system

Abstract

We provide the system. [Solution] A means of answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, A means of providing citizens with the necessary documents and details of procedures in response to their questions, A means of collecting feedback and requests from citizens through online forms and analyzing them with a generative artificial intelligence model, A means of providing information on local government policies and events, and conducting awareness campaigns for citizens, A system that includes this.

Description

Technical Field

[0004] , ,

[0005] , ,

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's 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 local governments and government agencies, the improvement of the efficiency of citizen services and cost reduction are urgent issues. In particular, problems such as a shortage of manpower, an increase in operation costs, and the inability to quickly respond to the needs of citizens are prominent. In addition, there is also a lack of a mechanism to enhance the transparency and accessibility of administrative procedures and policy information and to promote citizen participation. The present invention aims to solve these problems and provide efficient administrative services.

Means for Solving the Problems

[0005] This invention provides the following means through a system using a generative artificial intelligence model. First, it provides a means to answer questions from citizens regarding administrative procedures using a generative artificial intelligence model. Second, it provides a means to provide necessary documents and details of procedures in response to citizens' questions. Furthermore, it provides a means to collect feedback and requests from citizens through online forms and analyze them using a generative artificial intelligence model. Finally, it realizes a system that includes a means to provide information on local government policies and events and to conduct awareness-raising activities for citizens. This system will achieve increased efficiency and cost reduction of administrative services, promotion of citizen participation, and improved transparency and accessibility of information.

[0006] A "generative artificial intelligence model" is an artificial intelligence technology that uses natural language processing to generate and analyze text and information.

[0007] "Administrative procedures" refer to formal procedures and applications that citizens make to the government or local authorities.

[0008] "Means of answering questions" refers to functions and mechanisms for appropriately responding to questions from users.

[0009] "Means of providing necessary documents and details of procedures" refers to a function that provides users with the documents and specific procedures required for particular administrative procedures.

[0010] An "online form" is an electronic input format used to receive input over the internet.

[0011] "Means for collecting feedback and requests" refers to a system for efficiently gathering opinions and requests from citizens.

[0012] "Means of analysis" refers to the function of analyzing collected data and extracting meaningful information.

[0013] The term "local government body" refers to a local public entity responsible for the administration of the local community.

[0014] The term "policy and event information" refers to information regarding policies planned and executed by local government bodies and events held in the region.

[0015] The term "enlightenment activities" refers to activities for providing information and knowledge to citizens and enhancing their understanding and awareness.

[0016] The term "efficiency improvement" refers to making a certain activity or operation possible to perform with less time and cost.

[0017] The term "cost reduction" refers to reducing the expenses required for activities or operations.

[0018] The term "transparency of information" refers to the state where the information required by the relevant parties is publicly disclosed in an accurate and reliable form.

[0019] The term "accessibility" refers to the state where it is easy to access specific information or services.

Brief Explanation of Drawings

[0020] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment.​​​​​​​​​​​​​​​​​It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0021] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0022] First, the language used in the following description will be explained.

[0023] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0024] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0025] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0026] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0027] 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."

[0028] [First Embodiment]

[0029] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0030] 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.

[0031] 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).

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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".

[0041] This invention is a system that uses a generative artificial intelligence model to efficiently support citizens' administrative procedures, thereby enhancing citizen support, providing information, and collecting feedback. This system will achieve increased efficiency and cost reduction in administrative services, improved transparency and accessibility of information, and promotion of citizen participation. Specific embodiments of each function are described below.

[0042] Automation of administrative procedures

[0043] When a citizen enters a question about administrative procedures, this information is sent from the terminal to the server. The server uses a generative artificial intelligence model (for example, GPT-4®, which utilizes natural language processing) to generate an appropriate answer to the question. The generated answer is returned to the terminal and provided to the user.

[0044] Specific example:

[0045] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[0046] The server inputs this question into a generative artificial intelligence model to obtain the necessary documents and methods for the procedure.

[0047] The terminal displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0048] Strengthening support for citizens

[0049] This system provides 24 / 7 online support. When a user enters a question about administrative services, the server uses a generative artificial intelligence model to generate an answer in real time and provides it to the user.

[0050] Specific example:

[0051] The user types "Please tell me about care services for the elderly" on their device.

[0052] The server generates appropriate information about care services using a generative artificial intelligence model.

[0053] The device displays the user with the message, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an examination."

[0054] Information provision and awareness

[0055] Local governments regularly provide information on policies and events to a server. The server analyzes this information using a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs). This information is registered in a database and made easily accessible to users when needed.

[0056] Specific example:

[0057] Local governments are launching new childcare support programs.

[0058] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[0059] The device displays a link that says, "A new childcare support program has started. Click here for details."

[0060] Collecting citizen feedback

[0061] Citizens can submit feedback and requests through online forms. The server analyzes this feedback using a generative artificial intelligence model to extract common problems and areas for improvement. The resulting data is provided to local governments to help improve policies and services.

[0062] Specific example:

[0063] A user enters into an online form that "the park is not being cleaned properly."

[0064] The server aggregates other similar feedback and analyzes common problems using a generative artificial intelligence model.

[0065] Based on data showing that "many citizens are dissatisfied with the cleanliness of parks," local governments decide to strengthen cleaning activities.

[0066] As described above, this invention utilizes a generative artificial intelligence model to automate administrative procedures, enhance citizen support, provide information, and collect feedback. This significantly improves the overall efficiency of administrative services and citizen satisfaction.

[0067] The following describes the processing flow.

[0068] Automation of administrative procedures

[0069] Step 1:

[0070] The user types "Please tell me about the transfer of residency procedures" on their device (PC or smartphone).

[0071] Step 2:

[0072] The terminal sends the user's input data to the server.

[0073] Step 3:

[0074] The server receives input data and sends a request to a generative artificial intelligence model (e.g., GPT-4).

[0075] Step 4:

[0076] The generative artificial intelligence model generates the necessary information regarding the transfer procedure based on the request received from the server.

[0077] Step 5:

[0078] The server receives the response from the generative artificial intelligence model and formats it into a format that can be provided to the user.

[0079] Step 6:

[0080] The server sends the formatted information to the terminal.

[0081] Step 7:

[0082] The terminal displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0083] Strengthening support for citizens

[0084] Step 1:

[0085] The user enters into the terminal, "Please tell me about care services for the elderly."

[0086] Step 2:

[0087] The terminal sends the user's question to the server.

[0088] Step 3:

[0089] The server creates a request to send the user's question data to a generative artificial intelligence model.

[0090] Step 4:

[0091] The generative artificial intelligence model generates appropriate information about care services based on server requests.

[0092] Step 5:

[0093] The server receives the generated information and converts it into a format that can be provided to the user.

[0094] Step 6:

[0095] The server sends the converted information to the terminal.

[0096] Step 7:

[0097] The device displays the user with the message, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an examination."

[0098] Information provision and awareness

[0099] Step 1:

[0100] Local governments provide information on new policies and events (e.g., childcare support programs) to the server.

[0101] Step 2:

[0102] The server receives the provided information and uses a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs).

[0103] Step 3:

[0104] The server registers the generated information in the database.

[0105] Step 4:

[0106] The user searches on their device for "I want to know about the new childcare support program."

[0107] Step 5:

[0108] The server searches the database for the relevant information and retrieves it.

[0109] Step 6:

[0110] The server sends the acquired information to the terminal.

[0111] Step 7:

[0112] The device displays a link with the message, "A new childcare support program has started. Click here for details."

[0113] Collecting citizen feedback

[0114] Step 1:

[0115] A user submits feedback via an online form stating that "the park is not being cleaned properly."

[0116] Step 2:

[0117] The device sends user feedback to the server.

[0118] Step 3:

[0119] The server prepares the feedback content for analysis using a generative artificial intelligence model.

[0120] Step 4:

[0121] Generative artificial intelligence models analyze received feedback data to extract common problems and areas for improvement.

[0122] Step 5:

[0123] The server compiles the analysis results into a report.

[0124] Step 6:

[0125] The server sends the analysis results to the local government.

[0126] Step 7:

[0127] Local governments use the submitted reports to improve policies and services.

[0128] (Example 1)

[0129] 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."

[0130] In the current administrative procedure system, users must go through many steps to complete procedures smoothly, which is very time-consuming and laborious. Furthermore, properly handling user questions and feedback, and providing information and support, relies heavily on human intervention, which often leads to delays. In addition, there is no standardized method for analyzing the collected feedback to effectively utilize it. These challenges reduce the efficiency of administrative services and decrease user satisfaction.

[0131] 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.

[0132] In this invention, the server includes means for answering user questions regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and procedural details in response to user questions, means for collecting feedback and requests from users through online forms and analyzing them with a generative artificial intelligence model, and means for providing information on public institutions' policies and events and conducting awareness campaigns for users. This enables the automation of administrative procedures, enhanced user support, efficient information provision, and effective utilization of feedback.

[0133] A "generative artificial intelligence model" is an algorithm that uses natural language processing techniques to understand questions and feedback from users and generate appropriate answers.

[0134] "Users" refers to citizens or individuals who engage in administrative procedures, provide information, collect feedback, etc.

[0135] "Documents" include official documents such as application forms and certificates required for administrative procedures.

[0136] An "online form" is an electronic input form that users can enter and submit via the internet.

[0137] "Feedback" refers to information such as opinions, requests, and evaluations provided by users.

[0138] "Public institutions" refer to government agencies and organizations that provide administrative services, including local governments.

[0139] A "policy" refers to a policy or program implemented by a public institution.

[0140] "Event information" refers to information about events and activities organized by public institutions.

[0141] "Awareness-raising activities" refer to activities that spread knowledge and information to users.

[0142] "Automation" refers to performing a series of processes without human intervention using technologies such as artificial intelligence.

[0143] A "database" is an electronic information aggregation system used to efficiently manage, search, and utilize collected information and data.

[0144] "Analysis" refers to the process of examining collected data in detail and extracting its meaning and value.

[0145] Modes for carrying out the invention

[0146] This invention is a system that uses a generative artificial intelligence model to efficiently support administrative procedures for citizens, thereby enhancing user support, providing information, and collecting feedback. This system will achieve increased efficiency and cost reduction in administrative services, improved transparency and access to information, and promotion of citizen participation.

[0147] Automation of administrative procedures

[0148] When a user enters a question about administrative procedures on their device, this information is sent from the device to the server. The server uses a generative artificial intelligence model (e.g., GPT-4 using natural language processing techniques) to generate an appropriate answer to the question. The generated answer is then sent back to the device and provided to the user.

[0149] Specific example:

[0150] The user types "Please tell me about the transfer of residency procedure" into the terminal. The terminal sends this question to the server. The server inputs this question into a generative artificial intelligence model and retrieves the necessary documents and methods for the procedure. The terminal displays to the user "To complete the transfer of residency procedure, you will need a transfer of residency notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0151] Example of a prompt:

[0152] "Please provide information regarding the transfer of residency procedures."

[0153] Strengthening support for citizens

[0154] When a user enters a question about administrative services from a terminal, the server uses a generative artificial intelligence model to generate an answer in real time and provides it to the user. This enables 24 / 7 online support.

[0155] Specific example:

[0156] The user types "Please tell me about care services for the elderly" into their device. The device sends this question to the server. The server uses a generative artificial intelligence model to generate appropriate information about care services. The device then displays to the user, "To receive care certification, you need to apply to the city's care certification office and undergo an assessment."

[0157] Example of a prompt:

[0158] "Please provide information regarding care services for the elderly."

[0159] Information provision and awareness

[0160] Local governments regularly provide information on policies and events to a server. The server analyzes this information using a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs). This information is registered in a database and made easily accessible to users when needed.

[0161] Specific example:

[0162] A local government launches a new childcare support program. The server analyzes this information and generates specific details using a generative artificial intelligence model. The terminal displays a link saying, "A new childcare support program has been launched. Click here for details."

[0163] Example of a prompt:

[0164] "Please provide more information about the new childcare support program."

[0165] Collecting citizen feedback

[0166] Users can submit feedback and requests through an online form. The server analyzes this feedback using a generative artificial intelligence model to extract common problems and areas for improvement. The resulting data is provided to local governments to help improve policies and services.

[0167] Specific example:

[0168] A user enters a statement into an online form saying, "The park is not being cleaned properly." The device sends this feedback to a server. The server analyzes similar feedback using a generative artificial intelligence model and identifies common problems. Based on the data showing that "many citizens are dissatisfied with the cleanliness of the park," the local government decides to strengthen cleaning activities.

[0169] Example of a prompt:

[0170] "Please identify common problems based on feedback from citizens."

[0171] As described above, the present invention utilizes a generative artificial intelligence model to automate administrative procedures, enhance citizen support, provide information, and collect feedback, thereby significantly improving the overall efficiency of administrative services and citizen satisfaction.

[0172] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0173] Automation of administrative procedures

[0174] Step 1:

[0175] The user enters questions about administrative procedures into the terminal.

[0176] Input: User-generated text (e.g., "Please tell me about the transfer procedures.")

[0177] Output: The terminal temporarily saves the input.

[0178] Step 2:

[0179] The terminal sends the entered question to the server.

[0180] Input: User questions saved on the device

[0181] Output: User questions forwarded to the server

[0182] Step 3:

[0183] The server receives the question and inputs it as a prompt to the generative artificial intelligence model.

[0184] Input: User questions received by the server (as prompts)

[0185] Data processing: A generative artificial intelligence model analyzes the prompt text and generates relevant information.

[0186] Output: Generated response (Example: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification document, and resident registration certificate. You can apply at the city hall counter.")

[0187] Step 4:

[0188] The server sends the generated response to the terminal.

[0189] Input: Answer generated by a generative artificial intelligence model

[0190] Output: Answer sent to the terminal

[0191] Step 5:

[0192] The device displays the submitted response to the user.

[0193] Input: Response received from the server

[0194] Output: Answer displayed to the user

[0195] Strengthening support for citizens

[0196] Step 1:

[0197] The user enters a question about administrative services into the terminal.

[0198] Input: User-generated text (e.g., "Please tell me about care services for the elderly.")

[0199] Output: The terminal temporarily saves the input.

[0200] Step 2:

[0201] The terminal sends the entered question to the server.

[0202] Input: User questions saved on the device

[0203] Output: User questions forwarded to the server

[0204] Step 3:

[0205] The server receives the question and inputs it as a prompt to the generative artificial intelligence model.

[0206] Input: User questions received by the server (as prompts)

[0207] Data processing: A generative artificial intelligence model analyzes the prompt text and generates relevant information.

[0208] Output: Generated response (Example: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment.")

[0209] Step 4:

[0210] The server sends the generated response to the terminal.

[0211] Input: Answer generated by a generative artificial intelligence model

[0212] Output: Answer sent to the terminal

[0213] Step 5:

[0214] The device displays the submitted response to the user.

[0215] Input: Response received from the server

[0216] Output: Answer displayed to the user

[0217] Information provision and awareness

[0218] Step 1:

[0219] The server provides information on local government policies and events.

[0220] Input: Policy and event information (text format)

[0221] Output: Information sent to the server

[0222] Step 2:

[0223] The server analyzes the provided information using a generative artificial intelligence model.

[0224] Input: Policy and event information received by the server

[0225] Data Processing: Generative artificial intelligence models analyze the information and generate detailed explanations and FAQs.

[0226] Output: Generated descriptions and FAQs

[0227] Step 3:

[0228] The server registers the generated explanations and FAQs in a database.

[0229] Input: Descriptions and FAQs generated by a generative artificial intelligence model.

[0230] Output: Information registered in the database

[0231] Step 4:

[0232] Users access information via their devices when needed.

[0233] Input: User-generated information search (e.g., "new childcare support program")

[0234] Output: Information extracted from the database is displayed to the user.

[0235] Collecting citizen feedback

[0236] Step 1:

[0237] Users submit feedback and requests through online forms.

[0238] Input: Text input of user feedback or requests (e.g., "The park is not being cleaned properly")

[0239] Output: The terminal temporarily saves the input.

[0240] Step 2:

[0241] The terminal sends the input feedback to the server.

[0242] Input: Feedback saved on the device

[0243] Output: Feedback transferred to the server

[0244] Step 3:

[0245] The server analyzes the feedback using a generative artificial intelligence model to extract common problems and areas for improvement.

[0246] Input: Feedback received by the server

[0247] Data processing: Generative artificial intelligence models analyze feedback and extract common problems.

[0248] Output: Common problems and areas for improvement identified

[0249] Step 4:

[0250] The server provides the extracted data to local governments.

[0251] Input: Data extracted by a generative artificial intelligence model.

[0252] Output: Data provided to local governments

[0253] Step 5:

[0254] Local governments use the provided data to improve policies and services.

[0255] Input: Data provided by the server

[0256] Output: Improved policies and services

[0257] The above processing steps enable the automation of administrative procedures, enhanced citizen support, efficient information provision, and effective utilization of feedback.

[0258] (Application Example 1)

[0259] 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."

[0260] In traditional government services and physical stores, a challenge has been the inability of users to smoothly handle procedures and inquiries. In particular, it was difficult for users to obtain necessary information outside of business hours or during times when staff were unavailable. Furthermore, efficiently collecting and addressing user feedback was also challenging.

[0261] 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.

[0262] In this invention, the server includes means for answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and procedural details in response to citizens' questions, means for collecting feedback and requests from citizens through online forms and analyzing them with a generative artificial intelligence model, means for providing real-time support for procedures and questions within the store by allowing visitors to input questions, and means for generating appropriate answers to visitors' questions using a terminal and a generative artificial intelligence model, and providing the answers on screen or by voice. As a result, users can obtain the information they need at any time, feedback can be collected efficiently, and administrative services and store operations can be improved.

[0263] A "generative artificial intelligence model" is an artificial intelligence model that has the ability to generate natural language based on a large amount of data.

[0264] "Citizens" refers to ordinary citizens and residents who use administrative services.

[0265] "Administrative procedures" refer to various procedures, applications, notifications, and other services provided by local governments and government agencies.

[0266] "Details of required documents and procedures" refers to specific information about the documents, procedures, and steps required to use a particular administrative service or service.

[0267] An "online form" is an electronic form that users can input and submit via the internet.

[0268] "Feedback and requests" refers to information such as opinions, impressions, suggestions, and requests for improvement from users.

[0269] "Analyzing with a generative artificial intelligence model" means that an artificial intelligence model analyzes the collected data and extracts patterns and trends.

[0270] "Visitors" refers to customers or users who visit a physical store.

[0271] "Real-time support" refers to users receiving immediate responses and assistance after entering their questions or requests.

[0272] "Terminal" refers to devices such as smartphones, smart glasses, and head-mounted displays.

[0273] "Means of providing information via screen or audio" refers to methods of conveying generated responses to users visually or audibly.

[0274] This invention is a system that uses a generative artificial intelligence model to streamline procedural support for citizens and users. This system facilitates smooth administrative procedures and in-store question-and-answer sessions, and collects and analyzes feedback. Specific embodiments are described below.

[0275] System Configuration

[0276] hardware

[0277] This system utilizes devices such as smartphones, smart glasses, and head-mounted displays. These devices receive input from the user and provide responses via screen or audio.

[0278] software

[0279] The server runs generative artificial intelligence models using the OpenAI® GPT-4 API. It is also programmed in Python. The main processing steps and specific examples are shown below.

[0280] Description of processing steps

[0281] The server operates according to the following procedure:

[0282] 1. Accepting questions:

[0283] The user inputs a question into the terminal. This question can be received through text input or voice input.

[0284] 2. Sending the question:

[0285] The question is sent from the terminal to the server. The server inputs this question into the generative artificial intelligence model.

[0286] 3. Generating the answer:

[0287] The server uses the generative artificial intelligence model to generate an appropriate answer to the question. Specifically, GPT-4 of OpenAI is utilized.

[0288] 4. Providing the answer:

[0289] The server sends the generated answer to the terminal, and the terminal displays it to the user or provides it in voice.

[0290] Specific example

[0291] Support for administrative procedures

[0292] The user inputs "Please tell me about the transfer procedure" on a smartphone.

[0293] The server sends this question to the generative artificial intelligence model (GPT-4) to obtain the details of the procedure.

[0294] The terminal displays to the user "For the transfer procedure, a transfer application form, identification card, and residence certificate are required. You can apply at the city hall counter."

[0295] Support within the store

[0296] A visitor uses smart glasses to input by voice "Please tell me how to return a product."

[0297] The server sends a question to the generative AI model to generate an appropriate answer.

[0298] The terminal tells the visitor audibly, "A receipt at the time of purchase and unused goods are required for returns. Please go to the return counter."

[0299] Examples of prompt sentences

[0300] Examples of inputs to the generative AI model are as follows.

[0301] <​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​The terminal sends the entered question to the server. The transmitted data includes the user's question. The server parses the received question data and begins processing.

[0311] Step 3:

[0312] The server inputs a question into the generative artificial intelligence model.

[0313] The server inputs the received question into a generative artificial intelligence model (GPT-4). The input question is a prompt sentence in the format of "Please tell me about the transfer procedure." Based on this prompt sentence, the generative artificial intelligence model analyzes the data and generates an appropriate answer.

[0314] Step 4:

[0315] A generative artificial intelligence model generates the answer.

[0316] A generative artificial intelligence model generates answers in response to input question prompts. For example, it might output a specific answer such as, "To complete the transfer of residence procedure, you will need a transfer of residence form, identification, and a resident registration certificate." The generated answer data is temporarily stored on the server.

[0317] Step 5:

[0318] The server sends the generated response to the terminal.

