques to present procedural information. This model is trained to provide appropriate information in response to input prompts.

[0257] Users access the system through their personal devices and begin the application process. These devices have a web browser or a dedicated app installed, enabling communication with the server. When a user logs in via their device, the server performs an authentication process and displays the options available to the user. Next, the user selects the procedure they wish to apply for from the presented procedure menu and enters prompt text. Following this prompt text, the AI ​​model generates the necessary procedure information and sends the data to the device.

[0258] Specifically, when a non-profit organization applies for certification of a new project, this system allows users to proceed with the process without requiring complex legal or technical knowledge. By entering a prompt such as, "Please tell me the necessary procedures to efficiently apply for certification for fundraising," the system quickly provides the required information and supports the user's process.

[0259] Subsequently, the user enters the required information into a form provided by the system. The server receives this information, verifies the data in real time, and provides immediate feedback if there are any errors. If all data is accurate, the server automatically generates a standardized application form and sends it to the user's terminal as a preview. After the document has been verified, the user submits the document electronically to the regulatory body to complete the procedure. This entire process is a detailed embodiment of the means provided by the present invention to facilitate the creation and submission of application documents.

[0260] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0261] Step 1:

[0262] The user accesses the system using a terminal and enters their login information (ID and password). Based on this input, the server verifies it against the user information stored in the database. If the verification is successful, the server sends the authentication result to the terminal, and the user can then access the main menu. Specifically, the terminal displays a login form, communicates with the server, and receives the authentication result.

[0263] Step 2:

[0264] The user selects the desired application from the procedure menu displayed on the terminal and enters a prompt message containing specific questions or instructions. Based on this input, the server passes the prompt message to the generating AI model, which generates the relevant procedure information. The generated information is sent from the server to the terminal and presented visually to the user. Specifically, the server calls the generating AI model, generates the procedure information, and sends the results to the terminal.

[0265] Step 3:

[0266] The user enters the necessary application information based on the procedural information obtained on their device. This input data is sent to the server, which performs validation in real time. The server checks for data integrity and deficiencies, and sends an error message to the device if there are any problems. Specifically, the server executes a data validation algorithm and notifies the device of the results.

[0267] Step 4:

[0268] The server automatically generates standardized application forms using information accurately entered by the user. Here, the server embeds the data into a pre-configured template and generates the application form in PDF format. The generated document is sent to the terminal and displayed to the user as a preview. Specifically, the server uses a template engine to create the document and sends the file to the terminal.

[0269] Step 5:

[0270] The user reviews the application documents generated on their device and, if there are no problems, issues a submission instruction. Upon receiving the instruction, the server electronically transmits the documents to the regulatory body. After transmission, the server sends a completion notification to the device, allowing the user to confirm the completion of the procedure. Specifically, the server transmits the documents via the electronic application API and reports the completion status to the device.

[0271] (Application Example 1)

[0272] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0273] In electronic payment services, users often encounter difficulties with complex authentication procedures and transaction information input. This can degrade the quality of the user experience and potentially disrupt service usage. Furthermore, inaccurate information input increases the risk of delays and errors in the application process. There is a need for a system that can solve these problems and allow users to complete procedures simply and quickly.

[0274] 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.

[0275] In this invention, the server includes means for presenting procedural information using a generative model, means for verifying user input information in real time, and means for performing authentication procedures to support information input. This enables users to perform procedures accurately and easily, thereby promoting the smooth use of electronic payment services.

[0276] A "generative model" is an artificial intelligence technology that autonomously provides necessary information and procedural steps based on user requests and inputs.

[0277] "Procedural information" refers to detailed data and instructions for procedures necessary to achieve a specific objective.

[0278] "Real-time verification" is a process of immediately checking the information input by the user to see if there are any errors or omissions.

[0279] "Standard form" is a standardized document format determined in advance for specific applications or reports.

[0280] "Application documents" is a general term for the documents necessary to formally make specific requests or applications.

[0281] "General institution" is an organization or group that has specific functions and roles and operates in various fields.

[0282] "Authentication procedure" is a procedure for verifying the identity and authority of the user and guaranteeing its legitimacy.

[0283] "Transaction information" is specific data or records related to commercial transactions.

[0284] This system is an electronic platform that users can access using a smartphone or personal computer. The server uses a generative AI model to automatically generate the necessary procedure information in response to prompts from the user. When the user starts a procedure, the terminal connects to the server and the procedure information is presented. As an example, when the user enters "Please teach me the procedure for applying for a new business credit card", the generative AI model guides the necessary steps and documents.

[0285] The server uses cloud services such as AWS to check the input information of each user in real time and immediately confirm if there are any errors. As a result, the user can correct the input content on the spot. When it is confirmed that the user's information is accurate, the server automatically generates application documents in accordance with the standard form based on that information and presents them to the user as a preview.

[0286] After the application documents are confirmed by the user, the terminal electronically transmits the documents to a general institution through the server. This enables the user to complete the e-procedure safely and efficiently. As a specific usage scenario, when a small business owner introduces a new e-payment system, this system can be used to easily manage and complete the complex registration process.

[0287] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0288] Step 1:

[0289] The user accesses the system using the terminal and logs in or registers anew. As inputs, a user ID and password, or new user information are used. The server receives these inputs and performs authentication by checking against the database. If the authentication is successful, login is permitted. As output, a message indicating login success or failure is returned.

[0290] Step 2:

[0291] The user selects a prompt sentence from the procedure menu on the terminal. A prompt sentence such as "Please teach me the procedure for applying for a new business credit card" is used as the input. The server executes a generated AI model based on this prompt sentence and constructs relevant procedure information. As output, a list of the steps of the procedure and the required documents that the user needs is provided.

[0292] Step 3:

[0293] The user checks the procedure information and enters relevant information. The inputs include name, address, company information, etc. The server verifies the input in real time and saves it to the database. If there are any deficiencies or errors, the user terminal is immediately notified. As output, the verification result of the input and correction instructions as required are displayed on the terminal.

[0294] Step 4:

[0295] After accurate information is entered and verified, the server uses an AI model to automatically generate application documents based on a standardized format. The user information verified in step 3 is used as input. As output, the generated application documents are previewed on the user's device.

[0296] Step 5:

[0297] The user reviews and approves the application documents generated on their device. Upon approval, the server sends these documents as electronic data to the appropriate institution. The input is the user's confirmation and approval. The output provides the user with a message confirming the submission of the application documents and information on the progress of the procedure.

[0298] 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.

[0299] This invention is a system that helps non-profit organizations efficiently carry out certification procedures, thereby improving the speed and accuracy of administrative procedures. This system combines a generative model and an emotion engine to provide adaptive support according to the user's emotional state.

[0300] First, the user accesses the system from their terminal and logs in or registers as needed. The server manages user information in a database and performs the authentication process. After user authentication is complete, the terminal displays various menus for the application process to the user.

[0301] When a user selects a specific application procedure, the server uses a generative model to present various procedural information. At this point, the emotion engine activates and begins data analysis to recognize the user's emotions. This adjusts the information presentation method according to the user's emotional state, allowing the user to proceed with the procedure while reducing stress.

[0302] Also, the server verifies the user's input information in real time. If any deficiency in the input content is detected, it immediately notifies the terminal. As a result, accurate data collection becomes possible, and automatic generation of application documents based on a fixed format is performed.

[0303] The generated documents are displayed to the user as a preview on the terminal, and after obtaining the user's confirmation, they are sent to the administrative agency. Furthermore, administrative feedback is also quickly notified to the user.

[0304] As a specific example, when a certain non-profit organization uses the system to apply, when the emotion engine detects the user's anxiety, by simply displaying the procedure information or providing additional support messages, it can provide an environment that is friendly and easy for the user to operate. Thus, the present invention can provide a better experience for the user and improve the efficiency of the entire application process through the combination of the emotion engine.

[0305] The following describes the processing flow.

[0306] Step 1:

[0307] The terminal displays a login screen to the user and accepts input for new registration or login. When the user enters information, it sends that information to the server.

[0308] Step 2:

[0309] The server authenticates using the received user information and manages the authentication information in the database. If the authentication is successful, it sends a login success message to the terminal.

[0310] Step 3:

[0311] The terminal displays a main menu to the user, providing a list of available application procedures. The user selects the application procedure they wish to request, and this selection is sent to the server.

[0312] Step 4:

[0313] The server uses a generative model based on the user's selection to choose appropriate procedural information and send it to the terminal. During this process, the server activates an emotion engine to collect user input behavior and terminal operation information.

