system

Abstract

We provide the system. [Solution] An information processing device that analyzes past application information, A database that verifies the latest application information based on the analyzed information, A document generation device that identifies application information requiring updates and automatically generates the necessary documents, A user interface that presents the generated document to the user and obtains their approval, A format conversion device that adjusts approved documents to the final submission format, 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 persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In order to install a base station on a property owned by a local government or administrative agency, an application for permission to use administrative property is required. However, the application process involves manual work and there are risks of incorrect input and management mistakes of applicant information. Also, it is difficult to grasp the documents required at the time of application, and a lot of time and effort are required for application preparation. It is required to solve these problems and improve the efficiency of the work.

Means for Solving the Problems

[0005] This invention includes an information processing device that analyzes past application information, compares it with the latest application information, and identifies the necessary updates. It also includes a document generation device that automatically generates necessary documents based on the analysis results, and a user interface that presents the generated documents to the user and obtains their approval. Furthermore, by providing a system that includes a format conversion device that adjusts the approved documents to the final submission format, it enables a reduction in the man-hours required for application work and a more efficient application process.

[0006] An "information processing device" is a device that has the function of analyzing past application information and extracting its contents.

[0007] A "database" is a data storage system that stores analyzed information and compares it with the latest application information.

[0008] A "document generation device" is a device that has the function of automatically generating application documents as needed.

[0009] A "user interface" is the interface through which a user interacts with a system and reviews and approves generated documents.

[0010] A "format conversion device" is a device that has the function of converting user-approved documents into the final submission format. [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, when an emotion engine is combined. [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, let's explain the terminology used in the following explanation.

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

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

[0016] In the following embodiments, the numbered 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, the numbered 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 a system for efficiently applying for permission to use administrative property when installing base stations on properties owned by local governments or administrative agencies. This system automates the application process through the mutual cooperation of server, terminal, and user elements.

[0033] First, the server retrieves past application documents from the database and analyzes them using a generative AI model. The analyzed information is categorized into applicant information, installation location, lease period, list of officers, etc., and extracted as structured data. Based on this extracted information, the server compares it with the latest application information database and detects items that need updating.

[0034] Next, the terminal notifies the user via the user interface of the information it received from the server that needs updating. The user can then select which items to update through the terminal. Based on the user's selection, the server generates a list of documents that need to be automatically generated and sends it to the terminal.

[0035] In the automated document generation process, the server uses an AI model to generate the necessary documents specified by the user, providing the user with documents that reflect the latest organizational and personnel information. The user reviews the generated documents displayed on their terminal and approves them if there are no problems with the content. The server then prepares the approved documents into the final submission format, completing the preparation of the application documents.

[0036] For example, when renewing a permit to use a base station installed at a municipal facility, the applicant's information may have changed since the last application. In this case, the server extracts the applicant's information from the previous application and compares it with the latest personnel data to identify the discrepancies. The terminal uses a user interface to inform the user of the discrepancies and presents a list of required documents. Once the user selects and approves the documents, the server automatically generates the application documents, converts them to the final format, and prepares them for submission. This enables users to complete the application process efficiently and quickly.

[0037] The following describes the processing flow.

[0038] Step 1:

[0039] The server connects to relevant databases, such as those of local governments, to retrieve past application documents. The retrieved data includes attributes such as applicant information, installation location, and lease period.

[0040] Step 2:

[0041] The server uses a generative AI model to analyze the acquired application documents. Based on the analysis results, it extracts the necessary information as classified and structured data.

[0042] Step 3:

[0043] The server compares the analyzed information with the latest database information to detect which items need updating. The differences include changes to applicant information, board member lists, and other similar data.

[0044] Step 4:

[0045] The terminal notifies the user of any updates received from the server. The relevant update items are displayed in a list through the user interface.

[0046] Step 5:

[0047] The user selects the items that need updating through the terminal screen and sends an update request to the server.

[0048] Step 6:

[0049] The server generates a list of newly required documents based on the updates selected by the user.

[0050] Step 7:

[0051] The terminal displays the generated list of documents to the user, allowing the user to select and confirm them.

[0052] Step 8:

[0053] The user selects the required documents from the list and requests the server to generate them.

[0054] Step 9:

[0055] The server automatically generates documents using an AI model based on the selected documents. The generated documents reflect the latest information.

[0056] Step 10:

[0057] The terminal presents the contents of the generated document to the user via a user interface. The user reviews the contents and approves it if there are no problems.

[0058] Step 11:

[0059] The server converts the approved documents into the final submission format and saves them as ready for submission.

[0060] Step 12:

[0061] The device notifies the user when the submission is ready and prompts for instructions to submit the application if necessary.

[0062] (Example 1)

[0063] 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."

[0064] When installing base stations on properties owned by local governments or administrative agencies, the application process for permission to use administrative property can be time-consuming and labor-intensive. In particular, the updating of application information and the automatic generation of application documents need to be handled efficiently. Furthermore, proper management and presentation of information are required to ensure accuracy while facilitating rapid approval. A system is needed to efficiently address these challenges.

[0065] 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.

[0066] In this invention, the server includes information processing means for analyzing past application information, means for identifying update items by comparing the analyzed information with the latest application database, display means for notifying the user of information that needs updating, generation means for automatically generating necessary documents based on the user's selection, interface means for approving the generated documents, and conversion means for formatting the approved documents into the final submission format. As a result, procedures related to applications for permission to use administrative property are carried out efficiently and quickly, and users are able to perform accurate and optimal application tasks.

[0067] "Information processing means" refers to a device or process for analyzing past application information and classifying and extracting necessary data.

[0068] A "matching means" is a device or process for comparing analyzed application information with the latest application database and identifying items that need updating.

[0069] "Display means" refers to an interface device or function that informs the user of information that needs updating.

[0070] "Generation means" refers to a process or engine for automatically creating documents based on the required items selected by the user.

[0071] "Interface means" refers to digital or physical means for a user to review and approve a generated document.

[0072] "Conversion means" refers to the process or device for formatting a document into its final submission format.

[0073] This invention provides a system in which a server, terminal, and user work together to streamline the application process for permission to use administrative property related to the installation of base stations on properties owned by local governments and administrative agencies.

[0074] The server functions as the core for information processing. Specifically, the server retrieves past application information from the database and analyzes this information using a generative AI model. The applicant information, installation location, lease period, and list of officers extracted through the analysis are compared with the latest database. The server then identifies items that need updating. A model using natural language processing technology is used as the generative AI model.

[0075] The terminal provides an interface for delivering information to the user. The terminal notifies the user through the user interface of items that need updating, which have been sent from the server. The user can then select which items to update and review the automatically generated documents via the terminal.

[0076] The user updates the necessary documents based on the information displayed on the terminal. Based on the document generation list selected by the user, the server automatically generates the necessary documents using an AI model. After the generated documents are reviewed and approved by the user, the server formats them into the final submission format.

[0077] As a concrete example of this system, consider the renewal of usage permits for base stations installed in municipal facilities. The server extracts necessary information from past applications and identifies discrepancies by comparing them with the latest information. The terminal notifies the user of this information, and the user can select the documents that need updating. The selected documents are automatically generated by the server and finally formatted for submission.

[0078] An example of a prompt message is: "Based on past application documents for permission to use administrative property, please identify any differences compared to the latest information and provide any documents that need to be updated."

[0079] This system allows users to submit applications for permission to use government property accurately and efficiently.

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] The server retrieves past application information from the database. The input is a vast amount of application document data stored in the database, and the output is application information that matches a specific period or condition. Specifically, the server executes an SQL query such as "SELECT FROM application_documents WHERE status='approved';" to retrieve the necessary application information in list format.

[0083] Step 2:

[0084] The server uses a generative AI model to analyze the acquired application information. The input is the application information acquired in step 1, and the output is structured data generated by the analysis. In this analysis process, the AI ​​model uses natural language processing to extract important information such as applicant information, installation location, and lease period. As a result, analysis results such as "extracting applicant names from the application form and compiling them into a list" are obtained.

[0085] Step 3:

[0086] The server compares the structured data with the latest application database to identify items that need updating. The input is the parsed structured data, and the output is a list of items that need updating. In this process, the server calculates the differences between the old and new data and performs specific actions such as "comparing the new list of officers with the list of officers in the database to identify the changes."

[0087] Step 4:

[0088] The terminal notifies the user, via the user interface, of a list of items that need updating, which is output from the server. The input is the list of items to update, and the output is the user's selection. Specifically, the terminal provides the function of "displaying the items that need updating in a pop-up and offering the user a choice."

[0089] Step 5:

[0090] The user selects the necessary items via their terminal and sends them to the server. The server automatically generates the required documents based on the user's selections. The input is the result of the user's selection of items that need updating, and the output is the generated document. Specifically, the server performs the process of "generating a lease renewal application form using an AI generation model."

[0091] Step 6:

[0092] The server formats the generated document into the final submission format and sends it to the terminal. The input is an automatically generated document, and the output is a formatted submission document. Specifically, it performs actions such as "converting the generated document to PDF format and inserting an electronic signature."

[0093] Through these steps, the system efficiently and accurately supports the process of applying for permission to use government property.

[0094] (Application Example 1)

[0095] 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."

[0096] In traditional administrative procedures, many application documents required manual creation and updating, making it difficult to maintain accuracy, especially in environments where laws and regulations change frequently. Furthermore, the associated labor and time consumption were significant, posing a major challenge to expediting and streamlining procedures.

[0097] 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.

[0098] In this invention, the server includes information processing means for analyzing past application information, information storage means for comparing the latest application information based on the analyzed information, document generation means for identifying application information that needs updating and automatically generating the necessary documents, and application means for using a generation AI model. This makes it possible to significantly improve the accuracy and efficiency of information in the application procedure.

[0099] "Information processing means" is a general term for devices and technologies that collect and analyze past application information and extract and organize necessary data.

[0100] "Information storage means" refers to memory devices or technologies used to store analyzed information and compare it with the latest application information.

[0101] "Document generation means" refers to devices or technologies for identifying application information that needs updating and automatically generating the necessary documents.

[0102] "User guidance means" refers to the interface or technology used to present generated documents to users and obtain their approval.

[0103] "Format conversion means" refers to devices or technologies used to adjust an approved document into a format that can be finally submitted.

[0104] A "generative AI model" is an artificial intelligence model used to automatically input the contents of application documents and to reflect changes in laws and regulations.

[0105] The system that realizes this invention uses a combination of technologies to streamline the application process. The server uses information processing means to analyze past application information. This means retrieves past application documents from a database and analyzes their content using natural language processing technology. As a result of the analysis, the necessary data is extracted in a structured format and stored in an information storage means.

[0106] Next, the data stored in the information storage device is compared with the latest application information, and any sections requiring updates are identified. These processes utilize APIs such as Google® Cloud AI and OpenAI®, and automated document generation is performed using generative AI models. The document generation device itself contributes to creating documents that reflect changes in the latest laws and regulations.

[0107] The generated document is presented to the user through a user guidance system. The terminal's user interface allows the user to review the document's contents and approve it as needed. At this stage, the information entered by the user is finalized by a format conversion system based on the specified format.

[0108] As a concrete example, consider a scenario where a citizen applies to the local government for permission to hold an event. In this case, the server analyzes similar past application data and automatically enters the necessary information for the application. Users can easily check details such as the date, number of participants, and equipment to be used.

[0109] An example of a prompt message is: "To develop an application that automatically generates city hall application forms and suggests necessary updates, please consider the following: analysis of past application documents, information presentation in the user interface, and automatic document generation using AI."

[0110] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0111] Step 1:

[0112] The server retrieves past application information from the database. During this process, it uses database queries to filter the relevant application data and takes the necessary set of information as input.

[0113] Step 2:

[0114] The server analyzes the acquired application document information using natural language processing technology. During the analysis process, a generative AI model is used to break down the text data grammatically, extract specific information such as applicant information and installation location, and output it as structured data.

[0115] Step 3:

[0116] The server compares the structured data obtained from the analysis with the latest application information database. Here, it uses information storage to verify the consistency of each attribute in order to identify information that needs updating. The output is a list of information that needs updating.