[0319] The server sends the response obtained from the generative artificial intelligence model to the user's terminal. The transmitted data includes the generated response. For example, it might say, "The documents required for the transfer of residence procedure are the transfer of residence form, identification card, and resident registration certificate."

[0320] Step 6:

[0321] The device displays or provides the answer to the user via audio.

[0322] The device displays the response received from the server to the user. If the device has voice output capabilities, it will also provide the response verbally. For example, smart glasses might display or play the text, "To complete the transfer of residence procedure, you will need a transfer of residence form, identification, and a resident registration certificate."

[0323] Step 7:

[0324] Users can submit additional feedback or requests.

[0325] The user enters additional questions or feedback regarding the provided answers. For example, they might enter, "Please tell me the detailed procedure for transferring my residency." The device then sends this feedback back to the server. The process from step 2 is then repeated.

[0326] Through these processing steps, users can smoothly obtain information about procedures, and support and feedback can be collected efficiently. This process leads to improvements in administrative and in-store services.

[0327] 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.

[0328] This invention combines a generative artificial intelligence model and an emotion engine to efficiently support citizens' administrative procedures, thereby enhancing citizen support, providing information, and collecting feedback. This system further improves the quality of administrative services by recognizing user emotions and optimizing responses. Specific embodiments of each function are described below.

[0329] Automation of administrative procedures and emotion recognition

[0330] When a citizen enters a question about an administrative procedure, this information is sent from the terminal to the server. The server uses a generative artificial intelligence model to generate an appropriate answer to the question. Furthermore, an emotion engine analyzes the user's input and recognizes the user's emotional state. Based on the recognized emotion, the server optimizes the response, adjusting the tone and content if necessary. The generated answer is returned to the terminal and provided to the user.

[0331] Specific example:

[0332] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[0333] The server inputs this question into a generative artificial intelligence model to obtain the necessary documents and methods for the procedure.

[0334] The emotion engine recognizes anxiety and fatigue from the user's text.

[0335] The server takes the perceived emotions into account and formats the response in a gentle tone, saying, "The transfer of residency procedure is simple. You will need a transfer of residency form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0336] The device will display this answer to the user.

[0337] Strengthening citizen support and emotional awareness

[0338] This system provides 24 / 7 online support. When a user enters a question about administrative services, the server generates an answer in real time using a generative artificial intelligence model, and an emotion engine analyzes the user's emotions. The information and support provided are then adjusted according to the user's emotional state.

[0339] Specific example:

[0340] The user enters, "I want to know about care services for the elderly."

[0341] The server generates information about care services using a generative artificial intelligence model.

[0342] The emotion engine recognizes feelings of confusion from user input.

[0343] The server generates a detailed and helpful response, stating, "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[0344] The device will display this answer to the user.

[0345] Emotional awareness response in information provision and awareness-raising

[0346] Local governments regularly provide policy and event information to a server. The server uses a generative artificial intelligence model to generate detailed explanations and FAQs, and an emotion engine to analyze user responses. Based on the user's emotions towards the provided information, the server optimizes the next information to be provided and the appropriate response.

[0347] Specific example:

[0348] Local governments are launching new childcare support programs.

[0349] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[0350] The device displays a link that says, "A new childcare support program has started. Click here for details."

[0351] The emotion engine analyzes user interest and responses based on user feedback and search history, and provides more detailed information and related event announcements to highly interested users.

[0352] Collecting citizen feedback and sentiment analysis

[0353] Citizens can submit feedback and requests through online forms. The server analyzes this feedback using a generative artificial intelligence model, and an emotion engine identifies the user's emotional state. Based on the recognized emotions, it generates reports to be provided to local governments.

[0354] Specific example:

[0355] A user enters into an online form that "the park is not being cleaned properly."

[0356] The server analyzes feedback using a generative artificial intelligence model and recognizes dissatisfaction and anger with an emotion engine.

[0357] Based on the recognized emotional states, the server generates a report stating that "many citizens are dissatisfied with the cleanliness of the park" and provides it to the local government.

[0358] Based on that report, local governments will consider policies to strengthen their cleaning activities.

[0359] As described above, the present invention is a system that combines a generative artificial intelligence model and an emotion engine to streamline administrative procedures for citizens, provide optimal responses based on emotions, and improve the quality of citizen support.

[0360] The following describes the processing flow.

[0361] Automation of administrative procedures and emotion recognition

[0362] Step 1:

[0363] The user types "Please tell me about the transfer of residency procedures" on their device (PC or smartphone).

[0364] Step 2:

[0365] The terminal sends the user's input data to the server.

[0366] Step 3:

[0367] The server receives input data and sends a request to the generative artificial intelligence model.

[0368] Step 4:

[0369] The generative artificial intelligence model generates the necessary information regarding the transfer procedure based on requests from the server.

[0370] Step 5:

[0371] The server receives the generated response data and sends the input data to the emotion engine.

[0372] Step 6:

[0373] The emotion engine analyzes user input to identify emotions such as anxiety and fatigue.

[0374] Step 7:

[0375] The server optimizes and edits the content and tone of the generated responses based on the recognized emotions.

[0376] Step 8:

[0377] The server sends the optimized response to the terminal.

[0378] Step 9:

[0379] The terminal displays a message to the user in a gentle tone: "The transfer of residence procedure is easy. You will need a transfer of residence form, identification, and a certificate of residence. You can apply at the city hall counter."

[0380] Strengthening citizen support and emotional awareness

[0381] Step 1:

[0382] The user enters into the terminal, "Please tell me about care services for the elderly."

[0383] Step 2:

[0384] The terminal sends the user's question to the server.

[0385] Step 3:

[0386] The server creates a request to send the user's question data to a generative artificial intelligence model.

[0387] Step 4:

[0388] The generative artificial intelligence model generates appropriate information about care services based on server requests.

[0389] Step 5:

[0390] The server receives the generated information and sends the user's input data to the emotion engine.

[0391] Step 6:

[0392] The emotion engine analyzes user input to understand emotions and recognize feelings of confusion.

[0393] Step 7:

[0394] The server adds detailed and helpful explanations to the generated responses based on the recognized emotions.

[0395] Step 8:

[0396] The server sends the edited response to the terminal.

[0397] Step 9:

[0398] The device displays the following message to the user: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[0399] Emotional awareness response in information provision and awareness-raising

[0400] Step 1:

[0401] Local governments provide information on new policies and events (e.g., childcare support programs) to the server.

[0402] Step 2:

[0403] The server receives the provided information and uses a generative artificial intelligence model to generate detailed explanations and FAQs.

[0404] Step 3:

[0405] The server registers the generated information in the database.

[0406] Step 4:

[0407] The user searches on their device for "I want to know about the new childcare support program."

[0408] Step 5:

[0409] The server searches the database for the relevant information and retrieves it.

[0410] Step 6:

[0411] The server sends the acquired information to the emotion engine, which analyzes the user's level of interest and reactions.

[0412] Step 7:

[0413] The emotion engine analyzes user interest and reactions based on user feedback and search history.

[0414] Step 8:

[0415] The server generates optimized content, including detailed information and relevant events, for users who are highly interested.

[0416] Step 9:

[0417] The server sends optimized information to the terminal.

[0418] Step 10:

[0419] The device displays a link that says, "A new childcare support program has started. Click here for details."

[0420] Collecting citizen feedback and sentiment analysis

[0421] Step 1:

[0422] A user submits feedback via an online form stating that "the park is not being cleaned properly."

[0423] Step 2:

[0424] The device sends user feedback to the server.

[0425] Step 3:

[0426] The server prepares the feedback content for analysis using a generative artificial intelligence model.

[0427] Step 4:

[0428] Generative artificial intelligence models analyze received feedback data and generate the necessary information.

[0429] Step 5:

[0430] The server sends the generated data to the emotion engine, which then analyzes the user's emotional state.

[0431] Step 6:

[0432] The emotion engine recognizes emotions such as dissatisfaction and anger from the feedback content.

[0433] Step 7:

[0434] The server compiles the analysis results, based on the recognized emotions, into a report.

[0435] Step 8:

[0436] The server transmits the data to provide the analysis results to the local government.

[0437] Step 9:

[0438] Based on the submitted reports, local governments will consider improvement measures such as strengthening cleaning activities.

[0439] (Example 2)

[0440] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0441] Current administrative procedures often require users to expend considerable time and effort to obtain necessary information, and frequently result in emotional stress. Furthermore, manual collection and analysis of feedback is highly inefficient, hindering improvements in user satisfaction. Additionally, conventional methods for providing information on local government policies and events make it difficult to deliver information based on user interests. To address these issues, prompt and appropriate responses to user questions, along with support that considers users' emotional states, are essential.

[0442] In Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for answering user questions regarding administrative procedures using a generative artificial intelligence model, means for analyzing the user's emotions and generating an optimal response based on those emotions, and means for providing necessary documents and procedural details in response to the user's questions. This makes it possible to respond quickly and appropriately to user questions and provide optimal support that takes the user's emotions into consideration. Furthermore, by automatically collecting and analyzing feedback and requests through online forms, it is possible to report problems to local governments efficiently and usefully. In addition, by optimally providing information on local government policies and events based on the user's emotions and interests, user satisfaction is improved and awareness-raising activities are carried out effectively.

[0443] A "generative artificial intelligence model" is an algorithm or program that performs natural language processing based on user input and generates appropriate responses.

[0444] A "user" is an individual or organization that uses the system to obtain information about administrative procedures and public services.

[0445] A "terminal" is a device used by users to input information or to receive and display responses from a server.

[0446] A "server" is a platform that includes generative artificial intelligence models and emotion engines, and is a central computer system that processes information from users and generates appropriate responses.

[0447] An "emotion engine" is a software system that analyzes a user's emotional state based on their input text and actions.

[0448] "Feedback" refers to the opinions and requests that users provide to a system or service.

[0449] A "local government" is a local government agency such as a city or prefecture, which provides public services to local residents.

[0450] "Awareness-raising activities" are activities that aim to deepen understanding or encourage action by providing users with specific information or knowledge.

[0451] "Response optimization" is the process of adjusting the tone and content of the generated response according to the user's emotional state and situation.

[0452] An "online form" is a web-based input screen that allows users to enter information and electronically send it to a server.

[0453] This invention combines a generative artificial intelligence model and an emotion engine to provide rapid and appropriate answers to questions from citizens regarding administrative procedures, and to respond in a way that takes user emotions into consideration. This system is implemented using the following hardware and software.

[0454] Hardware and software usage

[0455] The server has a platform that includes a generative artificial intelligence model and an emotion engine. The generative artificial intelligence model includes algorithms and programs (e.g., natural language processing models) for generating appropriate answers to user questions. The emotion engine is a software system for analyzing the emotional state of the user from their input.

[0456] A terminal is a device used by users to input information and display responses from a server. Terminals include personal computers, smartphones, and tablets, and provide an interface for users to operate the system.

[0457] Users use these terminals to access the system, enter questions about administrative procedures, and receive answers from the server.

[0458] Example of a prompt

[0459] Examples of prompt messages include: "Please tell me about the procedures for moving in," "I would like to know about care services for the elderly," and "The park is not being cleaned properly."

[0460] Specific examples and processing flow

[0461] Specific example 1: Questions about administrative procedures

[0462] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[0463] The device sends this question to the server.

[0464] The server uses a generative artificial intelligence model to generate the response, "You will need a change of address form, identification, and a resident registration certificate. You can apply for them at the city hall counter."

[0465] The emotion engine recognizes anxiety and fatigue from user input.

[0466] Based on the analysis results of the emotion engine, the server formats the response in a gentle tone, saying, "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0467] The device will display this answer to the user.

[0468] Specific example 2: Questions regarding citizen support

[0469] The user enters, "I want to know about care services for the elderly."

[0470] The device sends this question to the server.

[0471] The server uses a generative artificial intelligence model to generate the response, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment."

[0472] The emotion engine recognizes feelings of confusion from user input.

[0473] The server then formats the response, adding a clear and detailed explanation, to read: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[0474] The device will display this answer to the user.

[0475] Examples of information provision and awareness-raising activities

[0476] Specific example: Information about childcare support programs

[0477] Local governments provide new childcare support programs to a server.

[0478] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[0479] The device displays a link that says, "A new childcare support program has started. Click here for details."

[0480] The emotion engine analyzes user interest and reactions based on user feedback and search history.

[0481] The server will provide more detailed information and related events to interested users.

[0482] Through these processes, the system can streamline users' administrative procedures and provide optimal, emotion-based responses in the process. Furthermore, by analyzing feedback and optimizing information provision, it contributes to improved user satisfaction and efficient operation of local governments.

[0483] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0484] Automation of administrative procedures and emotion recognition

[0485] Specific example 1: Questions about administrative procedures

[0486] Step 1:

[0487] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[0488] Input: User's question (e.g., "Please tell me about the transfer procedures.").

[0489] Output: Question data sent to the server.

[0490] Step 2:

[0491] The device sends this question to the server.

[0492] Input: User's question data.

[0493] Output: Question data received by the server.

[0494] Step 3:

[0495] The server inputs the received question into a generative artificial intelligence model.

[0496] Input: Received question data (e.g., "Please tell me about the transfer of residency procedures").

[0497] Output: Data passed to the generative artificial intelligence model.

[0498] Step 4:

[0499] Generative artificial intelligence models generate appropriate answers.

[0500] Input: Question data received by the generative artificial intelligence model.

[0501] Data processing: Natural language processing is used to analyze the question content, search for relevant information, and generate answers.

[0502] Output: "You will need a change of address form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0503] Step 5:

[0504] The emotion engine analyzes user input and recognizes the user's emotional state.

[0505] Input: User's question data (e.g., "Please tell me about the transfer procedures").

[0506] Data processing: Perform text analysis and extract emotional components (e.g., anxiety, fatigue).

[0507] Output: Emotional state (e.g., anxiety, fatigue).

[0508] Step 6:

[0509] The server optimizes its response based on the analysis results of the emotion engine.

[0510] Input: Response data from a generative artificial intelligence model and analysis results from an emotion engine (e.g., "anxiety" and "fatigue").

[0511] Data processing: Adjust the tone and content of the responses to create a gentler tone that will put users at ease.

[0512] Output: Optimized response data (e.g., "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter.").

[0513] Step 7:

[0514] The server sends the optimized response to the terminal.

[0515] Input: Optimized response data.

[0516] Output: Response data received by the device.

[0517] Step 8:

[0518] The device will display this answer to the user.

[0519] Input: Optimized response data received from the server.

[0520] Output: The response displayed to the user (e.g., "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter.").

[0521] Strengthening citizen support and emotional awareness

[0522] Specific example 2: Questions regarding citizen support

[0523] Step 1:

[0524] The user enters, "I want to know about care services for the elderly."

[0525] Input: User's question (e.g., "I want to know about care services for the elderly").

[0526] Output: Question data sent to the server.

[0527] Step 2:

[0528] The device sends this question to the server.

[0529] Input: User's question data.

[0530] Output: Question data received by the server.

[0531] Step 3:

[0532] The server inputs a question into a generative artificial intelligence model.

[0533] Input: Received question data.

[0534] Output: Data passed to the generative artificial intelligence model.

[0535] Step 4:

[0536] Generative artificial intelligence models generate appropriate answers.

[0537] Input: Question data.

[0538] Data processing: Use natural language processing to search for relevant care service information and generate responses.

[0539] Output: The response data states, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment."

[0540] Step 5:

[0541] The emotion engine recognizes feelings of confusion from the user's input.

[0542] Input: Question data.

[0543] Data processing: Extract emotional components (e.g., confusion) through text analysis.

[0544] Output: Emotional state (e.g., confused).

[0545] Step 6:

[0546] The server optimizes its response based on the analysis results of the emotion engine.

[0547] Input: Response data from a generative artificial intelligence model and analysis results from an emotion engine.

[0548] Data processing: Make the responses more detailed and add explanations to reassure the user.

[0549] Output: Optimized response data: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[0550] Step 7:

[0551] The server sends the optimized response to the terminal.

[0552] Input: Optimized response data.

[0553] Output: Response data received by the device.

[0554] Step 8:

[0555] The device will display this answer to the user.

[0556] Input: Optimized response data.

[0557] Output: Response displayed to the user (Example: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured.").

[0558] By explaining each processing step in detail, including specific actions, it becomes clear what kind of data processing and calculations are necessary, and how the optimal response is generated and provided.

[0559] (Application Example 2)

[0560] 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."

[0561] Conventional administrative procedure support systems have limitations in generating appropriate answers to the diverse questions of citizens, and in particular, they fail to optimize responses based on citizens' emotions. Furthermore, in situations where immediate responses are required regarding the security of buildings and facilities, the failure to provide effective responses that take emotions into account led to a decline in the quality of security responses.

[0562] 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. In this invention, the server includes means for answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and details of procedures in response to citizens' questions, and means for analyzing citizens' emotional states and optimizing responses. This enables not only the generation of optimal answers to citizens' questions but also the optimization of responses according to emotions, and in particular, enables effective immediate responses regarding the security of buildings and facilities.

[0563] A "generative artificial intelligence model" is a type of artificial intelligence that can generate new answers and information based on past data.

[0564] "Citizen" refers to an individual residing within a local government area who has the right to receive administrative services.

[0565] An "emotion engine" is a system that analyzes a user's emotional state from text or voice input and automatically takes appropriate action based on those emotions.

[0566] "Device" refers to information and communication devices such as smartphones, tablets, smart glasses, or personal computers.

[0567] "Feedback" refers to information such as opinions, requests, and evaluations provided by citizens who have used the service.

[0568] An "online form" is a web-based screen or application screen used to input and submit information via the internet.

[0569] A "local government" is a regional administrative organization such as a city, town, or village, which provides various administrative services to its citizens.

[0570] "Awareness-raising activities" are information dissemination activities aimed at providing citizens with information on administrative policies and events to deepen their understanding.

[0571] "Security" refers to the functions and activities that ensure safety and protection within buildings and facilities.

[0572] "Optimizing responses" is the process of adjusting the information and content of responses provided according to the user's emotions and circumstances.

[0573] This invention uses a system that combines a generative artificial intelligence model and an emotion engine to efficiently support citizens' administrative procedures, enhance citizen support, provide information, and address security issues.

[0574] System Configuration

[0575] hardware

[0576] Devices used: Smartphones, smart glasses, tablets, or personal computers.

[0577] Server: A high-performance computer system for running generative artificial intelligence models and emotion engines.

[0578] software

[0579] Generative artificial intelligence models: Artificial intelligence that generates new answers and information based on past data. A specific example is GPT-4.

[0580] Emotion engine: Software that analyzes the user's emotional state from their input and provides the optimal response. A specific example is Affectiva.

[0581] Program processing details

[0582] Receiving input data

[0583] Users input questions and reports regarding administrative procedures and security into a terminal via their smartphone or smart glasses. This input data is transmitted to the server in real time.

[0584] Data Analysis

[0585] The server inputs the received data into a generative artificial intelligence model to generate appropriate responses and procedures. Simultaneously, an emotion engine analyzes the user's emotional state from their input text or voice. For example, a report such as "I saw a suspicious person" might be determined to contain an element of anxiety.

[0586] Optimizing response

[0587] The server adjusts the tone of its response based on the perceived emotional state. For example, if anxiety is detected, the response will be reassuring, such as, "We've received your message. We've notified other security personnel, and support will be arriving shortly."

[0588] Data Feedback

[0589] User feedback is sent back to the server and analyzed by a generative artificial intelligence model. Based on the sentiment analysis results from the sentiment engine, a report is generated for local governments. This allows for the identification of common problems and the implementation of appropriate countermeasures.

[0590] Specific example

[0591] 1. Administrative procedures

[0592] When a user types "Please tell me about the transfer of residency procedure" into their terminal, the server generates the necessary documents and instructions, and uses an emotion engine to recognize the user's anxiety. It then provides a gentle response: "The transfer of residency procedure is simple. You will need a transfer of residency form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0593] 2. Security measures

[0594] A security guard reports, "I've seen a suspicious person," through smart glasses. The server generates emergency response procedures and recognizes the guard's anxiety using an emotion engine. The response is then adjusted to, "Confirmed. We have notified other security guards, and support will arrive shortly."

[0595] 3. Feedback Collection and Analysis

[0596] Users submit their complaints about the cleanliness of parks through an online form. The server analyzes the feedback using a generative artificial intelligence model and recognizes the dissatisfaction with an emotion engine. It then provides a report to the local government stating that "many citizens are dissatisfied with the cleanliness of parks," facilitating the consideration of countermeasures.

[0597] Example of a prompt

[0598] Recognize the user's emotional state and generate responses based on their inquiries. For example, if you receive a message saying, "I saw a suspicious person," respond in a reassuring tone if the user is expressing anxiety. Generate a message such as, "We've checked on this. We've notified other security personnel, and support will be arriving shortly."

[0599] This makes it possible for the system of the present invention to provide efficient and emotionally responsive responses to citizens' questions and reports, thereby improving the quality of security responses.

[0600] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0601] Step 1:

[0602] Users input questions and reports regarding administrative procedures and security using their smartphones or smart glasses. The input data is sent to the server in text format. Examples of input include "Please tell me about the procedures for moving in" and "I saw a suspicious person."

[0603] Step 2:

[0604] The server inputs the received data into a generative artificial intelligence model (e.g., GPT-4) to generate appropriate answers and procedures based on the questions and reports. The generated answers are stored in an internal data structure and linked to the next process. For example, it might generate, "For transfer procedures, the required documents are a transfer notification form, identification card, and resident registration certificate."