[0314] Step 5:

[0315] The emotion engine analyzes the user's input speed and error rate to estimate the user's emotional state. Based on this emotional state, the server adjusts how information is presented to provide a less stressful input screen.

[0316] Step 6:

[0317] The user continuously inputs answers to questions presented by the server via their device. The server verifies the input in real time and notifies the device of any errors or omissions, prompting the user to make corrections.

[0318] Step 7:

[0319] Once all information is entered accurately, the server automatically generates an application form in a standard format and sends the document data to the terminal. The terminal then provides the user with a preview of the document.

[0320] Step 8:

[0321] The user previews the application on their device and, if there are no problems, issues a prompt to submit the application. The server receives this prompt and electronically transmits the document to the government agency.

[0322] Step 9:

[0323] If there is feedback from a government agency, the server will receive this information and notify the user via the terminal in a timely manner. The user will then take the necessary actions based on the feedback.

[0324] (Example 2)

[0325] 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".

[0326] Nonprofit organizations and other groups face challenges when conducting administrative procedures due to the complexity of the processes and the psychological burden on users. Traditional systems often fail to consider the emotional state of users, resulting in inefficient procedures. Furthermore, errors are prone to occur in verifying input information and creating documents, leading to delays in processing applications to government agencies.

[0327] 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.

[0328] In this invention, the server includes means for presenting procedural information using a generative model, means for analyzing the user's emotional state and adjusting the information presentation method, and means for verifying user input information in real time. This enables accurate and rapid application processing while reducing the user's psychological burden.

[0329] A "generative model" is a technology that uses artificial intelligence to generate information and data in response to user requests.

[0330] "Procedural information" refers to information that includes instructions and details necessary to carry out specific administrative or organizational procedures.

[0331] "User emotional state" refers to the psychological state and emotional changes of the user while using the system.

[0332] "Means for adjusting the method of information presentation" refers to a function that optimizes the content and format of the information displayed according to the user's emotional state.

[0333] "Means of verifying user input in real time" refers to a process of immediately confirming the accuracy and completeness of data entered by users.

[0334] A "standardized format" refers to a document format that has been standardized to suit a specific purpose or procedure.

[0335] "Methods for automatically generating application documents" refer to technologies that automatically create necessary documents based on data provided by the user.

[0336] An "organization" is a legal entity or group that operates with a specific purpose, such as a government agency, a non-profit organization, or a company.

[0337] "Information management device" refers to equipment or systems used for storing, managing, and utilizing data.

[0338] "Means of identification" refers to the verification and authentication processes necessary to identify individuals or information.

[0339] This invention provides a system that enables users to proceed with administrative procedures more efficiently. This system combines a generative AI model and an emotion engine to provide information while considering the user's emotional state. Specific embodiments are described below.

[0340] Users first access the system using a device. On the device, they log in or register using a web browser or mobile application. This authenticates them, allowing them to access the necessary functions.

[0341] The server stores user information in a database and performs user authentication. For authenticated users, it runs a generative model to generate procedural information. The generative AI model presents the user with the necessary documents and information based on predetermined procedures. During this process, the emotion engine analyzes the user's input patterns and interactions to estimate the user's emotional state. The server uses this information to determine the optimal method of presenting information to the user.

[0342] Furthermore, the server monitors and verifies user input in real time. This feature ensures that users are immediately notified of any data inconsistencies or errors, enabling the generation of accurate application documents. The server then electronically transmits the automatically generated application documents to the organization and provides subsequent feedback to the user.

[0343] For example, if a user uses a prompt such as "Please provide information regarding the procedures for establishing a new non-profit organization," the AI ​​model will explain the specific procedures in response to that request. Based on the information provided, the user can efficiently complete the procedures. In this way, the present invention has a configuration that improves the user experience and enhances the overall efficiency of administrative procedures.

[0344] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0345] Step 1:

[0346] Users access the system using a terminal and log in by entering their username and password. The terminal sends this login information to the server. The server compares the entered data with the database and performs user authentication. If authentication is successful, the server grants the user access to the system.

[0347] Step 2:

[0348] For authenticated users, the server generates a menu of procedures and sends it to the terminal. The terminal displays procedure options to the user. The user selects the specific procedure they wish to perform from the menu. The user's selection data is then sent back to the server.

[0349] Step 3:

[0350] The server uses a generative AI model, taking the received selection data as input, to generate relevant procedural information. During this process, prompt statements are passed to the generative model to obtain the necessary procedural details. The server then sends the generated information to the terminal for display to the user.

[0351] Step 4:

[0352] The user enters the required data based on the procedural information displayed on the terminal. The terminal sends this input data to the server in real time. The server immediately verifies the input data and, if there are any deficiencies or errors, sends a notification to the terminal to the user.

[0353] Step 5:

[0354] The server receives accurate data as input and automatically generates application documents. Based on this data, it creates documents according to a standard format. The created documents are sent to the terminal and provided to the user as a preview.

[0355] Step 6:

[0356] The user reviews the document previewed on their device and approves it if there are no problems with its content. Upon approval, the server electronically sends the document to the organization and awaits the result.

[0357] Step 7:

[0358] The server receives feedback from the organization and notifies the user of its contents. The user then takes the necessary actions based on the feedback received and completes the procedure.

[0359] (Application Example 2)

[0360] 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."

[0361] Nonprofit organizations and individuals are required to reduce user stress caused by complex procedural information and incomplete input in administrative procedures, and to complete application processes quickly and accurately. However, conventional systems have been unable to provide support tailored to the user's emotional state, and the complexity and time burden of the procedures have been problematic.

[0362] 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.

[0363] In this invention, the server includes means for presenting procedural information using a generative model, means for recognizing emotional states and adaptively changing the user interface, and means for providing support messages that display information simply according to the user's emotional state. This enables the provision of information and support that is tailored to the user's emotions, resulting in increased procedural efficiency and reduced stress.

[0364] A "generative model" is an algorithm for dynamically generating and providing the procedural information necessary for the user.

[0365] "Procedural information" refers to information that includes instructions and guidelines necessary to proceed with the application process.

[0366] "Real-time verification" is a function that analyzes user input information in real time and immediately notifies the user of any discrepancies.

[0367] A "standard format" is a template that constructs application documents in a standardized format.

[0368] "Application documents" are official documents containing the necessary information to be submitted to the governing body.

[0369] A "managing body" is an organization that receives, reviews, and approves application documents.

[0370] "Emotional state" refers to the user's psychological state and emotions, and the system detects this to provide adaptive support.

[0371] A "user interface" is a visual or interactive point of contact for exchanging information between a user and a system.

[0372] "Support messages" are additional guides and advice provided to assist users in understanding and completing procedures.

[0373] The server uses a generative AI model to present the user with the information necessary for the application process. This allows the user to appropriately obtain the information required for the application. The server also incorporates an emotion engine that analyzes the user's emotional state in real time from input information, facial expressions, and voice. At this time, the user interface adjusts the screen display and messages provided according to the emotional state to reduce user stress. In addition, the data entered by the user is verified in real time, and if any deficiencies are found, feedback is immediately sent to the terminal.

[0374] The user's device receives procedural information and fills in the necessary details based on the information provided. The device automatically generates application documents based on a standard format, and the user can preview them. At this point, the server also handles the function of sending the generated documents online to the governing body. Subsequently, feedback from the governing body is promptly notified to the user's device.

[0375] For example, when a user applies for permission to establish a new office, if the emotion engine detects the user's anxiety, the server adjusts the user interface to display procedural information in a particularly simple way. In this way, the user's psychological burden is reduced, and the process can be carried out efficiently.

[0376] An example of a prompt to input into a generative AI model is, "Please provide specific support messages to alleviate the user's anxiety." This allows the generative model to generate data for appropriate information presentation and emotional response.

[0377] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0378] Step 1:

[0379] The server accepts access from the user and initiates the authentication process. The user enters login information via their terminal and sends it to the server. The server retrieves user information from the database and verifies that it matches. If the input is correct, access is granted and the server proceeds to the next step.

[0380] Step 2:

[0381] The server uses a generative AI model to generate procedural information in response to user requests. During this process, user input and past behavior history are used as prompts for the generative model. The generative model outputs the relevant procedural information and sends it to the terminal. The user then reviews this information on the terminal and initiates the necessary procedures.