[0117] Step 4:

[0118] The server automatically generates the necessary application documents based on the identified update information. The document generation system uses a generation AI model to construct new application documents in real time. The output of this process is an application document that complies with the latest laws and regulations.

[0119] Step 5:

[0120] The terminal presents the generated application document to the user through the user interface. The presented document is reviewed and approved by the user. In this step, the generated document is used as input, and after user review, approval is output.

[0121] Step 6:

[0122] The server converts the approved documents into the final submission format. The format conversion mechanism rearranges and adjusts the formatting of the data based on the specified format. The final submittable application document is then output.

[0123] 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.

[0124] This invention is a system that streamlines the application process for permission to use administrative property when installing base stations on properties owned by local governments and administrative agencies. Furthermore, by combining it with an emotion engine that recognizes user emotions, it achieves a more user-friendly interaction. In this system, the server, terminal, and user cooperate with each other to automate the application process and adjust the content presented in the user interface according to the user's emotional state.

[0125] The server first retrieves past application documents from the database and analyzes them using a generation AI model. The analysis results are extracted as structured data, then compared with the latest database to detect items that need updating. During this process, the differences are calculated, and the changes are notified to the user via the terminal. The user reviews the changes via the terminal and selects the necessary documents. Based on the selected updates, the server generates a list of documents that need to be automatically generated and performs automatic generation using the AI ​​model. The user then reviews and approves the generated documents.

[0126] The device incorporates an emotion engine that recognizes the user's emotional state by analyzing their facial expressions and tone of voice. Based on this emotional state, the user interface dynamically adjusts to provide the most appropriate notifications and hints. For example, if the user is feeling stressed, the interface can simplify guidance and warning messages and provide supportive information.

[0127] For example, if a user is reviewing an application document and the device uses an emotion engine to determine that the user may be confused, the server can instruct the device to provide relevant FAQs or links to contact experts. This reduces stress for the user during the application process and allows them to complete the procedure more smoothly. This entire process streamlines the application process and improves the user experience.

[0128] The following describes the processing flow.

[0129] Step 1:

[0130] The server retrieves past application documents from the relevant database. This collects structured data based on the application content.

[0131] Step 2:

[0132] The server analyzes the application documents obtained using a generation AI model and extracts important items such as applicant information, installation location, and lease period.

[0133] Step 3:

[0134] The server compares the information obtained from the analysis with the latest database information and calculates the differences. It then lists the items that need updating.

[0135] Step 4:

[0136] The terminal notifies the user through the user interface based on the differential information received from the server. The user can then check the parts that need to be changed.

[0137] Step 5:

[0138] The user uses the terminal interface to select the items that need to be updated and sends a change request to the server.

[0139] Step 6:

[0140] The server verifies the user's selection and generates a list of any new application documents required. This list includes documents that need to be automatically generated.

[0141] Step 7:

[0142] The terminal displays a list of documents to the user, allowing the user to select the documents they need.

[0143] Step 8:

[0144] The user reviews the selected document and sends a generation request to the server.

[0145] Step 9:

[0146] The server automatically generates selected documents using an AI model and provides them with the latest information.

[0147] Step 10:

[0148] Devices equipped with an emotion engine analyze the user's facial expressions and voice to recognize their emotional state. Based on this information, the interface display is dynamically adjusted.

[0149] Step 11:

[0150] The user reviews the generated document and requests revisions as needed. If no revisions are required, they approve the document.

[0151] Step 12:

[0152] The server converts the approved documents into a submission format, completing the preparation of the application documents.

[0153] Step 13:

[0154] The terminal notifies the user that preparations are complete and prompts them to submit the application. The user then performs a final check and completes the application process.

[0155] (Example 2)

[0156] 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 will be referred to as the "terminal."

[0157] The application process for installing base stations on properties managed by government agencies is often complex and time-consuming. Furthermore, users can easily become stressed during the application process, which can hinder its smooth progress. These issues not only make the application process inefficient but also negatively impact the user experience.

[0158] 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.

[0159] In this invention, the server includes data processing means for analyzing past application data, a storage device for comparing the latest application data based on the analyzed data, and document creation means for identifying application data that needs updating and automatically generating the necessary documents. This automates the creation and updating of application documents, reducing user stress and enabling a smoother process.

[0160] "Past application data" refers to records of information submitted in the past, and is the data that will be analyzed.

[0161] "Data processing means" refers to devices or systems for analyzing digital information and extracting useful information.

[0162] A "storage device" is a device that can store digital information and retrieve it as needed.

[0163] "Document creation means" refers to devices or systems for generating digital documents based on a specific format.

[0164] A "user interface" is a device equipped with display and input means for enabling interaction with the user.

[0165] "Format conversion means" refers to a technology for converting the format of a document to another format.

[0166] "Emotion analysis means" refers to technology that detects and analyzes user emotions and is used to dynamically adjust the interface.

[0167] This invention is a system that streamlines the application process for installing base stations on properties managed by local governments and administrative agencies, and operates in cooperation with a server, terminal, and user. The server retrieves past application data from a database and processes it using software for data analysis. Specifically, it uses a generative AI model that enables natural language processing (for example, OpenAI's GPT or Google's BERT). The server analyzes the necessary information from past applications to generate structured data and identifies application data that needs updating by comparing it with the latest database.

[0168] The server further uses an AI model as a document creation tool to automatically generate the necessary documents. These automatically generated documents are sent to a terminal with a user interface for the user to review and approve. The terminal incorporates sentiment analysis capabilities to recognize the user's emotional state. This information is used to dynamically adjust the terminal's user interface and achieve user-friendly communication. For example, if the user is confused, the terminal suggests relevant FAQs and support information.

[0169] As a concrete example, consider the application process for installing a base station in a park managed by a local government. While the user is reviewing the contents of the application documents, the server analyzes past similar application data and automatically generates new application documents. An example of a prompt message would be, "Please generate new application documents based on past applications for base station installation in parks." This system streamlines the application process and significantly reduces the burden on the user.

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

[0171] Step 1:

[0172] The server retrieves past application data from databases of local governments and administrative agencies as input. This input data includes application details, applicant information, and approval status. The server preprocesses this data for analysis, preparing it to extract the necessary items. Specifically, it uses SQL queries to filter the data and format it for analysis.

[0173] Step 2:

[0174] The server analyzes the acquired application data using a generating AI model. The input is the application data prepared in Step 1, and by inputting prompts into the generating AI model, it extracts characteristics and important items from past applications. The output is structured data based on the analysis results. Specifically, by inputting prompts such as "Please extract the important items from this application," the AI ​​model lists the necessary items.

[0175] Step 3:

[0176] The server compares the structured data obtained in step 2 with the latest database. The inputs are the structured data and the latest data, and the server identifies the matches and mismatches. This process clarifies the items that need updating, and differential data is generated as output. Specifically, a Python script is used to calculate the difference between past and latest data, and the analysis results are visualized as a list.

[0177] Step 4:

[0178] Based on the differential data obtained in step 3, the server notifies the terminal of the changes by presenting the changes to the user via the user interface. The input is differential data, and the output is the change information visualized for the user. Specifically, a GUI that highlights the differences is used to clearly indicate the changes to the user.

[0179] Step 5:

[0180] The user checks the application items that need updating via their terminal and enters new information as needed. The input is the correction information provided by the user, and the output is new application data based on the updated information. Specifically, the user directly edits the correction items on the user interface and enters the new information.

[0181] Step 6:

[0182] The server automatically generates the necessary application documents using a document creation tool based on the new application data entered in step 5. The input is the new application data, and the output is the automatically generated application documents. Specifically, a prompt message, "Please generate new application documents," is sent to the AI ​​model, and the AI ​​creates the new documents.

[0183] Step 7:

[0184] The device uses emotion analysis to recognize the user's emotional state in real time. Input is sensor data from the camera and microphone, and output is the evaluation result of the user's emotional state. Specifically, it analyzes the user's facial expressions and voice, and dynamically adjusts the content displayed on the user interface. For example, if the user is feeling stressed, guidance messages will be displayed more concisely.

[0185] (Application Example 2)

[0186] 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 device 14 will be referred to as the "terminal."

[0187] The application process for permission to use government property presents challenges, as it requires applicants to manually prepare numerous documents and submit applications accurately according to the latest information, posing significant time and effort. Furthermore, application errors can occur due to a lack of understanding or misunderstanding of the information provided. Additionally, the lack of user-friendly interface adjustments can make the application process stressful.

[0188] 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.

[0189] In this invention, the server includes information processing means for analyzing past application information, data management means for comparing the latest application information based on the analyzed information, document generation means for identifying application information that needs updating and automatically generating the necessary documents, user interface means for presenting the generated documents to the user and obtaining their approval, and emotion recognition means for dynamically adjusting the user interface according to the user's emotional state. This makes it possible to streamline the application process and provide a comfortable operating environment that takes into account the user's emotions.

[0190] An "information processing device" is a device that analyzes past application information and organizes the results in a format that can be used in other processes.

[0191] A "data management device" is a device that efficiently manages and verifies the latest application information based on the analyzed information.

[0192] A "document generation means" is a device that automatically generates necessary documents based on identified application information that requires updating.

[0193] A "user interface means" refers to an operation screen or system that presents generated documents to the user in an easy-to-understand manner and obtains their approval.

[0194] A "format conversion device" is a device for converting approved documents into a format suitable for submission.

[0195] An "emotion recognition device" is a device that infers the user's emotional state from their facial expressions and tone of voice, and dynamically adjusts the interface based on that inference.

[0196] This invention is a system for streamlining the application process for permission to use administrative property by local governments and administrative agencies. It involves the coordinated operation of a server, terminals, and users, achieving automation of the application process and optimization of the interface through emotion recognition.

[0197] The server retrieves past application information from the database and analyzes it using information processing tools. This analysis utilizes a generative AI model using Python and TENSORFLOW® to extract necessary structured information from past application data. Based on the analysis results, the data management tools compare the data with the latest application information. This detects areas that need updating. The document generation tools identify the application information that needs updating and automatically generate the necessary documents.

[0198] The terminal functions as an interface with the user, assisting them in reviewing and approving generated documents. Crucial to this is emotion recognition, which uses the terminal's camera and microphone to capture facial expressions and voice, and then uses OpenCV or TensorFlow to determine emotional states. Based on this information, the terminal dynamically adjusts the user interface to provide an optimal user experience.

[0199] For example, if a user appears confused while reviewing application documents, the device can display a message such as, "Would you like us to provide hints regarding the completion of your application documents?" In this case, the server uses an AI model to document FAQ information and reference links and provides them as prompts.

[0200] An example of a prompt message would be, "Automatically generate a list of documents required for a local government's base station installation application. Please consider past application data and include proposals based on the latest laws and regulations." This approach contributes not only to increased efficiency but also to an improved user experience.

[0201] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0202] Step 1:

[0203] The server retrieves past application information from the database. The input is past application information from the database, and the output is information converted into a parseable data format. This information is analyzed using a generative AI model to extract the necessary structured data.

[0204] Step 2:

[0205] The server compares past application information, analyzed by a generation AI model, with the latest application information in the database. The input consists of the analyzed past application information and the latest database information, and the output is a list of application information that needs updating. The server then calculates the differences to clarify which parts need updating.

[0206] Step 3:

[0207] The server automatically generates the necessary documents based on identified updates using document generation tools. The input is a list of application information requiring updates, and the output is the newly generated documents. AI-powered document generation technology is used to create documents that reflect the information required for the application.

[0208] Step 4:

[0209] The terminal presents the generated document to the user and requests confirmation and approval. The input is the generated document, and the output is the user's confirmation and approval information. The user interface presents the information in the format preferred by the user.

[0210] Step 5:

[0211] The device uses emotion recognition to acquire the user's facial expressions and voice tone, and determines their emotional state. The input is the user's facial expressions and voice data, and the output is the determined emotional state. Based on this, the user interface is adjusted.

[0212] Step 6:

[0213] The device presents an interface tailored to the user's emotional state, offering hints and support information to reduce user stress. The input is the determined emotional state, and the output is the notifications and hints presented to the user. This process improves the user experience and facilitates smoother workflow.

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

[0215] Data generation model 58 is a 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.