[0605] Step 3:

[0606] The server uses an emotion engine (e.g., Affectiva) to analyze the user's emotional state from their input text or voice. Once the emotion engine analyzes the data, it identifies emotions such as anxiety, anger, and surprise, and adds the analysis results to the server's internal data structure. For example, the emotion of anxiety might be recognized from the phrase "I saw a suspicious person."

[0607] Step 4:

[0608] The server adjusts the generated response content and tone based on the recognized emotional state. If the emotion is recognized as anxiety, the response is changed to a reassuring tone, such as "Confirmed. I have notified other security personnel, and support will arrive shortly." The adjusted response is then updated in the internal data structure.

[0609] Step 5:

[0610] The server sends the final generated response and tone to the terminal. This allows the user to see optimized answers to their questions and reports in real time. For example, a friendly response might appear saying, "The transfer process is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0611] Step 6:

[0612] User feedback and additional reports are sent to the server. The feedback is received via an online form and analyzed again by a generative artificial intelligence model and sentiment engine. This generates reports based on citizens' sentiments and requests, which are then provided to local governments. For example, if there is feedback that "parks are not kept clean," this is recognized as a problem raised by many citizens.

[0613] 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.

[0614] 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.

[0615] 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.

[0616] [Second Embodiment]

[0617] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0618] 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.

[0619] 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).

[0620] 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.

[0621] 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.

[0622] 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).

[0623] 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.

[0624] 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.

[0625] 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.

[0626] 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.

[0627] 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.

[0628] 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".

[0629] This invention is a system that uses a generative artificial intelligence model to efficiently support citizens' administrative procedures, thereby enhancing citizen support, providing information, and collecting feedback. This system will achieve increased efficiency and cost reduction in administrative services, improved transparency and accessibility of information, and promotion of citizen participation. Specific embodiments of each function are described below.

[0630] Automation of administrative procedures

[0631] When a citizen enters a question about an administrative procedure, this information is sent from the terminal to the server. The server uses a generative artificial intelligence model (e.g., GPT-4 utilizing natural language processing) to generate an appropriate answer to the question. The generated answer is returned to the terminal and provided to the user.

[0632] Specific example:

[0633] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[0634] The server inputs this question into a generative artificial intelligence model to obtain the necessary documents and methods for the procedure.

[0635] The terminal displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0636] Strengthening support for citizens

[0637] This system provides 24 / 7 online support. When a user enters a question about administrative services, the server uses a generative artificial intelligence model to generate an answer in real time and provides it to the user.

[0638] Specific example:

[0639] The user types "Please tell me about care services for the elderly" on their device.

[0640] The server generates appropriate information about care services using a generative artificial intelligence model.

[0641] The device displays the user with the message, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an examination."

[0642] Information provision and awareness

[0643] Local governments regularly provide information on policies and events to a server. The server analyzes this information using a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs). This information is registered in a database and made easily accessible to users when needed.

[0644] Specific example:

[0645] Local governments are launching new childcare support programs.

[0646] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[0647] The device displays a link that says, "A new childcare support program has started. Click here for details."

[0648] Collecting citizen feedback

[0649] Citizens can submit feedback and requests through online forms. The server analyzes this feedback using a generative artificial intelligence model to extract common problems and areas for improvement. The resulting data is provided to local governments to help improve policies and services.

[0650] Specific example:

[0651] A user enters into an online form that "the park is not being cleaned properly."

[0652] The server aggregates other similar feedback and analyzes common problems using a generative artificial intelligence model.

[0653] Based on data showing that "many citizens are dissatisfied with the cleanliness of parks," local governments decide to strengthen cleaning activities.

[0654] As described above, this invention utilizes a generative artificial intelligence model to automate administrative procedures, enhance citizen support, provide information, and collect feedback. This significantly improves the overall efficiency of administrative services and citizen satisfaction.

[0655] The following describes the processing flow.

[0656] Automation of administrative procedures

[0657] Step 1:

[0658] The user types "Please tell me about the transfer of residency procedures" on their device (PC or smartphone).

[0659] Step 2:

[0660] The terminal sends the user's input data to the server.

[0661] Step 3:

[0662] The server receives input data and sends a request to a generative artificial intelligence model (e.g., GPT-4).

[0663] Step 4:

[0664] The generative artificial intelligence model generates the necessary information regarding the transfer procedure based on the request received from the server.

[0665] Step 5:

[0666] The server receives the response from the generative artificial intelligence model and formats it into a format that can be provided to the user.

[0667] Step 6:

[0668] The server sends the formatted information to the terminal.

[0669] Step 7:

[0670] The terminal displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0671] Strengthening support for citizens

[0672] Step 1:

[0673] The user enters into the terminal, "Please tell me about care services for the elderly."

[0674] Step 2:

[0675] The terminal sends the user's question to the server.

[0676] Step 3:

[0677] The server creates a request to send the user's question data to a generative artificial intelligence model.

[0678] Step 4:

[0679] The generative artificial intelligence model generates appropriate information about care services based on server requests.

[0680] Step 5:

[0681] The server receives the generated information and converts it into a format that can be provided to the user.

[0682] Step 6:

[0683] The server sends the converted information to the terminal.

[0684] Step 7:

[0685] The device displays the user with the message, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an examination."

[0686] Information provision and awareness

[0687] Step 1:

[0688] Local governments provide information on new policies and events (e.g., childcare support programs) to the server.

[0689] Step 2:

[0690] The server receives the provided information and uses a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs).

[0691] Step 3:

[0692] The server registers the generated information in the database.

[0693] Step 4:

[0694] The user searches on their device for "I want to know about the new childcare support program."

[0695] Step 5:

[0696] The server searches the database for the relevant information and retrieves it.

[0697] Step 6:

[0698] The server sends the acquired information to the terminal.

[0699] Step 7:

[0700] The device displays a link with the message, "A new childcare support program has started. Click here for details."

[0701] Collecting citizen feedback

[0702] Step 1:

[0703] A user submits feedback via an online form stating that "the park is not being cleaned properly."

[0704] Step 2:

[0705] The device sends user feedback to the server.

[0706] Step 3:

[0707] The server prepares the feedback content for analysis using a generative artificial intelligence model.

[0708] Step 4:

[0709] Generative artificial intelligence models analyze received feedback data to extract common problems and areas for improvement.

[0710] Step 5:

[0711] The server compiles the analysis results into a report.

[0712] Step 6:

[0713] The server sends the analysis results to the local government.

[0714] Step 7:

[0715] Local governments use the submitted reports to improve policies and services.

[0716] (Example 1)

[0717] 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".

[0718] In the current administrative procedure system, users must go through many steps to complete procedures smoothly, which is very time-consuming and laborious. Furthermore, properly handling user questions and feedback, and providing information and support, relies heavily on human intervention, which often leads to delays. In addition, there is no standardized method for analyzing the collected feedback to effectively utilize it. These challenges reduce the efficiency of administrative services and decrease user satisfaction.

[0719] 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.

[0720] In this invention, the server includes means for answering user questions regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and procedural details in response to user questions, means for collecting feedback and requests from users through online forms and analyzing them with a generative artificial intelligence model, and means for providing information on public institutions' policies and events and conducting awareness campaigns for users. This enables the automation of administrative procedures, enhanced user support, efficient information provision, and effective utilization of feedback.

[0721] A "generative artificial intelligence model" is an algorithm that uses natural language processing techniques to understand questions and feedback from users and generate appropriate answers.

[0722] "Users" refers to citizens or individuals who engage in administrative procedures, provide information, collect feedback, etc.

[0723] "Documents" include official documents such as application forms and certificates required for administrative procedures.

[0724] An "online form" is an electronic input form that users can enter and submit via the internet.

[0725] "Feedback" refers to information such as opinions, requests, and evaluations provided by users.

[0726] "Public institutions" refer to government agencies and organizations that provide administrative services, including local governments.

[0727] A "policy" refers to a policy or program implemented by a public institution.

[0728] "Event information" refers to information about events and activities organized by public institutions.

[0729] "Awareness-raising activities" refer to activities that spread knowledge and information to users.

[0730] "Automation" refers to performing a series of processes without human intervention using technologies such as artificial intelligence.

[0731] A "database" is an electronic information aggregation system used to efficiently manage, search, and utilize collected information and data.

[0732] "Analysis" refers to the process of examining collected data in detail and extracting its meaning and value.

[0733] Modes for carrying out the invention

[0734] This invention is a system that uses a generative artificial intelligence model to efficiently support administrative procedures for citizens, thereby enhancing user support, providing information, and collecting feedback. This system will achieve increased efficiency and cost reduction in administrative services, improved transparency and access to information, and promotion of citizen participation.

[0735] Automation of administrative procedures

[0736] When a user enters a question about administrative procedures on their device, this information is sent from the device to the server. The server uses a generative artificial intelligence model (e.g., GPT-4 using natural language processing techniques) to generate an appropriate answer to the question. The generated answer is then sent back to the device and provided to the user.

[0737] Specific example:

[0738] The user types "Please tell me about the transfer of residency procedure" into the terminal. The terminal sends this question to the server. The server inputs this question into a generative artificial intelligence model and retrieves the necessary documents and methods for the procedure. The terminal displays to the user "To complete the transfer of residency procedure, you will need a transfer of residency notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0739] Example of a prompt:

[0740] "Please provide information regarding the transfer of residency procedures."

[0741] Strengthening support for citizens

[0742] When a user enters a question about administrative services from a terminal, the server uses a generative artificial intelligence model to generate an answer in real time and provides it to the user. This enables 24 / 7 online support.

[0743] Specific example:

[0744] The user types "Please tell me about care services for the elderly" into their device. The device sends this question to the server. The server uses a generative artificial intelligence model to generate appropriate information about care services. The device then displays to the user, "To receive care certification, you need to apply to the city's care certification office and undergo an assessment."

[0745] Example of a prompt:

[0746] "Please provide information regarding care services for the elderly."

[0747] Information provision and awareness

[0748] Local governments regularly provide information on policies and events to a server. The server analyzes this information using a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs). This information is registered in a database and made easily accessible to users when needed.

[0749] Specific example:

[0750] A local government launches a new childcare support program. The server analyzes this information and generates specific details using a generative artificial intelligence model. The terminal displays a link saying, "A new childcare support program has been launched. Click here for details."

[0751] Example of a prompt:

[0752] "Please provide more information about the new childcare support program."

[0753] Collecting citizen feedback

[0754] Users can submit feedback and requests through an online form. The server analyzes this feedback using a generative artificial intelligence model to extract common problems and areas for improvement. The resulting data is provided to local governments to help improve policies and services.

[0755] Specific example:

[0756] A user enters a statement into an online form saying, "The park is not being cleaned properly." The device sends this feedback to a server. The server analyzes similar feedback using a generative artificial intelligence model and identifies common problems. Based on the data showing that "many citizens are dissatisfied with the cleanliness of the park," the local government decides to strengthen cleaning activities.

[0757] Example of a prompt:

[0758] "Please identify common problems based on feedback from citizens."

[0759] As described above, the present invention utilizes a generative artificial intelligence model to automate administrative procedures, enhance citizen support, provide information, and collect feedback, thereby significantly improving the overall efficiency of administrative services and citizen satisfaction.

[0760] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0761] Automation of administrative procedures

[0762] Step 1:

[0763] The user enters questions about administrative procedures into the terminal.

[0764] Input: User-generated text (e.g., "Please tell me about the transfer procedures.")

[0765] Output: The terminal temporarily saves the input.

[0766] Step 2:

[0767] The terminal sends the entered question to the server.

[0768] Input: User questions saved on the device

[0769] Output: User questions forwarded to the server

[0770] Step 3:

[0771] The server receives the question and inputs it as a prompt to the generative artificial intelligence model.

[0772] Input: User questions received by the server (as prompts)

[0773] Data processing: A generative artificial intelligence model analyzes the prompt text and generates relevant information.

[0774] Output: Generated response (Example: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification document, and resident registration certificate. You can apply at the city hall counter.")

[0775] Step 4:

[0776] The server sends the generated response to the terminal.

[0777] Input: Answer generated by a generative artificial intelligence model

[0778] Output: Answer sent to the terminal

[0779] Step 5:

[0780] The device displays the submitted response to the user.

[0781] Input: Response received from the server

[0782] Output: Answer displayed to the user

[0783] Strengthening support for citizens

[0784] Step 1:

[0785] The user enters a question about administrative services into the terminal.

[0786] Input: User-generated text (e.g., "Please tell me about care services for the elderly.")

[0787] Output: The terminal temporarily saves the input.

[0788] Step 2:

[0789] The terminal sends the entered question to the server.

[0790] Input: User questions saved on the device

[0791] Output: User questions forwarded to the server

[0792] Step 3:

[0793] The server receives the question and inputs it as a prompt to the generative artificial intelligence model.

[0794] Input: User questions received by the server (as prompts)

[0795] Data processing: A generative artificial intelligence model analyzes the prompt text and generates relevant information.

[0796] Output: Generated response (Example: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment.")

[0797] Step 4:

[0798] The server sends the generated response to the terminal.

[0799] Input: Answer generated by a generative artificial intelligence model

[0800] Output: Answer sent to the terminal

[0801] Step 5:

[0802] The device displays the submitted response to the user.

[0803] Input: Response received from the server

[0804] Output: Answer displayed to the user

[0805] Information provision and awareness

[0806] Step 1:

[0807] The server provides information on local government policies and events.

[0808] Input: Policy and event information (text format)

[0809] Output: Information sent to the server

[0810] Step 2:

[0811] The server analyzes the provided information using a generative artificial intelligence model.

[0812] Input: Policy and event information received by the server

[0813] Data Processing: Generative artificial intelligence models analyze the information and generate detailed explanations and FAQs.

[0814] Output: Generated descriptions and FAQs

[0815] Step 3:

[0816] The server registers the generated explanations and FAQs in a database.

[0817] Input: Descriptions and FAQs generated by a generative artificial intelligence model.

[0818] Output: Information registered in the database

[0819] Step 4:

[0820] Users access information via their devices when needed.

[0821] Input: User-generated information search (e.g., "new childcare support program")

[0822] Output: Information extracted from the database is displayed to the user.

[0823] Collecting citizen feedback

[0824] Step 1:

[0825] Users submit feedback and requests through online forms.

[0826] Input: Text input of user feedback or requests (e.g., "The park is not being cleaned properly")

[0827] Output: The terminal temporarily saves the input.

[0828] Step 2:

[0829] The terminal sends the input feedback to the server.

[0830] Input: Feedback saved on the device

[0831] Output: Feedback transferred to the server

[0832] Step 3:

[0833] The server analyzes the feedback using a generative artificial intelligence model to extract common problems and areas for improvement.

[0834] Input: Feedback received by the server

[0835] Data processing: Generative artificial intelligence models analyze feedback and extract common problems.

[0836] Output: Common problems and areas for improvement identified

[0837] Step 4:

[0838] The server provides the extracted data to local governments.

[0839] Input: Data extracted by a generative artificial intelligence model.

[0840] Output: Data provided to local governments

[0841] Step 5:

[0842] Local governments use the provided data to improve policies and services.

[0843] Input: Data provided by the server

[0844] Output: Improved policies and services

[0845] The above processing steps enable the automation of administrative procedures, enhanced citizen support, efficient information provision, and effective utilization of feedback.

[0846] (Application Example 1)

[0847] 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."

[0848] In traditional government services and physical stores, a challenge has been the inability of users to smoothly handle procedures and inquiries. In particular, it was difficult for users to obtain necessary information outside of business hours or during times when staff were unavailable. Furthermore, efficiently collecting and addressing user feedback was also challenging.

[0849] 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.

[0850] In this invention, the server includes means for answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and procedural details in response to citizens' questions, means for collecting feedback and requests from citizens through online forms and analyzing them with a generative artificial intelligence model, means for providing real-time support for procedures and questions within the store by allowing visitors to input questions, and means for generating appropriate answers to visitors' questions using a terminal and a generative artificial intelligence model, and providing the answers on screen or by voice. As a result, users can obtain the information they need at any time, feedback can be collected efficiently, and administrative services and store operations can be improved.

[0851] A "generative artificial intelligence model" is an artificial intelligence model that has the ability to generate natural language based on a large amount of data.

[0852] "Citizens" refers to ordinary citizens and residents who use administrative services.

[0853] "Administrative procedures" refer to various procedures, applications, notifications, and other services provided by local governments and government agencies.

[0854] "Details of required documents and procedures" refers to specific information about the documents, procedures, and steps required to use a particular administrative service or service.

[0855] An "online form" is an electronic form that users can input and submit via the internet.

[0856] "Feedback and requests" refers to information such as opinions, impressions, suggestions, and requests for improvement from users.

[0857] "Analyzing with a generative artificial intelligence model" means that an artificial intelligence model analyzes the collected data and extracts patterns and trends.

[0858] "Visitors" refers to customers or users who visit a physical store.

[0859] "Real-time support" refers to users receiving immediate responses and assistance after entering their questions or requests.

[0860] "Terminal" refers to devices such as smartphones, smart glasses, and head-mounted displays.

[0861] "Means of providing information via screen or audio" refers to methods of conveying generated responses to users visually or audibly.

[0862] This invention is a system that uses a generative artificial intelligence model to streamline procedural support for citizens and users. This system facilitates smooth administrative procedures and in-store question-and-answer sessions, and collects and analyzes feedback. Specific embodiments are described below.

[0863] System Configuration

[0864] hardware

[0865] This system utilizes devices such as smartphones, smart glasses, and head-mounted displays. These devices receive input from the user and provide responses via screen or audio.

[0866] software

[0867] The server runs generative artificial intelligence models using OpenAI's GPT-4 API. It is also programmed in Python. The main processing steps and specific examples are shown below.

[0868] Description of processing steps

[0869] The server operates according to the following procedure:

[0870] 1. Accepting questions:

[0871] The user enters a question into the device. This question can be entered via text or voice input.

[0872] 2. Submit your question:

[0873] A question is sent from the terminal to the server. The server inputs this question into a generative artificial intelligence model.

[0874] 3. Generating the answer:

[0875] The server uses a generative artificial intelligence model to generate appropriate answers to questions. Specifically, it utilizes OpenAI's GPT-4.

[0876] 4. Providing an answer:

[0877] The server sends the generated response to the terminal, which then provides it to the user either visually or audibly.

[0878] Specific example

[0879] Support for administrative procedures

[0880] The user types "Please tell me about the transfer of residency procedures" on their smartphone.

[0881] The server sends this question to a generative artificial intelligence model (GPT-4) to retrieve the procedure details.

[0882] The device displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification document, and resident registration certificate. You can apply at the city hall counter."

[0883] In-store support

[0884] Visitors use smart glasses to voice-input a request such as, "Please tell me how to return the product."

[0885] The server sends a question to a generative artificial intelligence model, which then generates an appropriate answer.

[0886] The terminal announces to visitors via voice, "To return an item, you will need the purchase receipt and the unused item. Please go to the return counter."

[0887] Example of a prompt

[0888] Examples of inputs to a generative artificial intelligence model are as follows:

[0889] "You are an AI that answers questions about customer service at physical stores. Please answer the following questions."

[0890] Question: Please tell me about the procedure for returning a product.

[0891] This makes it possible to improve user satisfaction in administrative services and stores. The present invention is a system that allows citizens and visitors to obtain the information they need at any time, and to efficiently collect feedback.

[0892] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0893] Step 1:

[0894] The user enters a question.

[0895] Users input procedures and questions via text or voice into a device (smartphone, smart glasses, etc.). The input may include specific questions such as "Please tell me about the transfer procedures" or "Please tell me how to return a product." The input data is temporarily stored on the device.

[0896] Step 2:

[0897] The device sends the question to the server.

[0898] The terminal sends the entered question to the server. The transmitted data includes the user's question. The server parses the received question data and begins processing.

[0899] Step 3:

[0900] The server inputs a question into the generative artificial intelligence model.

[0901] The server inputs the received question into a generative artificial intelligence model (GPT-4). The input question is a prompt sentence in the format of "Please tell me about the transfer procedure." Based on this prompt sentence, the generative artificial intelligence model analyzes the data and generates an appropriate answer.

[0902] Step 4:

[0903] A generative artificial intelligence model generates the answer.

[0904] A generative artificial intelligence model generates answers in response to input question prompts. For example, it might output a specific answer such as, "To complete the transfer of residence procedure, you will need a transfer of residence form, identification, and a resident registration certificate." The generated answer data is temporarily stored on the server.

[0905] Step 5:

[0906] The server sends the generated response to the terminal.

[0907] The server sends the response obtained from the generative artificial intelligence model to the user's terminal. The transmitted data includes the generated response. For example, it might say, "The documents required for the transfer of residence procedure are the transfer of residence form, identification card, and resident registration certificate."

[0908] Step 6:

[0909] The device displays or provides the answer to the user via audio.

[0910] The device displays the response received from the server to the user. If the device has voice output capabilities, it will also provide the response verbally. For example, smart glasses might display or play the text, "To complete the transfer of residence procedure, you will need a transfer of residence form, identification, and a resident registration certificate."

[0911] Step 7:

[0912] Users can submit additional feedback or requests.

[0913] The user enters additional questions or feedback regarding the provided answers. For example, they might enter, "Please tell me the detailed procedure for transferring my residency." The device then sends this feedback back to the server. The process from step 2 is then repeated.

[0914] Through these processing steps, users can smoothly obtain information about procedures, and support and feedback can be collected efficiently. This process leads to improvements in administrative and in-store services.