[0382] Step 3:

[0383] The server analyzes the user's emotional state using an emotion engine. The user sends emotional indicators such as input data, facial features, and voice to the server. The server inputs this data into the emotion engine and estimates the emotional state. If user stress or anxiety is detected, the server sends corresponding user interface adjustment data to the terminal.

[0384] Step 4:

[0385] The user enters the necessary information based on the procedure details and sends the data to the terminal. The server verifies this data in real time and automatically detects any deficiencies or errors. If detected, the server returns an error message to the user. Based on this feedback, the user attempts to enter the information again.

[0386] Step 5:

[0387] Application documents are automatically generated based on a standardized format. The server inputs the collected data into a document generator to produce the complete application documents. The generated documents are previewed on the terminal.

[0388] Step 6:

[0389] The user reviews the generated application documents and submits approval to the server. The server receives the approval and sends the documents to the governing body. After the submission is complete, the server sends a notification to the user's terminal indicating that the process is complete.

[0390] Step 7:

[0391] The server receives feedback from the governing body and notifies the user terminal of that feedback. Based on this information, the user checks the progress of the procedure and takes any necessary additional actions.

[0392] 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.

[0393] 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.

[0394] 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.

[0395] [Third Embodiment]

[0396] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0397] 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.

[0398] 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).

[0399] 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.

[0400] 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.

[0401] 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).

[0402] 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.

[0403] 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.

[0404] 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.

[0405] 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.

[0406] 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.

[0407] 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".

[0408] This invention is an efficient system for reducing the burden of certification procedures between non-profit organizations and government agencies. This system utilizes a generative model to provide the information necessary for the application process and assists users in easily inputting the required information.

[0409] When a user accesses the system using a terminal and logs in or registers, the server manages user information in a database. Once logged in, the user can select the necessary application from a procedure menu presented on the terminal. Based on this selection, the server uses a generative model to present the user with appropriate procedural information. This allows the user to efficiently gather the information necessary for the application.

[0410] Furthermore, the information entered by the user is verified in real time by the server, and any missing or incorrect information is immediately notified to the terminal. This process helps prevent deficiencies in application documents and supports the creation of accurate and appropriate documents.

[0411] Based on the collected information, the server has the functionality to automatically generate application documents in a standardized format. Users can preview the generated application documents on their terminal and submit them directly once they have confirmed their contents. The server then electronically transmits these documents to the government agency, streamlining the related procedures.

[0412] For example, when a non-profit organization proceeds with the certification process, this system allows for accurate application without requiring advanced technical knowledge. Government officials can also smoothly review documents submitted through the system and provide feedback, thus accelerating the overall process. In this way, the present invention is a system that reduces the workload for both non-profit organizations and government agencies while providing high accuracy and efficiency.

[0413] The following describes the processing flow.

[0414] Step 1:

[0415] The terminal displays a login screen to the user and accepts new registration or login input. Once the user enters information, it sends that information to the server.

[0416] Step 2:

[0417] The server receives the entered user information and performs authentication within the database. If the information is valid, it returns the authentication information to the terminal and approves the user's login.

[0418] Step 3:

[0419] The terminal displays a main menu to the user, presenting options for the certification procedure. The user selects their desired procedure, and that selection is sent to the server.

[0420] Step 4:

[0421] The server, based on the selected procedure, invokes a generative model and generates the procedure information to be presented to the user. The generated information is then sent to the terminal.

[0422] Step 5:

[0423] The terminal sequentially displays generated procedural information and questions to the user, prompting them to answer. The user enters the necessary information through the terminal.

[0424] Step 6:

[0425] The server receives information entered by the user in real time and verifies each item. If any deficiencies or errors are detected, it immediately notifies the terminal and prompts the user to make corrections.

[0426] Step 7:

[0427] The server automatically generates application documents in a standard format based on verified information. The generated application documents are sent to the terminal and displayed to the user as a preview.

[0428] Step 8:

[0429] The user reviews the application documents on their device and, if there are no problems, presses the submit button. The server then electronically transmits the application documents to the government agency.

[0430] Step 9:

[0431] Government users review documents received through the application system and provide feedback for necessary approvals or corrections. The server then notifies the NPO user of this feedback.

[0432] (Example 1)

[0433] 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."

[0434] In recent years, non-profit activities and procedures with regulatory bodies have required the accurate and timely acquisition of information users need and the efficient processing of applications. However, these procedures are usually complex and involve many steps, which can lead to errors and delays. Furthermore, errors or deficiencies in application documents often delay approval, causing delays in the overall process. It is necessary to solve these problems and enable users to complete applications more smoothly.

[0435] 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.

[0436] In this invention, the server includes means for accessing the system via a device operated by the user, means for presenting procedural information based on prompt statements using a generating AI model, means for configuring a device for recording user registration information and performing authentication, means for verifying and notifying corrections to user input data in real time, means for collecting information and automatically constructing standardized documents based on it, and means for electronically transferring said documents to regulatory authorities. This enables the user to efficiently obtain the information necessary for the procedure, perform real-time data verification, and submit automatically generated application documents.

[0437] A "generative AI model" is an artificial intelligence technology that generates information based on input prompts and provides the data necessary for a specific task.

[0438] A "prompt statement" is a sentence input to a generative AI model, formally describing instructions or questions for obtaining information related to a procedure.

[0439] A "user-operated device" refers to a terminal device used by a user to access the system and perform data input or information retrieval.

[0440] A "device that records user registration information and performs authentication" is part of a system that stores user identification information and has the function of determining whether or not to grant access to the system.

[0441] "A means of real-time verification and correction notification" refers to a function that immediately checks data entered by the user and prompts for correction on the spot if there are any errors or deficiencies.

[0442] "Methods for automatically generating standardized documents" refers to a function that automatically creates documents in a predetermined format based on the information required for an application.

[0443] "Means of electronically transferring to regulatory bodies" refers to the function of performing the process of sending generated documents online in a digital format to the regulatory body.

[0444] To implement this invention, a server first functions as the underlying hardware. This server has a large-capacity database and high-speed internet connectivity, and performs user information storage and authentication, data processing, and information generation by a generative AI model. The generative AI model has software installed that uses machine learning techniques to present procedural information. This model is trained to provide appropriate information in response to input prompts.

[0445] Users access the system through their personal devices and begin the application process. These devices have a web browser or a dedicated app installed, enabling communication with the server. When a user logs in via their device, the server performs an authentication process and displays the options available to the user. Next, the user selects the procedure they wish to apply for from the presented procedure menu and enters prompt text. Following this prompt text, the AI ​​model generates the necessary procedure information and sends the data to the device.

[0446] Specifically, when a non-profit organization applies for certification of a new project, this system allows users to proceed with the process without requiring complex legal or technical knowledge. By entering a prompt such as, "Please tell me the necessary procedures to efficiently apply for certification for fundraising," the system quickly provides the required information and supports the user's process.

[0447] Subsequently, the user enters the required information into a form provided by the system. The server receives this information, verifies the data in real time, and provides immediate feedback if there are any errors. If all data is accurate, the server automatically generates a standardized application form and sends it to the user's terminal as a preview. After the document has been verified, the user submits the document electronically to the regulatory body to complete the procedure. This entire process is a detailed embodiment of the means provided by the present invention to facilitate the creation and submission of application documents.

[0448] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0449] Step 1:

[0450] The user accesses the system using a terminal and enters their login information (ID and password). Based on this input, the server verifies it against the user information stored in the database. If the verification is successful, the server sends the authentication result to the terminal, and the user can then access the main menu. Specifically, the terminal displays a login form, communicates with the server, and receives the authentication result.

[0451] Step 2:

[0452] The user selects the desired application from the procedure menu displayed on the terminal and enters a prompt message containing specific questions or instructions. Based on this input, the server passes the prompt message to the generating AI model, which generates the relevant procedure information. The generated information is sent from the server to the terminal and presented visually to the user. Specifically, the server calls the generating AI model, generates the procedure information, and sends the results to the terminal.

[0453] Step 3:

[0454] The user enters the necessary application information based on the procedural information obtained on their device. This input data is sent to the server, which performs validation in real time. The server checks for data integrity and deficiencies, and sends an error message to the device if there are any problems. Specifically, the server executes a data validation algorithm and notifies the device of the results.

[0455] Step 4:

[0456] The server automatically generates standardized application forms using information accurately entered by the user. Here, the server embeds the data into a pre-configured template and generates the application form in PDF format. The generated document is sent to the terminal and displayed to the user as a preview. Specifically, the server uses a template engine to create the document and sends the file to the terminal.