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

[0217] [Second Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0230] This invention is a system for efficiently applying for permission to use administrative property when installing base stations on properties owned by local governments or administrative agencies. This system automates the application process through the mutual cooperation of server, terminal, and user elements.

[0231] First, the server retrieves past application documents from the database and analyzes them using a generative AI model. The analyzed information is categorized into applicant information, installation location, lease period, list of officers, etc., and extracted as structured data. Based on this extracted information, the server compares it with the latest application information database and detects items that need updating.

[0232] Next, the terminal notifies the user via the user interface of the information it received from the server that needs updating. The user can then select which items to update through the terminal. Based on the user's selection, the server generates a list of documents that need to be automatically generated and sends it to the terminal.

[0233] In the automated document generation process, the server uses an AI model to generate the necessary documents specified by the user, providing the user with documents that reflect the latest organizational and personnel information. The user reviews the generated documents displayed on their terminal and approves them if there are no problems with the content. The server then prepares the approved documents into the final submission format, completing the preparation of the application documents.

[0234] For example, when renewing a permit to use a base station installed at a municipal facility, the applicant's information may have changed since the last application. In this case, the server extracts the applicant's information from the previous application and compares it with the latest personnel data to identify the discrepancies. The terminal uses a user interface to inform the user of the discrepancies and presents a list of required documents. Once the user selects and approves the documents, the server automatically generates the application documents, converts them to the final format, and prepares them for submission. This enables users to complete the application process efficiently and quickly.

[0235] The following describes the processing flow.

[0236] Step 1:

[0237] The server connects to relevant databases, such as those of local governments, to retrieve past application documents. The retrieved data includes attributes such as applicant information, installation location, and lease period.

[0238] Step 2:

[0239] The server uses a generative AI model to analyze the acquired application documents. Based on the analysis results, it extracts the necessary information as classified and structured data.

[0240] Step 3:

[0241] The server compares the analyzed information with the latest database information to detect which items need updating. The differences include changes to applicant information, board member lists, and other similar data.

[0242] Step 4:

[0243] The terminal notifies the user of any updates received from the server. The relevant update items are displayed in a list through the user interface.

[0244] Step 5:

[0245] The user selects the items that need updating through the terminal screen and sends an update request to the server.

[0246] Step 6:

[0247] The server generates a list of newly required documents based on the updates selected by the user.

[0248] Step 7:

[0249] The terminal displays the generated list of documents to the user, allowing the user to select and confirm them.

[0250] Step 8:

[0251] The user selects the required documents from the list and requests the server to generate them.

[0252] Step 9:

[0253] The server automatically generates documents using an AI model based on the selected documents. The generated documents reflect the latest information.

[0254] Step 10:

[0255] The terminal presents the contents of the generated document to the user via a user interface. The user reviews the contents and approves it if there are no problems.

[0256] Step 11:

[0257] The server converts the approved documents into the final submission format and saves them as ready for submission.

[0258] Step 12:

[0259] The device notifies the user when the submission is ready and prompts for instructions to submit the application if necessary.

[0260] (Example 1)

[0261] 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."

[0262] When installing base stations on properties owned by local governments or administrative agencies, the application process for permission to use administrative property can be time-consuming and labor-intensive. In particular, the updating of application information and the automatic generation of application documents need to be handled efficiently. Furthermore, proper management and presentation of information are required to ensure accuracy while facilitating rapid approval. A system is needed to efficiently address these challenges.

[0263] 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.

[0264] In this invention, the server includes information processing means for analyzing past application information, means for identifying update items by comparing the analyzed information with the latest application database, display means for notifying the user of information that needs updating, generation means for automatically generating necessary documents based on the user's selection, interface means for approving the generated documents, and conversion means for formatting the approved documents into the final submission format. As a result, procedures related to applications for permission to use administrative property are carried out efficiently and quickly, and users are able to perform accurate and optimal application tasks.

[0265] "Information processing means" refers to a device or process for analyzing past application information and classifying and extracting necessary data.

[0266] A "matching means" is a device or process for comparing analyzed application information with the latest application database and identifying items that need updating.

[0267] "Display means" refers to an interface device or function that informs the user of information that needs updating.

[0268] "Generation means" refers to a process or engine for automatically creating documents based on the required items selected by the user.

[0269] "Interface means" refers to digital or physical means for a user to review and approve a generated document.

[0270] "Conversion means" refers to the process or device for formatting a document into its final submission format.

[0271] This invention provides a system in which a server, terminal, and user work together to streamline the application process for permission to use administrative property related to the installation of base stations on properties owned by local governments and administrative agencies.

[0272] The server functions as the core for information processing. Specifically, the server retrieves past application information from the database and analyzes this information using a generative AI model. The applicant information, installation location, lease period, and list of officers extracted through the analysis are compared with the latest database. The server then identifies items that need updating. A model using natural language processing technology is used as the generative AI model.

[0273] The terminal provides an interface for delivering information to the user. The terminal notifies the user through the user interface of items that need updating, which have been sent from the server. The user can then select which items to update and review the automatically generated documents via the terminal.

[0274] The user updates the necessary documents based on the information displayed on the terminal. Based on the document generation list selected by the user, the server automatically generates the necessary documents using an AI model. After the generated documents are reviewed and approved by the user, the server formats them into the final submission format.

[0275] As a concrete example of this system, consider the renewal of usage permits for base stations installed in municipal facilities. The server extracts necessary information from past applications and identifies discrepancies by comparing them with the latest information. The terminal notifies the user of this information, and the user can select the documents that need updating. The selected documents are automatically generated by the server and finally formatted for submission.

[0276] An example of a prompt message is: "Based on past application documents for permission to use administrative property, please identify any differences compared to the latest information and provide any documents that need to be updated."

[0277] This system allows users to submit applications for permission to use government property accurately and efficiently.

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

[0279] Step 1:

[0280] The server retrieves past application information from the database. The input is the vast amount of application document data stored in the database, and the output is the application information that meets specific periods or conditions. Specifically, the server executes an SQL query such as "SELECT FROM application_documents WHERE status='approved';", and retrieves the necessary application information in list form.

[0281] Step 2:

[0282] The server uses a generated AI model to analyze the retrieved application information. The input is the application information obtained in Step 1, and the output is the structured data generated by the analysis. In this analysis process, the AI model uses natural language processing to extract important information such as applicant information, installation location, borrowing period, etc. As a result, analysis results such as "extract the applicant name from the application form and summarize it in a list" are obtained.

[0283] Step 3:

[0284] The server compares the structured data with the latest application database and detects items that need to be updated. The input is the analyzed structured data, and the output is a list of items that need to be updated. In this process, the server calculates the difference between the old and new data, and performs specific operations such as "compare the new officer roster with the officer roster in the database to identify changes".

[0285] Step 4:

[0286] The terminal notifies the user of the list of items that need to be updated, which is the output from the server, through the user interface. The input is the list of updated items, and the output is the user's selection result. As a specific operation, the terminal provides a function of "displaying the items that need to be updated in a pop-up window and providing options to the user".

[0287] Step 5:

[0288] The user selects the necessary items via their terminal and sends them to the server. The server automatically generates the required documents based on the user's selections. The input is the result of the user's selection of items that need updating, and the output is the generated document. Specifically, the server performs the process of "generating a lease renewal application form using an AI generation model."

[0289] Step 6:

[0290] The server formats the generated document into the final submission format and sends it to the terminal. The input is an automatically generated document, and the output is a formatted submission document. Specifically, it performs actions such as "converting the generated document to PDF format and inserting an electronic signature."

[0291] Through these steps, the system efficiently and accurately supports the process of applying for permission to use government property.

[0292] (Application Example 1)

[0293] 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."

[0294] In traditional administrative procedures, many application documents required manual creation and updating, making it difficult to maintain accuracy, especially in environments where laws and regulations change frequently. Furthermore, the associated labor and time consumption were significant, posing a major challenge to expediting and streamlining procedures.

[0295] 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.

[0296] In this invention, the server includes information processing means for analyzing past application information, information storage means for comparing the latest application information based on the analyzed information, document generation means for identifying application information that needs updating and automatically generating the necessary documents, and application means for using a generation AI model. This makes it possible to significantly improve the accuracy and efficiency of information in the application procedure.

[0297] "Information processing means" is a general term for devices and technologies that collect and analyze past application information and extract and organize necessary data.

[0298] "Information storage means" refers to memory devices or technologies used to store analyzed information and compare it with the latest application information.

[0299] "Document generation means" refers to devices or technologies for identifying application information that needs updating and automatically generating the necessary documents.

[0300] "User guidance means" refers to the interface or technology used to present generated documents to users and obtain their approval.

[0301] "Format conversion means" refers to devices or technologies used to adjust an approved document into a format that can be finally submitted.

[0302] A "generative AI model" is an artificial intelligence model used to automatically input the contents of application documents and to reflect changes in laws and regulations.

[0303] The system that realizes this invention uses a combination of technologies to streamline the application process. The server uses information processing means to analyze past application information. This means retrieves past application documents from a database and analyzes their content using natural language processing technology. As a result of the analysis, the necessary data is extracted in a structured format and stored in an information storage means.

[0304] Next, the data stored in the information storage means is compared with the latest application information, and the parts that need to be updated are identified. In these processes, APIs such as Google Cloud AI and OpenAI are used, and the generative AI model is utilized to automatically generate documents. The document generation means corresponds to this, and creates a document reflecting the changes due to the latest laws and regulations.

[0305] The generated document is presented to the user through the user guidance means. In the user interface of the terminal, the user can check the content of the document and approve it if necessary. At this time, the information input by the user is finally adjusted by the format conversion means based on the specified format.

[0306] As a specific example, consider the scenario where a citizen applies to the local government for permission to hold an event. In this case, the server analyzes past similar application data and automatically enters the information required for the application. The user can easily check the schedule, number of people, and details of the facilities to be used.

[0307] An example of a prompt sentence is: "Please consider the following items to develop an app that automatically generates application forms for the city hall and proposes necessary updates: analysis of past application documents, information presentation in the user interface, and automatic document generation using AI."

[0308] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0309] Step 1:

[0310] The server retrieves past application document information from the database. At this time, a database query is used to filter the relevant application document data, and the required information set is taken in as input.

[0311] Step 2:

[0312] The server analyzes the acquired application document information using natural language processing technology. During the analysis process, a generative AI model is used to break down the text data grammatically, extract specific information such as applicant information and installation location, and output it as structured data.

[0313] Step 3:

[0314] The server compares the structured data obtained from the analysis with the latest application information database. Here, it uses information storage to verify the consistency of each attribute in order to identify information that needs updating. The output is a list of information that needs updating.

[0315] Step 4:

[0316] The server automatically generates the necessary application documents based on the identified update information. The document generation system uses a generation AI model to construct new application documents in real time. The output of this process is an application document that complies with the latest laws and regulations.

[0317] Step 5:

[0318] The terminal presents the generated application document to the user through the user interface. The presented document is reviewed and approved by the user. In this step, the generated document is used as input, and after user review, approval is output.

[0319] Step 6:

[0320] The server converts the approved documents into the final submission format. The format conversion mechanism rearranges and adjusts the formatting of the data based on the specified format. The final submittable application document is then output.

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

[0322] This invention is a system that streamlines the application process for permission to use administrative property when installing base stations on properties owned by local governments and administrative agencies. Furthermore, by combining it with an emotion engine that recognizes user emotions, it achieves a more user-friendly interaction. In this system, the server, terminal, and user cooperate with each other to automate the application process and adjust the content presented in the user interface according to the user's emotional state.

[0323] The server first retrieves past application documents from the database and analyzes them using a generation AI model. The analysis results are extracted as structured data, then compared with the latest database to detect items that need updating. During this process, the differences are calculated, and the changes are notified to the user via the terminal. The user reviews the changes via the terminal and selects the necessary documents. Based on the selected updates, the server generates a list of documents that need to be automatically generated and performs automatic generation using the AI ​​model. The user then reviews and approves the generated documents.

[0324] The device incorporates an emotion engine that recognizes the user's emotional state by analyzing their facial expressions and tone of voice. Based on this emotional state, the user interface dynamically adjusts to provide the most appropriate notifications and hints. For example, if the user is feeling stressed, the interface can simplify guidance and warning messages and provide supportive information.