[0915] 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.

[0916] This invention combines a generative artificial intelligence model and an emotion engine to efficiently support citizens' administrative procedures, thereby enhancing citizen support, providing information, and collecting feedback. This system further improves the quality of administrative services by recognizing user emotions and optimizing responses. Specific embodiments of each function are described below.

[0917] Automation of administrative procedures and emotion recognition

[0918] When a citizen enters a question about an administrative procedure, this information is sent from the terminal to the server. The server uses a generative artificial intelligence model to generate an appropriate answer to the question. Furthermore, an emotion engine analyzes the user's input and recognizes the user's emotional state. Based on the recognized emotion, the server optimizes the response, adjusting the tone and content if necessary. The generated answer is returned to the terminal and provided to the user.

[0919] Specific example:

[0920] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[0921] The server inputs this question into a generative artificial intelligence model to obtain the necessary documents and methods for the procedure.

[0922] The emotion engine recognizes anxiety and fatigue from the user's text.

[0923] The server takes the perceived emotions into account and formats the response in a gentle tone, saying, "The transfer of residency procedure is simple. You will need a transfer of residency form, identification, and a resident registration certificate. You can apply at the city hall counter."

[0924] The device will display this answer to the user.

[0925] Strengthening citizen support and emotional awareness

[0926] This system provides 24 / 7 online support. When a user enters a question about administrative services, the server generates an answer in real time using a generative artificial intelligence model, and an emotion engine analyzes the user's emotions. The information and support provided are then adjusted according to the user's emotional state.

[0927] Specific example:

[0928] The user enters, "I want to know about care services for the elderly."

[0929] The server generates information about care services using a generative artificial intelligence model.

[0930] The emotion engine recognizes feelings of confusion from user input.

[0931] The server generates a detailed and helpful response, stating, "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[0932] The device will display this answer to the user.

[0933] Emotional awareness response in information provision and awareness-raising

[0934] Local governments regularly provide policy and event information to a server. The server uses a generative artificial intelligence model to generate detailed explanations and FAQs, and an emotion engine to analyze user responses. Based on the user's emotions towards the provided information, the server optimizes the next information to be provided and the appropriate response.

[0935] Specific example:

[0936] Local governments are launching new childcare support programs.

[0937] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[0938] The device displays a link that says, "A new childcare support program has started. Click here for details."

[0939] The emotion engine analyzes user interest and responses based on user feedback and search history, and provides more detailed information and related event announcements to highly interested users.

[0940] Collecting citizen feedback and sentiment analysis

[0941] Citizens can submit feedback and requests through online forms. The server analyzes this feedback using a generative artificial intelligence model, and an emotion engine identifies the user's emotional state. Based on the recognized emotions, it generates reports to be provided to local governments.

[0942] Specific example:

[0943] A user enters into an online form that "the park is not being cleaned properly."

[0944] The server analyzes feedback using a generative artificial intelligence model and recognizes dissatisfaction and anger with an emotion engine.

[0945] Based on the recognized emotional states, the server generates a report stating that "many citizens are dissatisfied with the cleanliness of the park" and provides it to the local government.

[0946] Based on that report, local governments will consider policies to strengthen their cleaning activities.

[0947] As described above, the present invention is a system that combines a generative artificial intelligence model and an emotion engine to streamline administrative procedures for citizens, provide optimal responses based on emotions, and improve the quality of citizen support.

[0948] The following describes the processing flow.

[0949] Automation of administrative procedures and emotion recognition

[0950] Step 1:

[0951] The user types "Please tell me about the transfer of residency procedures" on their device (PC or smartphone).

[0952] Step 2:

[0953] The terminal sends the user's input data to the server.

[0954] Step 3:

[0955] The server receives input data and sends a request to the generative artificial intelligence model.

[0956] Step 4:

[0957] The generative artificial intelligence model generates the necessary information regarding the transfer procedure based on requests from the server.

[0958] Step 5:

[0959] The server receives the generated response data and sends the input data to the emotion engine.

[0960] Step 6:

[0961] The emotion engine analyzes user input to identify emotions such as anxiety and fatigue.

[0962] Step 7:

[0963] The server optimizes and edits the content and tone of the generated responses based on the recognized emotions.

[0964] Step 8:

[0965] The server sends the optimized response to the terminal.

[0966] Step 9:

[0967] The terminal displays a message to the user in a gentle tone: "The transfer of residence procedure is easy. You will need a transfer of residence form, identification, and a certificate of residence. You can apply at the city hall counter."

[0968] Strengthening citizen support and emotional awareness

[0969] Step 1:

[0970] The user enters into the terminal, "Please tell me about care services for the elderly."

[0971] Step 2:

[0972] The terminal sends the user's question to the server.

[0973] Step 3:

[0974] The server creates a request to send the user's question data to a generative artificial intelligence model.

[0975] Step 4:

[0976] The generative artificial intelligence model generates appropriate information about care services based on server requests.

[0977] Step 5:

[0978] The server receives the generated information and sends the user's input data to the emotion engine.

[0979] Step 6:

[0980] The emotion engine analyzes user input to understand emotions and recognize feelings of confusion.

[0981] Step 7:

[0982] The server adds detailed and helpful explanations to the generated responses based on the recognized emotions.

[0983] Step 8:

[0984] The server sends the edited response to the terminal.

[0985] Step 9:

[0986] The device displays the following message to the user: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[0987] Emotional awareness response in information provision and awareness-raising

[0988] Step 1:

[0989] Local governments provide information on new policies and events (e.g., childcare support programs) to the server.

[0990] Step 2:

[0991] The server receives the provided information and uses a generative artificial intelligence model to generate detailed explanations and FAQs.

[0992] Step 3:

[0993] The server registers the generated information in the database.

[0994] Step 4:

[0995] The user searches on their device for "I want to know about the new childcare support program."

[0996] Step 5:

[0997] The server searches the database for the relevant information and retrieves it.

[0998] Step 6:

[0999] The server sends the acquired information to the emotion engine, which analyzes the user's level of interest and reactions.

[1000] Step 7:

[1001] The emotion engine analyzes user interest and reactions based on user feedback and search history.

[1002] Step 8:

[1003] The server generates optimized content, including detailed information and relevant events, for users who are highly interested.

[1004] Step 9:

[1005] The server sends optimized information to the terminal.

[1006] Step 10:

[1007] The device displays a link that says, "A new childcare support program has started. Click here for details."

[1008] Collecting citizen feedback and sentiment analysis

[1009] Step 1:

[1010] A user submits feedback via an online form stating that "the park is not being cleaned properly."

[1011] Step 2:

[1012] The device sends user feedback to the server.

[1013] Step 3:

[1014] The server prepares the feedback content for analysis using a generative artificial intelligence model.

[1015] Step 4:

[1016] Generative artificial intelligence models analyze received feedback data and generate the necessary information.

[1017] Step 5:

[1018] The server sends the generated data to the emotion engine, which then analyzes the user's emotional state.

[1019] Step 6:

[1020] The emotion engine recognizes emotions such as dissatisfaction and anger from the feedback content.

[1021] Step 7:

[1022] The server compiles the analysis results, based on the recognized emotions, into a report.

[1023] Step 8:

[1024] The server transmits the data to provide the analysis results to the local government.

[1025] Step 9:

[1026] Based on the submitted reports, local governments will consider improvement measures such as strengthening cleaning activities.

[1027] (Example 2)

[1028] 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".

[1029] Current administrative procedures often require users to expend considerable time and effort to obtain necessary information, and frequently result in emotional stress. Furthermore, manual collection and analysis of feedback is highly inefficient, hindering improvements in user satisfaction. Additionally, conventional methods for providing information on local government policies and events make it difficult to deliver information based on user interests. To address these issues, prompt and appropriate responses to user questions, along with support that considers users' emotional states, are essential.

[1030] In Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for answering user questions regarding administrative procedures using a generative artificial intelligence model, means for analyzing the user's emotions and generating an optimal response based on those emotions, and means for providing necessary documents and procedural details in response to the user's questions. This makes it possible to respond quickly and appropriately to user questions and provide optimal support that takes the user's emotions into consideration. Furthermore, by automatically collecting and analyzing feedback and requests through online forms, it is possible to report problems to local governments efficiently and usefully. In addition, by optimally providing information on local government policies and events based on the user's emotions and interests, user satisfaction is improved and awareness-raising activities are carried out effectively.

[1031] A "generative artificial intelligence model" is an algorithm or program that performs natural language processing based on user input and generates appropriate responses.

[1032] A "user" is an individual or organization that uses the system to obtain information about administrative procedures and public services.

[1033] A "terminal" is a device used by users to input information or to receive and display responses from a server.

[1034] A "server" is a platform that includes generative artificial intelligence models and emotion engines, and is a central computer system that processes information from users and generates appropriate responses.

[1035] An "emotion engine" is a software system that analyzes a user's emotional state based on their input text and actions.

[1036] "Feedback" refers to the opinions and requests that users provide to a system or service.

[1037] A "local government" is a local government agency such as a city or prefecture, which provides public services to local residents.

[1038] "Awareness-raising activities" are activities that aim to deepen understanding or encourage action by providing users with specific information or knowledge.

[1039] "Response optimization" is the process of adjusting the tone and content of the generated response according to the user's emotional state and situation.

[1040] An "online form" is a web-based input screen that allows users to enter information and electronically send it to a server.

[1041] This invention combines a generative artificial intelligence model and an emotion engine to provide rapid and appropriate answers to questions from citizens regarding administrative procedures, and to respond in a way that takes user emotions into consideration. This system is implemented using the following hardware and software.

[1042] Hardware and software usage

[1043] The server has a platform that includes a generative artificial intelligence model and an emotion engine. The generative artificial intelligence model includes algorithms and programs (e.g., natural language processing models) for generating appropriate answers to user questions. The emotion engine is a software system for analyzing the emotional state of the user from their input.

[1044] A terminal is a device used by users to input information and display responses from a server. Terminals include personal computers, smartphones, and tablets, and provide an interface for users to operate the system.

[1045] Users use these terminals to access the system, enter questions about administrative procedures, and receive answers from the server.

[1046] Example of a prompt

[1047] Examples of prompt messages include: "Please tell me about the procedures for moving in," "I would like to know about care services for the elderly," and "The park is not being cleaned properly."

[1048] Specific examples and processing flow

[1049] Specific example 1: Questions about administrative procedures

[1050] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[1051] The device sends this question to the server.

[1052] The server uses a generative artificial intelligence model to generate the response, "You will need a change of address form, identification, and a resident registration certificate. You can apply for them at the city hall counter."

[1053] The emotion engine recognizes anxiety and fatigue from user input.

[1054] Based on the analysis results of the emotion engine, the server formats the response in a gentle tone, saying, "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1055] The device will display this answer to the user.

[1056] Specific example 2: Questions regarding citizen support

[1057] The user enters, "I want to know about care services for the elderly."

[1058] The device sends this question to the server.

[1059] The server uses a generative artificial intelligence model to generate the response, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment."

[1060] The emotion engine recognizes feelings of confusion from user input.

[1061] The server then formats the response, adding a clear and detailed explanation, to read: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[1062] The device will display this answer to the user.

[1063] Examples of information provision and awareness-raising activities

[1064] Specific example: Information about childcare support programs

[1065] Local governments provide new childcare support programs to a server.

[1066] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[1067] The device displays a link that says, "A new childcare support program has started. Click here for details."

[1068] The emotion engine analyzes user interest and reactions based on user feedback and search history.

[1069] The server will provide more detailed information and related events to interested users.

[1070] Through these processes, the system can streamline users' administrative procedures and provide optimal, emotion-based responses in the process. Furthermore, by analyzing feedback and optimizing information provision, it contributes to improved user satisfaction and efficient operation of local governments.

[1071] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1072] Automation of administrative procedures and emotion recognition

[1073] Specific example 1: Questions about administrative procedures

[1074] Step 1:

[1075] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[1076] Input: User's question (e.g., "Please tell me about the transfer procedures.").

[1077] Output: Question data sent to the server.

[1078] Step 2:

[1079] The device sends this question to the server.

[1080] Input: User's question data.

[1081] Output: Question data received by the server.

[1082] Step 3:

[1083] The server inputs the received question into a generative artificial intelligence model.

[1084] Input: Received question data (e.g., "Please tell me about the transfer of residency procedures").

[1085] Output: Data passed to the generative artificial intelligence model.

[1086] Step 4:

[1087] Generative artificial intelligence models generate appropriate answers.

[1088] Input: Question data received by the generative artificial intelligence model.

[1089] Data processing: Natural language processing is used to analyze the question content, search for relevant information, and generate answers.

[1090] Output: "You will need a change of address form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1091] Step 5:

[1092] The emotion engine analyzes user input and recognizes the user's emotional state.

[1093] Input: User's question data (e.g., "Please tell me about the transfer procedures").

[1094] Data processing: Perform text analysis and extract emotional components (e.g., anxiety, fatigue).

[1095] Output: Emotional state (e.g., anxiety, fatigue).

[1096] Step 6:

[1097] The server optimizes its response based on the analysis results of the emotion engine.

[1098] Input: Response data from a generative artificial intelligence model and analysis results from an emotion engine (e.g., "anxiety" and "fatigue").

[1099] Data processing: Adjust the tone and content of the responses to create a gentler tone that will put users at ease.

[1100] Output: Optimized response data (e.g., "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter.").

[1101] Step 7:

[1102] The server sends the optimized response to the terminal.

[1103] Input: Optimized response data.

[1104] Output: Response data received by the device.

[1105] Step 8:

[1106] The device will display this answer to the user.

[1107] Input: Optimized response data received from the server.

[1108] Output: The response displayed to the user (e.g., "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter.").

[1109] Strengthening citizen support and emotional awareness

[1110] Specific example 2: Questions regarding citizen support

[1111] Step 1:

[1112] The user enters, "I want to know about care services for the elderly."

[1113] Input: User's question (e.g., "I want to know about care services for the elderly").

[1114] Output: Question data sent to the server.

[1115] Step 2:

[1116] The device sends this question to the server.

[1117] Input: User's question data.

[1118] Output: Question data received by the server.

[1119] Step 3:

[1120] The server inputs a question into a generative artificial intelligence model.

[1121] Input: Received question data.

[1122] Output: Data passed to the generative artificial intelligence model.

[1123] Step 4:

[1124] Generative artificial intelligence models generate appropriate answers.

[1125] Input: Question data.

[1126] Data processing: Use natural language processing to search for relevant care service information and generate responses.

[1127] Output: The response data states, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment."

[1128] Step 5:

[1129] The emotion engine recognizes feelings of confusion from the user's input.

[1130] Input: Question data.

[1131] Data processing: Extract emotional components (e.g., confusion) through text analysis.

[1132] Output: Emotional state (e.g., confused).

[1133] Step 6:

[1134] The server optimizes its response based on the analysis results of the emotion engine.

[1135] Input: Response data from a generative artificial intelligence model and analysis results from an emotion engine.

[1136] Data processing: Make the responses more detailed and add explanations to reassure the user.

[1137] Output: Optimized response data: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[1138] Step 7:

[1139] The server sends the optimized response to the terminal.

[1140] Input: Optimized response data.

[1141] Output: Response data received by the device.

[1142] Step 8:

[1143] The device will display this answer to the user.

[1144] Input: Optimized response data.

[1145] Output: Response displayed to the user (Example: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured.").

[1146] By explaining each processing step in detail, including specific actions, it becomes clear what kind of data processing and calculations are necessary, and how the optimal response is generated and provided.

[1147] (Application Example 2)

[1148] 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."

[1149] Conventional administrative procedure support systems have limitations in generating appropriate answers to the diverse questions of citizens, and in particular, they fail to optimize responses based on citizens' emotions. Furthermore, in situations where immediate responses are required regarding the security of buildings and facilities, the failure to provide effective responses that take emotions into account led to a decline in the quality of security responses.

[1150] 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. In this invention, the server includes means for answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and details of procedures in response to citizens' questions, and means for analyzing citizens' emotional states and optimizing responses. This enables not only the generation of optimal answers to citizens' questions but also the optimization of responses according to emotions, and in particular, enables effective immediate responses regarding the security of buildings and facilities.

[1151] A "generative artificial intelligence model" is a type of artificial intelligence that can generate new answers and information based on past data.

[1152] "Citizen" refers to an individual residing within a local government area who has the right to receive administrative services.

[1153] An "emotion engine" is a system that analyzes a user's emotional state from text or voice input and automatically takes appropriate action based on those emotions.

[1154] "Device" refers to information and communication devices such as smartphones, tablets, smart glasses, or personal computers.

[1155] "Feedback" refers to information such as opinions, requests, and evaluations provided by citizens who have used the service.

[1156] An "online form" is a web-based screen or application screen used to input and submit information via the internet.

[1157] A "local government" is a regional administrative organization such as a city, town, or village, which provides various administrative services to its citizens.

[1158] "Awareness-raising activities" are information dissemination activities aimed at providing citizens with information on administrative policies and events to deepen their understanding.

[1159] "Security" refers to the functions and activities that ensure safety and protection within buildings and facilities.

[1160] "Optimizing responses" is the process of adjusting the information and content of responses provided according to the user's emotions and circumstances.

[1161] This invention uses a system that combines a generative artificial intelligence model and an emotion engine to efficiently support citizens' administrative procedures, enhance citizen support, provide information, and address security issues.

[1162] System Configuration

[1163] hardware

[1164] Devices used: Smartphones, smart glasses, tablets, or personal computers.

[1165] Server: A high-performance computer system for running generative artificial intelligence models and emotion engines.

[1166] software

[1167] Generative artificial intelligence models: Artificial intelligence that generates new answers and information based on past data. A specific example is GPT-4.

[1168] Emotion engine: Software that analyzes the user's emotional state from their input and provides the optimal response. A specific example is Affectiva.

[1169] Program processing details

[1170] Receiving input data

[1171] Users input questions and reports regarding administrative procedures and security into a terminal via their smartphone or smart glasses. This input data is transmitted to the server in real time.

[1172] Data Analysis

[1173] The server inputs the received data into a generative artificial intelligence model to generate appropriate responses and procedures. Simultaneously, an emotion engine analyzes the user's emotional state from their input text or voice. For example, a report such as "I saw a suspicious person" might be determined to contain an element of anxiety.

[1174] Optimizing response

[1175] The server adjusts the tone of its response based on the perceived emotional state. For example, if anxiety is detected, the response will be reassuring, such as, "We've received your message. We've notified other security personnel, and support will be arriving shortly."

[1176] Data Feedback

[1177] User feedback is sent back to the server and analyzed by a generative artificial intelligence model. Based on the sentiment analysis results from the sentiment engine, a report is generated for local governments. This allows for the identification of common problems and the implementation of appropriate countermeasures.

[1178] Specific example

[1179] 1. Administrative procedures

[1180] When a user types "Please tell me about the transfer of residency procedure" into their terminal, the server generates the necessary documents and instructions, and uses an emotion engine to recognize the user's anxiety. It then provides a gentle response: "The transfer of residency procedure is simple. You will need a transfer of residency form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1181] 2. Security measures

[1182] A security guard reports, "I've seen a suspicious person," through smart glasses. The server generates emergency response procedures and recognizes the guard's anxiety using an emotion engine. The response is then adjusted to, "Confirmed. We have notified other security guards, and support will arrive shortly."

[1183] 3. Feedback Collection and Analysis

[1184] Users submit their complaints about the cleanliness of parks through an online form. The server analyzes the feedback using a generative artificial intelligence model and recognizes the dissatisfaction with an emotion engine. It then provides a report to the local government stating that "many citizens are dissatisfied with the cleanliness of parks," facilitating the consideration of countermeasures.

[1185] Example of a prompt

[1186] Recognize the user's emotional state and generate responses based on their inquiries. For example, if you receive a message saying, "I saw a suspicious person," respond in a reassuring tone if the user is expressing anxiety. Generate a message such as, "We've checked on this. We've notified other security personnel, and support will be arriving shortly."

[1187] This makes it possible for the system of the present invention to provide efficient and emotionally responsive responses to citizens' questions and reports, thereby improving the quality of security responses.

[1188] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1189] Step 1:

[1190] Users input questions and reports regarding administrative procedures and security using their smartphones or smart glasses. The input data is sent to the server in text format. Examples of input include "Please tell me about the procedures for moving in" and "I saw a suspicious person."

[1191] Step 2:

[1192] The server inputs the received data into a generative artificial intelligence model (e.g., GPT-4) to generate appropriate answers and procedures based on the questions and reports. The generated answers are stored in an internal data structure and linked to the next process. For example, it might generate, "For transfer procedures, the required documents are a transfer notification form, identification card, and resident registration certificate."

[1193] Step 3:

[1194] The server uses an emotion engine (e.g., Affectiva) to analyze the user's emotional state from their input text or voice. Once the emotion engine analyzes the data, it identifies emotions such as anxiety, anger, and surprise, and adds the analysis results to the server's internal data structure. For example, the emotion of anxiety might be recognized from the phrase "I saw a suspicious person."

[1195] Step 4:

[1196] The server adjusts the generated response content and tone based on the recognized emotional state. If the emotion is recognized as anxiety, the response is changed to a reassuring tone, such as "Confirmed. I have notified other security personnel, and support will arrive shortly." The adjusted response is then updated in the internal data structure.