[0457] Step 5:

[0458] The user reviews the application documents generated on their device and, if there are no problems, issues a submission instruction. Upon receiving the instruction, the server electronically transmits the documents to the regulatory body. After transmission, the server sends a completion notification to the device, allowing the user to confirm the completion of the procedure. Specifically, the server transmits the documents via the electronic application API and reports the completion status to the device.

[0459] (Application Example 1)

[0460] 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."

[0461] In electronic payment services, users often encounter difficulties with complex authentication procedures and transaction information input. This can degrade the quality of the user experience and potentially disrupt service usage. Furthermore, inaccurate information input increases the risk of delays and errors in the application process. There is a need for a system that can solve these problems and allow users to complete procedures simply and quickly.

[0462] 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.

[0463] In this invention, the server includes means for presenting procedural information using a generative model, means for verifying user input information in real time, and means for performing authentication procedures to support information input. This enables users to perform procedures accurately and easily, thereby promoting the smooth use of electronic payment services.

[0464] A "generative model" is an artificial intelligence technology that autonomously provides necessary information and procedural steps based on user requests and inputs.

[0465] "Procedural information" refers to detailed data and instructions for procedures necessary to achieve a specific objective.

[0466] "Real-time verification" is a process that instantly checks the information entered by the user to ensure there are no errors or omissions.

[0467] A "standard format" is a pre-defined, standardized document format used for specific applications or reports.

[0468] "Application documents" is a general term for the documents necessary to formally make a specific request or application.

[0469] A "general institution" refers to an organization or group that has a specific function or role and operates in a variety of fields.

[0470] "Authentication procedures" are procedures to verify the user's identity and authority, and to guarantee their legitimacy.

[0471] "Transaction information" refers to specific data and records related to commercial transactions.

[0472] This system is an electronic platform that users can access using their smartphones or personal computers. The server uses a generative AI model to automatically generate necessary procedural information in response to user prompts. Once a user initiates a process, their device connects to the server, and the procedural information is presented. For example, if a user enters "Please tell me the procedure for applying for a new business credit card," the generative AI model will guide them through the necessary steps and documents.

[0473] The server uses cloud services such as AWS to check each user's input information in real time and immediately verify that there are no errors. This allows users to correct their input on the spot. Once the accuracy of the user's information is confirmed, the server automatically generates an application form in a standard format based on that information and presents it to the user as a preview.

[0474] After the application documents are verified by the user, the terminal electronically transmits the documents to the relevant institution via the server. This allows the user to complete the electronic procedure securely and efficiently. A specific use case is when a small business owner introduces a new electronic payment system, using this system to easily manage and complete the complex registration process.

[0475] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0476] Step 1:

[0477] A user accesses the system using a terminal and logs in or registers a new account. The input used is a user ID and password, or new user information. The server receives this input and authenticates by matching it against the database. If authentication is successful, the login is permitted. The output is a message indicating login success or failure.

[0478] Step 2:

[0479] The user selects a prompt from a procedure menu on their terminal. A prompt such as "Please tell me how to apply for a new business credit card" is used as input. The server runs a generation AI model based on this prompt to construct the relevant procedure information. The output provides the user with a list of the required procedure steps and necessary documents.

[0480] Step 3:

[0481] The user reviews the procedure information and enters the relevant details. This information includes name, address, and company information. The server verifies the input in real time and saves it to the database. Any deficiencies or errors are immediately notified to the user's terminal. The output displays the input verification results and, if necessary, correction instructions on the terminal.

[0482] Step 4:

[0483] After accurate information is entered and verified, the server uses an AI model to automatically generate application documents based on a standardized format. The user information verified in step 3 is used as input. As output, the generated application documents are previewed on the user's device.

[0484] Step 5:

[0485] The user reviews and approves the application documents generated on their device. Upon approval, the server sends these documents as electronic data to the appropriate institution. The input is the user's confirmation and approval. The output provides the user with a message confirming the submission of the application documents and information on the progress of the procedure.

[0486] 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.

[0487] This invention is a system that helps non-profit organizations efficiently carry out certification procedures, thereby improving the speed and accuracy of administrative procedures. This system combines a generative model and an emotion engine to provide adaptive support according to the user's emotional state.

[0488] First, the user accesses the system from their terminal and logs in or registers as needed. The server manages user information in a database and performs the authentication process. After user authentication is complete, the terminal displays various menus for the application process to the user.

[0489] When a user selects a specific application procedure, the server uses a generative model to present various procedural information. At this point, the emotion engine activates and begins data analysis to recognize the user's emotions. This adjusts the information presentation method according to the user's emotional state, allowing the user to proceed with the procedure while reducing stress.

[0490] Furthermore, the server verifies user input in real time and immediately notifies the terminal if any errors are detected in the input. This enables accurate data collection and automatic generation of application documents based on standardized formats.

[0491] The generated documents are displayed as a preview to the user on their device, and after user confirmation, they are sent to the government agency. Furthermore, the government's feedback is promptly notified to the user.

[0492] For example, when a non-profit organization uses the system to submit an application, the emotion engine can detect user anxiety and provide simplified procedural information or additional support messages, creating a user-friendly and actionable environment. In this way, the present invention, through the combination of emotion engines, makes it possible to provide a better user experience and improve the overall efficiency of the application process.

[0493] The following describes the processing flow.

[0494] Step 1:

[0495] The terminal displays a login screen to the user and accepts new registration or login input. Once the user enters information, it sends that information to the server.

[0496] Step 2:

[0497] The server authenticates the user using the received user information and manages the authentication information in the database. If authentication is successful, a login success message is sent to the terminal.

[0498] Step 3:

[0499] The terminal displays a main menu to the user, providing a list of available application procedures. The user selects the application procedure they wish to request, and this selection is sent to the server.

[0500] Step 4:

[0501] The server uses a generative model based on the user's selection to choose appropriate procedural information and send it to the terminal. During this process, the server activates an emotion engine to collect user input behavior and terminal operation information.

[0502] Step 5:

[0503] The emotion engine analyzes the user's input speed and error rate to estimate the user's emotional state. Based on this emotional state, the server adjusts how information is presented to provide a less stressful input screen.

[0504] Step 6:

[0505] The user continuously inputs answers to questions presented by the server via their device. The server verifies the input in real time and notifies the device of any errors or omissions, prompting the user to make corrections.

[0506] Step 7:

[0507] Once all information is entered accurately, the server automatically generates an application form in a standard format and sends the document data to the terminal. The terminal then provides the user with a preview of the document.

[0508] Step 8:

[0509] The user previews the application on their device and, if there are no problems, issues a prompt to submit the application. The server receives this prompt and electronically transmits the document to the government agency.

[0510] Step 9:

[0511] If there is feedback from a government agency, the server will receive this information and notify the user via the terminal in a timely manner. The user will then take the necessary actions based on the feedback.

[0512] (Example 2)

[0513] 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."

[0514] Nonprofit organizations and other groups face challenges when conducting administrative procedures due to the complexity of the processes and the psychological burden on users. Traditional systems often fail to consider the emotional state of users, resulting in inefficient procedures. Furthermore, errors are prone to occur in verifying input information and creating documents, leading to delays in processing applications to government agencies.

[0515] 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.

[0516] In this invention, the server includes means for presenting procedural information using a generative model, means for analyzing the user's emotional state and adjusting the information presentation method, and means for verifying user input information in real time. This enables accurate and rapid application processing while reducing the user's psychological burden.

[0517] A "generative model" is a technology that uses artificial intelligence to generate information and data in response to user requests.

[0518] "Procedural information" refers to information that includes instructions and details necessary to carry out specific administrative or organizational procedures.

[0519] "User emotional state" refers to the psychological state and emotional changes of the user while using the system.

[0520] "Means for adjusting the method of information presentation" refers to a function that optimizes the content and format of the information displayed according to the user's emotional state.

[0521] "Means of verifying user input in real time" refers to a process of immediately confirming the accuracy and completeness of data entered by users.

[0522] A "standardized format" refers to a document format that has been standardized to suit a specific purpose or procedure.

[0523] "Methods for automatically generating application documents" refer to technologies that automatically create necessary documents based on data provided by the user.

[0524] An "organization" is a legal entity or group that operates with a specific purpose, such as a government agency, a non-profit organization, or a company.