[0325] For example, if a user is reviewing an application document and the device uses an emotion engine to determine that the user may be confused, the server can instruct the device to provide relevant FAQs or links to contact experts. This reduces stress for the user during the application process and allows them to complete the procedure more smoothly. This entire process streamlines the application process and improves the user experience.

[0326] The following describes the processing flow.

[0327] Step 1:

[0328] The server retrieves past application documents from the relevant database. This collects structured data based on the application content.

[0329] Step 2:

[0330] The server analyzes the application documents obtained using a generation AI model and extracts important items such as applicant information, installation location, and lease period.

[0331] Step 3:

[0332] The server compares the information obtained from the analysis with the latest database information and calculates the differences. It then lists the items that need updating.

[0333] Step 4:

[0334] The terminal notifies the user through the user interface based on the differential information received from the server. The user can then check the parts that need to be changed.

[0335] Step 5:

[0336] The user uses the terminal interface to select the items that need to be updated and sends a change request to the server.

[0337] Step 6:

[0338] The server verifies the user's selection and generates a list of any new application documents required. This list includes documents that need to be automatically generated.

[0339] Step 7:

[0340] The terminal displays a list of documents to the user, allowing the user to select the documents they need.

[0341] Step 8:

[0342] The user reviews the selected document and sends a generation request to the server.

[0343] Step 9:

[0344] The server automatically generates selected documents using an AI model and provides them with the latest information.

[0345] Step 10:

[0346] Devices equipped with an emotion engine analyze the user's facial expressions and voice to recognize their emotional state. Based on this information, the interface display is dynamically adjusted.

[0347] Step 11:

[0348] The user reviews the generated document and requests revisions as needed. If no revisions are required, they approve the document.

[0349] Step 12:

[0350] The server converts the approved documents into a submission format, completing the preparation of the application documents.

[0351] Step 13:

[0352] The terminal notifies the user that preparations are complete and prompts them to submit the application. The user then performs a final check and completes the application process.

[0353] (Example 2)

[0354] 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".

[0355] The application process for installing base stations on properties managed by government agencies is often complex and time-consuming. Furthermore, users can easily become stressed during the application process, which can hinder its smooth progress. These issues not only make the application process inefficient but also negatively impact the user experience.

[0356] 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.

[0357] In this invention, the server includes data processing means for analyzing past application data, a storage device for comparing the latest application data based on the analyzed data, and document creation means for identifying application data that needs updating and automatically generating the necessary documents. This automates the creation and updating of application documents, reducing user stress and enabling a smoother process.

[0358] "Past application data" refers to records of information submitted in the past, and is the data that will be analyzed.

[0359] "Data processing means" refers to devices or systems for analyzing digital information and extracting useful information.

[0360] A "storage device" is a device that can store digital information and retrieve it as needed.

[0361] "Document creation means" refers to devices or systems for generating digital documents based on a specific format.

[0362] A "user interface" is a device equipped with display and input means for enabling interaction with the user.

[0363] "Format conversion means" refers to a technology for converting the format of a document to another format.

[0364] "Emotion analysis means" refers to technology that detects and analyzes user emotions and is used to dynamically adjust the interface.

[0365] This invention is a system that streamlines the application process for installing base stations on properties managed by local governments and administrative agencies, and operates in cooperation with a server, terminal, and user. The server retrieves past application data from a database and processes it using software for data analysis. Specifically, it uses a generative AI model that enables natural language processing (for example, OpenAI's GPT or Google's BERT). The server analyzes the necessary information from past applications to generate structured data and identifies application data that needs updating by comparing it with the latest database.

[0366] The server further uses an AI model as a document creation tool to automatically generate the necessary documents. These automatically generated documents are sent to a terminal with a user interface for the user to review and approve. The terminal incorporates sentiment analysis capabilities to recognize the user's emotional state. This information is used to dynamically adjust the terminal's user interface and achieve user-friendly communication. For example, if the user is confused, the terminal suggests relevant FAQs and support information.

[0367] As a concrete example, consider the application process for installing a base station in a park managed by a local government. While the user is reviewing the contents of the application documents, the server analyzes past similar application data and automatically generates new application documents. An example of a prompt message would be, "Please generate new application documents based on past applications for base station installation in parks." This system streamlines the application process and significantly reduces the burden on the user.

[0368] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0369] Step 1:

[0370] The server retrieves past application data from databases of local governments and administrative agencies as input. This input data includes application details, applicant information, and approval status. The server preprocesses this data for analysis, preparing it to extract the necessary items. Specifically, it uses SQL queries to filter the data and format it for analysis.

[0371] Step 2:

[0372] The server analyzes the acquired application data using a generating AI model. The input is the application data prepared in Step 1, and by inputting prompts into the generating AI model, it extracts characteristics and important items from past applications. The output is structured data based on the analysis results. Specifically, by inputting prompts such as "Please extract the important items from this application," the AI ​​model lists the necessary items.

[0373] Step 3:

[0374] The server compares the structured data obtained in step 2 with the latest database. The inputs are the structured data and the latest data, and the server identifies the matches and mismatches. This process clarifies the items that need updating, and differential data is generated as output. Specifically, a Python script is used to calculate the difference between past and latest data, and the analysis results are visualized as a list.

[0375] Step 4:

[0376] Based on the differential data obtained in step 3, the server notifies the terminal of the changes by presenting the changes to the user via the user interface. The input is differential data, and the output is the change information visualized for the user. Specifically, a GUI that highlights the differences is used to clearly indicate the changes to the user.

[0377] Step 5:

[0378] The user checks the application items that need updating via their terminal and enters new information as needed. The input is the correction information provided by the user, and the output is new application data based on the updated information. Specifically, the user directly edits the correction items on the user interface and enters the new information.

[0379] Step 6:

[0380] The server automatically generates the necessary application documents using a document creation tool based on the new application data entered in step 5. The input is the new application data, and the output is the automatically generated application documents. Specifically, a prompt message, "Please generate new application documents," is sent to the AI ​​model, and the AI ​​creates the new documents.

[0381] Step 7:

[0382] The device uses emotion analysis to recognize the user's emotional state in real time. Input is sensor data from the camera and microphone, and output is the evaluation result of the user's emotional state. Specifically, it analyzes the user's facial expressions and voice, and dynamically adjusts the content displayed on the user interface. For example, if the user is feeling stressed, guidance messages will be displayed more concisely.

[0383] (Application Example 2)

[0384] 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."

[0385] The application process for permission to use government property presents challenges, as it requires applicants to manually prepare numerous documents and submit applications accurately according to the latest information, posing significant time and effort. Furthermore, application errors can occur due to a lack of understanding or misunderstanding of the information provided. Additionally, the lack of user-friendly interface adjustments can make the application process stressful.

[0386] 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.

[0387] In this invention, the server includes information processing means for analyzing past application information, data management means for comparing the latest application information based on the analyzed information, document generation means for identifying application information that needs updating and automatically generating the necessary documents, user interface means for presenting the generated documents to the user and obtaining their approval, and emotion recognition means for dynamically adjusting the user interface according to the user's emotional state. This makes it possible to streamline the application process and provide a comfortable operating environment that takes into account the user's emotions.

[0388] An "information processing device" is a device that analyzes past application information and organizes the results in a format that can be used in other processes.

[0389] A "data management device" is a device that efficiently manages and verifies the latest application information based on the analyzed information.

[0390] A "document generation means" is a device that automatically generates necessary documents based on identified application information that requires updating.

[0391] A "user interface means" refers to an operation screen or system that presents generated documents to the user in an easy-to-understand manner and obtains their approval.

[0392] A "format conversion device" is a device for converting approved documents into a format suitable for submission.

[0393] An "emotion recognition device" is a device that infers the user's emotional state from their facial expressions and tone of voice, and dynamically adjusts the interface based on that inference.

[0394] This invention is a system for streamlining the application process for permission to use administrative property by local governments and administrative agencies. It involves the coordinated operation of a server, terminals, and users, achieving automation of the application process and optimization of the interface through emotion recognition.

[0395] The server retrieves past application information from the database and analyzes it using information processing tools. This analysis utilizes generative AI models using Python and TensorFlow to extract necessary structured information from past application data. Based on the analysis results, the data management tools compare the data with the latest application information. This detects areas that need updating. The document generation tools identify the application information that needs updating and automatically generate the necessary documents.

[0396] The terminal functions as an interface with the user, assisting them in reviewing and approving generated documents. Crucial to this is emotion recognition, which uses the terminal's camera and microphone to capture facial expressions and voice, and then uses OpenCV or TensorFlow to determine emotional states. Based on this information, the terminal dynamically adjusts the user interface to provide an optimal user experience.

[0397] For example, if a user appears confused while reviewing application documents, the device can display a message such as, "Would you like us to provide hints regarding the completion of your application documents?" In this case, the server uses an AI model to document FAQ information and reference links and provides them as prompts.

[0398] An example of a prompt message would be, "Automatically generate a list of documents required for a local government's base station installation application. Please consider past application data and include proposals based on the latest laws and regulations." This approach contributes not only to increased efficiency but also to an improved user experience.

[0399] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0400] Step 1:

[0401] The server retrieves past application information from the database. The input is past application information from the database, and the output is information converted into a parseable data format. This information is analyzed using a generative AI model to extract the necessary structured data.

[0402] Step 2:

[0403] The server compares past application information, analyzed by a generation AI model, with the latest application information in the database. The input consists of the analyzed past application information and the latest database information, and the output is a list of application information that needs updating. The server then calculates the differences to clarify which parts need updating.

[0404] Step 3:

[0405] The server automatically generates the necessary documents based on identified updates using document generation tools. The input is a list of application information requiring updates, and the output is the newly generated documents. AI-powered document generation technology is used to create documents that reflect the information required for the application.

[0406] Step 4:

[0407] The terminal presents the generated document to the user and requests confirmation and approval. The input is the generated document, and the output is the user's confirmation and approval information. The user interface presents the information in the format preferred by the user.

[0408] Step 5:

[0409] The device uses emotion recognition to acquire the user's facial expressions and voice tone, and determines their emotional state. The input is the user's facial expressions and voice data, and the output is the determined emotional state. Based on this, the user interface is adjusted.

[0410] Step 6:

[0411] The device presents an interface tailored to the user's emotional state, offering hints and support information to reduce user stress. The input is the determined emotional state, and the output is the notifications and hints presented to the user. This process improves the user experience and facilitates smoother workflow.

[0412] 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.

[0413] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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.

[0414] 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.

[0415] [Third Embodiment]

[0416] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0417] 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.

[0418] 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).

[0419] 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.

[0420] 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.

[0421] 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).

[0422] 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.

[0423] 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.

[0424] 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.

[0425] 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.

[0426] 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.

[0427] 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".

[0428] This invention is a system for efficiently applying for permission to use administrative property when installing base stations on properties owned by local governments or administrative agencies. This system automates the application process through the mutual cooperation of server, terminal, and user elements.

[0429] First, the server retrieves past application documents from the database and analyzes them using a generative AI model. The analyzed information is categorized into applicant information, installation location, lease period, list of officers, etc., and extracted as structured data. Based on this extracted information, the server compares it with the latest application information database and detects items that need updating.

[0430] Next, the terminal notifies the user via the user interface of the information it received from the server that needs updating. The user can then select which items to update through the terminal. Based on the user's selection, the server generates a list of documents that need to be automatically generated and sends it to the terminal.

[0431] In the automated document generation process, the server uses an AI model to generate the necessary documents specified by the user, providing the user with documents that reflect the latest organizational and personnel information. The user reviews the generated documents displayed on their terminal and approves them if there are no problems with the content. The server then prepares the approved documents into the final submission format, completing the preparation of the application documents.

[0432] For example, when renewing a permit to use a base station installed at a municipal facility, the applicant's information may have changed since the last application. In this case, the server extracts the applicant's information from the previous application and compares it with the latest personnel data to identify the discrepancies. The terminal uses a user interface to inform the user of the discrepancies and presents a list of required documents. Once the user selects and approves the documents, the server automatically generates the application documents, converts them to the final format, and prepares them for submission. This enables users to complete the application process efficiently and quickly.

[0433] The following describes the processing flow.