[1197] Step 5:

[1198] The server sends the final generated response and tone to the terminal. This allows the user to see optimized answers to their questions and reports in real time. For example, a friendly response might appear saying, "The transfer process is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1199] Step 6:

[1200] User feedback and additional reports are sent to the server. The feedback is received via an online form and analyzed again by a generative artificial intelligence model and sentiment engine. This generates reports based on citizens' sentiments and requests, which are then provided to local governments. For example, if there is feedback that "parks are not kept clean," this is recognized as a problem raised by many citizens.

[1201] 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.

[1202] 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.

[1203] 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.

[1204] [Third Embodiment]

[1205] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[1206] 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.

[1207] 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).

[1208] 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.

[1209] 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.

[1210] 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).

[1211] 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.

[1212] 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.

[1213] 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.

[1214] 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.

[1215] 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.

[1216] 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".

[1217] This invention is a system that uses a generative artificial intelligence model to efficiently support citizens' administrative procedures, thereby enhancing citizen support, providing information, and collecting feedback. This system will achieve increased efficiency and cost reduction in administrative services, improved transparency and accessibility of information, and promotion of citizen participation. Specific embodiments of each function are described below.

[1218] Automation of administrative procedures

[1219] When a citizen enters a question about an administrative procedure, this information is sent from the terminal to the server. The server uses a generative artificial intelligence model (e.g., GPT-4 utilizing natural language processing) to generate an appropriate answer to the question. The generated answer is returned to the terminal and provided to the user.

[1220] Specific example:

[1221] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[1222] The server inputs this question into a generative artificial intelligence model to obtain the necessary documents and methods for the procedure.

[1223] The terminal displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1224] Strengthening support for citizens

[1225] This system provides 24 / 7 online support. When a user enters a question about administrative services, the server uses a generative artificial intelligence model to generate an answer in real time and provides it to the user.

[1226] Specific example:

[1227] The user types "Please tell me about care services for the elderly" on their device.

[1228] The server generates appropriate information about care services using a generative artificial intelligence model.

[1229] The device displays the user with the message, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an examination."

[1230] Information provision and awareness

[1231] Local governments regularly provide information on policies and events to a server. The server analyzes this information using a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs). This information is registered in a database and made easily accessible to users when needed.

[1232] Specific example:

[1233] Local governments are launching new childcare support programs.

[1234] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[1235] The device displays a link that says, "A new childcare support program has started. Click here for details."

[1236] Collecting citizen feedback

[1237] Citizens can submit feedback and requests through online forms. The server analyzes this feedback using a generative artificial intelligence model to extract common problems and areas for improvement. The resulting data is provided to local governments to help improve policies and services.

[1238] Specific example:

[1239] A user enters into an online form that "the park is not being cleaned properly."

[1240] The server aggregates other similar feedback and analyzes common problems using a generative artificial intelligence model.

[1241] Based on data showing that "many citizens are dissatisfied with the cleanliness of parks," local governments decide to strengthen cleaning activities.

[1242] As described above, this invention utilizes a generative artificial intelligence model to automate administrative procedures, enhance citizen support, provide information, and collect feedback. This significantly improves the overall efficiency of administrative services and citizen satisfaction.

[1243] The following describes the processing flow.

[1244] Automation of administrative procedures

[1245] Step 1:

[1246] The user types "Please tell me about the transfer of residency procedures" on their device (PC or smartphone).

[1247] Step 2:

[1248] The terminal sends the user's input data to the server.

[1249] Step 3:

[1250] The server receives input data and sends a request to a generative artificial intelligence model (e.g., GPT-4).

[1251] Step 4:

[1252] The generative artificial intelligence model generates the necessary information regarding the transfer procedure based on the request received from the server.

[1253] Step 5:

[1254] The server receives the response from the generative artificial intelligence model and formats it into a format that can be provided to the user.

[1255] Step 6:

[1256] The server sends the formatted information to the terminal.

[1257] Step 7:

[1258] The terminal displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1259] Strengthening support for citizens

[1260] Step 1:

[1261] The user enters into the terminal, "Please tell me about care services for the elderly."

[1262] Step 2:

[1263] The terminal sends the user's question to the server.

[1264] Step 3:

[1265] The server creates a request to send the user's question data to a generative artificial intelligence model.

[1266] Step 4:

[1267] The generative artificial intelligence model generates appropriate information about care services based on server requests.

[1268] Step 5:

[1269] The server receives the generated information and converts it into a format that can be provided to the user.

[1270] Step 6:

[1271] The server sends the converted information to the terminal.

[1272] Step 7:

[1273] The device displays the user with the message, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an examination."

[1274] Information provision and awareness

[1275] Step 1:

[1276] Local governments provide information on new policies and events (e.g., childcare support programs) to the server.

[1277] Step 2:

[1278] The server receives the provided information and uses a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs).

[1279] Step 3:

[1280] The server registers the generated information in the database.

[1281] Step 4:

[1282] The user searches on their device for "I want to know about the new childcare support program."

[1283] Step 5:

[1284] The server searches the database for the relevant information and retrieves it.

[1285] Step 6:

[1286] The server sends the acquired information to the terminal.

[1287] Step 7:

[1288] The device displays a link with the message, "A new childcare support program has started. Click here for details."

[1289] Collecting citizen feedback

[1290] Step 1:

[1291] A user submits feedback via an online form stating that "the park is not being cleaned properly."

[1292] Step 2:

[1293] The device sends user feedback to the server.

[1294] Step 3:

[1295] The server prepares the feedback content for analysis using a generative artificial intelligence model.

[1296] Step 4:

[1297] Generative artificial intelligence models analyze received feedback data to extract common problems and areas for improvement.

[1298] Step 5:

[1299] The server compiles the analysis results into a report.

[1300] Step 6:

[1301] The server sends the analysis results to the local government.

[1302] Step 7:

[1303] Local governments use the submitted reports to improve policies and services.

[1304] (Example 1)

[1305] 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."

[1306] In the current administrative procedure system, users must go through many steps to complete procedures smoothly, which is very time-consuming and laborious. Furthermore, properly handling user questions and feedback, and providing information and support, relies heavily on human intervention, which often leads to delays. In addition, there is no standardized method for analyzing the collected feedback to effectively utilize it. These challenges reduce the efficiency of administrative services and decrease user satisfaction.

[1307] 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.

[1308] In this invention, the server includes means for answering user questions regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and procedural details in response to user questions, means for collecting feedback and requests from users through online forms and analyzing them with a generative artificial intelligence model, and means for providing information on public institutions' policies and events and conducting awareness campaigns for users. This enables the automation of administrative procedures, enhanced user support, efficient information provision, and effective utilization of feedback.

[1309] A "generative artificial intelligence model" is an algorithm that uses natural language processing techniques to understand questions and feedback from users and generate appropriate answers.

[1310] "Users" refers to citizens or individuals who engage in administrative procedures, provide information, collect feedback, etc.

[1311] "Documents" include official documents such as application forms and certificates required for administrative procedures.

[1312] An "online form" is an electronic input form that users can enter and submit via the internet.

[1313] "Feedback" refers to information such as opinions, requests, and evaluations provided by users.

[1314] "Public institutions" refer to government agencies and organizations that provide administrative services, including local governments.

[1315] A "policy" refers to a policy or program implemented by a public institution.

[1316] "Event information" refers to information about events and activities organized by public institutions.

[1317] "Awareness-raising activities" refer to activities that spread knowledge and information to users.

[1318] "Automation" refers to performing a series of processes without human intervention using technologies such as artificial intelligence.

[1319] A "database" is an electronic information aggregation system used to efficiently manage, search, and utilize collected information and data.

[1320] "Analysis" refers to the process of examining collected data in detail and extracting its meaning and value.

[1321] Modes for carrying out the invention

[1322] This invention is a system that uses a generative artificial intelligence model to efficiently support administrative procedures for citizens, thereby enhancing user support, providing information, and collecting feedback. This system will achieve increased efficiency and cost reduction in administrative services, improved transparency and access to information, and promotion of citizen participation.

[1323] Automation of administrative procedures

[1324] When a user enters a question about administrative procedures on their device, this information is sent from the device to the server. The server uses a generative artificial intelligence model (e.g., GPT-4 using natural language processing techniques) to generate an appropriate answer to the question. The generated answer is then sent back to the device and provided to the user.

[1325] Specific example:

[1326] The user types "Please tell me about the transfer of residency procedure" into the terminal. The terminal sends this question to the server. The server inputs this question into a generative artificial intelligence model and retrieves the necessary documents and methods for the procedure. The terminal displays to the user "To complete the transfer of residency procedure, you will need a transfer of residency notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1327] Example of a prompt:

[1328] "Please provide information regarding the transfer of residency procedures."

[1329] Strengthening support for citizens

[1330] When a user enters a question about administrative services from a terminal, the server uses a generative artificial intelligence model to generate an answer in real time and provides it to the user. This enables 24 / 7 online support.

[1331] Specific example:

[1332] The user types "Please tell me about care services for the elderly" into their device. The device sends this question to the server. The server uses a generative artificial intelligence model to generate appropriate information about care services. The device then displays to the user, "To receive care certification, you need to apply to the city's care certification office and undergo an assessment."

[1333] Example of a prompt:

[1334] "Please provide information regarding care services for the elderly."

[1335] Information provision and awareness

[1336] Local governments regularly provide information on policies and events to a server. The server analyzes this information using a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs). This information is registered in a database and made easily accessible to users when needed.

[1337] Specific example:

[1338] A local government launches a new childcare support program. The server analyzes this information and generates specific details using a generative artificial intelligence model. The terminal displays a link saying, "A new childcare support program has been launched. Click here for details."

[1339] Example of a prompt:

[1340] "Please provide more information about the new childcare support program."

[1341] Collecting citizen feedback

[1342] Users can submit feedback and requests through an online form. The server analyzes this feedback using a generative artificial intelligence model to extract common problems and areas for improvement. The resulting data is provided to local governments to help improve policies and services.

[1343] Specific example:

[1344] A user enters a statement into an online form saying, "The park is not being cleaned properly." The device sends this feedback to a server. The server analyzes similar feedback using a generative artificial intelligence model and identifies common problems. Based on the data showing that "many citizens are dissatisfied with the cleanliness of the park," the local government decides to strengthen cleaning activities.

[1345] Example of a prompt:

[1346] "Please identify common problems based on feedback from citizens."

[1347] As described above, the present invention utilizes a generative artificial intelligence model to automate administrative procedures, enhance citizen support, provide information, and collect feedback, thereby significantly improving the overall efficiency of administrative services and citizen satisfaction.

[1348] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1349] Automation of administrative procedures

[1350] Step 1:

[1351] The user enters questions about administrative procedures into the terminal.

[1352] Input: User-generated text (e.g., "Please tell me about the transfer procedures.")

[1353] Output: The terminal temporarily saves the input.

[1354] Step 2:

[1355] The terminal sends the entered question to the server.

[1356] Input: User questions saved on the device

[1357] Output: User questions forwarded to the server

[1358] Step 3:

[1359] The server receives the question and inputs it as a prompt to the generative artificial intelligence model.

[1360] Input: User questions received by the server (as prompts)

[1361] Data processing: A generative artificial intelligence model analyzes the prompt text and generates relevant information.

[1362] Output: Generated response (Example: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification document, and resident registration certificate. You can apply at the city hall counter.")

[1363] Step 4:

[1364] The server sends the generated response to the terminal.

[1365] Input: Answer generated by a generative artificial intelligence model

[1366] Output: Answer sent to the terminal

[1367] Step 5:

[1368] The device displays the submitted response to the user.

[1369] Input: Response received from the server

[1370] Output: Answer displayed to the user

[1371] Strengthening support for citizens

[1372] Step 1:

[1373] The user enters a question about administrative services into the terminal.

[1374] Input: User-generated text (e.g., "Please tell me about care services for the elderly.")

[1375] Output: The terminal temporarily saves the input.

[1376] Step 2:

[1377] The terminal sends the entered question to the server.

[1378] Input: User questions saved on the device

[1379] Output: User questions forwarded to the server

[1380] Step 3:

[1381] The server receives the question and inputs it as a prompt to the generative artificial intelligence model.

[1382] Input: User questions received by the server (as prompts)

[1383] Data processing: A generative artificial intelligence model analyzes the prompt text and generates relevant information.

[1384] Output: Generated response (Example: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment.")

[1385] Step 4:

[1386] The server sends the generated response to the terminal.

[1387] Input: Answer generated by a generative artificial intelligence model

[1388] Output: Answer sent to the terminal

[1389] Step 5:

[1390] The device displays the submitted response to the user.

[1391] Input: Response received from the server

[1392] Output: Answer displayed to the user

[1393] Information provision and awareness

[1394] Step 1:

[1395] The server provides information on local government policies and events.

[1396] Input: Policy and event information (text format)

[1397] Output: Information sent to the server

[1398] Step 2:

[1399] The server analyzes the provided information using a generative artificial intelligence model.

[1400] Input: Policy and event information received by the server

[1401] Data Processing: Generative artificial intelligence models analyze the information and generate detailed explanations and FAQs.

[1402] Output: Generated descriptions and FAQs

[1403] Step 3:

[1404] The server registers the generated explanations and FAQs in a database.

[1405] Input: Descriptions and FAQs generated by a generative artificial intelligence model.

[1406] Output: Information registered in the database

[1407] Step 4:

[1408] Users access information via their devices when needed.

[1409] Input: User-generated information search (e.g., "new childcare support program")

[1410] Output: Information extracted from the database is displayed to the user.

[1411] Collecting citizen feedback

[1412] Step 1:

[1413] Users submit feedback and requests through online forms.

[1414] Input: Text input of user feedback or requests (e.g., "The park is not being cleaned properly")

[1415] Output: The terminal temporarily saves the input.

[1416] Step 2:

[1417] The terminal sends the input feedback to the server.

[1418] Input: Feedback saved on the device

[1419] Output: Feedback transferred to the server

[1420] Step 3:

[1421] The server analyzes the feedback using a generative artificial intelligence model to extract common problems and areas for improvement.

[1422] Input: Feedback received by the server

[1423] Data processing: Generative artificial intelligence models analyze feedback and extract common problems.

[1424] Output: Common problems and areas for improvement identified

[1425] Step 4:

[1426] The server provides the extracted data to local governments.

[1427] Input: Data extracted by a generative artificial intelligence model.

[1428] Output: Data provided to local governments

[1429] Step 5:

[1430] Local governments use the provided data to improve policies and services.

[1431] Input: Data provided by the server

[1432] Output: Improved policies and services

[1433] The above processing steps enable the automation of administrative procedures, enhanced citizen support, efficient information provision, and effective utilization of feedback.

[1434] (Application Example 1)

[1435] 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."

[1436] In traditional government services and physical stores, a challenge has been the inability of users to smoothly handle procedures and inquiries. In particular, it was difficult for users to obtain necessary information outside of business hours or during times when staff were unavailable. Furthermore, efficiently collecting and addressing user feedback was also challenging.

[1437] 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.

[1438] In this invention, the server includes means for answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and procedural details in response to citizens' questions, means for collecting feedback and requests from citizens through online forms and analyzing them with a generative artificial intelligence model, means for providing real-time support for procedures and questions within the store by allowing visitors to input questions, and means for generating appropriate answers to visitors' questions using a terminal and a generative artificial intelligence model, and providing the answers on screen or by voice. As a result, users can obtain the information they need at any time, feedback can be collected efficiently, and administrative services and store operations can be improved.

[1439] A "generative artificial intelligence model" is an artificial intelligence model that has the ability to generate natural language based on a large amount of data.

[1440] "Citizens" refers to ordinary citizens and residents who use administrative services.

[1441] "Administrative procedures" refer to various procedures, applications, notifications, and other services provided by local governments and government agencies.

[1442] "Details of required documents and procedures" refers to specific information about the documents, procedures, and steps required to use a particular administrative service or service.

[1443] An "online form" is an electronic form that users can input and submit via the internet.

[1444] "Feedback and requests" refers to information such as opinions, impressions, suggestions, and requests for improvement from users.

[1445] "Analyzing with a generative artificial intelligence model" means that an artificial intelligence model analyzes the collected data and extracts patterns and trends.

[1446] "Visitors" refers to customers or users who visit a physical store.

[1447] "Real-time support" refers to users receiving immediate responses and assistance after entering their questions or requests.

[1448] "Terminal" refers to devices such as smartphones, smart glasses, and head-mounted displays.

[1449] "Means of providing information via screen or audio" refers to methods of conveying generated responses to users visually or audibly.

[1450] This invention is a system that uses a generative artificial intelligence model to streamline procedural support for citizens and users. This system facilitates smooth administrative procedures and in-store question-and-answer sessions, and collects and analyzes feedback. Specific embodiments are described below.

[1451] System Configuration

[1452] hardware

[1453] This system utilizes devices such as smartphones, smart glasses, and head-mounted displays. These devices receive input from the user and provide responses via screen or audio.

[1454] software

[1455] The server runs generative artificial intelligence models using OpenAI's GPT-4 API. It is also programmed in Python. The main processing steps and specific examples are shown below.

[1456] Description of processing steps

[1457] The server operates according to the following procedure:

[1458] 1. Accepting questions:

[1459] The user enters a question into the device. This question can be entered via text or voice input.

[1460] 2. Submit your question:

[1461] A question is sent from the terminal to the server. The server inputs this question into a generative artificial intelligence model.

[1462] 3. Generating the answer:

[1463] The server uses a generative artificial intelligence model to generate appropriate answers to questions. Specifically, it utilizes OpenAI's GPT-4.

[1464] 4. Providing an answer:

[1465] The server sends the generated response to the terminal, which then provides it to the user either visually or audibly.

[1466] Specific example

[1467] Support for administrative procedures

[1468] The user types "Please tell me about the transfer of residency procedures" on their smartphone.

[1469] The server sends this question to a generative artificial intelligence model (GPT-4) to retrieve the procedure details.

[1470] The device displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification document, and resident registration certificate. You can apply at the city hall counter."

[1471] In-store support

[1472] Visitors use smart glasses to voice-input a request such as, "Please tell me how to return the product."

[1473] The server sends a question to a generative artificial intelligence model, which then generates an appropriate answer.

[1474] The terminal announces to visitors via voice, "To return an item, you will need the purchase receipt and the unused item. Please go to the return counter."

[1475] Example of a prompt

[1476] Examples of inputs to a generative artificial intelligence model are as follows:

[1477] "You are an AI that answers questions about customer service at physical stores. Please answer the following questions."

[1478] Question: Please tell me about the procedure for returning a product.

[1479] This makes it possible to improve user satisfaction in administrative services and stores. The present invention is a system that allows citizens and visitors to obtain the information they need at any time, and to efficiently collect feedback.

[1480] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1481] Step 1:

[1482] The user enters a question.

[1483] Users input procedures and questions via text or voice into a device (smartphone, smart glasses, etc.). The input may include specific questions such as "Please tell me about the transfer procedures" or "Please tell me how to return a product." The input data is temporarily stored on the device.

[1484] Step 2:

[1485] The device sends the question to the server.

[1486] The terminal sends the entered question to the server. The transmitted data includes the user's question. The server parses the received question data and begins processing.

[1487] Step 3:

[1488] The server inputs a question into the generative artificial intelligence model.

[1489] The server inputs the received question into a generative artificial intelligence model (GPT-4). The input question is a prompt sentence in the format of "Please tell me about the transfer procedure." Based on this prompt sentence, the generative artificial intelligence model analyzes the data and generates an appropriate answer.

[1490] Step 4:

[1491] A generative artificial intelligence model generates the answer.

[1492] A generative artificial intelligence model generates answers in response to input question prompts. For example, it might output a specific answer such as, "To complete the transfer of residence procedure, you will need a transfer of residence form, identification, and a resident registration certificate." The generated answer data is temporarily stored on the server.

[1493] Step 5:

[1494] The server sends the generated response to the terminal.

[1495] The server sends the response obtained from the generative artificial intelligence model to the user's terminal. The transmitted data includes the generated response. For example, it might say, "The documents required for the transfer of residence procedure are the transfer of residence form, identification card, and resident registration certificate."

[1496] Step 6:

[1497] The device displays or provides the answer to the user via audio.

[1498] The device displays the response received from the server to the user. If the device has voice output capabilities, it will also provide the response verbally. For example, smart glasses might display or play the text, "To complete the transfer of residence procedure, you will need a transfer of residence form, identification, and a resident registration certificate."

[1499] Step 7:

[1500] Users can submit additional feedback or requests.

[1501] The user enters additional questions or feedback regarding the provided answers. For example, they might enter, "Please tell me the detailed procedure for transferring my residency." The device then sends this feedback back to the server. The process from step 2 is then repeated.

[1502] Through the above processing steps, users can smoothly obtain information about procedures, and support and feedback can be collected efficiently. This process leads to improvements in administrative and in-store services.

[1503] 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.

[1504] This invention combines a generative artificial intelligence model and an emotion engine to efficiently support citizens' administrative procedures, thereby enhancing citizen support, providing information, and collecting feedback. This system further improves the quality of administrative services by recognizing user emotions and optimizing responses. Specific embodiments of each function are described below.

[1505] Automation of administrative procedures and emotion recognition

[1506] When a citizen enters a question about an administrative procedure, this information is sent from the terminal to the server. The server uses a generative artificial intelligence model to generate an appropriate answer to the question. Furthermore, an emotion engine analyzes the user's input and recognizes the user's emotional state. Based on the recognized emotion, the server optimizes the response, adjusting the tone and content if necessary. The generated answer is returned to the terminal and provided to the user.

[1507] Specific example:

[1508] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[1509] The server inputs this question into a generative artificial intelligence model to obtain the necessary documents and methods for the procedure.