[0525] "Information management device" refers to equipment or systems used for storing, managing, and utilizing data.

[0526] "Means of identification" refers to the verification and authentication processes necessary to identify individuals or information.

[0527] This invention provides a system that enables users to proceed with administrative procedures more efficiently. This system combines a generative AI model and an emotion engine to provide information while considering the user's emotional state. Specific embodiments are described below.

[0528] Users first access the system using a device. On the device, they log in or register using a web browser or mobile application. This authenticates them, allowing them to access the necessary functions.

[0529] The server stores user information in a database and performs user authentication. For authenticated users, it runs a generative model to generate procedural information. The generative AI model presents the user with the necessary documents and information based on predetermined procedures. During this process, the emotion engine analyzes the user's input patterns and interactions to estimate the user's emotional state. The server uses this information to determine the optimal method of presenting information to the user.

[0530] Furthermore, the server monitors and verifies user input in real time. This feature ensures that users are immediately notified of any data inconsistencies or errors, enabling the generation of accurate application documents. The server then electronically transmits the automatically generated application documents to the organization and provides subsequent feedback to the user.

[0531] For example, if a user uses a prompt such as "Please provide information regarding the procedures for establishing a new non-profit organization," the AI ​​model will explain the specific procedures in response to that request. Based on the information provided, the user can efficiently complete the procedures. In this way, the present invention has a configuration that improves the user experience and enhances the overall efficiency of administrative procedures.

[0532] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0533] Step 1:

[0534] Users access the system using a terminal and log in by entering their username and password. The terminal sends this login information to the server. The server compares the entered data with the database and performs user authentication. If authentication is successful, the server grants the user access to the system.

[0535] Step 2:

[0536] For authenticated users, the server generates a menu of procedures and sends it to the terminal. The terminal displays procedure options to the user. The user selects the specific procedure they wish to perform from the menu. The user's selection data is then sent back to the server.

[0537] Step 3:

[0538] The server uses a generative AI model, taking the received selection data as input, to generate relevant procedural information. During this process, prompt statements are passed to the generative model to obtain the necessary procedural details. The server then sends the generated information to the terminal for display to the user.

[0539] Step 4:

[0540] The user enters the required data based on the procedural information displayed on the terminal. The terminal sends this input data to the server in real time. The server immediately verifies the input data and, if there are any deficiencies or errors, sends a notification to the terminal to the user.

[0541] Step 5:

[0542] The server receives accurate data as input and automatically generates application documents. Based on this data, it creates documents according to a standard format. The created documents are sent to the terminal and provided to the user as a preview.

[0543] Step 6:

[0544] The user reviews the document previewed on their device and approves it if there are no problems with its content. Upon approval, the server electronically sends the document to the organization and awaits the result.

[0545] Step 7:

[0546] The server receives feedback from the organization and notifies the user of its contents. The user then takes the necessary actions based on the feedback received and completes the procedure.

[0547] (Application Example 2)

[0548] 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."

[0549] Nonprofit organizations and individuals are required to reduce user stress caused by complex procedural information and incomplete input in administrative procedures, and to complete application processes quickly and accurately. However, conventional systems have been unable to provide support tailored to the user's emotional state, and the complexity and time burden of the procedures have been problematic.

[0550] 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.

[0551] In this invention, the server includes means for presenting procedural information using a generative model, means for recognizing emotional states and adaptively changing the user interface, and means for providing support messages that display information simply according to the user's emotional state. This enables the provision of information and support that is tailored to the user's emotions, resulting in increased procedural efficiency and reduced stress.

[0552] A "generative model" is an algorithm for dynamically generating and providing the procedural information necessary for the user.

[0553] "Procedural information" refers to information that includes instructions and guidelines necessary to proceed with the application process.

[0554] "Real-time verification" is a function that analyzes user input information in real time and immediately notifies the user of any discrepancies.

[0555] A "standard format" is a template that constructs application documents in a standardized format.

[0556] "Application documents" are official documents containing the necessary information to be submitted to the governing body.

[0557] A "managing body" is an organization that receives, reviews, and approves application documents.

[0558] "Emotional state" refers to the user's psychological state and emotions, and the system detects this to provide adaptive support.

[0559] A "user interface" is a visual or interactive point of contact for exchanging information between a user and a system.

[0560] "Support messages" are additional guides and advice provided to assist users in understanding and completing procedures.

[0561] The server uses a generative AI model to present the user with the information necessary for the application process. This allows the user to appropriately obtain the information required for the application. The server also incorporates an emotion engine that analyzes the user's emotional state in real time from input information, facial expressions, and voice. At this time, the user interface adjusts the screen display and messages provided according to the emotional state to reduce user stress. In addition, the data entered by the user is verified in real time, and if any deficiencies are found, feedback is immediately sent to the terminal.

[0562] The user's device receives procedural information and fills in the necessary details based on the information provided. The device automatically generates application documents based on a standard format, and the user can preview them. At this point, the server also handles the function of sending the generated documents online to the governing body. Subsequently, feedback from the governing body is promptly notified to the user's device.

[0563] For example, when a user applies for permission to establish a new office, if the emotion engine detects the user's anxiety, the server adjusts the user interface to display procedural information in a particularly simple way. In this way, the user's psychological burden is reduced, and the process can be carried out efficiently.

[0564] An example of a prompt to input into a generative AI model is, "Please provide specific support messages to alleviate the user's anxiety." This allows the generative model to generate data for appropriate information presentation and emotional response.

[0565] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0566] Step 1:

[0567] The server accepts access from the user and initiates the authentication process. The user enters login information via their terminal and sends it to the server. The server retrieves user information from the database and verifies that it matches. If the input is correct, access is granted and the server proceeds to the next step.

[0568] Step 2:

[0569] The server uses a generative AI model to generate procedural information in response to user requests. During this process, user input and past behavior history are used as prompts for the generative model. The generative model outputs the relevant procedural information and sends it to the terminal. The user then reviews this information on the terminal and initiates the necessary procedures.

[0570] Step 3:

[0571] The server analyzes the user's emotional state using an emotion engine. The user sends emotional indicators such as input data, facial features, and voice to the server. The server inputs this data into the emotion engine and estimates the emotional state. If user stress or anxiety is detected, the server sends corresponding user interface adjustment data to the terminal.

[0572] Step 4:

[0573] The user enters the necessary information based on the procedure details and sends the data to the terminal. The server verifies this data in real time and automatically detects any deficiencies or errors. If detected, the server returns an error message to the user. Based on this feedback, the user attempts to enter the information again.

[0574] Step 5:

[0575] Application documents are automatically generated based on a standardized format. The server inputs the collected data into a document generator to produce the complete application documents. The generated documents are previewed on the terminal.

[0576] Step 6:

[0577] The user reviews the generated application documents and submits approval to the server. The server receives the approval and sends the documents to the governing body. After the submission is complete, the server sends a notification to the user's terminal indicating that the process is complete.

[0578] Step 7:

[0579] The server receives feedback from the governing body and notifies the user terminal of that feedback. Based on this information, the user checks the progress of the procedure and takes any necessary additional actions.

[0580] 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.

[0581] 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.

[0582] 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.

[0583] [Fourth Embodiment]

[0584] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0585] 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.

[0586] 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).

[0587] 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.

[0588] 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.

[0589] 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).

[0590] 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.

[0591] 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.

[0592] 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.

[0593] 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.

[0594] 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.

[0595] 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.

[0596] 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".

[0597] This invention is an efficient system for reducing the burden of certification procedures between non-profit organizations and government agencies. This system utilizes a generative model to provide the information necessary for the application process and assists users in easily inputting the required information.

[0598] When a user accesses the system using a terminal and logs in or registers, the server manages user information in a database. Once logged in, the user can select the necessary application from a procedure menu presented on the terminal. Based on this selection, the server uses a generative model to present the user with appropriate procedural information. This allows the user to efficiently gather the information necessary for the application.

[0599] Furthermore, the information entered by the user is verified in real time by the server, and any missing or incorrect information is immediately notified to the terminal. This process helps prevent deficiencies in application documents and supports the creation of accurate and appropriate documents.

[0600] Based on the collected information, the server has the functionality to automatically generate application documents in a standardized format. Users can preview the generated application documents on their terminal and submit them directly once they have confirmed their contents. The server then electronically transmits these documents to the government agency, streamlining the related procedures.