[0434] Step 1:

[0435] The server connects to relevant databases, such as those of local governments, to retrieve past application documents. The retrieved data includes attributes such as applicant information, installation location, and lease period.

[0436] Step 2:

[0437] The server uses a generative AI model to analyze the acquired application documents. Based on the analysis results, it extracts the necessary information as classified and structured data.

[0438] Step 3:

[0439] The server compares the analyzed information with the latest database information to detect which items need updating. The differences include changes to applicant information, board member lists, and other similar data.

[0440] Step 4:

[0441] The terminal notifies the user of any updates received from the server. The relevant update items are displayed in a list through the user interface.

[0442] Step 5:

[0443] The user selects the items that need updating through the terminal screen and sends an update request to the server.

[0444] Step 6:

[0445] The server generates a list of newly required documents based on the updates selected by the user.

[0446] Step 7:

[0447] The terminal displays the generated list of documents to the user, allowing the user to select and confirm them.

[0448] Step 8:

[0449] The user selects the required documents from the list and requests the server to generate them.

[0450] Step 9:

[0451] The server automatically generates documents using an AI model based on the selected documents. The generated documents reflect the latest information.

[0452] Step 10:

[0453] The terminal presents the contents of the generated document to the user via a user interface. The user reviews the contents and approves it if there are no problems.

[0454] Step 11:

[0455] The server converts the approved documents into the final submission format and saves them as ready for submission.

[0456] Step 12:

[0457] The device notifies the user when the submission is ready and prompts for instructions to submit the application if necessary.

[0458] (Example 1)

[0459] 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."

[0460] When installing base stations on properties owned by local governments or administrative agencies, the application process for permission to use administrative property can be time-consuming and labor-intensive. In particular, the updating of application information and the automatic generation of application documents need to be handled efficiently. Furthermore, proper management and presentation of information are required to ensure accuracy while facilitating rapid approval. A system is needed to efficiently address these challenges.

[0461] 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.

[0462] In this invention, the server includes information processing means for analyzing past application information, means for identifying update items by comparing the analyzed information with the latest application database, display means for notifying the user of information that needs updating, generation means for automatically generating necessary documents based on the user's selection, interface means for approving the generated documents, and conversion means for formatting the approved documents into the final submission format. As a result, procedures related to applications for permission to use administrative property are carried out efficiently and quickly, and users are able to perform accurate and optimal application tasks.

[0463] "Information processing means" refers to a device or process for analyzing past application information and classifying and extracting necessary data.

[0464] A "matching means" is a device or process for comparing analyzed application information with the latest application database and identifying items that need updating.

[0465] "Display means" refers to an interface device or function that informs the user of information that needs updating.

[0466] "Generation means" refers to a process or engine for automatically creating documents based on the required items selected by the user.

[0467] "Interface means" refers to digital or physical means for a user to review and approve a generated document.

[0468] "Conversion means" refers to the process or device for formatting a document into its final submission format.

[0469] This invention provides a system in which a server, terminal, and user work together to streamline the application process for permission to use administrative property related to the installation of base stations on properties owned by local governments and administrative agencies.

[0470] The server functions as the core for information processing. Specifically, the server retrieves past application information from the database and analyzes this information using a generative AI model. The applicant information, installation location, lease period, and list of officers extracted through the analysis are compared with the latest database. The server then identifies items that need updating. A model using natural language processing technology is used as the generative AI model.

[0471] The terminal provides an interface for delivering information to the user. The terminal notifies the user through the user interface of items that need updating, which have been sent from the server. The user can then select which items to update and review the automatically generated documents via the terminal.

[0472] The user updates the necessary documents based on the information displayed on the terminal. Based on the document generation list selected by the user, the server automatically generates the necessary documents using an AI model. After the generated documents are reviewed and approved by the user, the server formats them into the final submission format.

[0473] As a concrete example of this system, consider the renewal of usage permits for base stations installed in municipal facilities. The server extracts necessary information from past applications and identifies discrepancies by comparing them with the latest information. The terminal notifies the user of this information, and the user can select the documents that need updating. The selected documents are automatically generated by the server and finally formatted for submission.

[0474] An example of a prompt message is: "Based on past application documents for permission to use administrative property, please identify any differences compared to the latest information and provide any documents that need to be updated."

[0475] This system allows users to submit applications for permission to use government property accurately and efficiently.

[0476] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0477] Step 1:

[0478] The server retrieves past application information from the database. The input is a vast amount of application document data stored in the database, and the output is application information that matches a specific period or condition. Specifically, the server executes an SQL query such as "SELECT FROM application_documents WHERE status='approved';" to retrieve the necessary application information in list format.

[0479] Step 2:

[0480] The server uses a generative AI model to analyze the acquired application information. The input is the application information acquired in step 1, and the output is structured data generated by the analysis. In this analysis process, the AI ​​model uses natural language processing to extract important information such as applicant information, installation location, and lease period. As a result, analysis results such as "extracting applicant names from the application form and compiling them into a list" are obtained.

[0481] Step 3:

[0482] The server compares the structured data with the latest application database to identify items that need updating. The input is the parsed structured data, and the output is a list of items that need updating. In this process, the server calculates the differences between the old and new data and performs specific actions such as "comparing the new list of officers with the list of officers in the database to identify the changes."

[0483] Step 4:

[0484] The terminal notifies the user, via the user interface, of a list of items that need updating, which is output from the server. The input is the list of items to update, and the output is the user's selection. Specifically, the terminal provides the function of "displaying the items that need updating in a pop-up and offering the user a choice."

[0485] Step 5:

[0486] The user selects the necessary items via their terminal and sends them to the server. The server automatically generates the required documents based on the user's selections. The input is the result of the user's selection of items that need updating, and the output is the generated document. Specifically, the server performs the process of "generating a lease renewal application form using an AI generation model."

[0487] Step 6:

[0488] The server formats the generated document into the final submission format and sends it to the terminal. The input is an automatically generated document, and the output is a formatted submission document. Specifically, it performs actions such as "converting the generated document to PDF format and inserting an electronic signature."

[0489] Through these steps, the system efficiently and accurately supports the process of applying for permission to use government property.

[0490] (Application Example 1)

[0491] 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."

[0492] In traditional administrative procedures, many application documents required manual creation and updating, making it difficult to maintain accuracy, especially in environments where laws and regulations change frequently. Furthermore, the associated labor and time consumption were significant, posing a major challenge to expediting and streamlining procedures.

[0493] 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.

[0494] In this invention, the server includes information processing means for analyzing past application information, information storage means for comparing the latest application information based on the analyzed information, document generation means for identifying application information that needs updating and automatically generating the necessary documents, and application means for using a generation AI model. This makes it possible to significantly improve the accuracy and efficiency of information in the application procedure.

[0495] "Information processing means" is a general term for devices and technologies that collect and analyze past application information and extract and organize necessary data.

[0496] "Information storage means" refers to memory devices or technologies used to store analyzed information and compare it with the latest application information.

[0497] "Document generation means" refers to devices or technologies for identifying application information that needs updating and automatically generating the necessary documents.

[0498] "User guidance means" refers to the interface or technology used to present generated documents to users and obtain their approval.

[0499] "Format conversion means" refers to devices or technologies used to adjust an approved document into a format that can be finally submitted.

[0500] A "generative AI model" is an artificial intelligence model used to automatically input the contents of application documents and to reflect changes in laws and regulations.

[0501] The system that realizes this invention uses a combination of technologies to streamline the application process. The server uses information processing means to analyze past application information. This means retrieves past application documents from a database and analyzes their content using natural language processing technology. As a result of the analysis, the necessary data is extracted in a structured format and stored in an information storage means.

[0502] Next, the data stored in the information storage device is compared with the latest application information, and any sections requiring updates are identified. These processes utilize APIs such as Google Cloud AI and OpenAI, and automated document generation is performed using generative AI models. The document generation device itself contributes to creating documents that reflect changes in the latest laws and regulations.

[0503] The generated document is presented to the user through a user guidance system. The terminal's user interface allows the user to review the document's contents and approve it as needed. At this stage, the information entered by the user is finalized by a format conversion system based on the specified format.

[0504] As a concrete example, consider a scenario where a citizen applies to the local government for permission to hold an event. In this case, the server analyzes similar past application data and automatically enters the necessary information for the application. Users can easily check details such as the date, number of participants, and equipment to be used.

[0505] An example of a prompt message is: "To develop an application that automatically generates city hall application forms and suggests necessary updates, please consider the following: analysis of past application documents, information presentation in the user interface, and automatic document generation using AI."

[0506] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0507] Step 1:

[0508] The server retrieves past application information from the database. During this process, it uses database queries to filter the relevant application data and takes the necessary set of information as input.

[0509] Step 2:

[0510] The server analyzes the acquired application document information using natural language processing technology. During the analysis process, a generative AI model is used to break down the text data grammatically, extract specific information such as applicant information and installation location, and output it as structured data.

[0511] Step 3:

[0512] The server compares the structured data obtained from the analysis with the latest application information database. Here, it uses information storage to verify the consistency of each attribute in order to identify information that needs updating. The output is a list of information that needs updating.

[0513] Step 4:

[0514] The server automatically generates the necessary application documents based on the identified update information. The document generation system uses a generation AI model to construct new application documents in real time. The output of this process is an application document that complies with the latest laws and regulations.

[0515] Step 5:

[0516] The terminal presents the generated application document to the user through the user interface. The presented document is reviewed and approved by the user. In this step, the generated document is used as input, and after user review, approval is output.

[0517] Step 6:

[0518] The server converts the approved documents into the final submission format. The format conversion mechanism rearranges and adjusts the formatting of the data based on the specified format. The final submittable application document is then output.

[0519] 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.

[0520] This invention is a system that streamlines the application process for permission to use administrative property when installing base stations on properties owned by local governments and administrative agencies. Furthermore, by combining it with an emotion engine that recognizes user emotions, it achieves a more user-friendly interaction. In this system, the server, terminal, and user cooperate with each other to automate the application process and adjust the content presented in the user interface according to the user's emotional state.

[0521] The server first retrieves past application documents from the database and analyzes them using a generation AI model. The analysis results are extracted as structured data, then compared with the latest database to detect items that need updating. During this process, the differences are calculated, and the changes are notified to the user via the terminal. The user reviews the changes via the terminal and selects the necessary documents. Based on the selected updates, the server generates a list of documents that need to be automatically generated and performs automatic generation using the AI ​​model. The user then reviews and approves the generated documents.

[0522] The device incorporates an emotion engine that recognizes the user's emotional state by analyzing their facial expressions and tone of voice. Based on this emotional state, the user interface dynamically adjusts to provide the most appropriate notifications and hints. For example, if the user is feeling stressed, the interface can simplify guidance and warning messages and provide supportive information.

[0523] For example, if a user is reviewing an application document and the device uses an emotion engine to determine that the user may be confused, the server can instruct the device to provide relevant FAQs or links to contact experts. This reduces stress for the user during the application process and allows them to complete the procedure more smoothly. This entire process streamlines the application process and improves the user experience.

[0524] The following describes the processing flow.

[0525] Step 1:

[0526] The server retrieves past application documents from the relevant database. This collects structured data based on the application content.

[0527] Step 2:

[0528] The server analyzes the application documents obtained using a generation AI model and extracts important items such as applicant information, installation location, and lease period.

[0529] Step 3:

[0530] The server compares the information obtained from the analysis with the latest database information and calculates the differences. It then lists the items that need updating.

[0531] Step 4:

[0532] The terminal notifies the user through the user interface based on the differential information received from the server. The user can then check the parts that need to be changed.

[0533] Step 5:

[0534] The user uses the terminal interface to select the items that need to be updated and sends a change request to the server.

[0535] Step 6:

[0536] The server verifies the user's selection and generates a list of any new application documents required. This list includes documents that need to be automatically generated.

[0537] Step 7:

[0538] The terminal displays a list of documents to the user, allowing the user to select the documents they need.

[0539] Step 8:

[0540] The user reviews the selected document and sends a generation request to the server.

[0541] Step 9:

[0542] The server automatically generates selected documents using an AI model and provides them with the latest information.