[1510] The emotion engine recognizes anxiety and fatigue from the user's text.

[1511] The server takes the perceived emotions into account and formats the response in a gentle tone, saying, "The transfer of residency procedure is simple. You will need a transfer of residency form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1512] The device will display this answer to the user.

[1513] Strengthening citizen support and emotional awareness

[1514] This system provides 24 / 7 online support. When a user enters a question about administrative services, the server generates an answer in real time using a generative artificial intelligence model, and an emotion engine analyzes the user's emotions. The information and support provided are then adjusted according to the user's emotional state.

[1515] Specific example:

[1516] The user enters, "I want to know about care services for the elderly."

[1517] The server generates information about care services using a generative artificial intelligence model.

[1518] The emotion engine recognizes feelings of confusion from user input.

[1519] The server generates a detailed and helpful response, stating, "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[1520] The device will display this answer to the user.

[1521] Emotional awareness response in information provision and awareness-raising

[1522] Local governments regularly provide policy and event information to a server. The server uses a generative artificial intelligence model to generate detailed explanations and FAQs, and an emotion engine to analyze user responses. Based on the user's emotions towards the provided information, the server optimizes the next information to be provided and the appropriate response.

[1523] Specific example:

[1524] Local governments are launching new childcare support programs.

[1525] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[1526] The device displays a link that says, "A new childcare support program has started. Click here for details."

[1527] The emotion engine analyzes user interest and responses based on user feedback and search history, and provides more detailed information and related event announcements to highly interested users.

[1528] Collecting citizen feedback and sentiment analysis

[1529] Citizens can submit feedback and requests through online forms. The server analyzes this feedback using a generative artificial intelligence model, and an emotion engine identifies the user's emotional state. Based on the recognized emotions, it generates reports to be provided to local governments.

[1530] Specific example:

[1531] A user enters into an online form that "the park is not being cleaned properly."

[1532] The server analyzes feedback using a generative artificial intelligence model and recognizes dissatisfaction and anger with an emotion engine.

[1533] Based on the recognized emotional states, the server generates a report stating that "many citizens are dissatisfied with the cleanliness of the park" and provides it to the local government.

[1534] Based on that report, local governments will consider policies to strengthen their cleaning activities.

[1535] As described above, the present invention is a system that combines a generative artificial intelligence model and an emotion engine to streamline administrative procedures for citizens, provide optimal responses based on emotions, and improve the quality of citizen support.

[1536] The following describes the processing flow.

[1537] Automation of administrative procedures and emotion recognition

[1538] Step 1:

[1539] The user types "Please tell me about the transfer of residency procedures" on their device (PC or smartphone).

[1540] Step 2:

[1541] The terminal sends the user's input data to the server.

[1542] Step 3:

[1543] The server receives input data and sends a request to the generative artificial intelligence model.

[1544] Step 4:

[1545] The generative artificial intelligence model generates the necessary information regarding the transfer procedure based on requests from the server.

[1546] Step 5:

[1547] The server receives the generated response data and sends the input data to the emotion engine.

[1548] Step 6:

[1549] The emotion engine analyzes user input to identify emotions such as anxiety and fatigue.

[1550] Step 7:

[1551] The server optimizes and edits the content and tone of the generated responses based on the recognized emotions.

[1552] Step 8:

[1553] The server sends the optimized response to the terminal.

[1554] Step 9:

[1555] The terminal displays a message to the user in a gentle tone: "The transfer of residence procedure is easy. You will need a transfer of residence form, identification, and a certificate of residence. You can apply at the city hall counter."

[1556] Strengthening citizen support and emotional awareness

[1557] Step 1:

[1558] The user enters into the terminal, "Please tell me about care services for the elderly."

[1559] Step 2:

[1560] The terminal sends the user's question to the server.

[1561] Step 3:

[1562] The server creates a request to send the user's question data to a generative artificial intelligence model.

[1563] Step 4:

[1564] The generative artificial intelligence model generates appropriate information about care services based on server requests.

[1565] Step 5:

[1566] The server receives the generated information and sends the user's input data to the emotion engine.

[1567] Step 6:

[1568] The emotion engine analyzes user input to understand emotions and recognize feelings of confusion.

[1569] Step 7:

[1570] The server adds detailed and helpful explanations to the generated responses based on the recognized emotions.

[1571] Step 8:

[1572] The server sends the edited response to the terminal.

[1573] Step 9:

[1574] The device displays the following message to the user: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[1575] Emotional awareness response in information provision and awareness-raising

[1576] Step 1:

[1577] Local governments provide information on new policies and events (e.g., childcare support programs) to the server.

[1578] Step 2:

[1579] The server receives the provided information and uses a generative artificial intelligence model to generate detailed explanations and FAQs.

[1580] Step 3:

[1581] The server registers the generated information in the database.

[1582] Step 4:

[1583] The user searches on their device for "I want to know about the new childcare support program."

[1584] Step 5:

[1585] The server searches the database for the relevant information and retrieves it.

[1586] Step 6:

[1587] The server sends the acquired information to the emotion engine, which analyzes the user's level of interest and reactions.

[1588] Step 7:

[1589] The emotion engine analyzes user interest and reactions based on user feedback and search history.

[1590] Step 8:

[1591] The server generates optimized content, including detailed information and relevant events, for users who are highly interested.

[1592] Step 9:

[1593] The server sends optimized information to the terminal.

[1594] Step 10:

[1595] The device displays a link that says, "A new childcare support program has started. Click here for details."

[1596] Collecting citizen feedback and sentiment analysis

[1597] Step 1:

[1598] A user submits feedback via an online form stating that "the park is not being cleaned properly."

[1599] Step 2:

[1600] The device sends user feedback to the server.

[1601] Step 3:

[1602] The server prepares the feedback content for analysis using a generative artificial intelligence model.

[1603] Step 4:

[1604] Generative artificial intelligence models analyze received feedback data and generate the necessary information.

[1605] Step 5:

[1606] The server sends the generated data to the emotion engine, which then analyzes the user's emotional state.

[1607] Step 6:

[1608] The emotion engine recognizes emotions such as dissatisfaction and anger from the feedback content.

[1609] Step 7:

[1610] The server compiles the analysis results, based on the recognized emotions, into a report.

[1611] Step 8:

[1612] The server transmits the data to provide the analysis results to the local government.

[1613] Step 9:

[1614] Based on the submitted reports, local governments will consider improvement measures such as strengthening cleaning activities.

[1615] (Example 2)

[1616] 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."

[1617] Current administrative procedures often require users to expend considerable time and effort to obtain necessary information, and frequently result in emotional stress. Furthermore, manual collection and analysis of feedback is highly inefficient, hindering improvements in user satisfaction. Additionally, conventional methods for providing information on local government policies and events make it difficult to deliver information based on user interests. To address these issues, prompt and appropriate responses to user questions, along with support that considers users' emotional states, are essential.

[1618] In Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for answering user questions regarding administrative procedures using a generative artificial intelligence model, means for analyzing the user's emotions and generating an optimal response based on those emotions, and means for providing necessary documents and procedural details in response to the user's questions. This makes it possible to respond quickly and appropriately to user questions and provide optimal support that takes the user's emotions into consideration. Furthermore, by automatically collecting and analyzing feedback and requests through online forms, it is possible to report problems to local governments efficiently and usefully. In addition, by optimally providing information on local government policies and events based on the user's emotions and interests, user satisfaction is improved and awareness-raising activities are carried out effectively.

[1619] A "generative artificial intelligence model" is an algorithm or program that performs natural language processing based on user input and generates appropriate responses.

[1620] A "user" is an individual or organization that uses the system to obtain information about administrative procedures and public services.

[1621] A "terminal" is a device used by users to input information or to receive and display responses from a server.

[1622] A "server" is a platform that includes generative artificial intelligence models and emotion engines, and is a central computer system that processes information from users and generates appropriate responses.

[1623] An "emotion engine" is a software system that analyzes a user's emotional state based on their input text and actions.

[1624] "Feedback" refers to the opinions and requests that users provide to a system or service.

[1625] A "local government" is a local government agency such as a city or prefecture, which provides public services to local residents.

[1626] "Awareness-raising activities" are activities that aim to deepen understanding or encourage action by providing users with specific information or knowledge.

[1627] "Response optimization" is the process of adjusting the tone and content of the generated response according to the user's emotional state and situation.

[1628] An "online form" is a web-based input screen that allows users to enter information and electronically send it to a server.

[1629] This invention combines a generative artificial intelligence model and an emotion engine to provide rapid and appropriate answers to questions from citizens regarding administrative procedures, and to respond in a way that takes user emotions into consideration. This system is implemented using the following hardware and software.

[1630] Hardware and software usage

[1631] The server has a platform that includes a generative artificial intelligence model and an emotion engine. The generative artificial intelligence model includes algorithms and programs (e.g., natural language processing models) for generating appropriate answers to user questions. The emotion engine is a software system for analyzing the emotional state of the user from their input.

[1632] A terminal is a device used by users to input information and display responses from a server. Terminals include personal computers, smartphones, and tablets, and provide an interface for users to operate the system.

[1633] Users use these terminals to access the system, enter questions about administrative procedures, and receive answers from the server.

[1634] Example of a prompt

[1635] Examples of prompt messages include: "Please tell me about the procedures for moving in," "I would like to know about care services for the elderly," and "The park is not being cleaned properly."

[1636] Specific examples and processing flow

[1637] Specific example 1: Questions about administrative procedures

[1638] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[1639] The device sends this question to the server.

[1640] The server uses a generative artificial intelligence model to generate the response, "You will need a change of address form, identification, and a resident registration certificate. You can apply for them at the city hall counter."

[1641] The emotion engine recognizes anxiety and fatigue from user input.

[1642] Based on the analysis results of the emotion engine, the server formats the response in a gentle tone, saying, "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1643] The device will display this answer to the user.

[1644] Specific example 2: Questions regarding citizen support

[1645] The user enters, "I want to know about care services for the elderly."

[1646] The device sends this question to the server.

[1647] The server uses a generative artificial intelligence model to generate the response, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment."

[1648] The emotion engine recognizes feelings of confusion from user input.

[1649] The server then formats the response, adding a clear and detailed explanation, to read: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[1650] The device will display this answer to the user.

[1651] Examples of information provision and awareness-raising activities

[1652] Specific example: Information about childcare support programs

[1653] Local governments provide new childcare support programs to a server.

[1654] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[1655] The device displays a link that says, "A new childcare support program has started. Click here for details."

[1656] The emotion engine analyzes user interest and reactions based on user feedback and search history.

[1657] The server will provide more detailed information and related events to interested users.

[1658] Through these processes, the system can streamline users' administrative procedures and provide optimal, emotion-based responses in the process. Furthermore, by analyzing feedback and optimizing information provision, it contributes to improved user satisfaction and efficient operation of local governments.

[1659] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1660] Automation of administrative procedures and emotion recognition

[1661] Specific example 1: Questions about administrative procedures

[1662] Step 1:

[1663] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[1664] Input: User's question (e.g., "Please tell me about the transfer procedures.").

[1665] Output: Question data sent to the server.

[1666] Step 2:

[1667] The device sends this question to the server.

[1668] Input: User's question data.

[1669] Output: Question data received by the server.

[1670] Step 3:

[1671] The server inputs the received question into a generative artificial intelligence model.

[1672] Input: Received question data (e.g., "Please tell me about the transfer of residency procedures").

[1673] Output: Data passed to the generative artificial intelligence model.

[1674] Step 4:

[1675] Generative artificial intelligence models generate appropriate answers.

[1676] Input: Question data received by the generative artificial intelligence model.

[1677] Data processing: Natural language processing is used to analyze the question content, search for relevant information, and generate answers.

[1678] Output: "You will need a change of address form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1679] Step 5:

[1680] The emotion engine analyzes user input and recognizes the user's emotional state.

[1681] Input: User's question data (e.g., "Please tell me about the transfer procedures").

[1682] Data processing: Perform text analysis and extract emotional components (e.g., anxiety, fatigue).

[1683] Output: Emotional state (e.g., anxiety, fatigue).

[1684] Step 6:

[1685] The server optimizes its response based on the analysis results of the emotion engine.

[1686] Input: Response data from a generative artificial intelligence model and analysis results from an emotion engine (e.g., "anxiety" and "fatigue").

[1687] Data processing: Adjust the tone and content of the responses to create a gentler tone that will put users at ease.

[1688] Output: Optimized response data (e.g., "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter.").

[1689] Step 7:

[1690] The server sends the optimized response to the terminal.

[1691] Input: Optimized response data.

[1692] Output: Response data received by the device.

[1693] Step 8:

[1694] The device will display this answer to the user.

[1695] Input: Optimized response data received from the server.

[1696] Output: The response displayed to the user (e.g., "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter.").

[1697] Strengthening citizen support and emotional awareness

[1698] Specific example 2: Questions regarding citizen support

[1699] Step 1:

[1700] The user enters, "I want to know about care services for the elderly."

[1701] Input: User's question (e.g., "I want to know about care services for the elderly").

[1702] Output: Question data sent to the server.

[1703] Step 2:

[1704] The device sends this question to the server.

[1705] Input: User's question data.

[1706] Output: Question data received by the server.

[1707] Step 3:

[1708] The server inputs a question into a generative artificial intelligence model.

[1709] Input: Received question data.

[1710] Output: Data passed to the generative artificial intelligence model.

[1711] Step 4:

[1712] Generative artificial intelligence models generate appropriate answers.

[1713] Input: Question data.

[1714] Data processing: Use natural language processing to search for relevant care service information and generate responses.

[1715] Output: The response data states, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment."

[1716] Step 5:

[1717] The emotion engine recognizes feelings of confusion from the user's input.

[1718] Input: Question data.

[1719] Data processing: Extract emotional components (e.g., confusion) through text analysis.

[1720] Output: Emotional state (e.g., confused).

[1721] Step 6:

[1722] The server optimizes its response based on the analysis results of the emotion engine.

[1723] Input: Response data from a generative artificial intelligence model and analysis results from an emotion engine.

[1724] Data processing: Make the responses more detailed and add explanations to reassure the user.

[1725] Output: Optimized response data: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[1726] Step 7:

[1727] The server sends the optimized response to the terminal.

[1728] Input: Optimized response data.

[1729] Output: Response data received by the device.

[1730] Step 8:

[1731] The device will display this answer to the user.

[1732] Input: Optimized response data.

[1733] Output: Response displayed to the user (Example: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured.").

[1734] By explaining each processing step in detail, including specific actions, it becomes clear what kind of data processing and calculations are necessary, and how the optimal response is generated and provided.

[1735] (Application Example 2)

[1736] 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."

[1737] Conventional administrative procedure support systems have limitations in generating appropriate answers to the diverse questions of citizens, and in particular, they fail to optimize responses based on citizens' emotions. Furthermore, in situations where immediate responses are required regarding the security of buildings and facilities, the failure to provide effective responses that take emotions into account led to a decline in the quality of security responses.

[1738] 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. In this invention, the server includes means for answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and details of procedures in response to citizens' questions, and means for analyzing citizens' emotional states and optimizing responses. This enables not only the generation of optimal answers to citizens' questions but also the optimization of responses according to emotions, and in particular, enables effective immediate responses regarding the security of buildings and facilities.

[1739] A "generative artificial intelligence model" is a type of artificial intelligence that can generate new answers and information based on past data.

[1740] "Citizen" refers to an individual residing within a local government area who has the right to receive administrative services.

[1741] An "emotion engine" is a system that analyzes a user's emotional state from text or voice input and automatically takes appropriate action based on those emotions.

[1742] "Device" refers to information and communication devices such as smartphones, tablets, smart glasses, or personal computers.

[1743] "Feedback" refers to information such as opinions, requests, and evaluations provided by citizens who have used the service.

[1744] An "online form" is a web-based screen or application screen used to input and submit information via the internet.

[1745] A "local government" is a regional administrative organization such as a city, town, or village, which provides various administrative services to its citizens.

[1746] "Awareness-raising activities" are information dissemination activities aimed at providing citizens with information on administrative policies and events, and deepening their understanding of them.

[1747] "Security" refers to the functions and activities that ensure safety and protection within buildings and facilities.

[1748] "Optimizing responses" is the process of adjusting the information and content of responses provided according to the user's emotions and circumstances.

[1749] This invention uses a system that combines a generative artificial intelligence model and an emotion engine to efficiently support citizens' administrative procedures, enhance citizen support, provide information, and address security issues.

[1750] System Configuration

[1751] hardware

[1752] Devices used: Smartphones, smart glasses, tablets, or personal computers.

[1753] Server: A high-performance computer system for running generative artificial intelligence models and emotion engines.

[1754] software

[1755] Generative artificial intelligence models: Artificial intelligence that generates new answers and information based on past data. A specific example is GPT-4.

[1756] Emotion engine: Software that analyzes the user's emotional state from their input and provides the optimal response. A specific example is Affectiva.

[1757] Program processing details

[1758] Receiving input data

[1759] Users input questions and reports regarding administrative procedures and security into a terminal via their smartphone or smart glasses. This input data is transmitted to the server in real time.

[1760] Data Analysis

[1761] The server inputs the received data into a generative artificial intelligence model to generate appropriate responses and procedures. Simultaneously, an emotion engine analyzes the user's emotional state from their input text or voice. For example, a report such as "I saw a suspicious person" might be determined to contain an element of anxiety.

[1762] Optimizing response

[1763] The server adjusts the tone of its response based on the perceived emotional state. For example, if anxiety is detected, the response will be reassuring, such as, "We've received your message. We've notified other security personnel, and support will be arriving shortly."

[1764] Data Feedback

[1765] User feedback is sent back to the server and analyzed by a generative artificial intelligence model. Based on the sentiment analysis results from the sentiment engine, a report is generated for local governments. This allows for the identification of common problems and the implementation of appropriate countermeasures.

[1766] Specific example

[1767] 1. Administrative procedures

[1768] When a user types "Please tell me about the transfer of residency procedure" into their terminal, the server generates the necessary documents and instructions, and uses an emotion engine to recognize the user's anxiety. It then provides a gentle response: "The transfer of residency procedure is simple. You will need a transfer of residency form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1769] 2. Security measures

[1770] A security guard reports, "I've seen a suspicious person," through smart glasses. The server generates emergency response procedures and recognizes the guard's anxiety using an emotion engine. The response is then adjusted to, "Confirmed. We have notified other security guards, and support will arrive shortly."

[1771] 3. Feedback Collection and Analysis

[1772] Users submit their complaints about the cleanliness of parks through an online form. The server analyzes the feedback using a generative artificial intelligence model and recognizes the dissatisfaction with an emotion engine. It then provides a report to the local government stating that "many citizens are dissatisfied with the cleanliness of parks," facilitating the consideration of countermeasures.

[1773] Example of a prompt

[1774] Recognize the user's emotional state and generate responses based on their inquiries. For example, if you receive a message saying, "I saw a suspicious person," respond in a reassuring tone if the user is expressing anxiety. Generate a message such as, "We've checked on this. We've notified other security personnel, and support will be arriving shortly."

[1775] This makes it possible for the system of the present invention to provide efficient and emotionally responsive responses to citizens' questions and reports, thereby improving the quality of security responses.

[1776] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1777] Step 1:

[1778] Users input questions and reports regarding administrative procedures and security using their smartphones or smart glasses. The input data is sent to the server in text format. Examples of input include "Please tell me about the procedures for moving in" and "I saw a suspicious person."

[1779] Step 2:

[1780] The server inputs the received data into a generative artificial intelligence model (e.g., GPT-4) to generate appropriate answers and procedures based on the questions and reports. The generated answers are stored in an internal data structure and linked to the next process. For example, it might generate, "For transfer procedures, the required documents are a transfer notification form, identification card, and resident registration certificate."

[1781] Step 3:

[1782] The server uses an emotion engine (e.g., Affectiva) to analyze the user's emotional state from their input text or voice. Once the emotion engine analyzes the data, it identifies emotions such as anxiety, anger, and surprise, and adds the analysis results to the server's internal data structure. For example, the emotion of anxiety might be recognized from the phrase "I saw a suspicious person."

[1783] Step 4:

[1784] The server adjusts the generated response content and tone based on the recognized emotional state. If the emotion is recognized as anxiety, the response is changed to a reassuring tone, such as "Confirmed. I have notified other security personnel, and support will arrive shortly." The adjusted response is then updated in the internal data structure.

[1785] Step 5:

[1786] The server sends the final generated response and tone to the terminal. This allows the user to see optimized answers to their questions and reports in real time. For example, a friendly response might appear saying, "The transfer process is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1787] Step 6:

[1788] User feedback and additional reports are sent to the server. The feedback is received via an online form and analyzed again by a generative artificial intelligence model and sentiment engine. This generates reports based on citizens' sentiments and requests, which are then provided to local governments. For example, if there is feedback that "parks are not kept clean," this is recognized as a problem raised by many citizens.

[1789] 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.

[1790] 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.

[1791] 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.

[1792] [Fourth Embodiment]

[1793] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1794] 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.

[1795] 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).

[1796] 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.

[1797] 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.

[1798] 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).

[1799] 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.

[1800] 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.

[1801] 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.

[1802] 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.

[1803] 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.

[1804] 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.

[1805] 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".

[1806] This invention is a system that uses a generative artificial intelligence model to efficiently support citizens' administrative procedures, thereby enhancing citizen support, providing information, and collecting feedback. This system will achieve increased efficiency and cost reduction in administrative services, improved transparency and accessibility of information, and promotion of citizen participation. Specific embodiments of each function are described below.