[0601] For example, when a non-profit organization proceeds with the certification process, this system allows for accurate application without requiring advanced technical knowledge. Government officials can also smoothly review documents submitted through the system and provide feedback, thus accelerating the overall process. In this way, the present invention is a system that reduces the workload for both non-profit organizations and government agencies while providing high accuracy and efficiency.

[0602] The following describes the processing flow.

[0603] Step 1:

[0604] The terminal displays a login screen to the user and accepts new registration or login input. Once the user enters information, it sends that information to the server.

[0605] Step 2:

[0606] The server receives the entered user information and performs authentication within the database. If the information is valid, it returns the authentication information to the terminal and approves the user's login.

[0607] Step 3:

[0608] The terminal displays a main menu to the user, presenting options for the certification procedure. The user selects their desired procedure, and that selection is sent to the server.

[0609] Step 4:

[0610] The server, based on the selected procedure, invokes a generative model and generates the procedure information to be presented to the user. The generated information is then sent to the terminal.

[0611] Step 5:

[0612] The terminal sequentially displays generated procedural information and questions to the user, prompting them to answer. The user enters the necessary information through the terminal.

[0613] Step 6:

[0614] The server receives information entered by the user in real time and verifies each item. If any deficiencies or errors are detected, it immediately notifies the terminal and prompts the user to make corrections.

[0615] Step 7:

[0616] The server automatically generates application documents in a standard format based on verified information. The generated application documents are sent to the terminal and displayed to the user as a preview.

[0617] Step 8:

[0618] The user reviews the application documents on their device and, if there are no problems, presses the submit button. The server then electronically transmits the application documents to the government agency.

[0619] Step 9:

[0620] Government users review documents received through the application system and provide feedback for necessary approvals or corrections. The server then notifies the NPO user of this feedback.

[0621] (Example 1)

[0622] 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".

[0623] In recent years, non-profit activities and procedures with regulatory bodies have required the accurate and timely acquisition of information users need and the efficient processing of applications. However, these procedures are usually complex and involve many steps, which can lead to errors and delays. Furthermore, errors or deficiencies in application documents often delay approval, causing delays in the overall process. It is necessary to solve these problems and enable users to complete applications more smoothly.

[0624] 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.

[0625] In this invention, the server includes means for accessing the system via a device operated by the user, means for presenting procedural information based on prompt statements using a generating AI model, means for configuring a device for recording user registration information and performing authentication, means for verifying and notifying corrections to user input data in real time, means for collecting information and automatically constructing standardized documents based on it, and means for electronically transferring said documents to regulatory authorities. This enables the user to efficiently obtain the information necessary for the procedure, perform real-time data verification, and submit automatically generated application documents.

[0626] A "generative AI model" is an artificial intelligence technology that generates information based on input prompts and provides the data necessary for a specific task.

[0627] A "prompt statement" is a sentence input to a generative AI model, formally describing instructions or questions for obtaining information related to a procedure.

[0628] A "user-operated device" refers to a terminal device used by a user to access the system and perform data input or information retrieval.

[0629] A "device that records user registration information and performs authentication" is part of a system that stores user identification information and has the function of determining whether or not to grant access to the system.

[0630] "A means of real-time verification and correction notification" refers to a function that immediately checks data entered by the user and prompts for correction on the spot if there are any errors or deficiencies.

[0631] "Methods for automatically generating standardized documents" refers to a function that automatically creates documents in a predetermined format based on the information required for an application.

[0632] "Means of electronically transferring to regulatory bodies" refers to the function of performing the process of sending generated documents online in a digital format to the regulatory body.

[0633] To implement this invention, a server first functions as the underlying hardware. This server has a large-capacity database and high-speed internet connectivity, and performs user information storage and authentication, data processing, and information generation by a generative AI model. The generative AI model has software installed that uses machine learning techniques to present procedural information. This model is trained to provide appropriate information in response to input prompts.

[0634] Users access the system through their personal devices and begin the application process. These devices have a web browser or a dedicated app installed, enabling communication with the server. When a user logs in via their device, the server performs an authentication process and displays the options available to the user. Next, the user selects the procedure they wish to apply for from the presented procedure menu and enters prompt text. Following this prompt text, the AI ​​model generates the necessary procedure information and sends the data to the device.

[0635] Specifically, when a non-profit organization applies for certification of a new project, this system allows users to proceed with the process without requiring complex legal or technical knowledge. By entering a prompt such as, "Please tell me the necessary procedures to efficiently apply for certification for fundraising," the system quickly provides the required information and supports the user's process.

[0636] Subsequently, the user enters the required information into a form provided by the system. The server receives this information, verifies the data in real time, and provides immediate feedback if there are any errors. If all data is accurate, the server automatically generates a standardized application form and sends it to the user's terminal as a preview. After the document has been verified, the user submits the document electronically to the regulatory body to complete the procedure. This entire process is a detailed embodiment of the means provided by the present invention to facilitate the creation and submission of application documents.

[0637] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0638] Step 1:

[0639] The user accesses the system using a terminal and enters their login information (ID and password). Based on this input, the server verifies it against the user information stored in the database. If the verification is successful, the server sends the authentication result to the terminal, and the user can then access the main menu. Specifically, the terminal displays a login form, communicates with the server, and receives the authentication result.

[0640] Step 2:

[0641] The user selects the desired application from the procedure menu displayed on the terminal and enters a prompt message containing specific questions or instructions. Based on this input, the server passes the prompt message to the generating AI model, which generates the relevant procedure information. The generated information is sent from the server to the terminal and presented visually to the user. Specifically, the server calls the generating AI model, generates the procedure information, and sends the results to the terminal.

[0642] Step 3:

[0643] The user enters the necessary application information based on the procedural information obtained on their device. This input data is sent to the server, which performs validation in real time. The server checks for data integrity and deficiencies, and sends an error message to the device if there are any problems. Specifically, the server executes a data validation algorithm and notifies the device of the results.

[0644] Step 4:

[0645] The server automatically generates standardized application forms using information accurately entered by the user. Here, the server embeds the data into a pre-configured template and generates the application form in PDF format. The generated document is sent to the terminal and displayed to the user as a preview. Specifically, the server uses a template engine to create the document and sends the file to the terminal.

[0646] Step 5:

[0647] The user reviews the application documents generated on their device and, if there are no problems, issues a submission instruction. Upon receiving the instruction, the server electronically transmits the documents to the regulatory body. After transmission, the server sends a completion notification to the device, allowing the user to confirm the completion of the procedure. Specifically, the server transmits the documents via the electronic application API and reports the completion status to the device.

[0648] (Application Example 1)

[0649] 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".

[0650] In electronic payment services, users often encounter difficulties with complex authentication procedures and transaction information input. This can degrade the quality of the user experience and potentially disrupt service usage. Furthermore, inaccurate information input increases the risk of delays and errors in the application process. There is a need for a system that can solve these problems and allow users to complete procedures simply and quickly.

[0651] 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.

[0652] In this invention, the server includes means for presenting procedural information using a generative model, means for verifying user input information in real time, and means for performing authentication procedures to support information input. This enables users to perform procedures accurately and easily, thereby promoting the smooth use of electronic payment services.

[0653] A "generative model" is an artificial intelligence technology that autonomously provides necessary information and procedural steps based on user requests and inputs.

[0654] "Procedural information" refers to detailed data and instructions for procedures necessary to achieve a specific objective.

[0655] "Real-time verification" is a process that instantly checks the information entered by the user to ensure there are no errors or omissions.

[0656] A "standard format" is a pre-defined, standardized document format used for specific applications or reports.

[0657] "Application documents" is a general term for the documents necessary to formally make a specific request or application.

[0658] A "general institution" refers to an organization or group that has a specific function or role and operates in a variety of fields.

[0659] "Authentication procedures" are procedures to verify the user's identity and authority, and to guarantee their legitimacy.

[0660] "Transaction information" refers to specific data and records related to commercial transactions.

[0661] This system is an electronic platform that users can access using their smartphones or personal computers. The server uses a generative AI model to automatically generate necessary procedural information in response to user prompts. Once a user initiates a process, their device connects to the server, and the procedural information is presented. For example, if a user enters "Please tell me the procedure for applying for a new business credit card," the generative AI model will guide them through the necessary steps and documents.

[0662] The server uses cloud services such as AWS to check each user's input information in real time and immediately verify that there are no errors. This allows users to correct their input on the spot. Once the accuracy of the user's information is confirmed, the server automatically generates an application form in a standard format based on that information and presents it to the user as a preview.