[0543] Step 10:

[0544] Devices equipped with an emotion engine analyze the user's facial expressions and voice to recognize their emotional state. Based on this information, the interface display is dynamically adjusted.

[0545] Step 11:

[0546] The user reviews the generated document and requests revisions as needed. If no revisions are required, they approve the document.

[0547] Step 12:

[0548] The server converts the approved documents into a submission format, completing the preparation of the application documents.

[0549] Step 13:

[0550] The terminal notifies the user that preparations are complete and prompts them to submit the application. The user then performs a final check and completes the application process.

[0551] (Example 2)

[0552] 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."

[0553] The application process for installing base stations on properties managed by government agencies is often complex and time-consuming. Furthermore, users can easily become stressed during the application process, which can hinder its smooth progress. These issues not only make the application process inefficient but also negatively impact the user experience.

[0554] 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.

[0555] In this invention, the server includes data processing means for analyzing past application data, a storage device for comparing the latest application data based on the analyzed data, and document creation means for identifying application data that needs updating and automatically generating the necessary documents. This automates the creation and updating of application documents, reducing user stress and enabling a smoother process.

[0556] "Past application data" refers to records of information submitted in the past, and is the data that will be analyzed.

[0557] "Data processing means" refers to devices or systems for analyzing digital information and extracting useful information.

[0558] A "storage device" is a device that can store digital information and retrieve it as needed.

[0559] "Document creation means" refers to devices or systems for generating digital documents based on a specific format.

[0560] A "user interface" is a device equipped with display and input means for enabling interaction with the user.

[0561] "Format conversion means" refers to a technology for converting the format of a document to another format.

[0562] "Emotion analysis means" refers to technology that detects and analyzes user emotions and is used to dynamically adjust the interface.

[0563] This invention is a system that streamlines the application process for installing base stations on properties managed by local governments and administrative agencies, and operates in cooperation with a server, terminal, and user. The server retrieves past application data from a database and processes it using software for data analysis. Specifically, it uses a generative AI model that enables natural language processing (for example, OpenAI's GPT or Google's BERT). The server analyzes the necessary information from past applications to generate structured data and identifies application data that needs updating by comparing it with the latest database.

[0564] The server further uses an AI model as a document creation tool to automatically generate the necessary documents. These automatically generated documents are sent to a terminal with a user interface for the user to review and approve. The terminal incorporates sentiment analysis capabilities to recognize the user's emotional state. This information is used to dynamically adjust the terminal's user interface and achieve user-friendly communication. For example, if the user is confused, the terminal suggests relevant FAQs and support information.

[0565] As a concrete example, consider the application process for installing a base station in a park managed by a local government. While the user is reviewing the contents of the application documents, the server analyzes past similar application data and automatically generates new application documents. An example of a prompt message would be, "Please generate new application documents based on past applications for base station installation in parks." This system streamlines the application process and significantly reduces the burden on the user.

[0566] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0567] Step 1:

[0568] The server retrieves past application data from databases of local governments and administrative agencies as input. This input data includes application details, applicant information, and approval status. The server preprocesses this data for analysis, preparing it to extract the necessary items. Specifically, it uses SQL queries to filter the data and format it for analysis.

[0569] Step 2:

[0570] The server analyzes the acquired application data using a generating AI model. The input is the application data prepared in Step 1, and by inputting prompts into the generating AI model, it extracts characteristics and important items from past applications. The output is structured data based on the analysis results. Specifically, by inputting prompts such as "Please extract the important items from this application," the AI ​​model lists the necessary items.

[0571] Step 3:

[0572] The server compares the structured data obtained in step 2 with the latest database. The inputs are the structured data and the latest data, and the server identifies the matches and mismatches. This process clarifies the items that need updating, and differential data is generated as output. Specifically, a Python script is used to calculate the difference between past and latest data, and the analysis results are visualized as a list.

[0573] Step 4:

[0574] Based on the differential data obtained in step 3, the server notifies the terminal of the changes by presenting the changes to the user via the user interface. The input is differential data, and the output is the change information visualized for the user. Specifically, a GUI that highlights the differences is used to clearly indicate the changes to the user.

[0575] Step 5:

[0576] The user checks the application items that need updating via their terminal and enters new information as needed. The input is the correction information provided by the user, and the output is new application data based on the updated information. Specifically, the user directly edits the correction items on the user interface and enters the new information.

[0577] Step 6:

[0578] The server automatically generates the necessary application documents using a document creation tool based on the new application data entered in step 5. The input is the new application data, and the output is the automatically generated application documents. Specifically, a prompt message, "Please generate new application documents," is sent to the AI ​​model, and the AI ​​creates the new documents.

[0579] Step 7:

[0580] The device uses emotion analysis to recognize the user's emotional state in real time. Input is sensor data from the camera and microphone, and output is the evaluation result of the user's emotional state. Specifically, it analyzes the user's facial expressions and voice, and dynamically adjusts the content displayed on the user interface. For example, if the user is feeling stressed, guidance messages will be displayed more concisely.

[0581] (Application Example 2)

[0582] 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."

[0583] The application process for permission to use government property presents challenges, as it requires applicants to manually prepare numerous documents and submit applications accurately according to the latest information, posing significant time and effort. Furthermore, application errors can occur due to a lack of understanding or misunderstanding of the information provided. Additionally, the lack of user-friendly interface adjustments can make the application process stressful.

[0584] 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.

[0585] In this invention, the server includes information processing means for analyzing past application information, data management means for comparing the latest application information based on the analyzed information, document generation means for identifying application information that needs updating and automatically generating the necessary documents, user interface means for presenting the generated documents to the user and obtaining their approval, and emotion recognition means for dynamically adjusting the user interface according to the user's emotional state. This makes it possible to streamline the application process and provide a comfortable operating environment that takes into account the user's emotions.

[0586] An "information processing device" is a device that analyzes past application information and organizes the results in a format that can be used in other processes.

[0587] A "data management device" is a device that efficiently manages and verifies the latest application information based on the analyzed information.

[0588] A "document generation means" is a device that automatically generates necessary documents based on identified application information that requires updating.

[0589] A "user interface means" refers to an operation screen or system that presents generated documents to the user in an easy-to-understand manner and obtains their approval.

[0590] A "format conversion device" is a device for converting approved documents into a format suitable for submission.

[0591] An "emotion recognition device" is a device that infers the user's emotional state from their facial expressions and tone of voice, and dynamically adjusts the interface based on that inference.

[0592] This invention is a system for streamlining the application process for permission to use administrative property by local governments and administrative agencies. It involves the coordinated operation of a server, terminals, and users, achieving automation of the application process and optimization of the interface through emotion recognition.

[0593] The server retrieves past application information from the database and analyzes it using information processing tools. This analysis utilizes generative AI models using Python and TensorFlow to extract necessary structured information from past application data. Based on the analysis results, the data management tools compare the data with the latest application information. This detects areas that need updating. The document generation tools identify the application information that needs updating and automatically generate the necessary documents.

[0594] The terminal functions as an interface with the user, assisting them in reviewing and approving generated documents. Crucial to this is emotion recognition, which uses the terminal's camera and microphone to capture facial expressions and voice, and then uses OpenCV or TensorFlow to determine emotional states. Based on this information, the terminal dynamically adjusts the user interface to provide an optimal user experience.

[0595] For example, if a user appears confused while reviewing application documents, the device can display a message such as, "Would you like us to provide hints regarding the completion of your application documents?" In this case, the server uses an AI model to document FAQ information and reference links and provides them as prompts.

[0596] An example of a prompt message would be, "Automatically generate a list of documents required for a local government's base station installation application. Please consider past application data and include proposals based on the latest laws and regulations." This approach contributes not only to increased efficiency but also to an improved user experience.

[0597] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0598] Step 1:

[0599] The server retrieves past application information from the database. The input is past application information from the database, and the output is information converted into a parseable data format. This information is analyzed using a generative AI model to extract the necessary structured data.

[0600] Step 2:

[0601] The server compares past application information, analyzed by a generation AI model, with the latest application information in the database. The input consists of the analyzed past application information and the latest database information, and the output is a list of application information that needs updating. The server then calculates the differences to clarify which parts need updating.

[0602] Step 3:

[0603] The server automatically generates the necessary documents based on identified updates using document generation tools. The input is a list of application information requiring updates, and the output is the newly generated documents. AI-powered document generation technology is used to create documents that reflect the information required for the application.

[0604] Step 4:

[0605] The terminal presents the generated document to the user and requests confirmation and approval. The input is the generated document, and the output is the user's confirmation and approval information. The user interface presents the information in the format preferred by the user.

[0606] Step 5:

[0607] The device uses emotion recognition to acquire the user's facial expressions and voice tone, and determines their emotional state. The input is the user's facial expressions and voice data, and the output is the determined emotional state. Based on this, the user interface is adjusted.

[0608] Step 6:

[0609] The device presents an interface tailored to the user's emotional state, offering hints and support information to reduce user stress. The input is the determined emotional state, and the output is the notifications and hints presented to the user. This process improves the user experience and facilitates smoother workflow.

[0610] 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.

[0611] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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.

[0612] 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.

[0613] [Fourth Embodiment]

[0614] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0615] 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.

[0616] 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).

[0617] 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.

[0618] 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.

[0619] 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).

[0620] 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.

[0621] 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.

[0622] 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.

[0623] 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.

[0624] 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.

[0625] 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.

[0626] 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".

[0627] This invention is a system for efficiently applying for permission to use administrative property when installing base stations on properties owned by local governments or administrative agencies. This system automates the application process through the mutual cooperation of server, terminal, and user elements.

[0628] First, the server retrieves past application documents from the database and analyzes them using a generative AI model. The analyzed information is categorized into applicant information, installation location, lease period, list of officers, etc., and extracted as structured data. Based on this extracted information, the server compares it with the latest application information database and detects items that need updating.

[0629] Next, the terminal notifies the user via the user interface of the information it received from the server that needs updating. The user can then select which items to update through the terminal. Based on the user's selection, the server generates a list of documents that need to be automatically generated and sends it to the terminal.

[0630] In the automated document generation process, the server uses an AI model to generate the necessary documents specified by the user, providing the user with documents that reflect the latest organizational and personnel information. The user reviews the generated documents displayed on their terminal and approves them if there are no problems with the content. The server then prepares the approved documents into the final submission format, completing the preparation of the application documents.

[0631] For example, when renewing a permit to use a base station installed at a municipal facility, the applicant's information may have changed since the last application. In this case, the server extracts the applicant's information from the previous application and compares it with the latest personnel data to identify the discrepancies. The terminal uses a user interface to inform the user of the discrepancies and presents a list of required documents. Once the user selects and approves the documents, the server automatically generates the application documents, converts them to the final format, and prepares them for submission. This enables users to complete the application process efficiently and quickly.

[0632] The following describes the processing flow.

[0633] Step 1:

[0634] The server connects to relevant databases, such as those of local governments, to retrieve past application documents. The retrieved data includes attributes such as applicant information, installation location, and lease period.

[0635] Step 2:

[0636] The server uses a generative AI model to analyze the acquired application documents. Based on the analysis results, it extracts the necessary information as classified and structured data.

[0637] Step 3:

[0638] The server compares the analyzed information with the latest database information to detect which items need updating. The differences include changes to applicant information, board member lists, and other similar data.

[0639] Step 4:

[0640] The terminal notifies the user of any updates received from the server. The relevant update items are displayed in a list through the user interface.

[0641] Step 5:

[0642] The user selects the items that need updating through the terminal screen and sends an update request to the server.

[0643] Step 6:

[0644] The server generates a list of newly required documents based on the updates selected by the user.

[0645] Step 7:

[0646] The terminal displays the generated list of documents to the user, allowing the user to select and confirm them.

[0647] Step 8:

[0648] The user selects the required documents from the list and requests the server to generate them.

[0649] Step 9:

[0650] The server automatically generates documents using an AI model based on the selected documents. The generated documents reflect the latest information.

[0651] Step 10:

[0652] The terminal presents the contents of the generated document to the user via a user interface. The user reviews the contents and approves it if there are no problems.

[0653] Step 11:

[0654] The server converts the approved documents into the final submission format and saves them as ready for submission.