[1807] Automation of administrative procedures

[1808] When a citizen enters a question about an administrative procedure, this information is sent from the terminal to the server. The server uses a generative artificial intelligence model (e.g., GPT-4 utilizing natural language processing) to generate an appropriate answer to the question. The generated answer is returned to the terminal and provided to the user.

[1809] Specific example:

[1810] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[1811] The server inputs this question into a generative artificial intelligence model to obtain the necessary documents and methods for the procedure.

[1812] The terminal displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1813] Strengthening support for citizens

[1814] This system provides 24 / 7 online support. When a user enters a question about administrative services, the server uses a generative artificial intelligence model to generate an answer in real time and provides it to the user.

[1815] Specific example:

[1816] The user types "Please tell me about care services for the elderly" on their device.

[1817] The server generates appropriate information about care services using a generative artificial intelligence model.

[1818] The device displays the user with the message, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an examination."

[1819] Information provision and awareness

[1820] Local governments regularly provide information on policies and events to a server. The server analyzes this information using a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs). This information is registered in a database and made easily accessible to users when needed.

[1821] Specific example:

[1822] Local governments are launching new childcare support programs.

[1823] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[1824] The device displays a link that says, "A new childcare support program has started. Click here for details."

[1825] Collecting citizen feedback

[1826] Citizens can submit feedback and requests through online forms. The server analyzes this feedback using a generative artificial intelligence model to extract common problems and areas for improvement. The resulting data is provided to local governments to help improve policies and services.

[1827] Specific example:

[1828] A user enters into an online form that "the park is not being cleaned properly."

[1829] The server aggregates other similar feedback and analyzes common problems using a generative artificial intelligence model.

[1830] Based on data showing that "many citizens are dissatisfied with the cleanliness of parks," local governments decide to strengthen cleaning activities.

[1831] As described above, this invention utilizes a generative artificial intelligence model to automate administrative procedures, enhance citizen support, provide information, and collect feedback. This significantly improves the overall efficiency of administrative services and citizen satisfaction.

[1832] The following describes the processing flow.

[1833] Automation of administrative procedures

[1834] Step 1:

[1835] The user types "Please tell me about the transfer of residency procedures" on their device (PC or smartphone).

[1836] Step 2:

[1837] The terminal sends the user's input data to the server.

[1838] Step 3:

[1839] The server receives input data and sends a request to a generative artificial intelligence model (e.g., GPT-4).

[1840] Step 4:

[1841] The generative artificial intelligence model generates the necessary information regarding the transfer procedure based on the request received from the server.

[1842] Step 5:

[1843] The server receives the response from the generative artificial intelligence model and formats it into a format that can be provided to the user.

[1844] Step 6:

[1845] The server sends the formatted information to the terminal.

[1846] Step 7:

[1847] The terminal displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1848] Strengthening support for citizens

[1849] Step 1:

[1850] The user enters into the terminal, "Please tell me about care services for the elderly."

[1851] Step 2:

[1852] The terminal sends the user's question to the server.

[1853] Step 3:

[1854] The server creates a request to send the user's question data to a generative artificial intelligence model.

[1855] Step 4:

[1856] The generative artificial intelligence model generates appropriate information about care services based on server requests.

[1857] Step 5:

[1858] The server receives the generated information and converts it into a format that can be provided to the user.

[1859] Step 6:

[1860] The server sends the converted information to the terminal.

[1861] Step 7:

[1862] The device displays the user with the message, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an examination."

[1863] Information provision and awareness

[1864] Step 1:

[1865] Local governments provide information on new policies and events (e.g., childcare support programs) to the server.

[1866] Step 2:

[1867] The server receives the provided information and uses a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs).

[1868] Step 3:

[1869] The server registers the generated information in the database.

[1870] Step 4:

[1871] The user searches on their device for "I want to know about the new childcare support program."

[1872] Step 5:

[1873] The server searches the database for the relevant information and retrieves it.

[1874] Step 6:

[1875] The server sends the acquired information to the terminal.

[1876] Step 7:

[1877] The device displays a link with the message, "A new childcare support program has started. Click here for details."

[1878] Collecting citizen feedback

[1879] Step 1:

[1880] A user submits feedback via an online form stating that "the park is not being cleaned properly."

[1881] Step 2:

[1882] The device sends user feedback to the server.

[1883] Step 3:

[1884] The server prepares the feedback content for analysis using a generative artificial intelligence model.

[1885] Step 4:

[1886] Generative artificial intelligence models analyze received feedback data to extract common problems and areas for improvement.

[1887] Step 5:

[1888] The server compiles the analysis results into a report.

[1889] Step 6:

[1890] The server sends the analysis results to the local government.

[1891] Step 7:

[1892] Local governments use the submitted reports to improve policies and services.

[1893] (Example 1)

[1894] 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".

[1895] In the current administrative procedure system, users must go through many steps to complete procedures smoothly, which is very time-consuming and laborious. Furthermore, properly handling user questions and feedback, and providing information and support, relies heavily on human intervention, which often leads to delays. In addition, there is no standardized method for analyzing the collected feedback to effectively utilize it. These challenges reduce the efficiency of administrative services and decrease user satisfaction.

[1896] 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.

[1897] In this invention, the server includes means for answering user questions regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and procedural details in response to user questions, means for collecting feedback and requests from users through online forms and analyzing them with a generative artificial intelligence model, and means for providing information on public institutions' policies and events and conducting awareness campaigns for users. This enables the automation of administrative procedures, enhanced user support, efficient information provision, and effective utilization of feedback.

[1898] A "generative artificial intelligence model" is an algorithm that uses natural language processing techniques to understand questions and feedback from users and generate appropriate answers.

[1899] "Users" refers to citizens or individuals who engage in administrative procedures, provide information, collect feedback, etc.

[1900] "Documents" include official documents such as application forms and certificates required for administrative procedures.

[1901] An "online form" is an electronic input form that users can enter and submit via the internet.

[1902] "Feedback" refers to information such as opinions, requests, and evaluations provided by users.

[1903] "Public institutions" refer to government agencies and organizations that provide administrative services, including local governments.

[1904] A "policy" refers to a policy or program implemented by a public institution.

[1905] "Event information" refers to information about events and activities organized by public institutions.

[1906] "Awareness-raising activities" refer to activities that spread knowledge and information to users.

[1907] "Automation" refers to performing a series of processes without human intervention using technologies such as artificial intelligence.

[1908] A "database" is an electronic information aggregation system used to efficiently manage, search, and utilize collected information and data.

[1909] "Analysis" refers to the process of examining collected data in detail and extracting its meaning and value.

[1910] Modes for carrying out the invention

[1911] This invention is a system that uses a generative artificial intelligence model to efficiently support administrative procedures for citizens, thereby enhancing user support, providing information, and collecting feedback. This system will achieve increased efficiency and cost reduction in administrative services, improved transparency and access to information, and promotion of citizen participation.

[1912] Automation of administrative procedures

[1913] When a user enters a question about administrative procedures on their device, this information is sent from the device to the server. The server uses a generative artificial intelligence model (e.g., GPT-4 using natural language processing techniques) to generate an appropriate answer to the question. The generated answer is then sent back to the device and provided to the user.

[1914] Specific example:

[1915] The user types "Please tell me about the transfer of residency procedure" into the terminal. The terminal sends this question to the server. The server inputs this question into a generative artificial intelligence model and retrieves the necessary documents and methods for the procedure. The terminal displays to the user "To complete the transfer of residency procedure, you will need a transfer of residency notification form, identification, and a resident registration certificate. You can apply at the city hall counter."

[1916] Example of a prompt:

[1917] "Please provide information regarding the transfer of residency procedures."

[1918] Strengthening support for citizens

[1919] When a user enters a question about administrative services from a terminal, the server uses a generative artificial intelligence model to generate an answer in real time and provides it to the user. This enables 24 / 7 online support.

[1920] Specific example:

[1921] The user types "Please tell me about care services for the elderly" into their device. The device sends this question to the server. The server uses a generative artificial intelligence model to generate appropriate information about care services. The device then displays to the user, "To receive care certification, you need to apply to the city's care certification office and undergo an assessment."

[1922] Example of a prompt:

[1923] "Please provide information regarding care services for the elderly."

[1924] Information provision and awareness

[1925] Local governments regularly provide information on policies and events to a server. The server analyzes this information using a generative artificial intelligence model to generate detailed explanations and frequently asked questions (FAQs). This information is registered in a database and made easily accessible to users when needed.

[1926] Specific example:

[1927] A local government launches a new childcare support program. The server analyzes this information and generates specific details using a generative artificial intelligence model. The terminal displays a link saying, "A new childcare support program has been launched. Click here for details."

[1928] Example of a prompt:

[1929] "Please provide more information about the new childcare support program."

[1930] Collecting citizen feedback

[1931] Users can submit feedback and requests through an online form. The server analyzes this feedback using a generative artificial intelligence model to extract common problems and areas for improvement. The resulting data is provided to local governments to help improve policies and services.

[1932] Specific example:

[1933] A user enters a statement into an online form saying, "The park is not being cleaned properly." The device sends this feedback to a server. The server analyzes similar feedback using a generative artificial intelligence model and identifies common problems. Based on the data showing that "many citizens are dissatisfied with the cleanliness of the park," the local government decides to strengthen cleaning activities.

[1934] Example of a prompt:

[1935] "Please identify common problems based on feedback from citizens."

[1936] As described above, the present invention utilizes a generative artificial intelligence model to automate administrative procedures, enhance citizen support, provide information, and collect feedback, thereby significantly improving the overall efficiency of administrative services and citizen satisfaction.

[1937] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1938] Automation of administrative procedures

[1939] Step 1:

[1940] The user enters questions about administrative procedures into the terminal.

[1941] Input: User-generated text (e.g., "Please tell me about the transfer procedures.")

[1942] Output: The terminal temporarily saves the input.

[1943] Step 2:

[1944] The terminal sends the entered question to the server.

[1945] Input: User questions saved on the device

[1946] Output: User questions forwarded to the server

[1947] Step 3:

[1948] The server receives the question and inputs it as a prompt to the generative artificial intelligence model.

[1949] Input: User questions received by the server (as prompts)

[1950] Data processing: A generative artificial intelligence model analyzes the prompt text and generates relevant information.

[1951] Output: Generated response (Example: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification document, and resident registration certificate. You can apply at the city hall counter.")

[1952] Step 4:

[1953] The server sends the generated response to the terminal.

[1954] Input: Answer generated by a generative artificial intelligence model

[1955] Output: Answer sent to the terminal

[1956] Step 5:

[1957] The device displays the submitted response to the user.

[1958] Input: Response received from the server

[1959] Output: Answer displayed to the user

[1960] Strengthening support for citizens

[1961] Step 1:

[1962] The user enters a question about administrative services into the terminal.

[1963] Input: User-generated text (e.g., "Please tell me about care services for the elderly.")

[1964] Output: The terminal temporarily saves the input.

[1965] Step 2:

[1966] The terminal sends the entered question to the server.

[1967] Input: User questions saved on the device

[1968] Output: User questions forwarded to the server

[1969] Step 3:

[1970] The server receives the question and inputs it as a prompt to the generative artificial intelligence model.

[1971] Input: User questions received by the server (as prompts)

[1972] Data processing: A generative artificial intelligence model analyzes the prompt text and generates relevant information.

[1973] Output: Generated response (Example: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment.")

[1974] Step 4:

[1975] The server sends the generated response to the terminal.

[1976] Input: Answer generated by a generative artificial intelligence model

[1977] Output: Answer sent to the terminal

[1978] Step 5:

[1979] The device displays the submitted response to the user.

[1980] Input: Response received from the server

[1981] Output: Answer displayed to the user

[1982] Information provision and awareness

[1983] Step 1:

[1984] The server provides information on local government policies and events.

[1985] Input: Policy and event information (text format)

[1986] Output: Information sent to the server

[1987] Step 2:

[1988] The server analyzes the provided information using a generative artificial intelligence model.

[1989] Input: Policy and event information received by the server

[1990] Data Processing: Generative artificial intelligence models analyze the information and generate detailed explanations and FAQs.

[1991] Output: Generated descriptions and FAQs

[1992] Step 3:

[1993] The server registers the generated explanations and FAQs in a database.

[1994] Input: Descriptions and FAQs generated by a generative artificial intelligence model.

[1995] Output: Information registered in the database

[1996] Step 4:

[1997] Users access information via their devices when needed.

[1998] Input: User-generated information search (e.g., "new childcare support program")

[1999] Output: Information extracted from the database is displayed to the user.

[2000] Collecting citizen feedback

[2001] Step 1:

[2002] Users submit feedback and requests through online forms.

[2003] Input: Text input of user feedback or requests (e.g., "The park is not being cleaned properly")

[2004] Output: The terminal temporarily saves the input.

[2005] Step 2:

[2006] The terminal sends the input feedback to the server.

[2007] Input: Feedback saved on the device

[2008] Output: Feedback transferred to the server

[2009] Step 3:

[2010] The server analyzes the feedback using a generative artificial intelligence model to extract common problems and areas for improvement.

[2011] Input: Feedback received by the server

[2012] Data processing: Generative artificial intelligence models analyze feedback and extract common problems.

[2013] Output: Common problems and areas for improvement identified

[2014] Step 4:

[2015] The server provides the extracted data to local governments.

[2016] Input: Data extracted by a generative artificial intelligence model.

[2017] Output: Data provided to local governments

[2018] Step 5:

[2019] Local governments use the provided data to improve policies and services.

[2020] Input: Data provided by the server

[2021] Output: Improved policies and services

[2022] The above processing steps enable the automation of administrative procedures, enhanced citizen support, efficient information provision, and effective utilization of feedback.

[2023] (Application Example 1)

[2024] 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".

[2025] In traditional government services and physical stores, a challenge has been the inability of users to smoothly handle procedures and inquiries. In particular, it was difficult for users to obtain necessary information outside of business hours or during times when staff were unavailable. Furthermore, efficiently collecting and addressing user feedback was also challenging.

[2026] 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.

[2027] In this invention, the server includes means for answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and procedural details in response to citizens' questions, means for collecting feedback and requests from citizens through online forms and analyzing them with a generative artificial intelligence model, means for providing real-time support for procedures and questions within the store by allowing visitors to input questions, and means for generating appropriate answers to visitors' questions using a terminal and a generative artificial intelligence model, and providing the answers on screen or by voice. As a result, users can obtain the information they need at any time, feedback can be collected efficiently, and administrative services and store operations can be improved.

[2028] A "generative artificial intelligence model" is an artificial intelligence model that has the ability to generate natural language based on a large amount of data.

[2029] "Citizens" refers to ordinary citizens and residents who use administrative services.

[2030] "Administrative procedures" refer to various procedures, applications, notifications, and other services provided by local governments and government agencies.

[2031] "Details of required documents and procedures" refers to specific information about the documents, procedures, and steps required to use a particular administrative service or service.

[2032] An "online form" is an electronic form that users can input and submit via the internet.

[2033] "Feedback and requests" refers to information such as opinions, impressions, suggestions, and requests for improvement from users.

[2034] "Analyzing with a generative artificial intelligence model" means that an artificial intelligence model analyzes the collected data and extracts patterns and trends.

[2035] "Visitors" refers to customers or users who visit a physical store.

[2036] "Real-time support" refers to users receiving immediate responses and assistance after entering their questions or requests.

[2037] "Terminal" refers to devices such as smartphones, smart glasses, and head-mounted displays.

[2038] "Means of providing information via screen or audio" refers to methods of conveying generated responses to users visually or audibly.

[2039] This invention is a system that uses a generative artificial intelligence model to streamline procedural support for citizens and users. This system facilitates smooth administrative procedures and in-store question-and-answer sessions, and collects and analyzes feedback. Specific embodiments are described below.

[2040] System Configuration

[2041] hardware

[2042] This system utilizes devices such as smartphones, smart glasses, and head-mounted displays. These devices receive input from the user and provide responses via screen or audio.

[2043] software

[2044] The server runs generative artificial intelligence models using OpenAI's GPT-4 API. It is also programmed in Python. The main processing steps and specific examples are shown below.

[2045] Description of processing steps

[2046] The server operates according to the following procedure:

[2047] 1. Accepting questions:

[2048] The user enters a question into the device. This question can be entered via text or voice input.

[2049] 2. Submit your question:

[2050] A question is sent from the terminal to the server. The server inputs this question into a generative artificial intelligence model.

[2051] 3. Generating the answer:

[2052] The server uses a generative artificial intelligence model to generate appropriate answers to questions. Specifically, it utilizes OpenAI's GPT-4.

[2053] 4. Providing an answer:

[2054] The server sends the generated response to the terminal, which then provides it to the user either visually or audibly.

[2055] Specific example

[2056] Support for administrative procedures

[2057] The user types "Please tell me about the transfer of residency procedures" on their smartphone.

[2058] The server sends this question to a generative artificial intelligence model (GPT-4) to retrieve the procedure details.

[2059] The device displays the following message to the user: "To complete the transfer of residence procedure, you will need a transfer of residence notification form, identification document, and resident registration certificate. You can apply at the city hall counter."

[2060] In-store support

[2061] Visitors use smart glasses to voice-input a request such as, "Please tell me how to return the product."

[2062] The server sends a question to a generative artificial intelligence model, which then generates an appropriate answer.

[2063] The terminal announces to visitors via voice, "To return an item, you will need the purchase receipt and the unused item. Please go to the return counter."

[2064] Example of a prompt

[2065] Examples of inputs to a generative artificial intelligence model are as follows:

[2066] "You are an AI that answers questions about customer service at physical stores. Please answer the following questions."

[2067] Question: Please tell me about the procedure for returning a product.

[2068] This makes it possible to improve user satisfaction in administrative services and stores. The present invention is a system that allows citizens and visitors to obtain the information they need at any time, and to efficiently collect feedback.

[2069] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[2070] Step 1:

[2071] The user enters a question.

[2072] Users input procedures and questions via text or voice into a device (smartphone, smart glasses, etc.). The input may include specific questions such as "Please tell me about the transfer procedures" or "Please tell me how to return a product." The input data is temporarily stored on the device.

[2073] Step 2:

[2074] The device sends the question to the server.

[2075] The terminal sends the entered question to the server. The transmitted data includes the user's question. The server parses the received question data and begins processing.

[2076] Step 3:

[2077] The server inputs a question into the generative artificial intelligence model.

[2078] The server inputs the received question into a generative artificial intelligence model (GPT-4). The input question is a prompt sentence in the format of "Please tell me about the transfer procedures." Based on this prompt sentence, the generative artificial intelligence model analyzes the data and generates an appropriate answer.

[2079] Step 4:

[2080] A generative artificial intelligence model generates the answer.

[2081] A generative artificial intelligence model generates answers in response to input question prompts. For example, it might output a specific answer such as, "To register for relocation, you will need a relocation form, identification, and a resident registration certificate." The generated answer data is temporarily stored on the server.

[2082] Step 5:

[2083] The server sends the generated response to the terminal.

[2084] The server sends the response obtained from the generative artificial intelligence model to the user's terminal. The transmitted data includes the generated response. For example, it might say, "The documents required for the transfer of residence procedure are the transfer of residence form, identification card, and resident registration certificate."

[2085] Step 6:

[2086] The device displays or provides the answer to the user via audio.

[2087] The device displays the response received from the server to the user. If the device has voice output capabilities, it will also provide the response verbally. For example, smart glasses might display or play the text, "To complete the transfer of residence procedure, you will need a transfer of residence form, identification, and a resident registration certificate."

[2088] Step 7:

[2089] Users can submit additional feedback or requests.

[2090] The user enters additional questions or feedback regarding the provided answers. For example, they might enter, "Please tell me the detailed procedure for transferring my residency." The device then sends this feedback back to the server. The process from step 2 is then repeated.

[2091] Through these processing steps, users can smoothly obtain information about procedures, and support and feedback can be collected efficiently. This process leads to improvements in administrative and in-store services.

[2092] 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.

[2093] This invention combines a generative artificial intelligence model and an emotion engine to efficiently support citizens' administrative procedures, thereby enhancing citizen support, providing information, and collecting feedback. This system further improves the quality of administrative services by recognizing user emotions and optimizing responses. Specific embodiments of each function are described below.

[2094] Automation of administrative procedures and emotion recognition

[2095] When a citizen enters a question about an administrative procedure, this information is sent from the terminal to the server. The server uses a generative artificial intelligence model to generate an appropriate answer to the question. Furthermore, an emotion engine analyzes the user's input and recognizes the user's emotional state. Based on the recognized emotion, the server optimizes the response, adjusting the tone and content if necessary. The generated answer is returned to the terminal and provided to the user.

[2096] Specific example:

[2097] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[2098] The server inputs this question into a generative artificial intelligence model to obtain the necessary documents and methods for the procedure.

[2099] The emotion engine recognizes anxiety and fatigue from the user's text.

[2100] The server takes the perceived emotions into account and formats the response in a gentle tone, saying, "The transfer of residency procedure is simple. You will need a transfer of residency form, identification, and a resident registration certificate. You can apply at the city hall counter."

[2101] The device will display this answer to the user.

[2102] Strengthening citizen support and emotional awareness

[2103] This system provides 24 / 7 online support. When a user enters a question about administrative services, the server generates an answer in real time using a generative artificial intelligence model, and an emotion engine analyzes the user's emotions. The information and support provided are then adjusted according to the user's emotional state.

[2104] Specific example:

[2105] The user enters, "I want to know about care services for the elderly."