[0663] After the application documents are verified by the user, the terminal electronically transmits the documents to the relevant institution via the server. This allows the user to complete the electronic procedure securely and efficiently. A specific use case is when a small business owner introduces a new electronic payment system, using this system to easily manage and complete the complex registration process.

[0664] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0665] Step 1:

[0666] A user accesses the system using a terminal and logs in or registers a new account. The input used is a user ID and password, or new user information. The server receives this input and authenticates by matching it against the database. If authentication is successful, the login is permitted. The output is a message indicating login success or failure.

[0667] Step 2:

[0668] The user selects a prompt from a procedure menu on their terminal. A prompt such as "Please tell me how to apply for a new business credit card" is used as input. The server runs a generation AI model based on this prompt to construct the relevant procedure information. The output provides the user with a list of the required procedure steps and necessary documents.

[0669] Step 3:

[0670] The user reviews the procedure information and enters the relevant details. This information includes name, address, and company information. The server verifies the input in real time and saves it to the database. Any deficiencies or errors are immediately notified to the user's terminal. The output displays the input verification results and, if necessary, correction instructions on the terminal.

[0671] Step 4:

[0672] After accurate information is entered and verified, the server uses an AI model to automatically generate application documents based on a standardized format. The user information verified in step 3 is used as input. As output, the generated application documents are previewed on the user's device.

[0673] Step 5:

[0674] The user reviews and approves the application documents generated on their device. Upon approval, the server sends these documents as electronic data to the appropriate institution. The input is the user's confirmation and approval. The output provides the user with a message confirming the submission of the application documents and information on the progress of the procedure.

[0675] 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.

[0676] This invention is a system that helps non-profit organizations efficiently carry out certification procedures, thereby improving the speed and accuracy of administrative procedures. This system combines a generative model and an emotion engine to provide adaptive support according to the user's emotional state.

[0677] First, the user accesses the system from their terminal and logs in or registers as needed. The server manages user information in a database and performs the authentication process. After user authentication is complete, the terminal displays various menus for the application process to the user.

[0678] When a user selects a specific application procedure, the server uses a generative model to present various procedural information. At this point, the emotion engine activates and begins data analysis to recognize the user's emotions. This adjusts the information presentation method according to the user's emotional state, allowing the user to proceed with the procedure while reducing stress.

[0679] Furthermore, the server verifies user input in real time and immediately notifies the terminal if any errors are detected in the input. This enables accurate data collection and automatic generation of application documents based on standardized formats.

[0680] The generated documents are displayed as a preview to the user on their device, and after user confirmation, they are sent to the government agency. Furthermore, the government's feedback is promptly notified to the user.

[0681] For example, when a non-profit organization uses the system to submit an application, the emotion engine can detect user anxiety and provide simplified procedural information or additional support messages, creating a user-friendly and actionable environment. In this way, the present invention, through the combination of emotion engines, makes it possible to provide a better user experience and improve the overall efficiency of the application process.

[0682] The following describes the processing flow.

[0683] Step 1:

[0684] The terminal displays a login screen to the user and accepts new registration or login input. Once the user enters information, it sends that information to the server.

[0685] Step 2:

[0686] The server authenticates the user using the received user information and manages the authentication information in the database. If authentication is successful, a login success message is sent to the terminal.

[0687] Step 3:

[0688] The terminal displays a main menu to the user, providing a list of available application procedures. The user selects the application procedure they wish to request, and this selection is sent to the server.

[0689] Step 4:

[0690] The server uses a generative model based on the user's selection to choose appropriate procedural information and send it to the terminal. During this process, the server activates an emotion engine to collect user input behavior and terminal operation information.

[0691] Step 5:

[0692] The emotion engine analyzes the user's input speed and error rate to estimate the user's emotional state. Based on this emotional state, the server adjusts how information is presented to provide a less stressful input screen.

[0693] Step 6:

[0694] The user continuously inputs answers to questions presented by the server via their device. The server verifies the input in real time and notifies the device of any errors or omissions, prompting the user to make corrections.

[0695] Step 7:

[0696] Once all information is entered accurately, the server automatically generates an application form in a standard format and sends the document data to the terminal. The terminal then provides the user with a preview of the document.

[0697] Step 8:

[0698] The user previews the application on their device and, if there are no problems, issues a prompt to submit the application. The server receives this prompt and electronically transmits the document to the government agency.

[0699] Step 9:

[0700] If there is feedback from a government agency, the server will receive this information and notify the user via the terminal in a timely manner. The user will then take the necessary actions based on the feedback.

[0701] (Example 2)

[0702] 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".

[0703] Nonprofit organizations and other groups face challenges when conducting administrative procedures due to the complexity of the processes and the psychological burden on users. Traditional systems often fail to consider the emotional state of users, resulting in inefficient procedures. Furthermore, errors are prone to occur in verifying input information and creating documents, leading to delays in processing applications to government agencies.

[0704] 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.

[0705] In this invention, the server includes means for presenting procedural information using a generative model, means for analyzing the user's emotional state and adjusting the information presentation method, and means for verifying user input information in real time. This enables accurate and rapid application processing while reducing the user's psychological burden.

[0706] A "generative model" is a technology that uses artificial intelligence to generate information and data in response to user requests.

[0707] "Procedural information" refers to information that includes instructions and details necessary to carry out specific administrative or organizational procedures.

[0708] "User emotional state" refers to the psychological state and emotional changes of the user while using the system.

[0709] "Means for adjusting the method of information presentation" refers to a function that optimizes the content and format of the information displayed according to the user's emotional state.

[0710] "Means of verifying user input in real time" refers to a process of immediately confirming the accuracy and completeness of data entered by users.

[0711] A "standardized format" refers to a document format that has been standardized to suit a specific purpose or procedure.

[0712] "Methods for automatically generating application documents" refer to technologies that automatically create necessary documents based on data provided by the user.

[0713] An "organization" is a legal entity or group that operates with a specific purpose, such as a government agency, a non-profit organization, or a company.

[0714] "Information management device" refers to equipment or systems used for storing, managing, and utilizing data.

[0715] "Means of identification" refers to the verification and authentication processes necessary to identify individuals or information.

[0716] This invention provides a system that enables users to proceed with administrative procedures more efficiently. This system combines a generative AI model and an emotion engine to provide information while considering the user's emotional state. Specific embodiments are described below.

[0717] Users first access the system using a device. On the device, they log in or register using a web browser or mobile application. This authenticates them, allowing them to access the necessary functions.

[0718] The server stores user information in a database and performs user authentication. For authenticated users, it runs a generative model to generate procedural information. The generative AI model presents the user with the necessary documents and information based on predetermined procedures. During this process, the emotion engine analyzes the user's input patterns and interactions to estimate the user's emotional state. The server uses this information to determine the optimal method of presenting information to the user.

[0719] Furthermore, the server monitors and verifies user input in real time. This feature ensures that users are immediately notified of any data inconsistencies or errors, enabling the generation of accurate application documents. The server then electronically transmits the automatically generated application documents to the organization and provides subsequent feedback to the user.

[0720] For example, if a user uses a prompt such as "Please provide information regarding the procedures for establishing a new non-profit organization," the AI ​​model will explain the specific procedures in response to that request. Based on the information provided, the user can efficiently complete the procedures. In this way, the present invention has a configuration that improves the user experience and enhances the overall efficiency of administrative procedures.

[0721] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0722] Step 1:

[0723] Users access the system using a terminal and log in by entering their username and password. The terminal sends this login information to the server. The server compares the entered data with the database and performs user authentication. If authentication is successful, the server grants the user access to the system.

[0724] Step 2:

[0725] For authenticated users, the server generates a menu of procedures and sends it to the terminal. The terminal displays procedure options to the user. The user selects the specific procedure they wish to perform from the menu. The user's selection data is then sent back to the server.

[0726] Step 3:

[0727] The server uses a generative AI model, taking the received selection data as input, to generate relevant procedural information. During this process, prompt statements are passed to the generative model to obtain the necessary procedural details. The server then sends the generated information to the terminal for display to the user.

[0728] Step 4:

[0729] The user enters the required data based on the procedural information displayed on the terminal. The terminal sends this input data to the server in real time. The server immediately verifies the input data and, if there are any deficiencies or errors, sends a notification to the terminal to the user.

[0730] Step 5:

[0731] The server receives accurate data as input and automatically generates application documents. Based on this data, it creates documents according to a standard format. The created documents are sent to the terminal and provided to the user as a preview.