[0655] Step 12:

[0656] The device notifies the user when the submission is ready and prompts for instructions to submit the application if necessary.

[0657] (Example 1)

[0658] 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".

[0659] When installing base stations on properties owned by local governments or administrative agencies, the application process for permission to use administrative property can be time-consuming and labor-intensive. In particular, the updating of application information and the automatic generation of application documents need to be handled efficiently. Furthermore, proper management and presentation of information are required to ensure accuracy while facilitating rapid approval. A system is needed to efficiently address these challenges.

[0660] 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.

[0661] In this invention, the server includes information processing means for analyzing past application information, means for identifying update items by comparing the analyzed information with the latest application database, display means for notifying the user of information that needs updating, generation means for automatically generating necessary documents based on the user's selection, interface means for approving the generated documents, and conversion means for formatting the approved documents into the final submission format. As a result, procedures related to applications for permission to use administrative property are carried out efficiently and quickly, and users are able to perform accurate and optimal application tasks.

[0662] "Information processing means" refers to a device or process for analyzing past application information and classifying and extracting necessary data.

[0663] A "matching means" is a device or process for comparing analyzed application information with the latest application database and identifying items that need updating.

[0664] "Display means" refers to an interface device or function that informs the user of information that needs updating.

[0665] "Generation means" refers to a process or engine for automatically creating documents based on the required items selected by the user.

[0666] "Interface means" refers to digital or physical means for a user to review and approve a generated document.

[0667] "Conversion means" refers to the process or device for formatting a document into its final submission format.

[0668] This invention provides a system in which a server, terminal, and user work together to streamline the application process for permission to use administrative property related to the installation of base stations on properties owned by local governments and administrative agencies.

[0669] The server functions as the core for information processing. Specifically, the server retrieves past application information from the database and analyzes this information using a generative AI model. The applicant information, installation location, lease period, and list of officers extracted through the analysis are compared with the latest database. The server then identifies items that need updating. A model using natural language processing technology is used as the generative AI model.

[0670] The terminal provides an interface for delivering information to the user. The terminal notifies the user through the user interface of items that need updating, which have been sent from the server. The user can then select which items to update and review the automatically generated documents via the terminal.

[0671] The user updates the necessary documents based on the information displayed on the terminal. Based on the document generation list selected by the user, the server automatically generates the necessary documents using an AI model. After the generated documents are reviewed and approved by the user, the server formats them into the final submission format.

[0672] As a concrete example of this system, consider the renewal of usage permits for base stations installed in municipal facilities. The server extracts necessary information from past applications and identifies discrepancies by comparing them with the latest information. The terminal notifies the user of this information, and the user can select the documents that need updating. The selected documents are automatically generated by the server and finally formatted for submission.

[0673] An example of a prompt message is: "Based on past application documents for permission to use administrative property, please identify any differences compared to the latest information and provide any documents that need to be updated."

[0674] This system allows users to submit applications for permission to use government property accurately and efficiently.

[0675] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0676] Step 1:

[0677] The server retrieves past application information from the database. The input is a vast amount of application document data stored in the database, and the output is application information that matches a specific period or condition. Specifically, the server executes an SQL query such as "SELECT FROM application_documents WHERE status='approved';" to retrieve the necessary application information in list format.

[0678] Step 2:

[0679] The server uses a generative AI model to analyze the acquired application information. The input is the application information acquired in step 1, and the output is structured data generated by the analysis. In this analysis process, the AI ​​model uses natural language processing to extract important information such as applicant information, installation location, and lease period. As a result, analysis results such as "extracting applicant names from the application form and compiling them into a list" are obtained.

[0680] Step 3:

[0681] The server compares the structured data with the latest application database to identify items that need updating. The input is the parsed structured data, and the output is a list of items that need updating. In this process, the server calculates the differences between the old and new data and performs specific actions such as "comparing the new list of officers with the list of officers in the database to identify the changes."

[0682] Step 4:

[0683] The terminal notifies the user, via the user interface, of a list of items that need updating, which is output from the server. The input is the list of items to update, and the output is the user's selection. Specifically, the terminal provides the function of "displaying the items that need updating in a pop-up and offering the user a choice."

[0684] Step 5:

[0685] The user selects the necessary items via their terminal and sends them to the server. The server automatically generates the required documents based on the user's selections. The input is the result of the user's selection of items that need updating, and the output is the generated document. Specifically, the server performs the process of "generating a lease renewal application form using an AI generation model."

[0686] Step 6:

[0687] The server formats the generated document into the final submission format and sends it to the terminal. The input is an automatically generated document, and the output is a formatted submission document. Specifically, it performs actions such as "converting the generated document to PDF format and inserting an electronic signature."

[0688] Through these steps, the system efficiently and accurately supports the process of applying for permission to use government property.

[0689] (Application Example 1)

[0690] 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".

[0691] In traditional administrative procedures, many application documents required manual creation and updating, making it difficult to maintain accuracy, especially in environments where laws and regulations change frequently. Furthermore, the associated labor and time consumption were significant, posing a major challenge to expediting and streamlining procedures.

[0692] 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.

[0693] In this invention, the server includes information processing means for analyzing past application information, information storage means for comparing the latest application information based on the analyzed information, document generation means for identifying application information that needs updating and automatically generating the necessary documents, and application means for using a generation AI model. This makes it possible to significantly improve the accuracy and efficiency of information in the application procedure.

[0694] "Information processing means" is a general term for devices and technologies that collect and analyze past application information and extract and organize necessary data.

[0695] "Information storage means" refers to memory devices or technologies used to store analyzed information and compare it with the latest application information.

[0696] "Document generation means" refers to devices or technologies for identifying application information that needs updating and automatically generating the necessary documents.

[0697] "User guidance means" refers to the interface or technology used to present generated documents to users and obtain their approval.

[0698] "Format conversion means" refers to devices or technologies used to adjust an approved document into a format that can be finally submitted.

[0699] A "generative AI model" is an artificial intelligence model used to automatically input the contents of application documents and to reflect changes in laws and regulations.

[0700] The system that realizes this invention uses a combination of technologies to streamline the application process. The server uses information processing means to analyze past application information. This means retrieves past application documents from a database and analyzes their content using natural language processing technology. As a result of the analysis, the necessary data is extracted in a structured format and stored in an information storage means.

[0701] Next, the data stored in the information storage device is compared with the latest application information, and any sections requiring updates are identified. These processes utilize APIs such as Google Cloud AI and OpenAI, and automated document generation is performed using generative AI models. The document generation device itself contributes to creating documents that reflect changes in the latest laws and regulations.

[0702] The generated document is presented to the user through a user guidance system. The terminal's user interface allows the user to review the document's contents and approve it as needed. At this stage, the information entered by the user is finalized by a format conversion system based on the specified format.

[0703] As a concrete example, consider a scenario where a citizen applies to the local government for permission to hold an event. In this case, the server analyzes similar past application data and automatically enters the necessary information for the application. Users can easily check details such as the date, number of participants, and equipment to be used.

[0704] An example of a prompt message is: "To develop an application that automatically generates city hall application forms and suggests necessary updates, please consider the following: analysis of past application documents, information presentation in the user interface, and automatic document generation using AI."

[0705] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0706] Step 1:

[0707] The server retrieves past application information from the database. During this process, it uses database queries to filter the relevant application data and takes the necessary set of information as input.

[0708] Step 2:

[0709] The server analyzes the acquired application document information using natural language processing technology. During the analysis process, a generative AI model is used to break down the text data grammatically, extract specific information such as applicant information and installation location, and output it as structured data.

[0710] Step 3:

[0711] The server compares the structured data obtained from the analysis with the latest application information database. Here, it uses information storage to verify the consistency of each attribute in order to identify information that needs updating. The output is a list of information that needs updating.

[0712] Step 4:

[0713] The server automatically generates the necessary application documents based on the identified update information. The document generation system uses a generation AI model to construct new application documents in real time. The output of this process is an application document that complies with the latest laws and regulations.

[0714] Step 5:

[0715] The terminal presents the generated application document to the user through the user interface. The presented document is reviewed and approved by the user. In this step, the generated document is used as input, and after user review, approval is output.

[0716] Step 6:

[0717] The server converts the approved documents into the final submission format. The format conversion mechanism rearranges and adjusts the formatting of the data based on the specified format. The final submittable application document is then output.

[0718] 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.

[0719] This invention is a system that streamlines the application process for permission to use administrative property when installing base stations on properties owned by local governments and administrative agencies. Furthermore, by combining it with an emotion engine that recognizes user emotions, it achieves a more user-friendly interaction. In this system, the server, terminal, and user cooperate with each other to automate the application process and adjust the content presented in the user interface according to the user's emotional state.

[0720] The server first retrieves past application documents from the database and analyzes them using a generation AI model. The analysis results are extracted as structured data, then compared with the latest database to detect items that need updating. During this process, the differences are calculated, and the changes are notified to the user via the terminal. The user reviews the changes via the terminal and selects the necessary documents. Based on the selected updates, the server generates a list of documents that need to be automatically generated and performs automatic generation using the AI ​​model. The user then reviews and approves the generated documents.

[0721] The device incorporates an emotion engine that recognizes the user's emotional state by analyzing their facial expressions and tone of voice. Based on this emotional state, the user interface dynamically adjusts to provide the most appropriate notifications and hints. For example, if the user is feeling stressed, the interface can simplify guidance and warning messages and provide supportive information.

[0722] For example, if a user is reviewing an application document and the device uses an emotion engine to determine that the user may be confused, the server can instruct the device to provide relevant FAQs or links to contact experts. This reduces stress for the user during the application process and allows them to complete the procedure more smoothly. This entire process streamlines the application process and improves the user experience.

[0723] The following describes the processing flow.

[0724] Step 1:

[0725] The server retrieves past application documents from the relevant database. This collects structured data based on the application content.

[0726] Step 2:

[0727] The server analyzes the application documents obtained using a generation AI model and extracts important items such as applicant information, installation location, and lease period.

[0728] Step 3:

[0729] The server compares the information obtained from the analysis with the latest database information and calculates the differences. It then lists the items that need updating.

[0730] Step 4:

[0731] The terminal notifies the user through the user interface based on the differential information received from the server. The user can then check the parts that need to be changed.

[0732] Step 5:

[0733] The user uses the terminal interface to select the items that need to be updated and sends a change request to the server.

[0734] Step 6:

[0735] The server verifies the user's selection and generates a list of any new application documents required. This list includes documents that need to be automatically generated.

[0736] Step 7:

[0737] The terminal displays a list of documents to the user, allowing the user to select the documents they need.

[0738] Step 8:

[0739] The user reviews the selected document and sends a generation request to the server.

[0740] Step 9:

[0741] The server automatically generates selected documents using an AI model and provides them with the latest information.

[0742] Step 10:

[0743] Devices equipped with an emotion engine analyze the user's facial expressions and voice to recognize their emotional state. Based on this information, the interface display is dynamically adjusted.

[0744] Step 11:

[0745] The user reviews the generated document and requests revisions as needed. If no revisions are required, they approve the document.

[0746] Step 12:

[0747] The server converts the approved documents into a submission format, completing the preparation of the application documents.

[0748] Step 13:

[0749] The terminal notifies the user that preparations are complete and prompts them to submit the application. The user then performs a final check and completes the application process.

[0750] (Example 2)

[0751] 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".

[0752] The application process for installing base stations on properties managed by government agencies is often complex and time-consuming. Furthermore, users can easily become stressed during the application process, which can hinder its smooth progress. These issues not only make the application process inefficient but also negatively impact the user experience.

[0753] 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.

[0754] In this invention, the server includes data processing means for analyzing past application data, a storage device for comparing the latest application data based on the analyzed data, and document creation means for identifying application data that needs updating and automatically generating the necessary documents. This automates the creation and updating of application documents, reducing user stress and enabling a smoother process.

[0755] "Past application data" refers to records of information submitted in the past, and is the data that will be analyzed.

[0756] "Data processing means" refers to devices or systems for analyzing digital information and extracting useful information.

[0757] A "storage device" is a device that can store digital information and retrieve it as needed.

[0758] "Document creation means" refers to devices or systems for generating digital documents based on a specific format.

[0759] A "user interface" is a device equipped with display and input means for enabling interaction with the user.