[2106] The server generates information about care services using a generative artificial intelligence model.

[2107] The emotion engine recognizes feelings of confusion from user input.

[2108] The server generates a detailed and helpful response, stating, "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[2109] The device will display this answer to the user.

[2110] Emotional awareness response in information provision and awareness-raising

[2111] Local governments regularly provide policy and event information to a server. The server uses a generative artificial intelligence model to generate detailed explanations and FAQs, and an emotion engine to analyze user responses. Based on the user's emotions towards the provided information, the server optimizes the next information to be provided and the appropriate response.

[2112] Specific example:

[2113] Local governments are launching new childcare support programs.

[2114] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[2115] The device displays a link that says, "A new childcare support program has started. Click here for details."

[2116] The emotion engine analyzes user interest and responses based on user feedback and search history, and provides more detailed information and related event announcements to highly interested users.

[2117] Collecting citizen feedback and sentiment analysis

[2118] Citizens can submit feedback and requests through online forms. The server analyzes this feedback using a generative artificial intelligence model, and an emotion engine identifies the user's emotional state. Based on the recognized emotions, it generates reports to be provided to local governments.

[2119] Specific example:

[2120] A user enters into an online form that "the park is not being cleaned properly."

[2121] The server analyzes feedback using a generative artificial intelligence model and recognizes dissatisfaction and anger with an emotion engine.

[2122] Based on the recognized emotional states, the server generates a report stating that "many citizens are dissatisfied with the cleanliness of the park" and provides it to the local government.

[2123] Based on that report, local governments will consider policies to strengthen their cleaning activities.

[2124] As described above, the present invention is a system that combines a generative artificial intelligence model and an emotion engine to streamline administrative procedures for citizens, provide optimal responses based on emotions, and improve the quality of citizen support.

[2125] The following describes the processing flow.

[2126] Automation of administrative procedures and emotion recognition

[2127] Step 1:

[2128] The user types "Please tell me about the transfer of residency procedures" on their device (PC or smartphone).

[2129] Step 2:

[2130] The terminal sends the user's input data to the server.

[2131] Step 3:

[2132] The server receives input data and sends a request to the generative artificial intelligence model.

[2133] Step 4:

[2134] The generative artificial intelligence model generates the necessary information regarding the transfer procedure based on requests from the server.

[2135] Step 5:

[2136] The server receives the generated response data and sends the input data to the emotion engine.

[2137] Step 6:

[2138] The emotion engine analyzes user input to identify emotions such as anxiety and fatigue.

[2139] Step 7:

[2140] The server optimizes and edits the content and tone of the generated responses based on the recognized emotions.

[2141] Step 8:

[2142] The server sends the optimized response to the terminal.

[2143] Step 9:

[2144] The terminal displays a message to the user in a gentle tone: "The transfer of residence procedure is easy. You will need a transfer of residence form, identification, and a certificate of residence. You can apply at the city hall counter."

[2145] Strengthening citizen support and emotional awareness

[2146] Step 1:

[2147] The user enters into the terminal, "Please tell me about care services for the elderly."

[2148] Step 2:

[2149] The terminal sends the user's question to the server.

[2150] Step 3:

[2151] The server creates a request to send the user's question data to a generative artificial intelligence model.

[2152] Step 4:

[2153] The generative artificial intelligence model generates appropriate information about care services based on server requests.

[2154] Step 5:

[2155] The server receives the generated information and sends the user's input data to the emotion engine.

[2156] Step 6:

[2157] The emotion engine analyzes user input to understand emotions and recognize feelings of confusion.

[2158] Step 7:

[2159] The server adds detailed and helpful explanations to the generated responses based on the recognized emotions.

[2160] Step 8:

[2161] The server sends the edited response to the terminal.

[2162] Step 9:

[2163] The device displays the following message to the user: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[2164] Emotional awareness response in information provision and awareness-raising

[2165] Step 1:

[2166] Local governments provide information on new policies and events (e.g., childcare support programs) to the server.

[2167] Step 2:

[2168] The server receives the provided information and uses a generative artificial intelligence model to generate detailed explanations and FAQs.

[2169] Step 3:

[2170] The server registers the generated information in the database.

[2171] Step 4:

[2172] The user searches on their device for "I want to know about the new childcare support program."

[2173] Step 5:

[2174] The server searches the database for the relevant information and retrieves it.

[2175] Step 6:

[2176] The server sends the acquired information to the emotion engine, which analyzes the user's level of interest and reactions.

[2177] Step 7:

[2178] The emotion engine analyzes user interest and reactions based on user feedback and search history.

[2179] Step 8:

[2180] The server generates optimized content, including detailed information and relevant events, for users who are highly interested.

[2181] Step 9:

[2182] The server sends optimized information to the terminal.

[2183] Step 10:

[2184] The device displays a link that says, "A new childcare support program has started. Click here for details."

[2185] Collecting citizen feedback and sentiment analysis

[2186] Step 1:

[2187] A user submits feedback via an online form stating that "the park is not being cleaned properly."

[2188] Step 2:

[2189] The device sends user feedback to the server.

[2190] Step 3:

[2191] The server prepares the feedback content for analysis using a generative artificial intelligence model.

[2192] Step 4:

[2193] Generative artificial intelligence models analyze received feedback data and generate the necessary information.

[2194] Step 5:

[2195] The server sends the generated data to the emotion engine, which then analyzes the user's emotional state.

[2196] Step 6:

[2197] The emotion engine recognizes emotions such as dissatisfaction and anger from the feedback content.

[2198] Step 7:

[2199] The server compiles the analysis results, based on the recognized emotions, into a report.

[2200] Step 8:

[2201] The server transmits the data to provide the analysis results to the local government.

[2202] Step 9:

[2203] Based on the submitted reports, local governments will consider improvement measures such as strengthening cleaning activities.

[2204] (Example 2)

[2205] 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".

[2206] Current administrative procedures often require users to expend considerable time and effort to obtain necessary information, and frequently result in emotional stress. Furthermore, manual collection and analysis of feedback is highly inefficient, hindering improvements in user satisfaction. Additionally, conventional methods for providing information on local government policies and events make it difficult to deliver information based on user interests. To address these issues, prompt and appropriate responses to user questions, along with support that considers users' emotional states, are essential.

[2207] In Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for answering user questions regarding administrative procedures using a generative artificial intelligence model, means for analyzing the user's emotions and generating an optimal response based on those emotions, and means for providing necessary documents and procedural details in response to the user's questions. This makes it possible to respond quickly and appropriately to user questions and provide optimal support that takes the user's emotions into consideration. Furthermore, by automatically collecting and analyzing feedback and requests through online forms, it is possible to report problems to local governments efficiently and usefully. In addition, by optimally providing information on local government policies and events based on the user's emotions and interests, user satisfaction is improved and awareness-raising activities are carried out effectively.

[2208] A "generative artificial intelligence model" is an algorithm or program that performs natural language processing based on user input and generates appropriate responses.

[2209] A "user" is an individual or organization that uses the system to obtain information about administrative procedures and public services.

[2210] A "terminal" is a device used by users to input information or to receive and display responses from a server.

[2211] A "server" is a platform that includes generative artificial intelligence models and emotion engines, and is a central computer system that processes information from users and generates appropriate responses.

[2212] An "emotion engine" is a software system that analyzes a user's emotional state based on their input text and actions.

[2213] "Feedback" refers to the opinions and requests that users provide to a system or service.

[2214] A "local government" is a local government agency such as a city or prefecture, which provides public services to local residents.

[2215] "Awareness-raising activities" are activities that aim to deepen understanding or encourage action by providing users with specific information or knowledge.

[2216] "Response optimization" is the process of adjusting the tone and content of the generated response according to the user's emotional state and situation.

[2217] An "online form" is a web-based input screen that allows users to enter information and electronically send it to a server.

[2218] This invention combines a generative artificial intelligence model and an emotion engine to provide rapid and appropriate answers to questions from citizens regarding administrative procedures, and to respond in a way that takes user emotions into consideration. This system is implemented using the following hardware and software.

[2219] Hardware and software usage

[2220] The server has a platform that includes a generative artificial intelligence model and an emotion engine. The generative artificial intelligence model includes algorithms and programs (e.g., natural language processing models) for generating appropriate answers to user questions. The emotion engine is a software system for analyzing the emotional state of the user from their input.

[2221] A terminal is a device used by users to input information and display responses from a server. Terminals include personal computers, smartphones, and tablets, and provide an interface for users to operate the system.

[2222] Users use these terminals to access the system, enter questions about administrative procedures, and receive answers from the server.

[2223] Example of a prompt

[2224] Examples of prompt messages include: "Please tell me about the procedures for moving in," "I would like to know about care services for the elderly," and "The park is not being cleaned properly."

[2225] Specific examples and processing flow

[2226] Specific example 1: Questions about administrative procedures

[2227] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[2228] The device sends this question to the server.

[2229] The server uses a generative artificial intelligence model to generate the response, "You will need a change of address form, identification, and a resident registration certificate. You can apply for them at the city hall counter."

[2230] The emotion engine recognizes anxiety and fatigue from user input.

[2231] Based on the analysis results of the emotion engine, the server formats the response in a gentle tone, saying, "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter."

[2232] The device will display this answer to the user.

[2233] Specific example 2: Questions regarding citizen support

[2234] The user enters, "I want to know about care services for the elderly."

[2235] The device sends this question to the server.

[2236] The server uses a generative artificial intelligence model to generate the response, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment."

[2237] The emotion engine recognizes feelings of confusion from user input.

[2238] The server then formats the response, adding a clear and detailed explanation, to read: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[2239] The device will display this answer to the user.

[2240] Examples of information provision and awareness-raising activities

[2241] Specific example: Information about childcare support programs

[2242] Local governments provide new childcare support programs to a server.

[2243] The server analyzes this information and generates specific details using a generative artificial intelligence model.

[2244] The device displays a link that says, "A new childcare support program has started. Click here for details."

[2245] The emotion engine analyzes user interest and reactions based on user feedback and search history.

[2246] The server will provide more detailed information and related events to interested users.

[2247] Through these processes, the system can streamline users' administrative procedures and provide optimal, emotion-based responses in the process. Furthermore, by analyzing feedback and optimizing information provision, it contributes to improved user satisfaction and efficient operation of local governments.

[2248] The flow of the specific processing in Example 2 will be explained using Figure 13.

[2249] Automation of administrative procedures and emotion recognition

[2250] Specific example 1: Questions about administrative procedures

[2251] Step 1:

[2252] The user enters "Please tell me about the transfer of residency procedures" into the terminal.

[2253] Input: User's question (e.g., "Please tell me about the transfer procedures.").

[2254] Output: Question data sent to the server.

[2255] Step 2:

[2256] The device sends this question to the server.

[2257] Input: User's question data.

[2258] Output: Question data received by the server.

[2259] Step 3:

[2260] The server inputs the received question into a generative artificial intelligence model.

[2261] Input: Received question data (e.g., "Please tell me about the transfer of residency procedures").

[2262] Output: Data passed to the generative artificial intelligence model.

[2263] Step 4:

[2264] Generative artificial intelligence models generate appropriate answers.

[2265] Input: Question data received by the generative artificial intelligence model.

[2266] Data processing: Natural language processing is used to analyze the question content, search for relevant information, and generate answers.

[2267] Output: "You will need a change of address form, identification, and a resident registration certificate. You can apply at the city hall counter."

[2268] Step 5:

[2269] The emotion engine analyzes user input and recognizes the user's emotional state.

[2270] Input: User's question data (e.g., "Please tell me about the transfer procedures").

[2271] Data processing: Perform text analysis and extract emotional components (e.g., anxiety, fatigue).

[2272] Output: Emotional state (e.g., anxiety, fatigue).

[2273] Step 6:

[2274] The server optimizes its response based on the analysis results of the emotion engine.

[2275] Input: Response data from a generative artificial intelligence model and analysis results from an emotion engine (e.g., "anxiety" and "fatigue").

[2276] Data processing: Adjust the tone and content of the responses to create a gentler tone that will put users at ease.

[2277] Output: Optimized response data (e.g., "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter.").

[2278] Step 7:

[2279] The server sends the optimized response to the terminal.

[2280] Input: Optimized response data.

[2281] Output: Response data received by the device.

[2282] Step 8:

[2283] The device will display this answer to the user.

[2284] Input: Optimized response data received from the server.

[2285] Output: The response displayed to the user (e.g., "The transfer of residence procedure is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter.").

[2286] Strengthening citizen support and emotional awareness

[2287] Specific example 2: Questions regarding citizen support

[2288] Step 1:

[2289] The user enters, "I want to know about care services for the elderly."

[2290] Input: User's question (e.g., "I want to know about care services for the elderly").

[2291] Output: Question data sent to the server.

[2292] Step 2:

[2293] The device sends this question to the server.

[2294] Input: User's question data.

[2295] Output: Question data received by the server.

[2296] Step 3:

[2297] The server inputs a question into a generative artificial intelligence model.

[2298] Input: Received question data.

[2299] Output: Data passed to the generative artificial intelligence model.

[2300] Step 4:

[2301] Generative artificial intelligence models generate appropriate answers.

[2302] Input: Question data.

[2303] Data processing: Use natural language processing to search for relevant care service information and generate responses.

[2304] Output: The response data states, "In order to receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment."

[2305] Step 5:

[2306] The emotion engine recognizes feelings of confusion from the user's input.

[2307] Input: Question data.

[2308] Data processing: Extract emotional components (e.g., confusion) through text analysis.

[2309] Output: Emotional state (e.g., confused).

[2310] Step 6:

[2311] The server optimizes its response based on the analysis results of the emotion engine.

[2312] Input: Response data from a generative artificial intelligence model and analysis results from an emotion engine.

[2313] Data processing: Make the responses more detailed and add explanations to reassure the user.

[2314] Output: Optimized response data: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured."

[2315] Step 7:

[2316] The server sends the optimized response to the terminal.

[2317] Input: Optimized response data.

[2318] Output: Response data received by the device.

[2319] Step 8:

[2320] The device will display this answer to the user.

[2321] Input: Optimized response data.

[2322] Output: Response displayed to the user (Example: "To receive long-term care certification, you need to apply to the city's long-term care certification office and undergo an assessment. We will guide you through the detailed procedures, so please rest assured.").

[2323] By explaining each processing step in detail, including specific actions, it becomes clear what kind of data processing and calculations are necessary, and how the optimal response is generated and provided.

[2324] (Application Example 2)

[2325] 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".

[2326] Conventional administrative procedure support systems have limitations in generating appropriate answers to the diverse questions of citizens, and in particular, they fail to optimize responses based on citizens' emotions. Furthermore, in situations where immediate responses are required regarding the security of buildings and facilities, the failure to provide effective responses that take emotions into account led to a decline in the quality of security responses.

[2327] 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. In this invention, the server includes means for answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, means for providing necessary documents and details of procedures in response to citizens' questions, and means for analyzing citizens' emotional states and optimizing responses. This enables not only the generation of optimal answers to citizens' questions but also the optimization of responses according to emotions, and in particular, enables effective immediate responses regarding the security of buildings and facilities.

[2328] A "generative artificial intelligence model" is a type of artificial intelligence that can generate new answers and information based on past data.

[2329] "Citizen" refers to an individual residing within a local government area who has the right to receive administrative services.

[2330] An "emotion engine" is a system that analyzes a user's emotional state from text or voice input and automatically takes appropriate action based on those emotions.

[2331] "Device" refers to information and communication devices such as smartphones, tablets, smart glasses, or personal computers.

[2332] "Feedback" refers to information such as opinions, requests, and evaluations provided by citizens who have used the service.

[2333] An "online form" is a web-based screen or application screen used to input and submit information via the internet.

[2334] A "local government" is a regional administrative organization such as a city, town, or village, which provides various administrative services to its citizens.

[2335] "Awareness-raising activities" are information dissemination activities aimed at providing citizens with information on administrative policies and events, and deepening their understanding of them.

[2336] "Security" refers to the functions and activities that ensure safety and protection within buildings and facilities.

[2337] "Optimizing responses" is the process of adjusting the information and content of responses provided according to the user's emotions and circumstances.

[2338] This invention uses a system that combines a generative artificial intelligence model and an emotion engine to efficiently support citizens' administrative procedures, enhance citizen support, provide information, and address security issues.

[2339] System Configuration

[2340] hardware

[2341] Devices used: Smartphones, smart glasses, tablets, or personal computers.

[2342] Server: A high-performance computer system for running generative artificial intelligence models and emotion engines.

[2343] software

[2344] Generative artificial intelligence models: Artificial intelligence that generates new answers and information based on past data. A specific example is GPT-4.

[2345] Emotion engine: Software that analyzes the user's emotional state from their input and provides the optimal response. A specific example is Affectiva.

[2346] Program processing details

[2347] Receiving input data

[2348] Users input questions and reports regarding administrative procedures and security into a terminal via their smartphone or smart glasses. This input data is transmitted to the server in real time.

[2349] Data Analysis

[2350] The server inputs the received data into a generative artificial intelligence model to generate appropriate responses and procedures. Simultaneously, an emotion engine analyzes the user's emotional state from their input text or voice. For example, a report such as "I saw a suspicious person" might be determined to contain an element of anxiety.

[2351] Optimizing response

[2352] The server adjusts the tone of its response based on the perceived emotional state. For example, if anxiety is detected, the response will be reassuring, such as, "We've received your message. We've notified other security personnel, and support will be arriving shortly."

[2353] Data Feedback

[2354] User feedback is sent back to the server and analyzed by a generative artificial intelligence model. Based on the sentiment analysis results from the sentiment engine, a report is generated for local governments. This allows for the identification of common problems and the implementation of appropriate countermeasures.

[2355] Specific example

[2356] 1. Administrative procedures

[2357] When a user types "Please tell me about the transfer of residency procedure" into their terminal, the server generates the necessary documents and instructions, and uses an emotion engine to recognize the user's anxiety. It then provides a gentle response: "The transfer of residency procedure is simple. You will need a transfer of residency form, identification, and a resident registration certificate. You can apply at the city hall counter."

[2358] 2. Security measures

[2359] A security guard reports, "I've seen a suspicious person," through smart glasses. The server generates emergency response procedures and recognizes the guard's anxiety using an emotion engine. The response is then adjusted to, "Confirmed. We have notified other security guards, and support will arrive shortly."

[2360] 3. Feedback Collection and Analysis

[2361] Users submit their complaints about the cleanliness of parks through an online form. The server analyzes the feedback using a generative artificial intelligence model and recognizes the dissatisfaction with an emotion engine. It then provides a report to the local government stating that "many citizens are dissatisfied with the cleanliness of parks," facilitating the consideration of countermeasures.

[2362] Example of a prompt

[2363] Recognize the user's emotional state and generate responses based on their inquiries. For example, if you receive a message saying, "I saw a suspicious person," respond in a reassuring tone if the user is expressing anxiety. Generate a message such as, "We've checked on this. We've notified other security personnel, and support will be arriving shortly."

[2364] This makes it possible for the system of the present invention to provide efficient and emotionally responsive responses to citizens' questions and reports, thereby improving the quality of security responses.

[2365] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[2366] Step 1:

[2367] Users input questions and reports regarding administrative procedures and security using their smartphones or smart glasses. The input data is sent to the server in text format. Examples of input include "Please tell me about the procedures for moving in" and "I saw a suspicious person."

[2368] Step 2:

[2369] The server inputs the received data into a generative artificial intelligence model (e.g., GPT-4) to generate appropriate answers and procedures based on the questions and reports. The generated answers are stored in an internal data structure and linked to the next process. For example, it might generate, "For transfer procedures, the required documents are a transfer notification form, identification card, and resident registration certificate."

[2370] Step 3:

[2371] The server uses an emotion engine (e.g., Affectiva) to analyze the user's emotional state from their input text or voice. Once the emotion engine analyzes the data, it identifies emotions such as anxiety, anger, and surprise, and adds the analysis results to the server's internal data structure. For example, the emotion of anxiety might be recognized from the phrase "I saw a suspicious person."

[2372] Step 4:

[2373] The server adjusts the generated response content and tone based on the recognized emotional state. If the emotion is recognized as anxiety, the response is changed to a reassuring tone, such as "Confirmed. I have notified other security personnel, and support will arrive shortly." The adjusted response is then updated in the internal data structure.

[2374] Step 5:

[2375] The server sends the final generated response and tone to the terminal. This allows the user to see optimized answers to their questions and reports in real time. For example, a friendly response might appear saying, "The transfer process is simple. You will need a transfer of residence form, identification, and a resident registration certificate. You can apply at the city hall counter."

[2376] Step 6:

[2377] User feedback and additional reports are sent to the server. The feedback is received via an online form and analyzed again by a generative artificial intelligence model and sentiment engine. This generates reports based on citizens' sentiments and requests, which are then provided to local governments. For example, if there is feedback that "parks are not kept clean," this is recognized as a problem raised by many citizens.

[2378] 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.

[2379] 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,...

Claims

1. A means of answering questions from citizens regarding administrative procedures using a generative artificial intelligence model, A means of providing citizens with the necessary documents and details of procedures in response to their questions, A means of collecting feedback and requests from citizens through online forms and analyzing them with a generative artificial intelligence model, A means of providing information on local government policies and events, and conducting awareness campaigns for citizens, A system that includes this.

2. The system according to claim 1, which allows citizens to receive online support 24 hours a day, 365 days a year using a terminal.

3. The system according to claim 1, which analyzes collected feedback, extracts common problems, and provides the data to local governments.

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