[0732] Step 6:

[0733] The user reviews the document previewed on their device and approves it if there are no problems with its content. Upon approval, the server electronically sends the document to the organization and awaits the result.

[0734] Step 7:

[0735] The server receives feedback from the organization and notifies the user of its contents. The user then takes the necessary actions based on the feedback received and completes the procedure.

[0736] (Application Example 2)

[0737] 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".

[0738] Nonprofit organizations and individuals are required to reduce user stress caused by complex procedural information and incomplete input in administrative procedures, and to complete application processes quickly and accurately. However, conventional systems have been unable to provide support tailored to the user's emotional state, and the complexity and time burden of the procedures have been problematic.

[0739] 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.

[0740] In this invention, the server includes means for presenting procedural information using a generative model, means for recognizing emotional states and adaptively changing the user interface, and means for providing support messages that display information simply according to the user's emotional state. This enables the provision of information and support that is tailored to the user's emotions, resulting in increased procedural efficiency and reduced stress.

[0741] A "generative model" is an algorithm for dynamically generating and providing the procedural information necessary for the user.

[0742] "Procedural information" refers to information that includes instructions and guidelines necessary to proceed with the application process.

[0743] "Real-time verification" is a function that analyzes user input information in real time and immediately notifies the user of any discrepancies.

[0744] A "standard format" is a template that constructs application documents in a standardized format.

[0745] "Application documents" are official documents containing the necessary information to be submitted to the governing body.

[0746] A "managing body" is an organization that receives, reviews, and approves application documents.

[0747] "Emotional state" refers to the user's psychological state and emotions, and the system detects this to provide adaptive support.

[0748] A "user interface" is a visual or interactive point of contact for exchanging information between a user and a system.

[0749] "Support messages" are additional guides and advice provided to assist users in understanding and completing procedures.

[0750] The server uses a generative AI model to present the user with the information necessary for the application process. This allows the user to appropriately obtain the information required for the application. The server also incorporates an emotion engine that analyzes the user's emotional state in real time from input information, facial expressions, and voice. At this time, the user interface adjusts the screen display and messages provided according to the emotional state to reduce user stress. In addition, the data entered by the user is verified in real time, and if any deficiencies are found, feedback is immediately sent to the terminal.

[0751] The user's device receives procedural information and fills in the necessary details based on the information provided. The device automatically generates application documents based on a standard format, and the user can preview them. At this point, the server also handles the function of sending the generated documents online to the governing body. Subsequently, feedback from the governing body is promptly notified to the user's device.

[0752] For example, when a user applies for permission to establish a new office, if the emotion engine detects the user's anxiety, the server adjusts the user interface to display procedural information in a particularly simple way. In this way, the user's psychological burden is reduced, and the process can be carried out efficiently.

[0753] An example of a prompt to input into a generative AI model is, "Please provide specific support messages to alleviate the user's anxiety." This allows the generative model to generate data for appropriate information presentation and emotional response.

[0754] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0755] Step 1:

[0756] The server accepts access from the user and initiates the authentication process. The user enters login information via their terminal and sends it to the server. The server retrieves user information from the database and verifies that it matches. If the input is correct, access is granted and the server proceeds to the next step.

[0757] Step 2:

[0758] The server uses a generative AI model to generate procedural information in response to user requests. During this process, user input and past behavior history are used as prompts for the generative model. The generative model outputs the relevant procedural information and sends it to the terminal. The user then reviews this information on the terminal and initiates the necessary procedures.

[0759] Step 3:

[0760] The server analyzes the user's emotional state using an emotion engine. The user sends emotional indicators such as input data, facial features, and voice to the server. The server inputs this data into the emotion engine and estimates the emotional state. If user stress or anxiety is detected, the server sends corresponding user interface adjustment data to the terminal.

[0761] Step 4:

[0762] The user enters the necessary information based on the procedure details and sends the data to the terminal. The server verifies this data in real time and automatically detects any deficiencies or errors. If detected, the server returns an error message to the user. Based on this feedback, the user attempts to enter the information again.

[0763] Step 5:

[0764] Application documents are automatically generated based on a standardized format. The server inputs the collected data into a document generator to produce the complete application documents. The generated documents are previewed on the terminal.

[0765] Step 6:

[0766] The user reviews the generated application documents and submits approval to the server. The server receives the approval and sends the documents to the governing body. After the submission is complete, the server sends a notification to the user's terminal indicating that the process is complete.

[0767] Step 7:

[0768] The server receives feedback from the governing body and notifies the user terminal of that feedback. Based on this information, the user checks the progress of the procedure and takes any necessary additional actions.

[0769] 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.

[0770] 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.

[0771] 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.

[0772] 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.

[0773] 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.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] 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."

[0778] 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.

[0779] 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.

[0780] 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.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0790] The following is further disclosed regarding the embodiments described above.

[0791] (Claim 1)

[0792] A means of presenting procedural information using a generative model,

[0793] A means of verifying user input in real time,

[0794] A means of automatically generating application documents based on a standardized format,

[0795] The means of transmitting the application documents to the administrative agency,

[0796] A system that includes this.

[0797] (Claim 2)

[0798] The system according to claim 1, further comprising means for notifying the user of the results of the review of application documents.

[0799] (Claim 3)

[0800] The system according to claim 1, further comprising means for storing user registration information in a database and performing authentication.

[0801] "Example 1"

[0802] (Claim 1)

[0803] Means of accessing the system via a device operated by the user,

[0804] A means of presenting procedural information based on prompt statements using a generative AI model,

[0805] A means for configuring a device that records user registration information and performs authentication,

[0806] A means of verifying and notifying corrections of user input data in real time,

[0807] A means of collecting information and automatically generating standardized documents based on it,

[0808] Means for electronically transferring the document to the regulatory body,

[0809] A system that includes this.

[0810] (Claim 2)

[0811] The system according to claim 1, further comprising means for a user to check a document using a means for verifying the generated document and authorizing its submission.

[0812] (Claim 3)

[0813] The system according to claim 1, further comprising means for transmitting processing status and notification content to an information recording device.

[0814] "Application Example 1"

[0815] (Claim 1)

[0816] A means of presenting procedural information using a generative model,

[0817] A means of verifying user input in real time,

[0818] A means of automatically generating application documents based on a standardized format,

[0819] Methods for submitting application documents to general institutions,

[0820] A means of performing authentication procedures to assist in information input,

[0821] A means of providing transaction information in a simple manner,

[0822] A system that includes this.

[0823] (Claim 2)

[0824] The system according to claim 1, further comprising means for notifying the user of the results of the review of application documents.

[0825] (Claim 3)

[0826] The system according to claim 1, further comprising means for storing user registration information in a database and performing authentication.

[0827] "Example 2 of combining an emotion engine"

[0828] (Claim 1)

[0829] A means of presenting procedural information using a generative model,

[0830] A means of analyzing the user's emotional state and adjusting the way information is presented,

[0831] A means of verifying user input in real time,

[0832] A means of automatically generating application documents based on a standardized format,

[0833] A means of sending the application documents to the organization,

[0834] A system that includes this.

[0835] (Claim 2)

[0836] The system according to claim 1, further comprising means for notifying the user of the results of the review of application documents.

[0837] (Claim 3)

[0838] The system according to claim 1, further comprising means for storing and identifying user registration information in an information management device.

[0839] "Application example 2 when combining with an emotional engine"

[0840] (Claim 1)

[0841] A means of presenting procedural information using a generative model,

[0842] A means of verifying user input in real time,

[0843] A means of automatically generating application documents based on a standardized format,

[0844] A means of transmitting the application documents to the managing authority,

[0845] A means of recognizing emotional states and adaptively changing the user interface,

[0846] A means of providing support messages that display information simply according to the user's emotional state,

[0847] A system that includes this.

[0848] (Claim 2)

[0849] The system according to claim 1, further comprising means for notifying the user of the results of the review of application documents.

[0850] (Claim 3)

[0851] The system according to claim 1, further comprising means for storing user registration information in an information management device and performing authentication. [Explanation of Symbols]

[0852] 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. A means of presenting procedural information using a generative model, A means of verifying user input in real time, A means of automatically generating application documents based on a standardized format, The means of transmitting the application documents to the administrative agency, A system that includes this.

2. The system according to claim 1, further comprising means for notifying the user of the results of the review of application documents.

3. The system according to claim 1, further comprising means for storing user registration information in a database and performing authentication.

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