[0760] "Format conversion means" refers to a technology for converting the format of a document to another format.

[0761] "Emotion analysis means" refers to technology that detects and analyzes user emotions and is used to dynamically adjust the interface.

[0762] This invention is a system that streamlines the application process for installing base stations on properties managed by local governments and administrative agencies, and operates in cooperation with a server, terminal, and user. The server retrieves past application data from a database and processes it using software for data analysis. Specifically, it uses a generative AI model that enables natural language processing (for example, OpenAI's GPT or Google's BERT). The server analyzes the necessary information from past applications to generate structured data and identifies application data that needs updating by comparing it with the latest database.

[0763] The server further uses an AI model as a document creation tool to automatically generate the necessary documents. These automatically generated documents are sent to a terminal with a user interface for the user to review and approve. The terminal incorporates sentiment analysis capabilities to recognize the user's emotional state. This information is used to dynamically adjust the terminal's user interface and achieve user-friendly communication. For example, if the user is confused, the terminal suggests relevant FAQs and support information.

[0764] As a concrete example, consider the application process for installing a base station in a park managed by a local government. While the user is reviewing the contents of the application documents, the server analyzes past similar application data and automatically generates new application documents. An example of a prompt message would be, "Please generate new application documents based on past applications for base station installation in parks." This system streamlines the application process and significantly reduces the burden on the user.

[0765] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0766] Step 1:

[0767] The server retrieves past application data from databases of local governments and administrative agencies as input. This input data includes application details, applicant information, and approval status. The server preprocesses this data for analysis, preparing it to extract the necessary items. Specifically, it uses SQL queries to filter the data and format it for analysis.

[0768] Step 2:

[0769] The server analyzes the acquired application data using a generating AI model. The input is the application data prepared in Step 1, and by inputting prompts into the generating AI model, it extracts characteristics and important items from past applications. The output is structured data based on the analysis results. Specifically, by inputting prompts such as "Please extract the important items from this application," the AI ​​model lists the necessary items.

[0770] Step 3:

[0771] The server compares the structured data obtained in step 2 with the latest database. The inputs are the structured data and the latest data, and the server identifies the matches and mismatches. This process clarifies the items that need updating, and differential data is generated as output. Specifically, a Python script is used to calculate the difference between past and latest data, and the analysis results are visualized as a list.

[0772] Step 4:

[0773] Based on the differential data obtained in step 3, the server notifies the terminal of the changes by presenting the changes to the user via the user interface. The input is differential data, and the output is the change information visualized for the user. Specifically, a GUI that highlights the differences is used to clearly indicate the changes to the user.

[0774] Step 5:

[0775] The user checks the application items that need updating via their terminal and enters new information as needed. The input is the correction information provided by the user, and the output is new application data based on the updated information. Specifically, the user directly edits the correction items on the user interface and enters the new information.

[0776] Step 6:

[0777] The server automatically generates the necessary application documents using a document creation tool based on the new application data entered in step 5. The input is the new application data, and the output is the automatically generated application documents. Specifically, a prompt message, "Please generate new application documents," is sent to the AI ​​model, and the AI ​​creates the new documents.

[0778] Step 7:

[0779] The device uses emotion analysis to recognize the user's emotional state in real time. Input is sensor data from the camera and microphone, and output is the evaluation result of the user's emotional state. Specifically, it analyzes the user's facial expressions and voice, and dynamically adjusts the content displayed on the user interface. For example, if the user is feeling stressed, guidance messages will be displayed more concisely.

[0780] (Application Example 2)

[0781] 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".

[0782] The application process for permission to use government property presents challenges, as it requires applicants to manually prepare numerous documents and submit applications accurately according to the latest information, posing significant time and effort. Furthermore, application errors can occur due to a lack of understanding or misunderstanding of the information provided. Additionally, the lack of user-friendly interface adjustments can make the application process stressful.

[0783] 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.

[0784] In this invention, the server includes information processing means for analyzing past application information, data management means for comparing the latest application information based on the analyzed information, document generation means for identifying application information that needs updating and automatically generating the necessary documents, user interface means for presenting the generated documents to the user and obtaining their approval, and emotion recognition means for dynamically adjusting the user interface according to the user's emotional state. This makes it possible to streamline the application process and provide a comfortable operating environment that takes into account the user's emotions.

[0785] An "information processing device" is a device that analyzes past application information and organizes the results in a format that can be used in other processes.

[0786] A "data management device" is a device that efficiently manages and verifies the latest application information based on the analyzed information.

[0787] A "document generation means" is a device that automatically generates necessary documents based on identified application information that requires updating.

[0788] A "user interface means" refers to an operation screen or system that presents generated documents to the user in an easy-to-understand manner and obtains their approval.

[0789] A "format conversion device" is a device for converting approved documents into a format suitable for submission.

[0790] An "emotion recognition device" is a device that infers the user's emotional state from their facial expressions and tone of voice, and dynamically adjusts the interface based on that inference.

[0791] This invention is a system for streamlining the application process for permission to use administrative property by local governments and administrative agencies. It involves the coordinated operation of a server, terminals, and users, achieving automation of the application process and optimization of the interface through emotion recognition.

[0792] The server retrieves past application information from the database and analyzes it using information processing tools. This analysis utilizes generative AI models using Python and TensorFlow to extract necessary structured information from past application data. Based on the analysis results, the data management tools compare the data with the latest application information. This detects areas that need updating. The document generation tools identify the application information that needs updating and automatically generate the necessary documents.

[0793] The terminal functions as an interface with the user, assisting them in reviewing and approving generated documents. Crucial to this is emotion recognition, which uses the terminal's camera and microphone to capture facial expressions and voice, and then uses OpenCV or TensorFlow to determine emotional states. Based on this information, the terminal dynamically adjusts the user interface to provide an optimal user experience.

[0794] For example, if a user appears confused while reviewing application documents, the device can display a message such as, "Would you like us to provide hints regarding the completion of your application documents?" In this case, the server uses an AI model to document FAQ information and reference links and provides them as prompts.

[0795] An example of a prompt message would be, "Automatically generate a list of documents required for a local government's base station installation application. Please consider past application data and include proposals based on the latest laws and regulations." This approach contributes not only to increased efficiency but also to an improved user experience.

[0796] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0797] Step 1:

[0798] The server retrieves past application information from the database. The input is past application information from the database, and the output is information converted into a parseable data format. This information is analyzed using a generative AI model to extract the necessary structured data.

[0799] Step 2:

[0800] The server compares past application information, analyzed by a generation AI model, with the latest application information in the database. The input consists of the analyzed past application information and the latest database information, and the output is a list of application information that needs updating. The server then calculates the differences to clarify which parts need updating.

[0801] Step 3:

[0802] The server automatically generates the necessary documents based on identified updates using document generation tools. The input is a list of application information requiring updates, and the output is the newly generated documents. AI-powered document generation technology is used to create documents that reflect the information required for the application.

[0803] Step 4:

[0804] The terminal presents the generated document to the user and requests confirmation and approval. The input is the generated document, and the output is the user's confirmation and approval information. The user interface presents the information in the format preferred by the user.

[0805] Step 5:

[0806] The device uses emotion recognition to acquire the user's facial expressions and voice tone, and determines their emotional state. The input is the user's facial expressions and voice data, and the output is the determined emotional state. Based on this, the user interface is adjusted.

[0807] Step 6:

[0808] The device presents an interface tailored to the user's emotional state, offering hints and support information to reduce user stress. The input is the determined emotional state, and the output is the notifications and hints presented to the user. This process improves the user experience and facilitates smoother workflow.

[0809] 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.

[0810] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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."

[0818] 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.

[0819] 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.

[0820] 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.

[0821] 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.

[0822] 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.

[0823] 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.

[0824] 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.

[0825] 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.

[0826] 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.

[0827] 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.

[0828] 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.

[0829] 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.

[0830] The following is further disclosed regarding the embodiments described above.

[0831] (Claim 1)

[0832] An information processing device that analyzes past application information,

[0833] A database that verifies the latest application information based on the analyzed information,

[0834] A document generation device that identifies application information requiring updates and automatically generates the necessary documents,

[0835] A user interface that presents the generated document to the user and obtains their approval,

[0836] A format conversion device that adjusts approved documents to the final submission format,

[0837] A system that includes this.

[0838] (Claim 2)

[0839] The system according to claim 1, comprising means for calculating the difference in analyzed information and notifying the user of the changes.

[0840] (Claim 3)

[0841] The system according to claim 1, comprising means for automatically acquiring the latest organizational information and reflecting it in application documents.

[0842] "Example 1"

[0843] (Claim 1)

[0844] Information processing means for analyzing past application information,

[0845] A means of identifying update items by comparing the analyzed information with the latest application database,

[0846] A means of displaying information that needs updating to the user,

[0847] A generation means that automatically generates necessary documents based on user selection,

[0848] An interface means for approving the generated document,

[0849] A conversion method for formatting approved documents into the final submission format,

[0850] A system that includes this.

[0851] (Claim 2)

[0852] The system according to claim 1, comprising means for calculating the difference resulting from the analyzed information and reporting it to the user.

[0853] (Claim 3)

[0854] The system according to claim 1, comprising means for automatically acquiring the latest organizational information and reflecting it in the application document.

[0855] "Application Example 1"

[0856] (Claim 1)

[0857] Information processing means for analyzing past application information,

[0858] Information storage means for verifying the latest application information based on the analyzed information,

[0859] A document generation means that identifies application information that needs updating and automatically generates the necessary documents,

[0860] A user guidance method that presents the generated document to the user and obtains their approval,

[0861] A format conversion means for adjusting approved documents to the final submission format,

[0862] An application method that uses a generative AI model to automatically input the contents of application documents and reflect changes in laws and regulations,

[0863] A system that includes this.

[0864] (Claim 2)

[0865] The system according to claim 1, comprising means for calculating the difference in analyzed information and notifying the user of the changes.

[0866] (Claim 3)

[0867] The system according to claim 1, comprising means for automatically acquiring the latest business information and reflecting it in the application document.

[0868] "Example 2 of combining an emotion engine"

[0869] (Claim 1)

[0870] A data processing method for analyzing past application data,

[0871] A storage device that verifies the latest application data based on the analyzed data,

[0872] A document creation method that identifies application data requiring updates and automatically generates the necessary documents,

[0873] A user interface for displaying the generated document to the user and obtaining their approval,

[0874] A format conversion means for adjusting approved documents into their final submission format,

[0875] A sentiment analysis means that recognizes the emotional state of the user and adjusts the content displayed at the user interface,

[0876] A system that includes this.

[0877] (Claim 2)

[0878] The system according to claim 1, comprising means for calculating the differences in the analyzed data and notifying the user of the changes.

[0879] (Claim 3)

[0880] The system according to claim 1, comprising means for automatically acquiring the latest institutional information and reflecting it in the application document.

[0881] "Application example 2 when combining with an emotional engine"

[0882] (Claim 1)

[0883] Information processing means for analyzing past application information,

[0884] A data management system that verifies the latest application information based on the analyzed information,

[0885] A document generation method that identifies application information requiring updates and automatically generates the necessary documents,

[0886] A user interface means for presenting the generated document to the user and obtaining their approval,

[0887] A format conversion means for adjusting approved documents to the final submission format,

[0888] An emotion recognition means that dynamically adjusts the user interface according to the emotional state,

[0889] A system that includes this.

[0890] (Claim 2)

[0891] The system according to claim 1, comprising means for calculating the difference in analyzed information and notifying the user of the changes.

[0892] (Claim 3)

[0893] The system according to claim 1, comprising means for automatically acquiring the latest organizational data and reflecting it in application documents. [Explanation of Symbols]

[0894] 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. An information processing device that analyzes past application information, A database that verifies the latest application information based on the analyzed information, A document generation device that identifies application information requiring updates and automatically generates the necessary documents, A user interface that presents the generated document to the user and obtains their approval, A format conversion device that adjusts approved documents to the final submission format, A system that includes this.

2. The system according to claim 1, further comprising means for calculating the difference in analyzed information and notifying the user of the changes.

3. The system according to claim 1, comprising means for automatically acquiring the latest organizational information and reflecting it in application documents.

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